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Posted:Just now| Platform: 
Work from Office
Full Time
Job Summary: We are looking for an experienced Software Engineer - Java and Digital Asset Management with expertise in Spring Boot, Microservices, and Digital Asset Management (Opentext, Adobe, or Akamai Image Manager) . The ideal candidate should have a deep understanding of enterprise-scale applications, modern Java development practices, and strong technical leadership skills. Key Responsibilities: Spring Boot Development: Provide technical leadership in Spring Boot , ensuring best practices and adherence to engineering structures. Microservices Architecture: Design, develop, and optimize microservices-based architectures for scalable and high-performance applications. Java Development: Work with modern Java versions (preferably Java 12 or later) and ensure efficient coding practices. Enterprise Systems Integration: Work in large enterprise environments, handling complex backend systems and integrations. Code Quality & Performance: Maintain high standards of software quality within the team by establishing good practices and habits. Collaboration & Leadership: Work closely with cross-functional teams, provide mentorship, and guide junior developers in best coding practices. Required Skills & Qualifications: 5 to 9 years of experience in software development with expertise in Java and Spring Boot, Kafka Strong knowledge of Microservices Architecture and implementation best practices. Experience working in large enterprise environments , handling complex backend systems . Strong understanding of modern Java versions (Java 12 or later) . Proficiency in RESTful API development and distributed computing concepts. Knowledge of cloud-based deployments and DevOps practices is a plus. Excellent problem-solving and analytical skills. Strong communication skills and the ability to work in an agile team environment. Preferred Skills: Experience with containerization technologies (Docker, Kubernetes). Familiarity with CI/CD pipelines and DevOps practices . Understanding of database management (SQL/NoSQL). Knowledge of performance optimization techniques for large-scale applications
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