Lead technical planning, break projects into actionable tasks, drive execution from ideation to production, mentor engineers, and own architecture and technology decisions for open-source and product roadmaps.
SkyPilot is building the future of multicloud AI infra. We are the Berkeley founding team commercializing SkyPilot (9.5K+ GitHub stars, 200+contributors), to enable AI to run on different cloud infrastructures in a portable, cost-optimizing, and highly available way.
SkyPilot is deployed at 100s of companies, including Fortune 500s and top AI-natives (Shopify, Redis, Abridge, Hippocratic, Applied Compute, etc.). In 2025, adoption grew >600%, now launching more GPUs per month than the biggest neocloud’s fleet. Currently in stealth, SkyPilot is founded in 2024 by UC Berkeley PhDs and professors (incl. Databricks cofounders). We’re building a top-tier engineering team, with current talent from Databricks, Google, Crusoe, ByteDance, and PingCap.
As a Technical Lead, you are a hands-on, seasoned engineer who will transform ambitious product roadmaps into delivered engineering milestones:
- Lead technical planning and execution: Break down projects into actionable tasks, establish technical roadmaps, and drive projects from ideation to production. Lead and mentor a high-performing team of engineers, while excited by hands-on execution.
- Own architectural decisions: Make critical decisions for an ambitious open-source & product roadmap, spanning architectural designs and technology choices.
- 2+ years of Tech Lead experience leading multiple engineers through complete project lifecycles, with clear impact.
- 6+ years of experience building distributed systems, cloud platforms, or large-scale backend services.
- Colleagues describe you as having both excellent execution skills and great product and business sense.
- Experience leading small-to-medium sized engineering teams; Ability to clearly communicate clearly and drive engineering excellence.
- Experience with cloud infra technologies: e.g., gRPC, Protobuf, AWS / GCP / Azure / neoclouds, Kubernetes, Terraform, load balancers, container orchestration, etc.
What We Offer
- Competitive equity, compensation, and health benefits.
- Chance to work with some of the best minds in cloud, distributed, and AI systems, with significant autonomy and ownership.
- Front-row seat at the latest open-source infra startup from Berkeley.
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What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
