Founding Software Engineer
Raydar
Founding Software Engineer
Raydar
AI-powered recruiting agency for tech roles
Raydar · San Francisco, United States (Hybrid) · Full-time · Posted 2026-11-06
Salary: USD 220,000–280,000
Workplace: hybrid
About the company
Our client is a fast-growing financial services company.
The role
Raydar is recruiting for this role on behalf of our client. A hands-on generalist role building a new software product from its earliest stage, covering design, coding, deployment and keeping live services dependable. The person works in person with company leaders and first users, shaping features from initial need through release.
What you'll do
- Build and run end-to-end services and user-facing features, from initial scoping through production support.
- Design backend systems that handle event flows reliably and grow with rising load while keeping downtime close to zero.
- Work alongside early users to gather feedback and iterate quickly on the product plan.
- Choose suitable tools for each problem, weighing speed of delivery against long-term maintainability.
What we're looking for
- Strong backend engineering fundamentals, with a backend or full-stack focus.
- Demonstrated high ownership and agency as an individual contributor at a high-growth startup.
- Proficiency in at least two modern programming languages commonly used for web and backend services.
- Genuine interest in the company's sector and the demands of an early-stage company.
Bonus points
- Degree from a highly ranked computer science or other technical program, especially for more junior candidates.
- Track record of shipping products from zero to one in payments or financial technology.
Compensation and benefits
- Base salary: USD 220,000 to 280,000
- Equity
- Group health care coverage
Location and work model
- San Francisco, CA, United States
- Hybrid, with in-office work 3-5 days per week
- 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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