Senior Software Engineer - Identity Graph

About the role

This role is on the Platform Graph team. We’re building a new, large-scale distributed graph data platform that maps how identities, accounts, and the resources they can access connect to one another, and makes those connections fast to query for the products that build on top of us.

Responsibilities

• Help design, build, test, and run the graph data platform and its supporting microservices in C#/.NET, in line with Delinea’s cloud and security architecture standards.
• Build with AI every day. We’re an AI-first team: we lean on AI coding assistants and agents to design, write, and review code, and we expect everyone to keep getting sharper with them.
• Design the graph data models and schemas, including node and edge types, traversal patterns, and query patterns, to answer security questions such as relationship mapping, access-path analysis, and impact analysis.
• Validate designs against scale and latency targets for systems containing hundreds of millions to billions of entities.
• Build and evolve the API layer that other product teams query, keeping complexity behind clean, versioned REST and GraphQL contracts.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• 5+ years of experience writing production software in C#/.NET, or a comparable backend language, and building microservices.
• PRACTICAL experience using AI coding tools such as Claude Code, GitHub Copilot, Cursor, or similar tools in production work, along with the judgment to use them effectively.
• Experience designing data models and schemas, with a solid understanding of query optimization and distributed-data consistency trade-offs.
• Experience building systems that run at large scale and an understanding of how connected, relationship-shaped data and graph traversals differ from traditional relational access patterns.
• Experience with relational and/or NoSQL databases such as Azure SQL, Cosmos DB, PostgreSQL, or MongoDB.
• Strong understanding of microservices and RESTful API design.
• Experience with Microsoft Azure, or another major cloud provider, as well as cloud-native deployments using Kubernetes and containers.

Qualifications

• Experience with graph databases and query languages such as JanusGraph, Neo4j, Amazon Neptune, Apache TinkerPop/Gremlin, or Cypher.
• Experience with large-scale distributed NoSQL or wide-column databases, such as Apache Cassandra or ScyllaDB.
• Background in graph theory, graph algorithms, network analysis, or relationship analysis.
• Experience with database performance tuning, partitioning, sharding, replication, and high-availability systems.
• Familiarity with event-driven architectures, service meshes, and API gateways.
• Experience building data platforms that support AI/ML or analytics use cases, such as anomaly detection or risk scoring.

Skills

• Experience with C#/.NET
• Practical experience with AI coding tools
• Experience with graph databases and query languages
• Experience with large-scale distributed systems
• Experience with relational and NoSQL databases
• Understanding of microservices and RESTful API design
• Experience with Microsoft Azure and Kubernetes
• Experience with graph theory and network analysis
• Experience with database performance tuning
• Experience with event-driven architectures and service meshes
• Experience with AI/ML and analytics use cases

Benefits

We offer competitive salaries, a meaningful bonus program, and excellent benefits, including healthcare insurance, as well as pension/retirement matching, comprehensive life insurance, an employee assistance program, time off plans, and paid company holidays.

Pay

The salary range for this position is $120,000 - $180,000 annually, depending on experience and qualifications.

Schedule

Full-time, Monday through Friday, 9am to 5pm.