Solutions Architect - Cloud, AI & Automation (Remote)

Job Title: Solutions Architect

Location: Remote

Experience: 14+ Years

Job Summary:

We are seeking a highly experienced Solutions Architect to play a strategic role in defining the technology vision, designing scalable architectures, and ensuring consistency across enterprise-grade applications. The ideal candidate will lead end-to-end solution design using Java (Spring Boot) and Node.js, guide frontend integrations with React or Angular, and enable cloud-agnostic deployments across AWS, Azure, and GCP.

Key Responsibilities:

- Define technology vision and design scalable architectures for enterprise-grade applications

- Lead end-to-end solution design using Java (Spring Boot) and Node.js

- Guide frontend integrations with React or Angular

- Enable cloud-agnostic deployments across AWS, Azure, and GCP

- Leverage AI-assisted development tools and low-code/no-code platforms to improve productivity and accelerate delivery

- Collaborate with cross-functional teams to deliver scalable, resilient, and future-ready systems

- Define and enforce architecture principles, design patterns, and governance frameworks

- Stay up-to-date with industry trends and emerging technologies

Must-Have Skills:

- 14+ years of experience in designing and delivering scalable enterprise applications

- Strong hands-on expertise in Java (Spring Boot) and Node.js (Express/NestJS)

- Architectural understanding of Angular or React for frontend integration

- Proven experience in microservices, event-driven architecture, and cloud-native design

- Solid knowledge of AWS (Lambda, ECS/EKS, S3, RDS, IAM, etc.) with exposure to Azure or GCP

- Familiarity with DevOps practices CI/CD, Docker, and Kubernetes

- Experience with workflow automation tools like n8n, Camunda, or similar

- Practical experience using AI-assisted development tools (e.g., GitHub Copilot, AWS CodeWhisperer)

- Proficiency in PostgreSQL and Oracle databases with a focus on performance and data integrity

Good-to-Have Skills:

- Exposure to AI/ML pipelines, forecasting, or predictive systems using AWS SageMaker, Forecast, or Comprehend

- Knowledge of low-code/no-code platforms like Appsmith or Mendix

- Experience in the utility or energy domain

- Understanding of enterprise security, observability, and governance frameworks

- Familiarity with Domain-Driven Design (DDD), 12-Factor App principles, and API-first architecture