Everforth ECS is seeking a
Senior DevOps Engineer to work
remotely.
The Senior DevOps Engineer is responsible for accelerating the path from development to operations. The successful candidate will work in close collaboration with developers, testers, infrastructure engineers, site reliability engineers (SREs), and other stakeholders to design, plan, coordinate, and automate the release process for software products. This will include designing, implementing, and maintaining continuous integration and continuous deployment (CI/CD) pipelines to ensure efficient, reliable, and repeatable software delivery. The ideal candidate will have hands-on experience with CI/CD tools, as well as a strong background in version control, automation, scripting, and cloud infrastructure.
The Senior DevOps Engineer role requires a focus on continuous improvement, identifying areas for improvement, and driving initiatives to increase release process efficiency and reliability. Responsibilities also include creating and maintaining detailed documentation and providing thought leadership to team members on DevSecOps best practices.
Salary Range: $140,000 - $184,000
General Description of Benefits
- Must be a US Citizen and able to acquire DHS Public Trust Suitability
- 6+ years of experience as a Release Engineer, CI/CD Engineer, or DevOps Engineer
- 6+ years of demonstrated experience designing, building, and maintaining CI/CD pipelines, to include the integration of automated testing and security scanning
- 6+ years of hands-on experience with CI/CD tools (e.g., Jenkins, CircleCI, GitLab, GitHub Actions, Argo, Travis CI, etc.)
- 4+ years of relevant experience using cloud platforms (AWS, Azure, Google Cloud)
- 4+ years of hands-on programming or scripting (e.g., Python, Bash, etc.)
- 2+ years of experiences in AI and MLOPS integrations in DevSecOps and agentic AI
- Demonstrated use of version control and branching strategies to successfully manage pipelines
- Experience logging, monitoring, and troubleshooting pipelines to ensure availability and reliability
- Strong knowledge of containerization and orchestration tools (Docker, Kubernetes)
- Proven ability to collaborate with cross-functional teams (development, testing, product, and operations) to ensure seamless release management
- Strong problem-solving and analytical skills
- Proactive, detail-oriented approach to identifying inefficiencies and implementing improvements
- Experience using version control and branching strategies to manage pipeline source configurations
- Integrate MLOps, AI and Agentic AI solutions into the DevSecOps and software delivery lifecycle
- Deploy and manage AI/ML workloads on Kubernetes including scalable, secure, and automated platform
