D
Bengaluru, KA, India
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Salary not disclosed
Check market pay for comparable Software Engineer roles before applying.
Role overview
Job description
At Databricks, we are passionate about helping enterprises that build ML models and AI agents deliver high-quality AI to production fast. Founded by engineers, and customer obsessed, we leap at every opportunity to tackle technical challenges, from designing great developer experiences to building reliable systems at global scale. And we're only getting started. Our team builds the MLOps and LLMOps platform that millions of AI developers and ML practitioners use to track model training experiments, manage model registry, observe and evaluate AI agents. We're the team behind MLflow , the most widely adopted open-source AI engineering platform with more than 30 million package downloads per month, and its managed service used by thousands of organizations globally. We're now expanding to Bengaluru, India, and building our first AI engineering team there from scratch to work on this platfor
…About this listing
- Source: Databricks's official careers site (via Greenhouse) · last confirmed on the source 3 Nov 2026
- Posted 2 Nov 2026
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Role market pulse
How Software Engineer demand looks in India
Live jobs
395
Posted 30d
190
30d movement
+34.8%
Remote share
4.8%
Salary listed
7.3%
Salary trend 1Y
Not enough history
What they are looking for
Skills & requirements
Qualification
Develop evaluation and monitoring capabilities, such as LLM judges and quality metrics, that catch regressions before they reach production; 5+ years of experience developing large-scale distributed systems, scaling infrastructure, or building platforms and developer tools for other teams; Experience with ML or LLM systems is a plus; government license for such positions, and Employer may decline to proceed with an applicant on this basis alone
Department · Engineering - Pipeline
Hiring company
Databricks
Technology
Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data + AI Platform.
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