Java Full Stack Developer Lead

We are looking for a hands-on Java Tech Lead who can lead the technical design and development of modern, scalable applications while remaining deeply involved in coding and engineering activities.

The ideal candidate will have strong expertise across the Full-Stack, with Java/Spring Boot on the backend and modern JavaScript/TypeScript frameworks such as React or Angular on the frontend.
The candidate should also have practical experience using Generative AI and AI-assisted software engineering tools to improve developer productivity, software quality, automation, and engineering velocity.
Key Responsibilities

1. Technical Leadership
   Lead the technical design and development of complex enterprise applications.
   Define application architecture, design patterns, coding standards, and engineering practices.
   Make pragmatic technology and architecture decisions balancing scalability, maintainability, security, performance, and time-to-market.
   Conduct architecture/design reviews and provide technical direction to development teams.
   Identify and resolve complex technical issues and production problems.
   Mentor developers and establish strong engineering practices across the team.

2. Hands-on Full-Stack Development
   Develop and maintain scalable applications using Java and Spring Boot.
   Build RESTful APIs and microservices.
   Design and implement frontend applications using React / Angular / TypeScript / JavaScript.
   Work across the complete application stackfrom UI and APIs to databases, messaging, and cloud infrastructure.
   Participate actively in coding, debugging, refactoring, and performance optimization.
   Perform detailed code reviews and ensure adherence to engineering standards.
   Design and implement automated unit, integration, API, and end-to-end testing.

3. Java & Backend Engineering

Strong hands-on experience with:
Java 11/17/21+
Spring Boot
Spring Framework / Spring Security
REST APIs
Microservices architecture
JPA / Hibernate
SQL and relational databases
NoSQL databases
Kafka or other event-driven/messaging technologies
Multithreading and concurrency
JVM performance tuning
Distributed systems
API security, authentication, and authorization
4. Frontend Engineering

Hands-on experience with one or more modern frontend ecosystems:

React / Angular
TypeScript
JavaScript
HTML5 / CSS3
REST/API integration
State management
Responsive web application development
Frontend testing frameworks

The candidate should be comfortable troubleshooting issues across the UI API service database stack.

5. AI-Based Software Engineering

The candidate should understand and demonstrate practical adoption of AI across the Software Development Lifecycle (SDLC).

Experience with tools such as GitHub Copilot, Claude, ChatGPT, Gemini, Amazon Q Developer, or equivalent AI engineering tools is desirable.

The candidate should be able to demonstrate how AI can be integrated into engineering workflows rather than simply using AI as a coding assistant.

6. Cloud & DevOps

Experience with modern cloud-native engineering practices:

AWS / Azure / GCP
Docker
Kubernetes
CI/CD
Git
Jenkins / GitHub Actions / GitLab CI / Azure DevOps
Infrastructure as Code
Observability and monitoring
Logging and distributed tracing

Experience deploying and operating microservices in a cloud environment is highly desirable.

8. Software Architecture

Strong understanding of:

Microservices
Domain-Driven Design
SOLID principles
Design patterns
Event-driven architecture
Distributed systems
API-first architecture

Ability to translate business requirements into robust technical solutions and architecture.

Required Skills
Must Have
10–15+ years of software engineering experience.
Strong hands-on Java development experience.
Strong Spring Boot / Microservices experience.
Hands-on Full-Stack development experience.
Experience with React or Angular.
Strong knowledge of REST