Staff Software Engineer - Parameters

Snowflake Snowflake · Data AI · WA-Bellevue, United States · Engineering

Staff Software Engineer to lead, build, and improve Snowflake’s feature flagging and experimentation platform. This platform is critical for safely and performantly controlling the enablement and disablement of new features, especially with the accelerating pace of code and feature generation driven by an AI-powered development lifecycle. The role requires deep experience in distributed systems, cloud services, and leading complex technical projects.

What you'd actually do

  1. Lead, build and improve Snowflake’s feature flagging and experimentation platform.
  2. Work on complex framework and code which are used at various places in Snowflake’s engineering stack to control feature flags.
  3. Build a deep understanding of Snowflake’s infrastructure and services.
  4. Demonstrate both infrastructure and software engineering expertise by contributing to the team charter to build and operate highly scalable, resilient, and performant infrastructure.
  5. Work on large and complex projects that build frameworks, platforms, tools, and automation which will serve and enable the various other engineering teams at Snowflake.

Skills

Required

  • 8+ years of experience in software engineering with a strong focus on distributed systems
  • Deep experience building and operating large scale cloud services
  • Strong programming skills in languages such as Java, Scala, C++, or Python
  • Solid understanding of system performance, debugging, and reliability engineering principles
  • Experience with cloud platforms such as AWS, Azure, or GCP
  • Proven ability to lead complex technical projects and influence architecture decisions
  • Strong problem solving skills and ability to work in a fast paced environment
  • Strong sense of ownership and desire to build great tools & frameworks for other engineers.
  • Tremendous attention to detail and ability to build reliable and scalable software systems.
  • Effective communication and collaboration skills.
  • A strong work ethic, ability to self-manage and drive project success, and a passion for problem-solving.
  • Proven ability to lead and execute projects that begin with incomplete information or ambiguity requiring a need to drive clarity and consensus with various stakeholders.

What the JD emphasized

  • accelerating pace of code and feature generation, driven by an AI-powered development lifecycle
  • rapidly scale and evolve
  • complex infrastructure challenges
  • complex framework and code
  • large and complex projects
  • complex technical projects