Staff Backend Software Engineer

Databricks · New York · Engineering · listed March 18, 2026

The shape of it

Seniority
Staff
Experience asked
8+ years
Where
Not stated
Stated pay
$190,000 – $261,250 USD
Requirements listed
5
Length
729 words

In the posting’s own words

As part of the AI Platform team, you’ll build the substrate that powers everything from data apps, AI agents, model training, model serving, and Vector Search. You’ll be joining a high-agency, high-visibility team operating at the frontier of AI infrastructure — with deep ties to research, product, and real-world enterprise use cases. Databricks Mosaic AI is one of our fastest-growing businesses, helping thousands of our customers democratize AI within their organizations. We’re building the infrastructure that powers the next generation of AI.

What it asks for · 5

  • 8+ years of experience in backend or infrastructure engineering
  • Strong programming skills in Scala, Go, or Python
  • Experience with distributed systems, scalable APIs, or cloud-native infrastructure
  • Familiarity with service-oriented architecture, deployment pipelines, and system observability
  • Strong product and ownership mindset — you care about building the right solution, not just any solution

Also a plus

  • Experience with real-time serving, ML infrastructure, or GPU orchestration
  • Exposure to platforms like SageMaker, Vertex AI, or Azure ML
  • Contributions to OSS projects like MLflow, PyTorch, Ray, vLLM, SGLang
  • Built developer platforms or internal tools supporting AI workflows

What the job covers

  • Build LLM infrastructure powering trillions of tokens per week for customers through partner models (OpenAI, Anthropic, Gemini) and self hosted models (Qwen, GPT-OSS, Llama)
  • Improve reliability, latency, and efficiency of distributed AI workloads
  • Collaborate with platform, infra, and ML teams to deliver seamless end-to-end experiences
  • Shape how developers and data scientists build and interact with AI on Databricks

Tools and skills named

Models & research
  • Machine learning3×
  • GPU
  • LLM
  • PyTorch
Cloud & infra
  • Azure
  • Distributed systems
  • Observability
Data
  • Databricks3×
Languages
  • Go
  • Python
  • Scala
Product & design
  • User experience

Words the posting leans on

  • infrastructure8×
  • data6×
  • platform5×
  • customers4×
  • experience4×
  • model4×
  • build3×
  • building3×
  • deep2×
  • developer2×
  • distributed2×
  • engineering2×
  • improve2×
  • next2×
  • powers2×
  • product2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched August 24, 2026 and last changed by Databricks on August 18, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.