Cloud Engineering Advisor
Domicile Information
Essential Functions (technical focus)
About the Role - Senior technical lead responsible for designing, building, and operating a secure, compliant, and scalable Google Cloud foundation and for driving the migration of workloads from another hyperscaler (Azure) to GCP. Combines hands‑on engineering, architecture, tooling, and mentorship to enable platform teams and application owners to run production services on GCP.
- Design and implement GCP landing zones: organization/folder/project structure, billing, labels, org policies, and guardrails.
- Build automated infrastructure and platform modules (Terraform/Config Connector/golden modules) for networking, compute, storage, databases, and IAM.
- Lead network and hybrid connectivity design: Shared VPC, hub-and-spoke, Interconnect, VPN, Private Service Connect, DNS and IPAM.
- Migrate compute/container workloads: VMs, managed instance groups, GKE (Autopilot/Standard), Cloud Run, App Engine.
- Migrate data and stateful services: Cloud Storage, Cloud SQL/AlloyDB, BigQuery, Dataflow/Dataproc, Pub/Sub, and cache/datastore services.
- Implement security and compliance controls: Cloud IAM, Cloud Identity/Workspace federation, Workload Identity, VPC Service Controls, Cloud KMS/CMEK, Secret Manager, Security Command Center.
- Build CI/CD and GitOps pipelines using Cloud Build/GitHub Actions/Artifact Registry and integrate IaC with policy-as-code.
- Establish observability and SRE practices: Cloud Monitoring, Logging, Trace, Error Reporting, SLOs/SLIs, incident runbooks, and game days.
- Define cost governance and FinOps practices: budgets, labels, committed use planning, cost dashboards and anomaly detection.
- Run pilots, lead migration waves, execute cutovers and rollback plans, and validate performance/RTO/RPO targets.
- Coach and transfer knowledge to platform and application teams; produce runbooks and detailed migration playbooks.
Knowledge, Skills and Abilities
- Strong leadership / mentorship skills
- Strong oral and written communication skills
- Must have: Terraform, Yaml configurations, Shell scripting, Kubernetes
- Nice to have: Java or Python, Databricks, Azure services such as Event Hubs, ADF, ADLS, Synapse
Preferred Qualifications
- 7+ years cloud engineering experience; 3+ years designing/operating GCP at scale.
- Hands‑on delivery of at least one end‑to‑end Azure-to-GCP migration (or equivalent hyperscaler-to-hyperscaler).
- Good to have certifications : Google Professional Cloud Architect required/ Professional Data Engineer/Professional Cloud Network Engineer/Professional Cloud Security Engineer strongly preferred.
- Kubernetes (production GKE) experience and familiarity with service meshes (Istio/Anthos) a plus.
- Experience with enterprise identity federation (Azure AD/Entra ID to Google Cloud Identity) and SCIM provisioning.
- Experience with Anthos or hybrid/multi-cloud management solutions is a plus.
Minimum Education
Minimum Experience
Domicile Information
Pay
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Pay
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Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability. Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations in the application or hiring process should contact recruitmentsupport@fedex.com . Applicants have rights under Federal Employment Laws:
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- Family and Medical Leave Act (FMLA)
- Employee Polygraph Protection Act
E-Verify Program Participant: Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:
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- Right to Work Notice ( English ) / ( Spanish )
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