DevOps Engineer
BigBear.ai2 years ago
USA (city not specified)Entry Level
Responsibilities
- Develop, maintain, and document Python-based automation scripts for QA, development, and operations teams.
- Assist with GitLab and GitHub CI/CD pipeline operations, including build automation, testing, and deployment workflows.
- Support Docker containerization, Kubernetes-based application environments, version control branches, merge processes, and repository structure.
- Support SQL-based data handling, structured data preparation, Databricks and AWS workflows, and pipeline validation.
- Contribute to functional testing, regression testing, defect logging, and QA activities.
- Optimize JIRA workflows, dashboards, ticket structures, and sprint boards.
- Support NIPR-based development and operations work and prepare artifacts for eventual SIPR migration.
- Collaborate with developers, QA analysts, product owners, and operations engineers on backlog refinement, user stories, acceptance criteria, and sprint execution.
- Document technical processes, results, and improvements.
Requirements
- Bachelor’s degree and 0–2 years of relevant experience, or a master’s degree and 0–3 years, or 8–10 years of relevant experience without a degree.
- Proficiency in Python for automation, data workflows, or computational scripting.
- Working knowledge of Linux environments and familiarity with Git, GitHub, or GitLab workflows.
- Basic understanding of SQL, RDS, and Databricks, plus exposure to Docker or containerized compute environments.
- Strong analytical problem-solving and technical workflow debugging abilities.
- Ability to document technical steps and collaborate in an Agile/Scrum environment.
- Ability to work on NIPR systems; eligibility to obtain a SECRET clearance is highly preferred.
- Preferred qualifications include Kubernetes, GitLab CI/CD, GitHub Actions, AWS, Databricks, Spark, .NET, Angular, scientific computing, HPC workflows, reproducible pipelines, JIRA administration, and MLOps or ML pipeline exposure.
Benefits
- Structured progression from junior to mid-level responsibilities through hands-on work, mentorship, training, and onboarding.
- Exposure to Kubernetes, GitLab CI/CD, AWS, .NET application environments, Databricks, and mission operational workflows.
- Work on NIPR systems with potential progression toward SIPR access and elevated responsibilities as clearance adjudication allows.
Tech Stack
Categories
About BigBear.ai
BigBear.ai develops AI-powered decision intelligence software, computer vision, and modeling/simulation tools for U.S. defense, intelligence, federal civilian, and critical-infrastructure markets. It sells software platforms and contract services, often deployed in secure government clouds, to support mission planning, logistics, and cybersecurity. Founded in 1988 and headquartered in McLean, Virginia, BigBear.ai is a public company listed on the NYSE under the ticker BBAI.