DevOps Engineer – CI/CD, Kubernetes & AI‑Powered Solutions

Capgemini Engineering; Philadelphia (Philadelphia County); On-site; USD 54,000 - 122,000; Full time

Benefits offered by this job

Paid time off

Health insurance

Retirement plan (401k)

Employee assistance program

Job summary

Capgemini Engineering, a global leader in engineering services, seeks a DevOps Engineer to design, implement, and maintain scalable Linux-based infrastructure and platform services. You will apply Python and Shell scripting, automation, CI/CD, and container orchestration to deliver reliable software and AI-powered solutions.

You will build and optimize pipelines with GitHub Actions, Jenkins, Docker, and Kubernetes; implement observability, monitoring, and high availability across multi-site

Qualifications

• 5+ years of DevOps experience in Linux/Unix environments.
• Hands-on Python development and Shell scripting.
• Experience building CI/CD pipelines with GitHub Actions or Jenkins.
• Proficient with Docker and Kubernetes, observability tools.

Responsibilities

• Drive DevOps automation by designing and maintaining Python/Shell-based solutions.
• Build, manage, and optimize CI/CD pipelines using GitHub Actions, Jenkins, Docker and Kubernetes.
• Implement monitoring, observability, and performance tuning for Linux environments.
• Collaborate with cross-functional teams to deliver scalable, high-availability solutions including AI-powered software.

Skills

DevOps

Python

Shell scripting

Linux/Unix

CI/CD pipelines

GitHub Actions

Jenkins

Docker

Kubernetes

Observability

AI-powered software

English communication

Tools

Docker

Kubernetes

Git

GitHub

Linux

Job description

Capgemini Engineering, a global leader in engineering services, seeks a DevOps Engineer to design, implement, and maintain scalable Linux-based infrastructure and platform services. You will apply Python and Shell scripting, automation, CI/CD, and container orchestration to deliver reliable software and AI-powered solutions.

You will build and optimize pipelines with GitHub Actions, Jenkins, Docker, and Kubernetes; implement observability, monitoring, and high availability across multi-site