Reach Security, a pioneering company in self-driving cybersecurity, is seeking Data Platform Engineers to join their innovative team. The company leverages generative AI to revolutionize organizational security stack management, ensuring optimal security posture with existing products.
As a Data Platform Engineer, you'll be instrumental in designing, building, and managing the infrastructure that powers robust data pipelines and analytic query engines. Working with cutting-edge technologies like Trino (Presto), Redshift, BigQuery, and Apache Iceberg, you'll develop scalable solutions supporting advanced analytics and reporting.
This role offers a unique opportunity as an early team member to shape the company's backend infrastructure from day one. You'll establish engineering best practices, balance technical and business priorities, and drive innovation in delivering value to users. Your expertise will be crucial in designing architectures, providing technical feedback, and ensuring software maintainability and reliability.
The ideal candidate brings 3+ years of experience in data platform engineering, demonstrating proficiency in analytic query engines, cloud platforms, and Python development. You should excel in problem-solving, particularly in complex data scenarios requiring performance optimization. Strong communication skills and the ability to work independently in a fast-paced environment are essential.
The position offers competitive compensation, including equity, comprehensive health benefits, and remote work flexibility. This is an excellent opportunity for a motivated engineer to make a significant impact in a growing cybersecurity company while working with cutting-edge AI technology.