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About the role
Send your resume on email monika.angre@datamatics.com along with these details Total & Relevant Experience into Java Developement Current CTC Expected CTC Notice Period Current Location Experience: 5 + years of experience as a Senior Backend Engineer / Java Developer. Scope: Design and develop high-volume, low-latency applications using Java 17+ and Spring Boot , ensuring code quality and system performance. Technical Leadership: Provide guidance to junior/mid-level developers and assist in overseeing workstreams to ensure architectural alignment. Architecture: Build and maintain scalable Microservices , ensuring robust service-to-service communication (REST, gRPC, or Messaging). Pipeline Automation: Design, build, and maintain CI/CD pipelines to automate testing and deployment, reducing manual overhead. Cloud & Containers: Containerize applications using Docker and manage orchestration via Kubernetes (AKS/EKS) . Process Improvement: Identify opportunities for automation, optimization, and observability to enhance the efficiency of development practices. Database Management: Writing and optimizing SQL queries (Oracle/ SQL) and managing data persistence layers. Observability: Implement logging, tracing, and monitoring to ensure 24/7 system health and rapid incident response. Hands-on Lead: Solving complex problems, performing POCs, creating frameworks, and ensuring high unit test coverage. DevOps Culture: Strong familiarity with DevOps practices and tools for continuous integration and continuous deployment. Mandatory Skill Set Java (Backend): Minimum 5 years (Java 17/21) - Mandatory Spring Boot: Minimum 4 years (Spring Security, Spring Data JPA) - Mandatory Microservices: (Mandatory) REST, gRPC, or Messaging (Kafka/RabbitMQ). Cloud Experience: 2+ years in Azure (AKS, Functions, SQL) or AWS . DevOps & IaC: Terraform and CI/CD (Jenkins, GitLab, or GitHub Actions) - Mandatory . Containers: Docker & Kubernetes (K8s) - Mandatory . Testing: JUnit 5, Mockito, and Testcontainers - Mandatory . Frontend Technology: Knowledge/Experience (approx. 40%) to assist in full-stack troubleshooting. Legacy Modernization: Experience in transitioning legacy systems to modern microservices.
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