Software Engineer 2

SKS Enterpprises

  • Mumbai, Maharashtra
  • Permanent
  • Full-time
  • 1 month ago
Position Name - Software Engineer (Python,AWS,LLM)Location - 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.
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 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.
Qualification and Experience:
  • 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
  • 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

SKS Enterpprises