Architect - Java

Architect - Java

Must have skills: Java, Spring Boot, E-Commerce Platforms

Good to have skills: Agile Project Management, AI-Assisted Development Practices

Experience: 8-12 years of experience is required

Educational Qualification: Graduation (Accurate educational details should capture)

Job Summary

We are seeking a Java Architect (Entry-Level Architect) with 8–12 years of strong hands-on experience in architecting and developing scalable, secure, and high-performance backend systems, with hands-on experience delivering enterprise e-commerce solutions on platforms such as commercetools, SAP Commerce, Adobe Commerce, or Salesforce Commerce Cloud etc.

The ideal candidate brings strong technical leadership skills and deep expertise in modern Java ecosystems, distributed systems, microservices, cloud platforms, DevOps practices, and composable/headless commerce architecture.

Roles and Responsibilities

• Define and drive the technical architecture for Java-based microservices and backend systems
• Participate in architecture discussions, design reviews, and technical decision-making
• Establish coding standards and maintain high-quality, secure implementation practices
• Implement best practices for performance, concurrency, caching, and database efficiency
• Design, develop, and optimize Java/Spring Boot services, REST APIs, and integrations
• Break down complex problems, lead end-to-end execution, and ensure timely delivery
• Support CI/CD pipelines, containerization (Docker), and deployments on Kubernetes/cloud environments
• Ensure observability through proper logging, metrics, monitoring, and distributed tracing
• Troubleshoot production issues, lead root cause analysis (RCA), and implement long-term stable fixes
• Enforce security best practices across services, APIs, and infrastructure integrations
• Collaborate with cross-functional teams (QA, DevOps, Product) throughout the delivery lifecycle
• Conduct code reviews and architecture reviews with a focus on quality and maintainability
• Mentor junior engineers and foster a culture of continuous learning and engineering excellence
• Champion adoption of AI-assisted development practices to improve team velocity and code quality