Tech Lead / Full Stack Engineer

Edme Insurance Brokers; Mumbai; On-site; INR 2,500,000 - 3,800,000; Full time

Job summary

Edme Insurance Brokers is seeking a Tech Lead / Full Stack Engineer (Python, ReactJs, AWS Serverless, SAM) to design and implement scalable data-driven services. The role covers backend APIs with Flask/FastAPI, data processing with PySpark on AWS Glue, and a frontend in React.js.

You will lead technical decisions, mentor peers, and ensure robust, secure, scalable delivery. The ideal candidate has 4+ years in software development, strong Python and React experience, and hands-on AWS platform

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,
• 1+ years of experience in Vector DB & LLM (optional, added advantage)
• Strong experience in Python with Flask / FastAPI frameworks.
• 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.
• Strong hands-on experience in React.js, including Redux, Hooks, Context API.
• Proficiency in writing reusable and scalable React components.
• Experience with frontend testing frameworks like Jest, React Testing Library.
• 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.
• 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.

Responsibilities

• 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.
• 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.
• Design and deploy serverless applications using AWS SAM (Serverless Application
• Develop, test, and maintain AWS Lambda functions for real-time data processing, microservices, and backend automation.
• 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.
• Implement secure user authentication and authorization using AWS Cognito (user pools and identity pools).
• 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.
• 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.
• 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.
• 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.
• 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.
• Stay updated with emerging technologies and incorporate them into existing systems when
• Participate in code reviews, sprint planning, and architecture discussions.
• Ensure security best practices in both backend and frontend.
• Maintain technical documentation and API specifications.

Skills

Python

ReactJs

AWS

GraphQL

PySpark

Pandas

NumPy

Flask/FastAPI

Celery/Redis/SQS

CI/CD

Git

Agile/Scrum/Kanban

Jira

Swagger/OpenAPI

REST APIs

Docker/Kubernetes

AppSync

Education

Bachelor’s or Master’s in CS

Tools

AWS Lambda

AWS Glue

AWS Cognito

AWS SAM

S3

DynamoDB

Aurora

Docker

Kubernetes

AppSync

Job description

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

Requirements:

• Strong experience in Python with Flask / FastAPI frameworks.
• 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 writing reusable and scalable React components.
• 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.
• 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.

AWS:

1. Serverless Application Development (AWS SAM & Lambda)

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

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.
• Stay updated with emerging technologies and incorporate them into existing systems when
• Optimize application performance and scalability through regular refactoring and tuning.
• 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.