DevOps Engineer with Python/Shell Scripting

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries.

About the role

The 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.

Responsibilities

• 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.

Requirements

• 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.

Pay

The base compensation range for this role in Philadelphia, PA is $53,580 - $122,400/year. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The actual compensation offered may fall outside of the posted range and will be determined based on factors such as geographic location, education, qualifications, certifications, relevant experience, skills, seniority, performance, market considerations, and internal pay equity. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions.

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation (12-25 days, depending on grade), Company paid holidays, Personal Days, Sick Leave.
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada).
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada).
• Life and disability insurance.
• Employee assistance programs.
• Other benefits as provided by local policy and eligibility.