Hiring: Senior Platform DevOps Engineer - TS/SCI w/ Poly Company: Parsons Corporation Location: Baltimore, MD Job Posted Time: 2026-09-16 23:51:48 Target Skills & Keywords : AWS, Ansible, Azure, CI/CD, Docker, ELK Stack, Embedded Systems, Grafana, IaC, Infrastructure as Code, Kubernetes, Machine Learning, Prometheus, Security Clearance, Segment, Terraform About the job Experience: •10 years of experience, or M.S. in a relevant technical field with 8 years of experience Required Skills: •Ready for a challenge that puts you at the center of AI innovation for cyber operations? Are you an experienced DevOps/platform engineer who thrives in a fast-paced environment, enjoys owning infrastructure end to end, and wants to help shape how AI is deployed and delivered across a national mission? •Provide embedded operations support, capability integration, and rapid prototyping for AI-enabled tools in support of our customer. •Design, implement, and maintain robust infrastructure for enterprise AI applications in cloud environments (AWS, Microsoft Azure) and on-prem/air-gapped/classified environments. •Develop and optimize engineering workflows and processes to support AI model and agent development, deployment, and maintenance. •Architect and manage CI/CD pipelines for continuous integration and continuous delivery of AI models, agents, and applications. •Implement and manage containerization and orchestration solutions using Docker and Kubernetes, and build and maintain control-plane guardrails — identity, policy enforcement, approvals, audit/logging, and observability. •Ensure efficient AI model and agent lifecycle management, including versioning, monitoring, and scaling. •Partner cross-functionally with AI/ML engineers and data scientists to streamline deployment processes and optimize resource utilization. Qualifications: •B.S. in a relevant technical field with 10 years of experience, or M.S. in a relevant technical field with 8 years of experience •Active TS/SCI clearance w/ Poly •Advanced proficiency in DevOps principles and practices •Demonstrated expertise in containerization using Docker and Kubernetes •Proven experience in architecting and managing CI/CD pipelines •Extensive experience with AI model lifecycle management and maintenance •Operational familiarity with cloud platforms (AWS, Microsoft Azure) for infrastructure deployment and management •Operational familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack) •Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams •Understanding of machine learning concepts and their implications for infrastructure; continuous learning mindset to stay abreast of cutting-edge DevOps and AI advancements Compensation: •$148,300 - $266,900 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!