Full Stack Developer
GliaCell Technologies · Laurel, MD · 3 wk ago
On-siteEngineering$200k–$280k/yrFull-time
Job Description
GliaCell is seeking a Full Stack Developer 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.
Responsibilities
- Embrace the Blur: Take vague or high-level requirements and turn them into actionable software.
- Prototype Fearlessly: Write code, put it in front of users, gather feedback, and iterate.
- Bother the Seniors: Actively seek out our senior developers to review your code, explain complex architectural decisions, and absorb their hard-earned wisdom (they like it, we promise).
- Code with AI: Lean heavily into AI-assisted software development tools. We want you to use every modern advantage to multiply your output and learn new paradigms faster.
- Build Full-Stack Solutions: Write scripts, develop user interfaces, and build out the backend logic to integrate disparate data sources into cohesive, usable tools.
Key Requirements
- Possess an active or rein-statable TS/SCI with Polygraph security clearance.
- U.S. Citizenship.
- Professional/Education experience: 3 years & Bachelors of Science Degree, or 4 additional years in place of a BS Degree.
- Works well independently as well as on a team.
- Strong communication skills.
Required Skills
- Development Experience: You’ve been around the block just enough to know your way around Python and JavaScript, and you’ve built a few things that actually work.
- A Healthy Relationship with Ambiguity: You don't freeze when the path isn't perfectly paved. You are adaptable, driven by changing requirements, and love playing with new tech.
- Strong Communication: You are comfortable talking to humans, not just machines. You can ask good questions and actively listen to the answers.
Desired Skills
- Hands-on experience playing with agentic AI frameworks or building tools utilizing LLMs.
- Familiarity with containerization (like Docker) so you can run your prototypes smoothly.
- Any exposure to or interest in the SIGINT or CNO (Computer Network Operations) mission spaces.