DevOps Engineer

Posted at: 01/20/2026

Austin, TX

  -  IT - DevOps  -  Contract  -  Job ID: 26-00294

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

  • 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 ( Grafana strongly preferred)


NICE TO HAVES

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


About INSPYR Solutions

Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients’ business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions’ Privacy Policy and INSPYR Solutions’ AI and Automated Employment Decision Tool Policy: https://www.inspyrsolutions.com/policies/. By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.

26-00294

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