Sr. Java Developer

NexTurn Inc.; Hyderabad; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

NexTurn Inc. seeks an experienced backend developer proficient in Java and Spring Boot to design and maintain high-performance applications. The ideal candidate will manage cloud-native solutions using AWS and architect robust distributed systems. A Bachelor's degree in Computer Science or related fields is required along with skills in system design and microservices. Join a collaborative environment that fosters innovation and continuous learning, while troubleshooting and improving system performance.

Qualifications

• Strong proficiency in Java with experience in modern Java features and capabilities.
• Solid experience with Spring Boot and backend development frameworks.
• Strong hands-on expertise in AWS services including Lambda, EKS, EC2, S3, and DynamoDB.
• Good understanding of microservices architecture and backend engineering best practices.

Responsibilities

• Design, develop, and maintain scalable, high-performance backend applications using Java and Spring Boot.
• Build and manage cloud-native solutions using AWS services.
• Architect and implement large-scale distributed systems and microservices.
• Monitor, troubleshoot, and resolve production issues to ensure system reliability.
• Participate in code reviews and enforce engineering best practices.

Skills

Java Proficiency

Spring Boot

AWS Services

System Design

Microservices Architecture

Python Programming

Docker

Kubernetes

Agile/Scrum

Education

Bachelor's degree in Computer Science, Engineering, or related field

Job description

Required Skills

• Strong proficiency in Java with experience in modern Java features and capabilities.
• Solid experience with Spring Boot and backend development frameworks.
• Strong hands-on expertise in AWS services, including Lambda, EKS, EC2, S3, DynamoDB, and Valkey/Redis.
• Experience building scalable distributed systems and cloud-native applications.
• Strong system design and architecture skills with the ability to independently create HLD and LLD documents.
• Experience with open-source relational databases and NoSQL databases.
• Strong troubleshooting and production support experience, including performance tuning and reliability improvements.
• Good understanding of microservices architecture and backend engineering best practices.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently with minimal supervision.
• Experience with Python programming.
• Working knowledge of Neo4J and RockDB.
• Strong understanding of data structures and algorithms.
• Experience building automated regression, functional, integration, and performance testing frameworks.
• Familiarity with AI-assisted development tools such as Claude.
• Exposure to Docker, Kubernetes, and CI/CD practices.
• Experience working in Agile/Scrum environments.
• Knowledge of monitoring, logging, and observability tools for distributed systems.

Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field.

Job Responsibilities

• Design, develop, and maintain scalable, high-performance backend applications using Java and Spring Boot.
• Build and manage cloud-native solutions using AWS services, including Lambda, EKS, EC2, S3, DynamoDB, and Valkey/Redis.
• Architect and implement large-scale distributed systems and microservices.
• Prepare and review High-Level Design (HLD) and Low-Level Design (LLD) documents.
• Develop secure, reliable, and reusable RESTful APIs and backend services.
• Monitor, troubleshoot, and resolve production issues to ensure system reliability, availability, and performance.
• Optimize application scalability, latency, and operational efficiency.
• with both relational and NoSQL databases for scalable data solutions.
• Collaborate with cross-functional teams, including Product, DevOps, QA, and Engineering teams.
• Build and enhance automated regression, integration, functional, and performance test suites.
• Participate in code reviews and enforce engineering best practices and coding standards.
• Mentor team members and contribute to technical discussions and architectural decisions.
• Continuously explore and adopt new technologies, cloud capabilities, and AI-assisted development tools.