Negotiable
Outside
Remote
USA
Summary: The Google Cloud Platform DevOps Engineer role is a 100% remote position focused on designing and managing Google Cloud infrastructure, particularly in the Cloud and Conversational AI industry. The engineer will be responsible for building CI/CD pipelines, automating deployments, and implementing monitoring and logging solutions. Candidates must provide professional references and their manager's LinkedIn URL for verification. The position is available on a two-year contract basis, requiring work on the client's W2 only.
Key Responsibilities:
- Design and manage Google Cloud Platform infrastructure using Terraform (IaC).
- Build and maintain CI/CD pipelines for microservices and conversational AI workloads.
- Automate deployments using Cloud Build, Jenkins, or GitHub Actions.
- Implement monitoring and logging with Stackdriver, Prometheus, or Grafana.
- Optimize performance, scalability, and cost across GKE, Cloud Run, Compute Engine, Pub/Sub, etc.
- Strengthen security and compliance using IAM, service accounts, and network controls.
- Collaborate with development teams to integrate APIs, containers, and serverless components.
- Troubleshoot production issues and support disaster recovery strategies.
Key Skills:
- Google Cloud Platform: GKE, Cloud Run, Compute Engine, Pub/Sub, Cloud Functions, VPC
- Infrastructure as Code: Terraform
- CI/CD Tools: Cloud Build, Jenkins, GitHub Actions
- Containers: Docker, Kubernetes
- Scripting: Python or Bash
- Monitoring: Stackdriver, Prometheus, Grafana
- Security: IAM, secrets management, DevSecOps exposure
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
- Candidates must provide two professional references from their current role.
- Each reference should include the manager's LinkedIn URL for verification.
-
Design and manage Google Cloud Platform infrastructure using Terraform (IaC).
-
Build and maintain CI/CD pipelines for microservices and conversational AI workloads.
-
Automate deployments using Cloud Build, Jenkins, or GitHub Actions.
-
Implement monitoring and logging with Stackdriver, Prometheus, or Grafana.
-
Optimize performance, scalability, and cost across GKE, Cloud Run, Compute Engine, Pub/Sub, etc.
-
Strengthen security and compliance using IAM, service accounts, and network controls.
-
Collaborate with development teams to integrate APIs, containers, and serverless components.
-
Troubleshoot production issues and support disaster recovery strategies.
-
Google Cloud Platform: GKE, Cloud Run, Compute Engine, Pub/Sub, Cloud Functions, VPC
-
Infrastructure as Code: Terraform
-
CI/CD Tools: Cloud Build, Jenkins, GitHub Actions
-
Containers: Docker, Kubernetes
-
Scripting: Python or Bash
-
Monitoring: Stackdriver, Prometheus, Grafana
-
Security: IAM, secrets management, DevSecOps exposure