Technical Architect- Java

We are looking for an accomplished Solution Architect with 14+ years of experience in designing and delivering cloud-native, scalable enterprise applications. The ideal candidate should have strong hands-on expertise in Java (Spring Boot) and ecosystems, alongwith a high-level architectural understanding of frontend frameworks (Angular/React). You will define the technology vision, ensure architectural consistency, and drive the adoption ofbest practices for performance, scalability, and maintainability across platforms. This role also demands a strong ability to work with cloud-agnostic architectures, event-driven systems, and AI-assisted engineering tools to improve team productivity.Key ResponsibilitiesSolution Design & ArchitectureDefine and own end-to-end solution architecture for large, distributed, high-performance systems.Design and guide implementation of cloud-native microservices using Java/Spring Boot and (Express/NestJS).Architect event-driven solutions with message brokers like Kafka or RabbitMQ.Ensure system scalability, fault tolerance, and observability through best design practices.Collaborate with frontend teams and guide architecture-level integration and componentization in Angular or React.Cloud & InfrastructureArchitect cloud-agnostic solutions deployable across AWS, Azure, or GCP.Demonstrate strong hands-on experience in AWS (Lambda, ECS/EKS, S3, RDS, IAM, etc.).Possess working-level knowledge of DevOps concepts CI/CD, containerization (Docker), and orchestration (Kubernetes).Low-Code/No-Code & Workflow AutomationDrive solution delivery using Appsmith, Mendix, or equivalent LCNC tools.Integrate and automate workflows with n8n, Camunda, or similar workflow engines.Establish best practices for scalability, maintainability, and governance in LCNC solutions.AI-Assisted Development (Must Have)Leverage AI-assisted code tools such as GitHub Copilot, AWS Code Whisperer, or similar tools to boost team productivity, code quality, and delivery efficiency.Drive adoption of AI-based development accelerators across teams, ensuring optimal usage patterns and compliance.Data & Integration ArchitectureDesign robust data and integration architectures leveraging PostgreSQL and Oracle databases.Define data strategies including partitioning, replication, and performance tuning.Ensure consistency, transaction integrity, and secure data exchange across microservices.AI/ML (Good to Have)Exposure to AI/ML pipelines and building forecasting or predictive systems using AWS services (SageMaker, Forecast, Comprehend, etc.).Understanding of data preparation, training, and inference workflows in a cloud environment.Governance & Best PracticesDefine and enforce architecture principles, design patterns, and code quality frameworks.Lead design reviews, proof-of-concepts, and architecture validations.Advocate for Domain-Driven Design (DDD), 12-Factor App principles, and API-first architecture.Ensure solutions meet enterprise standards for security, compliance, and performance.Required Skills & ExpertiseCore Technical SkillsLanguages/Frameworks: Java (Spring Boot), (Express/NestJS)Frontend (Architectural View): Angular, ReactArchitecture: Microservices, Event-driven, Cloud-native, ServerlessDatabases: PostgreSQL, OracleCloud: Strong AWS expertise; understanding of Azure/GCPDevOps (Basic): CI/CD, Docker, Kubernetes (conceptual level)Low-Code Platforms: Appsmith or Mendix etcWorkflow Engines: n8n or Camunda etcAI-Assisted Tools (Mandatory): GitHub Copilot or equivalentAdditional AdvantageExposure to AI/ML pipelines or forecasting systems.Experience in the utility or energy domain is a plus.Familiarity with enterprise security, observability, and governance frameworks.