BigBear.ai, Inc.

DevOps Engineer

BigBear.ai, Inc.$110K — $130K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Active TS/SCI security clearance required
  • Bachelor's Degree with 5-8 years of experience or Master's Degree with 3-6 years
  • 5+ years of DevOps experience in government cloud environments
  • Strong experience with event streaming architecture (Kafka)
  • Hands-on experience in AWS GovCloud or Azure Government environments
  • Proficiency in infrastructure as code (Terraform/Ansible)
  • Strong Kubernetes knowledge for deployments and operations.

Responsibilities

  • Build and operate the event backbone including Kafka or equivalent
  • Design and maintain CI/CD pipelines for secure, repeatable deployments
  • Provision and manage a compliant GovCloud/IL5 hosting environment
  • Implement infrastructure as code for various cloud resources
  • Deploy and operate Kubernetes platforms for various services
  • Establish platform observability and operational readiness
  • Partner with security teams to implement necessary security controls
  • Drive reliability engineering practices like disaster recovery and capacity planning.

Benefits

  • Comprehensive health insurance options
  • Retirement savings plans
  • Professional development opportunities
  • Flexible work arrangements
  • Generous paid time off policies.
Full Job Description
Residency

All applicants must currently reside in the United States

Overview

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).
  • Drive reliability engineering practices: backup/restore, disaster recovery planning, performance testing support, and capacity planning.

What you need to have

  • 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.

Pay transparency

Please note the targeted compensation range is provided as an estimate, and any actual compensation offer may vary depending on the needs of the company, or an applicant's skillset, competencies, experience, education, certifications, location, or other factors. The estimated range does not include the value of any benefits offered.

About BigBear.ai, Inc.

BigBear.ai is a leading provider of artificial intelligence and machine learning solutions that enable businesses to make better decisions by automating and augmenting their data analysis capabilities. The company's platform leverages advanced algorithms and data analytics tools to help organizations extract insights from large and complex data sets, and to develop predictive models that can be used to optimize business processes and improve operational efficiency. BigBear.ai's solutions are used by a wide range of industries, including defense, intelligence, finance, healthcare, and energy.
Learn more about BigBear.ai, Inc.
Size
200 employees
Market Cap
$90.6 million
Industry

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