Software Engineer

CI/CD has been solved. Now it's being reinvented. AI agents don't just run pipelines. They write code, trigger builds, interpret failures, and propose fixes. The interfaces that developers use to understand and trust that work don't exist yet. We're building them.

At CircleCI, our guiding principles aren't posters on a wall. We learn fast: we run experiments, accept failure, and scale what works. We think like the customer: every decision connects back to the developer sitting in front of a failing build at 2 am. We own the outcome: not just our slice of it, but the whole thing. If that's how you already work, you'll fit here.

We don't hire for a team. We hire for CircleCI. Where you land depends on where your strengths create the most leverage, and we figure that out together. You might own the CI pipeline experience, deploy and release tooling, notification infrastructure, monetization flows, AI agent surfaces, or the foundational web platform. The through line across all of it is the same: full-stack ownership, a high bar for craft, and work that directly shapes how tens of thousands of developers experience CircleCI every day.

• Build AI-natively. AI is how we work. It’s not a productivity layer on top of engineering, but the default starting point for how problems get approached and solved.
• Invent new interfaces. Software delivery is being reinvented. Pipelines run autonomously, generate fixes, and surface results that need human judgment. The tools developers use to understand, trust, and act on that work don't exist yet. You'll define what they look like.
• Obsess over craft. Reliability and responsiveness are design concerns, not afterthoughts. Care about how the interface holds up when stakes are high.
• Champion observability. Use Honeycomb, Datadog, and Rollbar to understand and improve your systems. Operational data drives stability, not just incident response.
• Pick up slack. You'll notice gaps and close them — not because you were asked, but because that's the standard we hold ourselves to.

• AI-native engineering practices. You use AI tools daily and can speak to what you've built, where they changed your approach, and where they fall short. 
• A track record of shipping. You've built something real and put it in front of users. 3+ years of production full-stack, backend leaning experience.
• Backend depth. Strong backend expertise in Go, including API design, data modeling, and service integration, with the ability to contribute across the stack when needed.
• System design. You think about architecture, not just features. You make conscious tradeoffs and document your reasoning.
• Production mindset. Latency, responsiveness, and reliability are design concerns. You're comfortable operating services in a distributed environment.

You've stopped waiting for AI to mature and are already building with it, not as a productivity trick, but as a core part of how you think about problems. You care about the product as much as the code. You're drawn to work where the patterns don't exist yet and the best answer requires you to invent it. If that's how you already operate, we want to talk.