---
title: 'Senior Technical Support Engineer, Observe by Snowflake at Snowflake'
canonical: 'https://feeny.ai/job/senior-technical-support-engineer-observe-by-snowflake-snowflake-zurich-zq0m004203qa'
type: 'job'
last_seen: '2026-09-04'
---

# Senior Technical Support Engineer, Observe by Snowflake at Snowflake

- **Company:** [Snowflake](https://feeny.ai/companies/snowflake)
- **Location:** Zurich, Switzerland
- **Compensation:** CHF 116k–CHF 152k
- **Employment:** full-time
- **Posted:** 2026-04-18
- **Last confirmed live:** 2026-09-04
- **Apply:** https://jobs.ashbyhq.com/snowflake/f288375d-5d6b-4686-94bf-8018583ff03b/application

**Skills:** Python, Bash, Linux, Unix, macOS, Windows, AWS, Azure, Google Cloud Platform, Kubernetes, Distributed Systems, Debugging, Networking, Prometheus, Grafana, Jaeger, Loki, OpenTelemetry, Terraform, Github Actions

> Provide expert-level technical support and troubleshooting for Snowflake's AI-powered observability platform to customers in the EMEA region. The role involves resolving complex issues, managing high-priority escalations, and collaborating with engineering teams to improve performance and automate workflows.

## 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.

Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lakehouse, using open formats like Apache Iceberg, at dramatically lower cost. A dynamic Context Graph and chat-based AI SRE provide rich context and automated workflows so teams can move from detection to root cause of production issue and resolution 10x faster.

Leading engineering teams at companies like Capital One, Topgolf, and Dialpad rely on Observe to troubleshoot hundreds of terabytes of telemetry daily while maintaining reliability at enterprise scale. As part of Snowflake, Observe combines startup-style ownership and velocity with the global reach, operational excellence, and ecosystem of one of the world’s leading data platforms.

As a Senior Technical Support Engineer, you will be a trusted advisor and technical resource for our customers in the EMEA region. This is a hands-on role for someone who thrives in dynamic environments, loves troubleshooting complex technical issues, and is passionate about delivering exceptional support experiences.

You’ll be responsible for resolving high-impact technical issues, driving customer success, and collaborating closely with product, engineering, and customer success teams. This is an opportunity to shape how support is delivered and to contribute to the evolution of our platform and processes.

## RESPONSIBILITIES

- Deliver expert-level technical support to customers through phone, email, and chat.
- Troubleshoot and resolve complex technical issues involving our observability platform, integrations, and customer environments.
- Partner with engineering teams responsible for performance to become the subject matter expert on performance issues related to components like dashboards, monitors, and datasets. Lead initiatives to improve performance and educate engineering, technical support, and sales engineering teams on best practices.
- Help to design and build AI skills that increase technical support engineering productivity, quality and speed.
- Own and manage high-priority escalations, coordinating with engineering and product teams to drive resolution.
- Create and maintain high-quality technical documentation, including knowledge base articles and runbooks.
- Act as a technical liaison between customers and internal teams, translating customer feedback into actionable product insights.
- Participate in the on-call rotation to support urgent customer issues outside normal hours.
- Proactively contribute to process improvement, tooling, and support automation initiatives.
- Mentor junior support engineers and help level up the broader team through knowledge sharing.

## QUALIFICATIONS

- Technical Expertise
- Bachelor's degree in Computer Science, Information Technology, or a related technical field.
- 5+ years in a technical support or customer-facing engineering role, ideally in a SaaS, DevOps, or observability-focused environment.
- Deep familiarity with operating systems (Linux, Unix, macOS, and Windows) and modern networking concepts.
- Proficient in scripting languages such as Python or Bash.
- Experience with cloud platforms like AWS, Azure, or Google Cloud Platform.
- Working knowledge of Kubernetes; particularly in troubleshooting, scaling, and deployment contexts.
- Strong diagnostic and debugging skills across complex distributed systems.

## SOFT SKILLS

- Exceptional problem-solving skills and a methodical, customer-first approach to issue resolution.
- Clear, concise communicator able to translate complex technical topics for non-technical audiences.
- Calm under pressure, with the ability to multitask and prioritize in high-stakes situations.
- Collaborative mindset, with a track record of building strong working relationships across functions.
- Demonstrated leadership potential, including the ability and drive to lead a team, mentor colleagues, and autonomously manage initiatives.

## BONUS POINTS

- Experience with observability/monitoring tools such as Prometheus, Grafana, Jaeger, Loki, or similar platforms.
- Proficiency with OpenTelemetry (OTEL), configuring and troubleshooting for distributed tracing, metrics, and logging.
- Experience using Terraform to deploy infrastructure preferably in combination with CI/CD tools such as Github Actions or Jenkins.
- Hands-on experience with Kubernetes clusters, including Helm, CNI, CSI, kubectl, and k9s.
- Exposure to modern data storage and retrieval systems including SQL, NoSQL, and data warehousing technologies.

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

- [Strategic Events Specialist, EMEA](https://feeny.ai/job/strategic-events-specialist-emea-snowflake-london-e0aktq37y0hh) — London, United Kingdom
- [Sales Development Representative](https://feeny.ai/job/sales-development-representative-snowflake-sydney-x4rdpkcc3yzd) — Sydney, Australia
- [AI Research Scientist, New Grad – Agents & Reinforcement Learning](https://feeny.ai/job/ai-research-scientist-new-grad-agents-reinforcement-learning-snowflake-bellevue-a87enzz636zr) — Bellevue, WA
- [Principal Business Operations Manager, Ops & AI Tooling](https://feeny.ai/job/principal-business-operations-manager-ops-ai-tooling-snowflake-menlo-park-cv7r8zmydckx) — Menlo Park, CA
- [Senior Software Engineer - Cloud Efficiency](https://feeny.ai/job/senior-software-engineer-cloud-efficiency-snowflake-bellevue-nd411k1s2v4a) — Bellevue, WA
- [Head of Marketing, GCC](https://feeny.ai/job/head-of-marketing-gcc-snowflake-bangalore-8j4b1v6w8eyq) — Bangalore, India
- [Enterprise Account Executive - Expansion](https://feeny.ai/job/enterprise-account-executive-expansion-snowflake-stockholm-dqa3xyhzth4f) — Stockholm, Sweden
- [Senior Cloud Support Engineer](https://feeny.ai/job/senior-cloud-support-engineer-snowflake-tokyo-mjkx9212eavf) — Tokyo, Japan
- [Solutions Architect, Frontier Engineering](https://feeny.ai/job/solutions-architect-frontier-engineering-snowflake-tokyo-6zrwry1jdaw4) — Tokyo, Japan
- [Senior Software Engineer - Cloud Security](https://feeny.ai/job/senior-software-engineer-cloud-security-snowflake-menlo-park-sj8s5qyrkvgq) — Menlo Park, CA