Senior DevOps Engineer

Bigbear.ai • Washington, DC

4d

About The Position

Join BigBear.ai to design, operate, and secure container platforms that directly enable Defense Intelligence Agency (DIA) mission outcomes. The role leads engineering and operational work to provide a resilient, compliant, and scalable container environment that advances how analysts and developers deliver capabilities in a secure, cloud-enabled world. Applicants must currently reside in the United States.

Requirements

• Current TS/SCI clearance with CI polygraph.
• Bachelor’s degree and 10+ years of professional DevOps experience, or a Master’s degree and 8+ years of experience.
• At least 3 years of documented IT change-management experience.
• 8+ years building tooling and processes that advance DevOps/DevSecOps maturity through automation, including builds, regression testing, monitoring, and automated releases.
• 8+ years diagnosing and resolving CI/CD pipeline failures, performance issues, and operational slowness.
• Proven experience developing, managing, and securing containerized solutions such as Kubernetes or Docker.
• Experience developing enterprise cloud-native solutions using AWS and/or Azure.
• Experience mentoring or supervising team members in engineering or operations roles.
• Strong Python and Bash/shell scripting skills, and experience with configuration management, infrastructure as code, and pipeline tooling such as Jenkins or GitLab CI/CD.
• Must currently reside in the United States.

Nice To Haves

• Deep Kubernetes platform engineering experience, including operators, CRDs, Operators Framework, Helm, and Kustomize.
• Experience with service mesh technologies such as Istio or Linkerd, runtime security tools such as Falco, Aqua, or Prisma Cloud, and policy engines such as OPA/Gatekeeper.
• Familiarity with container registry hardening, image scanning, SBOMs, and supply-chain protections.
• Experience with observability stacks such as Prometheus/Grafana and ELK/Opensearch, and distributed tracing.
• Prior experience delivering platforms in constrained or secure environments, including SCIF or classified deployments.
• Experience with cloud-native CI/CD patterns such as GitOps and ArgoCD, and advanced automation across stacks.
• IT program management experience and strong oral and written communication skills.

Responsibilities

• Lead the design, build, and operation of container platforms, including Kubernetes, container runtimes, and orchestration tooling, for classified environments.
• Advance DevOps/DevSecOps maturity by automating builds, testing, deployments, observability, and release processes across multiple environments.
• Lead CI/CD pipeline development and troubleshooting, identify root causes, remove bottlenecks, and improve reliability and speed.
• Implement and enforce secure configuration, policy-as-code, and runtime security controls for container workloads.
• Advise on architecture and platform strategy, including technology choices, capacity planning, and operational procedures that use cloud capabilities while meeting DIA security constraints.
• Own IT change-management processes and ensure changes are auditable, tested, and compliant with governance requirements.
• Mentor engineers, establish runbooks and playbooks, and lead incident response and postmortems to minimize production impact.
• Collaborate with platform, network, security, SRE, and application teams to integrate containerized applications safely into the enterprise environment.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior