Databricks

Staff Backend Software Engineer- (AI Platform)

Databricks · San Francisco, California

Posted about 2 months ago

or apply directly on Databricks's site. We never take the application ourselves.

Is this posting real?

This role has been open
66 days
Databricks's roles stay open a median of 66 days
Reposted
No
Salary listed
No
0% of Databricks's roles list one
Ghost-job risk at Databricks
high
741 stale, 25 reposted of 879 open
Hiring momentum
1112 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-08

Measured from postings appearing on and disappearing from Databricks's own greenhouse board since 2026-08-03. Full hiring picture for Databricks.

About this role

As a Staff Backend Software Engineer on the AI Platform team at Databricks, you will be responsible for building the infrastructure that supports various AI applications and services. Your work will focus on improving the reliability and efficiency of distributed AI workloads, collaborating with multiple teams to enhance the user experience for developers and data scientists. You will also engage in shaping the future of AI infrastructure, contributing to flagship offerings like MLflow and AI Gateway.

Our read on this posting2.2out of 5
benefits
1/5
freshness
1/5
career value
5/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Databricks as an employer.

What you need

  • 5+ 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

Nice to have

  • 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, or Ray
  • Built developer platforms or internal tools supporting AI workflows

Worth weighing

  • Local pay range is $166,000 — $225,000 USD, but actual compensation may vary based on individual factors
  • No specific benefits listed in detail; general mention of comprehensive benefits and perks
  • Role involves working on cutting-edge AI infrastructure, which may involve high visibility and agency but also high expectations

Summarised from Databricks's posting. Read the full original.

Listed by Databricks on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.

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