AI DevOps Engineer – Hybrid, Azure CI/CD Pipelines

Calance, Inc.; New York (NY); Hybrid; USD 160,000 - 175,000; Full time

Job summary

Calance, Inc. is seeking an AI Dev OPS Engineer to design, implement, and manage automated deployment pipelines for AI/ML applications. The role supports Azure DevOps CI/CD across development, testing, staging, and production, with opportunities for hybrid work and in-office presence in SF, LA, or NYC.

The candidate will own deployment lifecycles, build reusable pipelines, and collaborate with AI/ML teams. Requires 5+ years in DevOps roles and 3+ years in Azure DevOps.

Qualifications

• Bachelor's degree in computer science, information systems, engineering or related field.
• 5+ years of industry experience in DevOps, cloud engineering, platform and infrastructure engineering, or application deployment.
• 3+ years hands-on experience designing, building, and maintaining CI/CD pipelines using Azure DevOps.
• Experience deploying and supporting containerized AI/ML, Generative AI, or data-intensive applications across Microsoft Azure and on-premises environments.

Responsibilities

• Own the application deployment lifecycle, including build automation, testing, security validation, containerization, artifact management, release promotion, deployment verification, and rollback procedures.
• Develop and maintain Azure DevOps YAML pipelines and reusable pipeline components.
• Collaborate with AI Software Engineers and ML Engineers to understand architecture, dependencies, hosting requirements, and operational considerations.
• Work with internal infrastructure teams to define infrastructure requirements and support provisioning for AI/ML apps.
• Support deployments across Microsoft Azure and on-premises environments.
• Protect sensitive information retained by the firm.

Skills

CI/CD proficiency

DevSecOps practices

Automation

IaC

Collaboration

Education

Bachelor's degree in CS/IS/Engineering

Tools

Azure DevOps

YAML pipelines

Azure cloud

Job description

Calance, Inc. is seeking an AI Dev OPS Engineer to design, implement, and manage automated deployment pipelines for AI/ML applications. The role supports Azure DevOps CI/CD across development, testing, staging, and production, with opportunities for hybrid work and in-office presence in SF, LA, or NYC.

The candidate will own deployment lifecycles, build reusable pipelines, and collaborate with AI/ML teams. Requires 5+ years in DevOps roles and 3+ years in Azure DevOps.