Senior Software Engineer, Accelerated Delivery

Snowflake•Menlo Park, CA

2d•$200,000 - $287,500

About The Position

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake’s Release Engineering team builds and operates the systems that safely deliver infrastructure, platform, and product changes to production at global scale. We own the release platforms, rollout orchestration, and safety mechanisms that allow engineering teams across Snowflake to ship quickly while minimizing operational risk. Our mission is to make production deployments fast, safe, self-service, increasingly autonomous, and augmented by AI-driven intelligence and automation. This role sits at the intersection of developer productivity, distributed systems reliability, and large-scale multi-cloud infrastructure orchestration. At Snowflake, Release Engineering is a platform engineering function focused on building the systems, abstractions, and automation that make software delivery safe, scalable, and efficient across the company.

Requirements

Have experience building or operating continuous deployment, release engineering, or production change platforms at scale.
Have worked with Kubernetes-based systems and understand how to safely roll changes across distributed production environments.
Have strong software engineering skills in Golang, Java, C++, or similar systems languages, along with Python, Bash, or similar scripting languages.
Have experience with distributed systems, infrastructure automation, CI/CD pipelines, and cloud environments.
Bring a data-driven mindset and have experience using observability platforms such as Prometheus, Datadog, or Grafana to evaluate system and rollout health.
Care deeply 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.
Apply a combined software engineering and DevOps mindset to design, build, and continuously improve large-scale delivery platforms in production.
Are excited about applying AI and intelligent automation to release operations, deployment safety, and autonomous workflows.

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.