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, along

with a high-level architectural understanding of frontend frameworks (Angular/React). You will define the technology vision, ensure architectural consistency, and drive the adoption of

best 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 Responsibilities

Solution Design & Architecture

• Define 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 & Infrastructure

• Architect 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 Automation

• Drive 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 Architecture

• Design 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 Practices

• Define 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 & Expertise

Core Technical Skills

• Languages/Frameworks: Java (Spring Boot), (Express/NestJS)
• Frontend (Architectural View): Angular, React
• Architecture: Microservices, Event-driven, Cloud-native, Serverless
• Databases: PostgreSQL, Oracle
• Cloud: Strong AWS expertise; understanding of Azure/GCP
• DevOps (Basic): CI/CD, Docker, Kubernetes (conceptual level)
• Low-Code Platforms: Appsmith or Mendix etc
• Workflow Engines: n8n or Camunda etc
• AI-Assisted Tools (Mandatory): GitHub Copilot or equivalent

Additional Advantage

• Exposure 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.