Sr. Staff Python Developer (Python,AWS,AI)

• Lead the architecture and development of cloud-native applications, services, and platforms using Python and AWS.
• Build and manage cloud-native microservices leveraging AWS services such as Lambda, ECS, S3,Glue,RDS/DynamoDB, EMR, glue and EKS .

• Provide technical leadership across engineering teams, driving design reviews, architecture decisions, coding standards, and operational excellence.
• Partner with product, security, architecture, data science, and platform teams to translate business problems into scalable technical solutions.
• Develop reusable frameworks, libraries, APIs, and automation patterns that accelerate engineering delivery.
• Drive adoption of engineering best practices including CI/CD, infrastructure as code, test automation, observability, secure SDLC.
• Build and optimize large-scale distributed data processing solutions using Apache Spark, PySpark, SQL, and cloud data services.
• Evaluate emerging AI engineering tools, LLM frameworks, model providers, and agentic development platforms, recommending practical adoption paths.
• Design, build, and maintain secure, lightweight Docker images for Python, Spark, and GenAI applications.
• Build and maintain Infrastructure as Code using Terraform for AWS cloud resources and platform components.
• You will be reporting to a Senior Manager

• You need to have 11+ years of software engineering experience, with significant experience designing and delivering enterprise-scale systems.

• Need to have deep experience with AWS, including services such as Lambda, ECS/EKS, API Gateway, S3, IAM,EMR, CloudWatch, Step Functions, EventBridge, RDS/DynamoDB, Bedrock, Glue, or equivalent cloud-native services.
• Build application in React, TypeScript, and modern JavaScript (ES6+)
• Practical experience with Generative AI concepts and implementation patterns, including LLM integration, prompt engineering, embeddings, vector databases, RAG, AI safety, and model evaluation.
• Strong hands-on expertise in Python, including API development, backend services, automation, testing, packaging, and production-grade code quality.
• Strong working knowledge of Jupyter notebooks for experimentation, prototyping, and analytical development.

Technical Skills

• Languages: Python, SQL, PySpark, typescript
• Cloud: AWS, S3, Lambda, Glue, EMR, SageMaker, Bedrock, IAM, CloudWatch
• AI/GenAI: LLMs, RAG, embeddings, AI agents, model evaluation
• Data: Spark, distributed processing, data lakes, ETL/ELT, batch
• Tools: Jupyter, Git, CI/CD, Docker, Kubernetes, Terraform or CloudFormation
• Engineering: APIs, microservices, observability, testing, security, architecture design