Base Salary
$200k - $288k/yr
Responsibilities
- Design and build continuous deployment and rollout infrastructure for Snowflake’s large-scale multi-cloud production environment.
- Develop progressive delivery capabilities including staged rollouts, canarying, automated health checks, rollback controls, and safety guardrails.
- Build internal platforms for release orchestration, Kubernetes application rollouts, and production change workflows.
- Improve release pipelines and replace manual workflows with durable platform abstractions and automation.
- Partner with product and infrastructure teams to improve deployment, validation, observability, and operational workflows.
- Build systems that evaluate rollout health using metrics, logs, alerts, and operational signals to detect regressions and trigger mitigation or rollback.
- Develop self-service developer tooling and AI-assisted, agentic, increasingly autonomous release workflows.
Requirements
- Experience building or operating continuous deployment, release engineering, or production change platforms at scale.
- Experience with Kubernetes-based systems and safely rolling changes across distributed production environments.
- Strong software engineering skills in Golang, Java, C++, or similar systems languages, plus Python, Bash, or similar scripting languages.
- Experience with distributed systems, infrastructure automation, CI/CD pipelines, and cloud environments.
- Experience using observability platforms such as Prometheus, Datadog, or Grafana to evaluate system and rollout health.
- Interest in safe production rollouts, developer experience, minimizing blast radius, internal platforms, self-service systems, and AI-assisted release operations.
About Snowflake
**Snowflake is proud to be the Official Data Collaboration Provider for LA28 and Team USA.** Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud.