Responsibilities

- Design, develop, and maintain scalable backend applications, APIs, and microservices using Python.
- Build and deploy cloud-native applications on AWS using services such as Lambda, ECS/EKS, API Gateway, S3, DynamoDB, RDS, SQS/SNS, and Step Functions, Bedrock etc.
- Design, develop, and maintain AI-enabled applications by leveraging Large Language Models (LLMs) and Generative AI technologies.
- Integrate applications with AI platforms and services such as OpenAI, Anthropic Claude, Amazon Bedrock, and Google Gemini.
- Collaborate with product owners, architects, and cross-functional teams to translate business requirements into scalable technical solutions.
- Ensure application security, reliability, observability, and scalability in production environments.
- Develop automated testing frameworks and participate in CI/CD implementation and deployment automation.
- Conduct code reviews, enforce engineering best practices, and mentor junior developers.
- Troubleshoot and resolve application, cloud infrastructure in a timely manner.
- Monitor and improve application performance, cloud resource utilization.

What You Will Need

- Strong programming skills using Python.
- 7+ years of software development experience using Python.
- Strong experience building REST APIs and microservices using frameworks such as FastAPI, Flask, or Django.
- Hands-on experience developing and deploying applications on AWS using services such as Lambda, ECS/EKS, API Gateway, S3, DynamoDB, RDS, SQS/SNS, IAM, CloudWatch, and Secrets Manager.




- Practical experience building AI-powered applications, products, or enterprise solutions.
- Experience working with Generative AI technologies, LLMs, prompt engineering, and AI application development.
- Strong understanding of software architecture, distributed systems, and cloud-native design principles.
- Experience with relational and NoSQL databases such as PostgreSQL, MySQL, DynamoDB, MongoDB, or similar technologies.
- Good to have hands-on experience with frameworks such as LangChain, LangGraph, LlamaIndex, and Model Context Protocol (MCP).
- Good to have experience implementing Retrieval-Augmented Generation (RAG), vector databases, embeddings, and semantic search solutions.
- Familiarity with containerization and orchestration technologies such as Docker and Kubernetes.
- Experience with version control systems (Git) and CI/CD pipelines.
- Experience with observability and monitoring tools.
- Ability to mentor junior developers and provide technical leadership.
- Excellent problem-solving skills and ability to work in a fast-paced workplace.
- Excellent communication and collaboration skills.

Education and Experience

- Bachelors degree in Computer Science, Information Systems, Information Technology, Engineering, or a related discipline, or equivalent practical experience.
- 7+ years of software development experience using Python.
- 3+ years of experience building and deploying cloud-native applications on AWS.

Hands-on experience designing and delivering production-grade AI-enabled applications and products.

📌 MODULE LEAD - Python (Uttar Pradesh)
🏢 Happiest Minds Technologies
📍 Uttar Pradesh