AWS QA Engineer ( App Modernization & AI driven Testing)

Kryptos Technologies Ltd
London, UK
about 2 months ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) JavaScript (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Amazon S3 Automation of Tests Cloud Computing Data Validation Data Integrity Persistent Data Structure DevOps
+31 more
Distributed Systems Amazon DynamoDB Github Monitoring of Systems Identity and Access Management JSON Load Testing Microsoft PowerPoint Regression Testing Data Streaming System Integration Testing Test Case Test Data Strategies of Testing Data Ingestion Postman Spring-boot Reliability of Systems Generative AI AWS Lambda Event Driven Architecture Integration Tests Integration Frameworks Apache Kafka Api Design Cloudwatch Api Gateway Cucumber (Software) Serverless Computing Jenkins Microservices

Job 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., 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

Do you have experience in Test automation?, 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), * AWS Certified (Developer or Cloud Practitioner)
  • Experience with:
  • Streaming platforms (Kafka/MSK)
  • Performance and security testing tools
  • Exposure to enterprise-scale AWS modernization programs

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:06 min

Elevating the QA engineering role for complex challenges

Ondřej Gróf Ondřej Gróf · WWC Europe 2026

3:47 min

Exploring JSON, CBOR, and JOSE for data serialization

Aaron Russell · LIVE

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · WWC Europe 2026

6:36 min

Funding open source through GitHub Accelerator and Sponsors

Stormy Peters · WWC 2023

4:04 min

Testing strategies and philosophical approaches for modern application delivery

Lian Li · WWC 2023

2:03 min

Distinguishing type definition constructs from data validation routines

Clemens Vasters Clemens Vasters · WWC 2025

Videos

See all

Related articles

See all