AWS QA Engineer ( App Modernization & AI driven Testing)

Tasks
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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

• 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.

• 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]

• 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.

• 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

• 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)

• Experience in testing:


• Microservices architectures


• API\-first systems


• Strong understanding of:


• Integration flows


• Data validation across distributed systems

• Exposure to:


• AI\-assisted testing (AWS Kiro preferred)


• Test automation using GenAI tools


• Interest in driving AI\-enabled QA practices

• Experience integrating tests within:


• CI/CD pipelines (GitHub Actions, Jenkins)


• Familiarity with:


• Infrastructure as Code validation (CDK)


• Monitoring tools (CloudWatch)

• AWS Certified (Developer or Cloud Practitioner)


• Experience with:


• Streaming platforms (Kafka/MSK)


• Performance and security testing tools


• Exposure to enterprise\-scale AWS modernization programs

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