Staff DevSecOps Engineer

Role overview Set technical direction for platform DevOps and customer deployment engineering, from internal build and release systems to operation in customer environments. This hands-on staff role combines architecture, security, reliability, and direct work with customer mission, IT, and security stakeholders, including deployments on classified or disconnected networks.

Responsibilities - Define the DevOps and deployment roadmap, prioritize improvements, and measure their effects on delivery speed, reliability, and security. - Lead customer architecture and readiness discussions, establish deployment and integration plans, and resolve technical dependencies. - Build repeatable automation for provisioning, configuration, upgrades, backups, and patching across environments. - Set patterns for identity and access integration and guide internal CI/CD, observability, alerting, and vulnerability remediation. - Lead complex incident investigations and turn findings into lasting operational improvements. - Translate authorization and security frameworks into engineering work and repeatable evidence practices.

Requirements - Active U.S. DoW or Intelligence TS/SCI clearance, a bachelor’s degree or higher in a related field, and CompTIA Security+ certification. - Six or more years in DevOps, DevSecOps, or software engineering, with technical leadership of complex initiatives. - Four or more years deploying or managing software in U.S. government classified networks, including direct customer engagement and deployment responsibility. - Strong production experience with Kubernetes, Linux, Helm, cloud infrastructure, and infrastructure as code such as Terraform. - Experience with GitOps delivery, CI/CD, secure software supply chains, vulnerability management, and production operations. - Ability to automate with Python or Bash and work with monitoring, stateful services, identity federation, and customer authorization requirements; must be eligible to work in the U.S. without sponsorship.

Nice to have Experience delivering to restricted or disconnected environments with tools such as UDS Core or Zarf, operating GPU and model-serving workloads, or working in a startup.

Benefits and work setup U.S.-remote role with travel up to 50%. Stated compensation is $182,750–$215,000 USD; benefits and professional development support are offered.