Senior Software Engineer, Monitoring & Alerting

Snowflake
US-CA-Menlo Park
RemoteCareer-pivot friendly

Who this role is best for

Aimed at senior backend engineers comfortable with high-concurrency systems and AI-native workflows in a remote setting.

Best fit for

  • Backend engineers with experience in high-scale systems and a product mindset.
    — “5+ years of backend development experience, with a strong record of shipping reliable, high-scale systems
  • Candidates who thrive in dynamic environments and embrace experimental approaches.
    — “low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset
  • Engineers with a background in observability or AI-driven workflows.
    — “Prior experience building or working on observability, monitoring, or alerting systems

Things to consider

  • Direct impact on customer reliability and incident resolution.
    — “Every decision you make directly shapes whether engineering teams detect and resolve incidents faster
  • Ownership of both backend behavior and AI interactions.
    — “own the full product surface of the monitoring system, iterating on backend behavior, AI agent interactions

How to stand out

  • Highlight specific examples of scaling high-throughput SQL workloads.
    — “scale the monitoring and alerting pipeline to support high concurrency and high-throughput SQL workloads
  • Demonstrate experience with event-driven architectures and distributed systems.
    — “Work across the backend stack as needed: persistent queues, event-driven architectures
  • Showcase mentorship or leadership in technical design decisions.
    — “Mentor junior engineers, lead technical design decisions, and contribute to engineering excellence
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · IndividualLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • reliable monitoring systems
  • efficient alerting workflows
Typical background
software engineering or platform engineering

Skills & requirements

Required

Backend DevelopmentHigh-scale System DesignAI Integration

Preferred

Observability Systems

Stack & domain

SQLAnomaly DetectionCompound Monitor LogicAlerting WorkflowsProblem SolvingCritical ThinkingSoftware EngineeringAI

About the role

As a Senior Software Engineer at Snowflake, you'll lead the development of AI-driven monitoring and alerting systems, ensuring that engineering teams can swiftly detect and resolve issues, while also mentoring junior engineers and fostering a culture of innovation and excellence.

Original posting from Snowflake via Ashby

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 http://careers.snowflake.com

Source: Snowflake careers (Ashby)

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