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Big Data Platform Engineer

Summary

Designs and maintains an Azure-based big-data platform using AKS, Kubernetes networking, and Azure DevOps to ensure reliability and security.

Systems is looking for an experienced Big Data Platform Engineer to design, manage, and optimize Azure-based data platform infrastructure. The ideal candidate will have strong expertise in Azure Kubernetes Service (AKS), Azure DevOps, Docker, Infrastructure as Code (Terraform/Bicep), and enterprise-scale data platforms, ensuring platform reliability, security, and high availability.

Responsibilities

  • Manage and support AKS-based Big Data platform infrastructure.
  • Administer Apache NiFi, Azure Event Hub, and Azure Functions.
  • Implement and maintain CI/CD pipelines using Azure DevOps.
  • Monitor platform health and performance using Azure Monitor and Log Analytics.
  • Troubleshoot platform, Kubernetes networking, and infrastructure-related issues.
  • Implement infrastructure automation using Terraform and Bicep.
  • Ensure platform security, governance, and compliance.
  • Collaborate with Data Engineering teams to enable and optimize the platform.
  • Perform platform upgrades, patching, capacity planning, and performance optimization.
  • Support production incidents and drive platform reliability initiatives.

Requirements

  • 8+ years of overall IT experience.
  • 5+ years in Cloud Infrastructure Engineering.
  • 4+ years working with Kubernetes platforms.
  • 3+ years supporting enterprise-scale Data Platforms.
  • 3+ years in DevOps/SRE practices.
  • 2+ years working with Azure Data Services.
  • Azure Kubernetes Service (AKS): Deployment, administration, upgrades, autoscaling, RBAC, networking, storage, security, and troubleshooting.
  • Kubernetes Networking: Services, Ingress, Load Balancers, DNS, Network Policies, Service Mesh (Istio preferred), and CNI Architecture.
  • Azure Networking: VNet, Subnets, Private Endpoints, NSGs, UDRs, Azure Firewall, and VPN Connectivity.
  • Docker & Containerization: Docker, Azure Container Registry (ACR), image optimization, security scanning, and lifecycle management.
  • Azure DevOps: YAML Pipelines, Git, CI/CD, ARM Templates, Bicep, and Terraform.
  • Monitoring & Observability: Azure Monitor, Log Analytics (KQL), Application Insights, and AKS monitoring.
  • Azure Event Hub administration.
  • Azure Functions deployment and operations.
  • Apache NiFi administration and performance tuning.
  • Infrastructure as Code (Terraform, Bicep, and ARM Templates).

Good-to-Have Skills

  • GitOps (ArgoCD/Flux) and Platform Engineering.
  • Grafana, Prometheus, and OpenTelemetry.
  • Microsoft Defender for Cloud, Kubernetes Security, and Container Security.
  • Azure Data Factory and Synapse Analytics.
  • Multi-region architecture, Disaster Recovery, and Landing Zone implementation.
  • Scripting using PowerShell, Bash, and Python.

See also

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