2027 Software Dev Engineer Intern - Germany
Amazon · up to 40 hours a week
What you will do
Key job responsibilities Collaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, build, and operate innovative products and services that delight our customers, while participating in technical discussions to drive solutions forward. Break down complex, ambiguous problems into well-defined, solvable components before implementation. Contribute to the design and development of scalable, reliable services, with distributed-systems scope varying by team. Participate in code reviews as a core engineering practice, providing constructive feedback and validating correctness. Contribute to clear and accurate technical documentation. Use GenAI and AI-powered tools to enhance development productivity, and critically validate, verify, and integrate AI-generated code, exercising sound judgement about when to trust AI output. Write clean, maintainable code following best practices and design patterns. Work in an agile environment practicing CI/CD principles while participating in operational responsibilities including on-call duties. Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues.
What you need
Basic Qualifications
- Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields
- Experience with at least one general-purpose programming language such as Java, Python, C++, C#, Go, Rust, or TypeScript
- Knowledge of computer science fundamentals such as object-oriented design, operating systems, algorithms, data structures, and complexity analysis
Preferred Qualifications
- Experience from previous technical internship(s) or demonstrated project experience
- Experience with Cloud platforms (preferably AWS), database systems (SQL and NoSQL), AI tools for development productivity, contributing to open-source projects, and/or version control systems
- Experience using AI-assisted development tools in academic or professional settings
- Strong problem decomposition, problem-solving, and analytical skills
- Demonstrated ownership and initiative in seeing work through from design to operation
- Excellent written and verbal communication skills