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Solutions Architect - Cloud, AI & Automation (Remote)

AvanteNowranchi, jharkhand, in

2 days ago

Job type

Remote

Job description

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

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