Architect-Java

We are seeking a highly experienced Java Spring Boot Architect Lead with strong hands-on coding capabilities to design, develop, and lead enterprise-grade applications. The role involves building scalable microservices, APIs, modern user interfaces, and integrating AI capabilities, while guiding teams through best engineering practices.

Key Responsibilities

Architecture And Design

Design and define enterprise architecture using Java, Spring Boot, and Microservices

Drive API-first design, RESTful services, and system integrations,

Ensure scalability, security, performance, and resiliency across services

Define architectural standards, patterns, and best practices

Review and approve design documents, code, and technical solutions

Development & Hands-on Coding

Actively code and mentor teams on Java, Spring Boot, and Microservices

Develop backend services using Spring Boot, Spring MVC, Spring Data, HibernateJPA

Frontend UI Collaboration

Oversee UI development using Angular or React

Collaborate with frontend teams to ensure seamless backend–frontend integration

Cloud Platform Engineering

Design and deploy solutions on Google Cloud Platform (GCP) (preferred)

Work with services such as GKE, Cloud Run, Pub/Sub, Cloud SQL, BigQuery

AI Innovation

Collaborate on AI-driven features such as intelligent automation, analytics, or decisioning

Integrate AI/ML components with backend systems where applicable

Leadership Mentoring

Lead and mentor development teams

Work closely with Product Owners, QA, DevOps, and business stakeholders

Participate in technical planning, estimation, and roadmap discussions

Experience Core Skills Backend (Mandatory)

Bachelor's Degree in Computer Science and Engineering, Information Systems, or related field

At least 12-15 years Relevant experience in Java, Spring Boot, Spring Core.

12 to 15 years IT Experience.

Strong hands-on expertise in Java (Java 8+ / Java 11 / Java 17)

Spring Boot, Spring Core, Spring Security

Microservices architecture

RESTful API design and implementation

Database technologies: SQL / NoSQL

Frontend (Mandatory – Either One)

Angular OR React

Strong understanding of UI–API integration

Engineering Practices

CI/CD pipelines

Git-based version control

Unit testing, integration testing

Good to Have

Google Cloud Platform (GCP) experience

Pega platform expertise

AI / Machine Learning exposure