Senior Azure Platform Engineer — Flexible 80h

Scrums.com, Inc.; United States; Remote; USD 83,000 - 165,000; Part time

Job summary

Scrums.com, Inc. seeks a Senior Azure DevOps / Platform Engineer to own the cloud platform powering high-scale systems. This flexible 80-hour-per-period contract lets you shape provisioning, security, and observability with autonomy.

You’ll work across Azure, Kubernetes-adjacent tooling, data infrastructure, and AI/GPU workloads while crafting repeatable, isolated customer environments at scale.

Qualifications

• Proven senior-level Azure in production
• Terraform and/or Bicep for IaC
• CI/CD with Azure DevOps and/or GitHub Actions
• Automate repeatable, isolated customer environments
• Azure identity, RBAC, Key Vault skills
• Private networking (VNets, endpoints)
• Monitoring, logging, distributed tracing
• Backup/DR planning and security hardening
• Cost management at scale

Responsibilities

• Design, build, and maintain IaC with Terraform/Bicep across Azure environments
• Manage CI/CD pipelines with Azure DevOps and/or GitHub Actions
• Automate environment provisioning and container deployment for isolated customer environments
• Configure Azure identity, RBAC, and Key Vault secrets management
• Implement private networking architectures (VNets, endpoints)
• Set up monitoring, logging, and tracing across environments
• Own backup and DR processes and security hardening
• Monitor cloud costs and identify optimization opportunities
• Deploy and operate MongoDB/Atlas and Kafka infrastructure
• Support AI/model-serving infra, including GPU provisioning

Skills

Azure

Terraform

Bicep

Azure DevOps

GitHub Actions

RBAC

Key Vault

VNet

Private Endpoints

Monitoring/Tracing

Cost optimization

GPU compute

Tools

MongoDB Atlas

Kafka

Kubernetes tooling

Job description

Scrums.com, Inc. seeks a Senior Azure DevOps / Platform Engineer to own the cloud platform powering high-scale systems. This flexible 80-hour-per-period contract lets you shape provisioning, security, and observability with autonomy.

You’ll work across Azure, Kubernetes-adjacent tooling, data infrastructure, and AI/GPU workloads while crafting repeatable, isolated customer environments at scale.