Platform Engineer

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.

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.

Education & Experience

Bachelors degree (or equivalent experience) in Computer Science, IT, Systems Engineering, or related field.

8+ years of platform/infrastructure engineering experience with a bachelors degree (including 2+ years in a lead role), or 6+ years with a masters degree.

Skills: Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Automation, Cloud Computing, Computer Science, Computer Skills, Continuous Deployment/Delivery, Continuous Integration, Cost Control, Data Management, Data Quality, Data Science, Docker, Electronic Medical Records, Engineering, Git, Identify Issues, Incident Management, Incident Response, Information Technology & Information Systems, Leadership, Linux Operating System, Machine Tool, Mentoring, Neo4j, Offshoring, Oil Rig/Platform, Operational Strategy, Production Control, Production Support, Python Programming/Scripting Language, Reporting Dashboards, Scripting (Scripting Languages), Software Development, System Operations, Systems Administration/Management, Systems Engineering, Telecommunications, Time Management

About Capgemini A global leader in consulting, technology services and digital transformation, Capgemini is at the forefront of innovation to address the entire breadth of clients’ opportunities in the evolving world of cloud, digital and platforms. Building on its strong 50-year heritage and deep industry-specific expertise, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. Capgemini is driven by the conviction that the business value of technology comes from and through people. It is a multicultural company of over 200,000 team members in more than 40 countries. The Group reported 2018 global revenues of EUR 13.2 billion (about $15.6 billion USD at 2018 average rate). Visit us at www.capgemini.com. People matter, results count.

Company Size: 10,000 employees or more