Java Backend Developer

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 SkillsQualifications:
- 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