Top Remote Artificial Intelligence DevOps & Platform Engineering Jobs

Seeking Data Platform Engineers to design, build, and manage scalable data pipelines and analytic query engines while ensuring data integrity and performance optimization.

The Head of Engineering, Platform will manage the engineering execution from architecture to delivery, focusing on improving AI workflows and team efficiency, while ensuring quality and reliability.

The Senior Director of SRE leads and defines reliability and operational excellence across products, manages the SRE team, and scales reliability practices within the organization.

As a Deployment Strategist, you'll empower businesses to adopt GenAI solutions, drive product deployment, and ensure customer onboarding while managing project success metrics, collaborating closely with technical teams and clients.

As a Technical Architect - Platform Engineering, you will lead AWS cloud migration strategies, assess VMware environments, and engage stakeholders for planning and execution.

Design and implement solutions to enhance platform reliability. Lead projects, collaborate across teams, and mentor junior members while enforcing best practices and reliability metrics.

The Senior SRE will manage multi-cloud infrastructure, ensuring reliability and scalability. Responsibilities include building CI/CD pipelines, defining SLOs, and implementing automation.

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

Responsible for designing and building scalable backend services, maintaining cloud infrastructure on GCP, and integrating with utility data sources, among other tasks.

Design and build scalable automation systems for managing AI network fabrics, integrating tools like NetBox, and developing CI/CD workflows while supporting large Ethernet fabric growth.