AWS QA Engineer

Job Title: AWS QA Engineer

Job Type: Contract

Job Location:
London UK

Description:

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 Event Bridge
• 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 Event Bridge
• 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 AWS v1.0 Power Point

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 & Dev Ops 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 Event Bridge
• 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

Dev Ops & Engineering Practices

• Experience integrating tests within:
• CI/CD pipelines (Git Hub Actions Jenkins)
• Familiarity with:
• Infrastructure as Code validation (CDK)
• Monitoring tools (Cloud Watch)

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