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Salary
≈ $26k – $57k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 6+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Sep 25, 2026. First seen by Alion on Sep 11, 2026. Fractal scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Fractal Analytics is an artificial intelligence and analytics company founded in 2000 that builds decision systems for large consumer goods, retail, financial services, healthcare and technology clients. Its work combines data engineering, machine learning and behavioural science, delivered as long-running engagements alongside a set of its own products covering demand forecasting, marketing measurement, conversational analytics and medical imaging. Headquartered in New York with its largest delivery base in India, it is backed by TPG and has become one of the better known analytics services firms to emerge from the Indian market.

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!

Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

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