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Software QA Engineer – API & Cloud Testing – Hybrid
Job Description:
We are looking for an experienced Software QA Engineer with strong expertise in API testing, cloud-native application testing, automation testing, and UAT coordination. The ideal candidate should have experience validating enterprise cloud applications, managing QA processes, and ensuring high-quality software releases in distributed cloud environments.
Key Responsibilities:
Software QA Engineer – API & Cloud Testing – Hybrid
Job Description:
We are looking for an experienced Software QA Engineer with strong expertise in API testing, cloud-native application testing, automation testing, and UAT coordination. The ideal candidate should have experience validating enterprise cloud applications, managing QA processes, and ensuring high-quality software releases in distributed cloud environments.
Key Responsibilities:
- Design, build, and maintain automated test suites for APIs, backend services, and cloud-based applications
- Perform functional, regression, smoke, integration, and end-to-end testing
- Validate containerized applications and cloud platform deployments
- Coordinate User Acceptance Testing (UAT) activities with business stakeholders
- Manage bug tracking workflows, defect reporting, prioritization, and SLA tracking in Jira
- Execute integration testing across distributed applications and cloud services
- Create reusable test cases aligned with business and technical acceptance criteria
- Monitor test quality metrics, defect trends, and release readiness
- Collaborate with development, DevOps, and platform engineering teams in Agile environments
- Support QA automation initiatives and CI/CD quality processes
- 4 years of Software QA / Automation Testing experience
- Strong API testing experience using Postman, REST-assured, pytest, or similar tools
- Experience testing cloud-native and containerized applications
- Hands-on experience with Google Cloud Platform services such as BigQuery, Pub/Sub, GCS, or Cloud Run
- Strong understanding of cloud infrastructure concepts including IAM, networking, and storage
- Experience with regression, smoke, integration, and end-to-end testing
- Strong Jira experience including defect tracking and workflow management
- Experience coordinating and managing UAT activities
- Experience with CI/CD pipelines and QA validation processes
- Strong understanding of software testing methodologies and quality assurance best practices
- Experience with Dynatrace or monitoring tools is a plus
- Familiarity with AI/LLM testing concepts is a plus