Senior MLOps Architect: GPU AI Platforms & OpenShift

Conch Technologies, Inc.; Dallas (TX); On-site; USD 140,000 - 180,000; Full time

Job summary

Conch Technologies, Inc. is seeking an experienced MLOPS Engineer to lead infrastructure for Generative and Predictive AI platforms. The role focuses on OpenShift-based GPU containers, scalable SuperPod architectures, and end-to-end platform observability.

You will drive production readiness, incident analysis, and automation leveraging Grafana and Splunk across a distributed environment. Onsite in preferred locations with 12-month contract expectations.

Qualifications

• 5+ years of infrastructure engineering experience.
• 5+ years troubleshooting complex end-to-end architectures (including CI/CD pipeline).
• 5+ years Linux systems experience.
• 4+ years supporting AI/ML platforms.
• 4+ years of Kubernetes / container platform experience including production support.

Responsibilities

• Lead complex infrastructure initiatives supporting Generative AI and Predictive AI platforms from design to production operations.
• Serve as a technical lead for platforms supporting AI/ML model training, inference, and batch workloads.
• Design, build, deploy, and operate OpenShift-based container platforms optimized for high-performance GPU workloads.
• Build, support and operate scalable GPU SuperPod architecture with large multi-node GPU clusters.
• Own monitoring, ing, and observability using Grafana, Splunk, and enterprise telemetry tools.
• Define SLIs/SLOs and build actionable s to proactively detect performance, capacity, and resiliency risks.
• Build AI- and agent-based automation tools for self-healing, scaling, diagnostics, and incident remediation.
• Apply AIOps techniques to reduce fatigue and improve platform reliability.
• Lead production incident analysis and ensure operational rigor and root-cause prevention.
• Mentor engineers and influence stakeholders across a geographically distributed organization.

Skills

Infrastructure engineering

CI/CD pipelines

Linux

Kubernetes

AI/ML platforms

Tools

OpenShift

Grafana

Splunk

Job description

Conch Technologies, Inc. is seeking an experienced MLOPS Engineer to lead infrastructure for Generative and Predictive AI platforms. The role focuses on OpenShift-based GPU containers, scalable SuperPod architectures, and end-to-end platform observability.

You will drive production readiness, incident analysis, and automation leveraging Grafana and Splunk across a distributed environment. Onsite in preferred locations with 12-month contract expectations.