Staff Software Engineer, Product Quality

Recruiting From Scratch

  • San Francisco, California
  • 5 days ago

    Highlights

    The company is hiring a Staff Engineer to own quality across testing, CI, release infrastructure, and provider integrations—building systems that automatically catch regressions and upstream model-provider changes without slowing engineering velocity. Design and build comprehensive provider conformance testing covering streaming, tool calling, structured outputs, authentication, error mapping, and cost tracking.

    Numbers & Facts

    LocationSan Francisco, California
    Websiterecruitingfromscratch.com

    Description

    Who is Recruiting from Scratch: 
    Recruiting from Scratch is a specialized talent firm dedicated to helping companies build exceptional teams. We partner closely with our clients to deeply understand their needs, then connect them with top-tier candidates who are not only highly skilled but also the right fit for the company’s culture and vision. Our mission is simple: place the best people in the right roles to drive long-term success for both clients and candidates.
     

    Staff Software Engineer, Product Quality

    Location: San Francisco, CA
    Company Stage of Funding: Startup
    Office Type: Onsite
    Salary: $240,000–$270,000 + Equity

    Company Description

    We're representing a fast-growing AI infrastructure company behind one of the world's most widely used LLM gateways. Its open-source platform provides a standardized interface for accessing 100+ LLM providers and is trusted by major organizations across technology, media, government, and enterprise environments.

    With such a broad integration surface and significant open-source contribution volume, product quality is a core infrastructure problem. The company is hiring a Staff Engineer to own quality across testing, CI, release infrastructure, and provider integrations—building systems that automatically catch regressions and upstream model-provider changes without slowing engineering velocity.

    This is a deeply technical individual contributor role for an engineer who wants to remain in the code while setting the quality bar across a high-scale AI developer platform.

    What You Will Do

    • Own product quality end-to-end across a platform integrating with more than 100 LLM providers.
    • Design and build comprehensive provider conformance testing covering streaming, tool calling, structured outputs, authentication, error mapping, and cost tracking.
    • Build and own CI infrastructure that is fast, deterministic, and reliable enough to serve as a true release gate.
    • Develop automated testing strategies that accommodate a large volume of external and open-source contributions.
    • Build canary testing and synthetic traffic systems that identify upstream provider changes before they impact customers.
    • Design release infrastructure that enables rapid daily shipping while maintaining stable release channels for enterprise customers.
    • Debug complex failures across unfamiliar code paths, third-party integrations, and provider APIs.
    • Perform deep root-cause analysis and convert escaped production defects into permanent regression coverage.
    • Improve testing architecture, developer tooling, and release workflows without introducing unnecessary process or slowing engineering velocity.
    • Raise the technical bar through hands-on coding, architecture decisions, debugging, and code reviews.

    Ideal Background

    • Senior-to-Staff level software engineering experience with deep technical ownership of production systems.
    • Experience working at a Seed through Series D startup and comfort operating across multiple areas as priorities change.
    • Proven experience building test, CI, release, or developer infrastructure for complex production software.
    • Experience supporting products with a large external integration or API surface.
    • Strong debugging ability with a track record of identifying underlying root causes rather than patching symptoms.
    • Experience designing automated test suites engineers trust enough to gate production releases.
    • Strong understanding of CI/CD, release engineering, integration testing, and production reliability.
    • Track record of improving engineering quality without becoming a bottleneck to shipping.
    • Experience contributing to or maintaining open-source software.
    • Comfortable taking organization-level technical ownership as an individual contributor.

    Preferred

    • Experience maintaining CI or release infrastructure for a large open-source project with significant outside contribution volume.
    • Experience building infrastructure around third-party APIs where upstream behavior can change unexpectedly.
    • Background in AI infrastructure, LLM platforms, developer tools, API gateways, or cloud infrastructure.
    • Experience testing LLM functionality including streaming, tool/function calling, structured outputs, and model-provider error handling.
    • Strong Python experience.
    • Experience designing canary releases, synthetic monitoring, or automated production validation systems.
    • Familiarity with multi-channel release strategies balancing rapid iteration with enterprise stability.
    • Meaningful GitHub or other public open-source contributions.
    • Strong opinions about testing architecture, engineering quality, and what makes automated test infrastructure genuinely trustworthy.

    Compensation and Benefits

    • Base salary:$240,000–$270,000.
    • Competitive equity package.
    • Onsite position in San Francisco.
    • Deep technical IC role with ownership over product quality rather than a process-heavy QA function.
    • Opportunity to build quality and release infrastructure for an AI gateway supporting 100+ LLM APIs.
    • Work on infrastructure used by major organizations while contributing to a highly visible open-source ecosystem.
    • High-ownership startup environment where engineering quality is driven through code, automation, and strong technical judgment rather than additional process.
    Salary Range: $240,000-$270,000 base. 
     

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