Architect the foundation that enables our Digital Transformation and AI Adoption, moving us from legacy patterns to a cloud-native, automated, and secure future.
Lead the enterprise migration from Azure to GCP, defining the target landing zone architecture, resource hierarchy (Organization/Folders/Projects), network topology (Shared VPCs, Interconnects, Cloud VPN), and identity federation strategy (Azure AD → Workforce Identity Federation).
Develop a migration factory approach to prioritize and move workloads, balancing "lift and shift" speed with "modernize" value (e.g., leveraging GKE Autopilot, Cloud Run, and serverless patterns).
Create and own the multi-year Cloud Strategy roadmap, ensuring every architectural decision enables business agility, cost efficiency, and security outcomes.
Establish a Cloud Center of Excellence (CCoE) as a hub for enablement rather than a bottleneck, providing standards, reusable modules, and coaching to teams.
Build an Internal Developer Platform (IDP) with "golden paths" (IaC templates, CI/CD pipelines, secrets management, observability) and policy-as-code guardrails to accelerate delivery.
Partner with Finance on budgets and variance analysis.

Requirements

15+ years of technology experience, with at least 7+ years in a senior architecture role leading complex cloud initiatives.
Bachelor’s or master’s degree in computer science, Engineering, Information Systems, or a related field
Proven success leading a large-scale migration to Google Cloud Platform (GCP), ideally from a legacy or alternative cloud environment (Azure/AWS).
Experience establishing or leading a Cloud Center of Excellence (CCoE) and implementing FinOps operating models.
Prior ownership of CUD/SUD negotiations and multi-million-dollar cloud budgets is highly preferred.
Sufficient knowledge of Azure architecture (networking, identity, security controls) to effectively plan and de-risk the migration strategy.
Deep hands-on proficiency with Infrastructure as Code (Terraform), CI/CD pipelines (GitHub Actions/Cloud Build/Cloud Deploy), and container orchestration (Kubernetes).
Experience architecting infrastructure that supports data-intensive and compute-intensive AI workloads (Vertex AI/MLOps).
Ability to simplify complex technical trade-offs into clear business outcomes for executive stakeholders.

Benefits

Innovative projects: Work on cutting-edge initiatives that shape our communities, drive our growth, and make a tangible impact.
Career growth: Advance your career and achieve your goals with industry-leading training and development programs.
Competitive benefits & compensation: Enjoy a comprehensive and flexible benefits package along with competitive compensation that rewards your contributions and supports your well-being.
Collaborative culture: Join our enterprising team where innovation thrives, collaboration is key, and our people are empowered to be their authentic selves and do their best work.
Diversity, Equity & Inclusion: Our robust North American Diversity & Inclusion Program features eight Employee Resource Groups (ERGs), where you can connect, learn, and contribute to a diverse and supportive community.
Global network : Join a global team of 24,000 professionals across 70 countries, where you'll expand your network and learn from experts in a dynamic international community.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

cloud architecturecloud migrationInfrastructure as CodeTerraformCI/CD pipelinesKubernetesGoogle Cloud Platformdata-intensive workloadscompute-intensive workloadsMLOps

Soft skills

leadershipstrategic planningcommunicationcollaborationproblem-solvingbudget managementcoachingbusiness agilitycost efficiencysimplifying technical trade-offs

Certifications

Bachelor’s degreeMaster’s degree