MLOPS Engineer | Charlotte, NC | Richardson, TX | Phoenix, AZ | Iselin, NJ – Onsite | Contract W2
About The Position
The MLOps Engineer will lead complex infrastructure initiatives supporting Generative AI and Predictive AI platforms from design through production operations. The role serves as a technical lead for platforms supporting AI/ML model training, inference, and batch workloads. The engineer will design, build, deploy, and operate OpenShift-based container platforms optimized for high-performance GPU workloads, and build, support, and operate scalable GPU SuperPod architecture with large multi-node GPU clusters. The role owns monitoring and observability using Grafana, Splunk, and enterprise telemetry tools; defines SLIs/SLOs and actionable signals to detect performance, capacity, and resiliency risks; and develops AI- and agent-based automation for self-healing, scaling, diagnostics, and incident remediation. The engineer will apply AIOps techniques, lead production incident analysis, promote root-cause prevention, mentor engineers, and influence stakeholders across a geographically distributed organization. This is a 12-month W2 contract role requiring five days onsite per week in Charlotte, NC; Richardson, TX; Phoenix, AZ; or Iselin, NJ. The position participates in a 24x7 on-call rotation and operates in regulated enterprise environments with a strong risk and control focus. The engineer is accountable for production stability, platform health, and customer outcomes.
Requirements
- At least 5 years of infrastructure engineering experience.
- At least 5 years troubleshooting complex end-to-end architectures, including CI/CD pipelines.
- At least 5 years of Linux systems experience.
- At least 4 years supporting AI/ML platforms.
- At least 4 years of Kubernetes/container platform experience, including production support.
- Comfort working onsite five days per week in one of the listed locations.
Nice To Haves
- Experience with Generative AI and Predictive AI platforms.
- Hands-on GPU platform operations, including scheduling, quota management, and performance tuning.
- Experience with OpenShift in GPU-enabled, multi-tenant environments.
- Experience designing or operating GPU SuperPods.
- Deep experience with observability using Grafana, Splunk, and custom telemetry pipelines.
- Experience building AI- or agent-driven automation tooling (AIOps).
- Hands-on experience supporting AI/ML workloads on GCP and Azure, including GPU-backed services and managed AI infrastructure.
- Experience operating hybrid or multi-cloud AI platforms, with understanding of cloud-native services, networking, identity, and cost optimization for Generative and Predictive AI.
- Experience monitoring AI signals such as inference latency and GPU utilization.
- Experience with BCP/DR, resiliency, and highly available architectures.
Responsibilities
- Lead complex infrastructure initiatives for Generative AI and Predictive AI platforms from design through 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 and observability using Grafana, Splunk, and enterprise telemetry tools.
- Define SLIs/SLOs and actionable signals 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 alert 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.
- Participate in a 24x7 on-call rotation and own production stability, platform health, and customer outcomes.
- Operate in regulated enterprise environments with a strong risk and control focus.
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What This Job Offers
Career Level
Senior
Education Level
No Education Listed
