
Senior Full Stack Backend Developer – Advanced Technical Expertise
2 days ago
We are seeking a highly skilled professional with expertise in designing, building and optimizing scalable APIs, managing cloud infrastructure and driving AI-first backend innovations.
This role involves collaborating closely with frontend/mobile teams and integrating seamlessly with our applications. You will leverage AI tools for automation, rapid prototyping and performance tuning ensuring continuity with our existing architecture and enabling future scalability.
Main Responsibilities:
- 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.
- Write clean, modular, well-tested code following modern engineering practices.
- Collaborate with frontend/mobile teams to deliver features aligned with product goals.
- Participate in Agile/Scrum ceremonies, sprint planning and code reviews.
Required Skills and Qualifications:
Backend Development- 5+ years of hands-on development in Node.js, Express/NestJS.
- Proficient with TypeScript, REST API standards, WebSockets and microservices.
- 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.
- 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.
- 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.
- Experience with unit/integration testing using Jest, Mocha or similar.
- Familiarity with GitHub Actions, CodePipeline or similar CI/CD tools.
- JWT/OAuth2 token handling and RBAC implementation.
- Understanding of data privacy (GDPR), secure data flows and encryption.
- 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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