DevOps Engineers (AIOps) - API and Kubernetes

🏢 Dicetek LLC
📍 Abu Dhabi, United Arab EmiratesFull-timeOn-site
📅 Posted: 2w ago🔄 Updated: 2w ago
CV%
✨ AI Summary
Dicetek LLC is seeking experienced DevOps Engineers with AIOps expertise to manage and maintain their Azure infrastructure, focusing on AKS and API management. The role involves owning infrastructure as code using Terraform/Bicep, designing and maintaining CI/CD pipelines in Azure DevOps, and managing AKS operations including namespaces, network policies, and autoscaling. Responsibilities also include container governance, secret and certificate management via Azure Key Vault, configuring monitoring and alerting with Azure Monitor, enhancing security posture, and maintaining disaster recovery procedures. The ideal candidate will have 5-8 years of experience, a Bachelor's degree in Computer Application or Technology/Engineering, and strong technical skills in DevOps, Cloud, Kubernetes, and Azure. Infrastructure as code: Own and maintain all AWA Azure infrastructure in Terraform/Bicep: AKS 5-namespace cluster, ADLS Gen2 accounts with WORM policies, Azure AI Foundry APIM configurations, Azure Firewall allowlists, private endpoints, Key Vault, Container Registry, ExpressRoute peering.CI/CD pipeline ownership: Design and maintain Azure DevOps pipelines for all AWA components: container image build → ACR push → Notary v2 signing → AKS deployment; Terraform plan → policy check → apply; Agent R
Required Skills
Information Technology
○Reliability Engineering○DevOps○Cloud Computing○REST API○Cloud Native○Microservices○Containerization○Terraform○Kubernetes○Azure DevOps
Engineering, Construction & Trades
○Automation
Other
○API Operations○API Operations Engineer
Requirements

  • Technical — Essential

    • 5+ years DevOps/Platform Engineering; 2+ years on Azure

    • Terraform or Bicep — production IaC, not just templates

    • Kubernetes / AKS: namespaces, RBAC, Network Policies, Helm charts, Kustomize

    • Azure DevOps or GitHub Actions — multi-stage pipelines, approvals, environments

    • Azure Monitor, Log Analytics, KQL query language

    • Container ecosystem: Docker, ACR, image signing, admission control

    • Azure networking: VNet, private endpoints, NSGs, Azure Firewall, ExpressRoute concepts

    • KEDA (Kubernetes Event-Driven Autoscaling) or equivalent autoscaling experience

    Technical — Advantageous

    • Azure Key Vault, managed identity, Workload Identity for Kubernetes

    • OPA Gatekeeper or Kyverno for Kubernetes policy enforcement

    • Kafka / Azure Event Hubs — consumer group management, lag monitoring

    • ADLS Gen2, WORM immutable storage, lifecycle management policies

    • Azure AI Foundry / APIM — token quotas, rate limiting, backend routing configuration

    • Security tooling: Defender for Cloud, Sentinel, Notary v2

    Skills

    Terraform

    Kubernetes

    Azure DevOps

Description
Infrastructure as code: Own and maintain all AWA Azure infrastructure in Terraform/Bicep: AKS 5-namespace cluster, ADLS Gen2 accounts with WORM policies, Azure AI Foundry APIM configurations, Azure Firewall allowlists, private endpoints, Key Vault, Container Registry, ExpressRoute peering.CI/CD pipeline ownership: Design and maintain Azure DevOps pipelines for all AWA components: container image build → ACR push → Notary v2 signing → AKS deployment; Terraform plan → policy check → apply; Agent Regression Testing gate on every PR.AKS operations: Manage the 5-namespace AKS cluster — namespace isolation, Network Policies, Pod Disruption Budgets, KEDA autoscaling rules based on Kafka consumer lag, OPA Gatekeeper admission policies, Workload Identity bindings for all agent pods.Container governance: Manage ACR, enforce Notary v2 image signing, configure vulnerability scanning, maintain the approved-image ConfigMap used by OPA Gatekeeper admission control.Secret and certificate management: Own Azure Key Vault configuration — access policies per managed identity, automatic TLS certificate rotation, secret rotation schedules, audit of all secret access events.Monitoring and alerting: Configure Azure Monitor alert rules and Log Analytics KQL queries for SLA breach, error rate spike, pod crash loop, token budget breach, and Kafka consumer lag; maintain PagerDuty escalation paths.Security posture: Work with the AI Security Engineer to implement Azure Policy assignments, Defender for Cloud recommendations, Firewall rule reviews, and Private Endpoint configurations; maintain the AWA network topology diagram.Disaster recovery: Maintain and test DR procedures: failover to UAE South replica for ADLS Gen2, Azure AI Foundry PTU → PAYG → DR endpoint routing, Orkes cluster recovery, RTO/RPO validation.
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🎯 Overalli74%
⚡ Skillsi85%
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Ontology Match: 85.0
Matched:✓ Requirements Matching✓ Ontology Skills Mapping
📜 Eligibilityi49%
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Local: 19600%
🏗️ Career Fiti91%
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Seniority: 91.0
📋 Requirementsi67%
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Domain: 67.0
🔥 Motivationi78%
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Title Fit: 78.00