DevOps Engineer

BigBear.ai • McLean, VA

2d

About The Position

The DevOps Engineer builds and maintains the platform foundation the entire system runs on, owning the event backbone, CI/CD pipelines, and the government cloud environment (GovCloud/IL5). This role ensures the platform is reliable, scalable, secure, and deployable, enabling application, data, and scoring teams to deliver capabilities quickly and safely in a regulated environment.

Requirements

• Must maintain an active TS/SCI security clearance
• Bachelor's Degree and 5 to 8 years of experience; Master's Degree and 3 to 6 years of experience
• 5+ years of DevOps / platform engineering experience delivering and operating systems in a government cloud environment.
• Strong experience with event streaming architecture and operations (Kafka or equivalent), including production support and performance tuning.
• Demonstrated experience with infrastructure as code (Terraform and/or Ansible) and disciplined configuration management.
• Hands-on experience in AWS GovCloud or Azure Government environments
• Strong Kubernetes experience (deployments, Helm or equivalent packaging, cluster operations, and troubleshooting workload).
• Experience working in compliance-driven environments (e.g., IL5, RMF-aligned controls) with a security-first operations mindset.

Nice To Haves

• Kafka (or equivalent event streaming platform)
• Terraform / Ansible (IaC and configuration management)
• AWS GovCloud or Azure Government
• Kubernetes

Responsibilities

• Build and operate the event backbone (Kafka or equivalent), including topic design guidance, reliability patterns, throughput scaling, and operational monitoring.
• Design, implement, and maintain CI/CD pipelines that support repeatable, secure builds and deployments across environments.
• Provision and manage the GovCloud/IL5 hosting environment, ensuring it meets program security and compliance expectations.
• Implement infrastructure as code (IaC) for cloud resources, cluster provisioning, network/security configuration, and environment replication.
• Deploy and operate Kubernetes platforms for application and data services, including cluster configuration, upgrades, and workload reliability.
• Establish platform observability (logging, metrics, tracing) and operational readiness (runbooks, alerting, incident response support).
• Partner with security and architecture teams to implement platform security controls (least privilege, secrets management, network segmentation, patching cadence).
• Drive reliability engineering practices: backup/restore, disaster recovery planning, performance testing support, and capacity planning.

What This Job Offers

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