# Senior Software Engineer, Accelerated Delivery

**Company:** [Snowflake](https://hotfix.jobs/companies/snowflake)
**Location:** Menlo Park, CA
**Role:** DevOps / SRE
**Salary:** $200k – $288k/yr
**Experience:** 5+ years
**Skills:** Go, Java, C++, Python, Kubernetes, CI/CD, Prometheus, Datadog, Grafana, GitOps, Infrastructure As Code
**Posted:** 2026-07-01

> Build and evolve continuous deployment, progressive delivery, and AI-augmented release platforms for safe, large-scale multi-cloud rollouts on Kubernetes at Snowflake. Requires strong systems programming (Golang/Java/C++), Kubernetes, observability, and DevOps experience.

## Job Description

## 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.

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