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Director, Platform Engineering
Getmaple
Toronto, CAN
Full-time
Senior · 2+ years experience
Hybrid
Discovered 3 weeks ago
GitHub ActionsAWSTerraformLaravelLangfuseReact Native Web
Free
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GitHub ActionsAWSTerraformLaravelLangfuseReact Native Web
Full Job Posting
- Own the platform engineering team's mandate end-to-end: developer environment, CI/CD and deployment pipelines, test infrastructure and quality tooling, framework and dependency health, AI tooling for engineers, and the AI feature tooling stack
- Serve Maple's product engineering squads as your primary customer — publish a platform roadmap, run developer surveys, and make prioritization calls based on developer friction data
- Drive engineering metrics in partnership with the VP of Engineering — stand up the tooling to measure developer experience, define the quantitative baselines, and set the roadmap to move them
- Hire, coach, and grow a small team of engineers, and set the operating model, rituals, and career expectations for the team
- Partner across Engineering, Business Technology, Security, Data, and Product to lead change — from shifting the org from manual to continuous deployment, to raising the bar on quality, observability, and incident response
- Stay hands-on where it matters: architecture reviews, prototyping, and unblocking your direct reports — while making sure the platform team stays a thin, high-leverage layer rather than an over-engineered one
- Translate platform investment into business outcomes for non-technical executive leaders and connect the team's roadmap to Maple's growth priorities
- 5+ years of people leadership experience in engineering, including 2+ years building or leading a platform or developer experience team
- Director-level operating experience — you've owned a multi-domain technical roadmap and worked as a peer to other Directors and senior cross-functional leaders
- A track record of treating platform as a product — publishing roadmaps to internal customers, running developer surveys, setting up DevEx metrics, and making priority calls based on developer friction data, with a "thin platform" bias and a servant leadership orientation
- Deep expertise in modern CI/CD and deployment pipelines (GitHub Actions or equivalent, feature flag systems, progressive delivery, automated quality gates), and cloud infrastructure fluency (AWS preferred) — enough to be a credible counterpart to Business Technology in technical conversations
- Strong grounding in observability, incident management, and quality engineering — Datadog, SLOs, on-call design, blameless postmortems, E2E test frameworks, and shift-left quality
- Hands-on familiarity with AI-assisted development tooling (Cursor, Claude Code, Copilot, agent infrastructure) — you've actually shipped or operated AI tooling for engineers, not just watched the space
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