Full Stack Lead Java Developer

8 - 13 years

9 - 19 Lacs

Posted:5 hours ago| Platform: Naukri logo

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Work Mode

Remote

Job Type

Full Time

Job Description

We are seeking a highly skilled Senior Full Stack Lead Java Developer to join our team. The ideal candidate should have strong coding abilities, excellent problem analysis and solving skills, and proven leadership experience in designing and delivering enterprise-grade applications.

Technical Skills & Experience:

Frontend: Angular, JavaScript

Backend: Java (Core Java, Spring Boot, Spring Security, Spring Cloud, Hibernate)

Databases: SQL and NoSQL

Architecture: Microservices, Event-driven architecture

APIs: RESTful APIs and GraphQL

Security: Secure coding practices with Spring Security, OAuth 2.0, JWT, OAuth grant types

AI/ML Integration: Experience with AI/ML libraries such as Deeplearning4j, DJL, TensorFlow Java API, Spring AI

Cloud & DevOps: AWS, Docker, CI/CD pipelines, Jenkins, Maven, SonarQube, Bitbucket

Testing & Tools: Postman, Jira

Software Engineering: Strong foundation in data structures, algorithms, and software design principles

Cloud-native Development & Modern Java Versions

Responsibilities:

Lead design, development, implementation and bug-fix of scalable full-stack solutions for iDeal and DM applications

Ensure best practices in coding, security, and performance optimization.

Collaborate with other developers to deliver features on time and with high quality.

Mentor and guide junior developers.

Drive adoption of modern development practices including CI/CD, cloud-native deployment, and DevOps.

Qualifications:

Proven experience as a full stack developer with leadership or lead developer roles.

Expertise in the Spring ecosystem and microservices architecture.

Strong problem-solving skills and ability to analyze complex technical challenges.

Hands-on experience with both frontend and backend development.

Quickly ramp up on complex systems and contribute effectively

Self-motivated, proactive, and able to work independently on assigned features with minimal supervision

Familiarity with AI/ML integration in Java applications is a plus.

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