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Kryptos Technologies Limited

AWS QA Engineer ( App Modernization & AI driven Testing)

London, ENG, GBOn-siteIndividual contributorvia jobspy_indeed
gojavaawsdistributed systemskafka

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**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

**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**

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**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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