---
title: 'Principal Software Engineer - Observability at Snowflake'
canonical: 'https://feeny.ai/job/principal-software-engineer-observability-snowflake-menlo-park-1haf6vtfhmm3'
type: 'job'
last_seen: '2026-11-06'
---

# Principal Software Engineer - Observability at Snowflake

- **Company:** [Snowflake](https://feeny.ai/companies/snowflake)
- **Location:** Menlo Park, CA
- **Compensation:** $264k–$380k
- **Employment:** full-time
- **Posted:** 2026-11-06
- **Last confirmed live:** 2026-11-06
- **Apply:** https://jobs.ashbyhq.com/snowflake/07b49797-c9c4-4a9e-b7b6-c88cdcd7a464

## 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. Build the foundation for faster, safer innovation. Snowflake’s AI Data Cloud supports critical enterprise workloads across multiple clouds and regions. As AI accelerates software development, the volume and pace of change are outgrowing what engineers can manually review, coordinate, and monitor. Moving faster requires systems that make understanding, diagnosing, and resolving issues an integral part of how customers and engineers work. The Observability team builds the telemetry, analytics, and diagnostic platform that helps Snowflake customers and engineers understand the health of their workloads and services, detect problems early, and resolve them quickly. We’re looking for a hands-on, product-minded Principal Software Engineer I to help build an AI-driven observability platform, combining deep distributed-systems engineering with a strong instinct for what customers and developers need. You will shape technical direction, solve challenging systems problems, and lead initiatives from concept to customer launch across engineering, product, and design. The opportunity is to build a platform where AI agents and engineers detect, diagnose, and resolve issues together, so that growing scale and complexity translate into faster answers rather than more manual investigation.

AS A PRINCIPAL SOFTWARE ENGINEER AT SNOWFLAKE YOU WILL:

- Architect and build distributed infrastructure. Design scalable pipelines and services for ingesting, storing, and querying logs, metrics, traces, and events at very high volume, with predictable cost, low query latency, fault isolation, and clear data-freshness guarantees.
- Ship observability products to customers. Partner with product management and design to define and deliver customer-facing capabilities, from telemetry collection and alerting to dashboards and diagnostics, that work natively within Snowflake. Turn customer feedback and usage data into product decisions, and own outcomes through launch and adoption.
- Build AI-driven detection and diagnosis. Develop agentic workflows that correlate signals across the stack, surface anomalies, explain likely root causes, and recommend or take remediation steps. Ground these capabilities in high-quality telemetry and rigorous evaluation so customers and engineers can trust them.
- Build and work AI-first. Make AI integral to how you design, implement, test, and operate software. Establish rigorous evaluation, security, and reliability standards for AI-powered capabilities, and drive adoption of AI-first practices across the team.
- Lead from architecture through adoption. Translate ambiguous customer and developer needs into practical designs and milestones. Deliver intuitive APIs, SDKs, and self-service experiences built on open standards such as OpenTelemetry, and guide incremental migrations from existing tooling.
- Raise the engineering bar. Write and review production code, diagnose complex failures, own operational outcomes, and mentor engineers. Influence across teams through technical depth, clear communication, and sound judgment.

OUR IDEAL PRINCIPAL SOFTWARE ENGINEER WILL HAVE:

- 12+ years of software engineering experience, including technical leadership of complex backend, infrastructure, or data-platform initiatives spanning multiple teams.
- Deep experience designing, building, and operating large-scale distributed systems, with strong understanding of concurrency, consistency, caching, failure recovery, storage and query efficiency, and performance.
- Strong computer science fundamentals and hands-on proficiency in Java, Go, C++, or a comparable backend language, plus experience with AWS, Azure, or Google Cloud.
- An AI-first engineering practice: you actively use AI throughout the software lifecycle and can demonstrate how it improves your execution, problem-solving, and quality. You are ready to build AI-powered platform capabilities and help others adopt this approach.
- A track record of shipping products to external customers: partnering with product and design, turning ambiguous problems into delivered systems, making scope and quality trade-offs, and driving adoption, reliability, and customer satisfaction after launch.
- Clear written communication, low-ego collaboration, strong ownership, and experience mentoring senior engineers.
- A degree in Computer Science or a related field, or equivalent practical experience.

Especially relevant: Experience building observability, monitoring, or analytics platforms (logs, metrics, traces, alerting); OpenTelemetry; time-series or columnar storage; AIOps or agentic diagnosis systems; or developer-facing data products. Help build the platform that lets customers and engineers understand and resolve issues faster than manual investigation allows, with the scale and trust that critical workloads demand. 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)

## About Snowflake

## Company Overview
- **One-liner**: Snowflake provides an AI Data Cloud platform that enables enterprises to store, analyze, and securely share their data across multiple clouds and geographies.
- **Entity Type**: Public (NYSE: SNOW)
- **Headquarters**: Bozeman, Montana, United States
- **Founded**: 2012
- **Founders**: Not explicitly listed in the provided search results (widely known co-founders include Benoit Dageville, Thierry Cruanes, Marcin Zukowski – not verified in these search results)

## Core Business
- **Primary Industry**: Enterprise software, cloud data platform
- **Target Customers**: B2B, including large enterprises (e.g., hundreds of the world’s largest companies), mid-market, and SMBs
- **Mission**: “To Mobilize the World’s Data” (Glassdoor) and “empower every enterprise to achieve its full potential through data and AI” (Snowflake Careers page)

## Products & Services
- **Snowflake AI Data Cloud**: A unified, multi-cloud platform that combines data warehousing, data lakes, data sharing, and AI/ML capabilities. Customers can discover, share, and analyze data while running analytic workloads across public clouds (AWS, Azure, GCP).
- **Snowflake Marketplace**: A marketplace for discovering and accessing third‑party data sets and applications.
- **Snowflake‑Powered Applications**: Platform for building and deploying data‑intensive applications.

## Market Standing
- **Valuation/Market Cap**: Not directly provided in search results (as a public company, market cap fluctuates and is available on financial websites).
- **Key Metric**: Annual Revenue – $1 to $5 billion (USD) per Glassdoor.
- **Notable Investors/Partners**: Not explicitly mentioned in the search results (historically backed by Sequoia Capital, Dragoneer, etc. – not verified here).
- **Growth Signals**:
  - Named #1 on the 2023 Fortune Future 50 List ([Fortune.com](https://fortune.com))
  - Listed as a U.S. Best Large Place to Work by BuiltIn in 2024
  - Recognized as one of the “20 Coolest Cloud Software Companies” by CRN in 2022 and 2024
  - Headcount of 5,001–10,000 employees with 30 global locations; actively hiring
  - Revenue range $1B–$5B indicates strong scale

## Competitive Advantages
- **Multi‑Cloud Flexibility**: Operates across AWS, Azure, and GCP, avoiding vendor lock‑in.
- **Unified Data Experience**: One platform for data sharing, analytics, and AI, reducing silos.
- **Separation of Compute and Storage**: Allows independent scaling and cost efficiency (not detailed in provided sources, but a known differentiator).
- **Strong Ecosystem**: Data marketplace and extensive partner network.

## Strategic Focus
- **AI & Data Innovation**: The company’s current emphasis is on making “enterprise AI easy, efficient, and trusted” and integrating AI capabilities into the Data Cloud.
- **Global Expansion**: Active hiring across 30 locations indicates continued geographic growth.
- **Customer‑Centric Development**: Focus on empowering enterprises to achieve “full potential through data and AI.”

## Why Work Here
- **Culture**: Described as “driven by innovation, low egos, high bars, and collaboration” (Snowflake Careers page). Glassdoor rating of 3.9/5 overall (78% approve CEO).
- **Work‑Life Balance**: Glassdoor rates Work/Life Balance at 3.7/5; many remote and hybrid roles available (see Indeed listings).
- **Benefits**: “Benefits & Beyond” program includes competitive compensation, equity, career advancement programs, and commitment to pay equality and veteran hiring.
- **Engineering Focus**: Hiring process includes 2–4 week timeline with technical interviews; the company values impactful, project‑based work for all roles, including interns.
- **Recognition**: Named a Best Large Place to Work (BuiltIn 2024) and future‑focused by Fortune, signaling strong employer brand.

## Sources
1. [Snowflake Careers Overview](https://careers.snowflake.com/us/en)
2. [Life at Snowflake](https://careers.snowflake.com/us/en/snowflake-life)
3. [Snowflake on Glassdoor](https://www.glassdoor.com/Overview/Working-at-Snowflake-EI_IE928471.11,20.htm)
4. [Snowflake Hiring Process](https://careers.snowflake.com/us/en/gethired)
5. [Snowflake on Indeed](https://www.indeed.com/cmp/Snowflake-7f4a7fba)
6. [Snowflake Careers Portal (Ashby)](https://jobs.ashbyhq.com/snowflake) – provided by user

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