Top Remote Artificial Intelligence DevOps & Platform Engineering Jobs

Design, build, and operate high-performance distributed authentication and real-time inference services. Implement scalable cloud APIs, distributed training and deployment pipelines, CI/CD, observability, and reliability practices. Lead incident response, on-call rotations, staged rollouts, and post-incident improvements while managing model lifecycle, data quality, and production monitoring.

The Platform Engineer will automate and manage infrastructure using automation tools, deploy Kubernetes clusters, manage open-source applications, and collaborate with teams to achieve strategic goals.

Lead the technical direction of a DevOps team, focusing on automation, Kubernetes optimization, and infrastructure design while mentoring engineers and ensuring project delivery.

As a Platform Engineer at Revic, you'll design and maintain scalable cloud infrastructure for AI systems, manage CI/CD pipelines, improve developer experience, and reduce operational friction while ensuring reliability and performance.

Build and maintain GTM systems, automations, and data pipelines that connect Sumble data to CRM, sequencing, analytics, and campaign infrastructure. Create dashboards, tooling, attribution, enrichment pipelines, and run growth experiments to scale marketing and revenue operations.

Lead and grow two teams (SRE/Infrastructure and Cloud Control Plane), own cloud platform reliability and infrastructure, drive technical direction, recruit and develop engineers, partner on roadmap, ensure operability and participate in on-call rotations.

Develop and maintain infrastructure for software development and AI operations, manage CI/CD pipelines, and automate configurations using various tools.

As a Senior Cloud Engineer, you will design, build, and maintain cloud infrastructure on AWS and OCI, implement security practices, and ensure efficient deployment processes.

The Senior Platform Engineer will manage and optimize a fleet of media players, working on software deployment, troubleshooting network issues, and improving team processes, all while collaborating with technical and non-technical stakeholders.

Design and build platforms for new products, develop generative AI features, ensure system reliability, and foster a collaborative culture in a startup environment.