Azure DevOps (MLOps) Engineer - Lead

NorthBay Solutions; United States; Remote; USD 100,000 - 150,000; Full time

Job summary

NorthBay Solutions is seeking a Lead Azure DevOps Engineer (MLOps) to join their cloud and AI engineering team. This remote full-time role focuses on designing CI/CD pipelines, managing infrastructure, and implementing MLOps best practices.

Qualifications

• 3–7 years of experience in DevOps and/or MLOps roles.
• Proficient in Jenkins, GitHub Actions, Azure DevOps.
• Strong expertise in Terraform and cloud-native infrastructure.

Responsibilities

• Design and manage CI/CD pipelines using Jenkins or Azure DevOps.
• Develop Infrastructure-as-Code with Terraform.
• Collaborate with data science teams to support ML model deployment.

Skills

DevOps

MLOps

CI/CD tools

Terraform

Kubernetes

Docker

Cloud networking

Security

Monitoring

Scripting (Bash)

Scripting (Python)

Job description

Job Title:Azure DevOps Engineer (MLOps) - Lead
Location:Remote
Employment Type:Full-time

About the Role:

NorthBay is a leading AWS Premier Partner, is seeking a highly skilledLeadDevOps / MLOps Engineer (Azure, Terraform)to join their growing cloud and AI engineering team. This role is ideal for candidates with a strong foundation in cloud DevOps practices and a passion for implementing MLOps solutions at scale.

Key Responsibilities:

• Design, implement, and manageCI/CD pipelinesusing tools such as Jenkins, GitHub Actions, or Azure DevOps

• Develop and maintainInfrastructure-as-CodeusingTerraform

• Managecontainer orchestrationenvironments usingKubernetes

• Ensure cloud infrastructure is optimized, secure, and monitored effectively

• Collaborate with data science teams to supportML model deploymentand operationalization

• ImplementMLOps best practices, including model versioning, deployment strategies (e.g., blue-green), monitoring (data drift, concept drift), andexperiment tracking(e.g., MLflow)

• Build and maintainautomated ML pipelinesto streamline model lifecycle management

Required Skills:

• 3–7 years of experience inDevOps and/or MLOpsroles

• Proficient inCI/CD tools: Jenkins, GitHub Actions, Azure DevOps

• Strong expertise inTerraformand cloud-native infrastructure (AWS preferred)

• Hands-on experience withKubernetes, Docker, and microservices

• Solid understanding ofcloud networking, security, and monitoring

• Scripting proficiencyin Bash and Python

Preferred Skills:

• Experience withMLflow, TFX, Kubeflow, or SageMaker Pipelines

• Knowledge ofmodel performance monitoringand ML system reliability

• Familiarity withAWS MLOps stackor equivalent tools on Azure/GCP