Principal Full Stack Software Engineer

GliaCell Technologies•Laurel, MD

2d•$200,000 - $280,000•Hybrid

About The Position

GliaCell Technologies focuses on Software & System Engineering in Enterprise and Cyber Security solution spaces. We excel at delivering stable and reliable software solutions using Agile Software Development principles. These provide us the capability to deliver a quick turn-around using interactive applications and the integration of industry standard software stacks. GliaCell’s Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer solutions in the areas of CND, CNE, and CNO by providing our customers with assessments and solutions in Threat Mitigation, Vulnerability Exposure, Penetration Testing, Threat Hunting, and Preventing Advanced Persistent Threat. GliaCell is seeking a Principal Full Stack Software Engineer on one of our subcontracts. This is a full-time position offering the opportunity to support a U.S. Government customer. The mission is to provide technical expertise that assists in sustaining critical mission-related software and systems to a large government contract. Join ATPG's Endpoint Snapshots (ES) team as a high-caliber full-stack 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.

Requirements

Possess an active or rein-statable TS/SCI with Polygraph security clearance. (This position requires in-scope poly, within 7 years).
U.S. Citizenship.
12+ years Software Engineering experience and a BS degree in Computer Science or related. Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor’s degree.
Works well independently as well as on a team.
Strong communication skills.

Nice To Haves

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.
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.

Responsibilities

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.