CA-Menlo Park•Posted: Apr 29•Deadline: Aug 17
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
CA-Menlo Park•Posted: May 9•Deadline: Aug 17
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
CA-Menlo Park•Posted: May 29•Deadline: Aug 17
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
