{"id":2811287,"url":"https://alion.io/job/amazon-software-dev-engineer-supply-chain-optimization-technologies-planning","title":"Software Dev Engineer, Supply Chain Optimization Technologies - Planning","company":{"id":19,"name":"Amazon","domain":"amazon.com","url":"https://alion.io/company/amazon","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":83,"open_postings":4168,"ghost_share":0,"stale_share":0.883,"repost_share":0.001,"time_to_fill_p50_days":16,"computed_at":"2026-10-19T05:45:15Z"}},"role":"Backend","role_family":"Backend","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Luxembourg City, Luxembourg"],"countries":["LU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Dependency Injection","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"JUnit","optional":false},{"name":"Mockito","optional":false},{"name":"MySQL","optional":false},{"name":"Oracle","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Spring Boot","optional":false},{"name":"Spring Framework","optional":false},{"name":"Spring MVC","optional":false},{"name":"SQL","optional":false},{"name":"Amazon CloudWatch","optional":true},{"name":"Amazon ECS","optional":true},{"name":"Confluence","optional":true},{"name":"Datadog","optional":true},{"name":"Docker","optional":true},{"name":"DynamoDB","optional":true},{"name":"Grafana","optional":true},{"name":"Jira","optional":true},{"name":"Kanban","optional":true},{"name":"Kotlin","optional":true},{"name":"Kubernetes","optional":true},{"name":"Machine Learning","optional":true},{"name":"OWASP Top 10","optional":true},{"name":"PyTorch","optional":true},{"name":"Redis","optional":true},{"name":"Scrum","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-09-14T00:00:00Z","employer_posted_date":"2026-10-18","last_verified_at":"2026-10-19T10:05:12Z","board_verified":true,"closed_at":null,"days_open":35,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":35},"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. \nAs 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\nKey job responsibilities\nDesign, develop, and deploy scalable microservices using Java and Spring Boot (or equivalent frameworks) in a large distributed computing environment hosted on AWS \nWrite clean, maintainable, production-quality code with comprehensive unit and integration test coverage \nBuild and operate resilient distributed systems that are fault-tolerant, horizontally scalable, and cost-effective \nParticipate in technical design discussions, code reviews, and architectural decision-making with cross-disciplinary teams \nImplement and maintain CI/CD pipelines for automated build, test, and deployment workflows \nMonitor, troubleshoot, and resolve production issues; participate in on-call rotations to ensure 24/7 system availability \nLeverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity \nCollaborate effectively with international, multilingual teams across multiple time zones\nBasic qualifications\nEducation: 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). \nExpected graduation between October 2025 - September 2026, or graduated within the last 24 months. \nTechnical Requirements: \nJava: 1+ year hands-on experience developing applications, including object-oriented design patterns and the Java Collections Framework \nSpring Framework: Experience with Spring Boot or Spring MVC, including dependency injection and RESTful API development \nData 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 \nSQL: Experience writing queries (SELECT, JOIN, GROUP BY, subqueries) with at least one RDBMS (PostgreSQL, MySQL, or Oracle), including basic schema design \nGit: Collaborative experience including branching, merging, pull requests, and conflict resolution \nCloud Computing: Basic experience with AWS (preferred), Azure, or GCP, including deploying applications \nTesting: Unit and integration testing experience (JUnit, Mockito, or equivalent) with TDD principles \nSDLC: Full development cycle exposure via internship (3+ months) or capstone project \nCI/CD: Experience with at least one tool (Jenkins, GitHub Actions, or equivalent) \nCommunication: Professional English proficiency (B2+ CEFR)\nPreferred qualifications\nPrevious technical internship(s) of 6+ months in a software engineering role \nExperience with microservices architecture and distributed systems design patterns \nFamiliarity with containerization (Docker) and orchestration (Kubernetes, ECS) \nExperience with NoSQL databases (DynamoDB, MongoDB, Redis) \nExposure to AI/ML concepts, GenAI tools, or machine learning frameworks (TensorFlow, PyTorch) \nExperience with monitoring and observability tools (CloudWatch, Grafana, Datadog) \nKnowledge of cybersecurity fundamentals (OWASP Top 10, secure coding practices, identity management) \nAdditional language proficiency (German, Luxembourgish) is an advantage \nContributions to open-source projects or published technical work \nExperience with agile methodologies (Scrum, Kanban) and tools (Jira, Confluence) \nAmazon 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 (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.\nOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. 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