Software Engineer - Integration Platform

C1San Francisco, CA
Onsite

About The Position

At C1, we connect to hundreds of enterprise systems—from modern APIs with beautiful documentation to legacy systems where the "docs" are a decade-old PDF and tribal knowledge. We've built an integration platform that handles the chaos: flaky endpoints, inconsistent schemas, authentication schemes that predate OAuth, and the inevitable 3am alerts when a vendor pushes a breaking change. We ship fast, we ship constantly, and we've embraced AI tools (Claude Code, Cursor) to move even faster. We are looking for exceptional Staff and Principal Engineers to join us in San Francisco, working on how we connect to and interact with the hundreds of systems our customers depend on. You'll design the abstractions that make new connectors a joy to build, debug the gnarliest integration failures, and ensure our platform scales as we onboard enterprise customers with sprawling tech stacks. If you bias toward action and care deeply about shipping, we want to talk to you.

Requirements

  • A track record of delivering complex, multi-team projects—you've shipped systems that handle real scale, real failures, and real customers
  • Deep experience with Go or similar backend languages, with strong opinions on how to write maintainable, performant code
  • Strong systems thinking—you balance technical debt against feature velocity and make pragmatic tradeoffs
  • Demonstrated technical leadership—you've driven architectural decisions, built consensus across teams, and helped other engineers grow
  • High agency—you figure out what needs to be built, not just how to build what you're told. You move fast and unblock yourself.
  • Deep understanding of production environments—you know how to debug, monitor, and operate the systems you build
  • Experience with AI-assisted development (Claude Code, Cursor, Copilot, or similar)—you're already using these tools and excited about what's next
  • Clear, persuasive communication—you can explain complex technical concepts to diverse audiences and build alignment
  • Ego in check—you care about getting it right, not being right

Nice To Haves

  • Experience building AI-native products—integrating LLMs into production systems, prompt engineering, retrieval-augmented generation
  • Experience building integration platforms or working with many third-party APIs at scale
  • Deep familiarity with identity protocols and systems (SCIM, SAML, OAuth, LDAP, Active Directory, or similar)
  • Background in building multi-tenant SaaS platforms with enterprise security requirements
  • Contributions to open source projects or engineering communities

Responsibilities

  • Build and scale our integration platform—design the systems that let us connect reliably to hundreds of enterprise applications, from major SaaS providers to legacy on-prem systems
  • Plan and drive large projects with incremental deliverables—you'll contribute to major architectural decisions, assess technical risks, and communicate tradeoffs across teams
  • Work directly with customers to understand complex integration requirements—every enterprise environment is different, and the best solutions come from deep understanding
  • Set the bar for code quality—deliver code that's maintainable, well-tested, and sets the standard for the team
  • Be a stabilizing force when things are ambiguous—keep the team aligned on priorities and moving forward even when the path isn't clear
  • Mentor and elevate others—delegate effectively, trust people with real ownership, and help engineers around you grow

Benefits

  • We bias toward action. We'd rather ship something and learn than debate endlessly. Iteration beats perfection.
  • We use AI tools daily to write code, review PRs, explore ideas, and move faster. If you're not excited about this, we're not the right fit.
  • We build for real problems, not hypothetical ones. We talk to customers constantly and take their security seriously.
  • We give direct feedback because we care about each other's growth. Ego takes a back seat to getting it right.
  • We take ownership of outcomes, not just tasks. If something needs doing, we do it.
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