远程工作雷达

资深软件工程师

Staff Software Engineer

AI开发工程未标注地域日间重叠约 2 小时,需偶尔早起或晚睡
公司GoTo
薪资未公开
工作地点Hungary
地域资格未标注地域
时区要求日间重叠约 2 小时,需偶尔早起或晚睡
用工类型Full Time
发布时间今天
数据来源Himalayas
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作息提示:日间重叠约 2 小时,需偶尔早起或晚睡。

你将工作的地点:
远程(匈牙利)GoTo 工程

我们是远程工作技术的开拓者,构建强大、灵活的解决方案,让每个人都能在工作和生活之外过上最好的生活。在这里,你将有机会开辟新路径,重新定义世界的工作方式。对我们来说,AI 不仅仅是一个热门词汇;它是我们用来为客户和团队提供真正实用价值的工具。我们专注于解决有意义的问题,而不是为了使用 AI 而添加功能。在这里,成长有多种形式:你可以拓展技能、迎接新挑战、领导项目并探索创意想法。加入 GoTo 产品团队,成为全球数百万用户工作场所变革的关键角色——你的工作将真正带来改变。
你的日常
Mercury 和 Hamster 是 LogMeIn Resolve 帮助台和库存管理功能背后的两个工程团队——合起来,我们的 IT 服务管理(ITSM)表面。
作为 LogMeIn Resolve 的高级软件工程师,你将负责:

  • AI 原生系统架构 —— 你将设计并主导高可用、容错、可扩展的架构,用于我们 Mercury 和 Hamster 团队的 AI 驱动功能。我们的后端主要使用 Node 和 Java,前端使用 React 和 Lit,通过 Terraform 在 AWS 上部署——但我们更关注你在任何环境中的快速上手能力,而不是特定技术栈的匹配。
  • 约束工程 —— 你将在基于随机性和 LLM 的系统之上,运用成熟的可靠系统构建方法:在正确层级诊断故障并用正确的模式进行修复,量化 AI 驱动功能的成本和可靠性,并构建可重复使用的工具集,将经验教训转化为可复用的工具,而非部落知识。
  • 跨团队技术领导力 —— 你将指导两个团队的工程师,提升代码质量和 AI 辅助工程实践,并与组织内的技术同行协调架构决策。
  • 持续改进 —— 你将领导事件调查和根本原因分析,参与招聘和面试流程,并随着工具生态的发展,推动组织如何构建和评估 AI 驱动功能。

我们寻找的人选
作为高级软件工程师,你的背景可能包括:

  • 在拥有高可用、容错、可扩展系统的经验方面有出色记录
查看英文原文

Where you’ll work:
Remote (Hungary)Engineering at GoTo

We’re trailblazers in remote work technology—building powerful, flexible solutions that empower everyone to live their best life, both at work and beyond. With us, you’ll have the opportunity to chart new paths and help redefine how the world works. For us, AI isn’t just a buzzword; it’s a tool we use to deliver real, practical value to our customers and teams. We focus on solving meaningful problems, not just adding features for the sake of using AI. Here, growth takes many forms: you can expand your skills, take on new challenges, lead initiatives, and explore creative ideas. Join a GoTo product team and play a key role in transforming the workplace for millions of users worldwide—your work will truly make a difference.
Your Day to Day
Mercury and Hamster are the two engineering teams behind LogMeIn Resolve's Helpdesk and Inventory Management capabilities — together, our IT Service Management (ITSM) surface.
As a Staff Software Engineer at LogMeIn Resolve, you would be working on:

  • AI-Native Systems Architecture — You will design and own highly available, fault-tolerant, scalable architecture for AI-powered features spanning our Mercury and Hamster teams. Our stack is primarily Node and Java on the backend, React and Lit on the frontend, deployed on AWS via Terraform—but we care far more about how fast you get productive in any environment than about a specific stack match.
  • Constraint Engineering — You will bring an already-mature discipline for building reliable systems on top of stochastic, LLM-based systems: diagnosing failures at the right layer and correcting them with the right pattern, quantifying the cost and reliability of AI-powered features, and building reproducible harnesses that turn hard-won lessons into reusable tooling rather than tribal knowledge.
  • Cross-Team Technical Leadership — You will mentor engineers across two teams, raise the bar on code quality and AI-assisted engineering practice, and align architecture decisions with technical peers across the organization.
  • Continuous Improvement — You will lead incident investigations and root-cause analysis, contribute to hiring and interview processes, and evolve how the organization builds and evaluates AI-powered features as the tooling landscape matures.

What We're Looking For
As a Staff Software Engineer, your background will look like:

  • A strong track record of owning highly available, fault-tolerant, scalable system architecture at a Staff level, or clearly ready for it
  • Very strong, daily, professional use of AI coding tools as a core part of how you build software—not occasional use
  • Already fluent in engineering reliable systems on top of stochastic, LLM-based systems—diagnosing failures at the right layer, quantifying cost and reliability, and building reproducible evaluation harnesses—this is not something we have the bandwidth to teach from scratch
  • Demonstrated ability to mentor engineers, influence architecture across teams, and ramp into an unfamiliar stack or environment quickly
  • Curiosity and a growth mindset—you already keep up with how AI tooling is evolving and actively apply it to solve real engineering problems

What We Offer
At GoTo, we care about helping our people succeed at work and feel supported in life. Our employee benefits and programs are designed to support your well-being, growth, and sense of belonging. Here's what you can expect as part of our team:

  • Comprehensive health benefits
  • Generous paid time off, including paid holidays, volunteer days, quarterly self-care days, and company-designated no-meeting days
  • Tuition reimbursement and access to instructor-led and on-demand learning and development programs
  • The Thrive Global Wellness Program, a confidential Employee Assistance Program (EAP), a wellness app and one-on-one wellness coaching
  • Employee-led communities and programs, including Employee Resource Groups (ERGs), GoTo Gives, and charitable matching

We work hard to create an environment where everyone feels welcome, respected, and able to contribute. Building a culture of belonging isn't just something we talk about - it's part of how we work every day.
Specific benefits and offerings may vary by country in line with local regulations and market practices.

At GoTo, you’ll find the flexibility, resources, and support you need to thrive—at work, at home, and everywhere in between. You’ll work towards a shared goal with an open-minded, cohesive team that’s greater than the sum of its parts. We’re committed to creating an inclusive space for everyone, because we know unique perspectives make us a stronger company and community. Join us and be part of a company that invests in your future, where together we’ll Be Real, Think Big, Move Fast, Keep Growing, and stay Customer Obsessed.Learn more.

Originally posted on Himalayas

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