Baburaj Parayil
Cloud Governance Lead @Toyota Financial Services Corporation
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WORK HISTORY
Cloud Governance Lead @Toyota Financial Services Corporation
Plano, TX, US
Define and enforce cloud governance frameworks, policies, and standards to ensure security, compliance, and operational excellence.Design and implement AWS Service Control Policies (SCPs) and organizational guardrails aligned with regulatory and enterprise requirements.Deploy preventive, detective, and corrective controls using AWS Organizations, Control Tower, AWS Config, and Security Hub for continuous compliance.Develop compliant Infrastructure as Code (Terraform/CloudFormation) aligned with internal frameworks.Build CSPM alert triage and remediation frameworks (e.g, Prowler, Orca) with automated mitigation and risk prioritization.Implement cloud tagging strategies for governance, cost optimization, chargeback/showback, and lifecycle management.Integrate governance controls into CI/CD pipelines and DevSecOps workflows in collaboration with security and DevOps teams.Conduct risk assessments, audits, and policy reviews to ensure regulatory and enterprise alignment.Manage stakeholders and communicate governance strategy with engineering teams, security teams, auditors, and leadership.Participate in Agile ceremonies and ensure governance initiatives are delivered efficiently.Document governance architectures, policies, and procedures, and train engineering teams on best practices.Continuously improve governance automation, tooling, and frameworks to reduce risk and operational overhead.
EDUCATION
Mahatma Gandhi University
BCA, Computer Science
ABOUT BABURAJ PARAYIL
Dynamic Lead DevOps Engineer with extensive experience in Project Management, Automation,Infrastructure management, and CI/CD pipelines to enhance operational efficiency. Expertise incloud platforms (AWS, GCP), Kubernetes, Terraform, and scalable architectures. Proven abilityto lead cross-functional teams, optimize DevOps workflows, and implement best practices forsystem reliability, security, and cost optimization.
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