Senior DevOps Engineer: Python & Shell Automation

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

Benefits offered by this job

Benefits package including PTO, health

401(k) retirement plan

Life and disability insurance

Job summary

Capgemini is seeking a DevOps Engineer in Philadelphia to design, implement, and maintain scalable Linux-based infrastructure and platform services. You will drive automation with Python and Shell, build and optimize CI/CD pipelines using GitHub Actions and Jenkins, and ensure observability and security across environments.

The role requires 5+ years of DevOps experience, strong Python and scripting skills, and experience with Docker and Kubernetes for multi-site deployment.

Qualifications

• Minimum 5 years of DevOps experience in Linux/Unix environments.
• Hands-on Python development and Shell scripting experience.
• Experience building CI/CD pipelines (GitHub Actions, Jenkins).
• Strong experience with Docker and Kubernetes.
• Experience with observability/monitoring tools.
• Hands-on experience designing AI-powered software solutions.

Responsibilities

• Design, implement, and maintain scalable, secure infrastructure and platform services.
• Build, manage, and optimize DevOps CI/CD pipelines using GitHub Actions, Jenkins, Docker, and Kubernetes.
• Implement DevOps best practices for monitoring and performance optimization.
• Collaborate with engineering and cross-functional teams to deliver reliable solutions.

Skills

DevOps

Python development

Shell scripting

CI/CD pipelines

GitHub Actions

Jenkins

Docker

Kubernetes

Observability

AI-powered software

Tools

Git

Job description

Capgemini is seeking a DevOps Engineer in Philadelphia to design, implement, and maintain scalable Linux-based infrastructure and platform services. You will drive automation with Python and Shell, build and optimize CI/CD pipelines using GitHub Actions and Jenkins, and ensure observability and security across environments.

The role requires 5+ years of DevOps experience, strong Python and scripting skills, and experience with Docker and Kubernetes for multi-site deployment.