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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 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
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Skills Required
- 6–12 years of experience in platform or infrastructure engineering
- Strong hands-on Kubernetes expertise, specifically AKS
- Hands-on Neo4j cluster operations, including deployment, scaling, backup and restore, and failover
- Production-grade Infrastructure as Code experience using Terraform or equivalent
- Experience building and operating CI/CD pipelines using Azure DevOps, GitHub Actions, or equivalent
- Strong Azure networking and security fundamentals
- Willingness and ability to own production on-call responsibilities for critical infrastructure
- Experience operating other graph databases such as TigerGraph or Neptune
- Azure Databricks platform administration experience
- Experience in a Tier-0 or mission-critical availability environment
Fractal Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fractal and has not been reviewed or approved by Fractal.
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Healthcare Strength — Health coverage includes medical, dental, and vision along with tax‑advantaged accounts and EAP in the U.S., indicating a broad core package. Feedback suggests core protections exist across regions, though specifics can vary by location.
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Leave & Time Off Breadth — Time‑off programs include generous PTO, paid holidays and sick time, paid volunteer time, and sabbaticals in some areas. Some accounts also describe manager‑approved or flexible PTO approaches alongside hybrid/WFH latitude.
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Flexible Benefits — Work arrangements commonly include remote/hybrid options and flexible schedules. Flexibility is frequently highlighted as part of the overall value proposition.
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What We Do
Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and brings AI, engineering, and design to help the world's most admired Fortune 500® companies. Fractal's products include Qure.ai to assist radiologists in making better diagnostic decisions, Crux Intelligence to assists CEOs, and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions, and Eugenie.ai to find anomalies in high-velocity data & Samya.ai to drive next-generation Enterprise Revenue Growth Management. Fractal has more than 3,000 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute, featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research, and recognized as an "Honorable Vendor" in 2021 Magic Quadrant™ for data & analytics by Gartner.
