Senior .NET/C# Engineer - Iris AI

Iris AI is the team building the AI-powered capabilities of the Delinea Platform. We put LLMs to work on real security problems: detecting anomalies in audit data, making authorization decisions smarter, and building agents that do real work for our customers. The problems are new, the pace is fast, and what you build ships to some of the world's largest organizations.

You'll design, build, and run the cloud services behind Delinea's AI features, with LLMs as part of your toolkit: inference, retrieval, agents, and evaluation are all product surface you own. Our services are written in C#/.NET, Python, and Go. Be strong in one, and be willing to work in any. You'll report to the Director of Engineering, Iris AI.

• Build and run scalable, highly available backend services in C#/.NET, Python, and Go on Azure and Kubernetes.

• Build LLM-powered features on platforms like Azure AI Foundry: model integration, context pipelines, RAG, tool calling, agents, and evals.

• Design event-driven, asynchronous architectures across our microservices.

• Own delivery end to end: Terraform, CI/CD, monitoring, and production incident response.

• Work closely with product, UX, and other platform teams; give and get sharp code and design reviews.

• Build with AI every day. We use coding agents to design, write, and review code, and we hold that code to the same bar as anything written by hand.

• A degree in Computer Science or a related field, or equivalent experience.

• 8+ years designing and building production backend services in C#/.NET, Python, or Go, with experience across the full software development lifecycle.

• Hands-on experience building products with LLMs (not just using them): inference, structured outputs, RAG, tool calling, or agents on Azure AI Foundry, the OpenAI API, Amazon Bedrock, Google Vertex AI, the Anthropic API, or similar.

• Fluency with AI-assisted development (Claude Code, GitHub Copilot, Cursor) treated as a discipline in its own right: spec-driven development, careful context, and verified, tested output.

• Strong grasp of distributed systems, API design, and microservices, plus experience with a major cloud provider.

• Solid understanding of multi-tenant SaaS architecture and the trade-offs of operating at scale.

• Experience building tools, APIs, or integrations that AI agents call - MCP servers, function/tool-calling interfaces, plugins, or similar.

• ML and MLOps depth: fine-tuning, eval harnesses, and deploying and evaluating models in production.

• Kubernetes, Terraform, and CI/CD pipelines.

• Identity security, PAM, or Zero Trust background.

For this Job, Delinea is not considering candidates that need any type of US work authorization now or in the future. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, L-1, J1, etc.

• Spirited - We bring energy and passion to everything we do

• Trust - We act with integrity and deliver on our commitments

• Respect - We listen, value different perspectives, and work as one team

• Ownership - We take initiative and follow through

• Nimble - We adapt quickly in a fast-changing environment

• Global - We embrace diverse people and ideas to drive better outcomes

We believe weaving these core values into our day-to-day actions, and our process for hiring, evaluating, and promoting employees, helps us cultivate a work environment that embraces collaboration and camaraderie.

We take care of our employees. 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.

Delinea is an Equal Opportunity and Affirmative Action employer and prohibits discrimination and harassment of any type with regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Upon conditional offer of employment, candidates are required to complete comprehensive criminal background check, verification of education, and verification of employment, per employment policy. In addition, all publicly posted social media sites may be reviewed.