Senior Software Engineer, Accelerated Delivery
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.
About the job
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.
Skills
Go, Java, C++, Python, Kubernetes, CI/CD, Prometheus, Datadog, Grafana, GitOps, Infrastructure As Code
Similar jobs
DevOps / SRE jobs
Skydio
San Mateo, CA
Build and improve cloud infrastructure, developer workflows, and internal tooling that make software development, testing, and releases more efficient and reliable. The role requires cloud architecture knowledge, CI/CD experience, Terraform and Bazel proficiency, and software development skills in Go, Python, or C++.
Anyscale
San Francisco, CA
Build and operate scalable control-plane and data-plane infrastructure for distributed AI workloads, including Ray cluster orchestration, scheduling, observability, and accelerator integration. Requires a bachelor's degree or equivalent experience, 3+ years of production coding, cloud-native expertise, Kubernetes, and Go/Python proficiency.
Onos Health
San Francisco, CA
Leads infrastructure and platform strategy for a production healthcare AI platform, owning AWS, reliability, disaster recovery, compliance, CI/CD, and secure AI-agent operations. Requires deep cloud and Terraform expertise, audit-cycle experience, and prior technical leadership.
Lightspark
Remote
The Production Engineer will build and operate secure, scalable, and reliable infrastructure and production services, while developing engineering frameworks and supporting on-call operations. The role requires 5+ years of production, site reliability, or DevOps experience and familiarity with AWS, Kubernetes, and Terraform.
Snowflake
Leads design, deployment, and operation of secure distributed cloud systems for public-sector and air-gapped environments. Requires active or obtainable TS/SCI clearance with polygraph, U.S. citizenship, and 7+ years of production experience.