Senior Compute Infra Engineer — Serverless & Multi-Cloud

Precision Labs; Mountain View (CA); Hybrid; USD 164,000 - 205,000; Full time

Job summary

Databricks is recruiting engineers to design and build the next generation of our Serverless compute platform. The role focuses on high availability, low latency, and scale-to-zero efficiency across AWS, Azure, and GCP.

You will work on a unified compute stack for GPUs and stateful execution, tackling multi-cloud challenges and optimizing from API gateways to networking. Join a team with experience at scale on industry leaders.

Qualifications

• 5+ years in one of Python/Java/Scala/C++ or similar language.
• 4+ years building large-scale distributed systems from scratch.
• Experience with Kubernetes, Docker, or MicroVM technologies and cloud provider internals (AWS/Azure/GCP).

Responsibilities

• Design and build the next generation of our Serverless platform with high availability and low latency.
• Create a single compute stack to support heterogeneous workloads including AI training.
• Develop platform abstractions for seamless multi-cloud operation across major providers.
• Optimize API gateway, host networking, and container orchestration.
• Collaborate with experts who built Borg, Kubernetes, and Uber-scale infrastructure.

Skills

Python

Java

Scala

C++

Distributed systems

Tools

Kubernetes

Docker

Firecracker/MicroVMs

Job description

Databricks is recruiting engineers to design and build the next generation of our Serverless compute platform. The role focuses on high availability, low latency, and scale-to-zero efficiency across AWS, Azure, and GCP.

You will work on a unified compute stack for GPUs and stateful execution, tackling multi-cloud challenges and optimizing from API gateways to networking. Join a team with experience at scale on industry leaders.