Senior Compute Infra Engineer — Multi-Cloud Serverless

Cacheflow; Mountain View (CA); On-site; USD 164,000 - 205,000; Full time

Job summary

Databricks is seeking an experienced engineer to join our Serverless platform team in Mountain View. You will help design and build the next generation of our compute stack with an emphasis on availability, low latency, and scale-to-zero efficiency.

You will tackle distributed systems challenges across AWS, Azure and GCP, building platform abstractions and container orchestration that scale. The role requires strong coding skills and a proven track record building large-scale systems.

Qualifications

• 5+ years of production-level experience in Python, Java, Scala, C++, or a similar language.
• 4+ years of experience developing large-scale distributed systems from scratch.
• Experience with Kubernetes, Docker, or MicroVM technologies (e.g., Firecracker) and a strong grasp of cloud provider internals (AWS/Azure/GCP).
• You aren’t just a user of tools; you understand how to build them from the ground up when existing solutions fail at our scale.

Responsibilities

• Design and build the next generation of our Serverless platform, focusing on high availability, low latency, and scale-to-zero efficiency.
• Build a single compute stack that supports heterogeneous workloads, including GPU instance qualification for AI training and stateful execution for Lakebase.
• Solve Multi-Cloud Complexity: Develop platform-level abstractions that allow Databricks to run seamlessly across all major cloud providers.
• Optimize everything from the API gateway down to the host-level networking and container orchestration.
• Work alongside industry experts who have built world-class systems like Borg, Kubernetes, and Uber’s infrastructure.

Skills

Python

Java

Scala

C++

Distributed systems

Tools

Kubernetes

Docker

Firecracker

Job description

Databricks is seeking an experienced engineer to join our Serverless platform team in Mountain View. You will help design and build the next generation of our compute stack with an emphasis on availability, low latency, and scale-to-zero efficiency.

You will tackle distributed systems challenges across AWS, Azure and GCP, building platform abstractions and container orchestration that scale. The role requires strong coding skills and a proven track record building large-scale systems.