Title: Google Cloud Platform Cloud Engineer/Architect
Location: Remote
Position Overview
The Google Cloud Platform Cloud Engineer supports federal cloud modernization initiatives by designing, implementing, and optimizing secure, scalable Google Cloud Platform (Google Cloud Platform) environments. This role focuses on professional services delivery, cloud architecture, and hands-on engineering rather than operations and maintenance. The engineer collaborates with application, data, cybersecurity, and DevSecOps teams to enable modern, resilient cloud solutions.
Required Qualifications
4-6+ years of hands-on cloud engineering experience
Strong experience with Google Cloud Platform (Google Cloud Platform)
Kubernetes/GKE deployment and operations experience
Cloud networking expertise (VPC, subnets, routing, firewall rules, load balancing)
Experience with IAM, service accounts, and organization policies
Proficiency with Terraform and Infrastructure-as-Code practices
Familiarity with Linux, containers, YAML, and CI/CD pipelines
Strong communication and customer-facing skills
Ability to work independently and manage ambiguity
Preferred Qualifications
Google Cloud Platform Professional Architect or Security Engineer certification
Experience with BigQuery, Dataflow, Firestore, or Vertex AI
Experience with Crossplane, Ansible, or similar automation frameworks
Exposure to Splunk, Cribl, Databricks, or similar analytics platforms
Knowledge of FedRAMP, NIST 800-53, or federal cloud environments
Java application deployment or modernization experience
Veteran status strongly encouraged
Core Responsibilities
Design, implement, and maintain Google Cloud Platform infrastructure supporting modernization initiatives
Architect and deploy Kubernetes (GKE) clusters and supporting services
Lead migrations from on-premises environments to cloud-native architectures
Design and implement cloud networking solutions including VPCs, routing, firewalls, and VPN/interconnects
Develop Infrastructure-as-Code using Terraform and Kubernetes-native tooling
Implement CI/CD and GitOps workflows using GitHub or GitLab with ArgoCD/Argo Workflows
Support data and application platforms including BigQuery, Dataflow, Cloud Run, Firestore, and Pub/Sub
Provide architecture guidance, documentation, and best-practice recommendations
Collaborate with security teams to ensure compliance with federal and enterprise standards
Position Characteristics
Professional services and modernization focused
Customer-facing engineering role
Opportunity to grow into a multi-cloud or multi-OEM subject matter expert
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.
- Dice Id: RTL73977
- Position Id: b5acefd24f2e2b7e2acafb15a40788e6
- Posted 8 hours ago
