Design and implement SkyPilot's commercial multicloud platform: architect control and data plane separation, tenant/user management, scaling, monitoring, and alerting. Build production-grade cloud-native platform services and APIs using Go, Kubernetes, gRPC, PostgreSQL, and Terraform, prioritizing reliability, security, and great user experience.
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.
What You’ll Do
You’ll play an instrumental role in designing and implementing SkyPilot’s commercial cloud platform, which will power a reimagined multicloud AI experience:
- Architect SkyPilot’s commercial cloud platform from the ground up: Control plane and data plane separation, tenant/user management, control plane scaling, monitoring, alerting.
- Building core, production-grade platform services: Designing and implementing APIs and services in a cloud-native stack (e.g., Go, Kubernetes, microservices), balancing reliability, security, and simplicity.
Ideal Candidates
You are a seasoned engineer with experience building SaaS/cloud platforms from zero to one.
- 6+ years of experience in building SaaS platforms at startups: You have 6+ years of experience building SaaS platforms at startups, from inception to launch to scaling. You are intimately familiar with the best-in-class tools/vendors needed for a SaaS platform.
- SaaS platform expertise: You have hands-on experience building user and organization management, authentication and RBAC, API gateway, usage metering and billing integration, CI/CD pipelines, and other core platform services — using technologies like gRPC, Go, Kubernetes, PostgreSQL, Terraform.
- Great product taste: You believe great products must deliver both a solid platform foundation and a great user experience.
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.
Similar Jobs
Big Data • Fintech • Mobile • Payments • Financial Services
Lead and grow a team of 2-3 PMs owning agent tooling and workflows. Define vision and roadmap for agent experience, drive AI-first automation, partner with Operations and cross-functional teams, deliver scalable systems, and measure impact through analytics and experimentation.
Top Skills:
Agent ToolingAIAnalyticsAutomationChat SystemsExperimentationPhone SystemsWorkflow Systems
Artificial Intelligence • Hardware • Healthtech • Software
The Senior Data Platform Engineer will manage and develop the data infrastructure on Databricks and AWS, ensuring scalable and efficient data capabilities while collaborating across teams.
Top Skills:
AWSDatabricksKafkaKinesis
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Lead design and implementation of shared, reusable data models and a certified metrics layer. Standardize pipeline patterns, CI/CD, and governance; modernize orchestration and observability; partner with Data Science, Infrastructure, and Product to deliver reliable analytics pipelines and enable AI-native data development.
Top Skills:
AirflowAtlanDatabricksDatabricks Metric ViewsDbtDbt MetricflowDelta LakeGreat ExpectationsMonte CarloPythonSpark SqlSQLUnity Catalog
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
