Senior Software Development Engineer – Iris AI

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Climb Channel Solutions NA

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 1982

💼 Consultoria

📦 Logística

📣 Marketing

Consulting • Logistics • Marketing

Climb Channel Solutions NA é uma empresa de distribuição de TI focada em fornecer soluções tecnológicas líderes e inovadoras. Eles apoiam revendedores de tecnologia oferecendo expertise em áreas como virtualização, nuvem, gerenciamento de dados e cibersegurança, aumentando assim o sucesso de seus parceiros. A Climb é dedicada a transformar a distribuição de TI com um serviço excepcional e um extenso mercado de fornecedores para facilitar o crescimento dos negócios para seus parceiros em vários setores, incluindo mercados públicos e privados.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

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