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Java Backend Developer
Posted 2 months ago
About the role
- Java Backend Developer responsible for enterprise-grade applications and cloud-native deployments while ensuring best practices in software design. Leading development efforts with a wide technology stack in a collaborative team environment.
Responsibilities
- Develop enterprise-grade Java applications with a focus on J2EE.
- Design and implement microservices architectures and REST APIs.
- Write complex SQL queries for database management and performance optimization.
- Deploy cloud-native applications on platforms like AWS or Azure.
- Ensure adherence to modern software design principles for maintainable and scalable code.
- Utilize a broad technology stack, simplifying and creating libraries/interfaces for various tools.
- Lead development efforts, conducting code reviews and test strategy development.
- Collaborate with cross-functional teams and resolve operational issues.
Requirements
- Java Expertise: Has at least 9+ years of hands-on Java development experience, specifically in J2EE (Java 2 Platform, Enterprise Edition).
- Microservices and REST API Proficiency: Skilled in developing web services, particularly microservices architectures, and REST APIs.
- Database and SQL Skills: Proficient in Oracle Database, with expertise in writing complex SQL queries.
- Cloud-Native and Platform Experience: Familiarity with cloud platforms, preferably AWS or Azure.
- Modern Software Design Principles: Deep understanding of design principles like SOLID, DRY (Don't Repeat Yourself), and Single Responsibility.
- Broad Technology Stack Experience: Familiar with a range of modern tools and technologies, including NiFi, NATS, Kafka, Zookeeper, Splunk, Redis, Cassandra, and Oracle.
- Leadership and Collaboration Skills: Experience driving end-to-end development, conducting code reviews, developing test strategies, coordinating with cross-functional teams, and resolving operational issues.
- Performance Optimization and Code Reviews: Skilled in performance code reviews and implementing best practices for efficient, scalable code.
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