This role has closed. Fractal has taken the posting down.
hirly last saw it live on 30 September 2026. See similar open roles below, or browse the live board.
Fractal
Senior Graph Platform Engineer
Bengaluru
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hirly's read of this role
- Role family
- Engineering
- Seniority
- Senior
- Country
- IN
- Work mode
- On-site / unstated
- First seen by hirly
- 13 Sept 2026
Derived automatically from the posting.
the posting
It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
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 strong 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, strong 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
- Strong Azure networking and security fundamentals
- Comfortable owning production on-call for critical infrastructure
Nice to have:
- Experience operating other graph databases (TigerGraph, Neptune) at platform level
- Azure Databricks platform administration
- Prior work in a Tier-0 / mission-critical availability environment
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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