Infrastructure Engineer; SRE + AIOps
Job in
Abu Dhabi, UAE/Dubai
Listed on 2026-10-21
Listing for:
TMC Middle East
Full Time
position Listed on 2026-10-21
Job specializations:
-
IT/Tech
SRE/Site Reliability, Systems Engineer, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
Position Summary
As an Infrastructure Engineer (SRE + AIOps), you will keep AIQ’s video-analytics platform reliable, observable, and self-healing across cloud and edge deployments. You will build the Kubernetes-based delivery tooling, observability stack, and AIOps-driven monitoring that let the platform scale safely and recover quickly when things go wrong.
Responsibilities- Own site reliability engineering (SRE) for AIQ’s cloud and edge distributed systems, ensuring availability, scalability, and resilience.
- Build and maintain Kubernetes (k3s) clusters, Helm charts, and ArgoCD pipelines for CI/CD and marketplace-style deployments.
- Develop automation and platform tooling using Python (FastAPI), Go, or Node.js.
- Implement and maintain the observability stack — Prometheus, Grafana, Open Telemetry, and ELK / Open Search — for metrics, logs, and traces.
- Apply AIOps techniques, including anomaly detection, alert correlation, and predictive incident management, to reduce alert noise and surface issues early.
- Build event-driven pipelines using Kafka / RabbitMQ for scalable data and telemetry flows.
- Define and maintain Infrastructure as Code (Terraform, Helm, Git Ops workflows) for repeatable, auditable deployments.
- Drive reliability engineering practices — SLOs / SLIs, incident response, postmortems, and self-healing systems.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 4 – 8 years of experience in Site Reliability Engineering, Dev Ops, or Platform Engineering roles.
- Hands-on experience with Kubernetes (k3s), Helm, and ArgoCD for CI/CD and marketplace-style deployments.
- Proficiency in Python (FastAPI), Go, or Node.js for automation and platform tooling.
- Experience with observability tooling such as Prometheus, Grafana, Open Telemetry, and ELK / Open Search.
- Familiarity with AIOps concepts, including anomaly detection, alert correlation, and predictive incident management.
- Experience with event-driven systems (Kafka / RabbitMQ) and Infrastructure as Code (Terraform, Helm, Git Ops workflows).
- Strong grounding in reliability engineering practices: SLOs / SLIs, incident response, postmortems, and self-healing systems.
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