Senior Data Scientist

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

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.

The base compensation range for this role in the posted location is $140,000- $180,000

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.