Andromeda
Member of the Technical Staff - Customer Tools
North America Remote / San Francisco, CA. Posted 16 days ago
The role
You will build the software AI labs use to run their compute. Most work is backend in Go against Kubernetes and Postgres with a TypeScript console. You will manage customer clusters, visibility, identity and access, and idle capacity.
What you will do
- Build the first versions of a new product with principal engineers and customer teams
- Manage one fleet where customers run clusters from multiple providers under one login
- Provide visibility into health, usage, spend, and alerts for every cluster
- Build identity and access including organizations, roles, and single sign-on
- Manage idle capacity by allowing customers to offer unused GPUs on a marketplace
- Decide what to build and ship based on customer problems
- Carry a pager and talk to customers every week
Required qualifications
- Built authorization, organizations, and data separation between tenants in multi-tenant systems
- Built against the Kubernetes API
- Built metrics, logs, or event pipelines for telemetry
- Shipped production services in Go, or have the systems background to ship production Go within the first month
- Build the front end for each feature owned
- Production on-call experience carrying a pager for a system customers depend on
Nice to have
- ML or HPC infrastructure such as training clusters, Slurm, or job schedulers
- Cloud consoles or developer platforms for engineers running real workloads
- Enterprise identity including SSO, SCIM, and identity provider integrations
- Data movement such as syncing or replicating large datasets across clusters or regions
Benefits
- Competitive pay
- Meaningful equity
- Comprehensive benefits for you and your dependents
- Healthcare
- Dental
- Vision coverage
- 401(k)
- Unlimited PTO
About the company
Andromeda is a market and infrastructure platform to buy, sell, and operate compute. It enables fragmented compute to flow through one platform to deliver reliable capacity to model builders, research labs, and inference providers.