Python AWS Tech Lead

We're looking for a hands-on AWS Python Lead with deep expertise in AWS Serverless technologies and scalable cloud-native architectures. Ideal candidates will have strong experience designing, building, and deploying serverless backend systems using: AWS Lambda (Node.js / Python) Amazon DynamoDB Proficiency in single-table design, use of GSIs, and DynamoDB Streams Amazon EventBridge for event-driven microservices AWS Step Functions for workflow orchestration Amazon API Gateway and AWS AppSync (GraphQL) for APIs 💻 Programming Skills Proficient in Node.js and Python Strong ability to write modular, clean, and testable serverless functions Experience with writing unit and integration tests using frameworks like Jest or PyTest 📡 Messaging & Streaming Systems Solid understanding of Apache Kafka architecture and internals: Event publishing/subscription patterns Partitioning, retention, and offset management Experience integrating Kafka with on-premise or cloud-native connectors 🏗 Infrastructure as Code & Monitoring Hands-on experience with deployment frameworks like: AWS CDK, Serverless Framework, or Terraform Expertise in monitoring and observability using: Amazon CloudWatch, X-Ray, Log Insights, custom metrics Skilled at creating dashboards, alerts, and structured logs 🔐 Authentication & Authorization Familiar with identity and access controls using: Amazon Cognito, IAM roles/policies, and Lambda Authorizers Comfortable with integration of OAuth2, JWT, and SAML-based authentication 💡 Nice-to-Have Skills 🌐 Frontend / UI Collaboration Exposure to React.js or Angular Ability to collaborate with frontend teams or mentor full-stack developers Understanding of API-to-UI integration and performance tuning 📊 Data Engineering & Analytics Familiarity with Amazon Redshift is a plus: Experience with query optimization and performance tuning Exposure to data ingestion pipelines from S3 or Kafka to Redshift 🤖 AI-Powered Developer Tooling Comfortable leveraging AI tools to enhance productivity: Test generation, code reviews, and CI/CD automation using tools like: Amazon Q, GitHub Copilot, GitLab Duo