• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• An equivalent combination of education and relevant experience sufficient to successfully perform the essential functions of the job.
• Preferred: Google Cloud Professional, Cloud Architect, Professional Data Engineer, or other relevant Google Cloud certification.
• Preferred: Datadog certification or demonstrated hands-on experience with Datadog monitoring and logging.
• Minimum 5 years of relevant cloud infrastructure, systems engineering, or platform engineering experience, including at least 3 years working with Google Cloud Platform.
• Minimum 5 years of hands-on experience with Google Kubernetes Engine (GKE) or comparable enterprise Kubernetes platforms.
• Preferred 8 years of progressively responsible cloud and infrastructure engineering experience in an enterprise environment.
• Preferred 8 years experience supporting Windows Server, Active Directory, cloud networking, security, automation, CI/CD, backup, and disaster recovery solutions.
• Strong knowledge of GCP architecture and services, including Compute Engine, Cloud Storage, GKE, VPC, Cloud Load Balancing, Cloud CDN, BigQuery, Cloud Functions, Cloud Run, and Cloud Pub/Sub.
• Strong knowledge of Windows Server, Active Directory, cloud networking, identity and access management, encryption, security controls, compliance requirements, backup, disaster recovery, and business continuity practices.
• Ability to analyze ambiguous or complex technical issues, compare alternatives, assess risk and operational impact, and make or recommend sound architecture and troubleshooting decisions.
• Proficiency with infrastructure-as-code, GitOps, PowerShell, Python, Bash, Ansible, CI/CD pipelines, Bitbucket, Datadog, or similar tools.
• Knowledge of DevOps and DevSecOps practices, including integrating security and operational controls into automated delivery pipelines.
• Familiarity with GCP database services, including Cloud SQL, Spanner, AlloyDB, Bigtable, and BigQuery.
• Strong project management, documentation, problem-solving, communication, and cross-functional collaboration skills; ability to manage milestones, communicate with stakeholders and management, and provide technical guidance.