Tech Lead / Full Stack Engineer

Dear Candidates ,

We are hiring for the below role .

You may share resume to [email protected]

Position:

Tech Lead / Full Stack Engineer (Python, ReactJs, AWS Serverless, SAM)

Qualifications:

• Bachelor’s or master’s degree in computer science or related field.

• 4+ years of experience in Software Engineering/Development

• 3+ years of experience in Python

• 3+ years of experience in ReactJs

• 2+ years of experience in AWS, Graphql (AppSync) ,SAM, services - Lambda, Glue, Cognito,

Bedrock, AppSync & Amplify

• 1+ years of experience in Vector DB & LLM (optional, added advantage)

Requirements:

Backend (Python):

• Strong experience in Python with Flask / FastAPI frameworks.

• Experience in Microservices developments using AWS Lambda

• Experience in data processing pipelines using PySpark in AWS Glue

• Strong knowledge of relational databases like PostgreSQL or MySQL.

• Experience with NumPy and Pandas for data processing.

• Knowledge of Celery, Redis/RabbitMQ/ AWS SQS message queues for asynchronous task

processing.

Frontend (React.js):

• Strong hands-on experience in React.js, including Redux, Hooks, Context API.

• Proficiency in JavaScript (ES6+) and TypeScript.

• Proficiency in writing reusable and scalable React components.

• Strong knowledge of JavaScript (ES6+), TypeScript, HTML5, CSS3, and responsive UI design.

• Experience with frontend testing frameworks like Jest, React Testing Library.

General & DevOps Skills:

• Experience with CI/CD pipelines

• Good understanding of Git workflows and version control.

• Knowledge of API documentation tools like Swagger/OpenAPI.

• Familiarity with Agile methodologies like Scrum/Kanban & Jira project management tool.

Roles & Responsibilities:

Backend Development:

• Design, develop, and maintain RESTful APIs using Flask or FastAPI.

• Develop microservices using AWS Lambda functions and ETL jobs using AWS Glue & PySpark

• Cleanse, transform, and analyze complex datasets to support business insights and analytics

using PySpark.

• Optimize PySpark jobs for performance and scalability.

• Work with Pandas & NumPy for data transformation and analytics.

Frontend Development:

• Build modern, scalable, and maintainable React.js applications.

• Develop responsive UI components and integrate with backend APIs.

• Implement state management using Redux/Context API.

• Write clean, efficient, and reusable code following best practices.

• Optimize performance, accessibility, and frontend security.

AWS:

1. Serverless Application Development (AWS SAM & Lambda)

• Design and deploy serverless applications using AWS SAM (Serverless Application

Model) to automate infrastructure provisioning.

• Develop, test, and maintain AWS Lambda functions for real-time data processing,

microservices, and backend automation.

2. Data Engineering with AWS Glue

• Create ETL pipelines with AWS Glue to transform, clean, and catalog structured and

semi-structured data.

• Develop Glue Jobs using PySpark and monitor performance, scaling, and job triggers.

• Integrate Glue with data lakes and other AWS data sources S3, and Aurora.

3. Authentication and Access Control (AWS Cognito)

• Implement secure user authentication and authorization using AWS Cognito (user pools

and identity pools).

• Customize token policies, integrate social logins (OAuth2, SAML), and manage identity

federation.

4. AWS Bedrock & LLMs (Optional)

• Utilize AWS Bedrock to build, test, and fine-tune LLM-powered applications using

models like Anthropic Claude, Meta Llama, or Amazon Titan.

• Design prompt engineering strategies, fine-tuning workflows, and RAG (Retrieval-

Augmented Generation) architectures.

5. GraphQL API Design (AWS AppSync)

• Design scalable GraphQL APIs with AWS AppSync to simplify front-end/backend

integration.

• Implement resolvers using Lambda, DynamoDB, and Aurora Serverless data sources.

• Handle schema stitching, caching, real-time subscriptions, and access control.

6. Frontend Integration & DevOps (AWS Amplify)

• Integrate front-end apps (React) with Amplify for CI/CD, hosting, and backend service

integration.

• Configure Amplify with GraphQL endpoints (AppSync), Cognito auth, and storage

modules.

• Manage deployment pipelines and environment-specific builds.

Vector Store Design & Search (added advantage)

• Design schema for storing dense vector embeddings from LLMs or NLP pipelines.

• Integrate vector DBs with LLMs using frameworks like LangChain, or custom RAG workflows.

Deployment & Performance Optimization:

• Optimize APIs and database queries for high performance.

• Deploy and manage applications using Docker, Kubernetes (EKS / ECS).

• Implement unit tests, integration tests, and maintain code quality.

Technical Leadership:

• Contribute to architectural decisions and collaborate with stakeholders to gather and analyse

requirements.

• Mentor junior engineers and contribute to code reviews to ensure high-quality deliverables.

Problem-Solving:

• Debug and resolve technical issues and performance bottlenecks in a timely manner.

• Provide innovative solutions to complex technical challenges.

Continuous Improvement:

• Stay updated with emerging technologies and incorporate them into existing systems when

beneficial.

• Optimize application performance and scalability through regular refactoring and tuning.

Collaboration & Best Practices:

• Work with product managers, Business Team, and data engineers.

• Participate in code reviews, sprint planning, and architecture discussions.

• Ensure security best practices in both backend and frontend.

• Maintain technical documentation and API specifications.