Software Dev Engineer, Supply Chain Optimization Technologies - Planning
Job ID: 10529225 | Amazon EU Sarl
Description
Do you want to solve real customer problems through innovative technology? At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Our Software Development Engineers (SDEs) use modern technology to solve complex problems while seeing their work's impact first-hand.
As an SDE-I, you'll own the entire lifecycle of your code from design through deployment and ongoing operations. You will design and build scalable, fault-tolerant distributed systems using cloud-native architectures and microservices. You'll work in an agile environment practising CI/CD principles, participate in code reviews, contribute to technical documentation, and take part in on-call operational responsibilities
Key job responsibilities
Design, develop, and deploy scalable microservices using Java and Spring Boot (or equivalent frameworks) in a large distributed computing environment hosted on AWS
Write clean, maintainable, production-quality code with comprehensive unit and integration test coverage
Build and operate resilient distributed systems that are fault-tolerant, horizontally scalable, and cost-effective
Participate in technical design discussions, code reviews, and architectural decision-making with cross-disciplinary teams
Implement and maintain CI/CD pipelines for automated build, test, and deployment workflows
Monitor, troubleshoot, and resolve production issues; participate in on-call rotations to ensure 24/7 system availability
Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity
Collaborate effectively with international, multilingual teams across multiple time zones
Basic Qualifications
Education: Currently enrolled in or completed a Bachelor's or Graduate degree in Computer Science, Software Engineering, Data Science, or a related STEM field (minimum 60 ECTS in programming, algorithms, and systems).
Expected graduation between October 2025 - September 2026, or graduated within the last 24 months.
Technical Requirements:
Java: 1+ year hands-on experience developing applications, including object-oriented design patterns and the Java Collections Framework
Spring Framework: Experience with Spring Boot or Spring MVC, including dependency injection and RESTful API development
Data Structures & Algorithms: Practical implementation of core structures (arrays, linked lists, hash maps, trees, graphs) and algorithms (sorting, searching, recursion, dynamic programming) — evidenced through coursework, competitive programming, or projects
SQL: Experience writing queries (SELECT, JOIN, GROUP BY, subqueries) with at least one RDBMS (PostgreSQL, MySQL, or Oracle), including basic schema design
Git: Collaborative experience including branching, merging, pull requests, and conflict resolution
Cloud Computing: Basic experience with AWS (preferred), Azure, or GCP, including deploying applications
Testing: Unit and integration testing experience (JUnit, Mockito, or equivalent) with TDD principles
SDLC: Full development cycle exposure via internship (3+ months) or capstone project
CI/CD: Experience with at least one tool (Jenkins, GitHub Actions, or equivalent)
Communication: Professional English proficiency (B2+ CEFR)
Preferred Qualifications
Previous technical internship(s) of 6+ months in a software engineering role
Experience with microservices architecture and distributed systems design patterns
Familiarity with containerization (Docker) and orchestration (Kubernetes, ECS)
Experience with NoSQL databases (DynamoDB, MongoDB, Redis)
Exposure to AI/ML concepts, GenAI tools, or machine learning frameworks (TensorFlow, PyTorch)
Experience with monitoring and observability tools (CloudWatch, Grafana, Datadog)
Knowledge of cybersecurity fundamentals (OWASP Top 10, secure coding practices, identity management)
Additional language proficiency (German, Luxembourgish) is an advantage
Contributions to open-source projects or published technical work
Experience with agile methodologies (Scrum, Kanban) and tools (Jira, Confluence)
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates.
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