Senior DevOps & AI Platform Engineer (GCP) - REMOTE
Company: Cognizant
Location: Tempe, AZ (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-11-10
About this role
Job Summary
Cognizant is seeking a
Senior DevOps & AI Platform Engineer (GCP)
to support
Couche Tard Inc.
This role is responsible for building and operating a secure, scalable, and automated Google Cloud Platform ecosystem that enables the rapid deployment of AI and Generative AI solutions into production environments.
The ideal candidate brings deep expertise in Google Cloud Platform (GCP), Terraform, Kubernetes, CI/CD automation, and cloud operations, along with experience supporting AI, MLOps, or LLMOps platforms. This individual will work closely with Cloud Architects, AI Engineers, Application Development teams, and Security teams to drive platform reliability, scalability, and operational excellence.
Work Model
Remote - United States
This position is fully remote and open to qualified candidates located within the United States.
The work model for this role may be subject to change based on project, client, or business requirements.
Responsibilities
- Build and maintain CI/CD pipelines supporting AI applications, APIs, cloud services, and model deployment workflows within Google Cloud Platform.
- Design, implement, and manage Infrastructure as Code (IaC) solutions using Terraform.
- Establish deployment pipelines and environment management processes across development, QA, staging, and production environments.
- Support the deployment and operationalization of AI and Generative AI solutions by leveraging Vertex AI and Gemini services.
- Implement monitoring, observability, logging, alerting, and operational dashboards utilizing GCP-native and industry-standard tools.
- Partner with security teams to implement IAM controls, networking security, secrets management, and governance best practices.
- Enable automated testing, release management, deployment validation, rollback procedures, and production support capabilities.
- Continuously improve platform reliability, scalability, performance, engineering productiv...