About Bridge Defense.
Bridge Defense is redefining how modern defense technology is delivered. Based in Washington, D.C., we are built for the dynamic mission environment facing the Department of Defense, the Intelligence Community, and federal law enforcement agencies. We provide full-spectrum national security solutions that combine secure infrastructure, cleared talent, and mission-ready software to meet evolving defense challenges. Our services include secure software development in classified environments and the design and implementation of advanced IT and cybersecurity capabilities ranging from secure cloud architectures and enterprise infrastructure to data center operations, scientific analysis, and cutting‑edge cyber defense.
We are led by technologists and veterans with firsthand mission experience, which enables us to understand both the operational realities and the innovation needed to succeed. Our approach is agile and outcome‑based, delivering results in weeks rather than months whenever possible.
At Bridge Defense we value people, integrity, and excellence. We foster an environment where innovation thrives in support of traditional mission requirements. Our team members receive competitive compensation, robust benefits, professional development and certification opportunities, and clear paths for growth while working on the nation’s most critical projects.
Core Values :
- Innovation & Responsiveness : We push beyond legacy models with efficient, tech‑led solutions built to scale and evolve.
- Trusted Performance : Security, compliance, and deep experience in delivering to demanding environments guides all we do.
- Mission Focused Expertise : From veteran leadership to cleared engineers, our people understand both the technology and the mission.
About the Role
As the Lead Site Reliability Engineer for our ComputeBridge Engagement, you’ll be responsible for the reliability, scalability, and performance of one of the largest hardware and AI infrastructure efforts in the U.S. defense sector. You will lead the deployment, management, and automation of a high‑performance computing mesh across multiple secure environments, ensuring operational excellence and mission continuity for a 9‑figure government program.
This is a hands‑on engineering leadership role that bridges physical infrastructure and modern DevOps automation, ideal for someone who thrives at the intersection of hardware systems, distributed computing, and AI / ML workflows.
What You’ll Do
Lead infrastructure design, deployment, and operations for ComputeBridge hardware clusters across secure and distributed environmentsInstall and configure physical systems, including high‑density GPU servers, networking gear, and storage arraysBuild and deploy secure Linux images and containerized workloads using OpenShift and other orchestration platformsDevelop and manage automation pipelines for provisioning, configuration management, and monitoring using modern DevOps toolchains (Ansible, Terraform, etc.)Operate and maintain distributed networking meshes across multiple classified and unclassified domainsImplement and manage out‑of‑band management tools (IMPI, iDRAC, BMC, etc.) for remote troubleshooting and controlIntegrate and optimize NVIDIA GPU infrastructure for AI / ML training and inference workloadsCollaborate with mission engineers, software teams, and government operators to ensure system readiness and performanceProvide on‑site technical leadership for deployments, troubleshooting, and continuous improvement
Mentor junior engineers and establish operational best practices across the ComputeBridge program as the contract growsWhat You’ll Bring
3+ years of experience in site reliability, systems engineering, or hardware operations rolesDeep expertise with physical infrastructure : server racking, cabling, diagnostics, and troubleshootingStrong experience with Linux systems administration, imaging, and automated deploymentHands‑on experience managing large‑scale clusters or distributed systems in OpenShift or Kubernetes environmentsFamiliarity with DevOps automation (Ansible, Terraform, CI / CD pipelines)Experience configuring and managing networking and mesh architectures
Direct experience with NVIDIA GPUs, CUDA, and related AI / ML frameworksProficiency with out‑of‑band management and IMPI / iDRAC toolingCertifications : Linux+ and Security+ (required or in‑progress)Excellent communication, documentation, and problem‑solving skillsClearance : Active TS / SCI required or ability to obtainBonus Points For
Experience operating in secure DoD or intelligence environmentsFamiliarity with Palantir platforms or other government data systemsPrior experience supporting AI / ML infrastructure in production or tactical settingsExperience with performance tuning and monitoring of HPC or GPU‑accelerated clustersGeneral Factors :
Depending on project requirements, may be required to work within a compressed schedule; overtime should be expected when schedules demand it.Willing to travel, if needed.No Relocation.Why Bridge Defense
Shape how advanced computing supports national security missions at scaleLead engineering for a major government program with direct mission impactCompetitive compensation, benefits, and growth opportunities in a mission‑driven environmentBridge Defense is committed to building a collaborative and mission‑focused team. Bridge Defense reserves the right to modify job duties or requirements at any time. Employment with Bridge Defense is at‑will. Candidates must be eligible to work in the United States and complete any required background checks or security clearance processes as a condition of employment.
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