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Senior Graph Platform Engineer at Fractal — Bengaluru

Experience6–12 yrs
SalaryNot disclosed
Work modeonsite
Levelsenior
Posted11 Sept 2026

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About Fractal

Fractal is hiring in Bengaluru in technology software. This role looks for around 6+ years of experience.

Skills

Kubernetes
Azure
Neo4j
Terraform
CI/CD
Azure DevOps
GitHub Actions
Azure networking
Infrastructure as Code

The role

A platform engineer at a technology software company deploys and operates Neo4j clusters on Kubernetes and Azure, builds Terraform infrastructure, and manages CI/CD pipelines. Production graph database operations, disaster recovery, and cloud networking support reliable mission-critical platforms.

Full job description

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 sizingExecute and maintain the disaster-recovery cluster and regional replica topology, with tested failover against committed recovery targetsBuild and maintain Infrastructure as Code within the Lead's established standards — Terraform for AKS, networking, Key Vault, supporting Azure servicesBuild and operate CI/CD pipelines for graph deployments, schema migrations, and application releasesManage code artifact and package repositories; enforce version-pinning and controlled release pathsConfigure and operate Change Data Capture replication between clusters and downstream systemsImplement network isolation, private connectivity, and egress controls at the implementation levelOwn day-to-day cluster monitoring, alerting, and capacity tuningExecute the deployer role in the ontology change pipeline — technical execution of approved changesCarry 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, failoverInfrastructure as Code — Terraform or equivalent, production-grade implementationCI/CD pipeline build and operation — Azure DevOps, GitHub Actions, or equivalentStrong Azure networking and security fundamentalsComfortable owning production on-call for critical infrastructure

Nice To Have

Experience operating other graph databases (TigerGraph, Neptune) at platform levelAzure Databricks platform administrationPrior 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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