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Senior Java Backend Developer
Senior Java Backend DeveloperCynet Systems • Kansas City, KS
Senior Java Backend Developer

Senior Java Backend Developer

Cynet Systems • Kansas City, KS
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Job Description:

Responsibilities:
  • 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 RabbitMQ (RMQ).
  • Collaborate in CI/CD processes using GitLab, ensuring robust code delivery pipelines.
  • Work with Vault or similar tools for secrets and configuration management.
  • Use Visual Studio Code or IntelliJ 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.
Required Skills And Qualifications:
  • 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 RabbitMQ or similar messaging technologies.
  • Good understanding of CI/CD pipelines, especially with GitLab.
  • 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.
Preferred Qualifications:
  • 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

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