Cloud QA Engineer (AI) - Platform Engineering

Quest Global; Bengaluru; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Quest Global seeks a Cloud QA Engineer to validate the enterprise platform, focusing on cloud infrastructure, IaC, Kubernetes, CI/CD pipelines, security, and deployment verification. You will design and execute test strategies, validate Terraform/OpenTofu deployments, Kubernetes platforms, and observability tooling, while collaborating with DevOps and solution architects in Bengaluru.

Required: 6–8 years IT experience with at least 3 years in Cloud QA or infrastructure validation; hands-on with

Qualifications

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

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.

Skills

AWS

Kubernetes

Terraform/OpenTofu

GitLab CI/CD

Docker

Observability tools

Postman

Python automation

Jira

Test automation

Tools

Terraform/OpenTofu

GitLab

Docker

Kubernetes

OpenTelemetry

Prometheus

Grafana

Loki

CloudWatch

Postman

Job description

Job Requirements

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.

Experience

Required Skillset

• 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.

Work Experience

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