Backend Software Engineer
Raydar
Backend Software Engineer
Raydar
AI-powered recruiting agency for tech roles
Raydar · San Francisco, United States · Full-time · Posted 2026-10-01
Salary: USD 175,000–225,000
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. Develop and maintain server-side services, APIs and data workflows for a multi-product software platform. Collaborate with research and engineering colleagues to keep infrastructure reliable as usage grows, taking projects from early concept to live production.
What you'll do
- Develop dependable server-side services and data workflows that support several products.
- Plan infrastructure that stays efficient as usage expands.
- Contribute across external-facing, research-facing and internal tooling applications.
- Work with research colleagues to refine the systems that gather their data.
- Maintain APIs and services relied on by a large daily user population.
What we're looking for
- At least 2 years of backend engineering experience.
- Proficiency in Python and TypeScript.
- Background in a fast-moving startup rather than solely large, established organizations.
- History of taking new initiatives from nothing to launch and showing clear business results.
- Hands-on experience operating data-heavy services in a live environment.
- A computer science degree from a strong program, or equivalent experience.
Bonus points
- Domain experience in audio, machine learning or data infrastructure.
- Familiarity with Node.js, PostgreSQL or AWS.
Compensation and benefits
- Base salary: USD 175,000 to 225,000 per year
- Equity
- Unlimited paid time off
- Health, dental and vision coverage
- Retirement plan
- FSA and HSA access
Location and work model
- San Francisco, CA, United States
- On-site, 5 days per week in office
- Full-time
Powered by Workable
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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