Overview
Remote
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Skills
Azure
Google Cloud Platform
GCP
AWS
Terraform
Terragrunt
OpenTofu
Pulumi
Crossplane
Terraform Cloud
Spacelift
GitHub Actions
GitLab CI/CD
Jenkins
Argo CD
Helm
Kustomize
SonarQube
LaunchDarkly
Backstage
Python
PowerShell
Bash
YAML
Groovy
Checkov
tfsec
Azure Policy
OPA
Open Policy Agent
Rego
Gatekeeper
Kyverno
Vault
Azure Key Vault
OIDC
Workload Identity Federation
Policy as Code
VPC
VNet
Subnet Peering
Private Endpoints
Load Balancers
NAT Gateway
Kubernetes
Docker
KEDA
Container Security
Prometheus
Grafana
OpenTelemetry
OTel Gateway
OTel Router
CloudWatch
Stackdriver
Datadog
Drift Detection
IaC Monitoring
PostgreSQL
Kafka
Redis
MongoDB
Cloud SQL
BigQuery
GitHub
GitLab
Bitbucket
JIRA
Confluence
Slack
Microsoft Teams
Ansible
VMware
Exadata
Multi-cloud
DevOps
CI/CD
Infrastructure as Code
Cloud Automation
Cloud Security
Observability
Governance
FinOps
Job Details
Title: Platform DevOps Engineer (Azure & Google Cloud Platform)
Location: Remote   Must be based in Wisconsin, Michigan, Illinois, Indiana, Ohio, or Kentucky
Client Location: Grand Rapids, MI
Experience Level: 14+ years Duration: Contract
Job Description:
We re seeking a highly experienced Platform DevOps Engineer with deep expertise across Azure and Google Cloud (Google Cloud Platform). The ideal candidate will partner with architecture and engineering teams to define, automate, and evolve a multi-cloud platform that drives scalability, resilience, and developer productivity.
Core Responsibilities:
- Partner with architecture and DevOps teams on multi-cloud strategies (Azure & Google Cloud Platform) enhancing resiliency and availability.
 - Build developer self-service golden path automation for repositories, CI/CD pipelines, and containers.
 - Champion non-functional requirements (security, reliability, scalability, maintainability) across cloud solutions.
 - Mentor engineers on Infrastructure-as-Code (IaC) standards and best practices.
 - Troubleshoot complex, multi-team challenges using data-driven root-cause analysis
 
Must-Have Skills:
- 14+ years in IT, with extensive DevOps and Cloud Infrastructure experience.
 - Proven expertise designing reusable Terraform modules for both Azure and Google Cloud Platform (including PaaS).
 - Strong understanding of multi-cloud networking (VPC, VNets, peering, private endpoints) automated via Terraform.
 - Experienced managing Terraform state securely and implementing IaC testing (Terratest, Tftest).
 - Proficient in scripting languages: PowerShell, Python, Bash.
 - Hands-on with GitHub Actions for CI/CD.
 - Cloud cost governance via tagging, budgets, and IaC policies.
 - Embedded security controls using Checkov, tfsec, or similar scanning tools.
 - Published and maintained Terraform modules in private registries.
 - Strong background designing HA/DR patterns via IaC.
 - Kubernetes GitOps expertise using Argo CD, Helm, and Kustomize.
 - Knowledge of identity & secrets management (OIDC, Azure Key Vault, workload identity federation).
 - Policy as Code experience (Azure Policy, OPA Rego, Gatekeeper, Kyverno).
 - Familiarity with IaC observability and drift detection (Terraform Cloud, Spacelift, or custom solutions).
 
Nice-to-Have Skills:
- Terragrunt for complex Terraform orchestration.
 - Experience with OpenTofu and migration from Terraform.
 - Observability setup with OpenTelemetry (OTel Gateway/Router Collectors).
 - Exposure to Kafka, GraphQL, Temporal, LaunchDarkly, SonarQube, or mobile app platforms (iOS/Android).
 - Familiarity with Internal Developer Portals (e.g., Backstage).
 - Experience with Pulumi or Crossplane.
 - Strong grasp of software development lifecycle (SDLC) and Agile practices.
 
Soft Skills & Culture:
- Curious, analytical, and proactive driven by understanding the why behind challenges.
 - Self-starter with the ability to operate in ambiguous, multi-team environments.
 - Strong communication and collaboration skills able to influence without authority.
 
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.