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Raydar

Platform Software Engineer

Posted 4 Days Ago
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In-Office
San Francisco, CA, USA
200K-400K Annually
Mid level
In-Office
San Francisco, CA, USA
200K-400K Annually
Mid level
Designs and operates shared infrastructure supporting engineering and review workflows. Builds distributed services, data pipelines, internal tools, and reliable long-running jobs involving external APIs and remote environments. Investigates incidents, improves performance and resource efficiency, strengthens failure recovery, and establishes engineering standards. The role requires production software experience, large-scale systems familiarity, end-to-end project ownership, sound engineering judgment, and strong initiative. Experience with AI task automation, model serving, or model quality testing is advantageous.
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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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