Senior Software Engineer - Internal Observability

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. ABOUT THE TEAM The Apps & Experiences Platform team powers the systems and services behind all of our user-facing applications, including Snowsight, Snowflake Intelligence, and new mobile experiences. Our mission is to build innovative backend services, developer tooling, platform infrastructure, and AI-powered capabilities that enable exceptional product experiences at scale. As part of our team, you’ll work across feature development, platform engineering, infrastructure, and internal tooling to support both end users and developers. We care deeply about building systems that are reliable, scalable, maintainable, and performant. Snowflake is a high-growth AI Data Cloud company, and we’re looking for exceptional engineers to help us scale the next generation of our platform. A key part of this is our work on our internal AI developer agent, which is designed to fundamentally democratize end-to-end web app development across all engineering teams by translating product specs and designs into a fully functional, production-ready features. AS A SENIOR SOFTWARE ENGINEER FOR THE APPS & EXPERIENCES PLATFORM TEAM, YOU WILL: * Design, build, and operate scalable backend services and platform infrastructure that power Snowflake’s user-facing applications. * Contribute across the full development lifecycle, from technical design and implementation to testing, deployment, and operational excellence. * Collaborate closely with engineers, product managers, and cross-functional teams to deliver high-quality features and platform capabilities. * Drive improvements to system reliability, scalability, performance, and developer productivity. * Participate in architecture and design discussions, helping shape technical direction and engineering best practices. * Build and operate cloud-native infrastructure and services running on Kubernetes. * Improve deployment, observability, and operational workflows for services running in containerized environments. * Debug and resolve complex production issues across distributed systems, Kubernetes infrastructure, and platform services. * Build and enhance internal tools, including our coding agent/orchestrator, to create AI-assisted workflows that enable self-serve building of production features end-to-end on the platform through prompts. * Contribute to a strong engineering culture through code reviews, knowledge sharing, mentoring, and operational ownership. WE ARE LOOKING FOR CANDIDATES WITH: * 6+ years of experience designing and building large-scale distributed or user-facing systems in production environments. * Strong software engineering fundamentals and hands-on experience building highly reliable, scalable backend systems. * Experience building and operating services on Kubernetes in production environments. * Strong understanding of cloud-native architectures, container orchestration, service reliability, and observability. * Experience with distributed systems, APIs, cloud infrastructure, or developer platforms. * Strong coding and debugging skills, with the ability to navigate complex system architectures. * Experience with cloud platforms such as AWS, Azure, or GCP is a plus. * Strong collaboration and communication skills with the ability to work effectively across teams. * BS/MS/PhD in Computer Science or related fields, or equivalent practical experience. Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. Snowflake 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. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

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. Snowflake’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. This 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. IN THIS ROLE, YOU WILL * 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. YOU MAY BE A STRONG FIT IF YOU * 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. Snowflake 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. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com