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ValueLabs - Senior Java Software Engineer - Spring Boot

VALUELABS SOLUTIONS LLP
8 - 11 Years
Hyderabad

Posted on: 21/10/2026

Job Description

Job Description :


- 8+ years of professional experience in full-stack Java development with strong focus on Spring Boot, Spring Cloud, Spring Security, Spring Data JPA, and RESTful APIs.


- Proven track record of owning and delivering production-grade features independently - from concept to deployment.


- Expertise in SQL and relational databases (PostgreSQL, MySQL, Oracle, etc.) - including complex query optimization, stored procedures, indexing, and performance tuning.


- Deep understanding of ORM (JPA/Hibernate) - including entity modeling, lazy loading, caching, and avoiding common pitfalls.


- Experience with CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions), containerization (Docker), orchestration (Kubernetes), and cloud platforms (AWS/Azure/GCP).


- Strong problem-solving and debugging skills - especially in distributed systems and high-throughput environments.


- Proficient in modern development tools and AI-augmented coding practices (e.g., using AI to generate boilerplate, suggest refactorings, detect bugs, or write unit tests).


- Excellent verbal and written communication skills - able to explain technical concepts clearly to non-technical stakeholders.


- Experience working in Agile/Scrum environments with a focus on iterative delivery and continuous improvement.


Roles and Responsibilities :

- Own end-to-end delivery of high-impact use cases - from requirement analysis and technical design to production deployment and post-release monitoring.

- Design, develop, and maintain high-performance, scalable, and secure Java/Spring-based microservices in a cloud-native environment (AWS/Azure/GCP).

- Write optimized, maintainable SQL queries and work closely with DBAs to design efficient database schemas, indexing strategies, and query performance tuning.

- Utilize ORM frameworks (JPA/Hibernate) effectively, avoiding N+1 issues, managing transactions, and ensuring data consistency.

- Apply AI-powered coding assistants (e.g., GitHub Copilot, Amazon CodeWhisperer) to accelerate development, improve code quality, and reduce boilerplate - while maintaining code review rigor and security.

- Champion clean architecture principles, SOLID, DRY, and domain-driven design (DDD) practices.

- Collaborate with product managers, QA engineers, DevOps, and infrastructure teams to deliver robust, CI/CD-integrated solutions.

- Conduct peer code reviews, mentor junior developers, and contribute to technical documentation and knowledge sharing.

- Monitor and troubleshoot production issues using observability tools (e.g., Prometheus, Grafana, ELK, OpenTelemetry).

- Stay ahead of emerging trends in Java, Spring, cloud, and AI-augmented development - and drive innovation within the team.

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