8 days ago
Zürich, SwitzerlandSenior
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 accelerate developer feedback.
- Improve developer and agent environment tooling, 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.
Requirements
- 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, and test automation infrastructure.
- Strong proficiency in a server-side language 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 is a bonus.
- Experience with Kubernetes, infrastructure-as-code, observability platforms, telemetry pipelines, or distributed tracing and logging systems is a bonus.
- Open-source contributions to observability, data infrastructure, or developer productivity projects are a bonus.
Benefits
- Salary and benefits information is provided through the Snowflake Careers Site for jobs located in the United States.
About Snowflake
Snowflake builds a cloud-native data platform used by enterprises to store, integrate, share, and analyze data across AWS, Azure, and Google Cloud. Its core products span data warehousing, data lakes, data engineering, and governed data sharing, sold via consumption-based subscriptions. Founded in 2012 and publicly traded on the NYSE (SNOW) following a 2020 IPO, Snowflake supports analytics and data application workloads across industries.