Top Artificial Intelligence DevOps & Platform Engineering Jobs

The Senior Cloud Engineer will design and manage cloud infrastructures, support migrations, automate provisioning, and ensure cloud security while mentoring junior engineers.

Lead end-to-end deployment of Reducto into customer environments, collaborating with enterprise teams to configure and operate infrastructure solutions.

The GPU Cloud Platform Engineer designs and operates multi-cluster GPU infrastructures for AI workloads, ensuring performance and efficiency across cloud environments.

The DevOps Engineer at Modus will manage AWS infrastructure, rebuild IT systems for CPA firms, onboard new firms, and support engineering processes.

The role involves managing and evolving core infrastructure, optimizing database systems, overseeing LLM infrastructure, and improving monitoring and deployment pipelines.

Lead a team of engineers to design APIs and systems for AI agents, manage infrastructure, and handle production software quality.

Build and operate production-grade AI infrastructure using Kubernetes, ensuring high availability, reliability, and performance. Develop custom operators and implement automation for efficient operations and monitoring.

The Platform Engineer will design and optimize cloud infrastructure on AWS, develop shared libraries, improve observability, and mentor other engineers.

The role involves designing scalable infrastructure, leading technical initiatives, collaborating with research, and enhancing AI reliability tools. A focus on backend systems and modern cloud technology is essential.

Build and own CodeRabbit's multi-region platform: design compute, orchestration, and infrastructure from the ground up. Architect and run Kubernetes control plane, operators, and large-scale distributed systems on GCP. Implement IaC (Terraform), container/runtime optimization, observability, and platform tooling (Node.js/TypeScript or Go). Define technical direction, reliability, and operational patterns for the product suite.