Java Architect With Retail Domain

Role: Java Architect – Retail Domain

Location: Atlanta, GA (3 days onsite)
 

Note: Please submit only local resource.

Job Summary

We are seeking a highly skilled Java Architect with strong expertise in the retail domain, specializing in designing and developing scalable enterprise applications. The ideal candidate will possess deep architectural knowledge, hands-on development experience, and strong domain understanding of retail supply chain and inventory systems.
Experience with Google Cloud Platform (GCP) and AI/ML-based solution development is highly preferred.

Key Responsibilities

• Lead the architecture and design of enterprise-grade Java applications for retail inventory planning and supply-chain systems.
• Architect cloud-native solutions leveraging GCP services such as Cloud Run, GKE, Pub/Sub, BigQuery, Cloud Functions, etc.
• Collaborate with business stakeholders, product owners, and cross-functional teams to translate requirements into scalable and secure technical solutions.
• Provide technical leadership, mentorship, and best practices to development teams.
• Ensure adherence to enterprise standards in software design, coding guidelines, and performance optimization.
• Conduct architectural reviews, code audits, and application performance tuning.
• Drive innovation using AI/ML models, including demand forecasting, predictive analytics, anomaly detection, and intelligent automation for retail systems.
• Improve system reliability, scalability, and performance through continuous architectural enhancements.

Required Skills & Qualifications

• 10+ years of experience in Java/J2EE development and enterprise architecture.
• Strong experience in the Retail Domain — including supply chain, merchandising, inventory planning, and store operations.
• Deep expertise in:
  • Spring Framework (Spring Boot, Spring Cloud)
  • Microservices Architecture
  • RESTful APIs and distributed systems
• Hands-on experience building and deploying applications on GCP (mandatory).
• Experience integrating AI/ML solutions into enterprise applications (preferably in retail).
• Strong understanding of cloud-native patterns, containerization (Docker), and orchestration (Kubernetes).
• Excellent problem-solving skills, communication, and stakeholder management abilities.