Senior DevSecOps Engineer (ML Infrastructure)

Oslitandi Tech LLC Senior DevSecOps Engineer (ML Infrastructure) Washington, DC·Full time Company website Apply for Senior DevSecOps Engineer (ML Infrastructure) This is a critical infrastructure role focused on designing and implementing a secure, automated, end-to-end MLOps platform. The engineer will utilize Infrastructure as Code (Terraform, Ansible) and container orchestration (Kubernetes, Helm) to deploy model training and serving pipelines (Kubeflow/MLflow). The core responsibility is ensuring continuous security compliance and hardening to meet strict DoD standards (RMF, STIGs) for deployment across varying classification levels (IL5/IL6). About Oslitandi Tech LLC Our company works with clients to achieve their tactical and strategic goals by unifying sustainable technology solutions which reduce costs, decrease cycle times, and seamlessly manage processes throughout the enterprise.Oslitandi Tech specialty lies in integrating sustainable IT services & solutions, Management & IT Consulting, & Network/Cyber Security. Description Primary Responsibilities (Operational Duties) MLOps Pipeline Design: Conceptualize, Design, Build, and Maintain a secure, automated, end-to-end MLOps pipeline leveraging tools like Kubeflow and MLflow for continuous model training, testing, and deployment. Infrastructure as Code (IaC): Create, manage, and support Infrastructure as Code (IaC) solutions utilizing Terraform and Ansible to reliably provision and manage complex platform deployments across varying DoD classification levels (IL5/IL6) and Cloud environments (AWS GovCloud/Azure). Kubernetes Hardening & Administration: Implement, administer, and harden Kubernetes clusters (including networking, storage, and access controls) to strictly meet DoD STIGs and compliance standards (e.g., NIST 800-53, RMF ). Security Integration: Integrate continuous security scanning tools ( SAST/DAST ) and vulnerability management directly into the GitLab CI/CD workflow to ensure a DevSecOps posture and enable automated DoD Iron Bank compliance. Service Mesh Implementation: Deploy and manage service mesh technologies, such as Istio or Linkerd, to enforce mTLS, traffic management, and policy enforcement across containerized microservices. Automation: Develop, manage, and support automation solutions for infrastructure and application orchestration using scripting languages such as Python or Go . Basic Qualifications (Experience & Technical Stack) A minimum of 5+ years of experience in DevOps, Cloud/Platform Engineering, or Site Reliability Engineering (SRE). At least 3+ years of direct, hands-on experience administering and deploying applications on Kubernetes . Expert-level proficiency in defining, deploying, and managing infrastructure using Terraform . Proficiency in scripting and development skills ( Python or Go ) for automation tasks and tooling. Experience with configuring and managing CI/CD pipelines, specifically GitLab CI/CD and container registries. Working knowledge of security controls, compliance standards, and hardening practices (STIGs, RMF, NIST). The candidate shall have a Bachelor's degree in Computer Science, Engineering, or a related technical field. Must possess active DoD 8570 IAT Level II certification (Security+ or equivalent) REQUIRED . CKA (Certified Kubernetes Administrator) or AWS Certified Solutions Architect certification preferred. Must be eligible for a U.S. Government Secret / TS Clearance . #J-18808-Ljbffr Oslitanditech