Vacancy description
Rs 25 - 30 lakhs p.a.
India, Hyderabad
Full Stack Java AWS Engineer in Hyderabad, India is listed on Jobeax. Browse 30,000+ vacancies available.
This role is for one of the Weekday's clients
Min Experience: 7+ years
JobType: full-time
We are looking for an experienced Java Full Stack Developer with strong expertise in ReactJS to design, develop, and maintain scalable enterprise-grade applications. The ideal candidate should have hands-on experience across the full technology stack, including Java backend development, React frontend, REST APIs, microservices, cloud technologies, and modern DevOps practices.
This role requires collaboration with cross-functional teams to build secure, high-performance applications while following Agile methodologies and engineering best practices.
Design, develop, and maintain scalable full-stack applications using Java and ReactJS .
Build and enhance RESTful APIs and microservices using Spring Boot , Spring Framework , and Spring Data JPA .
Develop responsive, reusable, and accessible user interfaces using ReactJS , JavaScript , TypeScript , HTML5 , and CSS3 .
Integrate applications with messaging systems such as Apache Kafka and cloud services on Microsoft Azure .
Work with MS SQL Server for database design, optimization, and performance tuning.
Collaborate with Product Owners, Architects, QA Engineers, and Scrum teams throughout the software development lifecycle.
Participate in code reviews and ensure adherence to coding standards and best practices.
Support CI/CD pipelines and contribute to DevOps and automation initiatives.
Troubleshoot production issues and optimize application performance.
Required Skills & Experience
Work on modern cloud-native enterprise applications.
Exposure to cutting-edge technologies including ReactJS, Spring Boot, Azure, Kafka, and Kubernetes.
Collaborative Agile work environment with opportunities for continuous learning and career growth.
Opportunity to contribute to large-scale digital transformation initiatives.
Java, ReactJS, Spring Boot
AWS, SQL, Kuberenetes
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