# Staff Software Engineer- Databricks AI

**Company**: Databricks
**Location**: Bengaluru
**Experience**: staff
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8926498002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_5c2d06c6-747

## Description

At Databricks, we help enterprises build ML models and AI agents to deliver high-quality AI to production quickly.

As a Staff Software Engineer and founding member of the Bengaluru team, you'll be the team's technical lead, setting the platform strategy and architecture, driving alignment with partner teams, and leading the team to deliver a world-class MLOps and LLMOps platform.

The impact you will have:

- Define the platform strategy and long-term architecture.

- Lead engineering efforts from design to production rollout, with high standards for performance, correctness, and reliability.

- Solve hard problems in ingesting and querying traces, metrics, and artifacts at scale, and in evaluating AI agents in production.

- Align product, research, and engineering teams across sites on technical direction and trade-offs.

- Shape APIs and developer experiences that make it easy for customers to ship AI.

- Mentor senior engineers through design reviews and technical discussions.

- Represent the team externally through blog posts, talks, and open-source contributions to popular AI frameworks.

What we look for:

- BS (or higher) in Computer Science, or a related field.

- 10+ years of experience developing large-scale distributed systems, scaling infrastructure, or building platforms and developer tools for other teams.

- Strong foundation in algorithms, data structures, and system design.

- Strong experience with backend technical stacks such as Scala or Java.

- Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes.

- Engineering maturity in security, correctness, and operational excellence.

- Proven track record as a technical lead, driving architecture decisions and delivering complex, high-impact projects end-to-end.

- Ability to lead through influence across teams.

- Strong communication skills and a passion for mentoring engineers.

- Experience with ML or LLM systems is a plus.

Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

## Skills

### Required
- algorithms
- data structures
- system design
- Scala
- Java
- AWS
- Azure
- GCP
- Docker
- Kubernetes
- security
- correctness
- operational excellence

### Nice to have
- ML
- LLM

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8926498002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)