Sr. Software Engineer - Performance

At Databricks, we are seeking a Senior Software Engineer specializing in Performance to join our team. We develop and operate one of the largest scale software platforms, processing exabytes of data daily across millions of virtual machines. Our platform is critical to enabling data teams worldwide to solve the toughest problems through data and AI infrastructure.

As a performance engineer, you'll play a crucial role in evaluating and optimizing the performance of our products and features. You'll work across multiple teams to identify performance bottlenecks and implement solutions that maintain our platform's high standards of performance and reliability. The role involves setting performance targets, developing benchmarks, conducting competitive analysis, and performing deep-dive investigations to resolve performance issues.

The position requires expertise in performance analysis and software development, particularly in large-scale distributed systems. You'll be responsible for understanding the performance characteristics of various cloud services and computing resources, ensuring optimal solutions for customer demands. The role combines technical depth with collaborative skills, as you'll work closely with developers, field engineers, and customers to identify and resolve performance challenges.

Databricks offers a competitive compensation package including a base salary range of $166,000 to $225,000 USD, plus equity, annual performance bonus, and comprehensive benefits. We're committed to maintaining our position as an industry leader in data and AI technology, and we're looking for someone who shares our passion for pushing the boundaries of what's possible while maintaining enterprise-grade reliability and performance.

Join us in our mission to help organizations worldwide leverage data and AI to solve their most challenging problems. You'll be working with cutting-edge technology at scale, making a direct impact on how thousands of organizations process and analyze their data.