Senior JAVA Backend Engineer

We are seeking a highly skilled and experienced Senior Backend Engineer to join our team.

The ideal candidate will play a critical role in designing, developing, and maintaining scalable and efficient backend systems.

You will collaborate with cross-functional teams to deliver high-quality solutions, leveraging your expertise in Java Spring Boot, microservices architecture, and modern software development practices.

Design, implement, and maintain robust and scalable backend systems using Java Spring Boot.

Develop and deploy microservices-based applications, ensuring modularity and scalability.

Design and optimize relational databases (e.g., Oracle, MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra) to ensure efficient data handling.

Integrate and manage event streaming platforms like Kafka for real-time data processing and communication.

Architect and design backend solutions using proven design patterns and best practices to meet business requirements.

Containerization and Orchestration:

Develop, deploy, and manage services on platforms like OpenShift or similar container orchestration environments.

Implement and optimize CI/CD pipelines to automate the build, test, and deployment processes.

Monitor and optimize system performance, ensuring reliability and efficiency in production.

Promote coding standards, perform code reviews, and ensure adherence to best practices.

Work closely with developers, DevOps engineers, and other stakeholders to deliver seamless solutions.

Provide technical guidance and mentorship to junior engineers, fostering knowledge sharing and professional growth.

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Minimum Of 10 Years Of Experience In Backend Development.

Proven experience in building and deploying microservices-based architectures.

Strong proficiency in Java and Spring Boot.

Hands-on experience with microservices architecture and related tools.

Proficiency with containerization tools like Docker and orchestration platforms like OpenShift, Kubernetes, or similar.

Solid understanding of design patterns and their applications in software development.

with building and managing CI/CD pipelines using tools like Jenkins, GitLab CI, or similar.

Strong knowledge of relational databases (e.g., Oracle, MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Redis).

Familiarity with Apache Kafka or similar event-streaming platforms.

Knowledge of API design and implementation.

with logging, monitoring, and alerting tools (e.g., ELK stack, Prometheus, Grafana).