Software Engineer (Cloud Platforms)
Role details
Salary: $180K - $280K
Hybrid work policy: 4 days in office in San Mateo, Fridays remote,Full-time position
Location: San Mateo, CA
Equity: Competitive equity
Visa sponsorship details: Open to visa transfers (e.g. OPT, H1B transfers)
Hiring Count: Looking to hire 2 candidates for this role
Tech stack: Go, Kubernetes, gRPC, PostgreSQL, Terraform
About this role:
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.
We are looking for a seasoned engineer who has built SaaS/cloud platforms from zero to one at start-ups. You will play an instrumental role in designing and implementing SkyPilot’s commercial cloud platform, which will power a reimagined multicloud AI experience.
What you'll do
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.
Requirements
Requirements:
Deal breaker:
Work experience
Must have Experience building a SaaS platform from 0 to 1 (looking for builders, not maintainers).
Hard skills
Must have Go preferred, Kubernetes required in production.
Miscellaneous
Must have At least one clear excellence signal in the last two roles: a top infra or cloud company (Databricks, Confluent, Snowflake, Netflix, HashiCorp, well-funded Series A to C infra startup) or a top-30 CS program.
Baseline
Seniority:
Required 6+ years of experience as a backend or platform engineer with 0-1 startup experience.
Work experience:
Required Experience at a VC-backed startup during the zero-to-one build phase (Seed-Series C range).
Required Built the platform layer of a multi-tenant SaaS or cloud product: control plane, tenant and user management, auth or RBAC, API gateway, billing or metering.
Required Search, analytics, database internals, fintech and low-level systems work do not count as platform experience.
Education
Required Bachelor's in CS, computer engineering, or software engineering from a top-30 school.
Hard skills
Required Experience with gRPC, PostgreSQL, and Terraform.
Nice-to-have:
Was an early employee (within first 30 at the company) of a start-up that later scaled.
