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$148k–$267k/yr
Full-time
bachelor degree, postgraduate degree
Medical, Dental, Vision, Paid time off, 401(k), Life insurance
Posted 10d ago
~40 hrs/week
Responsibilities
The engineer will design and maintain robust infrastructure for enterprise AI applications in cloud and air-gapped environments. They will also architect CI/CD pipelines and implement control-plane guardrails to ensure secure and scalable AI model deployment.
Requirements
Candidates must possess a B.S. with 10 years of experience or an M.S. with 8 years of experience in a technical field. An active TS/SCI clearance with Polygraph is strictly required for this role.
Full job description
In a world of possibilities, pursue one with endless opportunities. Imagine Next!
At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what’s possible.
Job Description:
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?
If so, then apply today and be part of a team that supports the United States Cyber Command (USCC). Our team is standing up USCYBERCOM’s AI Enterprise capability — the central hub that mission teams turn to when they want to move an AI solution from prototype to a secure, governed, enterprise-scale service. As a Senior Platform / DevOps Engineer on this team, you will build and run the infrastructure, pipelines, and control-plane guardrails that let the command adopt AI safely and at scale, with significant, visible impact on the mission of the USCC.
What You'll Be Doing:
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.
Collaborate with AI/ML engineers and data scientists to streamline deployment processes and optimize resource utilization.
Oversee system performance, security, and scalability of AI infrastructure, and support security accreditation (RMF/ATO) of AI systems.
Continuously research and implement new DevOps tools and practices to enhance efficiency.
Minimum 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
Desired Qualifications:
Familiarity with cloud platforms (AWS, Microsoft Azure) for infrastructure deployment and management
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
Experience with infrastructure as code (IaC) tools (e.g., Terraform, Ansible)
Understanding of machine learning concepts and their implications for infrastructure; continuous learning mindset to stay abreast of cutting-edge DevOps and AI advancements
Security Clearance Requirement:
An active Top Secret SCI w/Polygraph security clearance is required for this position. This position is part of our Federal Solutions team.The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what’s next to deliver the solutions our customers need now.Salary Range: $148,300.00 - $266,900.00We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.We truly invest and care about our employee’s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest—APPLY TODAY!
Founded in 1944, Parsons Corporation, a digitally enabled solutions provider, is focused on creating the future of the defense, intelligence, and critical infrastructure markets. From Earth to outer space, we deliver tomorrow’s solutions today. Equipped with the capabilities required to take on any defense, intelligence, or critical infrastructure challenge, our agile, innovative, and disruptive approach enables us to deliver solutions at the speed of relevance.
Our people are our greatest asset. We strive to be an employer of choice that engages employees in the community and creates rewarding career paths to cultivate a resilient workforce that is ready for the future. #WeAreParsons
Disclaimer: Parsons is aware of recruitment scams where individuals posing as Parsons representatives offer fraudulent job opportunities to steal personal information or solicit money. To avoid these scams, remember that Parsons will never ask for money or sensitive personal details, and all legitimate job openings are listed on https://jobs.parsons.com/; report any suspicious activity to local law enforcement or [email protected].
Offices: 14291 Park Meadow Dr, Chantilly, Virginia 20151, US · 5875 Trinity Pkwy, #300, Centreville, Virginia 20120, US · 10 South Riverside, Suite 400, Chicago, IL 60606, US · 100 M Street SE, Suite 1200, Washington, DC 20003, US · 1422 South Tryon Street, Suite 700, Charlotte, NC 28203, US
EngineeringConstructionDesignProgram ManagementInfrastructureEnvironmentDefenseSecuritySustainabilityIntelligence and Cyber Security
Based on 370 listings with disclosed salaries, most engineering jobs in Columbia, MD pay between $70k–$224k per year. Individual offers vary with seniority, company size, and specialization.
How many Engineering jobs are open in Columbia, MD right now?
There are currently 523 open engineering positions in Columbia, MD listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Engineering roles in Columbia, MD?
Companies currently hiring include BigBear.ai, Leidos, CACI International Inc, Mission Technologies, a division of HII, Parsons Corporation, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Engineering jobs in Columbia, MD?
Yes — 135 of the 523 open engineering positions offer remote or hybrid work (17 remote, 118 hybrid).
How do I apply for Engineering jobs in Columbia, MD?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.