Databricks
Senior Software Engineer, Compute Infrastructure
$164K–$205K
Mountain View, California · Senior · Full-time · Posted Sep 14, 2026
- Experience
- 5+ years in a production-level programming language and 4+ years developing large-scale distributed systems from scratch.
About the job
Build Databricks’ multi-cloud compute infrastructure and serverless platform, focusing on distributed systems, workload support, security, availability, and performance.
What you'll do
- Design and build the next-generation Serverless platform for high availability, low latency, and scale-to-zero efficiency.
- Build a unified compute stack for heterogeneous workloads, including GPU qualification for AI training and stateful execution for Lakebase.
- Develop multi-cloud abstractions and optimize infrastructure from the API gateway to host networking and container orchestration.
What they ask for
- 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 and strong knowledge of cloud provider internals (AWS/Azure/GCP).
- Ability to build tools from the ground up when existing solutions do not meet scale needs.
Pay
$164,200 — $205,200 USD (salary range)
Tools
Python, Java, Scala, C++, Kubernetes, Docker, MicroVM, Firecracker
AI focus
Build and qualify GPU compute instances for AI training.
Model-written summary · the original posting is authoritative