At a Glance
- Tasks: Join us to validate cutting-edge cloud-native applications and enhance quality with AI-driven testing.
- Company: Dynamic tech company focused on innovation and collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Exciting career path with a focus on AI and modern engineering practices.
- Why this job: Be at the forefront of technology, ensuring high-quality software in a fast-paced environment.
- Qualifications: Experience in QA/testing for cloud applications and strong analytical skills.
The predicted salary is between 60000 - 80000 £ per year.
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.
- 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.
- 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 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)
- 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
QA Engineer in London employer: E-Solutions
E-Solutions is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of Warwick. Employees benefit from comprehensive growth opportunities, competitive remuneration, and a supportive environment that values their contributions to the Digital Workplace. With a focus on Agile methodologies and cutting-edge technologies, this role not only promises meaningful work but also the chance to lead impactful projects within a forward-thinking team.
We think you need these skills to ace QA Engineer in London
AWS Lambda
Amazon EventBridge
Amazon Kinesis Data Streams
API Gateway
DynamoDB
S3
Test Automation Frameworks
