Position Name - Software Engineer (Python,AWS,LLM)

Location - Mumbai (Wadala) - Work from Office

Experience Range - 4+years

Mandatory Requirement :

- 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.

- 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.

About the client :

Our client is a leading Insurance brokers company. As one of India's leading insurance brokers, they bring clarity to the complex world of insurance. With a pan-India presence across 1,000+ cities and decades of collective experience, they navigate intricate risk landscapes with expertise and precision.

Job Roles and 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.

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

- 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 :

- 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 analyze 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.

Qualification and Experience :

- Bachelors or masters degree in computer science or related field.

- 4+ years of experience in Software Engineering/Development

- 3+ years of experience in Python

- 1+ years of experience in ReactJs

- 2+ years of experience in AWS, SAM, services - Lambda, Glue, Cognito, Bedrock, AppSync & Amplify

- 1+ years of experience in Vector DB & LLM