Senior Software Engineer (Observe by Snowflake - Monitoring & Alerting)

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
• (Desirable) Prior experience building or working on observability, monitoring, or alerting systems
• (Desirable) Familiarity with AI/ML-driven workflows such as anomaly detection, AI-assisted tooling, or intelligent automation
• (Desirable) Experience with large-scale data platforms including Snowflake, data lakes, or streaming systems
• (Desirable) Hands-on experience with high-concurrency SQL workloads or query optimization
• (Desirable) Background in event-driven architectures, distributed queues, or streaming pipelines
• (Desirable) Prior experience in a high-growth startup or fast-paced product environment

What the job involves

• 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