Cloud Engineering Advisor

As Cloud Engineer you will be responsible for the deployment, integration, and management of private, public, and/or hybrid cloud platform services supporting the development of complex analytical applications at enterprise scale. In this role the candidate will be demonstrating their networking and security protocol knowledge to ensure safe and scalable environment provisioning while protecting accessibility to data assets residing within. This person will be comfortable developing infrastructure as code using scripts, templates, blueprints, workflows, CI/CD orchestration tools, and other automation technologies in the spirit of speed and consistency. Continuous collaboration will be an important aspect of this role working with a variety of architects and peer engineering teams ensuring deployed services meet the highest levels of scalability, reliability, and performance while balancing security, maintainability, reliability, and operational excellence.

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 handson 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. 
• Handson delivery of at least one endtoend 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

Bachelor's Degree/equivalent in computer science, engineering, or information systems and/or equivalent formal training or work experience.

Minimum Experience

Five to seven (5 - 7) years' experience in cloud engineering or related field. Experience providing leadership in a general planning or consulting setting. Experience as a leader or a senior member of multi-function project teams. A related advanced degree may offset the related experience requirements.

Domicile Information

This is a hybrid position located in Plano, TX. Candidates must live within 50 miles of the campus location. Employees will be required to work at the FedEx campus location several times per week.

Pay

Plano TX: $8,896.99/monthly-$12,010.93/monthly

Preferred Qualifications:

Pay Transparency: This compensation range is provided as a reasonable estimate of the current starting salary range for this role across all potential locations. If this opportunity includes multiple job levels, the range is a reasonable estimate of the current starting salary for the lowest level to the current starting salary of the highest level. Actual starting pay would be determined by experience relative to the job, market level, pay at the location for this job and other job-related factors permitted by law. An employee may be eligible for additional pay, premiums, or bonus potential. The Company offers eligible employees health, vision and dental insurance, retirement, and tuition reimbursement.

Pay:

Additional Details:

For details on our comprehensive benefits, click here.

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:

• Know Your Rights
• Pay Transparency
• Family and Medical Leave Act (FMLA)
• Employee Polygraph Protection Act

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