---
title: 'SENIOR SOFTWARE ENGINEER at Snowflake'
canonical: 'https://feeny.ai/job/senior-software-engineer-snowflake-menlo-park-7ej2z66zgnzy'
type: 'job'
last_seen: '2026-09-25'
---

# SENIOR SOFTWARE ENGINEER at Snowflake

- **Company:** [Snowflake](https://feeny.ai/companies/snowflake)
- **Location:** Menlo Park, CA
- **Compensation:** $221k–$288k
- **Employment:** full-time
- **Posted:** 2026-09-24
- **Last confirmed live:** 2026-09-25
- **Apply:** https://jobs.ashbyhq.com/snowflake/c03acc32-f60b-40de-9838-e954d3f419b9

## 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. Job Location: 135 Constitution Drive, Menlo Park, CA 94025. ELT: Engineering

## REQ ID: ASHREQ-8246

Joining this team means architecting the performance, scalability, and service infrastructure that will empower the world's largest enterprises to seamlessly govern their transactional and analytical data in one place. If you are passionate about building industry-leading technologies that solve real-world scale and performance problems, this is the place to be. In this role, you will be a key contributor to the evolution of our core product: an elastic, large-scale, high-performance data processing system. We are looking for smart, enthusiastic engineers who can quickly master complex technical areas and are passionate about building new, industry-leading technologies.

AS A SENIOR SOFTWARE ENGINEER (MULTIPLE POSITIONS AVAILABLE) AT SNOWFLAKE, YOU WILL: Design, develop, and maintain core components of AI/ML observability systems, including backend infrastructure for largescale data processing, storage, and data movement. Implement and optimize highly specialized techniques such as sketch based data aggregation and machine learning metrics to support accurate monitoring and evaluation of ML and Generative AI models. Develop and enhance AI/ML infrastructure to support reliable training, deployment, and monitoring of machine learning workloads at scale. Build and extend platform features that enable scalable ML and Generative AI use cases while improving performance, reliability, and resource efficiency. Serve as a technical lead for the design and implementation of machine learning observability, data infrastructure, and model explainability capabilities supporting customer-facing ML and Generative AI products. Telecommuting permitted.

Minimum Requirements for Position:

- Bachelor's degree or foreign equivalent in Computer Science, Information Technology, Electrical Engineering or a related field, and five (5) years of progressive post baccalaureate experience in the job offered or a related occupation.

Education or experience must include:

- Designing and building database systems, compilers, and developer tools;
- Building enterprise-grade, reliable, and trustworthy software and services;
- Developing applications using Java;
- Using SQL and other database technologies, including implementing internal database components;
- Designing data warehouses, database systems, and large-scale data processing solutions;
- Contributing to ASF open-source projects, including big data and Hadoop ecosystem initiatives; and
- Performing implementation, testing, debugging, and documentation, and design query compilation and compiler systems.

The base salary range for this role is $221,187 - $287,500 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) 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

## Other roles at Snowflake

- [Software Engineer - Java Platform](https://feeny.ai/job/software-engineer-java-platform-snowflake-berlin-ac4fc8krvaa4) — Berlin, Germany
- [Staff Software Engineer, Frontier Security Team](https://feeny.ai/job/staff-software-engineer-frontier-security-team-snowflake-bangalore-dm7px11jacxa) — Bangalore, India
- [Enterprise Account Executive (Telco)](https://feeny.ai/job/enterprise-account-executive-telco-snowflake-tokyo-pcg9fj22xd3c) — Tokyo, Japan
- [Cloud Support Engineer, AI/ML (Night Shift)](https://feeny.ai/job/cloud-support-engineer-ai-ml-night-shift-snowflake-pune-p4e1g6eb8t0d) — Pune, India
- [Software Engineer Intern (AI / ML) - Spring 2027](https://feeny.ai/job/software-engineer-intern-ai-ml-spring-2027-snowflake-menlo-park-642xz5s43qhv) — Menlo Park, CA
- [Software Engineer Intern (Database Engineering) - Spring 2027](https://feeny.ai/job/software-engineer-intern-database-engineering-spring-2027-snowflake-menlo-park-jd9jdypjf3yk) — Menlo Park, CA
- [Software Engineer Intern (Core, Infrastructure & Security) — Spring 2027](https://feeny.ai/job/software-engineer-intern-core-infrastructure-security-spring-2027-snowflake-k1pr15vrppdw) — Menlo Park, CA
- [Senior/Staff   Forward Deployed Engineer, Applied AI](https://feeny.ai/job/senior-staff-forward-deployed-engineer-applied-ai-snowflake-menlo-park-1qj81cqkgzbq) — Menlo Park, CA
- [Account Executive, Enterprise Acquisition](https://feeny.ai/job/account-executive-enterprise-acquisition-snowflake-new-york-h9jy9mb5hvjv) — New York, NY
- [Associate Solution Engineer](https://feeny.ai/job/associate-solution-engineer-snowflake-london-bsdm9hapntxe) — London, United Kingdom