Top Artificial Intelligence DevOps & Platform Engineering Jobs

Lead platforms engineering for scalable cloud infrastructure: design and implement Kubernetes-based systems, optimize data pipelines with AI, refactor stateful services to be stateless, improve autoscaling and reliability, own data ingestion/export, build internal developer tools, enforce security and testing standards, mentor engineers, and participate in on-call rotations.

Lead customer deployments and on‑prem integrations for an AI platform across Bay Area sites. Develop customer-specific features, port cloud products to locked-down on‑prem environments, manage and debug cloud deployments (AWS, Azure, GCP, OpenShift), and learn hardware design. Role requires travel across California and close customer collaboration.

As a Site Reliability Engineer, you will manage the production environment, focusing on infrastructure design, automation, and optimizing deployment pipelines to ensure high availability.

Design, maintain, and optimize cloud infrastructure and CI/CD systems. Solve complex DevOps problems, support engineering teams, develop cloud migration strategies, and build tools to enable scalable, secure deployments.

Lead the cloud migration effort for over 1000 applications, utilizing strong C#.NET skills and Microsoft technologies while guiding development staff.

The AI Infrastructure Engineer will design and operate data and compute systems, manage GPU infrastructure, and develop data pipelines for machine learning models.

Lead the Platform & SRE team to design and operate a unified deployment platform spanning cloud and on-premise. Architect Pulumi/Kubernetes-based deployments, package software for industrial hardware, build GitHub Actions CI/CD (including HIL), and define observability with Prometheus, Grafana, and OIDC.

As an HPC/GPU Cluster Architect, you will design, architect, and scale GPU clusters, ensuring performance and reliability while automating fleet operations and mentoring junior engineers.

Design, develop, and implement solutions for systems automation while supporting global rapid response teams. Collaborate with senior technologists.

Lead platform architecture and implementation across services: design scalable APIs (REST/gRPC), event-driven systems, CDC pipelines, observability (OpenTelemetry, Prometheus), containerized deployments, full-text search, and financial-grade systems. Mentor engineers, drive reliability standards, champion trunk-based development and feature flags, and deliver mission-critical, low-latency services.