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Niche Neo4j plus AKS specialization reduces applicant density despite metro location.
Strong Neo4j and Azure platform requirements limit cross-industry transferability.
Multiple mandatory technical filters and explicit 6–12 years experience create strict shortlisting.
Deploy, operate, and maintain Neo4j Enterprise graph database clusters on Azure Kubernetes Service (AKS), including causal clustering, multi-zone availability, disaster recovery setups, and failover testing.
Build and maintain infrastructure as code (Terraform) and CI/CD pipelines for graph deployments, schema migrations, application releases, and enforce version control of code artifacts.
Own day-to-day cluster monitoring, capacity tuning, network security configurations, and act as production on-call for critical graph platform infrastructure.
6 to 12 years of platform or infrastructure engineering experience with strong hands-on expertise in Kubernetes (AKS).
Hands-on experience with Neo4j clustered operations including deployment, scaling, backup/restore, and failover.
Proficiency in Infrastructure as Code tools like Terraform and CI/CD pipeline tools such as Azure DevOps or GitHub Actions.
Strong Azure networking and security fundamentals; Production on-call experience for critical infrastructure.
Work Experience Required: 6-12 years in platform/infrastructure engineering.
Experienced platform engineer with deep operational knowledge of Neo4j graph database clustering on Azure Kubernetes Service and production reliability practices.
Comfortable implementing enterprise-grade infrastructure as code and CI/CD automation aligned to established architectural standards.
Skilled in managing mission-critical, multi-zone distributed systems with proven disaster recovery and failover management capabilities.