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Functional Tester - API
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Birlasoft
Job Description
Area(s) of responsibility
Job Description – AWS QA Engineer (App Modernization & AI-driven Testing)
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
Core Testing & AWS Skills
Job Description – AWS QA Engineer (App Modernization & AI-driven Testing)
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
- Collaboration & Communication
- 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.
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
- 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)
- Exposure to:
- AI-assisted testing (AWS Kiro preferred)
- Test automation using GenAI tools
- Interest in driving AI-enabled QA practices
Required Skills
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