1 day ago
Base Salary
$100k - $130k/yr
Responsibilities
- Design and execute robust APIs and scalable data engineering pipelines using Python and distributed computing frameworks.
- Provision, scale, and optimize AWS cloud resources using Terraform.
- Create production-ready low-level designs optimized for performance and database efficiency.
- Collaborate with clients and external stakeholders to gather requirements and clarify business needs.
- Mentor junior developers, provide technical guidance, run daily standups, and conduct peer code reviews.
Requirements
- Production-level Python programming experience with advanced software design patterns.
- Hands-on experience with AWS services including S3, EC2, Lambda, RDS, and containerized deployments.
- Experience using Terraform for multi-environment infrastructure provisioning.
- Expertise in relational SQL and non-relational NoSQL databases, including schema design and query optimization.
- Experience building distributed systems and high-throughput data processing workflows.
- Strong stakeholder management, mentorship, and communication capabilities.
Benefits
- Paid time off, including 12–25 vacation days depending on employee grade, company holidays, personal days, and sick leave.
- Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
- Retirement savings plans such as 401(k) in the U.S. and RRSP in Canada.
- Life and disability insurance and employee assistance programs.
- Comprehensive benefits are available to regular, full-time employees subject to local policy and eligibility.
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.