Senior Software Engineer - Data + AI Observability

P-1385

Companies are investing billions of dollars into developing and deploying AI and the data platforms that enable it. But do they know what is happening?

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. And we're only getting started.

As a Senior Software Engineer on the Customer Foresight Team , you'll lead the development of products that customers use to get insights on their AI and data workloads, optimize their performance, and lower costs. You will build data infrastructure that processes billions of entries daily, deploy to over 65 cloud regions worldwide, and enable some of the world's biggest companies to conduct their DevOps, FinOps, SecOps and AIOps jobs.

This role requires leading 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.

The impact you will have :

• 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

What we look for :