远程工作雷达

首席软件工程师

Principal Software Engineer

开发工程限定地区(需当地身份)
公司HubSpot
薪资$313,800 - $502,080/年
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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POS-5690
关于团队
可观测性团队负责内部平台,使每位HubSpot工程师都能在生产环境中实时了解其系统的行为。我们构建并运营分布式追踪、指标、告警和日志基础设施,这些基础设施覆盖数百个微服务、每天数十亿事件以及依赖这些信号的数千名工程师。
我们现在正在投资下一代该平台。随着HubSpot在产品中部署AI代理和ML驱动的功能,该团队正在构建追踪和遥测基础组件,使我们能够理解、调试并信任这些系统在生产环境中的行为。这是一项在少数公司能实现的规模下进行的技术有趣的工作,我们正在寻找一位高级工程师来领导这项工作。
关于职位
我们正在寻找一位高级软件工程师作为HubSpot可观测性平台的技术核心。该职位位于大规模分布式系统、开发者平台设计和AI可观测性的交汇点。该职位的一大重点是跨大型工程组织进行协作,并制定模式和标准,使各团队更容易对其服务进行仪器检测、告警和推理。你还将塑造我们如何在生产环境中追踪和理解不断增长的AI代理和ML系统:这是一个技术上独特且日益关键的问题。
关键期望

  • 可观测性平台架构:定义HubSpot核心遥测平台(分布式追踪、指标和结构化日志)的模式和演进方向,该平台覆盖数百个服务和每天数十亿事件。为大型多语言工程组织中的仪器检测设定标准。
  • AI与代理可观测性:主导生产环境中AI代理和ML驱动系统的追踪和理解的技术策略。定义基础组件、遥测标准和调试流程,帮助产品工程师理解他们的模型和代理在做什么,并随着时间建立对这些系统的信任。这是一项全新的且具有重大影响的工作。
  • 高基数、高吞吐量系统:设计处理高基数数据的遥测管道和存储系统,在不增加成本或查询延迟的情况下实现高吞吐量。在采样、精确度、保留时间和开发人员易用性之间做出有原则的权衡。
  • 亲自动手、高杠杆的建设者:
查看英文原文

POS-5690
About the Team
The Observability team owns the internal platform that gives every HubSpot engineer real visibility into how their systems behave in production. We build and operate the distributed tracing, metrics, alerting, and logging infrastructure that spans hundreds of microservices, billions of daily events, and thousands of engineers who depend on that signal to ship reliably.
We are now investing in the next generation of this platform. As HubSpot deploys AI agents and ML-powered features across the product, the team is building the tracing and telemetry primitives that make it possible to understand, debug, and trust what those systems are doing in production. This is greenfield, technically interesting work at a scale few companies operate at and we are looking for a Principal Engineer to help lead it.
About the Role
We are seeking a Principal Software Engineer to be the technical anchor for HubSpot’s Observability platform. This role sits at the intersection of large-scale distributed systems, developer platform design, and AI observability. A big part of this role is working horizontally across a large engineering org and setting patterns and standards that make it easier for teams to instrument, alert on, and reason about their services. You will also shape how we trace and understand our growing fleet of AI agents and ML systems in production: a technically distinct and increasingly critical problem.
Key Expectations

  • Observability Platform Architecture: Define the patterns and evolution of HubSpot’s core telemetry platform — distributed tracing, metrics, and structured logging — at a scale that spans hundreds of services and billions of daily events. Set the standards for how instrumentation is done across a large, polyglot engineering organization.
  • AI & Agentic Observability: Lead the technical strategy for tracing and understanding AI agents and ML-powered systems in production. Define the primitives, telemetry standards, and debugging workflows that help product engineers understand what their models and agents are doing — and build trust in those systems over time. This is greenfield and consequential work.
  • High-Cardinality, High-Throughput Systems: Architect telemetry pipelines and storage systems that handle high-cardinality data at high throughput without blowing up cost or query latency. Make principled tradeoffs between sampling, fidelity, retention, and developer ergonomics.
  • Hands-on, High-Leverage Builder: Ship production code. Lead design reviews and take high-impact initiatives end-to-end, from prototype to production system at scale. Stay close to the systems you build and be the person who can debug the hardest problems when they surface.
  • Developer Experience & Adoption: Design the instrumentation APIs and libraries that product engineers reach for, making correct observability the path of least resistance. Drive OpenTelemetry adoption across a large, polyglot codebase. Build the tooling that turns raw telemetry into actionable signal for teams operating at speed.
  • Production Intelligence & Reliability Patterns: Define patterns for SLO/SLI design, alerting philosophy, and how teams graduate from reactive to proactive incident response. Push for simplicity in a domain that wants to get complicated, and consistency where tooling can drift across a large organization.
  • Technical Leadership & Influence: Partner with infrastructure, platform, and product engineering teams to understand their signal gaps and close them. Influence technical strategy alongside engineering leadership, translating observability constraints and opportunities into product and operational decisions. Mentor senior engineers and tech leads, driving thoughtful design decisions and capturing learnings from major incidents and large-scale migrations.

What You Bring

  • Platform-Builder Experience: Proven experience building observability or telemetry tooling for internal engineering teams, rather than simply consuming it. You understand how to architect developer platforms that serve thousands of engineers across a large organization, backed by deep operational instincts and hard-earned expertise.
  • Telemetry Systems Depth: Deep expertise navigating trade-offs in telemetry pipeline design across high-cardinality data, dynamic sampling, query latency, retention economics, and data fidelity. Strong technical fluency with OpenTelemetry, distributed tracing engines, metric backends, and large-scale log ingestion infrastructure.
  • Incident Automation & Operational Excellence: Proven track record linking telemetry signals directly to automated operational workflows. You have designed architecture for real-time telemetry triggers that power automated remediation, dynamic runbooks, or AI-assisted root-cause diagnosis across microservices environments.

Why This Role, Why Now
HubSpot is scaling fast — more engineers, more microservices, more AI systems running in production — and the Observability platform is at an inflection point. The foundations are solid, but the next phase requires a different kind of investment: rethinking cardinality economics, making OpenTelemetry the default across a large polyglot org, and building an entirely new layer of AI tracing that doesn’t yet exist.
This Principal Engineer will have a direct line of sight from the architecture they design to the engineering outcomes we measure: incident response times, adoption rates, developer satisfaction, and the trust that product teams place in their production signal. The AI observability layer in particular is greenfield — there is no playbook to follow, which is exactly what makes this the right moment for the right person.
If you want to build the platform that helps thousands of engineers understand what their systems are doing — including systems powered by AI that are genuinely hard to see inside — this is the role.

Pay & Benefits

The cash compensation below includes base salary, on-target commission for employees in eligible roles, and annual bonus targets under HubSpot’s bonus plan for eligible roles. In addition to cash compensation, some roles are eligible to participate in HubSpot’s equity plan to receive restricted stock units (RSUs). Some roles may also be eligible for overtime pay. Individual compensation packages are tailored to your skills, experience, qualifications, and other job-related reasons.

This resource will help guide how we recommend thinking about the range you see. Learn more about HubSpot’s compensation philosophy.

Benefits are also an important piece of your total compensation package. Explore the benefits and perks HubSpot offers to help employees grow better.

At HubSpot, fair compensation practices aren’t just about checking off the box for legal compliance. It’s about living out our value of transparency with our employees, candidates, and community.

Annual Cash Compensation Range:

$313,800—$502,080 USD

At HubSpot, we value both flexibility and connection. Whether you’re a Remote employee or work from the Office, we want you to start your journey here by building strong connections with your team and peers. If you are joining our Engineering team, you will be required to attend a regional HubSpot office for in-person onboarding. If you join our broader Product team, you’ll also attend other in-person events, such as your Product Group Summit and other gatherings, to continue building on those connections.

If you require an accommodation due to travel limitations or other reasons, please inform your recruiter during the hiring process. We are committed to supporting candidates who may need alternative arrangements

About HubSpot

HubSpot (NYSE: HUBS) is an AI-powered customer platform with all the software, integrations, and resources customers need to connect marketing, sales, and service. HubSpot's connected platform enables businesses to grow faster by focusing on what matters most: customers.

At HubSpot, bold is our baseline. Our employees around the globe move fast, stay customer-obsessed, and win together. Our culture is grounded in four commitments: Solve for the Customer, Be Bold, Learn Fast, Align, Adapt & Go!, and Deliver with HEART. These commitments shape how we work, lead, and grow.

We’re building a company where people can do their best work. We focus on brilliant work, not badge swipes. By combining clarity, ownership, and trust, we create space for big thinking and meaningful progress. And we know that when our employees grow, our customers do too.

Recognized globally for our award-winning culture by Comparably, Glassdoor, Fortune, and more, HubSpot is headquartered in Cambridge, MA, with employees and offices around the world.

Explore more:

  • HubSpot Careers
  • Life at HubSpot on Instagram

If you need accommodations or assistance due to a disability, please reach out to us using this form.

Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Germany Applicants: (m/f/d) - link to HubSpot's Career Diversity page here.

India Applicants: link to HubSpot India's equal opportunity policy here.

HubSpot may use AI to help screen or assess candidates, but all hiring decisions are always human. More information can be found here. By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. We may use CLEAR ID Verification during the hiring process to confirm your identity and help maintain a safe, secure, and trusted experience for all candidates. Refer to HubSpot's Recruiting Privacy Notice for details on data processing and your rights.

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