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Databricks
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Senior Software Engineer - Data + AI Observability
ICT
Company shared salary
NA
Market rate
₹600,000–₹1,000,000/mo (₹7,200,000–₹12,000,000/yr)
Based on similar roles (title + domain + location).
About the Company
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers - and customer obsessed - we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on Databricks Lakehouse Platform to unify their data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe.
Responsibilities
- ● Lead the development of products that customers use to get insights on their AI and data workloads, optimize their performance, and lower costs
- ● Build data infrastructure that processes billions of entries daily, deploys to over 65 cloud regions worldwide, and enables some of the world's biggest companies to conduct their DevOps, FinOps, SecOps and AIOps jobs
- ● Lead the technical development of product milestones from refinement of requirements, through execution, operation, and iterating with the broader product development team and partner teams to ensure product success
- ● Develop systems that make it simple for customers to answer questions about their Databricks environment by providing a reliable and timely interface for observability
- ● Make it easy for frameworks teams across Databricks to publish their data to customers
- ● Effectively lead large milestones from the observability roadmap, contribute to the long-term vision and requirements development for Databricks products
- ● Mentor other engineers towards contributing to the product and their career growth
- ● Optimize the scalability and cost of large data pipelines towards reducing costs for customers and opening up new product opportunities
- ● Drive integration with popular tools and services in the broader data warehousing ecosystem
Requirements
- ● 6+ years of production level experience in one of: Java, Scala, Python, C++, or similar language
- ● Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes
- ● Proven track record in architecting, developing, deploying, and operating components of large scale distributed systems
- ● Strong software engineering maturity: security, correctness, engineering excellence, operational excellence
- ● Platform mindset: effective building platforms for other software teams, iterating quickly to reduce friction to adoption, advocating for platform use
- ● Cross-functional skills, as we have platform customers internal at Databricks as well as external customers
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