Senior AI Infrastructure Engineer

Role: Senior AI Infrastructure Engineer
Location: Charlotte, Texas, Arizona, New Jersey (Onsite)
Duration: 12 Months
Required 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.
Desired Qualifications
- Experience with Generative AI and Predictive AI platforms.
- Hands-on GPU platform operations including scheduling, quota, and performance tuning.
- Experience with OpenShift in GPU-enabled, multi-tenant environments.
- Experience designing or operating GPU Super Pods.
- 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 an understanding of cloud-native services, networking, identity, and cost optimization for Generative and Predictive AI
- Strong monitoring of AI signals such as inference latency and GPU utilization.
- Experience with BCP/DR, resiliency, and highly available architectures.
📩 Interested?
or DM me directly.
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