Senior Software Engineer, Engineering Productivity

About the role

Snowflake is hiring a Senior Software Engineer, Engineering Productivity for its Observe team in Zurich. Observe is an AI-powered observability platform built on the Snowflake AI Data Cloud, ingesting and storing logs, metrics, traces and events on a scalable data lakehouse. The role empowers engineering teams by building scalable developer tools, robust build and test infrastructure and automated release systems, at the intersection of developer experience, build systems, AI agent systems and cloud infrastructure.

Key responsibilities

• 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 speed up developer feedback loops.
• Improve developer velocity and tooling, including local debugging and 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.

Required profile

• 5+ years of software engineering experience focused on engineering productivity, developer tooling, agentic workflows, build systems or release engineering.
• Proven experience building and maintaining CI/CD systems, build orchestration tools 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 and developer velocity metrics.

Required skills

• CI/CD systems and build orchestration tools (e.g. Bazel, Nix, Go build tooling)
• Containerization and cloud infrastructure
• Go, Python, Java or C++

Bonus points: backend application development, open-source developer tools, Kubernetes or infrastructure-as-code, observability platforms, telemetry pipelines or distributed tracing and logging (e.g. OpenTelemetry, Prometheus, Jaeger), and open-source contributions to observability, data infrastructure or developer productivity projects.