Senior DevOps Engineer

Role Overview

We are seeking a Senior DevOps 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.

Key Responsibilities

DevOps and Platform Engineering

· 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.

Reliability, Monitoring, and Security

· 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 and FedRAMP.

· Troubleshoot and resolve infrastructure, deployment, and performance issues in production environments.

Collaboration and Enablement

· 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.

Required Qualifications

· 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 DevOps 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.

Preferred Qualifications

· 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 DevOps Engineer Professional, or Microsoft Certified Azure DevOps Engineer Expert.

Benefits and Growth

· Competitive salary and comprehensive health benefits.

· 401(k) with company matching.

· Clearance sponsorship for eligible candidates.

· Training and certification support for DevOps, Kubernetes, and cloud platforms.

· Opportunity to grow into Lead DevOps or Platform Engineering roles as programs expand.