Engineering Manager (Snowtrail)

• We’re hiring a talented Software Engineering Manager to lead the Snowtrail infrastructure team at Snowflake. Snowtrail is the infrastructure that enables Snowflake to deliver dedicated coverage for customer-specific workloads
• Its innovative approach allows Snowflake to precisely test and measure the impact of changes on individual customers, making it essential for ensuring the platform’s reliability, correctness, and performance
• Through query replay, Snowtrail helps us catch regressions early. By leveraging machine learning models to intelligently sample queries and workloads, we continuously optimize for both cost and performance. Evolving Snowtrail to incorporate new engine features while improving scalability, efficiency, and reliability is central to our continued success

Benefits

• Comprehensive health insurance plans
• Health savings accounts
• Robust retirement plans
• Life and disability insurance
• Weekly online lunch and learns
• Virtual workout classes
• Ergonomic work-from-home equipment
• On-demand mental health and wellness programs
• Fertility benefits and family planning resources
• Generous time-off and various leave plans
• Onsite and Remote Work
• Employee discounts and pre-tax selections
• New hire equity + Employee Stock Purchase Plan (ESPP)
• Quarterly bonus or commission program- Ability to collaborate well across teams, build high-performing teams and mentor junior engineers
• Ability to work on-site at our San Mateo, CA or Bellevue, WA offices
• Fluency in SQL, Java, C++, Python or Go
• Excellent interpersonal communication skills
• Excellent problem solving skills, and strong CS fundamentals including data structures, algorithms, and distributed systems
• 10+ years industry experience designing and building distributed data systems
• Strong passion and proven track record for shipping quality software in high code velocity environments
• Building at-scale telemetry pipeline or query replay pipeline
• Building or testing database query engine
• Operationalizing Machine Learning models
• Multi-tenant systems, with focus on reliability, performance, isolation, security and scalability
• Solid understanding of shipping end to end customer experiences across clients including browsers, apps and drivers
• A track record of leading distributed technical teams