Kryptos Technologies Limited
AWS QA Engineer ( App Modernization & AI driven Testing)
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Validate and automate testing for AWS serverless, event-driven and modernized applications. Design and run functional, integration, contract, performance, resilience and security tests. Build automated test frameworks, integrate with CI/CD, leverage AWS Kiro for AI-assisted test generation and validation, and support migration/regression testing across microservices.
Tasks
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.
Requirements
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
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