What Deep Learning Solutions Jobs are in Australia?
Showing 90 Deep Learning Solutions jobs in Australia
Job Description
Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant combines a passion for client satisfaction, technology innovation, deep industry and business process expertise, and a global, collaborative workforce that embodies the future of work. Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 2000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world.
**Our Culture**
Your passion, integrity and experience are integral to Cognizant's success. You will join a dynamic and expanding global leader in IT and Business consultancy where you will be valued for who you are. We take pride in our partnership with our clients, so your ability to add value and provide exceptional service to our clients is fundamental to your success. In return, you will be presented with opportunities to develop your career and collaborate with talented colleagues in a supportive, diverse environment.
At Cognizant we recognize that companies that are open and welcoming to a multi-culturally diverse workforce will thrive with fresh perspectives and collaborative knowledge. Cognizant focuses on promoting & increasing gender diversity and providing a workplace which encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success.
**Job Summary:**
We are seeking an ML Engineer to build, deploy, and operationalize machine learning models as part of a data platform modernization program for an Australian payments company. This role focuses on end-to-end ML pipeline development from feature engineering and model training to deployment, monitoring, and inference using AWS SageMaker and related services. The ideal candidate can translate Data Scientist prototypes into production-grade ML systems with robust monitoring and automation.
**Key Responsibilities:**
· Develop end-to-end ML pipelines covering feature engineering, model training, evaluation, deployment, and monitoring on AWS SageMaker.
· Build and maintain feature pipelines that feed a centralized feature store for use across multiple ML models (e.g., churn, propensity, segmentation).
· Deploy ML models as real-time (endpoint) and batch (scheduled) inference services with SageMaker.
· Implement model monitoring, performance tracking, and data/model drift detection mechanisms.
· Collaborate with Data Scientists to productionize experimental models and optimize for latency, cost, and reliability.
· Build ML pipeline orchestration using SageMaker Pipelines, Step Functions, or equivalent workflow tools.
· Integrate model outputs with downstream systems (e.g., Snowflake, Salesforce, BI tools) via reverse ETL or API patterns.
· Implement and manage model versioning, A/B testing, and champion/challenger deployment patterns.
· Contribute to the MLOps framework, including CI/CD for ML, automated retraining triggers, and experiment tracking (e.g., MLflow).
**Required Skills & Experience:**
· Deep hands-on experience with SageMaker for training, hosting, pipelines, and model registry.
· Expert-level Python for ML development (scikit-learn, XGBoost, LightGBM, PyTorch, or TensorFlow).
· Hands-on experience deploying ML models to production endpoints (real-time and batch).
· Experience implementing drift detection, performance dashboards, and automated alerting for deployed models.
· Understanding of MLOps principles: CI/CD for ML, experiment tracking, model versioning, and automated retraining.
· Strong SQL skills for feature extraction and data validation from Snowflake or similar warehouses.
**Preferred Skills (Nice-to-Have):**
· Experience with MLflow, Weights & Biases, or equivalent experiment tracking tools.
· Familiarity with Snowflake Cortex or Snowpark ML.
· Knowledge of LLM integration patterns and AWS Bedrock.
· Experience building propensity, churn, or recommendation models in fintech or payments.
· Familiarity with Docker, Kubernetes, or containerized ML deployments.
· AWS Certified Machine Learning - Specialty certification.
**Benefits:**
Joining Cognizant will give you the opportunity to learn and collaborate with some of the most talented people in the industry, while having your finger on the pulse of emerging industry trends and working on the cutting edge of technology in your field of expertise.
We recognize that our people perform at their best when they feel valued as significant contributors and that is why at Cognizant, taking care of our employees is a priority:
· You can pursue innovative career tracks and opportunities here
· You can enhance your professional development through education and dedicated training
· We'll give you the skills you need to keep pace with the changing workplace while our compensation, benefits and wellness packages help you stay healthy and plan for the future.
**Next Steps:**
Please reach out to our friendly and welcoming team today to apply and register your interest for this full-time role. We'd love to help you get your next role and enable you to fulfil your professional ambitions.
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
**Our Culture**
Your passion, integrity and experience are integral to Cognizant's success. You will join a dynamic and expanding global leader in IT and Business consultancy where you will be valued for who you are. We take pride in our partnership with our clients, so your ability to add value and provide exceptional service to our clients is fundamental to your success. In return, you will be presented with opportunities to develop your career and collaborate with talented colleagues in a supportive, diverse environment.
At Cognizant we recognize that companies that are open and welcoming to a multi-culturally diverse workforce will thrive with fresh perspectives and collaborative knowledge. Cognizant focuses on promoting & increasing gender diversity and providing a workplace which encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success.
**Job Summary:**
We are seeking an ML Engineer to build, deploy, and operationalize machine learning models as part of a data platform modernization program for an Australian payments company. This role focuses on end-to-end ML pipeline development from feature engineering and model training to deployment, monitoring, and inference using AWS SageMaker and related services. The ideal candidate can translate Data Scientist prototypes into production-grade ML systems with robust monitoring and automation.
**Key Responsibilities:**
· Develop end-to-end ML pipelines covering feature engineering, model training, evaluation, deployment, and monitoring on AWS SageMaker.
· Build and maintain feature pipelines that feed a centralized feature store for use across multiple ML models (e.g., churn, propensity, segmentation).
· Deploy ML models as real-time (endpoint) and batch (scheduled) inference services with SageMaker.
· Implement model monitoring, performance tracking, and data/model drift detection mechanisms.
· Collaborate with Data Scientists to productionize experimental models and optimize for latency, cost, and reliability.
· Build ML pipeline orchestration using SageMaker Pipelines, Step Functions, or equivalent workflow tools.
· Integrate model outputs with downstream systems (e.g., Snowflake, Salesforce, BI tools) via reverse ETL or API patterns.
· Implement and manage model versioning, A/B testing, and champion/challenger deployment patterns.
· Contribute to the MLOps framework, including CI/CD for ML, automated retraining triggers, and experiment tracking (e.g., MLflow).
**Required Skills & Experience:**
· Deep hands-on experience with SageMaker for training, hosting, pipelines, and model registry.
· Expert-level Python for ML development (scikit-learn, XGBoost, LightGBM, PyTorch, or TensorFlow).
· Hands-on experience deploying ML models to production endpoints (real-time and batch).
· Experience implementing drift detection, performance dashboards, and automated alerting for deployed models.
· Understanding of MLOps principles: CI/CD for ML, experiment tracking, model versioning, and automated retraining.
· Strong SQL skills for feature extraction and data validation from Snowflake or similar warehouses.
**Preferred Skills (Nice-to-Have):**
· Experience with MLflow, Weights & Biases, or equivalent experiment tracking tools.
· Familiarity with Snowflake Cortex or Snowpark ML.
· Knowledge of LLM integration patterns and AWS Bedrock.
· Experience building propensity, churn, or recommendation models in fintech or payments.
· Familiarity with Docker, Kubernetes, or containerized ML deployments.
· AWS Certified Machine Learning - Specialty certification.
**Benefits:**
Joining Cognizant will give you the opportunity to learn and collaborate with some of the most talented people in the industry, while having your finger on the pulse of emerging industry trends and working on the cutting edge of technology in your field of expertise.
We recognize that our people perform at their best when they feel valued as significant contributors and that is why at Cognizant, taking care of our employees is a priority:
· You can pursue innovative career tracks and opportunities here
· You can enhance your professional development through education and dedicated training
· We'll give you the skills you need to keep pace with the changing workplace while our compensation, benefits and wellness packages help you stay healthy and plan for the future.
**Next Steps:**
Please reach out to our friendly and welcoming team today to apply and register your interest for this full-time role. We'd love to help you get your next role and enable you to fulfil your professional ambitions.
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
Is this job a match or a miss?
Apply Now
0
Job Description
Description
AWS Networking operates one of the largest and most complex networks on the planet. The team you'd join is responsible for the availability of that network - measuring how it performs for customers, predicting where it is most likely to degrade, and reshaping how we operate it as the workload grows.
We are in the middle of a significant change in how network operations are run. Lessons from our recent work on automation, AI, and ML - including agentic systems that triage and mitigate incidents alongside engineers - are feeding into a broader rethink of where humans focus, where automation takes over, and how we measure whether either is working. We are looking for a Data Scientist to join the team in Sydney to drive the data science strategy behind that change. You will define the metrics that matter, own the evidence the team uses to make decisions, and measure whether each decision delivered the outcomes we expected.
You'll be the data science voice on a team of senior network and software engineers - the person who decides what we measure, how we measure it, and what the numbers actually mean. Concretely, that means setting the analytical bar for the program, designing risk and reliability models against telemetry from millions of network devices, surfacing the patterns that drive customer-impact incidents, and turning that analysis into the dashboards and metrics our leaders use to set priorities. It also means owning the evaluations that tell us when a new piece of automation - including the agents we are rolling out to support engineers on the front line - is actually moving the needle on availability, and not just adding noise.
If you are a scientist who wants to shape how a tier-one production network is run - using data to drive program strategy, not just to support it - at a scale no academic lab or startup can match, and you're at your best as the data science voice embedded in a team of engineers, this is the team for you.
Key job responsibilities
- Define and drive the data science strategy for the program - the metrics, the experiments, and what counts as evidence that a change worked
- Lead the design and deployment of predictive risk and reliability models for network availability, using device failures, alarm telemetry, ticket data, and traffic signals
- Own the evidence behind program decisions: where availability is at risk, where automation is ready to expand, where engineering effort has the highest leverage. Defend recommendations to senior technical and business audiences
- Design and own the operational analytics and dashboards (Amazon QuickSight, Amazon CloudWatch, Python) used by senior leadership to track network health and the impact of operational change
- Design and run experiments to evaluate the automation we are rolling out - including agentic systems supporting engineers on incidents - measuring whether each rollout improved availability
- Drive data quality and classification improvements - event categorisation, root-cause attribution - so the program's metrics rest on solid ground
- Build and own event-driven scoring pipelines (Python, SQL, AWS Lambda, Amazon S3, Amazon Athena) that keep the decide / measure / improve loop running
- Bring statistical rigour to the engineers you partner with - review experiment designs, push back on unsupported assumptions, and raise the bar on how the team uses evidence
A day in the life
You might start the morning defining how the team will measure a new initiative - the success metrics, the counterfactual, the bar for calling it a win. By mid-morning you're with the engineering team turning a proposal into a decision: walking through trade-offs, pushing back where the data doesn't support an assumption. The afternoon is outcome measurement - refining the evaluation pipeline that tracks last week's rollout, updating the CloudWatch dashboard senior leadership uses to gate the next expansion, and prepping the data for an upcoming Director review.
About the team
We sit inside AWS Networking with a strong Sydney presence and a remit that spans network availability, the data and analytics that support it, and the automation we are building to change how operations are done. You'd be the data science voice in a small, senior team of network and software engineers in Sydney, partnering with the broader network engineering organisation across Seattle and Dublin. Small team, high autonomy, direct line to senior leadership, and a roadmap with real production impact rather than research demos.
Basic Qualifications
- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- 1+ years of working with or evaluating AI systems experience
Preferred Qualifications
- Bachelor's degree or above in Science, Technology, Engineering, or Mathematics (STEM)
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
- Experience in defining and creating benchmarks for assessing GenAI model performance
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
AWS Networking operates one of the largest and most complex networks on the planet. The team you'd join is responsible for the availability of that network - measuring how it performs for customers, predicting where it is most likely to degrade, and reshaping how we operate it as the workload grows.
We are in the middle of a significant change in how network operations are run. Lessons from our recent work on automation, AI, and ML - including agentic systems that triage and mitigate incidents alongside engineers - are feeding into a broader rethink of where humans focus, where automation takes over, and how we measure whether either is working. We are looking for a Data Scientist to join the team in Sydney to drive the data science strategy behind that change. You will define the metrics that matter, own the evidence the team uses to make decisions, and measure whether each decision delivered the outcomes we expected.
You'll be the data science voice on a team of senior network and software engineers - the person who decides what we measure, how we measure it, and what the numbers actually mean. Concretely, that means setting the analytical bar for the program, designing risk and reliability models against telemetry from millions of network devices, surfacing the patterns that drive customer-impact incidents, and turning that analysis into the dashboards and metrics our leaders use to set priorities. It also means owning the evaluations that tell us when a new piece of automation - including the agents we are rolling out to support engineers on the front line - is actually moving the needle on availability, and not just adding noise.
If you are a scientist who wants to shape how a tier-one production network is run - using data to drive program strategy, not just to support it - at a scale no academic lab or startup can match, and you're at your best as the data science voice embedded in a team of engineers, this is the team for you.
Key job responsibilities
- Define and drive the data science strategy for the program - the metrics, the experiments, and what counts as evidence that a change worked
- Lead the design and deployment of predictive risk and reliability models for network availability, using device failures, alarm telemetry, ticket data, and traffic signals
- Own the evidence behind program decisions: where availability is at risk, where automation is ready to expand, where engineering effort has the highest leverage. Defend recommendations to senior technical and business audiences
- Design and own the operational analytics and dashboards (Amazon QuickSight, Amazon CloudWatch, Python) used by senior leadership to track network health and the impact of operational change
- Design and run experiments to evaluate the automation we are rolling out - including agentic systems supporting engineers on incidents - measuring whether each rollout improved availability
- Drive data quality and classification improvements - event categorisation, root-cause attribution - so the program's metrics rest on solid ground
- Build and own event-driven scoring pipelines (Python, SQL, AWS Lambda, Amazon S3, Amazon Athena) that keep the decide / measure / improve loop running
- Bring statistical rigour to the engineers you partner with - review experiment designs, push back on unsupported assumptions, and raise the bar on how the team uses evidence
A day in the life
You might start the morning defining how the team will measure a new initiative - the success metrics, the counterfactual, the bar for calling it a win. By mid-morning you're with the engineering team turning a proposal into a decision: walking through trade-offs, pushing back where the data doesn't support an assumption. The afternoon is outcome measurement - refining the evaluation pipeline that tracks last week's rollout, updating the CloudWatch dashboard senior leadership uses to gate the next expansion, and prepping the data for an upcoming Director review.
About the team
We sit inside AWS Networking with a strong Sydney presence and a remit that spans network availability, the data and analytics that support it, and the automation we are building to change how operations are done. You'd be the data science voice in a small, senior team of network and software engineers in Sydney, partnering with the broader network engineering organisation across Seattle and Dublin. Small team, high autonomy, direct line to senior leadership, and a roadmap with real production impact rather than research demos.
Basic Qualifications
- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- 1+ years of working with or evaluating AI systems experience
Preferred Qualifications
- Bachelor's degree or above in Science, Technology, Engineering, or Mathematics (STEM)
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
- Experience in defining and creating benchmarks for assessing GenAI model performance
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Is this job a match or a miss?
Apply Now
1
I2C DS Collection & Dispute Mgmt Analyst
North Ryde
J&J Family of Companies
Posted 2 days ago
Job Viewed
Job Description
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com ( .
As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.
**Job Function:**
Finance
**Job Sub** **Function:**
AP/AR
**Job Category:**
Professional
**All Job Posting Locations:**
North Ryde, New South Wales, Australia
**Job Description:**
Johnson & Johnson announced plans to separate our Orthopaedics business to establish a standalone orthopaedics company, operating as DePuy Synthes. The process of the planned separation is anticipated to be completed within 18 to 24 months, subject to legal requirements, including consultation with works councils and other employee representative bodies, as may be required, regulatory approvals and other customary conditions and approvals. Should you accept this position, it is anticipated that, following conclusion of the transaction, you would be an employee of DePuy Synthes and your employment would be governed by DePuy Synthes employment processes, programs, policies, and benefit plans. In that case, details of any planned changes would be provided to you by DePuy Synthes at an appropriate time and subject to any necessary consultation processes.
DePuy Synthes is recruiting for a Analyst, I2C, located in North Ryde, Australia.
+ **Join our change journey at J&J-help shape what's next**
+ **Step into a high-impact career opportunity with real visibility**
**THE OPPORTUNITY**
The Analyst, I2C (Invoice‑to‑Cash) supports end‑to‑end order‑to‑cash activities to ensure accurate billing, timely collections, and effective resolution of customer account issues. This role plays a key part in maintaining strong cash flow, customer satisfaction, and financial integrity by partnering closely with commercial, customer service, and finance teams. The position offers exposure to core financial processes within a global medical devices organization and opportunities to build analytical and operational expertise.
RESPONSIBILITIES
+ Support invoice‑to‑cash processes including billing, cash application, collections support, and dispute resolution.
+ Review and analyze customer accounts to ensure accuracy, completeness, and compliance with internal policies.
+ Investigate and resolve billing discrepancies, payment issues, and customer inquiriesin a timely manner.
+ Partner with Customer Service, Sales, and Finance to address order, pricing, or credit‑related issues.
+ Prepare andmaintainreports, reconciliations, and documentation related to I2C activities.
+ Supportmonth‑end close activities and ensure adherence to internal controls and compliance requirements.
+ Identifyprocess improvement opportunities to enhance efficiency, accuracy, and customer experience.
**ABOUT YOU**
**Required:**
+ Bachelor's degreerequiredin Finance, Accounting, Business Administration, ora relatedfield.
+ 0-2 years of experiencein invoice‑to‑cash, accounts receivable, order‑to‑cash, finance operations, ora relatedfunction.
+ Working knowledge of billing, collections, cash application, and customer account management processes.
+ Strong analytical and problem‑solving skills with attention to detail.
+ Ability to manage multiple priorities and meet deadlines in a fast‑paced environment.
+ Proficiencywith ERP systems and Microsoft Excel or similar tools.
**Desirable:**
+ **Spanish speaker**
+ Experience working in a shared services or global business services environment.
+ Experience in a regulated industry such as healthcare, medical devices, or pharmaceuticals.
+ Exposure to process improvement or continuous improvement initiatives.
+ Experience collaborating with cross‑functional and regional teams.
+ Effective written and verbal communication skills.
**Other** :
+ Languages:English and Spanishrequired.
+ Travel:Limited; occasional domestic or regional travel as needed.
**COMPANY CULTURE**
+ Competitive remuneration package.
+ Continuous training and support.
+ Award-winning leadership development programs.
+ Inclusive, flexible, and accessible working arrangements.
+ Equal opportunity employer supporting diversity and inclusion.
**WHY CHOOSE US:**
+ Competitive remuneration package and continuous training.
+ Supportive environment with award-winning leadership development programs.
+ Inclusive, flexible, and accessible working arrangements for all.
Johnson & Johnson announced plans to separate our Orthopaedics business to establish a standalone orthopaedics company, operating as DePuy Synthes. The process of the planned separation is anticipated to be completed within 18 to 24 months, subject to legal requirements, including consultation with works councils and other employee representative bodies, as may be required, regulatory approvals and other customary conditions and approvals. Should you accept this position, it is anticipated that, following conclusion of the transaction, you would be an employee of DePuy Synthes and your employment would be governed by DePuy Synthes employment processes, programs, policies, and benefit plans. In that case, details of any planned changes would be provided to you by DePuy Synthes at an appropriate time and subject to any necessary consultation processes.
Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via internal employees contact AskGS to be directed to your accommodation resource.
\#LI-Hybrid
\#DePuySynthesCareers
**Required Skills:**
**Preferred Skills:**
As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.
**Job Function:**
Finance
**Job Sub** **Function:**
AP/AR
**Job Category:**
Professional
**All Job Posting Locations:**
North Ryde, New South Wales, Australia
**Job Description:**
Johnson & Johnson announced plans to separate our Orthopaedics business to establish a standalone orthopaedics company, operating as DePuy Synthes. The process of the planned separation is anticipated to be completed within 18 to 24 months, subject to legal requirements, including consultation with works councils and other employee representative bodies, as may be required, regulatory approvals and other customary conditions and approvals. Should you accept this position, it is anticipated that, following conclusion of the transaction, you would be an employee of DePuy Synthes and your employment would be governed by DePuy Synthes employment processes, programs, policies, and benefit plans. In that case, details of any planned changes would be provided to you by DePuy Synthes at an appropriate time and subject to any necessary consultation processes.
DePuy Synthes is recruiting for a Analyst, I2C, located in North Ryde, Australia.
+ **Join our change journey at J&J-help shape what's next**
+ **Step into a high-impact career opportunity with real visibility**
**THE OPPORTUNITY**
The Analyst, I2C (Invoice‑to‑Cash) supports end‑to‑end order‑to‑cash activities to ensure accurate billing, timely collections, and effective resolution of customer account issues. This role plays a key part in maintaining strong cash flow, customer satisfaction, and financial integrity by partnering closely with commercial, customer service, and finance teams. The position offers exposure to core financial processes within a global medical devices organization and opportunities to build analytical and operational expertise.
RESPONSIBILITIES
+ Support invoice‑to‑cash processes including billing, cash application, collections support, and dispute resolution.
+ Review and analyze customer accounts to ensure accuracy, completeness, and compliance with internal policies.
+ Investigate and resolve billing discrepancies, payment issues, and customer inquiriesin a timely manner.
+ Partner with Customer Service, Sales, and Finance to address order, pricing, or credit‑related issues.
+ Prepare andmaintainreports, reconciliations, and documentation related to I2C activities.
+ Supportmonth‑end close activities and ensure adherence to internal controls and compliance requirements.
+ Identifyprocess improvement opportunities to enhance efficiency, accuracy, and customer experience.
**ABOUT YOU**
**Required:**
+ Bachelor's degreerequiredin Finance, Accounting, Business Administration, ora relatedfield.
+ 0-2 years of experiencein invoice‑to‑cash, accounts receivable, order‑to‑cash, finance operations, ora relatedfunction.
+ Working knowledge of billing, collections, cash application, and customer account management processes.
+ Strong analytical and problem‑solving skills with attention to detail.
+ Ability to manage multiple priorities and meet deadlines in a fast‑paced environment.
+ Proficiencywith ERP systems and Microsoft Excel or similar tools.
**Desirable:**
+ **Spanish speaker**
+ Experience working in a shared services or global business services environment.
+ Experience in a regulated industry such as healthcare, medical devices, or pharmaceuticals.
+ Exposure to process improvement or continuous improvement initiatives.
+ Experience collaborating with cross‑functional and regional teams.
+ Effective written and verbal communication skills.
**Other** :
+ Languages:English and Spanishrequired.
+ Travel:Limited; occasional domestic or regional travel as needed.
**COMPANY CULTURE**
+ Competitive remuneration package.
+ Continuous training and support.
+ Award-winning leadership development programs.
+ Inclusive, flexible, and accessible working arrangements.
+ Equal opportunity employer supporting diversity and inclusion.
**WHY CHOOSE US:**
+ Competitive remuneration package and continuous training.
+ Supportive environment with award-winning leadership development programs.
+ Inclusive, flexible, and accessible working arrangements for all.
Johnson & Johnson announced plans to separate our Orthopaedics business to establish a standalone orthopaedics company, operating as DePuy Synthes. The process of the planned separation is anticipated to be completed within 18 to 24 months, subject to legal requirements, including consultation with works councils and other employee representative bodies, as may be required, regulatory approvals and other customary conditions and approvals. Should you accept this position, it is anticipated that, following conclusion of the transaction, you would be an employee of DePuy Synthes and your employment would be governed by DePuy Synthes employment processes, programs, policies, and benefit plans. In that case, details of any planned changes would be provided to you by DePuy Synthes at an appropriate time and subject to any necessary consultation processes.
Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via internal employees contact AskGS to be directed to your accommodation resource.
\#LI-Hybrid
\#DePuySynthesCareers
**Required Skills:**
**Preferred Skills:**
Is this job a match or a miss?
Apply Now
2
Job Description
Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant combines a passion for client satisfaction, technology innovation, deep industry and business process expertise, and a global, collaborative workforce that embodies the future of work. Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 2000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world.
**Our Culture**
Your passion, integrity and experience are integral to Cognizant's success. You will join a dynamic and expanding global leader in IT and Business consultancy where you will be valued for who you are. We take pride in our partnership with our clients, so your ability to add value and provide exceptional service to our clients is fundamental to your success. In return, you will be presented with opportunities to develop your career and collaborate with talented colleagues in a supportive, diverse environment.
At Cognizant we recognize that companies that are open and welcoming to a multi-culturally diverse workforce will thrive with fresh perspectives and collaborative knowledge. Cognizant focuses on promoting & increasing gender diversity and providing a workplace which encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success.
**Job Summary:**
We are looking for an experienced Data Scientist to develop and deploy advanced machine learning solutions that enhance customer experience, drive personalization, and generate actionable business insights. The ideal candidate will have a strong background in predictive modeling, customer analytics, experimentation, and AI/ML deployment, with the ability to translate complex data into impactful customer-focused solutions.
**Roles & Responsibilities:**
+ Design, develop, and deploy machine learning models to support customer segmentation, churn prediction, recommendation systems, propensity modeling, and personalization initiatives.
+ Build and maintain robust model evaluation, monitoring, and performance tracking frameworks to ensure sustained business impact.
+ Conduct A/B testing, statistical analysis, and experimentation to measure and improve customer experience outcomes.
+ Implement model governance best practices, including explainability, fairness assessment, bias detection, drift monitoring, and compliance requirements.
+ Collaborate with Data Engineers and ML Engineers to productionize and scale AI/ML solutions across enterprise platforms.
+ Perform end-to-end data science activities, including data exploration, feature engineering, model development, training, validation, and optimization.
**Required Qualifications & Experience**
+ 6-10 yrs in Data Science / ML
+ Strong Python + ML frameworks (scikit-learn, TensorFlow, PyTorch)
+ Experience in retail/customer analytics preferred
+ Good understanding of GenAI / personalization use cases
**Benefits:**
Joining Cognizant will give you the opportunity to learn and collaborate with some of the most talented people in the industry, while having your finger on the pulse of emerging industry trends and working on the cutting edge of technology in your field of expertise.
We recognize that our people perform at their best when they feel valued as significant contributors and that is why at Cognizant, taking care of our employees is a priority:
· You can pursue innovative career tracks and opportunities here
· You can enhance your professional development through education and dedicated training
· We'll give you the skills you need to keep pace with the changing workplace while our compensation, benefits and wellness packages help you stay healthy and plan for the future.
**Next Steps:**
Please reach out to our friendly and welcoming team today to apply and register your interest for this full-time role. We'd love to help you get your next role and enable you to fulfil your professional ambitions.
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
**Our Culture**
Your passion, integrity and experience are integral to Cognizant's success. You will join a dynamic and expanding global leader in IT and Business consultancy where you will be valued for who you are. We take pride in our partnership with our clients, so your ability to add value and provide exceptional service to our clients is fundamental to your success. In return, you will be presented with opportunities to develop your career and collaborate with talented colleagues in a supportive, diverse environment.
At Cognizant we recognize that companies that are open and welcoming to a multi-culturally diverse workforce will thrive with fresh perspectives and collaborative knowledge. Cognizant focuses on promoting & increasing gender diversity and providing a workplace which encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success.
**Job Summary:**
We are looking for an experienced Data Scientist to develop and deploy advanced machine learning solutions that enhance customer experience, drive personalization, and generate actionable business insights. The ideal candidate will have a strong background in predictive modeling, customer analytics, experimentation, and AI/ML deployment, with the ability to translate complex data into impactful customer-focused solutions.
**Roles & Responsibilities:**
+ Design, develop, and deploy machine learning models to support customer segmentation, churn prediction, recommendation systems, propensity modeling, and personalization initiatives.
+ Build and maintain robust model evaluation, monitoring, and performance tracking frameworks to ensure sustained business impact.
+ Conduct A/B testing, statistical analysis, and experimentation to measure and improve customer experience outcomes.
+ Implement model governance best practices, including explainability, fairness assessment, bias detection, drift monitoring, and compliance requirements.
+ Collaborate with Data Engineers and ML Engineers to productionize and scale AI/ML solutions across enterprise platforms.
+ Perform end-to-end data science activities, including data exploration, feature engineering, model development, training, validation, and optimization.
**Required Qualifications & Experience**
+ 6-10 yrs in Data Science / ML
+ Strong Python + ML frameworks (scikit-learn, TensorFlow, PyTorch)
+ Experience in retail/customer analytics preferred
+ Good understanding of GenAI / personalization use cases
**Benefits:**
Joining Cognizant will give you the opportunity to learn and collaborate with some of the most talented people in the industry, while having your finger on the pulse of emerging industry trends and working on the cutting edge of technology in your field of expertise.
We recognize that our people perform at their best when they feel valued as significant contributors and that is why at Cognizant, taking care of our employees is a priority:
· You can pursue innovative career tracks and opportunities here
· You can enhance your professional development through education and dedicated training
· We'll give you the skills you need to keep pace with the changing workplace while our compensation, benefits and wellness packages help you stay healthy and plan for the future.
**Next Steps:**
Please reach out to our friendly and welcoming team today to apply and register your interest for this full-time role. We'd love to help you get your next role and enable you to fulfil your professional ambitions.
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
Is this job a match or a miss?
Apply Now
3
Job Description
Description
AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and consistent support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.
Are you passionate about developing machine learning (ML) and Generative AI (GenAI) solutions? Would you like to help major global companies develop new businesses using ML and GenAI? Amazon has been investing in research and application of ML for decades. We are looking for people who can leverage their machine learning and Generative AI expertise to solve various business problems for our customers.
AWS Professional Services helps AWS customers accelerate the use of ML and GenAI to solve business and operational challenges and drive innovation within their organisations. If you have experience building ML or GenAI solutions, we encourage you to join us. We are constantly innovating at AWS, and look forward to working with great teammates and helping our customers together.
AI/ML Consultants understand customer business issues, analyse them, and summarise solutions. They build these solutions, using ML, GenAI and related AWS ML services as core component to solve the customer issues. They also work with their teammates such as AI/ML Engineers and Application Developers to bring these solutions to a production ready level. They are passionate about setting innovative goals and providing technical solutions to achieve them.
Key job responsibilities
- Accurately understand the customer's business challenges and needs, structure the problems, and organise them as business requirements.
- Extract the IT requirements necessary to realise the business requirements and select candidate AI/ML services and algorithms. In addition, you will work with specialist roles in related technical fields to build and verify ML solutions, as wellas help develop an architecture that combines the necessary AWS services for achieving the customer's goals.
- Assist our customer on developing ML and GenAI projects from start to finish, providing technical sales support, conducting exploratory data analysis, building and validating ML and/or GenAI solutions, deploying validated solutions on their supporting infrastructure, and providing training to our customers.
- Collaborate with ML Engineers Cloud Architect and Application Developer to build a production ready ML or GenAI solution
- To support the above, you will work with a wide range of IT tools, including AWS services (e.g. Amazon Bedrock, Amazon Sagemaker, Amazon AgentCore), Git and Docker, as well as with a range on Ml and GenAI framework such as Strands-Agents, pytorch, transformers, etc
A day in the life
AWS Professional Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
Basic Qualifications
- Bachelor's degree or above in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related fields
- Experience with AWS or cloud technologies
- 3 to 5 years of experience as a data scientist with experience building ML model and prompting GenAI model
Preferred Qualifications
- Master's degree or above in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related fields
- Deep technical skills and business savvy, able to collaborate with a wide range of clients, from business to engineering
- Skills in creating experimental plans to iteratively develop AI and GenAI solutions, and the ability to accurately determine cause-and-effect relationships using baselines.
- Experience consulting with customers (including user departments) on their AI and GenAI needs.
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and consistent support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.
Are you passionate about developing machine learning (ML) and Generative AI (GenAI) solutions? Would you like to help major global companies develop new businesses using ML and GenAI? Amazon has been investing in research and application of ML for decades. We are looking for people who can leverage their machine learning and Generative AI expertise to solve various business problems for our customers.
AWS Professional Services helps AWS customers accelerate the use of ML and GenAI to solve business and operational challenges and drive innovation within their organisations. If you have experience building ML or GenAI solutions, we encourage you to join us. We are constantly innovating at AWS, and look forward to working with great teammates and helping our customers together.
AI/ML Consultants understand customer business issues, analyse them, and summarise solutions. They build these solutions, using ML, GenAI and related AWS ML services as core component to solve the customer issues. They also work with their teammates such as AI/ML Engineers and Application Developers to bring these solutions to a production ready level. They are passionate about setting innovative goals and providing technical solutions to achieve them.
Key job responsibilities
- Accurately understand the customer's business challenges and needs, structure the problems, and organise them as business requirements.
- Extract the IT requirements necessary to realise the business requirements and select candidate AI/ML services and algorithms. In addition, you will work with specialist roles in related technical fields to build and verify ML solutions, as wellas help develop an architecture that combines the necessary AWS services for achieving the customer's goals.
- Assist our customer on developing ML and GenAI projects from start to finish, providing technical sales support, conducting exploratory data analysis, building and validating ML and/or GenAI solutions, deploying validated solutions on their supporting infrastructure, and providing training to our customers.
- Collaborate with ML Engineers Cloud Architect and Application Developer to build a production ready ML or GenAI solution
- To support the above, you will work with a wide range of IT tools, including AWS services (e.g. Amazon Bedrock, Amazon Sagemaker, Amazon AgentCore), Git and Docker, as well as with a range on Ml and GenAI framework such as Strands-Agents, pytorch, transformers, etc
A day in the life
AWS Professional Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
Basic Qualifications
- Bachelor's degree or above in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related fields
- Experience with AWS or cloud technologies
- 3 to 5 years of experience as a data scientist with experience building ML model and prompting GenAI model
Preferred Qualifications
- Master's degree or above in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related fields
- Deep technical skills and business savvy, able to collaborate with a wide range of clients, from business to engineering
- Skills in creating experimental plans to iteratively develop AI and GenAI solutions, and the ability to accurately determine cause-and-effect relationships using baselines.
- Experience consulting with customers (including user departments) on their AI and GenAI needs.
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Is this job a match or a miss?
Apply Now
4
Associate Solutions Architect, ANZ CSC Solutions Architects
Sydney
Amazon
Posted 2 days ago
Job Viewed
Job Description
Description
AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and consistent support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.
AWS is where innovation, risks, and ideas are celebrated. We are builders, we try new things, and imagine big dreams. It is still Day 1 for us, and we are looking for curious people to be part of our diverse teams of thinkers, testers, and doers. Come join us and work with the latest cloud technologies that enable our customers to adopt cloud based solutions. At AWS, we refer to ourselves as builders. We are looking for more builders to join our growing and diverse teams within the Cloud Sales Centre (CSC).
The Solutions Architect team at AWS is responsible for helping customers successfully implement cloud technologies. Partnering with internal teams and leveraging a deep knowledge of our tools and products, you'll craft highly-scalable, flexible, and resilient cloud architectures that address our customers' business problems. As part of our team, you'll have the opportunity to innovate daily and define the future of cloud computing. Come join us in making the impossible, possible.
Key job responsibilities
As a Solutions Architect, you'll help your customers successfully implement cloud technologies. You'll solve complex, technical challenges so your customers can focus on their business. This includes using your knowledge to craft scalable, flexible, and resilient cloud architectures. You'll take part in technical solutions discussions, diving deep into the details with customer teams.
Building relationships to understand our customers is key. As a trusted technical advisor, you'll use your interpersonal skills to influence a variety of stakeholders from technical teams to executives. You will help ensure their short-term technology decisions are aligned with their long-term goals. Speeding up the adoption of our services will be part of your day to day. You will also engage with the AWS Partner Network to help customers select and work with the right partners who can help customers accelerate their cloud adoption.
You'll also act as an evangelist in the wider community. This includes taking part in educating, sharing best practices, presenting at events, writing white papers, blogs, and running workshops. You won't just want to be part of an industry movement; you'll want to be leading it.
As a Builder, you'll also have the chance to shape the direction of our products and services. This is through gathering feedback from customers whilst collaborating with our engineering and service teams.
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
A day in the life
Want to find out what it's like to be a Solution Architect at AWS? Watch this video ( are the Solutions Architects (SAs) team within the Cloud Sales Center (CSC), the frontline sales organization of AWS. As the technical backbone of CSC, we blend deep technical expertise with business acumen to guide customers through their cloud transformation journey. Working alongside Demand Generation Reps and Cloud Sales Reps, we provide scalable, high-velocity service through digital selling across the Asia Pacific region. Our role is to understand customer requirements precisely, propose optimal AWS solutions, and ensure architectural integrity. We act as trusted advisors, tailoring our guidance to each region's unique characteristics while adhering to AWS best practices.
About the team
About the team
This role is within the ANZ CSC team. The CSC is the one of sales organisation at AWS and is focused on new customer acquisitions across ANZ at scale. You will have the exciting opportunity to work cross-functionally and cross-geographically, as you collaborate with internal stakeholders from sales, operations, partner, and marketing teams, while being part of a dynamic and fast moving team.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
- Experience with one of the following programming languages: Python, Ruby, Node.js, C#, or C+- Experience with two or more of the following: networking fundamentals, security, storage or databases (relational or NoSQL), operating systems (Unix, Linux, or Windows)
Preferred Qualifications
- Experience implementing a cloud-based technology solution
- Experience in any of the following: Cloud Architecture, Systems Design, Software Development, Infrastructure Architecture, Data Engineering or DevOps
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and consistent support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.
AWS is where innovation, risks, and ideas are celebrated. We are builders, we try new things, and imagine big dreams. It is still Day 1 for us, and we are looking for curious people to be part of our diverse teams of thinkers, testers, and doers. Come join us and work with the latest cloud technologies that enable our customers to adopt cloud based solutions. At AWS, we refer to ourselves as builders. We are looking for more builders to join our growing and diverse teams within the Cloud Sales Centre (CSC).
The Solutions Architect team at AWS is responsible for helping customers successfully implement cloud technologies. Partnering with internal teams and leveraging a deep knowledge of our tools and products, you'll craft highly-scalable, flexible, and resilient cloud architectures that address our customers' business problems. As part of our team, you'll have the opportunity to innovate daily and define the future of cloud computing. Come join us in making the impossible, possible.
Key job responsibilities
As a Solutions Architect, you'll help your customers successfully implement cloud technologies. You'll solve complex, technical challenges so your customers can focus on their business. This includes using your knowledge to craft scalable, flexible, and resilient cloud architectures. You'll take part in technical solutions discussions, diving deep into the details with customer teams.
Building relationships to understand our customers is key. As a trusted technical advisor, you'll use your interpersonal skills to influence a variety of stakeholders from technical teams to executives. You will help ensure their short-term technology decisions are aligned with their long-term goals. Speeding up the adoption of our services will be part of your day to day. You will also engage with the AWS Partner Network to help customers select and work with the right partners who can help customers accelerate their cloud adoption.
You'll also act as an evangelist in the wider community. This includes taking part in educating, sharing best practices, presenting at events, writing white papers, blogs, and running workshops. You won't just want to be part of an industry movement; you'll want to be leading it.
As a Builder, you'll also have the chance to shape the direction of our products and services. This is through gathering feedback from customers whilst collaborating with our engineering and service teams.
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
A day in the life
Want to find out what it's like to be a Solution Architect at AWS? Watch this video ( are the Solutions Architects (SAs) team within the Cloud Sales Center (CSC), the frontline sales organization of AWS. As the technical backbone of CSC, we blend deep technical expertise with business acumen to guide customers through their cloud transformation journey. Working alongside Demand Generation Reps and Cloud Sales Reps, we provide scalable, high-velocity service through digital selling across the Asia Pacific region. Our role is to understand customer requirements precisely, propose optimal AWS solutions, and ensure architectural integrity. We act as trusted advisors, tailoring our guidance to each region's unique characteristics while adhering to AWS best practices.
About the team
About the team
This role is within the ANZ CSC team. The CSC is the one of sales organisation at AWS and is focused on new customer acquisitions across ANZ at scale. You will have the exciting opportunity to work cross-functionally and cross-geographically, as you collaborate with internal stakeholders from sales, operations, partner, and marketing teams, while being part of a dynamic and fast moving team.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
- Experience with one of the following programming languages: Python, Ruby, Node.js, C#, or C+- Experience with two or more of the following: networking fundamentals, security, storage or databases (relational or NoSQL), operating systems (Unix, Linux, or Windows)
Preferred Qualifications
- Experience implementing a cloud-based technology solution
- Experience in any of the following: Cloud Architecture, Systems Design, Software Development, Infrastructure Architecture, Data Engineering or DevOps
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Is this job a match or a miss?
Apply Now
5
Job Description
**Company Description:**
InEight provides field-tested project management software for the owners, contractors, engineers and architects who are building the world around us. Over 300,000 users and more than 750 customers worldwide rely on InEight for real-time insights that help manage risk and keep projects on schedule and under budget across the entire life cycle. From pre-planning to design, from estimating to scheduling, and from field execution to turnover, InEight has powered more than $1 trillion in projects globally across infrastructure, public sector, energy and power, oil, gas and chemical, mining, and commercial.
Based in Scottsdale, Arizona, with APAC headquarters in Melbourne, InEight supports a remote work model with employees working throughout the United States, Canada, Australia, Sri Lanka and Europe. InEight, an ISO 9001:2015-registered company, is a subsidiary of Kiewit Corporation (Kiewit). Kiewit, through its subsidiaries, is one of North America's largest and most respected construction and engineering organisations.
InEight is a fast-paced, innovative company comprised of high-energy teams of self-starters playing integral roles in shaping the future of capital projects around the world. Our industry-leading solutions, dedicated employees, and proven leadership team provide a solid foundation to support our continued growth and success.
**Position Summary:**
At InEight, we understand construction professionals face challenges on a daily basis. We build and test our construction project management software with real owners on real projects, with a goal to provide easy access to data, full visibility of the entire project life cycle, and performance that is proven on job sites.
We are seeking a highly skilled and detail-oriented Solution Engineer to join our highly accomplished Solution Engineering team. Leveraging your previous experience with Project Controls solutions within the construction and engineering industry, you will play a critical role engaging clients throughout the presales process to maximise the conversion of prospects to sales.
You will partner closely with a talented Sales team to effectively understand the client's key requirements, determine and demonstrate appropriate InEight solutions, and develop comprehensive proposals to articulate the value proposition to key stakeholders. The role will actively participate in RFPs, discovery calls and solution walkthroughs with new prospects, as well as maintain relationships with existing clients to identify expansion opportunities.
**InEight promotes a flexible working environment and is able to accommodate work-from-home arrangements. The ideal candidate will be based in a major metropolitan region to meet with clients face-to-face as required.**
**Characteristics for Success:**
+ **Learner -** Actively pursues new knowledge and skills, embracing continuous learning to stay ahead in their field. Motivated by a drive to learn and improve, and seek opportunities for personal and professional development.
+ **Curious -** Naturally curious and uses that curiosity to engage deeply with clients. Proactively seek to understand client objectives, pain points, business direction, and project delivery models, enabling them to tailor solutions that truly address client needs while building strong, consultative relationships.
+ **Solution-oriented -** Able to dissect processes and situations to determine the best solution to move forward most efficiently.
+ **Team-oriented -** Passionate about contributing as part of a high-performing team. This includes collaborating closely with Sales, Delivery and Product teams to win business, ensure successful solution implementation and help shape the platform direction.
+ **Articulate -** Strong written and verbal communication skills, with the ability to convey complex ideas clearly and persuasively. Able to convey a genuine passion for the role technology plays in transforming project delivery.
+ **Relatable -** A strong business acumen with the ability to conduct business discussions with senior-level decision makers in small and large group settings. These decision makers are typically across Project Delivery, Operations and IT.
+ **Proven -** a track record of defining solutions for the construction and/or engineering industry in a Project Controls, Scheduling, Estimating or Software Sales role.
+ **Dependable -** accountable for completing complex projects independently and understanding the level of prioritisation and communication needed to balance your workload.
**Key Responsibilities:**
+ Understand client requirements by leading discovery meetings with clients and assisting in opportunity strategy and leading the technical response to RFPs and proposals.
+ Perform web-based and in-person solution walkthroughs to demonstrate how InEight solutions meet and exceed client requirements.
+ Work closely with key internal and external decision-makers to map client requirements to InEight solution capabilities to determine the best solution for the client.
+ Execute customer pilots and proof of concepts to conduct deep dives of customer requirements and generate detailed solution mapping as required.
+ Partner with Delivery Consultants to establish effective implementation scope such as consulting, training, specification write up, client workshops and project management as required to drive the presales process and create winning proposals.
+ Build, maintain and enhance demo environment data in conjunction with product release schedules as required.
+ Serve as a company spokesperson and conduct speaking engagements at industry events in conjunction with marketing teams as required.
+ Support Account Executives with business value and solution content in proposals and executive summaries, directly linking InEight project controls capabilities to each client's program objectives and strategic priorities.
+ Collaborate with Sales, Customer Success, and Project Delivery teams to ensure effective operations across departments and achieve the best outcomes for InEight and its clients.
+ Contribute to product roadmap discussions by collecting and documenting client insights, desired project controls platform enhancements, and the measurable business value those enhancements would deliver.
+ Maintain accurate records in SalesForce.
+ Continually enhance product knowledge by attending quarterly release sessions, product enhancement presentations, and liaising with experts in the business and market as required.
**Desired Qualifications and Skills:**
+ Minimum 5+ years of experience in a Solution/Sales Engineering (or equivalent) role and/or 10+ years minimum industry experience working in Capital Projects.
+ Previous experience working in Project Controls, Scheduling, Estimating or Cost Management roles, preferably in the Construction/Engineering industry.
+ Experience in conducting software demonstrations or software training highly desired.
+ Hands-on experience with at least one enterprise project controls platform such as InEight, Oracle Primavera P6, EcoSys, or a comparable scheduling, estimating, or cost management system.
+ Strong understanding of project controls disciplines including scheduling, cost forecasting, change management, contract management, and/or risk management.
+ Professional certifications such as PMP, PMI-SP, or CAPM considered advantageous.
+ Strong verbal, presentation and written communication skills, including the ability to convey complex information and ideas clearly and concisely to individuals and groups.
+ A solution-oriented mindset with the ability to understand and dissect industry processes and situations to determine appropriate solutions.
+ A strong client focus, with the ability to build relationships to ensure the delivery of both internal and external needs.
+ Innovative, driven and excellent attention to detail.
+ Ability to handle changing environments and help others adapt to change.
+ Strong problem-solving skills and a willingness to challenge existing processes when needed.
InEight Inc. is an Equal Opportunity Employer and will consider all applications without regard to race, sex, age, colour, religion, national origin, marital status, disability or any other characteristic protected by law.
No applications from Employment Agencies at this time.
Applicants must have the legal right to live and work in Australia permanently.
\#InEight
InEight provides field-tested project management software for the owners, contractors, engineers and architects who are building the world around us. Over 300,000 users and more than 750 customers worldwide rely on InEight for real-time insights that help manage risk and keep projects on schedule and under budget across the entire life cycle. From pre-planning to design, from estimating to scheduling, and from field execution to turnover, InEight has powered more than $1 trillion in projects globally across infrastructure, public sector, energy and power, oil, gas and chemical, mining, and commercial.
Based in Scottsdale, Arizona, with APAC headquarters in Melbourne, InEight supports a remote work model with employees working throughout the United States, Canada, Australia, Sri Lanka and Europe. InEight, an ISO 9001:2015-registered company, is a subsidiary of Kiewit Corporation (Kiewit). Kiewit, through its subsidiaries, is one of North America's largest and most respected construction and engineering organisations.
InEight is a fast-paced, innovative company comprised of high-energy teams of self-starters playing integral roles in shaping the future of capital projects around the world. Our industry-leading solutions, dedicated employees, and proven leadership team provide a solid foundation to support our continued growth and success.
**Position Summary:**
At InEight, we understand construction professionals face challenges on a daily basis. We build and test our construction project management software with real owners on real projects, with a goal to provide easy access to data, full visibility of the entire project life cycle, and performance that is proven on job sites.
We are seeking a highly skilled and detail-oriented Solution Engineer to join our highly accomplished Solution Engineering team. Leveraging your previous experience with Project Controls solutions within the construction and engineering industry, you will play a critical role engaging clients throughout the presales process to maximise the conversion of prospects to sales.
You will partner closely with a talented Sales team to effectively understand the client's key requirements, determine and demonstrate appropriate InEight solutions, and develop comprehensive proposals to articulate the value proposition to key stakeholders. The role will actively participate in RFPs, discovery calls and solution walkthroughs with new prospects, as well as maintain relationships with existing clients to identify expansion opportunities.
**InEight promotes a flexible working environment and is able to accommodate work-from-home arrangements. The ideal candidate will be based in a major metropolitan region to meet with clients face-to-face as required.**
**Characteristics for Success:**
+ **Learner -** Actively pursues new knowledge and skills, embracing continuous learning to stay ahead in their field. Motivated by a drive to learn and improve, and seek opportunities for personal and professional development.
+ **Curious -** Naturally curious and uses that curiosity to engage deeply with clients. Proactively seek to understand client objectives, pain points, business direction, and project delivery models, enabling them to tailor solutions that truly address client needs while building strong, consultative relationships.
+ **Solution-oriented -** Able to dissect processes and situations to determine the best solution to move forward most efficiently.
+ **Team-oriented -** Passionate about contributing as part of a high-performing team. This includes collaborating closely with Sales, Delivery and Product teams to win business, ensure successful solution implementation and help shape the platform direction.
+ **Articulate -** Strong written and verbal communication skills, with the ability to convey complex ideas clearly and persuasively. Able to convey a genuine passion for the role technology plays in transforming project delivery.
+ **Relatable -** A strong business acumen with the ability to conduct business discussions with senior-level decision makers in small and large group settings. These decision makers are typically across Project Delivery, Operations and IT.
+ **Proven -** a track record of defining solutions for the construction and/or engineering industry in a Project Controls, Scheduling, Estimating or Software Sales role.
+ **Dependable -** accountable for completing complex projects independently and understanding the level of prioritisation and communication needed to balance your workload.
**Key Responsibilities:**
+ Understand client requirements by leading discovery meetings with clients and assisting in opportunity strategy and leading the technical response to RFPs and proposals.
+ Perform web-based and in-person solution walkthroughs to demonstrate how InEight solutions meet and exceed client requirements.
+ Work closely with key internal and external decision-makers to map client requirements to InEight solution capabilities to determine the best solution for the client.
+ Execute customer pilots and proof of concepts to conduct deep dives of customer requirements and generate detailed solution mapping as required.
+ Partner with Delivery Consultants to establish effective implementation scope such as consulting, training, specification write up, client workshops and project management as required to drive the presales process and create winning proposals.
+ Build, maintain and enhance demo environment data in conjunction with product release schedules as required.
+ Serve as a company spokesperson and conduct speaking engagements at industry events in conjunction with marketing teams as required.
+ Support Account Executives with business value and solution content in proposals and executive summaries, directly linking InEight project controls capabilities to each client's program objectives and strategic priorities.
+ Collaborate with Sales, Customer Success, and Project Delivery teams to ensure effective operations across departments and achieve the best outcomes for InEight and its clients.
+ Contribute to product roadmap discussions by collecting and documenting client insights, desired project controls platform enhancements, and the measurable business value those enhancements would deliver.
+ Maintain accurate records in SalesForce.
+ Continually enhance product knowledge by attending quarterly release sessions, product enhancement presentations, and liaising with experts in the business and market as required.
**Desired Qualifications and Skills:**
+ Minimum 5+ years of experience in a Solution/Sales Engineering (or equivalent) role and/or 10+ years minimum industry experience working in Capital Projects.
+ Previous experience working in Project Controls, Scheduling, Estimating or Cost Management roles, preferably in the Construction/Engineering industry.
+ Experience in conducting software demonstrations or software training highly desired.
+ Hands-on experience with at least one enterprise project controls platform such as InEight, Oracle Primavera P6, EcoSys, or a comparable scheduling, estimating, or cost management system.
+ Strong understanding of project controls disciplines including scheduling, cost forecasting, change management, contract management, and/or risk management.
+ Professional certifications such as PMP, PMI-SP, or CAPM considered advantageous.
+ Strong verbal, presentation and written communication skills, including the ability to convey complex information and ideas clearly and concisely to individuals and groups.
+ A solution-oriented mindset with the ability to understand and dissect industry processes and situations to determine appropriate solutions.
+ A strong client focus, with the ability to build relationships to ensure the delivery of both internal and external needs.
+ Innovative, driven and excellent attention to detail.
+ Ability to handle changing environments and help others adapt to change.
+ Strong problem-solving skills and a willingness to challenge existing processes when needed.
InEight Inc. is an Equal Opportunity Employer and will consider all applications without regard to race, sex, age, colour, religion, national origin, marital status, disability or any other characteristic protected by law.
No applications from Employment Agencies at this time.
Applicants must have the legal right to live and work in Australia permanently.
\#InEight
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6
Job Description
**Solution Specialist - Clinical eSource Platform**
**Location:** Sydney or Melbourne
**Experience Required:** 5+ years
We are seeking a **Solution Specialist** to serve as a SaaS implementation and support expert for IQVIA's Clinical eSource Platform. In this role, you will partner with early-phase CROs and Sponsors to drive successful platform adoption, delivering high-quality support, training, and implementation expertise.
This is a client-facing position ideal for someone with strong clinical trial experience, technical aptitude, and a passion for problem-solving in a fast-paced environment.
**Key Responsibilities**
+ Support the implementation and ongoing use of IQVIA's Clinical eSource Platform across early-phase studies
+ Develop deep subject matter expertise across platform capabilities (recruitment, study design, data collection, reporting)
+ Own and manage customer service desk tickets, ensuring timely resolution within SLAs
+ Partner with cross-functional teams (Engineering, Product, Sales, and Project Management) to deliver effective solutions
+ Lead client onboarding activities, including:
+ Delivering product training and instructional workshops
+ Running status meetings and tracking implementation progress
+ Gathering requirements for configuration or enhancements
+ Troubleshooting issues and proposing practical solutions/workarounds
+ Provide ongoing technical support and best practice guidance to clients
+ Participate in audits, demos, and commercial activities (e.g., RFIs) as an eSource SME
+ Contribute to documentation, testing, and validation of new product features
+ Manage multiple priorities in a dynamic, customer-facing environment
+ Travel to client sites as needed for key milestones (e.g., go-live, training)
**Required Skills & Experience**
+ Bachelor's degree in relevant field
+ 5+ years' experience in an early-phase clinical research environment
+ Hands-on experience with eSource, EDC, or eCRF systems
+ Experience using ClinSpark ideal
+ Strong technical aptitude with ability to quickly learn new platforms
+ Proven experience troubleshooting complex technical issues
+ Excellent communication skills, with the ability to explain technical concepts to non-technical users
+ Strong time management and prioritisation skills
+ Ability to work independently and take ownership of deliverables
+ Experience in a client-facing or customer support role
+ Strong collaboration skills across cross-functional teams
+ Experience configuring or designing eSource data collection systems
+ Hands-on study floor experience, including electronic data capture
+ Experience working with clinical stakeholders (physicians, nurses, coordinators, data managers)
+ Training or instructional delivery experience
**Why Join IQVIA?**
At IQVIA, you'll be part of a global leader in clinical research and healthcare technology, working on innovative SaaS solutions that advance clinical trials and improve patient outcomes.
If you are interested please apply with your resume. If you are successful you will receive an email to complete an online assessment.
Candidates who pass this assessment will be contacted direct by the IQVIA Recruiter to discuss.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide.
To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere. Thank you for your interest in growing your career with us.
EEO Minorities/Females/Protected Veterans/Disabled
**Location:** Sydney or Melbourne
**Experience Required:** 5+ years
We are seeking a **Solution Specialist** to serve as a SaaS implementation and support expert for IQVIA's Clinical eSource Platform. In this role, you will partner with early-phase CROs and Sponsors to drive successful platform adoption, delivering high-quality support, training, and implementation expertise.
This is a client-facing position ideal for someone with strong clinical trial experience, technical aptitude, and a passion for problem-solving in a fast-paced environment.
**Key Responsibilities**
+ Support the implementation and ongoing use of IQVIA's Clinical eSource Platform across early-phase studies
+ Develop deep subject matter expertise across platform capabilities (recruitment, study design, data collection, reporting)
+ Own and manage customer service desk tickets, ensuring timely resolution within SLAs
+ Partner with cross-functional teams (Engineering, Product, Sales, and Project Management) to deliver effective solutions
+ Lead client onboarding activities, including:
+ Delivering product training and instructional workshops
+ Running status meetings and tracking implementation progress
+ Gathering requirements for configuration or enhancements
+ Troubleshooting issues and proposing practical solutions/workarounds
+ Provide ongoing technical support and best practice guidance to clients
+ Participate in audits, demos, and commercial activities (e.g., RFIs) as an eSource SME
+ Contribute to documentation, testing, and validation of new product features
+ Manage multiple priorities in a dynamic, customer-facing environment
+ Travel to client sites as needed for key milestones (e.g., go-live, training)
**Required Skills & Experience**
+ Bachelor's degree in relevant field
+ 5+ years' experience in an early-phase clinical research environment
+ Hands-on experience with eSource, EDC, or eCRF systems
+ Experience using ClinSpark ideal
+ Strong technical aptitude with ability to quickly learn new platforms
+ Proven experience troubleshooting complex technical issues
+ Excellent communication skills, with the ability to explain technical concepts to non-technical users
+ Strong time management and prioritisation skills
+ Ability to work independently and take ownership of deliverables
+ Experience in a client-facing or customer support role
+ Strong collaboration skills across cross-functional teams
+ Experience configuring or designing eSource data collection systems
+ Hands-on study floor experience, including electronic data capture
+ Experience working with clinical stakeholders (physicians, nurses, coordinators, data managers)
+ Training or instructional delivery experience
**Why Join IQVIA?**
At IQVIA, you'll be part of a global leader in clinical research and healthcare technology, working on innovative SaaS solutions that advance clinical trials and improve patient outcomes.
If you are interested please apply with your resume. If you are successful you will receive an email to complete an online assessment.
Candidates who pass this assessment will be contacted direct by the IQVIA Recruiter to discuss.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide.
To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere. Thank you for your interest in growing your career with us.
EEO Minorities/Females/Protected Veterans/Disabled
Is this job a match or a miss?
Apply Now
7
Job Description
**Location:** Must be based in or within a commutable distance to Sydney, NSW
**Work Authorization for Australia:** Must be authorised to work in Australia without requiring sponsorship now or in the future.
**Meet the Team**
Join our dynamic Solution Engineering team in Sydney, Australia, and be part of a results-driven pre-sales group supporting the ANZ Splunk Scale business. Our collaborative team spans sales, customer success, support, marketing fostering innovation, empowerment, and hands-on learning. We celebrate each other's successes while delivering an exceptional experience for our customers.
**Your Impact**
As a Solutions Engineer, you will be a technical leader in driving growth and adoption of Splunk solutions with commercial customers. You will:
+ Demonstrate and evangelize Splunk products and services through onsite sessions, webinars, and field events.
+ Lead discovery calls and conversations to identify and validate opportunities, independently or with your sales counterpart.
+ Establish and maintain positive relationships with customers and partners throughout the sales cycle and beyond.
+ Conduct on-site customer engagements, including Proof of Value/Concept demonstrations.
+ Address complex technical inquiries and resolve customer concerns to ensure successful outcomes.
+ Collaborate with cross-functional teams to continuously improve working practices, processes, and customer success.
**Minimum Qualifications**
+ Proven experience in enterprise presales, ideally 5+ years, with a technical focus.
+ Ability to understand complex application environments and machine data sources (logs, security data, network data, etc.).
+ Strong ability to articulate complex technical solutions to customers and partners.
+ Experience working with cross-functional teams to deliver customer value and improve processes.
**Preferred Qualifications**
+ Hands-on knowledge of Splunk solutions and experience demonstrating their value to commercial customers.
+ Excellent communication and interpersonal skills with a collaborative mindset.
+ Working knowledge of AI concepts & practical adoption of AI capabilities
+ Familiarity with open-source technologies, search engines, and query languages.
+ Experience in security or observability solutions.
+ Scripting languages is a plus.
+ Ability to thrive in a multicultural, fast-paced environment.
+ Passion for technology, innovation, and customer success.
**Why Cisco?**
At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.
**Work Authorization for Australia:** Must be authorised to work in Australia without requiring sponsorship now or in the future.
**Meet the Team**
Join our dynamic Solution Engineering team in Sydney, Australia, and be part of a results-driven pre-sales group supporting the ANZ Splunk Scale business. Our collaborative team spans sales, customer success, support, marketing fostering innovation, empowerment, and hands-on learning. We celebrate each other's successes while delivering an exceptional experience for our customers.
**Your Impact**
As a Solutions Engineer, you will be a technical leader in driving growth and adoption of Splunk solutions with commercial customers. You will:
+ Demonstrate and evangelize Splunk products and services through onsite sessions, webinars, and field events.
+ Lead discovery calls and conversations to identify and validate opportunities, independently or with your sales counterpart.
+ Establish and maintain positive relationships with customers and partners throughout the sales cycle and beyond.
+ Conduct on-site customer engagements, including Proof of Value/Concept demonstrations.
+ Address complex technical inquiries and resolve customer concerns to ensure successful outcomes.
+ Collaborate with cross-functional teams to continuously improve working practices, processes, and customer success.
**Minimum Qualifications**
+ Proven experience in enterprise presales, ideally 5+ years, with a technical focus.
+ Ability to understand complex application environments and machine data sources (logs, security data, network data, etc.).
+ Strong ability to articulate complex technical solutions to customers and partners.
+ Experience working with cross-functional teams to deliver customer value and improve processes.
**Preferred Qualifications**
+ Hands-on knowledge of Splunk solutions and experience demonstrating their value to commercial customers.
+ Excellent communication and interpersonal skills with a collaborative mindset.
+ Working knowledge of AI concepts & practical adoption of AI capabilities
+ Familiarity with open-source technologies, search engines, and query languages.
+ Experience in security or observability solutions.
+ Scripting languages is a plus.
+ Ability to thrive in a multicultural, fast-paced environment.
+ Passion for technology, innovation, and customer success.
**Why Cisco?**
At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.
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8
Job Description
**Introduction**
At IBM Global Sales, we bring together innovation, collaboration, and expertise to help clients solve their most complex business challenges. Working across industries and geographies, you'll partner with colleagues, clients, and partners to co-create solutions that drive digital transformation and lasting impact.Success in Global Sales is built on curiosity, empathy, and collaboration. You'll connect technical understanding with strong people skills, building trusted relationships and shaping solutions that improve business and society. With world-class onboarding, continuous learning, and a supportive culture, IBM offers the tools and opportunities to grow your career. Join us and be part of a global team that's passionate about driving innovation and making a difference.
**Your role and responsibilities**
Solutions Engineers drive not only the early-stage evaluation within the Sales process, but also play a crucial role in enabling ongoing value realization for customers, all while helping them move up the adoption maturity curve. In this role, you'll partner with Account Executives to be the key technical advisor for customers. You'll be instrumental in identifying both stated and implicit business needs, and in designing technical solutions to best meet these needs.
At times, you may facilitate "art of the possible" discussions and storytelling to inspire customers to adopt new patterns with confidence, while at other times you will drive creative problem-solving to overcome complex technical challenges. Overall, this role is a key part of the Customer Success team, helping foster sustained customer success and incremental technology adoption.
What You Will Do:
* Help advance new and innovative data streaming use cases from conception to Go-Live
* Execute and lead technical Proofs of Concept (POCs)
* Conduct discovery and whiteboard sessions to develop new use cases
* Provide thought leadership by delivering technical talks and workshops
* Guide customers with hands-on support and best practices to drive operational maturity of their deployments
* Analyze customer consumption trends and identify optimization opportunities
* Work closely with Product and Engineering teams, serving as a key product advocate across the customer, partner, and industry ecosystem
* Build strong relationships with key customer stakeholders and act as a trusted partner
**Required technical and professional expertise**
* Solutions Engineering or similar experience
* Experience with event-driven architecture, data integration and processing techniques, database and data warehouse technologies
* Hands-on experience with cloud architecture, migrations, deployment, and application development
* Experience with automation, GitOps, and Kubernetes
* Proficiency in Java, Python, or SQL
* Technical certifications in Cloud Development/Architecture, Data Engineering, or Integration
* Demonstrated self-starter attitude with a strong desire to learn and solve complex technical problems
* Excellent presentation and communication skills
* Confidence presenting to a technical audience, including developers, enterprise architects, and senior leadership (C-level)
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
At IBM Global Sales, we bring together innovation, collaboration, and expertise to help clients solve their most complex business challenges. Working across industries and geographies, you'll partner with colleagues, clients, and partners to co-create solutions that drive digital transformation and lasting impact.Success in Global Sales is built on curiosity, empathy, and collaboration. You'll connect technical understanding with strong people skills, building trusted relationships and shaping solutions that improve business and society. With world-class onboarding, continuous learning, and a supportive culture, IBM offers the tools and opportunities to grow your career. Join us and be part of a global team that's passionate about driving innovation and making a difference.
**Your role and responsibilities**
Solutions Engineers drive not only the early-stage evaluation within the Sales process, but also play a crucial role in enabling ongoing value realization for customers, all while helping them move up the adoption maturity curve. In this role, you'll partner with Account Executives to be the key technical advisor for customers. You'll be instrumental in identifying both stated and implicit business needs, and in designing technical solutions to best meet these needs.
At times, you may facilitate "art of the possible" discussions and storytelling to inspire customers to adopt new patterns with confidence, while at other times you will drive creative problem-solving to overcome complex technical challenges. Overall, this role is a key part of the Customer Success team, helping foster sustained customer success and incremental technology adoption.
What You Will Do:
* Help advance new and innovative data streaming use cases from conception to Go-Live
* Execute and lead technical Proofs of Concept (POCs)
* Conduct discovery and whiteboard sessions to develop new use cases
* Provide thought leadership by delivering technical talks and workshops
* Guide customers with hands-on support and best practices to drive operational maturity of their deployments
* Analyze customer consumption trends and identify optimization opportunities
* Work closely with Product and Engineering teams, serving as a key product advocate across the customer, partner, and industry ecosystem
* Build strong relationships with key customer stakeholders and act as a trusted partner
**Required technical and professional expertise**
* Solutions Engineering or similar experience
* Experience with event-driven architecture, data integration and processing techniques, database and data warehouse technologies
* Hands-on experience with cloud architecture, migrations, deployment, and application development
* Experience with automation, GitOps, and Kubernetes
* Proficiency in Java, Python, or SQL
* Technical certifications in Cloud Development/Architecture, Data Engineering, or Integration
* Demonstrated self-starter attitude with a strong desire to learn and solve complex technical problems
* Excellent presentation and communication skills
* Confidence presenting to a technical audience, including developers, enterprise architects, and senior leadership (C-level)
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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9