GCP Engineer - Springfield, MO

Posted Yesterday
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2 Locations
In-Office or Remote
48K-168K Annually
Mid level
Agency • Information Technology
The Role
Design, implement, and manage scalable GCP infrastructure using Compute Engine, GKE, Cloud Run, and serverless. Build IaC and CI/CD pipelines with Terraform/Deployment Manager and Cloud Build. Implement IAM, VPC, security best practices, observability (Logging/Monitoring, Prometheus/Grafana), and optimize performance, availability, and cost. Support containerized deployments and collaborate with engineering and DevOps teams.
Summary Generated by Built In

Job Summary:

We are seeking a skilled GCP Engineer to design, implement, and manage scalable cloud solutions on the Google Cloud Platform. The ideal candidate will have hands-on experience with GCP services, strong DevOps or infrastructure-as-code skills, and a solid understanding of cloud-native application deployment and management.

Key Responsibilities:

Design and implement cloud infrastructure solutions using GCP services (e.g., Compute Engine, Cloud Run, GKE, Cloud Functions).

Develop automation scripts using Terraform, Deployment Manager, or Cloud Build for infrastructure provisioning and CI/CD.

Implement and manage cloud security, IAM policies, and VPC networking.

Monitor and optimize GCP workloads for performance, availability, and cost.

Support cloud-native application deployments using containers (e.g., Docker, Kubernetes).

Collaborate with software engineers, architects, and DevOps teams to deliver scalable and reliable systems.

Set up and manage observability tools (e.g., Cloud Logging, Cloud Monitoring, Stackdriver, Prometheus/Grafana).


Required Skills and Qualifications:

3+ years of experience with Google Cloud Platform.

Proficiency in GCP core services: Compute, Networking, IAM, Storage, BigQuery, and Pub/Sub.

Strong experience in Infrastructure as Code (IaC) with Terraform or GCP Deployment Manager.


Hands-on experience with Docker and Kubernetes (GKE preferred).

Understanding of CI/CD pipelines and tools such as Jenkins, GitLab CI, Cloud Build, etc.

Strong knowledge of cloud security best practices and compliance standards.

Preferred Qualifications:

Google Cloud Professional Certification (e.g., Cloud Engineer, DevOps Engineer, or Architect).

Experience with hybrid cloud or multi-cloud deployments.

Familiarity with serverless architectures (Cloud Functions, Cloud Run).

Experience with Cloud SQL, Firestore, or other GCP-managed databases.

Familiarity with data engineering or AI/ML services on GCP is a plus.

Education:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.


Compensation, Benefits and Duration

Minimum Compensation: USD 48,000
Maximum Compensation: USD 168,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is available for independent contractors
No applications will be considered if received more than 120 days after the date of this post


Skills Required

  • 3+ years of experience with Google Cloud Platform
  • Proficiency in GCP core services: Compute, Networking, IAM, Storage, BigQuery, Pub/Sub
  • Strong experience in Infrastructure as Code with Terraform or Deployment Manager
  • Hands-on experience with Docker and Kubernetes (GKE preferred)
  • Understanding of CI/CD pipelines and tools such as Jenkins, GitLab CI, Cloud Build
  • Strong knowledge of cloud security best practices and compliance standards
  • Experience with observability tools (Cloud Logging, Cloud Monitoring, Stackdriver, Prometheus/Grafana)
  • Bachelor's or Master's degree in Computer Science, Engineering, or related technical field
  • Google Cloud Professional Certification (Cloud Engineer, DevOps Engineer, or Architect)
  • Experience with hybrid cloud or multi-cloud deployments
  • Familiarity with serverless architectures (Cloud Functions, Cloud Run)
  • Experience with Cloud SQL, Firestore, or other GCP-managed databases
  • Familiarity with data engineering or AI/ML services on GCP
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