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: May 2026 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
Skills Required
- Actively enrolled in an accredited college/university program
- Completed BS degree, with MS or PhD in progress
- Excellent programming skills in C++ or Golang
- Knowledge of data structures and algorithms
- Experience working with big data (engineering/processing) and data migration
Snowflake Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake.
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Equity Value & Accessibility — Equity grants (RSUs) and an ESPP are central to total compensation and are described as highly valuable. Feedback suggests many see equity as a major satisfaction driver with meaningful upside potential.
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Fair & Transparent Compensation — Pay is considered competitive and accompanied by clear communication on salary, equity, and advancement. Feedback suggests pay practices emphasize fairness and transparency.
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Parental & Family Support — Paid parental leave, fertility benefits, adoption assistance, and family planning resources are notably comprehensive. Feedback suggests these programs materially support major life events.
Snowflake Insights
What We Do
Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data. We're on a mission to empower every enterprise to achieve its full potential through data and AI.
Why Work With Us
Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.
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