Databricks is seeking a Senior Software Engineer to join their Customer Foresight Team, focusing on Data + AI Observability. This role is crucial in developing products that provide insights on AI and data workloads, helping customers optimize performance and reduce costs. The position involves building data infrastructure that processes billions of entries daily and deploys across 65+ cloud regions worldwide.
The ideal candidate will lead technical development of product milestones, from requirements refinement through execution and operation. They will be responsible for developing systems that simplify customer interaction with their Databricks environment, enabling framework teams to publish data effectively, and optimizing large data pipelines for scalability and cost efficiency.
Databricks, as the leading data and AI company, serves over 10,000 organizations worldwide, including major corporations like Comcast, Condé Nast, and Grammarly. The company is at the forefront of unifying and democratizing data, analytics, and AI, making this role an opportunity to impact how some of the world's largest companies manage their data operations.
The position requires strong technical expertise with 6+ years of experience in languages like Java, Scala, or Python, combined with cloud technology knowledge. The role demands someone who can architect and operate large-scale distributed systems while maintaining high standards for security, correctness, and operational excellence. The ideal candidate will also possess strong cross-functional skills, as they'll work with both internal Databricks teams and external customers.
This is an excellent opportunity for a senior engineer who wants to work on cutting-edge data and AI infrastructure while making a significant impact on how companies worldwide observe and optimize their data workloads.