Job description

Residency All applicants must reside in the United States at the time of application. Overview BigBear.ai is seeking a high-caliber Software Engineer thriving in a rapid development and deployment environment. A key focus of this role is the ability to react swiftly to emergent mission opportunities, designing and deploying new capabilities under tight timeframes. You will provide end-to-end support to a cross-functional team automating critical solutions across the entire software stack, including user interfaces, middleware, databases, analytics, and cloud architectures. Collaboration is essential as you work alongside teammates and partners to modernize legacy infrastructure and scale future capabilities. Ultimately, your responsiveness will directly accelerate mission success by leveraging cutting-edge automation and AI-assisted development tools to deliver actionable insights. What you will do • 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 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 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.

Requirements

Must-haves

All applicants must reside in the United States at the time of application.
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
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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aireactrestjavascriptangularvuepythonjavadockerci/cdaws

Platform: jibe
Effort: medium