DevOps Engineer

BigBear.ai is a provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. The DevOps Engineer will build and maintain the platform foundation, including event infrastructure, CI/CD pipelines, government cloud environments, infrastructure as code, Kubernetes platforms, observability, security controls, and reliability practices.

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

Requirements:

• Must maintain an active Top Secret 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
• IC/DoD experience
• Kafka (or equivalent event streaming platform)
• Terraform / Ansible (IaC and configuration management)
• AWS GovCloud or Azure Government
• Kubernetes