AWS QA Engineer (App Modernization & AI-driven Testing)
Duration: 4 -6 months
Location: London -Hybrid (3 Days onsite)
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
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
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.
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 [AWS Server...sting v1.0 | PowerPoint]
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.
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
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.
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)
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
