Senior Java Backend Developer
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Summary
A senior backend engineer who designs, builds, tests, and maintains Java-based applications and microservices, developing RESTful APIs with Spring/Spring Boot and integrating with relational databases, Kafka, and third-party services. Work spans performance tuning, troubleshooting, and code reviews in enterprise environments, ideally in banking/financial services.
- Design, develop, test, deploy, and maintain robust Java-based applications and microservices.
- Develop, enhance, and maintain RESTful APIs using Java, Spring, and Spring Boot.
- Collaborate with cross-functional teams to deliver high-quality software solutions and new features.
- Integrate applications with databases, APIs, messaging platforms, and third-party services.
- Troubleshoot, debug, and optimize applications for performance, scalability, availability, and reliability.
- Participate in code reviews and promote adherence to coding standards, development best practices, and software engineering principles.
- Contribute to technical design discussions and continuous improvement of backend systems and development processes.
- Stay current with emerging technologies, tools, and industry trends in Java and backend development.
Required Qualifications & Experience
- Strong expertise in software development and enterprise application delivery.
- Strong hands-on experience with Java, including proficiency in Spring Framework, Spring Boot, Hibernate, and related technologies.
- Solid understanding of Object-Oriented Programming (OOP), design patterns, data structures, and software engineering principles.
- Proven experience designing and developing RESTful APIs, microservices, and scalable backend applications.
- Experience building and supporting highly available, distributed backend systems in enterprise environments.
- Strong knowledge of relational databases such as Oracle, PostgreSQL, SQL Server, or MySQL, including data modeling and query optimization.
- Familiarity with Apache Kafka, event-driven architectures, Kubernetes, and OpenShift.
- Experience with monitoring, logging, and troubleshooting tools such as Splunk and application tracing/observability tools.
- Strong understanding of concurrency, multithreading, and application performance tuning.
- Demonstrated ability to troubleshoot complex technical issues and optimize application performance in production environments.
- Experience in the banking and financial services domain is preferred.