Senior Software Engineer-Go, Kubernetes (Cloud Platforms)

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)

Tech stack: Go, Kubernetes, gRPC, PostgreSQL, Terraform

About this role:

We are building the future of multicloud AI infra. We are the Berkeley founding team commercializing (9.5K+ GitHub stars, 200+contributors), to enable AI to run on different cloud infrastructures in a portable, cost-optimizing, and highly available way.

We are 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, It 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 our 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.
  

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.​

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.​

Miscellaneous:

• Was an early employee (within first 30 at the company) of a start-up that later scaled.​