Senior Software Engineer, Enterprise

Posted 10 Days Ago
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Zürich, CHE
Hybrid
Senior level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Database • Analytics
Let's build a world where data and AI turn possibilities into reality.
The Role
Build scalable developer tools, CI/CD pipelines, test infrastructure, AI-agent workflows, and automated release systems. Improve developer environments, debugging workflows, build performance, test reliability, deployment reliability, and artifact management while partnering with engineering, infrastructure, and SRE teams. The role requires strong software engineering experience with build systems, test automation, cloud infrastructure, release automation, and server-side programming languages.
Summary Generated by Built In

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lakehouse, using open formats like Apache Iceberg, at dramatically lower cost. A dynamic Context Graph and chat-based AI SRE provide rich context and automated workflows so teams can move from detection to root cause of production issue and resolution 10x faster.

Leading engineering teams at companies like Capital One, Topgolf, and Dialpad rely on Observe to troubleshoot hundreds of terabytes of telemetry daily while maintaining reliability at enterprise scale. As part of Snowflake, Observe combines startup-style ownership and velocity with the global reach, operational excellence, and ecosystem of one of the world’s leading data platforms.

The Team:

We are hiring a Senior Software Engineer, Engineering Productivity for our Engineering team at Observe by Snowflake.

As part of Engineering Productivity at Observe by Snowflake, you will empower engineering teams across the organization by building scalable developer tools, robust build and test infrastructure, and automated release systems. Working at the intersection of developer experience, build systems, AI agent systems, and cloud infrastructure, you will play a critical role in driving engineering velocity and reliability at scale.

In this role your will:
  • Design, build, and maintain internal tooling, CI/CD 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, as well as local debugging/testing workflows

  • Partner with development, infrastructure, and SRE teams to streamline release engineering, deployment reliability, and artifact management

  • Monitor and optimize build times, test flakiness, and CI performance across the engineering organization

Qualifications:
  • 5+ years of software engineering experience with a strong focus on engineering productivity, developer tooling, agentic workflows, build systems, or release engineering

  • Proven experience building and maintaining CI/CD systems, build orchestration tools (e.g., Bazel, Nix, Go build tooling), and test automation infrastructure

  • Strong proficiency in server-side languages such as Go, Python, Java, or C++

  • Hands-on experience with containerization, cloud infrastructure, and release automation

  • Deep interest in developer experience, developer velocity metrics, and building developer-facing products

Bonus Points:
  • 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 (e.g., OpenTelemetry, Prometheus, Jaeger)

  • Open-source contributions to observability, data infrastructure, or developer productivity projects

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Skills Required

  • 5+ years of software engineering experience focused on engineering productivity, developer tooling, agentic workflows, build systems, or release engineering
  • Experience building and maintaining CI/CD 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
  • Strong interest in developer experience, developer velocity metrics, and developer-facing products
  • Backend application development experience
  • 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

Snowflake Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake.

  • Fair & Transparent Compensation — Pay is widely viewed as competitive and aligned with market value, with “fair pay” and top-tier total compensation frequently cited for engineering and technical roles.
  • Equity Value & Accessibility — Equity and ESPP participation are standout components of total compensation, with robust RSU grants often highlighted as a major advantage, particularly in engineering.
  • Healthcare Strength — Health coverage is described as strong and comprehensive, complemented by wellness resources and related programs.

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The Company
HQ: Bozeman, MT
9,023 Employees
Year Founded: 2012

What We Do

Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data. We're on a mission to empower every enterprise to achieve its full potential through data and AI.

Why Work With Us

Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.

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