Senior Software Engineer - Observe by Snowflake, Monitoring & Alerting
소프트웨어 엔지니어정규직시니어 · 5년 이상
Snowflake의 Observe 팀에서 모니터링 및 알림 시스템을 고도화할 Senior Software Engineer를 찾습니다. 분산 시스템 설계 및 고성능 백엔드 개발 경험이 필수이며, AI 기반의 관측 가능성 플랫폼을 구축하고 확장하는 핵심 역할을 수행합니다. 대규모 데이터 처리와 SQL 시스템에 대한 깊은 이해를 바탕으로 고객의 신뢰성을 책임질 엔지니어를 환영합니다.
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.
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
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
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
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