Senior Graph Data Platform Engineer

Jobtailor; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

Jobtailor is seeking a senior backend engineer to design, build, and run a graph data platform and its microservices in C#/.NET. You will shape data models, schemas, and traversal patterns to answer security-related questions at scale.

You will validate designs against latency targets and contribute to a robust API layer (REST/GraphQL) consumed by multiple product teams, while leveraging AI coding tools and cloud-native deployments.

Qualifications

• Bachelor’s or Master’s degree in CS/SE or related field.
• 5+ years of production software experience in C#/.NET or comparable backend language.
• Practical experience using AI coding tools in production.
• Experience designing data models and schemas with query optimization.
• Experience with large-scale systems and graph traversals vs relational access patterns.
• Experience with relational and/or NoSQL databases (Azure SQL, Cosmos DB, PostgreSQL, MongoDB).
• Strong understanding of microservices and RESTful API design.
• Experience with cloud providers (Azure or others) and Kubernetes.

Responsibilities

• Help design, build, test, and run the graph data platform and its microservices in C#/.NET.
• Design graph data models, schemas, node/edge types, traversal patterns, and query patterns.
• Validate designs against scale and latency targets for systems with hundreds of millions to billions of entities.
• Build and evolve the API layer with REST and GraphQL contracts for other product teams.
• Collaborate on cloud-native deployments using Kubernetes and containers.

Skills

C#/.NET development

API design

Distributed systems

Graph data modeling

Cloud-native design

Education

Bachelor’s or Master’s in CS/SE

Tools

Claude Code

GitHub Copilot

Cursor

Kubernetes

Azure

Cosmos DB

PostgreSQL

MongoDB

Job description

Jobtailor is seeking a senior backend engineer to design, build, and run a graph data platform and its microservices in C#/.NET. You will shape data models, schemas, and traversal patterns to answer security-related questions at scale.

You will validate designs against latency targets and contribute to a robust API layer (REST/GraphQL) consumed by multiple product teams, while leveraging AI coding tools and cloud-native deployments.