DevOps Engineer

BigBear.ai, Inc.
McLean, VA, United States
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Microsoft Azure Cloud Computing Configuration Management Continuous Integration Data as a Services DevOps Key Management Network Segmentation Performance Tuning Role-Based Access Control Ansible
+7 more
Data Streaming Data Logging Cloud Platform System Infrastructure as Code (IaC) Kubernetes Apache Kafka Terraform

Job description

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.

What you will do

  • 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).

Requirements

  • Clearance: 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.

What we’d like you to have

Tools & Technical Environment (Preferred/Used)

  • Kafka (or equivalent event streaming platform)

  • Terraform / Ansible (IaC and configuration management)

  • AWS GovCloud or Azure Government

  • Kubernetes

Key Behavioral Competencies

  • Operational ownership: builds platforms that are supportable, observable, and resilient.

  • Automation mindset: eliminates manual steps via IaC and CI/CD discipline.

  • Cross-team enablement: designs platforms that help developers move faster with guardrails.

  • Calm problem-solving: strong troubleshooting skills under real-world constraints.

About the company

BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai’s predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.

BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.

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