Manage and deploy services within existing infrastructure environments using MACHINESHOP, Docker, Nginx, and GitLab CI/CD, while planning expansions into C2S and HCI
Utilize AI-assisted development tools such as Claude Code, Codex, and Opencode to accelerate code delivery and enhance team development velocity
What you need to have
12+ years of relevant experience, or Bachelor's degree in a technical discipline + 4+ years of experience
Clearance:TS/SCI w/Poly
Experience with successful software development on NSANet, demonstrating familiarity with environment ecosystems such as MACHINESHOP, C2S, or GHOSTMACHINE
Production-grade software development experience in Python and JavaScript to build robust, full-stack architectures
Knowledge of developing user interfaces, REST middleware, databases, and analytics within a cross-functional team framework
Experience with collaborative development workflows, showcasing a strong history of teamwork and communication skills
Familiarity with git-based version control systems and continuous integration pipelines
What we'd like you to have
Experience working within CNO, specifically with ATPG, TURBINE/ASGARD, or other automation platforms, alongside past CNE exposure
Experience using and customizing AI-assisted development tools (Claude Code, Codex, Opencode, etc.) through advanced configurations like Skills and Memory
Familiarity with modern UI libraries (React, Angular, Vue) and cloud-based hosting environments like AWS
Experience with infrastructure expansion and deployment utilizing tools such as C2S, HCI, Docker, Nginx, and GitLab CI/CD
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
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.
Develop end-to-end full-stack solutions, including user interfaces, REST middleware, databases, and analytics to support the ES team's mission
Automate new opportunities and capabilities to be seamlessly leveraged by CNO and its partners
Maintain and update existing front-end interfaces utilizing JavaScript, HTML/CSS, Bootstrap, and jQuery, while preparing to migrate future front-ends to modern UI libraries like React, Angular, or Vue
Optimize existing backends using Python, Asyncio, and Pandas, and occasionally perform updates to legacy Java Map/Reduce and GHOSTMACHINE analytics
Manage and deploy services within existing infrastructure environments using MACHINESHOP, Docker, Nginx, and GitLab CI/CD, while planning expansions into C2S and HCI
Utilize AI-assisted development tools such as Claude Code, Codex, and Opencode to accelerate code delivery and enhance team development velocity
12+ years of relevant experience, or Bachelor's degree in a technical discipline + 4+ years of experience
Clearance:TS/SCI w/Poly
Experience with successful software development on NSANet, demonstrating familiarity with environment ecosystems such as MACHINESHOP, C2S, or GHOSTMACHINE
Production-grade software development experience in Python and JavaScript to build robust, full-stack architectures
Knowledge of developing user interfaces, REST middleware, databases, and analytics within a cross-functional team framework
Experience with collaborative development workflows, showcasing a strong history of teamwork and communication skills
Familiarity with git-based version control systems and continuous integration pipelines
