QA Infrastructure & Data Lead
SGS Consulting
Job Responsibilities:
- Own end-to-end lifecycle management of QA, test, and pre-production environments
- Ensure configuration control, version management, and prevention of environment drift
- Coordinate provisioning, upgrades, patching, and environment readiness with infrastructure teams
- Manage test environment scheduling, usage, and conflict resolution across teams
- Oversee test data management strategy, including data refresh cycles and governance
- Maintain data integrity, consistency, and compliance across non-production environments
- Develop and maintain enterprise test data repositories and reusable datasets
- Implement test data automation, synthetic data generation, and data privacy controls
- Collaborate with Release Management, PMO, and Application teams on testing requirements
- Ensure audit, compliance, and regulatory adherence for QA and test environments
- Define KPIs and reporting metrics for QA environment and test data services
- Lead process improvement initiatives for QA infrastructure and test data operations
- Monitor environment performance, stability, and availability using observability tools
- Support CI/CD pipeline integration and deployment validation activities
- Provide technical leadership, mentorship, and guidance to QA and infrastructure teams
- Communicate technical concepts and environment status to stakeholders and leadership
Skills:
- Strong experience in QA infrastructure, test environment management, and release governance
- Expertise in test data management (TDM) and environment lifecycle operations
- Strong knowledge of SDLC, STLC, and change management processes
- Hands-on experience with SQL, Oracle, and relational databases
- Experience with CI/CD tools such as Azure DevOps, Jenkins, or GitHub
- Familiarity with Infrastructure as Code (Terraform, ARM, etc.)
- Experience with monitoring tools like Splunk or Dynatrace
- Knowledge of ServiceNow, JIRA, and test management tools (e.g., qTest)
- Experience with automation tools such as Ansible and deployment validation frameworks
- Strong understanding of cloud and hybrid infrastructure environments
- Experience with version control, deployments, and environment governance
- Knowledge of synthetic data generation and test automation frameworks preferred
- Strong analytical, troubleshooting, and problem-solving skills
- Excellent leadership, communication, and stakeholder management abilities
Education/Experience:
- Bachelor’s degree in Computer Science, MIS, or related field required
- 8+ years of experience in IT operations, QA operations, or release management
- 3+ years of experience managing non-production environments and test data
- Experience with enterprise-scale QA infrastructure or environment management
- Exposure to DevOps, CI/CD, and automation-driven QA ecosystems
Vacancy posted 12 days ago
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