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Snowflake

Senior Software Engineer – Accelerated Delivery

Snowflake

Senior Software Engineer at Snowflake building continuous deployment infrastructure for multi-cloud production environments. Collaborating on large-scale engineering velocity improvements with a focus on developer productivity.

Posted 7/1/2026full-timeMenlo Park • California • 🇺🇸 United StatesSenior💰 $200,000 - $287,500 per yearWebsite

Tech Stack

Tools & technologies
CloudDistributed SystemsGoGrafanaJavaKubernetesPrometheusPython

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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.

Benefits

Comp & perks
  • Please visit the job posting on the Snowflake Careers Site for salary and benefits information

ATS Keywords

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Hard Skills & Tools
GolangJavaC++PythonBashCI/CD PipelinesInfrastructure as CodeProgressive DeliveryRelease EngineeringDistributed Systems
Soft Skills
Data-Driven MindsetDeveloper Experience FocusProblem-Solving