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# Senior DevOps Engineer

- **Company:** BigBear.ai, Inc.
- **Location:** Washington, DC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Bash Shell, Configuration Management, Continuous Integration, DevOps, Python (Programming Language), Regression Testing, Cloud Services, Policy as Code, Scripting, Istio, Containerization, Gitlab-ci, Kubernetes, Linkerd (Service Mesh), Prisma Cloud Platform, Dynatrace, Devsecops, OpenSearch, Docker, Jenkins
- **Published:** October 31, 2026
- **Apply:** https://www.dice.com/job-detail/65bdc10b-b82e-4667-9207-c4dd91c7d883

## About the Role

* TS/SCI clearance with current CI polygraph (required).
 * Bachelor's degree + 10+ years of professional DevOps experience, or Master's degree + 8+ years of experience.
 * Minimum 3 years of documented IT change management experience (mandatory).
 * 8+ years building tooling and processes that advance DevOps/DevSecOps maturity through automation (builds, regression testing, monitoring, automated releases).
 * 8+ years diagnosing and resolving CI/CD pipeline failures, performance issues, and operational slowness.
 * Proven experience developing, managing, and securing containerized solutions (Kubernetes, Docker, or similar).
 * Experience developing enterprise cloud-native solutions in public cloud providers (AWS and/or Azure).
 * Experience mentoring or supervising team members in engineering or operations roles.
 * Strong scripting skills (Python, Bash/shell) and experience with configuration management, IaC, and pipeline tooling (Jenkins, GitLab CI/CD, or comparable)., * Deep Kubernetes platform engineering experience (operators, CRDs, Operators Framework, Helm, Kustomize).
 * Experience with service mesh (Istio/Linkerd), runtime security (Falco, Aqua, Prisma Cloud), and policy engines (OPA/Gatekeeper).
 * Familiarity with container registry hardening, image scanning, SBOMs, and supply-chain protections.
 * Experience with observability stacks (PrometheGrafana, ELK/Opensearch) and distributed tracing.
 * Prior experience delivering platforms in constrained/secure environments (SCIF or classified deployments).
 * Experience with cloud native CI/CD patterns (GitOps, ArgoCD) and advanced automation across stacks.
 * IT program management experience, strong oral and written communication skills.

## Description

Join BigBear.ai to design, operate, and secure container platforms that directly enable Defense Intelligence Agency (DIA) mission outcomes. You'll lead the engineering and operational work to provide a resilient, compliant, and scalable container environment advancing how analysts and developers deliver capabilities in a secure, cloud-enabled world.

What you will do

 * Lead design, build, and operation of container platforms (Kubernetes, container runtimes, orchestration tooling) that meet security and operational requirements for classified environments.
 * Drive DevOps/DevSecOps maturity: automate builds, testing, deployments, observability, and release processes across multiple environments.
 * Lead CI/CD pipeline development and troubleshooting-identify root causes, remove bottlenecks, and improve pipeline reliability and speed.
 * Implement and enforce secure configuration, policy-as-code, and runtime security controls for container workloads.
 * Advise architecture and platform strategy-recommend technology choices, capacity planning, and operational procedures that leverage cloud capabilities (AWS/Azure) while satisfying DIAs security constraints.
 * Own IT change-management processes and ensure changes are auditable, tested, and follow governance requirements.
 * Mentor engineers, establish runbooks/playbooks, and lead incident response and postmortems to minimize production impact.
 * Collaborate with cross-functional teams (platform, network, security, SRE, and application owners) to integrate containerized applications safely into the enterprise landscape.