Senior GCP Platform Engineer – DevOps & Cloud Infrastructure | Hybrid | Contract

Senior GCP Platform Engineer – DevOps & Cloud Infrastructure | Hybrid | Contract

Walker Healthforce is seeking a Senior GCP Platform Engineer – DevOps & Cloud Infrastructure with advanced Google Cloud Platform, Terraform, Infrastructure as Code, and DevOps engineering experience to design, automate, and manage enterprise-scale cloud infrastructure. This role focuses on building secure, scalable GCP environments, developing CI/CD pipelines, managing cloud-native services, and supporting data and AI/ML platforms. The ideal candidate will bring strong hands-on GCP engineering expertise, cloud infrastructure automation capabilities, and experience delivering reliable enterprise cloud solutions. This is a Contract opportunity.

Start Date: January 2027 (anticipated)
Location: Fort Lauderdale, FL; Irving, TX; New Jersey; or New York – Hybrid, 3 days onsite per week
Hours/Schedule: Monday–Friday, 40 hours/week
Worker Type:

Core Requirements:

• 6–9 years of advanced cloud engineering, DevOps, or related technical experience.

• Strong hands-on experience designing, deploying, and managing enterprise Google Cloud Platform infrastructure.

• Extensive experience developing reusable Terraform modules and implementing Infrastructure as Code best practices.

• Experience building complete GCP environments from scratch using Terraform and automation frameworks.

• Strong knowledge of Cloud Run, BigQuery, Cloud Storage, Firestore, IAM, Secret Manager, and Load Balancing.

• Experience with GCP-native data services, including BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Cloud Composer.

• Experience developing CI/CD pipelines using Cloud Build, GitHub Actions, or comparable tools.

• Strong understanding of GCP networking, including VPCs, subnets, firewall rules, private connectivity, DNS, and SSL certificates.

• Experience managing GCP IAM, service accounts, and cloud security controls.

• Experience with container platforms, including GKE and Cloud Run.

• Experience implementing monitoring, alerting, logging, and observability using Google Cloud Monitoring.

• Experience building APIs and data connectors using Python, Cloud Functions, and Cloud Run.

• Experience supporting enterprise data platforms and AI/ML workloads.

• Experience supporting infrastructure for Vertex AI Agent Engine, Vertex AI Search, and Model Armor.

• Strong understanding of cloud reliability, scalability, high availability, and disaster recovery.

• Experience troubleshooting production incidents and conducting root-cause analysis.

• Knowledge of cloud security, compliance, governance, and infrastructure deployment standards.

• Strong communication, documentation, and cross-functional collaboration skills.

We Consider It A Bonus If You Also Have:

Job Responsibilities:

• Design, develop, and maintain reusable Terraform modules for enterprise GCP infrastructure.

• Implement Infrastructure as Code best practices across development, testing, staging, and production environments.

• Provision and automate complete GCP cloud environments.

• Design, deploy, and manage cloud-native solutions using Google Cloud Platform services.

• Configure and maintain Cloud Run, BigQuery, Cloud Storage, Firestore, IAM, Secret Manager, and Load Balancing.

• Develop and maintain CI/CD pipelines for infrastructure and application deployments.

• Support GCP-native data platforms, including BigQuery, Dataflow, Pub/Sub, and Cloud Composer.

• Implement infrastructure versioning, automated code reviews, governance controls, and deployment strategies.

• Manage GCP networking, including VPCs, subnets, firewall rules, private connectivity, DNS, and SSL certificates.

• Configure IAM, service accounts, and security controls.

• Manage containerized infrastructure using GKE and Cloud Run.

• Implement monitoring, logging, alerting, and observability solutions.

• Build Python-based APIs and data connectors using Cloud Functions and Cloud Run.

• Ensure cloud infrastructure reliability, scalability, high availability, and disaster recovery readiness.

• Troubleshoot production issues and perform root-cause analysis.

• Develop operational runbooks, architecture documentation, and support procedures.

• Collaborate with Data Engineering and AI/ML teams to deliver secure and scalable data platforms.

• Support infrastructure for Vertex AI Agent Engine, Vertex AI Search, Model Armor, and AI-driven workloads.

• Implement cloud security, compliance, and governance standards.

What We Offer:

• Competitive compensation package

• Weekly pay via Direct Deposit

• Medical, Dental & Vision available

• 401k options

Why Work With Walker?

• Access to our top ranked team of recruiting and placement specialists

• Continuous, one-on-one support from a dedicated engagement manager

• Professional resume development and interview preparation

Contact our Recruiting Team today to experience the Walker Healthforce difference!

About Us:

Walker Healthforce is known as the dominant force of performance, precision, expertise, and integrity in the healthcare consulting community! As a certified WMBE, we provide end-to-end healthcare IT and clinical solutions to hospitals, health systems, and payer organizations, including Fortune 100 firms nationwide. We are healthcare experts, we're custom not commodity and we've been exceeding expectations for nearly 20 years. Join forces with us to experience unparalleled results today!

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment.