Platform 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 Google Cloud Platform. Combines hands-on engineering, architecture, tooling, and mentorship to enable platform teams and application owners to run production services on Google Cloud Platform.

• Design and implement Google Cloud Platform 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, Big Query, 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 Git Ops pipelines using Cloud Build/Git Hub 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 Fin Ops 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 Google Cloud Platform at scale.
• Hands-on delivery of at least one end-to-end Azure-to-Google Cloud Platform 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  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.…