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READ IT IN THE EMPLOYER’S OWN WORDS
Original job description
Reading view uses normalized posting text so exact evidence excerpts can be highlighted.
Join TomTom’s map-making platform team in Łódź as a Software Engineering Intern. You’ll make our map-data quality checks faster and more reliable with Java, performance analysis and AI coding tools, and take part in daily platform engineering work. Hybrid, starting February 2027, 6 months.
What you'll do:
Join the team that runs the platform behind TomTom’s map-making, and take part in daily platform work
Read full descriptionShow less description
Make our map-data quality checks faster and more reliable: profile slow rules, improve queries and logic, and show that quality stays the same
Use logs, metrics and dashboards as your first step when investigating issues, and add that context to tickets
Work inside our CI/CD pipelines: run builds, find which stage failed and fix simple pipeline or configuration issues
Write clean, tested Java code with JUnit unit tests, and learn from code reviews
Measure before and after: collect run times and failure counts and share the results in simple tables or charts
Use AI coding agents and MCP tools to speed up your coding, analysis and documentation
What you'll need:
Must-have:
Currently studying Computer Science, Software Engineering or a related field
Programming skills in at least one language, ideally Java
A good grasp of basic data structures and algorithms
Basic SQL and an understanding of relational databases
Familiarity with Git and basic testing concepts (unit, functional and regression testing)
Hands-on use of AI tools for coding or research, and the habit of checking what they produce
Good English, curiosity and openness to feedback
Nice-to-have:
Spring Boot, Maven or JUnit experience
Exposure to CI/CD, Docker or Kubernetes, or a cloud platform such as AWS
Experience with an AI coding agent in your IDE or CLI, or with MCP clients
Python for scripting
Interest in maps, geospatial data or performance tuning
What you can expect:
Real work on a production platform with clear, measurable goals
A dedicated mentor and regular code reviews from experienced engineers
Team knowledge-sharing sessions and hands-on learning in Java, cloud, CI/CD and AI tooling
Hybrid work from our Łódź office
Original formatting and links
Join TomTom’s map-making platform team in Łódź as a Software Engineering Intern. You’ll make our map-data quality checks faster and more reliable with Java, performance analysis and AI coding tools, and take part in daily platform engineering work. Hybrid, starting February 2027, 6 months.
What you'll do:
Join the team that runs the platform behind TomTom’s map-making, and take part in daily platform work
Make our map-data quality checks faster and more reliable: profile slow rules, improve queries and logic, and show that quality stays the same
Use logs, metrics and dashboards as your first step when investigating issues, and add that context to tickets
Work inside our CI/CD pipelines: run builds, find which stage failed and fix simple pipeline or configuration issues
Write clean, tested Java code with JUnit unit tests, and learn from code reviews
Measure before and after: collect run times and failure counts and share the results in simple tables or charts
Use AI coding agents and MCP tools to speed up your coding, analysis and documentation
What you'll need:
Must-have:
Currently studying Computer Science, Software Engineering or a related field
Programming skills in at least one language, ideally Java
A good grasp of basic data structures and algorithms
Basic SQL and an understanding of relational databases
Familiarity with Git and basic testing concepts (unit, functional and regression testing)
Hands-on use of AI tools for coding or research, and the habit of checking what they produce
Good English, curiosity and openness to feedback
Nice-to-have:
Spring Boot, Maven or JUnit experience
Exposure to CI/CD, Docker or Kubernetes, or a cloud platform such as AWS
Experience with an AI coding agent in your IDE or CLI, or with MCP clients
Python for scripting
Interest in maps, geospatial data or performance tuning
What you can expect:
Real work on a production platform with clear, measurable goals
A dedicated mentor and regular code reviews from experienced engineers
Team knowledge-sharing sessions and hands-on learning in Java, cloud, CI/CD and AI tooling