Infrastructure Engineer, Observe by Snowflake

Senior Software Engineer - Observe by Snowflake, AI Products

Snowflake

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. Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lakehouse, using open formats like Apache Iceberg, at dramatically lower cost. A dynamic Context Graph and chat-based AI SRE provide rich context and automated workflows so teams can move from detection to root cause of production issue and resolution 10x faster. Leading engineering teams at companies like Capital One, Topgolf, and Dialpad rely on Observe to troubleshoot hundreds of terabytes of telemetry daily while maintaining reliability at enterprise scale. As part of Snowflake, Observe combines startup-style ownership and velocity with the global reach, operational excellence, and ecosystem of one of the world’s leading data platforms. We are hiring a Software Engineer, AI Products for our AI Platform team at Observe by Snowflake. As an AI Product engineer you'll always be thinking first about the user experience and how to create the best product, technical choices, and implementation decisions that stem from that product first thinking. This team builds the AI-powered products and developer tooling at the core of Observe's platform, including our flagship AI SRE product, real-time Slack integrations, CLI tooling, evaluation pipelines, and Model Context Protocol (MCP) capabilities. You will work on highly visible, customer-facing AI products as well as internal tooling that directly impacts how the broader engineering team operates. IN THIS ROLE YOU WILL: * Own features end-to-end across the full stack, from API design and backend logic through to the front-end experience, shipping customer-facing AI products with speed and quality * Build and evolve the AI SRE product, Observe's flagship tool that helps engineering teams resolve production issues up to 10x faster through AI-powered signal correlation * Develop the AI SRE Slack integration, creating real-time surfaces that let users interact with the AI SRE agent directly within their existing workflows * Build developer-facing CLI tooling, the APIs that power it, and evaluation pipelines that ensure model and system quality * Expand Observe's Model Context Protocol (MCP) integrations, extending the capabilities and reach of our agentic AI systems * Design and consume RESTful APIs with confidence, working both as a producer and a consumer across a fast-moving, interconnected codebase * Collaborate closely with product and design to ensure every feature is as thoughtful in user experience as it is in implementation QUALIFICATIONS * Strong proficiency in TypeScript, this is a core requirement for the role * Demonstrated experience building full-stack web applications, with comfort across backend logic, API design, and frontend surfaces * Experience with server-side Node.js frameworks such as Express.js, Hono, or similar * Experience building or working with agentic AI systems and tool-use patterns, using SDKs such as the Vercel AI SDK, Anthropic Agent SDK, LangGraph, or Tanstack AI SDK * Experience implementing MCP (Model Context Protocol) servers over HTTP * Experience building agent-first CLI systems using Node.js or Bun * A product mindset, you care as much about the user experience as the implementation details * The ability to move quickly in a fast-moving codebase without sacrificing quality or maintainability * A BS/MS in Computer Science, Engineering, or equivalent experience BONUS POINTS: * Hands-on experience with LLMs, agents, and evaluation (evals) pipelines in production environments * Experience with Bun as a runtime * Prior work on developer tooling, internal platforms, or productivity infrastructure that directly shaped how an engineering team operates * Contributions to open-source AI, tooling, or observability projects * Familiarity with Observe's platform or the broader observability ecosystem (logs, metrics, traces, APM) 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

Senior Software Engineer - Observe Data Management

Snowflake

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. Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lakehouse using open formats like Apache Iceberg — at dramatically lower cost. A dynamic Context Graph and chat-based AI SRE provide rich context and automated workflows so teams can move from detection to root cause and resolution 10x faster. Leading engineering teams at companies like Capital One, Topgolf, and Dialpad rely on Observe to troubleshoot hundreds of terabytes of telemetry daily while maintaining reliability at enterprise scale. As part of Snowflake, Observe combines startup-style ownership and velocity with the global reach, operational excellence, and ecosystem of one of the world's leading data platforms. We are hiring a Senior Software Engineer for the Observe Data Management team. This team owns the core pipelines that ingest and process over 1 petabyte of telemetry data per day — the foundational infrastructure powering Observe's entire observability stack. You'll be working at the intersection of massive scale, open-source innovation, and real-world reliability challenges for enterprise customers around the globe. AS A SENIOR SOFTWARE ENGINEER - OBSERVE DATA MANAGEMENT AT SNOWFLAKE, YOU WILL: * Design, build, and scale high-throughput data ingestion and processing pipelines handling petabyte-scale telemetry — logs, metrics, traces, and events * Develop performance-critical, distributed systems components in Go and/or C++ that operate reliably across AWS and Azure * Contribute to OpenTelemetry and drive Observe's open-source strategy, including external community engagement and upstream contributions * Architect solutions that maintain enterprise-grade availability and low latency under extreme data volumes * Collaborate with SRE, product, and platform teams to define data reliability standards and improve detection-to-resolution times for customers * Debug and resolve complex distributed systems issues at the deepest layers of the stack * Help shape the technical roadmap for the Data Management team and mentor engineers across the organization OUR IDEAL SENIOR SOFTWARE ENGINEER - OBSERVE DATA MANAGEMENT WILL HAVE: * 5+ years of software engineering experience with deep expertise in distributed systems * Proficiency in Go and/or C++, with an ability to write high-performance, production-grade systems code * Demonstrated experience designing and operating large-scale data ingestion or stream processing pipelines * A strong sense of user empathy and product intuition — you think beyond APIs and care about end-to-end data onboarding and management experience. * Hands-on experience building and running services across major cloud providers (AWS and/or Azure) * Strong fundamentals in systems programming: concurrency, memory management, networking, and I/O * A track record of solving hard infrastructure or platform engineering problems at scale * B.S. in Computer Science, Engineering, or equivalent practical experience BONUS POINTS FOR THE FOLLOWING: * Experience with OpenTelemetry SDKs, instrumentation, or ecosystem tooling * Prior open-source contributions or project maintainership * Familiarity with Apache Iceberg or other open table formats and data lakehouse architectures * Background in observability, monitoring, or SRE * Experience with multi-cloud data infrastructure or telemetry platforms at petabyte scale WHY JOIN OUR OBSERVE TEAM AT SNOWFLAKE? The Observe team is building the future of AI-powered observability — from the ground up, at a scale few engineering teams ever touch. You'll have genuine ownership over systems that ingest and make sense of a petabyte of data per day, with a direct line from your work to the reliability and speed of enterprise customers who depend on Observe every hour of every day. And as part of Snowflake, you'll do it with the backing of one of the world's leading data platforms, while still moving with the velocity and ownership culture of a focused product team. How do you want to make your impact? 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

Senior Software Engineer, Accelerated Delivery

Snowflake

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