Requirements

Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering or a related technical field
Solid programming skills in at least one of: Java, C++, Go, Rust or Python
Strong grasp of data structures, algorithms and software design principles
Familiarity with Git and collaborative development workflows
Strong problem-solving skills and attention to code quality
Ability to communicate effectively in English (our working language)

Nice to Haves

Coursework or project experience in distributed systems, operating systems, networking or databases
Experience with streaming or messaging technologies (e.g., Kafka, Pulsar, Kinesis)
Interest in performance engineering: profiling, benchmarking, concurrency and memory efficiency
Familiarity with data formats and pipelines (Parquet, Avro, JSON, ETL/ELT)
Exposure to Linux, containers or Kubernetes, and cloud platforms (AWS, Azure or GCP)
Familiarity with observability: metrics, logging, tracing (e.g., OpenTelemetry)
Familiarity with SQL and relational databases
Open-source contributions or substantial personal or academic systems projects
A previous software engineering internship

Design, build and test features for production systems in data ingestion or platform infrastructure
Write clean, well-tested, production-quality code in Java, C++, Go, Rust or Python
Profile, benchmark and optimize systems where throughput, latency and reliability really matter
Help improve observability, testing and automation, so that issues are found before customers notice them
Take part in design discussions and code reviews with senior engineers
Present your work to the wider Warsaw engineering team at the end of your internship

Hands-on experience building systems that process data at very large scale in production
Mentorship from senior engineers in a world-class engineering organization
Deep exposure to distributed systems, performance engineering and cloud infrastructure
Experience across the full software development lifecycle, from design and implementation to testing and release
A network inside one of the fastest-growing cloud data companies in the world