Senior AI Software Developer

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Overview Overview Quest Software is seeking an experienced AI Automation Engineer to help pioneer the next generation of software lifecycle automation through agentic AI systems. This role is focused on applying modern AI agents, autonomous development workflows, and AI orchestration platforms to automate significant portions of the software development lifecycle (SDLC), including support operations, defect remediation, security vulnerability management, testing, documentation, release engineering, technical debt reduction, and product sustainment. The successful candidate will design, build, and manage AI-driven automation systems capable of operating across multiple products and technology stacks. Rather than becoming a deep subject matter expert in a specific product domain, this individual will leverage agentic AI technologies to rapidly understand, maintain, and evolve mature software products while reducing operational cost and increasing engineering efficiency. This position is particularly focused on products in the later stages of their lifecycle where automation, self-healing processes, autonomous maintenance, and AI-driven operational scale can significantly extend product viability while reducing engineering investment. The ideal candidate is someone who is passionate about creating autonomous engineering systems rather than developing individual product features. They view AI not as a coding assistant, but as an engineering workforce that can be directed, governed, and scaled. Successful candidates are typically early adopters of agentic development practices who continually experiment with emerging AI tools and are excited by opportunities to automate entire workflows rather than individual tasks. They are comfortable working across multiple codebases and technologies, using AI to rapidly build context and deliver outcomes. This is a remote position ~ Candidate must be located in Canada Responsibilities Design and implement autonomous AI workflows that automate software development, maintenance, support, and operational activities. Build multi-agent systems capable of performing root-cause analysis, bug investigation, code modification, testing, validation, and deployment tasks with minimal human intervention. Create AI-driven support automation solutions that analyze customer issues, generate proposed resolutions, implement fixes, and validate outcomes. Develop autonomous vulnerability remediation workflows utilizing tools such as Aikido Security and AI-powered code agents. Establish frameworks that allow AI systems to perform repetitive engineering activities across multiple products and technology stacks. Create reusable agent architectures, prompts, workflows, guardrails, evaluation frameworks, and governance models. Design centralized AI management and observability platforms that allow engineering teams to monitor, orchestrate, and govern agent activity at scale. Measure and continuously improve automation effectiveness, engineering productivity, support efficiency, remediation time, and operational cost reduction. Identify opportunities to transition manual engineering processes into AI-managed workflows. Drive adoption of AI-native operational models that reduce dependence on product-specific expertise. Qualifications Completion of a computer science undergraduate degree or equivalent practical experience. 6 or more years of professional software development experience, including strong hands-on C# and .NET experience. 2-3 years or demonstrated expertise building and operating agentic AI systems in production environments. Deep hands-on experience with AI coding agents, autonomous software development workflows, and multi-agent orchestration platforms. Experience using modern AI development environments including GitHub Copilot, Claude Code, Cursor, Windsurf, OpenHands, or equivalent platforms. Experience designing AI workflows that automate software development, testing, support, DevOps, security remedia

概览 概览 Quest Software正在寻找一位经验丰富的AI自动化工程师，帮助开创下一代软件生命周期自动化，通过代理式AI系统实现。该角色专注于应用现代AI代理、自主开发工作流和AI编排平台，来自动化软件开发生命周期（SDLC）的重要部分，包括支持运营、缺陷修复、安全漏洞管理、测试、文档、发布工程、技术债务减少和产品维护。成功的候选人将设计、构建和管理能够跨多个产品和技术栈运行的AI驱动自动化系统。该个人不会成为特定产品领域的深度主题专家，而是利用代理式AI技术快速理解、维护和演进成熟软件产品，同时降低运营成本并提高工程效率。该职位特别关注处于生命周期后期的产品，在这些产品中，自动化、自愈流程、自主维护和AI驱动的运营规模可以显著延长产品可行性，同时减少工程投资。理想的候选人是那些热衷于创建自主工程系统而不是开发单个产品功能的人。他们将AI视为可以被指导、治理和扩展的工程劳动力，而不是编码助手。成功的候选人通常是代理式开发实践的早期采用者，他们不断尝试新兴AI工具，并对自动化整个工作流而不是单个任务的机会感到兴奋。他们能够跨多个代码库和技术舒适地工作，使用AI快速构建上下文并交付成果。这是一个远程职位 ~ 候选人必须位于加拿大 职责 设计和实施自主AI工作流，自动化软件开发、维护、支持和运营活动。构建多代理系统，能够在最少人工干预的情况下执行根因分析、缺陷调查、代码修改、测试、验证和部署任务。创建AI驱动的支持自动化解决方案，分析客户问题、生成建议解决方案、实施修复并验证结果。利用Aikido Security和AI驱动的代码代理等工具开发自主漏洞修复工作流。建立框架，允许AI系统跨多个产品和技术栈执行重复性工程活动。创建可重用的代理架构、提示、工作流、护栏、评估框架和治理模型。设计集中式AI管理和可观测性平台，允许工程团队大规模监控、编排和治理代理活动。衡量并持续改进自动化有效性、工程生产力、支持效率、修复时间和运营成本降低。识别将手动工程流程转变为AI管理工作流的机会。推动采用AI原生运营模式，减少对产品特定专业知识的依赖。 资格 完成计算机科学本科学位或同等实践经验。6年或以上专业软件开发经验，包括强大的动手C#和.NET经验。2-3年或证明在生产环境中构建和运营代理式AI系统的专业知识。对AI编码代理、自主软件开发工作流和多代理编排平台有深入的动手经验。 experience使用现代AI开发环境，包括GitHub Copilot、Claude Code、Cursor、Windsurf、OpenHands或同等平台。 experience设计AI工作流，自动化软件开发、测试、支持、DevOps、安全修复

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