Engineer Quality

Role Overview We are seeking a skilled AWS QA Engineer with strong experience in testing serverless and event-driven architectures . The role focuses on validating modern cloud-native applications built on AWS, ensuring high quality across application modernization programs , while leveraging AI-assisted testing using AWS Kiro . Key Responsibilities 1. Functional & Automation Testing (AWS Serverless) Design, develop, and execute test strategies and test cases for applications built on: AWS Lambda, API Gateway Amazon EventBridge Amazon Kinesis Data Streams Validate event-driven and streaming workflows , including message processing and data consistency. Develop automated test scripts to validate: API responses Event flows and triggers Data persistence in DynamoDB / S3 2. Event-driven & Streaming Validation Create and execute test scenarios for: Kinesis stream data ingestion and processing Event orchestration via EventBridge Validate end-to-end workflows across microservices and serverless components . Perform integration testing and contract testing across services. 3. Application Modernization Testing Support testing for modernized applications (legacy → cloud-native) . Perform: Functional testing Regression testing (pre/post migration comparison) System Integration Testing (SIT) Validate API-driven and microservices-based architectures 4. AI-driven Testing (Kiro) Leverage AWS Kiro for AI-assisted testing to improve productivity. Use AI for: Test case generation Test data preparation Automated validation and defect detection Contribute to AI-enabled quality engineering practices . 5. Performance, Reliability & Security Testing Execute: Performance and load testing for serverless workloads Resilience and failure scenario testing (event loss, retries, scaling) Validate: Security and access controls (IAM roles, authentication flows) Data integrity and system reliability 6. Automation & DevOps Integration Build and maintain automated testing frameworks for AWS workloads. Integrate testing into CI/CD pipelines . Enable automated validation for: Serverless APIs Event-driven systems Ensure continuous testing and fast feedback cycles . 7. Collaboration & Communication Work closely with: Developers, Tech Leads, and Architects Customer stakeholders (as needed for validation and UAT) Participate in: Design discussions Test planning and defect triage Ensure clear communication of quality metrics and risks . Required Skills & Experience Core Testing & AWS Skills Strong experience in QA / Automation testing for cloud applications Hands-on experience with: AWS Lambda Amazon EventBridge Amazon Kinesis Data Streams API Gateway DynamoDB and S3 Experience testing event-driven and serverless architectures Test Automation & Tools Experience with: Automation frameworks (Jest framework, Java/Springboot, or similar) API testing tools (Postman, REST clients) Ability to: Create automated test suites Validate JSON-based inputs/outputs for APIs and events Knowledge of: BDD frameworks (Cucumber - good to have) Application Modernization Testing Experience in testing: Microservices architectures API-first systems Strong understanding of: Integration flows Data validation across distributed systems AI & Innovation Exposure to: AI-assisted testing (AWS Kiro preferred) Test automation using GenAI tools Interest in driving AI-enabled QA practices DevOps & Engineering Practices Experience integrating tests within: CI/CD pipelines (GitHub Actions, Jenkins) Familiarity with: Infrastructure as Code validation (CDK) Monitoring tools (CloudWatch) Soft Skills Strong analytical and problem-solving skills Good communication and collaboration ability Attention to detail and quality mindset Preferred Qualifications AWS Certified (Developer or Cloud Practitioner) Experience with: Streaming platforms (Kafka/MSK) Performance and security testing tools Exposure to enterprise-scale AWS modernization programs