DevOps Engineer
Job in
New York, New York County, New York, 10261, USA
Listed on 2026-10-15
Listing for:
Calance
Full Time
position Listed on 2026-10-15
Job specializations:
-
IT/Tech
Cloud Computing: Infrastructure & Operations, Azure, SRE/Site Reliability, Systems Engineer
Job Description & How to Apply Below
Job Title: AI Dev Ops Engineer (Hybrid, 10–12 days onsite per month)
Location: New York, NY
Pay Range: $160,000–$175,000 annually
About the RoleOur client, a leading global law firm, is hiring an AI Dev Ops Engineer to join its Technology & Information Services team. You'll design, build, and manage automated Azure Dev Ops CI/CD pipelines and supporting infrastructure for AI, ML, and agentic AI applications across development, testing, staging, and production environments. This is a hybrid role based in New York, with 10–12 days per month onsite.
WhatYou'll Do
- Own the full deployment lifecycle: build automation, testing, security validation, containerization, artifact management, release promotion, deployment verification, and rollback
- Develop and maintain Azure Dev Ops YAML pipelines and reusable pipeline components that follow firm engineering standards
- Partner with AI Software Engineers, ML Engineers, and other development teams to understand application architecture, dependencies, and hosting needs
- Work with internal infrastructure teams to define requirements and support provisioning and configuration of AI/ML environments
- Support deployments across Microsoft Azure and on‑premises VMs and VDI environments
- Safeguard highly sensitive, confidential, and privileged information
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field
- 5+ years in Dev Ops, cloud engineering, platform/infrastructure engineering, or application deployment
- 3+ years of hands‑on experience designing, building, and maintaining CI/CD pipelines in Azure Dev Ops
- Deep Azure Dev Ops expertise: YAML pipelines, build and release automation, service connections, environments, approvals, artifacts, variables, and access controls
- Strong grasp of CI/CD, automated deployment strategies, release management, Dev Sec Ops , configuration management, and change control
- Experience deploying and supporting containerized AI/ML, Generative AI, or data‑intensive applications across Azure and on‑prem environments
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