AI DevOps Engineer — Hybrid (Azure & On-Prem)

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

Job summary

Calance in New York, NY, is seeking an AI DevOps Engineer for a hybrid role with 10–12 onsite days per month. You will design, build, and manage Azure DevOps CI/CD pipelines and supporting infra for AI/ML applications across development, testing, staging, and production environments.

You will collaborate with AI/ML engineers and internal teams to support Azure and on‑prem deployments, ensure security, and manage containerized workloads. A Bachelor's degree and 5+ years in DevOps are required.

Qualifications

• Bachelor's degree in CS, IS, engineering, or related field.
• 5+ years in DevOps, cloud or infrastructure engineering.
• 3+ years building CI/CD pipelines in Azure DevOps.
• Deep Azure DevOps expertise: YAML pipelines, releases, environments, access controls.
• Experience deploying containerized AI/ML apps across Azure/on‑prem

Responsibilities

• Own the full deployment lifecycle: build automation, testing, security validation, containerization, artifact management, release promotion, deployment verification, rollback.
• Develop and maintain Azure DevOps YAML pipelines and reusable components following firm standards.
• Partner with AI/ML engineers to understand architecture, dependencies, hosting needs.
• Collaborate with infrastructure teams to support provisioning and configuration of AI/ML environments.
• Support deployments across Microsoft Azure and on‑premises VMs and VDI environments.
• Safeguard highly sensitive and privileged information.

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field

Tools

Azure DevOps

YAML pipelines

Azure

Job description

Calance in New York, NY, is seeking an AI DevOps Engineer for a hybrid role with 10–12 onsite days per month. You will design, build, and manage Azure DevOps CI/CD pipelines and supporting infra for AI/ML applications across development, testing, staging, and production environments.

You will collaborate with AI/ML engineers and internal teams to support Azure and on‑prem deployments, ensure security, and manage containerized workloads. A Bachelor's degree and 5+ years in DevOps are required.