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senior java full stack angular developer with aws and kafka

Java, Java 8, Angular, Amazon Web Services, Apache Kafka, Spring Boot, Microservice Architecture Pattern, SQL, REST, Unit Testing, CI/CD
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Looking for a Senior Java Developer to join our remote team and help us build a cutting-edge e-commerce platform. Our client is a leading online retailer in the fashion industry, and we are looking for someone who is passionate about delivering high-quality software solutions that meet business needs. As a Senior Java Developer, you will be responsible for designing, developing, and maintaining complex software systems that drive our e-commerce platform.

  • Design, develop, and maintain complex software systems for our e-commerce platform
  • Collaborate with cross-functional teams to define and implement software solutions that meet business needs
  • Build scalable and fault-tolerant systems using Microservice Architecture Pattern and AWS
  • Write high-quality, maintainable, and testable code using Java, Angular, and Spring Boot
  • Implement unit tests and automated tests using JUnit, Mockito, and Selenium
  • Create and maintain technical documentation
  • Participate in code reviews to ensure code quality and share knowledge with the team
  • Bachelor's degree in Computer Science or a related field
  • At least 3 years of experience in Java development
  • Strong knowledge of Java 8, Angular, and Spring Boot
  • Experience with Microservice Architecture Pattern and RESTful web services
  • Experience with Amazon Web Services (AWS) and CI/CD pipelines
  • Solid understanding of SQL and database design principles
  • Experience with Apache Kafka for building scalable event-driven systems
  • Experience with unit testing and test-driven development (TDD)
  • Strong problem-solving and debugging skills
  • Excellent written and verbal communication skills in English (Upper-Intermediate level or higher)
nice to have
  • Experience with JavaScript frameworks such as React or Vue.js
  • Experience with NoSQL databases such as MongoDB or Cassandra
  • Experience with Docker and Kubernetes
  • Experience with Apache Spark for big data processing
  • Experience with machine learning and data science

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