Software Engineer

Position Name : Software Engineer : Mumbai (Wadala) - Work from OfficeExperience Range : 4+yearsMandatory 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.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 :- 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 :- 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 :- 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 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 (ref:hirist.tech)