Consultant – Operations Oversight & Performance, AI Infrastructure
Company: Malomatia
Role summary
Consultant – Operations Oversight & Performance, AI Infrastructure is a full-time role at Malomatia in Doha, Qatar (on-site). Posted 2026-10-18. Experience level: 10+.
- Job title
- Consultant – Operations Oversight & Performance, AI Infrastructure
- Company
- Malomatia
- Location
- Doha, Qatar
- Work arrangement
- on-site
- Employment type
- full-time
- Category
- DevOps & Infrastructure
- Experience level
- 10+
- Date posted
- 2026-10-18
Here's a fantastic opportunity to join Malomatia as a Consultant, focusing on AI infrastructure operations. This full-time role is perfect for someone with over 10 years of experience looking to oversee and optimize critical GPU infrastructure and AI runtime layers, ensuring peak performance and driving continuous improvement.
Job description
The Consultant – Operations Oversight & Performance, AI Infrastructure is responsible for Oversee OEM ongoing operational delivery after go-live. Ensure the GPU infrastructure AI Runtime Layer - Kubernetes, GPU scheduling, container runtime, workloads, and autoscaling are operated to agreed performance standards and drive continuous improvement through structured oversight.
Responsibilities
Define, agree, and monitor operational KPIs and SLAs with 3rd party (availability, incident response, resolution times, change success rate, capacity utilization, etc.).
Escort Operation and hardening of Kubernetes clusters with GPU Operator, device plugins, DRA, MIG/time-slicing, and advanced schedulers (Kueue or equivalents).
Review GPU-aware scheduling, fair-share/quotas, priority classes, preemption, and multi-tenancy isolation.
Supervise manages container runtime, AI workloads (training/inference), and autoscaling.
Review integrate observability (Prometheus/Grafana + DCGM), logging, and GitOps for the runtime layer.
Support multi-cluster federation and cluster lifecycle (in partnership with Rafay layer).
Conduct regular operational reviews of Advanced NOC performance, incident trends, problem management, and change records.
Drive service improvement plans and hold 3rd party accountable for operational performance.
Review capacity, lifecycle, and maintenance plans; escalate risks to the Program Delivery Lead.
Ensure operational processes support future Platform foundation requirements (observability, identity, scheduling readiness).
Coordinate planned works, maintenance windows, and operational communications with internal stakeholders.
Maintain the operational risk register and support audit/compliance evidence collection.
Qualifications
Required Experience & Background:
10 years in GPU and HPC infrastructure operations, service management, or managed-service oversight roles.
7+ years Kubernetes (CKA preferred); deep experience running GPU workloads at scale.
Strong knowledge of CNCF ecosystem, operators, CRDs, and GPU-specific features (NVIDIA GPU Operator, DRA).
Excellent understanding of GPU or high-performance compute operations, observability, and incident/change management.
Strong analytical, reporting, and stakeholder management skills.
Preferred Certifications:
NCP-AII – NVIDIA-Certified Professional: AI Infrastructure
NCP-AIO – NVIDIA-Certified Professional: AI Operations
NCP-AIN – NVIDIA-Certified Professional: AI Networking
Red Hat Certified Specialist in Containers and Kubernetes – OpenShift Container Platform 4.6
Red Hat Certified Specialist in OpenShift Administration
Any service management or performance management credentials – advantageous
Relevant Linux or systems certifications (RHCSA or equivalent) – advantageous
Apply for Consultant – Operations Oversight & Performance, AI Infrastructure at Malomatia