# Sr. Software Engineer- Backend

**Company**: Databricks
**Location**: New York City, New York
**Experience**: senior
**Job type**: full-time
**Salary**: $165,300-$219,675 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8379331002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_41aa2d0f-0ef

## Description

As part of the AI Platform team at Databricks, you'll build the substrate that powers data apps, AI agents, model training, model serving, and vector search.

You will:

- Build infrastructure for flagship offerings like MLflow, AI Gateway, Databricks Apps, Agent Framework, Agent Bricks, and Foundation Model APIs

- 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

Requirements:

- 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

Bonus points for:

- 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

The pay range for this role is $165,300-$219,675 USD.

## Skills

### Required
- Scala
- Go
- Python
- distributed systems
- scalable APIs
- cloud-native infrastructure
- service-oriented architecture

### Nice to have
- real-time serving
- ML infrastructure
- GPU orchestration
- SageMaker
- Vertex AI
- Azure ML
- OSS projects

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8379331002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)