DevOps Engineer with Python/Shell Scripting - Capgemini

OpenTalent; Philadelphia (Philadelphia County); On-site; USD 120,000 - 180,000; Full time

Job summary

OpenTalent is seeking a DevOps Engineer in Philadelphia, PA for an on-site 1-year contract. The role focuses on designing and maintaining scalable infrastructure, implementing CI/CD pipelines, and advancing automation with Python and Shell scripting.

You will work with GitHub Actions, Jenkins, Docker, and Kubernetes to improve delivery, reliability, and observability across Linux/Unix environments, supporting AI-powered solution development.

Qualifications

• Minimum 5 years of DevOps experience with hands-on Python development and Linux/Unix.
• Proven ability to design and implement CI/CD pipelines with GitHub Actions or Jenkins.
• Experience with containers, Docker, Kubernetes, and multi-site deployments.
• Strong English communication and collaboration across teams.
• Familiarity with observability, monitoring, and performance tuning.

Responsibilities

• Design, implement, and maintain scalable, secure infrastructure and platform services.
• Develop CI/CD pipelines and automation to streamline software delivery.
• Lead automation initiatives using Python and Shell scripting.
• Collaborate with engineering to ensure reliability and high availability.
• Support AI-powered solution development and production readiness.

Skills

DevOps

Python development

Shell scripting

CI/CD

Linux/Unix

Docker

Kubernetes

GitHub Actions

Observability

AI-powered solutions

Tools

GitHub Actions

Jenkins

Docker

Kubernetes

Git

Job description

Philadelphia, PA, United States (On-site)

Contract (1 year 1 day)

Published 5 hours ago

DevOps engineering

jenkins

Docker & Kubernetes

CI/CD

Cloud & Infrastructure

Linux/Unix

Python

shell scripting

Role and responsibilities:

he DevOps Engineer is responsible for designing, implementing, and maintaining scalable, secure, and highly available infrastructure and platform services across Linux-based environments.

This role combines DevOps best practices with hands-on expertise in Python and Shell scripting, infrastructure automation, CI/CD pipeline development, container orchestration, observability, and monitoring.

The engineer will work closely with development and operations teams to streamline software delivery, enhance system reliability, and optimize deployment processes using tools such as GitHub Actions, Jenkins, Docker, and Kubernetes.

Additionally, this role contributes to the development of AI-powered solutions and ensures production environments are performant, resilient, and aligned with operational excellence standards.

Your Role:

Drive DevOps automation initiatives by designing, developing, and maintaining solutions using Python and Shell scripting to improve operational efficiency and reliability.

Build, manage, and optimize DevOps CI/CD pipelines using GitHub Actions, Jenkins, Git, Docker, and Kubernetes to enable seamless software delivery and deployment.

Implement DevOps best practices for monitoring, observability, troubleshooting, and performance optimization across Linux/Unix-based environments.

Collaborate with engineering and cross-functional teams to deliver scalable, highly available DevOps and AI-powered solutions, ensuring system stability, security, and operational excellence.

Your skills and experience:

Minimum 5 years of DevOps experience, including hands-on Python development and Shell scripting in Linux/Unix environments.

Experience building CI/CD pipelines using: GitHub Actions / Jenkins or similar.

Strong hands-on experience with Python Development (not limited to test automation) Shell scripting (Bash), Git and GitHub and Linux environments.

Experience with container technologies such as Docker and Kubernetes.

Experience in Observability & Monitoring tools

Hands-on experience designing and implementing AI-powered software solutions.

Operating in a Linux/Unix environment, including basic system configuration and scripting.

Designing and building systems for highly available multi-site deployment environments, a solid understanding of the network architectures that support such systems, and familiarity with techniques for tuning application performance.

Strong English communications skills, with the ability to clearly, concisely, and accurately describe advanced technical concepts to diverse audiences.