DevSecOps Engineer (AI/ML)

Description

The company's AI Center of Excellence is hiring a DevSecOps engineer. The Center sits within a fast-moving CTO organization that is integrating and scaling AI across the company's mission, program and business operations.

You will help run and improve the Center's internal tools and infrastructure, build reusable engineering accelerators, and work with programs to bring AI into mission environments. The role suits someone who enjoys using modern DevSecOps methods to build, deploy, secure and maintain production AI systems.

You may also help shape the company's wider AI technology direction by assessing and choosing emerging technologies, informing strategic technology partnerships, and shaping the enterprise capabilities that speed AI adoption across the company.

Responsibilities

• Run, secure and improve the Center's internal development infrastructure and engineering tools.
• Create and maintain secure CI/CD pipelines, Infrastructure as Code, deployment automation and reusable infrastructure modules.
• Deploy, run and troubleshoot containerized applications on Kubernetes and Docker across cloud, on-premises and classified environments.
• Build security, identity and access management, vulnerability management and software supply chain controls into every stage of delivery.
• Set up monitoring, logging, tracing and other observability for production systems.
• Work with program engineering teams to integrate and operationalize AI capabilities in customer environments.
• Create reusable AI deployment accelerators, reference implementations, engineering patterns and technical guidance drawn from program experience.

Requirements

• Required: A bachelor's degree in a related technical field or equivalent experience, plus 5+ years of relevant engineering experience.
• Required: Solid DevSecOps experience covering CI/CD, Infrastructure as Code, automation and secure software delivery.
• Required: Hands-on experience with Kubernetes, Docker and production containerized workloads.
• Required: Experience deploying and supporting applications in AWS, Azure, hybrid or on-premises environments.
• Required: Experience with Terraform and scripting in Python or Bash.
• Required: Experience with identity, secrets management, security scanning and production observability.
• Required: Strong troubleshooting, communication, collaboration and technical documentation skills.
• Required: Clear enthusiasm for AI and a willingness to keep learning emerging technologies, including generative AI and agentic AI.
• Required: Ability to obtain a U.S. Government Top Secret security clearance.
• Desired: Candidates with advanced DevSecOps or production AI expertise may be considered for a more senior role based on experience.
• Desired: Experience designing, deploying and operating production Kubernetes environments.
• Desired: Experience designing reusable Infrastructure as Code, CI/CD frameworks or cloud deployment architectures.
• Desired: Experience hardening and packaging engineering tools or open-source technologies for production use and reuse.
• Desired: Production experience with AI, machine learning, deep learning, computer vision or generative AI systems.
• Desired: Experience with AI services and engineering technologies such as Amazon Bedrock, SageMaker, Azure AI Foundry, MLOps tooling, model serving, RAG or agentic AI.
• Desired: Experience with software supply chain security tools such as Harbor, Anchore, Black Duck, Trivy or Artifactory.
• Desired: Experience supporting DoD or Federal environments, including RMF and ATO processes.
• Desired: Active TS/SCI clearance.

Conditions

Full-time, regular position with no travel required and no minimum clearance needed to start.

The posting is expected to stay open until 12/1/2026.

Salary depends on factors such as location, Federal Government contract labor categories and wage rates, relevant experience, specific skills, education and certifications.

Because the role can be performed in more than one location, the listed range is the national average.

The proposed salary range is $82,100-$172,400.

The company offers flexibility so employees can balance quality work with their personal lives. Equal opportunity and legal notices apply as required by law.

Benefits

• Healthcare, wellness, financial, retirement, family support, continuing education and time off benefits.
• A flexible time off benefit that lets you take the time you need.
• Access to learning resources for building your career.
• Opportunities to grow professionally and contribute to the company's broader mission work.