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 CICD processes. You will be responsible for building and supporting scalable, secure, and high-performance applications and services.
Key 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 CICD 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 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 CICD 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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