Software Engineer

About the company Engineering

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 the company, 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.

Team-Agnostic Placement

We don't hire for a team. We hire for the company. 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 the company every day.

What You'll Do

• 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.

• Own the full stack. Build features end-to-end in Go, React, and TypeScript. You don't hand off at a layer boundary. You own the outcome.

• 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.

What You'll Bring

• 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 experience.

• Full-stack depth. Strong React and TypeScript. Comfortable owning backend services in Go: API design, data modeling, service integration.

• 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.

Sound like you?

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.

The salary range listed reflects the wide geographic scope of this posting, as we hire across the United States and Canada. Actual compensation is determined based on a combination of factors, including but not limited to skills, experience, job-related knowledge, and geographic location. As a result, the starting salary offered may vary and could fall anywhere within the posted range, and not all candidates should expect to receive an offer at the top of the range.

Canada Base Pay Range

$130,000 — $175,000 CAD

Expected salary range for San Francisco and the surrounding area.

US SF Bay Area (Metro Zone 3)

$155,000 — $215,000 USD

Expected salary range for specific metro areas including Boston, Washington DC, Denver, Los Angeles, New York, Portland, San Diego, and Seattle. These metro areas may change periodically.

US Metro Zone 2

$150,000 — $205,000 USD

Expected pay range for all other US locations not falling into Metro Zone 3 or Metro Zone 2.

US General

$135,000 — $190,000 USD

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

About the company

The company is the world’s largest continuous integration/continuous delivery (CI/CD) platform, and the hub where code moves from idea to delivery. As one of the most-used DevOps tools - processing more than 3 million jobs a day - the company has unique access to data on how the most effective engineering teams work, and the tools to help software companies successfully leverage the power of AI into their commercial applications. Companies like Hinge, HuggingFace, and Samsung use us to improve engineering team productivity, release better products, and get to market faster.

Founded in 2011 and headquartered in downtown San Francisco with a global, remote workforce, the company is venture-backed by Base10, Greenspring Associates, Eleven Prime, IVP, Sapphire Ventures, Top Tier Capital Partners, Baseline Ventures, Threshold

Ventures, Scale Venture Partners, Owl Rock Capital, Next Equity Partners, Heavybit, and Harrison Metal Capital.

The company is an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

How the company Uses AI in Hiring

At the company, people make our hiring decisions. We use technology to support our recruiting team so they can spend more time on what matters most: getting to know you.

Where we may use AI

• Job descriptions and messaging : AI may help draft job descriptions and role-specific messaging so they are clear and accurate.

• Application review : For some roles, we use an AI tool to review applications, including resumes and application responses, against criteria our hiring team sets for the role. The tool generates a fit score and summary to help recruiters organize and prioritize applications.

• Interview notes : With advance notice, an AI note-taking tool may join interviews to record, transcribe, and summarize the conversation. This lets interviewers focus on talking with you. You will be told before each interview, and you may opt out at any stage by letting your recruiter know. If you opt out, the tool will not join, and your candidacy is not affected.

• Outreach : AI may help draft candidate outreach and scheduling messages, which our team reviews before sending.

Our commitment

AI does not make hiring decisions at the company. Our recruiters and hiring teams review candidates and make every decision to advance or reject an application. No candidate is rejected based solely on an AI score. We have tools and processes in place to test for bias and to review how these tools perform, and we adjust our approach as AI technology and the laws that govern it change.

Your choices

You can ask for human-only review of your application, opt out of AI interview note-taking, request an accommodation, or ask questions about how we use AI. Contact [link for members] .   For how we handle your data, including retention, see our Privacy Policy.