Data Management - Cloud Engineer - Sr

Spectraforce Technologies, Inc.; Richmond (VA); Remote; USD 83,000 - 152,000; Full time

Job summary

Spectraforce Technologies, Inc. is seeking a Data Management - Cloud Engineer - Sr for a remote engagement of roughly five months.

You will help design and operate distributed cloud platforms across Google Cloud and Microsoft Azure, focusing on scalable data workflows and resilient microservices using Temporal. Key tasks include building infrastructure as code with Terraform, deploying containerized services with Docker and Kubernetes, and implementing CI/CD pipelines to ensure smooth

Qualifications

• 5+ years designing and deploying cloud infra across GCP and Azure.
• Strong backend development in Python or Go for distributed systems.
• Hands-on Terraform for multi-environment provisioning and automation.
• Experience with Temporal for building resilient distributed apps.
• Familiar with Docker, Kubernetes, and CI/CD 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

Job description

Title : Data Management - Cloud Engineer - Sr

Location : Remote

Duration : ~ 5 months

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.

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.

Preferred Qualifications:

• Experience with cloud networking, cross-cloud interconnectivity, and IAM security best practices.
• Background in event-driven architectures, message queues (e.g., Pub/Sub, Kafka).