Note: The job is a remote job and is open to candidates in USA. Delinea is a cybersecurity company that secures human and machine identities through its AI-powered Identity Security Platform. The Senior Software Development Engineer will design, build, and operate cloud services behind Delinea's AI features, including LLM inference, retrieval, agents, and evaluation. The role also involves developing scalable backend architectures, owning end-to-end delivery, and collaborating across product and engineering teams.
Responsibilities
- 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
Skills
- 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
Benefits
- A meaningful bonus program
- Healthcare insurance
- Pension/retirement matching
- Comprehensive life insurance
- An employee assistance program
- Time off plans
- Paid company holidays
- Great career progression
Company Overview
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