GCP and Azure Cloud Engineer

Unisys; Virginia; On-site; USD 150,000 - 210,000; Full time

Job summary

Unisys in Virginia is seeking a Senior Cloud Engineer to lead cross‑cloud orchestration across GCP and Azure. You will design, implement, and scale resilient workloads using Terraform and Temporal, with Go or Python for backend automation and orchestration.

The role focuses on multi‑environment deployments, CI/CD pipelines, and container orchestration with Docker and Kubernetes, delivering reliable, scalable cloud infrastructure in a fast‑paced environment.

Qualifications

• 5+ years of hands-on experience designing, deploying, and managing infrastructure and services across Google Cloud Platform (GCP) and Microsoft Azure.
• Strong proficiency and production experience in Python or Go for backend development, automation, and distributed systems tooling.
• Practical experience using Terraform for multi-environment provisioning, state management, and infrastructure automation.
• Hands-on experience developing, orchestrating, and scaling complex, failure-resilient distributed applications using Temporal.
• Familiarity with modern containerization and orchestration tooling (Docker, Kubernetes) and CI/CD automation pipelines.

Responsibilities

• Collaborate with cross-functional teams to understand requirements and provide technical guidance across distributed cloud environments.
• Troubleshoot, maintain, and resolve complex issues related to cloud infrastructure and workflow orchestrations.
• Optimize data storage, compute, and processing workloads using cloud-native services across GCP and Azure.
• Design, build, and maintain resilient asynchronous workflows and distributed microservices using Temporal.
• Implement and manage infrastructure as code (IaC) modular frameworks using Terraform to ensure reliable, multi-cloud deployments.
• Monitor, tune, and improve application performance, service reliability, and data flow efficiency.

Skills

GCP

Azure

Python

Go

Terraform

Temporal

Docker

Kubernetes

CI/CD

Tools

Docker

Kubernetes

Job description

Must have:

GCP and Azure

GO/Python, Terraform

Must have overall 15 years of experience

Looking GCP and Azure automation they are using GO, Python, terraform for temporary orchestration.

They are looking for someone which strong GCP experience

Any Programming language is fine.

Job Description:

Collaborate with cross-functional teams to understand requirements and provide technical guidance across distributed cloud environments.

Troubleshoot, maintain, and resolve complex issues related to cloud infrastructure and workflow orchestrations.

Optimize data storage, compute, and processing workloads using cloud-native services across GCP and Azure.

Design, build, and maintain resilient asynchronous workflows and distributed microservices using Temporal.

Implement and manage infrastructure as code (IaC) modular frameworks using Terraform to ensure reliable, multi-cloud deployments.

Monitor, tune, and improve application performance, service reliability, and data flow efficiency.

Required Qualifications:

Minimum 5+ years of hands‑on experience designing, deploying, and managing infrastructure and services across Google Cloud Platform (GCP) and Microsoft Azure.

Strong proficiency and production experience in Python or Go for backend development, automation, and distributed systems tooling.

Practical experience using Terraform for multi-environment provisioning, state management, and infrastructure automation.

Hands‑on experience developing, orchestrating, and scaling complex, failure‑resilient distributed applications using Temporal.

Familiarity with modern containerization and orchestration tooling (Docker, Kubernetes) and CI/CD automation pipelines.