Top Artificial Intelligence DevOps & Platform Engineering Jobs

Lead design and rewrites to build a scalable, resilient backend and cloud infrastructure. Own data storage performance, CI/CD pipelines, IaC, observability, incident response, and analytics. Mentor engineers, support customer onboarding and integrations, and drive reliability and scalability for AI-first products.

The Reliability Engineer will manage performance and reliability of Proscia's installations, ensure system stability, troubleshoot issues, and improve automated deployment processes.

Lead infrastructure efforts at Amperos Health, enhancing AWS operations, observability, and development velocity while collaborating with teams to build AI features.

The role involves supporting ML infrastructure, building diagnostic tools, managing deployments, and optimizing GPU utilization for ML projects.

Design and build secure, scalable infrastructure systems, collaborate on product development, and write documentation and specifications. Ideal candidates have extensive production engineering experience, particularly in crypto products.

Lead design and delivery of enterprise-grade platform capabilities: multi-tenancy, identity and authorization, tenant provisioning, metering/billing, audit/compliance, and automation. Act as a hands-on principal engineer across platform, security, and AI/ML teams to build scalable, secure, and operable systems for regulated scientific customers.

Build and maintain cloud-based infrastructure and CI/CD pipelines, automate deployments and workflows, support application deployment, and collaborate with cross-functional teams to improve reliability and scalability.

Design and maintain scalable GCP infrastructure, guide Agile teams, optimize data workflows, and ensure security compliance. Act as a mentor to teams.

The Software Engineering Manager will lead the Platform Engineering team, managing engineers while architecting an AI-based fraud detection platform utilizing big data technologies.

Build and automate tools and infrastructure to support Sales Engineering. Manage Docker-based and web applications, automate sales/delivery workflows, maintain AWS infrastructure, and develop applications using Node.js, Angular, GraphQL, and MongoDB.