Description
At Snowflake, we are powering the era of the agentic enterprise.
Observe by Snowflake is an AI-powered observability platform built on the Snowflake Data Cloud and engineered for scale.
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'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