Senior Software Engineer, Accelerated Delivery

Responsibilities

• Design and build continuous deployment and rollout infrastructure that safely ships changes across Snowflake’s large-scale, multi-cloud production environment.
• Build and evolve platform capabilities for progressive delivery, including staged rollouts, canarying, automated health checks, rollback controls, and guardrails that reduce blast radius during production change events.
• Improve engineering velocity by removing friction from release pipelines and replacing manual workflows with durable platform abstractions and automation.
• Build internal platforms that support large-scale release orchestration, application rollouts on Kubernetes, and broader production change workflows.
• Partner with product and infrastructure teams to make their services easier to deploy, validate, observe, and operate through well-designed platform capabilities.
• Implement and evolve deployment methodologies such as GitOps-inspired workflows, infrastructure as code, policy-driven automation, and progressive delivery patterns appropriate for Snowflake’s environment.
• Build systems that evaluate rollout health using metrics, logs, alerts, and operational signals to detect regressions early and trigger safe mitigation or rollback paths.
• Develop self-service developer tooling that enables teams across Snowflake to adopt safe deployment patterns without requiring deep release expertise.
• Build automation and guardrails that reduce operational toil and make production change workflows more consistent, scalable, and resilient.
• Design and build AI-assisted, agentic-driven, and increasingly autonomous release workflows that improve rollout intelligence, developer productivity, and deployment safety.

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, along with Python, Bash, or similar scripting languages.
• Experience with distributed systems, infrastructure automation, CI/CD pipelines, and cloud environments.
• Data-driven mindset and experience using observability platforms such as Prometheus, Datadog, or Grafana to evaluate system and rollout health.
• Deep care about safe production rollouts, developer experience, minimizing blast radius, and building systems that make the right operational path the easiest one.
• Enjoy building internal platforms and self-service systems that improve developer productivity across a large engineering organization.
• Combined software engineering and DevOps mindset to design, build, and continuously improve large-scale delivery platforms in production.
• Excitement about applying AI and intelligent automation to release operations, deployment safety, and autonomous workflows.

Nice-to-Haves

• Experience applying AI and intelligent automation to release operations, deployment safety, and autonomous workflows.