Java Backend Developer

Backend DeveloperDesign, develop, and maintain scalable backend services and microservices using Java (17) and Spring Boot.Build and optimize RESTful APIs and distributed systems ensuring high availability, performance, and security.Lead system design, architecture decisions, and code reviews to enforce best practices.Integrate AI/ML capabilities and third-party AI services/APIs into backend systems to enable intelligent workflows and automation.Leverage AI-assisted development tools (e.g., GitHub Copilot, ChatGPT) to improve productivity, code quality, and testing efficiency.Develop and maintain infrastructure as code (IaC) and automated testing frameworks using JUnit and Mockito; incorporate intelligent/AI-driven testing techniques where applicable.Collaborate with cross-functional teams including frontend (Angular/React), QA, DevOps, and product teams.Implement and manage CI/CD pipelines, DevOps practices, and containerized deployments.Perform database design and optimization using Oracle, SQL, and PL/SQL.Monitor and support production applications using observability tools; apply intelligent monitoring and anomaly detection techniques.Conduct root cause analysis, debugging, and performance tuning.Ensure adherence to coding standards, security policies, and compliance requirements.Mentor junior developers and promote adoption of modern engineering and AI-enabled practices.Stay updated with emerging technologies in backend engineering, cloud platforms, and AI-driven development.Requirements:Minimum 7 years of experience in Java and Spring (Spring Core, Spring Boot, Hibernate) development.Strong expertise in object-oriented design, microservices architecture, and distributed systems.Java 17Spring Core, Spring Boot, HibernateJUnit, Mockito testing frameworksOracle concepts, SQL, PL/SQLAngular 15Strong experience with DevOps practices, CI/CD pipelines, and branching strategies.Familiarity with AI-assisted development tools and understanding of AI/ML concepts.Hands-on experience with test automation and quality engineering practices.Experience with cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes).Preferred Skills:Experience with React.Familiarity with Kafka (or similar messaging/streaming technologies).Experience with Appian or BPM tools.Knowledge of BPMN tools (RHPAM, IBM BAMOE).Applied understanding of DevOps tools and containerization (Docker Compose).Exposure to AI-driven testing, predictive analytics, or intelligent automation frameworks.Awareness of event-driven architecture and observability tools.Certifications in cloud, DevOps, or AI/ML technologies are a plus.Education:Bachelor's/University degree or equivalent experience, potentially Master's degree/MBA.