Senior DevOps Engineer

We are seeking a Senior Dev Ops Engineer to design, build, and operate secure, scalable CI/CD and infrastructure platforms that support production AI and ML workloads. This role enables Machine Learning Engineers, MLOps Engineers, and Data Engineers by ensuring reliable deployment, monitoring, and operation of mission-critical systems.

The ideal candidate is hands‑on, comfortable owning production infrastructure, and experienced operating in security‑conscious and compliance‑driven environments.

• Design, implement, and maintain automated CI/CD pipelines supporting application, data, and ML deployments.
• Build, operate, and scale Kubernetes‑based platforms for containerized workloads.
• Manage and optimize Linux‑based production systems to ensure performance, reliability, and scalability.
• Implement infrastructure as code using tools such as Terraform or equivalent frameworks.
• Support infrastructure for data and ML platforms handling TB to PB‑scale datasets.

• Monitor system health, performance, and availability using tools such as Prometheus, Grafana, and centralized logging solutions.
• Ensure infrastructure and deployment pipelines meet 99.9 percent uptime and reliability targets.
• Partner with security and compliance teams to support alignment with standards such as NIST 800‑53 and FedRAMP.
• Troubleshoot and resolve infrastructure, deployment, and performance issues in production environments.

• Work closely with ML, MLOps, and Data Engineering teams to enable reliable model training, deployment, and scaling.
• Support development teams with platform tooling, documentation, and operational best practices.
• Contribute to operational runbooks, system documentation, and continuous improvement initiatives.

• U.S. Citizen with an active DoD, IC, or DHS clearance, or eligibility to obtain and maintain one.
• Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent professional experience.
• 5 or more years of Dev Ops engineering experience supporting production environments.
• 5 or more years of Linux system administration experience, including performance tuning and troubleshooting.
• Hands‑on experience with Kubernetes and Docker in production environments.
• Experience deploying and managing infrastructure in Azure, AWS, or GCP, with Azure experience strongly preferred.
• Proficiency with scripting languages such as Bash or Python.

• Experience supporting AI or ML workloads in production environments.
• Experience operating in federal, defense, healthcare, or other regulated environments.
• Familiarity with monitoring and logging stacks such as Prometheus, Grafana, and ELK.
• Experience with infrastructure as code tools such as Terraform.
• Hands‑on experience with bare metal provisioning or hybrid infrastructure environments.
• Kubernetes or cloud certifications such as Certified Kubernetes Administrator, AWS Certified Dev Ops Engineer Professional, or Microsoft Certified Azure Dev Ops Engineer Expert.

• Competitive salary and comprehensive health benefits.
• 401(k) with company matching.
• Clearance sponsorship for eligible candidates.
• Training and certification support for Dev Ops, Kubernetes, and cloud platforms.
• Opportunity to grow into Lead Dev Ops or Platform Engineering roles as programs expand.