Software Engineer (Cloud Platforms)

SkyPilot • San Francisco, CA

69d

About The Position

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. You’ll play an instrumental role in designing and implementing SkyPilot’s commercial cloud platform, which will power a reimagined multicloud AI experience.

Requirements

• 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.

Responsibilities

• 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed