CA-Menlo Park•Posted: May 2•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 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
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 1•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.
We are hiring a Senior Software Engineer for the Monitoring & Alerting team at Observe by Snowflake. Observe is an AI-powered
observability platform built on the Snowflake AI Data Cloud, engineered for enterprise scale. The Monitoring & Alerting team owns
one of the most mission-critical products in observability, sitting at the intersection of AI, platform engineering, and
customer-facing use cases. Every decision you make directly shapes whether engineering teams detect and resolve incidents faster
or get paged unexpectedly at 2 a.m.
AS A SENIOR SOFTWARE ENGINEER AT SNOWFLAKE, YOU WILL:
* Drive high-impact features end-to-end: from anomaly detection and compound monitor logic to simple alerting workflows, owning
scope, architecture, and delivery
* Design and scale the monitoring and alerting pipeline to support high concurrency and high-throughput SQL workloads, ensuring
reliability for hundreds of terabytes of telemetry processed daily
* Own the full product surface of the monitoring system, iterating on backend behavior, AI agent interactions, and pipeline
internals based on direct customer feedback
* Build AI-native workflows for monitor creation and alert triage, bringing intelligence to every step of the
detection-to-resolution lifecycle
* Collaborate cross-functionally with forward deployment engineers, product managers, designers, support engineers, and sales
engineers to solve real customer reliability problems
* Mentor junior engineers, lead technical design decisions, and contribute to engineering excellence across the team
* Work across the backend stack as needed: persistent queues, event-driven architectures, and high-concurrency SQL systems
OUR IDEAL SENIOR SOFTWARE ENGINEER WILL HAVE:
* 5+ years of backend development experience, with a strong record of shipping reliable, high-scale systems (or equivalent
experience)
* Deep understanding of high-concurrency and high-scalability system design, including distributed workloads, persistent queues,
and fault-tolerant architectures
* Strong programming and debugging skills, with the ability to navigate complex systems under pressure
* A product mindset: you seek to understand user motivation and use cases before diving into technical solutions
* Demonstrated experience owning and delivering medium-sized projects end-to-end with minimal guidance
* Experience mentoring junior engineers and leading technical design decisions
* BS in Computer Science or equivalent professional experience
BONUS POINTS FOR THE FOLLOWING:
* Prior experience building or working on observability, monitoring, or alerting systems
* Familiarity with AI/ML-driven workflows such as anomaly detection, AI-assisted tooling, or intelligent automation
* Experience with large-scale data platforms including Snowflake, data lakes, or streaming systems
* Hands-on experience with high-concurrency SQL workloads or query optimization
* Background in event-driven architectures, distributed queues, or streaming pipelines
* Prior experience in a high-growth startup or fast-paced product environment
WHY JOIN OUR MONITORING & ALERTING TEAM AT SNOWFLAKE?
The Monitoring & Alerting team is where AI, platform scale, and customer impact converge. Leading engineering organizations at
companies like Capital One, Topgolf, and Dialpad rely on Observe to troubleshoot hundreds of terabytes of telemetry daily.
Alerting is the most mission-critical feature in observability: getting it wrong means your customers get paged in the middle of
the night. Getting it right means they never miss a critical incident.
What makes this team distinct is the breadth of ownership. Every engineer touches the product, gets direct exposure to customer
feedback, and is expected to iterate rapidly on backend pipelines, AI interactions, and use case quality. You'll work at the
intersection of challenging platform engineering and practical AI, building anomaly detection, intelligent triage, and unified
monitoring across all telemetry types, with startup-style velocity and the global reach of Snowflake 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
