Ahmedabad, GJ, India
Information Technology
Other
BirlaSoft
Overview
Country/Region: IN
Requisition ID: 36530
Work Model:
Position Type:
Salary Range:
Location: INDIA - PUNE - BIRLASOFT OFFICE - HINJAWADI
Title: AWS Automation QA Engineer
Description:
Test Automation & Tools
o API testing tools (Postman, REST clients)
o Validate JSON-based inputs/outputs for APIs and events
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
1. Functional & Automation Testing (AWS Serverless)
o Amazon EventBridge
o Amazon Kinesis Data Streams
o Event flows and triggers
o Data persistence in DynamoDB / S3
1. Functional & Automation Testing (AWS Serverless)
- Design, develop, and execute test strategies and test cases for applications built on:
o Amazon EventBridge
o Amazon Kinesis Data Streams
- Validate event-driven and streaming workflows, including message processing and data consistency.
- Develop automated test scripts to validate:
o Event flows and triggers
o Data persistence in DynamoDB / S3
2. Event-driven & Streaming Validation
o Event orchestration via EventBridge
- Create and execute test scenarios for:
o Event orchestration via EventBridge
- Validate end-to-end workflows across microservices and serverless components.
- Perform integration testing and contract testing across services.
3. Application Modernization Testing
o Regression testing (pre/post migration comparison)
o System Integration Testing (SIT)
- Support testing for modernized applications (legacy cloud-native).
- Perform:
o Regression testing (pre/post migration comparison)
o System Integration Testing (SIT)
- Validate API-driven and microservices-based architectures [AWS Server...sting v1.0 | PowerPoint]
4. AI-driven Testing (Kiro)
o Test data preparation
o Automated validation and defect detection
- Leverage AWS Kiro for AI-assisted testing to improve productivity.
- Use AI for:
o Test data preparation
o Automated validation and defect detection
- Contribute to AI-enabled quality engineering practices.
5. Performance, Reliability & Security Testing
o Resilience and failure scenario testing (event loss, retries, scaling)
o Data integrity and system reliability
- Execute:
o Resilience and failure scenario testing (event loss, retries, scaling)
- Validate:
o Data integrity and system reliability
7. Collaboration & Communication
o Customer stakeholders (as needed for validation and UAT)
o Test planning and defect triage
- Work closely with:
o Customer stakeholders (as needed for validation and UAT)
- Participate in:
o Test planning and defect triage
- Ensure clear communication of quality metrics and risks.
Required Skills & Experience
Core Testing & AWS Skills
o Amazon EventBridge
o Amazon Kinesis Data Streams
o API Gateway
o DynamoDB and S3
Core Testing & AWS Skills
- Strong experience in QA / Automation testing for cloud applications
- Hands-on experience with:
o Amazon EventBridge
o Amazon Kinesis Data Streams
o API Gateway
o DynamoDB and S3
- Experience testing event-driven and serverless architectures
Test Automation & Tools
- Experience with:
o API testing tools (Postman, REST clients)
- Ability to:
o Validate JSON-based inputs/outputs for APIs and events
- Knowledge of:
AI & Innovation
o Test automation using GenAI tools
- Exposure to:
o Test automation using GenAI tools
- Interest in driving AI-enabled QA practices
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