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Salary
$200k – $400k per year
Location
In office (San Francisco)
Seniority
Middle · 3+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 3, 2026. First seen by Alion on Oct 25, 2026.

Overview
Company
Impact
Profile match
Operating as a modern AI-powered recruitment agency and talent marketplace, Raydar connects high-growth technology companies and venture-backed startups with specialized technical and commercial professionals. The platform integrates automated conversational AI screening to conduct initial structured candidate interviews before human recruiters take over to handle contextual matching, personalized interview preparation, and offer negotiations. Specializing in placements across software engineering, AI/data infrastructure, product development, and go-to-market functions, the firm helps innovative enterprises scale their distributed teams.

About the company

Our client is a technology company.

The role

Raydar is recruiting for this role on behalf of our client. Design and run the shared infrastructure that engineering and review workflows depend on, with a focus on reliability, failure recovery and performance as usage grows. The work spans distributed services, data pipelines and the internal tools that non-engineering specialists use every day.

What you'll do

- Build and maintain distributed services and data pipelines that move job execution results and datasets reliably.

- Diagnose live incidents and tune systems so they use fewer resources, run faster and bounce back after faults.

- Make long-running jobs that rely on external APIs, remote environments and background services dependable.

- Build internal tools that reduce repetitive manual work for team members.

- Set and uphold engineering standards for infrastructure work across the team.

Requirements

What we're looking for

- 3 to 7 years of production software experience.

- Working familiarity with large-scale software systems that handle heavy traffic and data movement.

- A track record of taking projects from requirements through implementation and release.

- Sound engineering judgment and the ability to investigate unfamiliar parts of a codebase.

- High standards for engineering practice and a high degree of personal agency.

Bonus points

- Background in automating AI-driven tasks, serving models in production or building model quality testing tools.

- Side projects that show initiative and hands-on problem solving.

Benefits

Compensation and benefits

- Base salary: $200,000 to $400,000

- Equity

- Health, dental and vision coverage

Location and work model

- San Francisco, CA, United States

- On-site, in office

- Full-time

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