Senior Software Engineer - Production Control Plane

Snowflake Snowflake · Data AI · CA-Menlo Park, United States · Engineering

Senior Software Engineer for Snowflake's Production Control Plane team, focusing on building and scaling cloud infrastructure deployment, provisioning, and lifecycle management. The role involves technical leadership, mentoring, and applying infrastructure and software engineering principles to a highly scalable platform. While the company emphasizes an AI-native mindset and the use of AI tools in development, the core responsibilities are in platform engineering and cloud infrastructure, not direct AI/ML model development.

What you'd actually do

  1. Build a deep understanding of Snowflake’s infrastructure and services.
  2. Apply both infrastructure and software engineering to deliver a highly scalable, resilient, and performant platform.
  3. Provide technical leadership on large, complex projects that span infrastructure, platforms, tools, and automation in the cloud.
  4. Champion platform adoption to meet business goals across partner teams.
  5. Lead and mentor more junior engineers.

Skills

Required

  • BS/MS in Computer Science or equivalent experience
  • 7+ years of software engineering experience
  • 3+ years in cloud computing (AWS, Azure, or GCP) or platform engineering
  • Ownership mindset, self-direction, and a passion for solving complex problems
  • Strong software engineering fundamentals
  • Proficiency in one or more languages: Go, Java, Python, or C++
  • Daily operational experience with AI-driven software development (Cursor, Claude Code, or equivalent)
  • Expertise in infrastructure-as-code frameworks (Terraform, Pulumi, CloudFormation, or similar)
  • Expertise in CI/CD systems (Github Actions, Jenkins, or similar)
  • Strong distributed-systems troubleshooting and incident resolution skills

Nice to have

  • Proficiency with Kubernetes, especially on the platform side

What the JD emphasized

  • 7+ years of software engineering experience
  • 3+ years in cloud computing (AWS, Azure, or GCP) or platform engineering
  • Daily operational experience with AI-driven software development