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senior java full stack angular software engineer with aws

bullets
Java, Java 8, Angular, Amazon Web Services, Apache Kafka, Spring Boot, Microservice Architecture Pattern, SQL, REST, Unit Testing, CI/CD
bullets
Uruguay

We are looking for an experienced Senior Java Developer to join our remote team and work on exciting projects. Our client is a leading provider of innovative software solutions in the healthcare industry, and we are looking for someone who can contribute to the development of our core products. As a Senior Java Developer, you will have the opportunity to work with cutting-edge technologies and help shape the direction of our software development efforts.

responsibilities
  • Design and develop high-quality software solutions that meet or exceed customer requirements
  • Collaborate with cross-functional teams to identify and address technical challenges and issues
  • Provide technical leadership and mentorship to junior developers
  • Participate in code reviews and contribute to the development of best practices and coding standards
  • Ensure code quality through unit testing, code reviews, and other quality control measures
  • Continuously improve software development processes and methodologies
  • Stay up-to-date with emerging trends and technologies in software development
requirements
  • At least 3 years of experience in Java development, with a strong focus on Java 8
  • Solid experience with Angular, Amazon Web Services, Apache Kafka, Spring Boot, Microservice Architecture Pattern, SQL, REST, Unit Testing, and CI/CD
  • Experience working with Agile methodologies and development practices such as TDD, BDD, and Pair programming
  • Strong analytical and problem-solving skills, with the ability to quickly identify and resolve issues
  • Excellent verbal and written communication skills, with the ability to effectively communicate technical information to both technical and non-technical stakeholders
  • Bachelor's or Master's degree in Computer Science or a related field
nice to have
  • Experience with Docker, Kubernetes, and other containerization technologies
  • Familiarity with machine learning and data analytics technologies
  • Ability to speak multiple languages
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