DevOps Engineer

DevOps Engineer

ABOUT THIS FEATURED OPPORTUNITY

The DevOps Engineer will join the Channel Sales and Operations team to support the deployment, infrastructure, and scaling of an AI / ML data platform that powers both web applications and machine learning workloads. This role sits at the intersection of cloud infrastructure, Kubernetes, and emerging AI / ML systems, and will play a key role in ensuring reliability, performance, and scalability as ML usage grows.

THE OPPORTUNITY FOR YOU

• Design, deploy, and operate cloud infrastructure for an AI / ML data platform supporting web applications and machine learning workloads at scale.
• Manage Kubernetes environments (EKS preferred), including provisioning resources, installing software, and scheduling CPU- and GPU-based workloads with high memory requirements.
• Support AWS and GCP environments, with a focus on AWS for application infrastructure and GCP for AI / ML workloads.
• Enable AI / ML workflows by supporting model and artifact storage, retrieval, and scaling strategies in partnership with ML teams.
• Diagnose and triage networking, performance, and system interaction issues, clearly articulating testing approaches and remediation plans.
• Implement monitoring and observability solutions (Grafana preferred), build dashboards, understand log flows, and collaborate cross-functionally to resolve production issues.

KEY SUCCESS FACTORS

NICE TO HAVES