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.
- 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.
More roles at Databricks
- Partner Engineer: Partner Intelligence, AI & AppsSan Francisco, California
- Manager, Forward Deployed EngineeringTokyo, Japan
- Staff Security Field EngineerRemote - California
- Sr. Product Manager - TechnicalNew York City, New York
- Partner Enablement Operations ManagerBengaluru, India; Mumbai, India
- Director, Field Engineering (CPG & Retail)United States
- Enterprise Account Executive - CMEGBoston, Massachusetts
- Staff Software Engineer- Foundation Model InferenceSan Francisco, California