Why This Job is Featured on The SaaS Jobs
This Senior Software Engineer role sits in a core layer of the modern SaaS stack: observability. Monitoring and alerting is a foundational capability for any subscription product operating at enterprise scale, and the listing signals work tied to high-volume telemetry and reliability outcomes. The product context also reflects a broader SaaS trend, embedding AI into operational workflows rather than treating it as a separate feature area.
From a SaaS career perspective, the remit touches several durable skill sets: designing systems that handle concurrency and throughput, building fault-tolerant pipelines, and iterating on product behavior using customer feedback loops. Experience here tends to translate across infrastructure-heavy SaaS categories, including data platforms, developer tooling, and security, where operational correctness and clear user-facing failure modes matter. The AI-native angle adds practical exposure to integrating intelligence into everyday platform interactions, a pattern increasingly common across SaaS portfolios.
This role is best suited to senior engineers who like owning end-to-end technical scope and making architectural calls that directly influence service reliability. It will fit someone comfortable moving between backend internals and product surface decisions, and who values cross-functional collaboration as part of delivering platform features that customers depend on.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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.
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
