Senior Software Engineer - Observe by Snowflake, Logs

Senior Software Engineer - Observe by Snowflake, APM & AI Observability

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 engineered for scale — ingesting logs, metrics, traces, and events on an open data lakehouse using Apache Iceberg, at dramatically lower cost than traditional tools. Our products help engineering teams at companies like Capital One, Topgolf, and Dialpad move from detection to root cause 10x faster across hundreds of terabytes of telemetry data daily. As part of Snowflake, we combine startup-style ownership and velocity with the reach and ecosystem of one of the world's leading data platforms. We are hiring a Senior Software Engineer to own and drive the evolution of our APM and AI observability products — two adjacent product lines that sit at the intersection of AI, advanced streaming data pipelines, and backend platform engineering. AS A SENIOR SOFTWARE ENGINEER AT SNOWFLAKE, YOU WILL: * Own end-to-end product scopes across our APM and AI observability product lines — from backend behavior and API design to data pipeline architecture and client-side SDK work * Build and optimize streaming data pipelines that tackle graph traversal challenges at scale and LLM-as-judge online evaluation pipelines for real-time agentic telemetry * Design and implement backend services and APIs that power microservice topology views, service error detection, latency analysis, and agentic workflow monitoring * Collaborate cross-functionally with frontend, design, product, and support teams to deliver products that are intuitive for both human users and AI-native workflows (agentic users like Claude Code and Cursor are first-class citizens on our platform) * Drive architecture and delivery for medium-to-large projects end-to-end, from technical design through production launch * Champion product thinking on the engineering team — deeply understand customer use cases in both microservice and agentic application contexts before diving into technical solutions * Mentor junior engineers and lead technical design decisions that raise the quality bar across the team OUR IDEAL SENIOR SOFTWARE ENGINEER WILL HAVE: * BS in Computer Science or equivalent and solid computer science fundamentals (algorithms, systems, distributed computing) * 5+ years of backend development experience with strong programming and debugging skills * Experience working with complex data pipelines and/or data warehouses at production scale * Demonstrated product mindset — you seek to understand user motivation and use cases before diving into implementation * Experience owning and driving medium-sized projects successfully, including architecture and cross-team delivery * Strong communication and collaboration skills — you're effective working with engineering, product, design, and customer-facing teammates * Experience mentoring junior engineers or leading technical design discussions BONUS POINTS FOR THE FOLLOWING: * Experience building or working on APM or AI observability products (OpenTelemetry experience a strong plus) * Hands-on experience building or operating agentic applications in production * Exposure to customer-facing product development with strong product intuition * Experience with streaming systems, distributed tracing, or graph-based data pipelines * Prior experience in high-growth startups or fast-paced product environments where you shipped fast and owned outcomes WHY JOIN THE OBSERVE APM TEAM? Observe by Snowflake is where observability gets reinvented — not incrementally, but fundamentally. We're the only observability platform built natively on the Snowflake AI Data Cloud, which means we skip the compromises: no more choosing between cost and retention, no more fragmented tools for logs vs. traces vs. metrics. Engineering teams at some of the most demanding companies in the world rely on us to debug at scale, and we're just getting started. What makes this role unique is the intersection of problems you'll work on: streaming graph traversal at scale, agentic AI monitoring, and a product philosophy that treats AI-native workflows as first-class citizens. You'll have a real product scope to own, a team with startup velocity, and the full weight of Snowflake's platform, data, and go-to-market behind you. 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 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 by Snowflake, Streaming Data 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 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 on the Observe team at Snowflake to own the streaming data product surface — the tables, views, and materialized views at the core of Observe's architecture. Observe's data lake approach lets customers correlate heterogeneous telemetry — logs, metrics, traces, events — across a unified data model. This role owns that data model: how customers define, shape, and query the semi-structured data that makes cross-signal correlation low-latency and cost-efficient, at petabyte scale, over continuous streaming telemetry. AS A SENIOR SOFTWARE ENGINEER — STREAMING DATA PRODUCTS AT SNOWFLAKE, YOU WILL: * Own the data modeling product surface — the APIs, schemas, and abstractions through which customers create tables, views, and materialized views that unify their telemetry for correlation and querying, designed for high-performance execution at scale * Design the right abstractions for how customers create and manage queryable data — from streaming materialized views to reference tables to log-derived metrics — each serving different needs but composing under one coherent, evolvable model * Define freshness and staleness semantics that let customers trust their materialized views are current, and design the controls to tune the trade-off between query latency and compute cost * Design APIs with strong schema taste: versioning, backwards compatibility, polymorphic data models, and clean contracts between systems * Drive requirements and shape the execution engine based on what the product surface needs * Layer complexity so an SRE gets a useful table from opinionated defaults in minutes, while a data engineer can express multi-stage pipelines with custom joins, windowing, and time-based aggregations * Lead a team technically — setting architectural direction, writing production code, and mentoring engineers OUR IDEAL SENIOR SOFTWARE ENGINEER — STREAMING DATA PRODUCTS WILL HAVE: * 5+ years of software engineering experience with deep expertise in databases, SQL, stream processing, or data pipeline systems * Deep knowledge of data processing or streaming internals — late-arriving data, backfill and reprocessing on schema changes, event-time vs. processing-time semantics — with experience building products and applications on top of them * Demonstrated experience designing and shipping APIs with strong taste in DB schema design, versioning, and developer ergonomics * An architect's mental model — you think in systems, interfaces, contracts, and long-term evolution rather than short-term hacks * A strong sense of user empathy and product intuition — you think beyond APIs and care about how customers define and query their data * Proficiency in Go or another systems language, with ability to write production-grade distributed systems code BONUS POINTS FOR THE FOLLOWING: * Experience building customer-facing data modeling or pipeline authoring products * Hands-on experience with streaming semantics in production: watermarks, windowing, ordering, delivery guarantees, late-arriving data * Background in designing or extending query languages, schema DSLs, or transformation DAG semantics * Prior work building internal data platforms that turned raw event streams into curated, queryable tables for internal teams * Familiarity with Apache Iceberg, open table formats, or data lakehouse architectures WHY JOIN OUR OBSERVE TEAM AT SNOWFLAKE? Observe's data modeling surface — how customers go from raw telemetry to structured, queryable, correlated data — has proven successful and is now at an inflection point, growing rapidly in richness and complexity to serve evolving enterprise needs. Your architectural decisions will shape how this surface scales — serving thousands of teams, supporting new abstraction types, and maintaining coherence as the platform matures. And you'll do it backed by Snowflake's query engine and data platform, with the ownership culture and shipping velocity of a small focused team. 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