Job Requirements
Dayton, OH
Top Secret/SCI Polygraph Unspecified
Career Level not specified
Salary not specified
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Job Description
What Impact You'll Have:
Join GRVTY's mission-focused team as a DevSecOps Engineer, where you'll have the opportunity to enable secure, automated, and scalable deployment of advanced data analytics tools. You'll help bridge the gap between development and operations - ensuring that AI/ML and analytic software runs reliably and securely in mission environments.
What You'll Be Owning:
What You Must Have:
What Would Be Nice to Have:
This posting is for a position that is part of a proposal or future opportunity. While this role is not currently funded, we anticipate openings in the near future. Our recruiting team will contact qualified candidates as positions become available.
Join GRVTY's mission-focused team as a DevSecOps Engineer, where you'll have the opportunity to enable secure, automated, and scalable deployment of advanced data analytics tools. You'll help bridge the gap between development and operations - ensuring that AI/ML and analytic software runs reliably and securely in mission environments.
What You'll Be Owning:
- Design, deploy, and maintain containerized environments for analytic software (Docker, Kubernetes).
- Implement CI/CD pipelines to automate build, test, and deployment processes.
- Integrate cybersecurity best practices into all development activities.
- Collaborate with engineers and analysts to optimize system performance and uptime.
- Support data ingestion, workflow automation, and system monitoring.
What You Must Have:
- You must have a TS/SCI Security Clearance with the ability to obtain a CI/Poly
- Bachelor's degree in Computer Engineering, Information Systems, or related field.
- Experience with DevOps tools (GitLab CI, Jenkins, Ansible, Terraform, etc.).
- Strong knowledge of Linux systems administration and network security fundamentals.
- Familiarity with Python scripting and automation.
What Would Be Nice to Have:
- Experience with DoD cybersecurity frameworks (RMF, STIG, or NIST 800-53).
- Understanding of cloud-native architectures or hybrid deployments.
- Background in AI/ML infrastructure support or data pipeline optimization.
This posting is for a position that is part of a proposal or future opportunity. While this role is not currently funded, we anticipate openings in the near future. Our recruiting team will contact qualified candidates as positions become available.
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