Top Artificial Intelligence DevOps & Platform Engineering Jobs in New York City, NY

Build and maintain multi-cloud infrastructure standards, self-service tooling, and paved-road defaults across AWS and GCP. Partner with compute, security, and networking teams to embed guardrails, drive standardization, lead cross-team initiatives, and resolve systemic operational issues to ensure secure, scalable, and reliable platform infrastructure.

Design, build, and operate Kubernetes-based ephemeral environments and cloud infrastructure on AWS. Build automation, IaC, CI/CD, and developer self-service tooling. Improve observability, reliability, and incident response while partnering with product, security, and reliability teams to enhance developer workflows and platform scalability.

Define and evolve ArcGIS Enterprise reference architecture on Kubernetes (AWS EKS). Ensure scalability, reliability, security, HA/DR, and cost efficiency. Provide architectural guidance, governance, and best practices; partner with DevOps, platform, and application teams to enable production-ready GIS and analytics applications.

The Principal DevOps Engineer will lead the design and operation of CI/CD pipelines, platform reliability, and compliance for software deployment, while influencing DevOps practices and simplifying operational management across teams.

Technical leader responsible for cloud platform architecture, IaC, CI/CD, self-service developer tooling, reliability, observability, and cost optimization. Mentor engineers, drive automation, lead initiatives from design to production, and collaborate with Security and Operations on secure scalable solutions and incident response.

As a Senior Infrastructure Engineer, you'll build scalable systems for a next-generation search platform, ensuring data integrity and user experience while collaborating with cross-functional teams.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

Lead a CI/CD/IDP engineering team to improve release velocity, security, and compliance. Own Secure SDLC, software supply chain controls, GitOps-driven pipelines, developer self-service, pipeline performance/FinOps, and alignment with audits (FedRAMP/SOC 2). Mentor engineers, set roadmap, and deliver audit-ready release processes at scale.

Lead development of AI-assisted reliability tooling, own incident response end-to-end, improve observability and SLO/SLI frameworks, scale single-tenant SaaS operations, mentor engineers, and reduce recurring operational toil through engineering and automation.

As a Manager of Cloud Software Engineering at Coupa, you will lead AI platform DevOps, manage global teams, and oversee agile delivery while ensuring technical quality and innovation.