This role pays less than
69%
of similar roles. Most pay
$147,650–$203,350
— the shaded band above.
At the midpoint, this role pays about
$154k
versus about
$176k
for comparable roles.
Based on 240 similar postings.
Employer
About McKesson Corporation
McKesson Corporation is a premier American healthcare services company that distributes pharmaceuticals, medical-surgical supplies, and provides technology to the healthcare industry.
McKesson Corporation currently has
78 open roles
on FindRole.
Listed pay typically runs
$127,400–$211,300
across 57 roles with salary data.
Sr. Cloud Engineer
The Sr. Cloud Engineer joins the infrastructure team to design, build, and maintain enterprise GCP infrastructure using Terraform, Terragrunt, and GitOps practices. This role involves managing landing zone governance, configuring hybrid connectivity between GCP services and Oracle Exadata or JDE ERP environments, and overseeing Apigee X platform engineering. The engineer will manage GKE clusters for Spring Boot microservices, support serverless workloads via Cloud Run and Cloud Functions, and implement FinOps standards for cost optimization. Key technical requirements include proficiency in Python, Bash, or Go, along with expertise in VPC Service Controls, mTLS, and the Google Cloud Operations Suite. The role focuses on solving complex integration challenges between cloud-native applications and legacy backend systems while ensuring high-performance, secure connectivity across hybrid network topologies to support critical enterprise data flows and infrastructure reliability.
What does a Cloud Engineer earn?
Median $160000 from 37 postings across 9 companies.
Design and maintain enterprise GCP infrastructure using Terraform, Terragrunt, and GitOps practices.
Manage GCP Landing Zone governance including resource hierarchies, IAM roles, and security baselines.
Configure and maintain hybrid connectivity between GCP services, Apigee X, and Oracle Exadata/JDE environments.
Provision and manage Apigee X runtime environments, API gateways, and secure traffic controls.
Deploy and operate Google Kubernetes Engine (GKE) clusters for microservices and AI workloads.
Build automated deployment pipelines using GitHub Actions or Cloud Build for infrastructure and applications.
Implement FinOps standards to manage cloud costs through resource tuning and budget reporting.
Maintain observability systems including centralized logging, monitoring, and distributed tracing across all environments.
What we're looking for
10+ years of enterprise IT/infrastructure experience is required.
At least 4+ years of experience designing and operating production environments on Google Cloud Platform (GCP) is required.
Experience provisioning Apigee X/Edge environments and managing hybrid interconnectivity to Oracle Exadata and JD Edwards systems is required.
Expert-level skills with Terraform, Git, and CI/CD pipelines like GitHub Actions or Cloud Build are required.
Proficiency in Python, Bash, or Go for cloud automation and tooling development is required.
Experience deploying and managing production Google Kubernetes Engine (GKE) clusters and Docker containers is required.
A Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field, or equivalent practical experience, is required.
Google Professional Cloud Architect or Google Professional Cloud DevOps Engineer certification is required (or must be obtained within 6 months).