Cloud QA Engineer (AI) - Platform Engineering

Job Description - Cloud QA Engineer

Role Summary

We are seeking a Cloud QA Engineer to validate and ensure the quality of the enterprise platform solution. The role involves testing cloud infrastructure, Infrastructure-as-Code (IaC), Kubernetes platform components, CI/CD pipelines, security, and platform services to ensure reliable and secure deployments.

Key Responsibilities

• Develop and execute test strategies for cloud-native platform components.
• Validate Infrastructure-as-Code (Terraform/OpenTofu) deployments and cloud resource provisioning.
• Test Kubernetes platform deployments, networking, storage, ingress, and platform services.
• Validate CI/CD pipelines, deployment workflows, and release processes.
• Perform functional, integration, regression, and end-to-end testing across platform components.
• Test observability capabilities, including logging, monitoring, dashboards, alerting, and distributed tracing.
• Design and execute automated test suites for platform validation and deployment verification.
• Identify, track, and manage defects while working closely with DevOps Engineers, and Solution Architects.
• Participate in architecture reviews, sprint planning, and release readiness activities.
• Support User Acceptance Testing (UAT), production validation, and post-deployment verification.

Required Skillset

Experience

• 6-8 years of overall IT experience.
• Minimum 3 years of experience in Cloud QA, Platform Testing, DevOps QA, or Infrastructure Validation.

Technical Skills

• Strong understanding of AWS cloud service.
• Hands-on experience validating Kubernetes platforms and containerized applications.
• Experience testing Infrastructure-as-Code using Terraform or OpenTofu.
• Experience validating CI/CD pipelines using GitLab.
• Good understanding of Docker, Kubernetes, and container orchestration.
• Knowledge of observability tools such as Prometheus, Grafana, OpenTelemetry, Loki, CloudWatch, or similar platforms.
• Experience with API testing tools such as Postman.
• Hands-on experience with test automation frameworks using Python, or similar technologies.
• Experience with defect tracking and test management tools such as Jira

Good to Have

• Experience validating AI-powered workflows or conversational AI platforms.
• Knowledge of cloud security testing and DevSecOps practices.
• Experience with performance and reliability testing for cloud platforms.
• Familiarity with scripting using Python.
• Any cloud certifications.

Cloud Testing, Infrastructure Testing, Observability Testing, CI/CD Pipelines Testing, IaC Testing, Automation Testing