CircleCI
Software Engineer
Toronto, Ontario
Sponsorship not specified$127k-$159kDetected 15 days ago
ReactBackend DevelopmentFull-Stack DevelopmentCI/CDCircleCIDatadogDevOpsAPI DevelopmentAgentic AI
About the role
- About CircleCI Engineering CI/CD has been solved.
- The interfaces that developers use to understand and trust that work don't exist yet.
- At CircleCI, our guiding principles aren't posters on a wall.
Responsibilities
- 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.
- 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.
- 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.
- Build AI-natively.
- System design.
- You make conscious tradeoffs and document your reasoning.
Compensation
- Canada Base Pay Range
Company info
- 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.
- CircleCI is the world's largest continuous integration/continuous delivery (CI/CD) platform, and the hub where code moves from idea to delivery.
Equal opportunity
- Please contact us to request accommodation.
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This listing is sourced directly from CircleCI's careers page and normalized into a canonical job model.