Senior Full Stack Engineer

CGI•Reston, VA

23h•Hybrid

About The Position

CGI has an immediate need for a Senior Full Stack Engineer to join our team. This is an exciting opportunity to work in a fast-paced team environment supporting one of the largest customers. We take an innovative approach to supporting our client, working side-by-side in an agile environment using emerging technologies. We partner with 15 of the top 20 banks globally, and our top 10 banking clients have worked with us for an average of 26 years!. This role is located at a client site in Reston, VA. A hybrid working model is acceptable. We're looking for a Senior Full Stack Engineer to help design, build, and scale modern cloud-native applications. This role spans both backend and frontend development, with a strong emphasis on Python-based services, API design, and distributed systems running on AWS. You'll play a key role in delivering production-ready solutions, contributing to architectural decisions, and ensuring systems are scalable, reliable, and performant. The position involves close collaboration with cross-functional teams, working in an agile environment to bring high-quality software from concept to deployment. This role is ideal for someone who enjoys solving complex engineering challenges, has a passion for clean and maintainable code, and is comfortable integrating emerging technologies like AI/LLM capabilities into real-world applications.

Requirements

7+ years of hands-on experience building and deploying production-grade applications
Deep experience with AWS services (Lambda, ECS, EC2, RDS, S3, API Gateway, etc.)
Solid Python skills, with experience in frameworks like FastAPI or Flask
Comfortable working across the stack, including modern frontend frameworks such as React, Angular, or Vue
Experience designing and building RESTful APIs and working with microservices architectures
Familiarity with distributed systems and the challenges of scaling them
Practical experience with both SQL and NoSQL databases (e.g., PostgreSQL, DynamoDB)
Experience with containerization (Docker) and orchestration tools like Kubernetes
Working knowledge of CI/CD pipelines and version control systems such as Git (GitLab preferred)
Exposure to infrastructure as code tools like Terraform
Understanding of software design principles, data structures, and algorithmic thinking
Experience with automated testing (unit and integration) and maintaining code quality
Ability to design systems with performance, scalability, and reliability in mind
Experience handling large datasets (JSON, XML, Parquet, etc.)
Strong problem-solving skills and the ability to collaborate effectively in agile teams