Senior Java Backend Developer

RIGHTYON TECHNOLOGY; Gebze; On-site; TRY 600,000 - 1,000,000; Full time

Benefits offered by this job

On-site collaboration with engineering

Direct impact on architectural choices

Long-term production projects

AI-enabled engineering culture

Job summary

RIGHTYON TECHNOLOGY in Istanbul/Gebze seeks a Senior Java Backend Developer to own backend architecture and hands-on development. The role emphasizes scalable services, REST/GraphQL APIs, and close collaboration with on-site engineers to deliver long-term production-grade systems.

You will leverage AI-assisted development tools to boost speed and quality, manage database schemas, optimize queries, and drive architectural decisions within an engineering-driven culture.

Qualifications

• 4+ years of professional experience in Java backend development.

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 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.

Skills

Java 17+

Spring Boot

RESTful APIs

SQL

JPA / Hibernate

Concurrency & Multithreading

Clean Code & SOLID

Design Patterns

AI-assisted development tools

Code reviews & best practices

Tools

Git

CI/CD pipelines

Docker

AI tools (Copilot, ChatGPT, Cursor)

Cloud platforms (GCP/AWS)

Kafka/MQTT

Job description

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