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.​