Senior Software Engineer (Go, Kubernetes) (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)

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.

Requirements

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:

Miscellaneous:

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