Java Developer (Kotlin / Vert.X / RxJava)

Position: Java Developer (Kotlin / Vert.X / RxJava)

Location: Phoenix, AZ (Onsite)
Employment Type: Contract

Role Summary:

We are seeking an experienced Java Developer with strong expertise in Kotlin, Vert.X, and RxJava frameworks to design and develop scalable, high-performance applications. The ideal candidate will have deep technical proficiency in Java/J2EE and Spring Boot , along with a willingness to explore Large Language Models (LLMs) and Generative AI technologies.

Key Responsibilities:

• Design and develop high-performing, distributed applications using Java/J2EE , Kotlin , Vert.X , and RxJava .

• Build and optimize RESTful APIs and microservices architecture.

• Collaborate with cross-functional teams to develop, test, and deploy robust backend solutions.

• Work with JSON , Web Services , and complex data structures for integration and interoperability.

• Participate in the full SDLC—design, development, testing, deployment, and support.

• Apply best practices in code quality , version control (GIT) , and CI/CD automation .

• Work with SQL and NoSQL databases such as Oracle , DB2 , Cassandra , and Couchbase .

• Implement automated testing using Selenium , REST Assured , and Cucumber .

• Leverage JIRA/Rally and Agile methodologies for sprint planning and progress tracking.

• Stay updated with emerging technologies like Generative AI and integrate them into business solutions.

Required Skills & Experience:

• 6-10 years of software development experience.

• Strong proficiency in Java/J2EE , Spring Boot , Vert.X , RxJava , and Kotlin .

• Hands-on experience in REST API development and integration.

• Deep understanding of JSON , Web Services , and multi-tier distributed systems .

• Knowledge of object-oriented design principles and code optimization techniques .

• Experience with SQL and NoSQL databases (Oracle, DB2, Cassandra, Couchbase).

• Proficient in CI/CD tools such as Jenkins , Maven , Nexus , and GIT .

• Strong understanding of test automation frameworks and tools.

• Familiarity with Agile development methodologies and lifecycle management tools ( JIRA , Rally ).

Nice to Have:

• Exposure to LLMs (Large Language Models) and Generative AI projects.

• Experience with containerization technologies such as Docker and Kubernetes.

• Familiarity with cloud platforms (AWS, GCP, or Azure).