Full-Stack Software Engineer
Raydar
Full-Stack Software Engineer
Raydar
AI-powered recruiting agency for tech roles
Raydar · San Francisco, United States · Full-time · Posted 2026-10-01
Salary: USD 260,000–290,000
Workplace: on_site
About the company
Our client is a fast-growing technology company.
The role
Raydar is recruiting for this role on behalf of our client. Own core data infrastructure and full-stack applications as an early engineer working directly with company founders. You will design the architecture, set engineering standards and ship features quickly across web interfaces and high-volume data pipelines.
What you'll do
- Build and scale data-capture workflows across web and desktop applications, owning reliability and throughput end to end.
- Design and tune data pipelines that hold up under heavy production load.
- Establish engineering best practices and lay architectural foundations for a growing team.
- Work closely with the founders to shape product direction and deliver features quickly.
- Make greenfield infrastructure decisions covering storage, caching, search and messaging.
What we're looking for
- Strong coding fundamentals in TypeScript and Python.
- Solid grasp of distributed systems, scalability and system design.
- Familiarity with cloud platforms, container orchestration, APIs and NoSQL databases.
- Ability to weigh trade-offs and balance delivery speed against reliability.
- Clear communicator with a sense of ownership, curiosity and a preference for simple solutions to complex problems.
- 0 to 4 years of relevant engineering experience.
Bonus points
- Exposure to machine learning tooling or workflows that combine automation with manual review.
Compensation and benefits
- Base salary: USD 260,000 to 290,000 per year
- Equity
- Health insurance
Location and work model
- San Francisco, CA, United States
- On-site
- Full-time
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Raydar is an AI-powered talent acquisition firm that serves tech-focused organizations on a contingency basis, charging client companies only after a successful hire. It uses proprietary AI to identify a large pool of candidates and conducts a short 15-minute AI-driven interview (recorded and transcribed) before human recruiters review materials, provide interview prep, and assist with offers and negotiations. What sets it apart is the blend of automated sourcing and screening with hands-on human oversight and tailored client support. Its goal is to help organizations hire more efficiently by speeding up sourcing while maintaining thorough evaluation and negotiation assistance.
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