About the role
What will you do at ECS Tech Inc?
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 [https://ecstech.com/careers/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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