Senior Java Backend Developer
Posted Updated
Summary
Senior backend developer building and owning scalable Java 17+/Spring Boot services, REST/GraphQL APIs, and event-driven systems (Kafka, MQTT, RabbitMQ) on-site in Istanbul/Gebze. The role emphasizes database/SQL work, JVM performance, clean architecture, and hands-on use of AI-assisted development tools.
We are looking for a Senior Java Backend Developer to join our engineering team in an on-site working model at our Istanbul / Gebze office. The role involves hands‑on backend development, architectural ownership, and effective use of AI‑assisted development tools to improve code quality and engineering efficiency.
Responsibilities
- Design, develop, and maintain scalable backend services using Java and Spring Boot
- Own the design and evolution of REST and/or GraphQL APIs
- Take responsibility for backend architecture and long‑term technical decisions
- Design and optimize database schemas and complex SQL queries
- Implement and maintain event‑driven and message‑based systems (Kafka, MQTT, RabbitMQ)
- Leverage AI tools (e.g. code assistants, AI‑powered IDE features) to improve development speed and quality
- Conduct code reviews and enforce clean code and best practices
- Identify, prioritize, and reduce technical debt
- Improve system performance, stability, and reliability
- Collaborate closely with on‑site engineers and stakeholders
Requirements
- 4+ years of professional experience in Java backend development
- Strong expertise in Java (17+) and the Spring Boot ecosystem
- Proven experience building and maintaining production‑grade backend systems
- Advanced knowledge of RESTful API design and backend architecture
- Strong SQL skills and experience with relational databases
- Deep understanding of JPA / Hibernate, including performance tuning
- Solid knowledge of concurrency, multithreading, and JVM performance
- Experience with Git and CI/CD pipelines
- Hands‑on experience using AI‑assisted development tools (e.g. ChatGPT, GitHub Copilot, Cursor, IDE AI features)
- Strong understanding of clean code, SOLID principles, and design patterns
Nice to Have
- Experience integrating AI or ML‑based services into backend systems
- Experience with Kafka, MQTT, or real‑time data processing
- Docker and container‑based deployment experience
- Familiarity with cloud platforms (GCP, AWS, etc.)
- Microservices and distributed systems experience
- Observability tools (Prometheus, Grafana, ELK stack)
- Experience with IoT or high‑throughput systems
What We Offer
- On‑site collaboration with a highly technical engineering team
- Direct impact on architectural and technical decisions
- Long‑term, stable projects with real production usage
- Engineering‑driven culture that encourages effective AI usage