# Senior Software Engineer, Monitoring & Alerting

**Company:** [Snowflake](https://hotfix.jobs/companies/snowflake)
**Location:** Menlo Park, CA
**Role:** Backend Engineering
**Salary:** $200k – $288k/yr
**Experience:** 5+ years
**Skills:** SQL, Persistent Queues, Event-Driven Architectures, Distributed Systems, Anomaly Detection, Ai/Ml Workflows, Snowflake, Streaming Systems, Observability, Monitoring Systems
**Posted:** 2026-05-01

> Builds and scales backend systems for monitoring, alerting, and anomaly detection in an AI-powered observability platform. Requires 5+ years backend experience with high-concurrency SQL, distributed architectures, and end-to-end feature ownership.

## Job Description

## 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.

## 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: 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.

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