Deep, hands-on expertise in Google Cloud Platform (Google Cloud Platform), including Compute Engine, GKE, Cloud Storage, BigQuery, Cloud Build, IAM, and VPC. • 8+ years of relevant experience in cloud engineering, with a strong background in architecting and operating Google Cloud Platform environments at scale. • Advanced proficiency in Terraform for Google Cloud Platform infrastructure automation; familiarity with Ansible and Git. • Strong understanding of AI platforms and AI/ML workflows, with hands-on Vertex AI experience. • Familiarity with agentic systems and emerging AI protocols such as Model Context Protocol (MCP) and Agent2Agent (A2A). • Advanced knowledge of Linux (RHEL) and Python for automation and tooling. • Demonstrated experience with DevSecOps, zero-touch automation, and shift-left security practices. • Advanced understanding of Google Cloud Platform networking (Shared VPC, Cloud Interconnect/VPN, Private Service Connect), security principles, and compliance frameworks. • Experience with Behavior Driven Development (BDD) for testing. • Excellent problem-solving, analytical, and communication skills. • Ability to work effectively in a collaborative, cross-functional team environment. • Adaptability to changing technologies and project requirements.
Nice to Have • Google Cloud Professional certification(s): Cloud Architect, Cloud DevOps Engineer, Cloud Security Engineer, or Machine Learning Engineer. • Experience with other cloud providers (AWS, Azure) and their AI platforms (SageMaker, Bedrock, Copilot).
