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SeniorУдалённоПолная занятость

Senior Software Engineer II, Flywheel Foundations

Оценка ИИ

HubSpot — один из лучших работодателей в мире с сильной инженерной культурой. Позиция предлагает работу над передовыми технологиями ИИ, полную гибкость в выборе формата работы (удаленно или офис) и возможность влиять на фундаментальные части платформы.


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ЛегкоСложно
Оценка ИИ

Роль требует высокого уровня ответственности и глубоких знаний в области распределенных систем и обработки данных. Кандидату необходимо иметь подтвержденный опыт работы с Java, инфраструктурой ИИ (RAG, векторный поиск) и умение проектировать платформенные решения для других команд разработки.

Анализ зарплаты

Медиана105 000 €
Рынок90 000 € – 130 000 €
Оценка ИИ

Предлагаемая роль Senior II в Ирландии соответствует верхнему сегменту рынка. HubSpot обычно предлагает конкурентоспособные пакеты, включающие базовую зарплату, бонусы и акции (RSU), что может значительно превышать средние показатели по региону.

Сопроводительное письмо

I am writing to express my strong interest in the Senior Software Engineer II position within the Flywheel Foundations team at HubSpot. With a robust background in building scalable backend services and a deep focus on data-intensive systems, I am excited about the opportunity to contribute to the data and context layer that powers HubSpot’s AI-driven experiences. My experience in Java and designing production-grade infrastructure aligns perfectly with your mission to unlock the full potential of CRM data for intelligent assistants.

Throughout my career, I have specialized in creating durable systems that process high-volume data and provide reliable APIs for downstream teams. I am particularly drawn to this role because of the focus on RAG architectures and retrieval pipelines, areas where I have consistently delivered performance optimizations and architectural excellence. I am eager to bring my product-oriented mindset to HubSpot and help build the foundational platforms that will accelerate AI innovation across the entire ecosystem.

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Присоединяйтесь к HubSpot и создавайте фундамент для ИИ-решений нового поколения в лидирующей CRM-платформе!

Описание вакансии

Flywheel Context (Foundations) TeamIreland - we're open to fully remote, hybrid or office based - whatever works best for you!

Role Summary

HubSpot is building the next generation of AI-powered experiences across our go-to-market platform. We’re hiring a Senior Software Engineer II to join the Flywheel Context team - a foundational group responsible for building the data and context layer that powers intelligent AI assistants and agents across HubSpot.

This is a backend-leaning, data-intensive role focused on building durable production systems. You’ll design and ship the infrastructure that enables AI systems to access relevant customer context, process large volumes of CRM data, and deliver high-quality outputs at scale.

If you’re excited about building foundational platforms that unlock smarter AI across an entire product ecosystem, this role is for you.

What You’ll Do

  • Design, build, and operate backend services that power context retrieval, enrichment, and insight generation across HubSpot’s platform.
  • Build systems for storing, processing, and retrieving high-volume GTM data (e.g., contact history, CRM activity, behavioral signals).
  • Develop scalable data processing and streaming solutions to support AI-driven use cases.
  • Create reusable platform capabilities and APIs that enable other product teams to build smarter AI assistants and agents.
  • Contribute to evaluation and quality frameworks to ensure context accuracy, reliability, and performance.
  • Collaborate closely with platform teams and downstream product engineering teams to integrate capabilities into real customer experiences.
  • Own end-to-end delivery: architecture, implementation, observability, performance, and iteration in production environments.

What We’re Looking For:

  • Strong track record shipping production backend systems as a senior engineer, with ownership from design through operation.
  • Professional experience building maintainable, scalable backend services (Java preferred).
  • Strong data background and experience working with large datasets, data pipelines, and data-intensive systems.
  • Experience building or integrating AI/ML-adjacent systems in production (e.g., retrieval pipelines, embeddings, ranking systems, model-backed services, or similar).
  • Experience operating systems at scale, including performance optimization and reliability considerations.
  • Strong engineering fundamentals: system design, testing, debugging, observability, and operational excellence.
  • Product mindset - comfortable collaborating cross-functionally and building platform capabilities used by other engineering teams.

Nice to Have

  • Experience with search, retrieval, ranking, or relevance systems.
  • Familiarity with RAG architectures, vector search, or hybrid retrieval approaches.
  • Experience with streaming technologies or event-driven architectures.
  • Cloud-native development experience (e.g., Kubernetes, AWS/GCP).
  • Some frontend experience or willingness to contribute across the stack when needed.
  • Python experience.

Why This Role Matters

AI systems are only as good as the context they can access. This team is responsible for unlocking HubSpot’s greatest competitive advantage: the depth and richness of customer data across the platform.

Your work will directly impact how intelligent and reliable HubSpot’s AI agents become and enabling a true 360° understanding of customers and accelerate AI innovation across Flywheel.



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
  • Python
  • Backend
  • Data Pipelines
  • Distributed Systems
  • Kubernetes
  • AWS
  • GCP
  • Vector Search
  • RAG
  • Streaming
  • API Design
  • System Design

Возможные вопросы на собеседовании

Проверка навыков проектирования систем для работы с большими данными.

Как бы вы спроектировали систему контекстного поиска для ИИ-агента, которая должна обрабатывать миллионы обновлений CRM-данных в реальном времени?

Оценка опыта работы с Java и понимания производительности.

С какими наиболее сложными проблемами производительности в Java-сервисах вы сталкивались и как вы их решали в высоконагруженной среде?

Проверка понимания специфики ИИ-инфраструктуры.

Расскажите о вашем опыте работы с векторными базами данных или пайплайнами для генерации эмбеддингов. Какие критерии вы используете для оценки качества извлечения данных?

Оценка платформенного мышления.

Как вы подходите к проектированию API, которые будут использоваться множеством других продуктовых команд? Как обеспечить гибкость без потери производительности?

Проверка навыков обеспечения надежности.

Опишите ваш подход к обеспечению наблюдаемости (observability) в сложных распределенных системах обработки данных. Какие метрики для вас наиболее критичны?

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