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 contemporary, 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

- 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.
- 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.
- 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.
- 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.




- 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.
- 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.

📌 Tech Lead / Full Stack Engineer (Mumbai)
🏢 Edme Insurance Brokers
📍 Mumbai