Senior Software Development Engineer – Iris AI

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Climb Channel Solutions NA

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1982

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Climb Channel Solutions NA is an IT distribution company focused on providing leading and innovative technology solutions. They support technology resellers by offering expertise in areas such as virtualization, cloud, data management, and cybersecurity, thereby enhancing their partners' success. Climb is dedicated to transforming IT distribution with exceptional service and an extensive vendor marketplace to facilitate business growth for its partners across various sectors, including public and private markets.

📋 Description

• Design, build, and run cloud services behind Delinea's AI features • Build scalable, highly available backend services on Azure and Kubernetes • Build LLM-powered features including model integration, context pipelines, RAG, tool calling, agents, and evaluations • Design event-driven, asynchronous architectures across microservices • Own delivery end to end, including Terraform, CI/CD, monitoring, and production incident response • Collaborate with product, UX, and platform teams • Participate in code and design reviews • Use AI coding agents to design, write, and review code

🎯 Requirements

• 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 across the full software development lifecycle • Hands-on experience building products with LLMs, including inference, structured outputs, RAG, tool calling, or agents • Experience with Azure AI Foundry, OpenAI API, Amazon Bedrock, Google Vertex AI, Anthropic API, or similar • Fluency with AI-assisted development, including Claude Code, GitHub Copilot, or Cursor • Knowledge of spec-driven development, careful context, and verified, tested output • Strong grasp of distributed systems, API design, and microservices • Experience with a major cloud provider • Understanding of multi-tenant SaaS architecture and operating at scale • Experience with AI-agent tools, APIs, integrations, MCP servers, function/tool-calling interfaces, or plugins • ML and MLOps experience, including fine-tuning, evaluation harnesses, and production model deployment/evaluation • Kubernetes, Terraform, and CI/CD pipeline experience • Identity security, PAM, or Zero Trust background

🏖️ Benefits

• Competitive salaries • Meaningful bonus program • Healthcare insurance • Pension/retirement matching • Comprehensive life insurance • Employee assistance program • Time off plans • Paid company holidays • Equity