{"schemaVersion":"jobsearcher.job.v1","id":"b89a91134ba1164800e9a11d","url":"https://jobsearcher.com/jobs/b89a91134ba1164800e9a11d","canonicalUrl":"https://jobsearcher.com/jobs/b89a91134ba1164800e9a11d","title":"Senior Software Engineer, Accelerated Delivery","description":"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.\r\nSnowflake'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.\r\nThis 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.\r\nIn this role, you will\r\nDesign and build continuous deployment and rollout infrastructure that safely ships changes across Snowflake's large-scale, multi-cloud production environment.\r\nBuild 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.\r\nImprove engineering velocity by removing friction from release pipelines and replacing manual workflows with durable platform abstractions and automation.\r\nBuild internal platforms that support large-scale release orchestration, application rollouts on Kubernetes, and broader production change workflows.\r\nPartner with product and infrastructure teams to make their services easier to deploy, validate, observe, and operate through well-designed platform capabilities.\r\nImplement and evolve deployment methodologies such as GitOps-inspired workflows, infrastructure as code, policy-driven automation, and progressive delivery patterns appropriate for Snowflake's environment.\r\nBuild systems that evaluate rollout health using metrics, logs, alerts, and operational signals to detect regressions early and trigger safe mitigation or rollback paths.\r\nDevelop self-service developer tooling that enables teams across Snowflake to adopt safe deployment patterns without requiring deep release expertise.\r\nBuild automation and guardrails that reduce operational toil and make production change workflows more consistent, scalable, and resilient.\r\nDesign and build AI-assisted, agentic-driven, and increasingly autonomous release workflows that improve rollout intelligence, developer productivity, and deployment safety.\r\nYou may be a strong fit if you\r\nHave experience building or operating continuous deployment, release engineering, or production change platforms at scale.\r\nHave worked with Kubernetes-based systems and understand how to safely roll changes across distributed production environments.\r\nHave strong software engineering skills in Golang, Java, C++, or similar systems languages, along with Python, Bash, or similar scripting languages.\r\nHave experience with distributed systems, infrastructure automation, CI/CD pipelines, and cloud environments.\r\nBring a data-driven mindset and have experience using observability platforms such as Prometheus, Datadog, or Grafana to evaluate system and rollout health.\r\nCare deeply about safe production rollouts, developer experience, minimizing blast radius, and building systems that make the right operational path the easiest one.\r\nEnjoy building internal platforms and self-service systems that improve developer productivity across a large engineering organization.\r\nApply a combined software engineering and DevOps mindset to design, build, and continuously improve large-scale delivery platforms in production.\r\nAre excited about applying AI and intelligent automation to release operations, deployment safety, and autonomous workflows.\r\nSnowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.\r\nHow do you want to make your impact?\r\nFor jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com\r\nThe following represents the expected range of compensation for this role\r\nThe estimated base salary range for this role is $200,000 - $287,500.\r\nAdditionally, this role is eligible to participate in Snowflake's bonus and equity plan.\r\nThe successful candidate's starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.\r\nJ-18808-Ljbffr","company":"Snowflake Computing","rawCompany":"snowflake computing","city":"Menlo Park","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-07T00:55:27.040Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Software Engineer, Accelerated Delivery","description":"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.\r\nSnowflake'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.\r\nThis 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.\r\nIn this role, you will\r\nDesign and build continuous deployment and rollout infrastructure that safely ships changes across Snowflake's large-scale, multi-cloud production environment.\r\nBuild 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.\r\nImprove engineering velocity by removing friction from release pipelines and replacing manual workflows with durable platform abstractions and automation.\r\nBuild internal platforms that support large-scale release orchestration, application rollouts on Kubernetes, and broader production change workflows.\r\nPartner with product and infrastructure teams to make their services easier to deploy, validate, observe, and operate through well-designed platform capabilities.\r\nImplement and evolve deployment methodologies such as GitOps-inspired workflows, infrastructure as code, policy-driven automation, and progressive delivery patterns appropriate for Snowflake's environment.\r\nBuild systems that evaluate rollout health using metrics, logs, alerts, and operational signals to detect regressions early and trigger safe mitigation or rollback paths.\r\nDevelop self-service developer tooling that enables teams across Snowflake to adopt safe deployment patterns without requiring deep release expertise.\r\nBuild automation and guardrails that reduce operational toil and make production change workflows more consistent, scalable, and resilient.\r\nDesign and build AI-assisted, agentic-driven, and increasingly autonomous release workflows that improve rollout intelligence, developer productivity, and deployment safety.\r\nYou may be a strong fit if you\r\nHave experience building or operating continuous deployment, release engineering, or production change platforms at scale.\r\nHave worked with Kubernetes-based systems and understand how to safely roll changes across distributed production environments.\r\nHave strong software engineering skills in Golang, Java, C++, or similar systems languages, along with Python, Bash, or similar scripting languages.\r\nHave experience with distributed systems, infrastructure automation, CI/CD pipelines, and cloud environments.\r\nBring a data-driven mindset and have experience using observability platforms such as Prometheus, Datadog, or Grafana to evaluate system and rollout health.\r\nCare deeply about safe production rollouts, developer experience, minimizing blast radius, and building systems that make the right operational path the easiest one.\r\nEnjoy building internal platforms and self-service systems that improve developer productivity across a large engineering organization.\r\nApply a combined software engineering and DevOps mindset to design, build, and continuously improve large-scale delivery platforms in production.\r\nAre excited about applying AI and intelligent automation to release operations, deployment safety, and autonomous workflows.\r\nSnowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.\r\nHow do you want to make your impact?\r\nFor jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com\r\nThe following represents the expected range of compensation for this role\r\nThe estimated base salary range for this role is $200,000 - $287,500.\r\nAdditionally, this role is eligible to participate in Snowflake's bonus and equity plan.\r\nThe successful candidate's starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.\r\nJ-18808-Ljbffr","datePosted":"2026-08-07T00:55:27.040Z","dateModified":"2026-08-07T00:55:27.040Z","hiringOrganization":{"@type":"Organization","name":"Snowflake Computing","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b89a91134ba1164800e9a11d"},"url":"https://jobsearcher.com/jobs/b89a91134ba1164800e9a11d"}}