CA-Menlo Park•Publicerad: 7 maj•Sista ansökan: 17 aug.
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.
IN THIS ROLE YOU WILL:
* Lead the backend architecture and delivery of the Logs product area by owning the full lifecycle from API design through
production reliability, with a strong sense of what makes a great end-user experience.
* Drive technical direction for log ingestion, storage, querying, and enrichment pipelines capable of handling hundreds of
terabytes of telemetry daily.
* Build for both humans and AI agents — design APIs and workflows that work equally well for UI users and programmatic access by
AI coding agents like Claude Code and Cursor.
* Partner deeply with PMs, Frontend, and Design to shape the product roadmap, translate user needs into sound technical designs,
and identify backend capabilities that unlock high-value product experiences.
* Champion product thinking on the engineering team — bring clarity to trade-offs, flag gaps in requirements, and proactively
surface opportunities to simplify or improve the product.
* Set the technical bar through code reviews, architecture reviews, and mentorship, establishing patterns that scale across the
broader backend organization.
* Champion the use of AI-assisted development tools (e.g., GitHub Copilot, Cursor) to maintain high code quality and accelerate
delivery.
QUALIFICATIONS:
* 7+ years of industry experience building and maintaining high-scale backend systems in production.
* Strong proficiency in Go, Java, or a comparable systems-oriented language; comfort working across the stack when needed.
* Deep experience designing and operating distributed systems — familiarity with streaming pipelines, columnar storage, or
log/event processing is a strong plus.
* Demonstrated product acumen: you can read a PRD critically, push back on requirements that don't serve users, and propose
simpler solutions without sacrificing outcomes.
* Track record of leading end-to-end feature delivery in close partnership with cross-functional teams (PM, Design, Frontend).
* Strong written and verbal communication — you can explain technical decisions to non-engineers and influence roadmap priorities
with data and reasoning.
BONUS POINTS:
* Experience building observability or log management systems (e.g., Splunk, Datadog, Elastic, Loki, OpenTelemetry).
* Experience operating data lakehouses under high performance and high scale.
* Experience with query DSLs, CEL, or similar expression evaluation frameworks.
* Prior experience in a tech lead or staff engineer capacity on a product-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•Publicerad: 17 apr.•Sista ansökan: 17 aug.
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.
IN THIS ROLE YOU WILL:
* Develop interactive, data-rich user interfaces using React, TypeScript, and Vega, with a focus on integrating LLM-driven
features (e.g., natural language querying, generative UI, and AI-assisted data storytelling).
* Lead the end-to-end delivery of substantial product features, ensuring AI outputs are presented with high reliability and low
latency.
* Work closely with PMs, UX designers, and AI/ML engineers to bridge the gap between complex model outputs and intuitive user
experiences.
* Be a strong contributor to team planning, specifically identifying opportunities where Generative AI can simplify complex
technical workflows for our users.
* Champion the use of AI-assisted development tools (e.g., GitHub Copilot, Cursor) to maintain high code quality and accelerate
delivery.
QUALIFICATIONS:
* 7+ years of industry experience building and maintaining complex enterprise applications.
* Deep day-to-day knowledge of React, JavaScript, and TypeScript.
* The ability to balance functionality, delivery speed, and the unique performance challenges of AI-integrated frontends (e.g.,
streaming responses, optimistic UI updates).
* A drive to understand how frontend development—and specifically Human-AI Interaction (HAI)—impacts the overall customer
experience.
* A proactive approach to learning, especially regarding the evolving ecosystem of AI frameworks and frontend integration
patterns.
BONUS POINTS:
* Experience with commercial dashboarding products (e.g., Splunk, Datadog, Looker) or integrating AI into BI tools.
* Deep knowledge of the DOM, CSS, Canvas, and XHR, specifically for optimizing the rendering of large-scale AI data sets.
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•Publicerad: 1 maj•Sista ansökan: 17 aug.
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
