Senior Python AI Full-Stack Engineer | Enterprise APIs

Capgemini; Burlington (NC); Hybrid; USD 86,000 - 127,000; Full time

Job summary

Capgemini is seeking a senior Python AI Full Stack Engineer to join our on-site team across multiple U.S. locations.

You will develop enterprise APIs and web applications using Python, Node.js, SQL and AWS, leading fellow engineers in an Agile Scrum environment. Ideal candidates have 6+ years of experience, experience with REST/SOAP web services, Docker and Kubernetes, Terraform and AWS deployment, modern CI/CD with Jenkins, and GitHub collaboration, plus strong communication and problem-solving

Qualifications

• 6+ years full stack software development experience building enterprise APIs and web applications.
• Leadership experience to guide, encourage, and motivate engineers.
• Experience with Agile Scrum development environment.
• Experience with web services - JSON, XML, REST, SOAP, etc.
• Experience with Docker, Kubernetes, Terraform, and AWS cloud deployment.
• Experience with unit testing and test automation libraries/strategies.
• Experience leveraging AI-assisted development tools to improve productivity and code quality.
• Experience building and deploying applications using CI pipelines and automated deployment tools such as Jenkins.
• Experience using source control and pull requests in GitHub.
• Strong communications and problem-solving skills.

Skills

Python

Node.js

SQL

AWS

MLOps

Leadership

Agile Scrum

Web services (REST/SOAP)

Docker

Kubernetes

Terraform

CI/CD (Jenkins)

GitHub

AI-assisted development tools

Code quality

Tools

Docker

Kubernetes

Terraform

AWS Cloud

Jenkins

GitHub

Job description

Capgemini is seeking a senior Python AI Full Stack Engineer to join our on-site team across multiple U.S. locations.

You will develop enterprise APIs and web applications using Python, Node.js, SQL and AWS, leading fellow engineers in an Agile Scrum environment. Ideal candidates have 6+ years of experience, experience with REST/SOAP web services, Docker and Kubernetes, Terraform and AWS deployment, modern CI/CD with Jenkins, and GitHub collaboration, plus strong communication and problem-solving