Senior Full Stack Engineer
Oddball Labs seeks a Senior Full Stack Engineer to serve as a senior technical contributor, turning loosely defined ideas into prototypes and production systems across varied tech stacks for the federal space, including applied AI/ML and Generative AI work. Hybrid role based in the DMV area with required Tue–Thu office commute.
- Compensation
- $130K–$175K / yr
- Location
- Washington DC area
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Contract
- Experience
- Not specified
- Category
- Fullstack
- Posted
Skills
Must have
- Strong general software engineering experience with ability to work across different tech stacks
- Comfort operating in ambiguous problem spaces with evolving requirements
- Experience designing and building modern applications, services, or platforms
- Familiarity with cloud-based systems and modern development workflows
- Experience developing or integrating generative AI applications
- Ability to quickly learn new technologies and apply them thoughtfully
- Strong collaboration and communication skills in cross-functional environments
- Pragmatic mindset — knowing when to prototype quickly and when to engineer for scale
- Strong grounding in security, privacy, and accessibility principles, especially with sensitive or regulated data
- Applicants must be authorized to work in the United States
- Certain roles may require U.S. citizenship and ability to obtain/maintain a federal background investigation and/or security clearance
- Based in the DMV area (DC, Maryland, Virginia) and able to commute to the office Tuesday–Thursday
Full description
Oddball believes that the best products are built when companies understand and value the things they are working on. We value learning and growth and the ability to make a big impact at a small company. We believe that we can make big changes happen and improve the daily lives of millions of people by bringing quality software to the federal space.
We’re looking for a Senior Full Stack Engineer to join Oddball Labs and serve as one of the team’s senior technical contributors. This role reports to the VP of Architecture and works across a wide range of projects, technologies, and problem spaces—often early in their lifecycle and still taking shape.
The ideal candidate is a strong generalist engineer who’s comfortable moving between domains, learning new tools quickly, and helping turn loosely defined ideas into working software. You’ll partner closely with architects, designers, and engineers, contribute hands-on code, and help shape technical direction across exploratory and production-bound efforts, including work that leverages AI/ML and Generative AI where it adds real value.
What you'll be doing:
- Design, build, and iterate on software solutions ranging from prototypes to production systems
- Collaborate closely with architects, designers, product partners, and engineers to explore new ideas and technical approaches
- Work across a variety of technologies, languages, and frameworks depending on the problem space
- Help evaluate and apply emerging technologies, including AI/ML and GenAI, where they create real value
- Write clean, maintainable, well-tested code and help establish good engineering practices within Labs
- Support architectural decisions and provide technical guidance to less senior engineers when needed
- Contribute to technical discovery, experimentation, and rapid learning across the team
What you’ll bring:
- Strong general software engineering experience with the ability to work across different tech stacks
- Comfort operating in ambiguous problem spaces with evolving requirements
- Experience designing and building modern applications, services, or platforms
- Familiarity with cloud-based systems and modern development workflows
- Experience developing or integrating generative AI applications
- Ability to quickly learn new technologies and apply them thoughtfully
- Strong collaboration and communication skills, especially in cross-functional environments
- A pragmatic mindset—knowing when to prototype quickly and when to engineer for scale