Infrastructure Engineer (SRE + AIOps)

Astek Group; Dubai; On-site; AED 200,000 - 320,000; Full time

Job summary

Astek Group is seeking an Infrastructure Engineer (SRE + AIOps) in Dubai to join a dynamic client team. You will design, deploy, and maintain reliable cloud and edge infrastructure for distributed applications, with emphasis on automation and reliability.

The role requires hands-on experience with Kubernetes (k3s), Helm, ArgoCD, Terraform, and observability stacks (Prometheus, Grafana, OpenTelemetry, ELK/OpenSearch).

Qualifications

• 4-8 years of experience in Infrastructure Engineering, SRE, DevOps, or Platform Engineering.
• Hands-on with Kubernetes (k3s), Helm, and ArgoCD.
• Proficiency in Python, Go, or Node.js for infrastructure automation.
• Experience with Prometheus, Grafana, OpenTelemetry, and ELK/OpenSearch.
• Knowledge of AIOps, anomaly detection, and predictive incident management.
• Experience with Kafka or RabbitMQ and distributed systems.
• Strong understanding of Terraform, IaC, and GitOps.
• Experience with SLIs/SLOs, incident response, troubleshooting, and postmortems.

Responsibilities

• Design, deploy, and maintain reliable cloud and edge infrastructure for distributed applications.
• Manage Kubernetes (k3s) environments using Helm and ArgoCD, supporting automated deployments and GitOps workflows.
• Build automation scripts and platform tools using Python, Go, or Node.js.
• Implement observability solutions with Prometheus, Grafana, OpenTelemetry, and ELK/OpenSearch.
• Apply AIOps methods for anomaly detection, alert correlation, predictive incident management, and automated remediation.
• Build and support event-driven systems using Kafka or RabbitMQ.
• Automate infrastructure provisioning and configuration with Terraform, Helm, and GitOps.
• Define and monitor SLIs and SLOs to improve reliability, performance, and availability.
• Lead incident response, troubleshooting, root cause analysis, and postmortems.
• Develop self-healing capabilities that reduce downtime and manual intervention.

Skills

SRE / DevOps

Platform Engineering

Cloud infrastructure

Incident response

Observability

Education

Bachelor's degree in Computer Science or related field

Tools

Kubernetes (k3s)

Helm

ArgoCD

Terraform

Prometheus

Grafana

OpenTelemetry

ELK/OpenSearch

Kafka

RabbitMQ

GitOps

Job description

For one of our clients, we’re looking for an Infrastructure Engineer (SRE + AIOps) to join their dynamic team.

Key responsibilities

• Design, deploy, and maintain reliable cloud and edge infrastructure for distributed applications.
• Manage Kubernetes (k3s) environments using Helm and ArgoCD, supporting automated deployments and GitOps workflows.
• Build automation scripts and platform tools using Python (FastAPI), Go, or Node.js.
• Implement observability solutions with Prometheus, Grafana, OpenTelemetry, and ELK/OpenSearch.
• Apply AIOps methods for anomaly detection, alert correlation, predictive incident management, and automated remediation.
• Build and support event-driven systems using Kafka or RabbitMQ.
• Automate infrastructure provisioning and configuration with Terraform, Helm, and GitOps.
• Define and monitor SLIs and SLOs to improve reliability, performance, and availability.
• Lead incident response, troubleshooting, root cause analysis, and postmortems.
• Develop self-healing capabilities that reduce downtime and manual intervention.

Requirements

• 4-8 years of experience in Infrastructure Engineering, SRE, DevOps, or Platform Engineering.
• Hands-on experience with Kubernetes (k3s), Helm, and ArgoCD.
• Proficiency in Python, Go, or Node.js for infrastructure automation.
• Experience with Prometheus, Grafana, OpenTelemetry, and ELK/OpenSearch.
• Knowledge of AIOps, anomaly detection, alert correlation, and predictive incident management.
• Experience with Kafka or RabbitMQ and distributed systems.
• Strong understanding of Terraform, Infrastructure as Code, and GitOps.
• Practical experience with SLIs/SLOs, incident response, troubleshooting, and postmortems.
• Familiarity with cloud and edge architectures, CI/CD pipelines, and self-healing infrastructure.

Preferred

• Experience implementing AI/ML-driven operational automation.
• Exposure to marketplace-style application deployments.
• Strong problem-solving, troubleshooting, and communication skills.