Level

Snowflake

Software Engineer Intern - Zurich (2026)

Snowflake is hiring a Software Engineer Intern - Zurich (2026) for a remote role open to applicants in Switzerland. Level rates it ; you can apply on Level.

Level's read on this job

  • Level rates this software engineer role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include Apache Iceberg, infrastructure and observability.
  • Level lists 358 other open roles at Snowflake.
  • The role was posted within the past week.

AI in this role

Build and scale cloud infrastructure for an AI-powered observability platform as an intern at Snowflake.

apache-iceberg
infrastructureobservabilitysoftware-engineering

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 Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lake using open formats like Apache Iceberg, delivering deep correlation and long-term analytics at dramatically lower cost. A dynamic Knowledge Graph and chat-based AI SRE provide rich context and guided workflows so teams can move from detection to root cause and resolution significantly faster.

The Infrastructure team at Observe by Snowflake is responsible for building, scaling, and operating the development and production environments that power our observability platform. We are a small, highly collaborative team with a broad scope, focused on delivering reliable infrastructure while continuously improving the systems that support our engineers and customers.

We’re looking for dedicated students who share our passion for ground-breaking technology and want to create a lasting future for you and Snowflake.

WHAT WE OFFER :

  • Paid, full-time internships in the heart of the software industry

  • Post-internship career opportunities (full-time and/or additional internships)

  • Exposure to a fast-paced, yet fun, startup culture

  • A chance to work with world-class experts on challenging projects

  • Opportunity to provide meaningful contributions to a real system used by customers

  • High level of access to supervisors (manager and mentor), detailed direction without

  • micromanagement, feedback throughout your internship, and a final evaluation

  • Stuff that matters: treated as a member of the Snowflake team, included in company

  • meetings/activities, flexible hours, casual dress code, accommodations to work from

  • home, swag and much more

  • Catered lunches, access to gaming consoles, recreational games, happy hours,

  • company outings, and more

  • Embraced as a full member of the diverse Snowflake engineering team

WHAT WE EXPECT :

  • Must be actively enrolled in an accredited college/university program during the time of the internship

  • Required: A completed BS degree, with an MS or PhD in progress

  • Desired Majors: Computer Science, Computer Engineering, Electrical Engineering, Physics, Math, or related field

  • Required coursework: algorithms, data structures, and operating systems

  • Recommended coursework: Database systems, distributed systems, cloud computing, compilers

  • Bonus experience: Research or publications in databases or distributed systems and contributions to open source.

  • Experience working with big data (engineering / processing) and data migration

  • Duration: 4–12 months (6 months recommended) start date flexible

  • Target start dates: January 2027 and onward

  • Excellent programming skills in C++ or Golang

  • Knowledge of data structures and algorithms

  • Strong problem solving and ability to learn quickly in a dynamic environment

  • Fluent English language skills (oral and written)

  • Experience with working as a part of a team

  • Dedication and passion for technology

  • Systems programming skills including multi-threading, concurrency, etc.

WHAT YOU WILL LEARN/GAIN :

  • How to build enterprise grade, reliable, and trustworthy software/services

  • Exposure to SQL and/or other database technologies (e.g., Spark, Hadoop)

  • Understanding of database internals, large-scale data processing, observability space, distributed systems, warehouse scheduling

  • Implementation, testing of features in metrics processing, warehouse scheduling, query execution

  • Experience working with cloud infrastructure, AWS, Azure, and/or Google Cloud in particular

  • Learning about cutting edge database technology and research

POSSIBLE TEAMS/WORK FOCUS AREA :

  • Data management from ingestion to customer-defined batch-streaming

  • Data processing control plane from language compilation to warehouse execution

  • Metrics product feature development

  • Enterprise feature development

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

How we rate this

Software Engineer Intern - Zurich (2026) at Snowflake rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

InfrastructureObservabilitySoftware EngineeringApache Iceberg

Also common in software engineer jobs at this level

Pay

Typical software engineer job
$168k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

  1. Tell me about a project where infrastructure was part of your work. What did you do?
  2. Tell me about a project where observability was part of your work. What did you do?
  3. Tell me about a project where software engineering was part of your work. What did you do?
  4. What's a project where you used Apache Iceberg hands-on?
  5. Describe a typical day in a role like this one: which parts run through AI directly?

Adapt your resume

  • List these exact terms on your resume: Infrastructure, Observability, Software Engineering, and Apache Iceberg. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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