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Senior Software Engineer – Accelerated Delivery
SnowflakeSenior 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 & technologiesCloudDistributed 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
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
GolangJavaC++PythonBashCI/CD PipelinesInfrastructure as CodeProgressive DeliveryRelease EngineeringDistributed Systems
Soft Skills
Data-Driven MindsetDeveloper Experience FocusProblem-Solving