Team Lead - Java

Requirements

• Strong hands-on experience in Java (Java 8 and above), with deep understanding of modern Java features including Streams, Lambda Expressions, Functional Interfaces, Optional, Generics, Collections, Concurrency APIs, and JVM internals.
• Strong expertise in Core Java concepts including Multithreading, Synchronization, Reflection, Exception Handling, Serialization, Memory Management, and Performance Tuning.
• Extensive experience in enterprise application development using Spring Boot, Spring Framework, Spring MVC, Spring Security, Spring Data JPA, Hibernate/JPA, and RESTful API development.
• Good understanding of Microservices Architecture, distributed systems, API Gateway, service discovery, asynchronous messaging, and event-driven architectures.
• Strong experience with relational and NoSQL databases such as MySQL, PostgreSQL, Oracle, MongoDB, or DynamoDB, including database design, optimization, and query tuning.
• Experience with cloud platforms such as AWS, Azure, or GCP, including containerization and orchestration technologies like Docker and Kubernetes.
• Hands-on experience with CI/CD pipelines, build and deployment tools such as Maven, Gradle, Jenkins, GitHub Actions, SonarQube, and version control systems like Git.
• Strong understanding of software engineering best practices including Object-Oriented Design (OOD), SOLID principles, Design Patterns, Test-Driven Development (TDD), Clean Code, and secure coding practices.
• Experience working in Agile/Scrum development environments with strong collaboration and stakeholder communication skills.
• Ability to perform architecture reviews, code reviews, technical design discussions, and provide technical leadership to development teams.
• Strong analytical and problem-solving skills with good knowledge of Data Structures, Algorithms, scalability, and performance optimization techniques.
• Experience mentoring and leading teams of engineers, driving technical excellence, improving development processes, and ensuring high-quality deliverables.
• Exposure to observability and monitoring tools such as ELK, Grafana, Prometheus, Splunk, or Dynatrace/APM tools is an added advantage.
• Awareness of modern backend engineering practices including API security, OAuth/JWT, resiliency patterns, caching strategies, and system reliability engineering.