Lead Python AI Full-Stack Engineer (Onsite)

Capgemini; Burlington (MA); In loco; USD 70.000 - 85.000; Tempo pieno

Vantaggi offerti da questo lavoro

Vacation 12-25 days

Medical, dental, and vision coverage

Retirement plans (401(k))

Life and disability insurance

Employee assistance programs

Other benefits as per local policy

Descrizione del lavoro

Capgemini is seeking a Python AI Full Stack developer for an onsite role across multiple U.S. locations, including Burlington, MA and surrounding states.

You will build enterprise APIs and web applications, leveraging Python, NodeJS, AWS, NLP, and ML with REST/SOAP web services, and you will participate in an Agile Scrum environment. The role requires leadership, strong problem-solving, and experience in CI/CD pipelines, Docker/Kubernetes deployments, and source control in GitHub.

Competenze

• 3+ years full stack software development including Python, SQL, NodeJS, AWS, NLP & Search ML.
• Leadership experience to guide, encourage, and motivate engineers.
• Experience in Agile Scrum development.
• Experience with web services - JSON, REST, SOAP.
• Experience deploying with Docker, Kubernetes, Terraform on AWS.
• Experience with unit testing and test automation libraries.
• Experience leveraging AI-assisted development tools to improve productivity and code quality.
• Experience building/deploying apps via CI pipelines and Jenkins.
• Experience using GitHub for collaboration.

Conoscenze

Python

NodeJS

AI

NLP

REST APIs

JSON

SOAP

AWS

SQL

Agile Scrum

Leadership

CI/CD

Jenkins

GitHub

Unit testing

Test automation

Git

Docker

Kubernetes

Terraform

Strumenti

Docker

Kubernetes

Terraform

GitHub

Descrizione del lavoro

Capgemini is seeking a Python AI Full Stack developer for an onsite role across multiple U.S. locations, including Burlington, MA and surrounding states.

You will build enterprise APIs and web applications, leveraging Python, NodeJS, AWS, NLP, and ML with REST/SOAP web services, and you will participate in an Agile Scrum environment. The role requires leadership, strong problem-solving, and experience in CI/CD pipelines, Docker/Kubernetes deployments, and source control in GitHub.