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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** Capgemini - **Location:** St. Louis, MO, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Systems Engineering, Cloud Computing, Continuous Integration, Information Engineering, Data Systems, Linux, Graph Database, Identity and Access Management, Python (Programming Language), Neo4j, Software Construction, Software Engineering, Flask (Web Framework), Large Language Models, Apache Spark, Boto3, Amazon Virtual Private Cloud (VPC), Git, Cloudformation, Fastapi, Information Technology, Apache Kafka, Data Management, Machine Learning Operations, Cloudwatch, Restful APIs, Terraform, Data Pipelines, Docker - **Published:** September 18, 2026 - **Apply:** https://www.capgemini.com/jobs/556962-en_GB_SAPBTP/x/ ## About the Role Strong AWS expertise (EC2, S3, IAM, VPC, Glue, Athena, EMR, CloudWatch, Secrets Manager). Experience with Terraform (preferred), CloudFormation, Docker, Linux, CI/CD, and Git-based development. Strong background in production support, monitoring, incident response, and cost optimization. Proficiency in Python for automation, tooling, and application development. Knowledge of data pipelines, REST APIs, cloud SDKs (boto3), testing frameworks, and software engineering best practices. Demonstrated leadership experience with the ability to make independent technical decisions. Preferred Qualifications Experience with Spark, Kafka, Airflow, graph databases (Neptune/Neo4j), and AI/ML infrastructure. Familiarity with LLM/agent deployment, observability, and telecommunications environments. Experience developing production APIs/services using FastAPI or Flask. Relevant AWS certifications., Bachelor's degree (or equivalent experience) in Computer Science, IT, Systems Engineering, or related field. 8+ years of platform/infrastructure engineering experience with a bachelor's degree (including 2+ years in a lead role), or 6+ years with a master's degree. ## Description The Platform Engineer is a senior leadership role responsible for managing and supporting Infrastructure Intelligence and Analytics platform during offshore hours. The position oversees production operations, data pipeline reliability, infrastructure cost optimization, application development, and leadership of the offshore platform engineering team., Serve as the primary offshore owner for production support, incident management, and platform availability. Monitor and maintain data pipelines, ensuring data quality, freshness, and timely availability for AI agents and analytics systems. Independently troubleshoot and resolve infrastructure, application, and data issues with minimal escalation. Build and manage dashboards for system health, operational monitoring, and AWS/cloud cost tracking. Optimize AWS infrastructure usage, AI token consumption, storage, and compute costs. Develop automation tools, scripts, small services, and integration solutions, primarily using Python. Lead and mentor offshore engineers, establish operational standards, runbooks, and support procedures. Collaborate with onshore platform, data engineering, and data science teams to ensure seamless operations and handoffs. Contribute to infrastructure architecture and operational strategy. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Cyber Sleuth: Finding Hidden Connections in Cyber Data](https://www.wearedevelopers.com/videos/893-cyber-sleuth-finding-hidden-connections-in-cyber-data) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [The 7 Most Popular Backend Frameworks for Developers](https://www.wearedevelopers.com/magazine/403-the-7-most-popular-backend-frameworks-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)