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Senior Software Engineer, Agentic AI

Autodesk

远程工作

地点
Remote (United States)
薪资
USD 117000-209330 per annual
工作安排
Full Time
发布日期
2026年10月16日

申请前,请在雇主网站确认职位仍在招聘,并检查完整要求和条件。

职位描述

此界面为简体中文。雇主发布的职位名称和描述保留原文,可能为英文。

Job Requisition ID # 26WD101603Position Overview We are seeking an experienced Senior Software Engineer to design, build, and operate resilient, scalable, high-performing services for the Product Access platform, which supports the access experience for millions of Autodesk users worldwide. You will own end-to-end solution design and delivery across the full engineering lifecycle and use spec-driven development and agentic systems to build, operate, and support Product Access in production, including agent-based automation for engineering and operational workflows. This role includes shared production on-call responsibilities as part of end-to-end service ownership. You will report to the Senior Engineering Manager and collaborate closely with Product Managers, Architects, Domain Leads, and cross-functional stakeholders across Product Access and beyond. Responsibilities Design, develop, and operate resilient, scalable, high-performing cloud-native Java microservices and distributed systems on AWS for the Product Access platform Own business features and platform initiatives end to end, from requirement analysis through production support, working with product and engineering partners on design, testing, and operational readiness Enhance system resiliency, reliability, scalability, and security; optimize performance, troubleshoot production issues, and implement engineering best practices across development and delivery pipelines Lead project delivery by organizing scope, estimating effort, establishing timelines, and driving medium-to-large initiatives independently Apply spec-driven development in platform and feature delivery Build and extend agentic systems and automation: composable skills, MCP integrations, and knowledge retrieval grounded in runbooks, tickets, and service documentation Deliver proactive triage and write-action automation with human-in-the-loop gates where required, progressing toward autonomous design-to-delivery workflows Enforce production standards for agentic systems through evaluation, CI quality gates, and end-to-end observability across agents and services Provide production support; lead incident response and root cause analysis; participate in a shared on-call rotation for production systems, including support outside standard business hours per team schedule; mentor engineers and uphold sound engineering practices Minimum Qualifications Bachelor's degree or higher in Computer Science, Engineering, or a related field, or equivalent practical experience 6+ years of progressive software engineering experience building and operating Java microservices and serverless architectures in production Strong Java and Spring Boot skills; solid unit, integration, and system testing; strong debugging in local and integrated environments Hands-on experience building or integrating AI-powered systems: agents, LLM-based applications, RAG, or tool-calling workflows Experience with spec-driven development (SDD) Experience with event-driven streaming (Kinesis, Kafka, or equivalent), containers on AWS (Docker, ECS Fargate), CI/CD (Jenkins, GitHub Actions), and core AWS services (Lambda, DynamoDB, messaging, API gateways, logging, monitoring) Strong collaboration and communication skills; effective in small teams with shared end-to-end ownership of design, delivery, and production support Preferred Qualifications Proficiency in Python and FastAPI; experience building MCP servers or equivalent tool-use frameworks for AI agents Experience with RAG, proactive or event-driven agents, and applying agentic AI to engineering workflows, operational automation, or DevOps Experience designing LLM evaluation frameworks, multi-agent patterns, and human-in-the-loop review gates Familiarity with high-volume event pipelines (Kinesis/Kafka streaming, REST publish, SNS/SQS/DLQ patterns), Gradle or Maven, OpenTelemetry, and AI tracing tools (Opik, LangSmith, or equivalent) Understanding of policy-based access control (OPA), authentication for AI systems (OAuth, Entra ID), and Responsible AI practices Technologies we use Platform: Java, Spring Boot; Python, FastAPI (agentic); AWS (ECS Fargate, Lambda, DynamoDB, SQS, API Gateway, CloudWatch, OpenSearch); Docker; GitHub; Jenkins / GitHub Actions; Gradle / Maven Streaming & events: Kinesis, Kafka, REST publish, SNS/SQS fan-out, DLQ handling, checkpointed consumers, multi-language event SDKs Observability & ops: Splunk, Kibana, Dynatrace, OpenTelemetry; Jira, Slack Agentic AI: LLM agents, MCP, RAG and vector retrieval, spec-driven development, evaluation and CI quality gates for production AI Security & access: OAuth, Entra ID, OPA and policy-based access control Exposure to equivalent technologies is welcome. Learn More About Autodesk Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us! Benefits From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting Salary transparency Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $117,000 and $209,330. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.Equal Employment Opportunity At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law. Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: In-Person Onboarding and Identity Verification This role may require in-person onboarding and/or in-person ID verification. Originally posted on Himalayas

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选择能够回应职位要求的真实经历,说明你的贡献,只使用能够证实的数字。遵循雇主的申请说明,并在提交前检查联系方式、文档内容和 PDF。

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为什么有些职位使用英文?

职位名称和描述由招聘企业撰写。为避免改变招聘要求或工作条件,我们保留原文。操作界面和本指南使用简体中文。如果中文搜索没有结果,可以尝试使用职位发布语言中的名称或技能,例如“software engineer”。搜索词不会自动翻译,界面语言也不代表企业要求的申请语言。

远程职位是否允许从任何国家工作?

不一定。企业可能对居住国家、工作许可或工作时段有要求。请查看原始招聘页面中的具体条件。如果未说明,应先向企业确认,再判断能否从你所在的地区工作。“远程”标签本身并不代表没有地点限制。

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尝试更通用的职位名称或单个技能,并逐一移除筛选条件。不同企业可能用不同名称描述相似工作。如果某个职位已经消失,请在企业招聘页面搜索其职位编号。扩大搜索范围不会让已经关闭的职位重新开放。

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申请按钮会打开外部网站。请按照企业或招聘服务的说明,在该网站完成并确认提交。在 ResumizeAI 中准备简历并不等于已经申请职位。如果链接只打开企业网站,请先找到对应职位,再继续申请流程。

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将招聘要求与能够解释清楚的项目、任务和成果联系起来。突出相关经历,不要添加未经实际掌握的技能或虚构成绩。在求职信中用具体例子说明申请动机,并遵守企业要求的语言和文件格式。提交前检查两份文件,确保内容准确、联系方式正确、链接可用。