Staff Software Engineer- Databricks AI
Databricks · Posted Nov 2
Data, analytics, machine learning, and generative AI intelligence platform services
Get a personal compatibility score
Add a resume for personal matches
About the role
Databricks builds the MLOps and LLMOps platform used by millions of AI developers and ML practitioners to track model training experiments, manage model registries, and observe and evaluate AI agents — the team behind MLflow and its managed service. The company is expanding to Bengaluru and building its first AI engineering team there from scratch. As a Staff Software Engineer and founding member of the Bengaluru team, this role is the technical lead, setting platform strategy and architecture, driving alignment with partner teams, and staying hands-on to deliver the platform.
What you will do
- 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.
Skills used in this role
What the employer is looking 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 and support
- Compensation and benefits are detailed in the job posting
About Databricks
Databricks is a data and artificial intelligence company that provides a unified Data Intelligence Platform built on a lakehouse architecture. The platform combines data engineering, data warehousing, machine learning, and generative AI to help organizations manage and scale their data assets natively across major cloud providers. Founded by the original creators of Apache Spark, Databricks enables thousands of enterprises worldwide to power advanced analytics, business intelligence, and autonomous AI agents.
- Industry
- Data and AI Platform Software
- Company size
- 17300+ employees
- Founded
- 2013
- Location
- San Francisco, California, USA
- Funding stage
- Private Company
Funding
Private Company · $25.2B raised
- 2026-08-13Series L$5.0B
Leadership
Co-founder and Chief Executive Officer
Co-founder and Chief Technology Officer
Co-founder and Executive Chairman
Chief Financial Officer
Co-founder and Chief Architect
Recent coverage
Databricks Newsroom
Databricks Grows >80% YoY, Surpasses $7B Revenue Run-Rate, Scales Lakebase, Genie, and Unity AI Gateway2026-08-13
Forbes
Databricks Hits $190 Billion Valuation As CEO Ali Ghodsi Claims AGI Has Already Arrived2026-08-13
Databricks Newsroom
Databricks Launches Genie One: All-New Agentic Coworker for Every Team2026-06-16
Bloomberg
Context Needed to Reach AGI, Says Databricks CEO2026-06-16