Staff Backend Software Engineer
Raydar
Staff Backend Software Engineer
Raydar
AI-powered recruiting agency for tech roles
Raydar · San Francisco, United States (Hybrid) · Full-time · Posted 2026-10-28
Salary: USD 200,000–300,000
Workplace: hybrid
About the company
Our client is a software company.
The role
Raydar is recruiting for this role on behalf of our client. Build and own the backend services that run high-volume automated jobs, covering scheduling, queues, third-party integrations, and the scale, data integrity and uptime of the system. You will take work from scoping through delivery, help shape the platform's architecture, and partner closely with the technical lead on production-grade infrastructure. This is a highly autonomous, senior-level position.
What you'll do
- Design and build the core backend engine that runs customer jobs, including scheduling, queues and retries.
- Build and maintain integrations with external data providers, handling rate limits, failures and per-call cost.
- Take features from scoping through to delivery and into production.
- Influence how the platform is structured so it holds up under growing load and keeps records accurate.
- Collaborate tightly with the technical leader on infrastructure that handles heavy traffic.
What we're looking for
- Bachelor's degree.
- Experience at an early-stage startup, including as a founder or founding engineer.
- Track record of shipping large-scale background processing or data movement systems in live environments.
- Experience with Effect or functional TypeScript.
- Hands-on record of keeping heavily loaded server-side systems fast, accurate and dependable in production.
- Able to work hybrid in San Francisco.
Compensation and benefits
- Base salary: $200K to $300K per year
- Equity
- Health benefits for employees and dependents
Location and work model
- San Francisco, California, United States
- Hybrid (in-person part of the week)
- 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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