AWS Automation QA Engineer

Area(s) of responsibility

Job Description - AWS QA Engineer (App Modernization & AI-driven Testing)

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:
o AWS Lambda, API Gateway
o Amazon EventBridge
o Amazon Kinesis Data Streams
Validate event-driven and streaming workflows, including message processing and data consistency.
Develop automated test scripts to validate:
o API responses
o Event flows and triggers
o Data persistence in DynamoDB / S3

2. Event-driven & Streaming Validation
Create and execute test scenarios for:
o Kinesis stream data ingestion and processing
o 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:
o Functional testing
o Regression testing (pre/post migration comparison)
o System Integration Testing (SIT)
Validate API-driven and microservices-based architectures [AWS Server...sting v1.0 | PowerPoint]

4. AI-driven Testing (Kiro)
Leverage AWS Kiro for AI-assisted testing to improve productivity.
Use AI for:
o Test case generation
o Test data preparation
o Automated validation and defect detection
Contribute to AI-enabled quality engineering practices.

5. Performance, Reliability & Security Testing
Execute:
o Performance and load testing for serverless workloads
o Resilience and failure scenario testing (event loss, retries, scaling)
Validate:
o Security and access controls (IAM roles, authentication flows)
o Data integrity and system reliability

7. Collaboration & Communication
Work closely with:
o Developers, Tech Leads, and Architects
o Customer stakeholders (as needed for validation and UAT)
Participate in:
o Design discussions
o 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:
o AWS Lambda
o Amazon EventBridge
o Amazon Kinesis Data Streams
o API Gateway
o DynamoDB and S3
Experience testing event-driven and serverless architectures

Test Automation & Tools
Experience with:
o Automation frameworks (Jest framework, Java/Springboot, or similar)
o API testing tools (Postman, REST clients)
Ability to:
o Create automated test suites
o Validate JSON-based inputs/outputs for APIs and events
Knowledge of:
o BDD frameworks (Cucumber - good to have)

AI & Innovation
Exposure to:
o AI-assisted testing (AWS Kiro preferred)
o Test automation using GenAI tools
Interest in driving AI-enabled QA practices