Senior Java Backend Engineer

Roles and responsibilities

We are seeking a highly experienced Senior Java Backend Resource with extensive experience in developing Payment Gateway solutions. The ideal candidate will have a strong background in Java, EJB, Microservices, MVC Framework, Oracle and experience in building highly scalable, high-transactional systems.

Responsibilities

• Design, develop and maintain a highly scalable, high-transactional Payment Gateway solution using Java, J2EE, EJB, Microservices, MVC Framework.
• Develop and maintain SOAP/RESTful APIs for Payment Gateway integration with third-party vendors and clients.
• Ensure the reliability, availability, and performance of the Payment Gateway solution through continuous monitoring, testing, and improvement.
• Collaborate with cross-functional teams to gather requirements and develop solutions that meet the needs of the business and clients.
• Maintain high standards of quality for code, documentation, and other deliverables
• Proactively identify and resolve issues related to Payment Gateway operations.
• Troubleshoot and debug applications 8. Stay up-to-date with emerging technologies and trends in Payment Gateway solutions and implement them in the development process as appropriate.
  

Requirements

• Solid experience in developing Payment Gateway solutions using Java, J2EE, EJB, Microservice and MVC Framework.
• Extensive experience in developing SOAP/RESTful APIs for Payment Gateway integration with third-party vendors and clients.
• Good working knowledge of design patterns & OOAD
• Strong understanding of Payment Gateway architecture, including encryption, tokenization, and security standards.
• Solid understanding of software development principles and design patterns.
• Strong proficiency with Oracle SQL
• Experience with Agile, build management, continuous integration, continuous delivery, data structures/algorithms
• Excellent problem-solving and troubleshooting skills.
• Experience with payment processing
• Knowledge of distributed systems and memory and performance optimization
• Excellent communication and collaboration skills.
• Ability to work in a fast-paced, dynamic environment with multiple priorities and deadlines.

Desired candidate profile

1. Core Java Expertise

• Deep knowledge of Java: Expertise in Java SE and Java EE, understanding object-oriented programming (OOP) principles, multithreading, and memory management.
• Concurrency & Multithreading: Knowledge of Java’s concurrency utilities (e.g., ExecutorService, CountDownLatch, Semaphore) and ability to write thread-safe code.
• Java Memory Management: Understanding JVM internals, garbage collection, heap and stack memory, and performance tuning.
• Java Libraries & Frameworks: Proficiency with commonly used Java libraries and frameworks like Spring, Spring Boot, Hibernate, JPA (Java Persistence API), and Apache Camel.

2. Backend Frameworks & Technologies

• Spring Framework: Extensive experience with Spring Boot, Spring MVC, Spring Security, Spring Cloud for building scalable microservices and enterprise-level applications.
• Microservices Architecture: Designing, developing, and deploying microservices with Java using tools like Spring Cloud, Docker, and Kubernetes.
• RESTful APIs: Designing and implementing scalable and secure RESTful services, including API documentation (e.g., Swagger/OpenAPI).
• WebSockets: Understanding real-time communication protocols and implementing WebSocket-based solutions where needed.

3. Database & Data Management

• Relational Databases: Proficiency in SQL and experience with relational databases like MySQL, PostgreSQL, or Oracle.
• NoSQL Databases: Familiarity with NoSQL databases like MongoDB, Cassandra, Redis, or Elasticsearch for high-volume and low-latency applications.
• ORM Frameworks: Deep understanding of Hibernate, JPA, or MyBatis for object-relational mapping and database interaction.
• Database Optimization: Experience in query optimization, indexing, and database schema design.

4. Cloud & DevOps

• Cloud Platforms: Experience with AWS, Azure, or Google Cloud Platform (GCP) for hosting backend services, serverless computing, and storage.
• CI/CD: Strong understanding of Continuous Integration/Continuous Deployment (CI/CD) pipelines using tools like Jenkins, GitLab CI, or CircleCI.
• Containers & Orchestration: Proficiency in Docker, and Kubernetes for containerization, orchestration, and microservices deployment.
• Monitoring & Logging: Implementing application monitoring and logging solutions using tools like Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), or Splunk.