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Senior Software Engineer - Observe by Snowflake, Monitoring & Alerting

External
Snowflake logoSnowflake · CA Menlo Park
$200K–$288K/yrFull-timeOn-site1mo ago
MentoringMoveObservabilitySnowflakeSQLSystem Design
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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


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