Senior DevOps Engineer
Location: Ashburn (full-time onsite)
Clearance: DoD Secret
Job Details:
Overview
We are seeking a Senior Platform & Release Engineer to help design, build, secure, and deliver Kubernetes-based platforms and release systems in complex operational environments, including offline and air-gapped deployments. This role is ideal for an engineer who thrives at the intersection of platform engineering, automation, release management, and developer enablement.
The ideal candidate combines deep Kubernetes and infrastructure expertise with strong software engineering skills and a pragmatic, security-conscious mindset. You should be comfortable building automation and tooling, supporting deployment pipelines, troubleshooting across the full stack, and improving developer/operator workflows. We are also looking for someone who embraces AI-assisted engineering workflows and uses modern tooling to accelerate productivity and operational excellence.
Responsibilities
Design, build, and maintain a Kubernetes-based platform and release systems for secure and constrained environments
Develop and maintain automation tooling, deployment workflows, and operational utilities using Python, Bash, and infrastructure-as-code approaches
Build and support release pipelines, artifact management workflows, and reproducible deployment bundles
Maintain and improve internal operator and engineering workbench tools using modern web technologies
Support Kubernetes platform operations, including cluster provisioning, upgrades, configuration management, and troubleshooting
Engineer secure deployment workflows with strong attention to credential handling, certificate management, secrets isolation, and deployment guardrails
Collaborate across engineering teams to improve platform reliability, deployment consistency, and operational efficiency
Troubleshoot complex issues spanning applications, containers, clusters, hosts, networking, storage, and artifact distribution systems
Mentor junior engineers and help establish engineering best practices across platform and release operations
Continuously improve engineering workflows through automation, AI-assisted tooling, and operational best practices
Required Qualifications
Senior-level experience in platform engineering, release engineering, or DevOps/SRE roles supporting Kubernetes-based systems
Hands-on experience operating Kubernetes in offline, air-gapped, or otherwise constrained deployment environments
Strong expertise with:
Kubernetes
Helm
RKE2
Ansible Playbooks
Jinja templating
Strong automation and tooling development experience using:
Python
Bash
Working full-stack development capability with:
TypeScript/JavaScript
React
Tailwind CSS
Strong understanding of CI/CD pipelines and artifact management workflows using:
Git
Artifactory
Container registries (including Zot or similar)
Helm charts
Signed and reproducible release bundles
Experience implementing secure engineering and deployment practices, including:
Credential and secret management
TLS certificates and CA bundle management
Deployment boundaries and operational guardrails
Strong understanding of:
Platform engineering
Release engineering
PaaS/SaaS delivery models
Operator-focused tooling and workflows
Must be eligible to obtain a DOD Security Clearance
Preferred Qualifications
Experience supporting government, defense, intelligence community (IC), or similarly regulated environments
Strong Linux systems engineering experience, particularly in:
RHEL/Rocky Linux environments
Docker/container runtimes
RKE2
Networking and storage systems
Host provisioning and preparation
Security-minded engineering approach that balances automation, maintainability, auditability, and operational constraints
Strong troubleshooting and root-cause analysis skills across:
Application layers
Kubernetes clusters
Host systems
Networking
Artifact repositories
Authentication and credential systems
Demonstrated ability to mentor engineers and clearly communicate complex platform concepts to technical and non-technical stakeholders
What Success Looks Like
Reliable, repeatable, and secure platform deployments across connected and disconnected environments
Streamlined release and artifact workflows with strong operational visibility and reproducibility
Improved developer and operator experience through automation and tooling
Faster issue resolution through strong systems-level troubleshooting
Continuous improvement of engineering practices using modern automation and AI-assisted workflows
Location: Ashburn (full-time onsite)
Clearance: DoD Secret
Job Details:
Overview
We are seeking a Senior Platform & Release Engineer to help design, build, secure, and deliver Kubernetes-based platforms and release systems in complex operational environments, including offline and air-gapped deployments. This role is ideal for an engineer who thrives at the intersection of platform engineering, automation, release management, and developer enablement.
The ideal candidate combines deep Kubernetes and infrastructure expertise with strong software engineering skills and a pragmatic, security-conscious mindset. You should be comfortable building automation and tooling, supporting deployment pipelines, troubleshooting across the full stack, and improving developer/operator workflows. We are also looking for someone who embraces AI-assisted engineering workflows and uses modern tooling to accelerate productivity and operational excellence.
Responsibilities
Design, build, and maintain a Kubernetes-based platform and release systems for secure and constrained environments
Develop and maintain automation tooling, deployment workflows, and operational utilities using Python, Bash, and infrastructure-as-code approaches
Build and support release pipelines, artifact management workflows, and reproducible deployment bundles
Maintain and improve internal operator and engineering workbench tools using modern web technologies
Support Kubernetes platform operations, including cluster provisioning, upgrades, configuration management, and troubleshooting
Engineer secure deployment workflows with strong attention to credential handling, certificate management, secrets isolation, and deployment guardrails
Collaborate across engineering teams to improve platform reliability, deployment consistency, and operational efficiency
Troubleshoot complex issues spanning applications, containers, clusters, hosts, networking, storage, and artifact distribution systems
Mentor junior engineers and help establish engineering best practices across platform and release operations
Continuously improve engineering workflows through automation, AI-assisted tooling, and operational best practices
Required Qualifications
Senior-level experience in platform engineering, release engineering, or DevOps/SRE roles supporting Kubernetes-based systems
Hands-on experience operating Kubernetes in offline, air-gapped, or otherwise constrained deployment environments
Strong expertise with:
Kubernetes
Helm
RKE2
Ansible Playbooks
Jinja templating
Strong automation and tooling development experience using:
Python
Bash
Working full-stack development capability with:
TypeScript/JavaScript
React
Tailwind CSS
Strong understanding of CI/CD pipelines and artifact management workflows using:
Git
Artifactory
Container registries (including Zot or similar)
Helm charts
Signed and reproducible release bundles
Experience implementing secure engineering and deployment practices, including:
Credential and secret management
TLS certificates and CA bundle management
Deployment boundaries and operational guardrails
Strong understanding of:
Platform engineering
Release engineering
PaaS/SaaS delivery models
Operator-focused tooling and workflows
Must be eligible to obtain a DOD Security Clearance
Preferred Qualifications
Experience supporting government, defense, intelligence community (IC), or similarly regulated environments
Strong Linux systems engineering experience, particularly in:
RHEL/Rocky Linux environments
Docker/container runtimes
RKE2
Networking and storage systems
Host provisioning and preparation
Security-minded engineering approach that balances automation, maintainability, auditability, and operational constraints
Strong troubleshooting and root-cause analysis skills across:
Application layers
Kubernetes clusters
Host systems
Networking
Artifact repositories
Authentication and credential systems
Demonstrated ability to mentor engineers and clearly communicate complex platform concepts to technical and non-technical stakeholders
What Success Looks Like
Reliable, repeatable, and secure platform deployments across connected and disconnected environments
Streamlined release and artifact workflows with strong operational visibility and reproducibility
Improved developer and operator experience through automation and tooling
Faster issue resolution through strong systems-level troubleshooting
Continuous improvement of engineering practices using modern automation and AI-assisted workflows