Java Backend Developer

We are seeking an experienced Senior Java Backend Developer to join a global engineering team supporting an automotive production environment., * Design, develop, and maintain production-grade backend applications using Java and Spring Boot.

• Develop and enhance services within a microservices-based architecture.
• Work with relational databases and develop efficient, reliable SQL-based solutions.
• Design and troubleshoot integrations across distributed and production-critical systems.
• Develop and maintain asynchronous, event-driven processing and messaging-based integrations.
• Understand and handle messaging scenarios including:
• At-least-once delivery
• Idempotency
• Message ordering
• Duplicate processing
• Poison messages
• Backpressure
• Diagnose complex production issues by correlating application logs, database states, and message flows across distributed components.
• Use AI-assisted and agentic development tools such as Copilot CLI, Claude, and GitHub Copilot in IntelliJ, including MCP-, agent-, and skills-based workflows.
• Independently review and validate AI-generated code for:
• Functional correctness
• Maintainability
• Security
• Architectural compliance
• Act as a senior technical gatekeeper, ensuring AI-generated or AI-assisted implementations meet established engineering standards before integration.
• Participate in code reviews, technical discussions, testing, and continuous improvement activities.
• Collaborate effectively with international engineering teams and stakeholders while working with a high degree of autonomy.

The role requires strong hands-on experience in Java, Spring Boot, microservices, and distributed systems, with the ability to troubleshoot complex production issues across application logs, databases, and asynchronous message flows.

A key aspect of this role is the effective use of AI-assisted and agentic software engineering workflows. The developer should be comfortable using modern AI development tools while independently reviewing, validating, and taking responsibility for AI-generated code before it is introduced into the application.

The ideal candidate is a senior, self-driven engineer who can operate with minimal coordination and contribute effectively within an international and production-focused engineering environment., * Java

• Spring Boot
• Microservices Architecture
• Distributed Systems
• SQL & Relational Databases
• Event-Driven Architecture
• Messaging Systems
• Production Support & Troubleshooting
• Application Log Analysis
• AI-Assisted Development Tools (GitHub Copilot, Copilot CLI, Claude)
• Code Review & Technical Governance, * MCP (Model Context Protocol) based workflows
• Agentic Software Engineering Practices
• Automotive Manufacturing Domain Experience
• Performance Optimization in Distributed Systems
• CI/CD and DevOps Exposure
• Cloud-Native Application Development, Mandatory Skills
• Strong hands-on development experience with Java and Spring Boot across multiple projects.
• Experience working with production-critical and/or integration-heavy systems.
• Solid knowledge of SQL and relational databases.
• Demonstrated experience designing and developing applications within microservice architecture landscapes.
• Strong understanding of distributed systems and asynchronous/event-driven processing.
• Practical knowledge of messaging concepts, including at-least-once delivery, idempotent consumers, message ordering, duplicate handling, poison messages, and backpressure.
• Strong production debugging and root-cause analysis skills, including investigation across logs, database state, and message flows.
• Hands-on experience using AI-assisted/agentic development workflows such as Copilot CLI, Claude, GitHub Copilot in IntelliJ, MCP, agents, or skills.
• Ability to critically review, validate, and improve AI-generated code rather than relying on generated output without technical verification.
• Ability to work independently with minimal coordination and take end-to-end ownership of assigned technical topics.

Preferred Skills

• Experience with Hexagonal Architecture.
• Hands-on experience with RabbitMQ.
• Experience with PostgreSQL.
• Experience with contract and interface testing, particularly within integration-heavy environments.
• Experience with Kubernetes.
• Exposure to observability and logging platforms such as Loki, Grafana, or similar tools.
• Experience with static code analysis and security scanning tools such as SonarQube.
• Experience reviewing AI-generated code for security vulnerabilities, including SQL injection, hardcoded credentials/secrets, and unvalidated or unchecked inputs.
• Experience working with production systems in the Automotive or Manufacturing domain.

Soft Skills

• Strong analytical and problem-solving capabilities.
• High degree of ownership and accountability.
• Ability to work independently and make sound technical decisions.
• Strong communication and collaboration skills.
• Ability to work effectively with distributed and international teams.
• Quality-focused mindset with attention to production stability and security.
• Comfortable challenging, reviewing, and validating technical solutions, including AI-generated solutions., * 5 to 8 years of professional software development experience.
• Strong hands-on experience in Java and Spring Boot backend development.
• Demonstrated experience with microservices, distributed systems, and production support/debugging.
• Experience across multiple client or enterprise projects is preferred.
• Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related discipline.