Cloud Governance Engineer

Join us in bringing joy to customer experience. Keystone AI is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide. Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves. Key Responsibilities: Develop and implement governance strategies, policies, frameworks, and procedures in a multi-cloud environment (GCP, AWS, Azure) to standardize business operations and ensure compliance with regulatory requirements and regulations (SOC 2, HIPAA, GDPR) Work with security teams to effectively enforce Identity and Access Management (IAM) policies and network security best practices across the organization Develop and maintain dashboards that would track cloud governance metrics such as security posture, timely key rotation, and compliance Collaborate with diverse stakeholders to identify service level objectives (SLOs), key performance indicators (KPIs), and metrics for measuring operational efficiency and compliance Work closely with IT, Finance, Security, DevOps, Cloud Architects, and Product Engineering development teams to maintain consistent governance controls across all environments Requirements: 3+ years of working in cloud environment (experience with GCP is highly preferred) 3+ years of working with modern public cloud services such as EC2, VPC, S3/GCS, IAM, and AWS/GCP CLI Hands-on experience with cloud security controls, identity and access management (IAM), network security, encryption, and data protection tools such as GCP Organization Policy, AWS Config, or Azure Policy Proficiency in CI/CD programming, scripting (e.g., Python, PowerShell) and automation tools (e.g., Ansible) for cloud governance and infrastructure management Knowledge of automation principles and Infrastructure-as-Code (IaC) tools such as Terraform, AWS CloudFormation, or Azure Resource Manager (ARM) Experience establishing and maintaining strong working relationships with a wide variety of business groups (Development, Product, Network Engineering, Voice Engineer, Security, etc.) and being able to translate technical information into business-friendly language Preferred Qualifications: Bachelor’s degree in Computer Science, Engineering, or other relevant technical field Knowledge of Kubernetes best practices Experience with Microsoft Active Directory Federation Services (ADFS) Experience with Okta integration Result orientated, self-starter AWS certified GCP certified Benefits: Keystone AI Shares Bonus Scheme 10% Flexi Benefit Meal Allowance Medical Insurance Life Insurance 25 day Annual Leave + Public Holidays Keystone AI embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we are. Keystone AI is an equal opportunity employer. View our privacy policy, including our privacy notice to California residents here: https://www.five9.com/pt-pt/legal . Note: Keystone AI will never request that an applicant send money as a prerequisite for commencing employment with Keystone AI.