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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Google Cloud Platform Platform Architect - **Company:** TekLeaders, Inc - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Bash Shell, Cloud Computing, Cloud Computing Security, Communications Protocols, Cyber Security, Computer Networks, Data Control, Data Security, DevOps, Identity and Access Management, Python (Programming Language), Network Security, Cloud Services, Web Services, Scripting, Google Cloud, HybridCloud, AI Platforms, Kubernetes, Deployment Automation, Terraform, Microservices - **Published:** August 4, 2026 - **Apply:** https://www.dice.com/job-detail/11aff5f9-9e79-40d6-90b9-ed563b22154a ## About the Role * Google AI / GenAI Enablement Experience: 10+ years of experience in cloud, platform, or DevOps engineering. * Google Cloud Platform Expertise: Strong hands-on experience with Google Cloud Platform. * IaC: Expertise in Terraform and Infrastructure as Code. Harness IACM Containers: Experience operating Kubernetes / GKE Autopilot in enterprise environments. * Scripting: Proficiency in Python, Bash, or Go. * Security & Networking: Strong understanding of cloud security, IAM, and networking concepts. * Governance: Experience working in regulated or highly governed environments. Desired / Preferred Qualifications: (AI-Focused)Experience enabling or operating Google AI services, such as: Vertex AI (endpoints, pipelines, monitoring, agentic AI engines, and communication protocols).Gemini APIs or other managed GenAI services ## Description The Google Cloud Platform Platform Engineer is responsible for designing, building, and operating secure, compliant, and scalable cloud and AI-enabled platforms on Google Cloud Platform (Google Cloud Platform). This role enables application, data, and analytics teams by providing standardized cloud infrastructure, Kubernetes platforms, and approved Google AI services while meeting financial services regulatory, security, and resiliency requirements. The engineer partners with the Cloud, Data & AI teams, Information Security, and Risk to ensure AI workloads are deployed with appropriate governance, data controls, and observability., * Enterprise Cloud & AI Platform Design and maintain enterprise Google Cloud Platform landing zones aligned with NYL governance standards. * Build and operate shared cloud services supporting both AI and non-AI workloads. * Implement Infrastructure as Code (Terraform) for platform, networking, and AI service enablement. * Support hybrid connectivity and secure data access patterns for AI use cases. * Kubernetes, Containers & AI Workloads Engineer and operate GKE clusters for application and AI inference workloads. * Enable containerized AI services and microservices using approved base images. * Support GPU-enabled workloads where approved. * Implement standardized deployment patterns for AI APIs and services. ## Related Videos - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [JavaScript? No. Java Scripts! - Scripting with Java](https://www.wearedevelopers.com/videos/2094-javascript-no-java-scripts-scripting-with-java) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) - [Implementing Feature Environments with AWS and Terraform](https://www.wearedevelopers.com/videos/531-implementing-feature-environments-with-aws-and-terraform) ## Related Articles - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)