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ECS Tech Inc

Senior DevOps Engineer

Posted 9 hours ago
$140K - $184K per year
5-10 years experience
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AI Summary

The Senior DevOps Engineer will design, implement, and maintain CI/CD pipelines to accelerate software delivery while collaborating with cross-functional teams. They are also responsible for integrating AI/MLOps solutions and driving continuous improvement initiatives within the DevSecOps lifecycle.

Everforth ECS is seeking a Senior DevOps Engineer to work remotely.  

ECS is seeking talented professionals to join our successful and growing team in building the next-generation Continuous Diagnostics and Mitigation (CDM) Cyber data solution. The CDM Program is the Cybersecurity and Infrastructure Security Agency’s (CISA) dynamic approach to strengthening the cybersecurity of Federal networks and systems through better awareness and visibility into their security posture and cyber threats. ECS is responsible for designing, building, deploying, operating, and maintaining a complete ‘Data Services’ solution which includes the collection, normalization, visualization, and sharing of cyber data from more than 100 Federal agencies. The CDM Data Services product is an integrated suite of multiple Commercial Off the Shelf (COTS) products, software configuration packages, and custom code which work together to operate as an integrated solution tailored to meet Department of Homeland Security (DHS) requirements. 

We are seeking professionals who thrive in a dynamic, fast-paced, and highly collaborative environment where problem-solving, critical thinking, and a holistic approach to serving the mission are key.  Our program operates within the Scaled Agile Framework (SAFe). An aptitude and enthusiasm for continuous learning, improvement, and cyber security is a must!

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 

Qualifications
  • 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

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