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Senior Graph Platform Engineer
Role Summary: Hands-on deployment, clustering, and day-to-day operations of Neo4j on Kubernetes in Azure.

Experience: 6 - 12 years in platform/infrastructure engineering, with robust hands-on Kubernetes and Azure depth; production graph-database operations experience preferred.

Key responsibilities:
Deploy and operate Neo4j Enterprise on AKS per the Lead's architecture — causal clustering, multi-zone availability, resource sizing
Execute and maintain the disaster-recovery cluster and regional replica topology, with tested failover against committed recovery targets
Build and maintain Infrastructure as Code within the Lead's established standards — Terraform for AKS, networking, Key Vault, supporting Azure services
Build and operate CI/CD pipelines for graph deployments, schema migrations, and application releases




Manage code artifact and package repositories; enforce version-pinning and controlled release paths
Configure and operate Change Data Capture replication between clusters and downstream systems
Implement network isolation, private connectivity, and egress controls at the implementation level
Own day-to-day cluster monitoring, alerting, and capacity tuning
Execute the deployer role in the ontology change pipeline — technical execution of approved changes
Carry production on-call responsibility for critical infrastructure

Required skills:
6–12 years in platform or infrastructure engineering, solid hands-on Kubernetes expertise (AKS)
Hands-on Neo4j cluster operations — deployment, scaling, backup/restore, failover
Infrastructure as Code — Terraform or equivalent, production-grade implementation
CI/CD pipeline build and operation — Azure DevOps, GitHub Actions, or equivalent
Robust Azure networking and security fundamentals
Comfortable owning p

📌 Senior Graph Platform Engineer Bengaluru
🏢 Fractal
📍 Bengaluru