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Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud, engineered for scale. It ingests and stores logs, metrics, traces, and events on an open, scalable data lakehouse using open formats like Apache Iceberg at dramatically lower cost. 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 a Senior Software Engineer in Engineering Productivity, 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.
Key responsibilities include:
- 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 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
Snowflake is seeking AI-native thinkers who treat AI as a high-trust collaborator and possess an innate curiosity. The company values low-ego individuals who thrive in dynamic, fast-moving environments with an experimental mindset.
REQUIREMENTS:
- 5+ years of software engineering experience with 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 QUALIFICATIONS:
- 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 (e.g., OpenTelemetry, Prometheus, Jaeger)
- Open-source contributions to observability, data infrastructure, or developer productivity projects
