Infrastructure Quality Assurance Engineer

About NTT DATA

NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. As a Global Top Employer, we have experts in more than 50 countries.

About the Role

We are seeking a detail-oriented Cloud Engineer QA with expertise in infrastructure validation, cloud migration testing, and platform quality assurance for On-Premises to GCP migration programs. The ideal candidate should have 3 to 5 years of experience in cloud infrastructure QA, automation testing, environment validation, and production readiness testing. The candidate will work closely with infrastructure, DevOps, and data engineering teams to ensure successful migration, system reliability, performance, and compliance throughout cloud transformation initiatives. Thai language proficiency is mandatory.

Key Responsibilities

• Validate infrastructure migration activities from On-Premises to GCP environments.
• Perform functional, integration, regression, and performance testing for cloud infrastructure and cloud-native data platforms.
• Validate environments and deployments involving Spark, Airflow, Kafka, BigQuery, MongoDB, Redis, Dataproc, Dataplex, and Agent Platform Workbench.
• Design and execute automated QA processes for infrastructure deployments and cloud services.
• Validate CI/CD pipelines, deployment workflows, and release quality.
• Perform environment verification, security validation, and configuration testing.
• Collaborate with DevOps, infrastructure, and data teams during migration projects.
• Identify defects, bottlenecks, and performance issues across cloud systems.
• Support production readiness testing and operational validation.
• Participate in root cause analysis and issue resolution activities.

Required Skills

• Experience in cloud infrastructure testing and QA processes.
• Knowledge of Google Cloud Platform (GCP) services and cloud-native architectures.
• Experience validating migrations from On-Premises to Cloud environments.
• Familiarity with Spark, Airflow, Kafka, BigQuery, MongoDB, Redis, Dataproc, Dataplex, and Agent Platform Workbench.
• Understanding of CI/CD pipelines and automation testing frameworks.
• Familiarity with Kubernetes, Docker, and containerized environments.
• Experience with monitoring, logging, and observability tools.
• Strong analytical and troubleshooting skills.
• Experience with API testing and environment validation.
• Thai language proficiency is mandatory.

Tools Required

Cloud Platform: Google Cloud Platform (GCP)

Data & Analytics Platforms: Spark, Airflow, BigQuery, Kafka, MongoDB, Redis, Dataproc, Dataplex, Agent Platform Workbench

Testing & Automation: Selenium, Postman, JMeter

CI/CD: Jenkins, GitHub Actions, GitLab CI/CD

Containers: Docker, Kubernetes

Monitoring: Grafana, Prometheus, ELK Stack

Collaboration Tools: Jira, Confluence

Version Control: Git, GitHub