Google Cloud Architect

Sr. Principal, GCP Platform Engineer What You’ll Do
* Google Cloud Platform leadership:
Lead enterprise platform architecture and modernization across organization and folder design, project structure, landing zones, identity, networking, security, governance, observability, resilience, and cost management.
* Delivery leadership:
Translate business priorities into practical platform roadmaps, engineering outcomes, and measurable value.
* Engineering excellence:
Set standards for Infrastructure as Code, CI/CD, policy as code, Dev Sec Ops , SRE, and operational readiness.
* Migration and modernization:
Guide assessment, planning, Google Cloud foundation readiness, workload transition, modernization, and stabilization.
* Solution shaping:
Partner with Sales, Delivery, Google Cloud, and technical leaders to qualify opportunities, define scope, estimate work, and create repeatable offerings.
* Technical advisory:
Review architectures and operating models, resolve complex risks, and guide practical decisions.
* People leadership:
Mentor architects and engineers, grow capability, and strengthen technical communities.
* Cross-cloud collaboration:
Apply GCP-first expertise across AWS, SaaS, security, data, and application ecosystems.

What You’ll Bring
* Significant experience leading enterprise Google Cloud Platform infrastructure, migration, modernization, or platform engineering programs.
* Deep Google Cloud Platform architecture expertise across organization policies and resource hierarchy, Cloud Identity and IAM, shared VPC and hybrid connectivity, security, governance, Compute Engine, Google Kubernetes Engine, Cloud Run, storage and database services, observability, resilience, and cost optimization.
* Hands-on leadership with Terraform, Google Cloud CLI and APIs, Git Hub Actions, Cloud Build, or comparable CI/CD platforms, scripting, and automation.
* Strong working knowledge of Google Kubernetes Engine and Kubernetes, including cluster architecture, fleet and policy management, workload identity, networking, upgrades, reliability, capacity planning, troubleshooting, and change management.
* Working knowledge of how data, analytics, and AI workloads influence Google Cloud Platform architecture, including their identity, networking, security, reliability, and cost requirements.
* Consulting experience communicating with executive, business, architecture, security, and engineering stakeholders.
* Experience shaping opportunities, defining scope, estimating delivery, and contributing to proposals and statements of work; P&L ownership is not required.
* Sound judgment under ambiguity, with the ability to evaluate evidence, isolate risk, and drive action.
* Collaborative leadership that develops others and remains accountable for quality and outcomes.
* Responsible use of generative AI and coding assistants, with rigorous validation and ownership of results. Additional Experience That Is Valuable
* Google Cloud Platform migration and hybrid services, including Migration Center, Migrate to Virtual Machines, Database Migration Service, Storage Transfer Service, Google Distributed Cloud, VMware Engine, and hybrid connectivity patterns.
* Enterprise Google Kubernetes Engine spanning secure cluster patterns, fleet management, workload identity, service networking, policy enforcement, observability, upgrades, and platform operations.
* Fin Ops, reliability engineering, incident management, and postmortem practices.
* Multi-cloud architecture or delivery experience across AWS or other major cloud platforms.
* M&A integration, separation, tenant migration, or large-scale infrastructure transition experience.
* Relevant certifications such as Google Cloud Professional Cloud Architect, Professional…