Senior Software Engineer, Monitoring

Snowflake•Menlo Park, CA

About The Position

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.

Requirements

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

Nice To Haves

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

Responsibilities

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