RELEVANTZ TECHNOLOGY SERVICES INDIA PRIVATE LIMITE
Relevantz Technology - Java Full Stack Developer
- IT
- Fullstack
Pune, भारत
Vacancy description
RELEVANTZ TECHNOLOGY SERVICES INDIA PRIVATE LIMITE
Pune, भारत
Experience : - 10+ years of overall software development experience.- 4+ years of hands-on experience in Java development.- 6+ years of hands-on experience in Python development.- Experience building enterprise-scale applications, distributed systems, and cloud-native https://jobeax.com/link/Gpaa4oyRTNYXQU0V Stack : Java : - Strong proficiency in Java 17+- Core Java concepts : Multithreading & Concurrency, Collections Framework, Streams API & Lambda Expressions, Functional Programming, JVM Performance Tuning- Experience with : Spring Boot, Spring Cloud, RESTful API Development, Microservices ArchitecturePython : - Strong Python programming expertise- Experience with : FastAPI / Flask, Asynchronous Programming, REST API Development, Enterprise Application Development- Knowledge of Python design patterns, testing frameworks, and code optimizationMicroservices & Distributed Systems : - Design and development of scalable microservices- API design and integration- Service-to-service communication- Authentication & Authorization (OAuth2/JWT)- Event-driven architecture- Docker & Kubernetes- Kafka/RabbitMQ preferredDatabase & SQL : - Strong SQL expertise- Hands-on experience with Query OptimizationKey Responsibilities : - Architect and develop high-performance microservices using Java and Spring Boot to ensure seamless integration across distributed enterprise systems.- Design and implement scalable backend solutions using Python and modern Python frameworks to support data-intensive applications and automation workflows.- Lead code reviews and technical design sessions to maintain high engineering standards and mentor junior developers within the team.- Collaborate with stakeholders to translate complex business requirements into technical specifications, ensuring the delivery of high-quality software products.- Optimize existing application performance by identifying bottlenecks and implementing efficient algorithms and database queries to enhance system throughput. (ref:hirist.tech)
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