AI DevOps Engineer

Private Tech Inc.

United States

7 days ago

Role details

Contract type

Contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Compensation

$83,200.0 - $145,600.0

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

Artificial Intelligence Application Performance Management Microsoft Azure Bash Shell Cloud Computing Cloud Computing Security Cloud Engineering Continuous Integration DevOps Github Identity and Access Management Python (Programming Language)

+22 more

Key Management Log Analysis Machine Learning Windows PowerShell Reliability Engineering Azure Machine Learning Software Deployment Software Engineering Azure Data Factory Cloud Monitoring Large Language Models Software Troubleshooting Generative AI Git Bicep Azure AKS Machine Learning Operations Cloud Migration Terraform Software Version Control Docker Databricks

Job description

Bitcot is seeking an experienced AI DevOps Engineer with strong Microsoft Azure expertise to support an AI and cloud transformation initiative for a healthcare enterprise in the United States.

This role focuses on Azure cloud infrastructure, CI/CD, AI/ML platforms, MLOps, automation, monitoring, and cloud security. The selected candidate will work with cloud, AI, data, and software engineering teams to deploy and support enterprise AI applications.

Responsibilities:

Design, build, and maintain CI/CD pipelines for AI, ML, and cloud applications.
Deploy and manage AI workloads using Microsoft Azure.
Implement Infrastructure as Code using Terraform, Bicep, or ARM Templates.
Build and manage containerized applications using Docker and Azure Kubernetes Service (AKS).
Support MLOps pipelines for model deployment, monitoring, and lifecycle management.
Automate cloud infrastructure provisioning and application deployments.
Monitor applications and cloud resources using Azure Monitor, Log Analytics, and Application Insights.
Support cloud security, identity management, secrets management, and governance.
Troubleshoot production issues and support root cause analysis.
Collaborate with AI, data, cloud, and software engineering teams.

Requirements

5+ years of experience in DevOps, Cloud Engineering, Platform Engineering, or Site Reliability Engineering.
Strong hands-on experience with Microsoft Azure.
Experience with Azure DevOps and/or GitHub Actions.
Experience with Terraform, Bicep, or ARM Templates.
Experience with Git and modern version control practices.
Proficiency in Python, PowerShell, or Bash.
Experience with cloud monitoring and observability.
Strong understanding of networking, cloud security, and identity management.
Experience supporting AI/ML, data, or Generative AI platforms.
Strong troubleshooting and communication skills.

Preferred Qualifications:

Experience with Azure AI Services or Azure OpenAI.
Experience with MLOps and AI model lifecycle management.
Experience with Generative AI, LLMs, LangChain, or Semantic Kernel.
Experience with MLflow or model registries.
Experience with Azure Data Factory or Databricks.
Microsoft Azure certification.
Experience working in healthcare or other regulated industries.

Work Authorization:

Candidates must be authorized to work in the United States., * How many years of professional experience do you have in DevOps, Cloud Engineering, Platform Engineering, or SRE?

Do you have strong hands-on experience with Microsoft Azure?
Do you have experience building CI/CD pipelines using Azure DevOps or GitHub Actions?
Do you have hands-on experience with Terraform, Bicep, or ARM Templates?
Do you have experience with Docker and Azure Kubernetes Service (AKS), along with AI/ML or MLOps workloads?
Are you authorized to work in the United States and comfortable working as a 1099 Independent Contractor?