Cloud Architect and Database Engineer

7 days ago

Kurnool, Andhra Pradesh, India beBeeBackend Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Opportunity

We are seeking a highly skilled Senior Full Stack Backend Developer with proven expertise across AWS architecture, Node.js backend development, and scalable database design.

This role involves designing, building, and optimizing scalable APIs, managing cloud infrastructure, and driving AI-first backend innovations in a fast-paced, agile environment.

  • Architect, design, and maintain a highly scalable and secure backend system using Node.js and AWS services.
  • Build RESTful and GraphQL APIs to support mobile and web applications.
  • Lead infrastructure decisions on AWS (Lambda, ECS, Cognito, S3, API Gateway, DynamoDB, RDS, etc.).
  • Design and optimize relational and NoSQL databases, focusing on performance, indexing, and data integrity.
  • Integrate AI APIs/tools into the backend for moderation, recommendation, and automation workflows.
  • Integrate with payment gateway integrations.
  • Write clean, modular, well-tested code following modern engineering practices.
Technical Requirements
  • 5+ years of hands-on development in Node.js, Express/NestJS.
  • Proficient with TypeScript, REST API standards, WebSockets, and microservices.
Expertise Needed
  • Expert knowledge of AWS services: Cognito, Lambda, S3, API Gateway, ECS/EKS, IAM, CloudWatch.
  • Infrastructure as Code: CloudFormation, CDK, or Terraform.
  • Strong understanding of networking, authentication flows, and cloud security best practices.
Database Design Expertise
  • Experience with PostgreSQL/MySQL and NoSQL solutions like DynamoDB.
  • Ability to design normalized schemas, manage migrations, write optimized queries, and handle large-scale data flows.
  • Familiarity with time-series data, analytics DBs (e.g., Redshift or Athena) is a plus.
AI Development Experience
  • Integrating with AI APIs (e.g., OpenAI, AWS Comprehend, Rekognition).
  • Use of AI tools (e.g., Copilot, ChatGPT, AI code generation) for rapid prototyping and efficiency.
  • Comfortable debugging or extending AI-assisted modules in production.
Testing & CI/CD
  • Experience with unit/integration testing using Jest, Mocha, or similar.
  • Familiarity with GitHub Actions, CodePipeline, or similar CI/CD tools.
Security & Compliance
  • JWT/OAuth2 token handling and RBAC implementation.
  • Understanding of data privacy (GDPR), secure data flows, and encryption.
Personal Qualities
  • Strong communication and cross-functional collaboration.
  • Product-first thinking and an eye for scalable design.
  • Ability to rapidly adapt and extend existing backend codebase with minimal disruption.

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