Software Development Engineer II (Java Backend)

Job Description

At SIXT, we are engineering the future of mobility one system at a time. As a Backend Engineer in our BranchOps team, you will engineer the systems that power the full vehicle turnaround lifecycle and branch-level fleet orchestration, with deep integration into our IoT-connected fleet infrastructure. This is a role where backend engineering meets real-world operations at scale, in a team that builds with purpose and moves with pace.

YOUR ROLE AT SIXT

• You will design and build robust backend services in Java that power vehicle turnaround and fleet orchestration workflows
• You will contribute to the design and evolution of distributed, event-driven systems that operate at branch level and at global scale
• You will develop and maintain shared libraries and internal tooling that improve reliability and delivery speed across the BranchOps engineering team
• You will collaborate closely with product, operations, and engineering stakeholders to translate complex business workflows into scalable technical solutions
• You will actively integrate AI coding tools such as Claude and Cursor into your daily development workflow, helping to embed AI-assisted engineering as a standard practice within the team

YOUR SKILLS MATTER

• Education: You hold a B.Tech, B.E., or Masters Degree in Computer Science or a related discipline
• Experience: You bring 4 6 years of hands-on backend engineering experience, ideally in cloud-native or distributed systems environments where scalability and reliability were non-negotiable
• Tech Stack: You have solid, production-level experience with Java and Spring Boot, and are comfortable working within a modern microservices architecture
• Architecture: You have practical exposure to designing or contributing to distributed systems and understand the fundamentals of building services that are resilient and maintainable at scale
• Messaging Streaming: You are familiar with event-driven patterns and message brokers such as Apache Kafka, and understand how pub-sub models support loosely coupled system design
• AI Tooling: You actively use AI coding assistants such as Claude or Cursor to accelerate your development, while applying sound engineering judgment to validate, review, and own the output

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