DevOps Engineer

INSPYR Solutions • Austin, TX

17d • Onsite

About The Position

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.

Requirements

• 5+ years of DevOps Engineering experience
• Understanding of networking fundamentals i.e. routing, latency, service communication
• Experience supporting microservices-based architectures at scale
• Experience configuring systems with high memory and specialized compute requirements
• Cloud experience with AWS and/or GCP
• Experience working with Kubernetes clusters, including provisioning and deprovisioning cluster resources, installing and managing platform software and assigning and scheduling workloads across CPU and GPU nodes
• Experience with monitoring and observability tools

Nice To Haves

• MLOps experience, including model storage, versioning, and artifact management

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed