Description

Key Responsibilities

• Full Stack Development: Build, deploy, and maintain highly scalable backend services using Node.js in an AWS Lambda architecture, alongside dynamic front-end SPAs using ReactJS.
• AI-Accelerated Engineering: Utilize AI agents and LLMs to accelerate coding, debugging, and testing phases while maintaining strict quality control over all AI-generated outputs.
• Workflow & Architecture: Design and implement robust event-driven and asynchronous workflows for scalable data processing.
• System Integration: Develop and integrate core APIs and internal services, troubleshooting full-stack production issues from the user interface down to the database.
• Code Quality & Review: Write comprehensive unit and integration tests, participate in rigorous code reviews, and champion engineering excellence.
• Cross-Functional Collaboration: Partner closely with Product, DevOps, and Security teams to architect and ship solutions that are both secure and highly resilient.

Required Qualifications
Core Engineering & Cloud:

• Node.js Expertise: Strong hands-on experience building production-grade backend services using Node.js (asynchronous patterns, advanced error handling, performance optimization).
• Front-End Proficiency: Extensive experience developing Single Page Applications (SPAs) using ReactJS, including seamless integration and deployment within an AWS environment.
• AWS Serverless Architecture: Proven experience designing and deploying services using AWS Lambda (environment configuration, deployment strategies, and event sources).
• API Management: Working knowledge of AWS API Gateway, including REST/HTTP endpoint creation, custom authorizers, and backend integrations.
• Message Queuing & Pub/Sub: Hands-on experience with AWS SQS (queue-based decoupling, retry behaviors, DLQs) and AWS SNS (pub/sub messaging, fan-out patterns).
• Data Warehousing: Exposure to Amazon Redshift, including an understanding of core data warehousing concepts, basic querying, and building data pipelines.
• Infrastructure & Automation: Familiarity with Infrastructure as Code (IaC) principles using Terraform, as well as pipeline automation via GitHub Actions.
• System Debugging: Exceptional ability to debug distributed systems. Proficiency in using logs, metrics, and structured troubleshooting methodologies.

AI & Modern Workflows:

• AI-Assisted Development: Proven experience using AI Agents and coding assistants to accelerate the software development lifecycle.
• Prompt Engineering & Technical Discernment: Strong prompt engineering skills with the deep technical savviness required to effectively review, test, accept, refactor, or discard AI-generated code.
• Version Control: Solid familiarity with Git-based workflows and CI/CD best practices

Key Skills

Education

Any Gradute