Senior Azure DevOps Engineer

Scrums.com; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Flexible 80-hour commitment

Platform ownership across Azure and AI

Job summary

Scrums.com seeks a Senior Azure Platform Engineer to own a production cloud platform, building secure, observable infrastructure and automating isolated customer environments. The role centers on Azure, Terraform/Bicep, and cost-conscious operations with an 80-hour flexible commitment.

You will manage pipelines (Azure DevOps, GitHub Actions), implement robust security and identity controls, and optimize deployments for AI-related workloads, GPU infra, and data services like MongoDB/Atlas and

Qualifications

• Senior-level experience operating Microsoft Azure in production.
• Hands-on infrastructure-as-code experience with Terraform and/or Bicep.
• Practical experience with Azure DevOps and/or GitHub Actions.
• Demonstrated ability to automate repeatable, isolated customer environments.
• Knowledge of Azure identity and RBAC, Key Vault, VNets, and private endpoints.
• Experience with observability, disaster recovery, production security, cloud cost management, and MongoDB/Atlas and Kafka operations.

Responsibilities

• Build and maintain Azure infrastructure using Terraform and/or Bicep.
• Manage delivery pipelines with Azure DevOps and/or GitHub Actions.
• Automate repeatable environment provisioning and container deployments for customers.
• Configure identity, access controls, secrets, private networking, and endpoints.
• Implement monitoring, logging, and distributed tracing; maintain backup and recovery practices.
• Operate MongoDB/Atlas and Kafka, improve cloud cost efficiency, and support model-serving or GPU infrastructure where needed.

Skills

Azure in production

Infrastructure as Code

Automation

Observability

Cloud cost management

Tools

Terraform

Bicep

Azure DevOps

GitHub Actions

MongoDB Atlas

Kafka

Job description

Role overview

Take technical ownership of a production cloud platform supporting high-scale services and AI-related workloads. The role centers on building secure, observable infrastructure and automating the creation of isolated customer environments, with a flexible commitment of 80 hours.

Responsibilities

• Build and maintain Azure infrastructure using Terraform and/or Bicep.
• Manage delivery pipelines with Azure DevOps and/or GitHub Actions.
• Automate repeatable environment provisioning and container deployments for customers.
• Configure identity, access controls, secrets, private networking, and endpoints.
• Implement monitoring, logging, and distributed tracing; maintain backup and recovery practices.
• Operate MongoDB/Atlas and Kafka, improve cloud cost efficiency, and support model-serving or GPU infrastructure where needed.

Requirements

• Senior-level experience operating Microsoft Azure in production.
• Hands-on infrastructure-as-code experience with Terraform and/or Bicep.
• Practical experience with Azure DevOps and/or GitHub Actions.
• Demonstrated ability to automate repeatable, isolated customer environments.
• Knowledge of Azure identity and RBAC, Key Vault, VNets, and private endpoints.
• Experience with observability, disaster recovery, production security, cloud cost management, and MongoDB/Atlas and Kafka operations.

Nice to have

• Exposure to AI model-serving infrastructure or GPU compute.

Benefits and work setup

• Flexible 80-hour commitment designed to fit alongside other work.
• Hands-on platform ownership across Azure, container tooling, and data infrastructure.