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Senior Cloud Expert

AdvansysCairogulftalentpublished 10/28/2026
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Must-have:PythonRustAWSAzureGoogle CloudKubernetesCloudFullstackDevOpsCI/CDAISecuritySeniorLead

About the company

Advansys is a dynamic solutions provider focused on delivering smart, modular, and sustainable technology solutions that enhance operations, improve customer experiences, and drive business modernization. With over 400 skilled engineers, we serve 100+ enterprise customers across 14 countries. Specialized in a wide array of premium services including business automation, industrial digitization, low code development, cloud services, warehouse automation, and strategic outsourcing.

Founded in 2014, Advansys is part of the INTRO Group, a private conglomerate established in 1980 with diverse investments across different business areas: oil and gas, real estate, specialized engineering, financial investment, food, and manufacturing.

Your tasks

We are looking for a senior cloud expert with deep, hands-on experience across DevOps, cloud infrastructure, AI/ML enablement, and observability. The role leads the design, automation, and operation of scalable, observable, AI-ready cloud platforms for customer engagements, and acts as a trusted technical advisor across the delivery lifecycle.

  • Lead the design, implementation, and automation of multi-cloud infrastructure (AWS, Azure, GCP) using infrastructure as code (Terraform, Ansible).
  • Build and operate CI/CD pipelines and GitOps workflows for application and infrastructure delivery.
  • Design and implement full-stack observability (metrics, logs, traces) using tools such as Prometheus/Grafana, ELK/OpenSearch, Datadog, CloudWatch, or Azure Monitor.
  • Deploy and support AI/ML workloads on cloud platforms (model hosting, MLOps pipelines, GPU/inference infrastructure) in collaboration with AI/ML teams.
  • Own container/Kubernetes platforms (EKS, AKS, GKE, OpenShift) including scaling, security hardening, and cost optimization.
  • Lead cloud migration, assessment, and modernization engagements end-to-end.
  • Act as trusted technical advisor for clients on DevOps, cloud, AI/ML, and observability architecture.
  • Define SRE practices: SLOs/SLIs, alerting strategy, and incident response runbooks.
  • Mentor mid-level cloud engineers and contribute to the DevOps/cloud knowledge base and best practices.
  • Support presales with technical SME input for DevOps/cloud/AI-ML/observability proposals.

Requirements

  • Bachelor's degree in computer science, engineering, or related field.
  • 6+ years of hands-on DevOps/cloud engineering experience across AWS, Azure, and/or GCP.
  • Strong IaC (Terraform/Ansible) and CI/CD/GitOps skills.
  • Hands-on experience deploying and operating AI/ML workloads on cloud (model serving, MLOps, GPU infrastructure).
  • Practical experience building observability stacks (Prometheus/Grafana, ELK/OpenSearch, Datadog, CloudWatch).
  • Strong containers/Kubernetes experience (EKS/AKS/GKE/OpenShift) in production.
  • Strong scripting skills (Python, Bash, PowerShell) and Windows/Linux administration.
  • At least 3 public cloud certifications (AWS/Azure/GCP – architecture, DevOps, or ML specialty).
  • Experience working with large-scale open-source projects and complex build ecosystems.
  • Knowledge of Rust and modern systems programming practices.
  • Background in encryption, secure communications, or security-focused infrastructure.
  • Experience designing automated testing and integration frameworks.