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Technical Lead II – Data Infrastructure

Оценка ИИ

Отличная вакансия с высокой компенсацией, прозрачной культурой и возможностью работать над сложными инженерными задачами мирового уровня. HubSpot — признанный лидер в области корпоративной культуры, а работа с технологиями вроде Iceberg и Kubernetes в таком масштабе дает огромный профессиональный рост.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена необходимостью совмещать глубокую техническую экспертизу в распределенных системах (Spark, Hadoop, Iceberg) с лидерскими качествами для управления командой из 3-5 человек. Роль требует опыта работы с инфраструктурой на уровне продукта и поддержки критически важных систем в масштабе петабайт данных.

Анализ зарплаты

Медиана240 000 $
Рынок190 000 $ – 300 000 $
Оценка ИИ

Предлагаемый диапазон $200k–$321k полностью соответствует и даже несколько превышает рыночные стандарты для позиций уровня Staff/Tech Lead в США, особенно для удаленной работы. Верхняя граница диапазона ставит эту роль в ряд наиболее высокооплачиваемых позиций в индустрии.

Сопроводительное письмо

I am writing to express my strong interest in the Technical Lead II position for the Data Infrastructure—Batch Processing Team at HubSpot. With extensive experience in the Spark and Hadoop ecosystems and a proven track record of building Java-based infrastructure as a product, I am excited about the opportunity to lead a team that manages petabyte-scale data processing. My background in designing scalable backend services and implementing Kubernetes-based operators aligns perfectly with your current initiatives, including the Iceberg lakehouse platform.

Throughout my career, I have balanced the roles of a 'player-coach,' leading engineering teams while remaining deeply involved in technical architecture and code quality. I am particularly drawn to HubSpot's culture of transparency and 'Solving for the Customer,' and I am eager to apply my expertise in distributed systems to help hundreds of HubSpot engineers process data more effectively and reliably. I look forward to the possibility of contributing to your innovative engineering organization.

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Присоединяйтесь к HubSpot, чтобы масштабировать инфраструктуру данных на петабайтном уровне и определять будущее Batch Processing платформ!

Описание вакансии

POS-16866


HubSpot is seeking a Technical Lead II to join the Data Infrastructure—Batch Processing Team.

About the team

The Batch Processing Team makes processing large datasets at HubSpot unified, fast, and easy. We provide a suite of tools, platforms, and processes based on Spark, Hadoop, and Iceberg.

Our platform supports thousands of processing jobs daily across hundreds of Spark and Hadoop clusters, processing a petabyte of customer data per day. We deliver this platform on AWS through a Kubernetes control plane across multiple data centers and regions. Through supporting tools and libraries, we enable teams across the engineering organization by defining, developing, and advocating for best practices that help them process data effectively, reliably, and with high performance.

Typical projects include developing tools and client libraries, as well as implementing core orchestration and deployment functionality within our suite of Kubernetes operators. This past year, we introduced an Iceberg lakehouse platform that's driving substantial improvements in interoperability and cost savings as new ML and AI workloads ramp up.

What we're looking for

This role offers a unique opportunity to work at scale on a team pushing the boundaries of a business-critical system. As an engineer, you'll design and solve problems in large, distributed systems and develop software in Java. As a technical lead, you'll own the roadmap and strategy for these platforms, balance competing demands across a portfolio of technologies, and craft the platform into a true product that provides leverage for hundreds of engineers at HubSpot.

Role Responsibilities:

  • Lead a team of 3–5 engineers as a player-coach
  • Design and implement scalable backend services, libraries, tools, and automation for data store operations and usage
  • Collaborate with engineering teams to reliably integrate data processing technologies into their stack
  • Support the uptime and reliability of database systems
  • Work in a dynamic, agile environment to deliver comprehensive solutions that address user needs
  • Conduct code reviews, contribute to internal tooling, and maintain high coding standards for application reliability and performance
  • Coach the team to work iteratively, experiment with new ideas, and embrace a startup mentality of learning fast and adapting quickly
  • Continuously learn and adapt to new technologies and frameworks to keep our solutions at the forefront of innovation

Ideal Candidate:

  • Has extensive experience in the Spark or Hadoop ecosystems and backend platform or infrastructure development, with proficiency in Java
  • Has experience delivering infrastructure platforms to other engineering teams and understands how to build infrastructure as a product
  • Has a history of developing solutions that have had an outsized impact on organizational business goals
  • Thrives in a collaborative environment, with strong communication skills and the ability to work effectively with teams across the organization
  • Is innovative and entrepreneurial, with a keen interest in staying ahead of technology trends, particularly in AI and machine learning
  • Demonstrates strong ownership of projects end-to-end, with a track record of successfully rolling out infrastructure and collaborating with multiple engineering teams to deliver results
  • Has proven ability to solve complex technical problems and analyze trade-offs with empathy for developers

Bonus points for:

  • Experience developing automation or power-user expertise with technologies such as Iceberg, Doris, Trino, and Flink
  • Interest and experience actively supporting infrastructure at scale on Kubernetes
  • Interest and experience contributing to open source software

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:

$200,600—$321,000 USD


We know the confidence gapandimpostor syndrome can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you.

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


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


*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.


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 companywhere 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 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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Навыки

  • Java
  • Apache Spark
  • Hadoop
  • Apache Iceberg
  • Kubernetes
  • AWS
  • Distributed Systems
  • Apache Flink
  • Trino
  • Doris
  • Backend Development
  • Infrastructure as a Service

Возможные вопросы на собеседовании

Проверка опыта проектирования отказоустойчивых систем при работе с огромными объемами данных.

Опишите архитектурное решение, которое вы внедрили для обеспечения надежности Spark-джобов при обработке петабайтных данных. С какими узкими местами вы столкнулись?

Оценка лидерских качеств и умения балансировать между разработкой и управлением.

Как вы распределяете свое время между написанием кода и стратегическим планированием/менторством в роли Technical Lead? Приведите пример сложного кадрового решения.

Проверка знаний современных технологий хранения и обработки данных, упомянутых в вакансии.

Какие преимущества и сложности вы видите при переходе на Iceberg lakehouse платформу по сравнению с традиционными Hive-таблицами в контексте HubSpot?

Оценка опыта работы с облачной инфраструктурой и оркестрацией.

Расскажите о вашем опыте разработки Kubernetes-операторов для управления инфраструктурой данных. Какие паттерны проектирования вы использовали?

Проверка клиентоориентированности при создании внутренних инструментов.

Как вы собираете обратную связь от других инженерных команд и как это влияет на дорожную карту вашей платформы?

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hubspotjobs
Страна
США
Зарплата
200 600 $ – 321 000 $