Build the future of the AI Data Cloud. Join the Snowflake team. The Snowflake AI Data Cloud is growing at an exceptional pace- adding innovative new features and capabilities as well as continuing to scale the service across multiple clouds, many exabytes of data, and the entire globe. Snowflake AI Data Cloud is feature rich, highly reliable, scalable and performant. Our test frameworks need to scale ahead of our services to meet the testing needs. We invest in innovations in each layer of our test framework - unit test, integration test, regression test, performance test and Snowtrail tests. Together, these teams build product quality systems, tools, and infrastructure that enable our engineers to focus on delivering high quality features to our customers fast. For example, Query replay using Snowtrail allows us to catch regressions early. Using Machine Learning models to sample queries and workloads allows us to optimize for cost and performance. Evolving the Snowtrail infrastructure to integrate new engine features, to be more performant, scalable and reliable is key to our success. We are actively seeking a Director of Engineering to lead these growing teams. If you are a passionate and influential leader who can lead a team of diverse, smart, and driven engineers to rapidly deliver high quality developer products while successfully balancing business requirements and priorities, we are looking for you. In this role you will get to: Provide strategic and day-to-day leadership and oversight of the Test Framework teams while actively driving the recruiting and hiring of top SWE talent Apply your extensive software engineering experience, to help the teams build best in industry systems and tools for our internal customers. Collaborate with engineering and product leaders to define and execute long term strategies for engineering systems and tools. Lead/contribute to engineering efforts from planning and organization to execution and delivery to solving complex engineering problems in the internal tools space. Design, roll out and drive adoption of global test automation practices Up-level our product quality through more comprehensive testing in the areas of performance, availability, security and privacy Manage, Grow, and Mentor the teams that have the most day to day impact on the success of the overall Engineering organization. On day one we will expect you to have: 10+ years of Engineering Leadership experience with a core focus in either large scale distributed systems or full stack SaaS services 5+ years of hands-on technical leadership experience in one or more of: engineering productivity, developer infrastructure, tooling, quality engineering, CI/CD, SDLC, etc Strong passion and proven track record for shipping quality software in high code velocity environments Excellent problem solving skills, and strong CS fundamentals including data structures, algorithms, and distributed systems. Ability to collaborate well across teams, build high-performing teams and mentor engineering managers. Excellent interpersonal communication skills. Proven ability to align a vision, lead, and measure success through data: Metrics, KPIs, etc. Expertise working in the data warehousing/database/analytics product space or relevant large scale distributed systems is a plus Hands-on experience working with cloud technologies (GCP, AWS and/or Azure) or related systems infrastructure preferred. Expertise with tools such as Git, JIRA, Jenkins, Kubernetes, etc a plus. Bachelors in Computer Science or related majors required. Ability to work on-site at our Menlo Park, CA or Bellevue, WA offices. BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING : Building at-scale test frameworks Building or testing database query engines Operationalizing Machine Learning models<