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Snowflake

Runs a cloud platform for business data and AI

Senior Software Engineer - Engineering Productivity

Software EngineeringConfirmed live in the last 24 hours
Full-timeZürich, SwitzerlandNo salary listedHybrid

About the Job

Requirements

  • At least 5 years of software engineering experience focused on engineering productivity, developer tooling, agentic workflows, build systems, or release engineering.
  • Experience building and maintaining continuous integration and continuous delivery systems, build orchestration tools such as Bazel, Nix, or Go build tooling, and test automation infrastructure.
  • Proficiency in server-side languages such as Go, Python, Java, or C++.
  • Hands-on experience with containerization, cloud infrastructure, and release automation.
  • A strong interest in developer experience, developer velocity metrics, and building developer-facing products.

Responsibilities

  • Design, build, and maintain internal tooling, continuous integration and continuous delivery pipelines, and AI agent-based developer workflows.
  • Build and scale test infrastructure and test execution frameworks to accelerate developer feedback loops.
  • Improve developer velocity, developer and agent environment tooling, and local debugging and testing workflows.
  • Partner with development, infrastructure, and site reliability engineering teams to streamline release engineering, deployment reliability, and artifact management.
  • Monitor and optimize build times, test flakiness, and continuous integration performance across the engineering organization.

Desired Qualifications

  • Experience in backend application development.
  • Experience with open-source developer tools, Kubernetes, or infrastructure as code.
  • Experience with observability platforms, telemetry pipelines, or distributed tracing and logging systems such as OpenTelemetry, Prometheus, or Jaeger.
  • Open-source contributions to observability, data infrastructure, or developer productivity projects.

About the Company

Snowflake

Runs a cloud platform for business data and AI

Snowflake runs a cloud platform where businesses store and analyze data, build AI tools, and share information under common access controls. Its platform separates stored data from computing resources, letting teams run different workloads without maintaining database servers. Analysts query business records with SQL, while developers use Python and other languages to build applications and train models against the same data; Cortex connects AI models to company records so teams build assistants and automate analysis. Customers pay for storage and computing usage across Amazon, Microsoft, and Google infrastructure. Snowflake was founded in 2012 and has its headquarters in Menlo Park, California.

Company size
10,001+
Company stage
IPO
Headquarters
Menlo Park, CA
Founded
2012

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