Java Developer

Hire type:
Contract on W2

JD:

We are looking for a highly skilled Senior Java Backend Developer to join our dynamic engineering team. The ideal candidate will have extensive experience in Java development, modern backend technologies, cloud-native applications, and CI/CD processes. You will be responsible for building and supporting scalable, secure, and high-performance applications and services.

• Design, develop, and maintain applications using Java 8, 11, and 17.
• Build microservices and web applications using Spring Framework and Spring Boot.
• Develop secure RESTful and SOAP-based web services.
• Implement OAuth 2.0 and JWT for secure API authentication and authorization.
• Containerize applications using Docker and manage deployments on Kubernetes.
• Integrate and manage messaging systems using Rabbit
  
  MQ (RMQ).
• Collaborate in CI/CD processes using Git Lab, ensuring robust code delivery pipelines.
• Work with Vault or similar tools for secrets and configuration management.
• Use Visual Studio Code or Intelli
  
  J for efficient Java development.
• Provide on-call production support and troubleshoot issues across environments.
• Assist in production deployments and ensure stable releases.
• Collaborate closely with cross-functional teams and adhere to Agile processes.
• Follow software development best practices and maintain high code quality standards.

• Strong experience with Java (versions 8, 11, 17).
• Expertise in Spring Framework, Spring Boot.
• Solid understanding of RESTful and SOAP-based services.
• Experience with OAuth 2.0, JWT, and API security practices.
• Hands-on experience with Docker and Kubernetes.
• Experience with Rabbit
  
  MQ or similar messaging technologies.
• Good understanding of CI/CD pipelines, especially with Git Lab.
• Familiarity with secrets management tools like Vault.
• Proficiency in debugging, performance tuning, and issue resolution.
• Prior experience supporting production environments and deployments.
• Strong adherence to SDLC and Agile methodologies.

• Experience with cloud platforms (AWS, GCP, or Azure).
• Exposure to monitoring tools like Prometheus, Grafana, or ELK Stack.
• Familiarity with feature flagging and canary deployments