Top Remote Artificial Intelligence DevOps & Platform Engineering Jobs

Design, build, and maintain data pipelines, optimize performance and cost-efficiency, extend capabilities, and collaborate across teams to improve data governance and quality.

As a Validator Engineer, manage validator uptime, performance and reliability, handle client upgrades, produce documentation, and support operators.

The Senior DevOps Engineer ensures uptime, availability, and performance of the BrightEdge S3 platform, maintaining cloud infrastructure and automating operations.

Lead development of a core platform area: collect stakeholder requirements, design architecture and APIs, implement features, ensure quality (tests, docs), and coordinate cross-team work.

The Senior MLOps Engineer will deploy scalable ML services, optimize resources, manage cloud storage, integrate advanced ML techniques, and set up monitoring solutions, while also automating CI/CD pipelines and workflows.

The role involves designing and maintaining AWS cloud infrastructure, utilizing automation, Kubernetes, and CI/CD practices to enhance reliability and platform capabilities.

Lead AWS architecture and operations, consult with clients to design cloud solutions, build and maintain CI/CD pipelines, implement Infrastructure as Code, oversee project delivery, and mentor engineering teams.

Design and build automation, tooling, and analytics to scale an autonomy stack. Drive release engineering and CI/CD, improve simulation and virtual testing, and collaborate across planning, motion, and controls teams to deliver production-ready autonomous software.

Maintain and improve the internal developer platform, observability stack, and AWS infrastructure (Terraform); manage Kubernetes at scale; troubleshoot distributed systems; drive security, reliability, cost and performance improvements; partner with product teams and participate in on-call support.

Design secure, scalable cloud-native solutions and Microsoft ecosystem integrations (Azure, Dynamics 365, Power Platform, Dataverse) for Lirio's AI-driven behavioral platform. Produce architecture artifacts, define integration boundaries, build prototypes, support engineering and client technical engagements, and ensure compliance, observability, and operational excellence.