> Markdown version of [/jobs/ext/4333445-devops-engineer](https://www.wearedevelopers.com/jobs/ext/4333445-devops-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# DevOps Engineer

- **Company:** Capgemini
- **Location:** Westlake, TX, United States
- **Experience:** Expert
- **Salary:** $61,087.0 - $104,364.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Windows, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Apple Mac Systems, Bash Shell, Continuous Integration, DevOps, Github, Gradle, Groovy, Identity and Access Management, Python (Programming Language), Apache Maven, SonarQube, SQL Databases, Datadog, Data Logging, Scripting, Flask (Web Framework), Software Troubleshooting, Swift (Programming Language), Cloudformation, Fastapi, Containerization, Git Flow, Cocoapods, Npm(Software), Restful APIs, Docker, Jenkins, Artifactory
- **Published:** October 2, 2026
- **Apply:** https://www.dice.com/job-detail/eb1bfda9-4461-4d3b-a4c2-3284dbbeb7b1

## About the Role

Key Skills : Jenkins Core, AWS, Windows OS, macOS, artifactory, Groovy scripting, Python, Bash, pipeline optimization, ephemeral build agents, GitOps, npm, maven, Gradle, CocoaPods, Swift Package Manager, Docker, IAM, EC2, SonarQube, GitHub, * 7+ years of proven experience as a DevOps Engineer, demonstrating progressive growth and leadership in previous roles.

 * Deep understanding of AWS services (EC2, S3, EKS, ECS, Lambda, IAM, etc.) and extensive experience with CloudFormation.
 * Proven experience in developing and maintaining Python REST APIs using frameworks such as Flask or FastAPI.
 * Expert-level proficiency in Unix/Linux environments.
 * Mastery of scripting languages: Python (must-have), Bash (must-have), and Groovy (highly preferred).
 * Experience with SQL, demonstrating the ability to integrate diverse technologies.
 * Proven experience with a wide range of CI/CD tools like Jenkins.
 * Deep understanding of containerization technologies like Docker and Kubernetes.
 * Extensive experience with monitoring and logging tools such as Datadog.
 * Exceptional problem-solving and analytical skills, with a strong ability to troubleshoot complex technical issues.
 * Excellent communication and collaboration skills, with a proven ability to work effectively within a team and communicate technical concepts clearly.