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zoominfo
Страна
США
Зарплата
140 000 $ – 220 000 $
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SeniorУдалённоПолная занятость

Senior Software Engineer

Оценка ИИ

Отличная вакансия в публичной технологической компании с прозрачной вилкой зарплаты и современным стеком. Высокий балл за возможность работать на острие технологий (AI/LLM) в масштабах Big Data и удаленный формат работы в США.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена требованием 9+ лет опыта и необходимостью глубоких знаний как в распределенных системах (Highload), так и в современных AI-технологиях (LLM, RAG). Роль предполагает работу с огромными объемами данных (десятки миллиардов событий) и владение широким стеком технологий от Kafka до ClickHouse.

Анализ зарплаты

Медиана185 000 $
Рынок150 000 $ – 230 000 $
Оценка ИИ

Предложенная вилка $140k – $220k полностью соответствует рыночным стандартам для Senior/Staff инженеров в США. Нижняя граница типична для удаленных позиций в регионах с умеренной стоимостью жизни, а верхняя ($220k) конкурентоспособна даже для Tier-1 компаний.

Сопроводительное письмо

I am writing to express my strong interest in the Senior Software Engineer position at ZoomInfo. With over 9 years of experience in backend and data infrastructure, I have a proven track record of building high-throughput distributed systems and real-time event processing pipelines. My background in developing scalable microservices and working with technologies like Kafka, ClickHouse, and DynamoDB aligns perfectly with the technical challenges of your Advertising and Identity team.

I am particularly excited about ZoomInfo's integration of LLMs and agentic frameworks like LangGraph into core data products. In my previous roles, I have focused on optimizing data modeling for large-scale systems and am eager to apply my expertise in applied AI to enhance your real-time marketing platform. I am a high-ownership engineer who thrives in fast-paced environments and enjoys mentoring teammates to drive collective technical excellence.

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Присоединяйтесь к ZoomInfo и создавайте будущее маркетинговых платформ на стыке Big Data и LLM!

Описание вакансии

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast.

As a Senior Software Engineer on our Advertising, Company Intelligence, and Intent team, you’ll help design and implement the core systems that power our real-time marketing platform. From high-throughput ad infrastructure to large-scale identity resolution and intelligent systems enhanced by LLMs, push the boundaries of scale, intelligence, and speed—and deliver real-world business impact.

You’ll be joining a team with a broad range of ambitious, technically deep projects—from APIs that process tens of billions of events per day, to new buyer intent algorithms powered by LLMs, to a unified B2B identity graph. Depending on your strengths and interests, you’ll be matched to the initiatives where you can have the greatest impact.

This is a high-growth, high-ownership environment operating at the edge of what’s possible in modern software engineering, data infrastructure, and applied AI.

What You'll do:

  • Design and build distributed systems that process, enrich, and respond to billions of behavioral events per day in real time
  • Develop high-performance APIs and services that support advertising, identity, and intent features across the Marketing Platform
  • Leverage machine learning and large language models (LLMs) to analyze behavioral data, classify content, extract signals, and enable intelligent decision-making
  • Build intelligent agents using frameworks like LangGraph or MCP to reason over data and power user-facing insights
  • Design and operate data pipelines using tools like Kafka, Kinesis, and ClickHouse to support both streaming and batch workloads
  • Drive quality, performance, scalability, and observability across all systems you own
  • Collaborate cross-functionally with product managers, data scientists, and engineers to deliver customer-facing features and internal tooling
  • Contribute to technical leadership and mentorship of teammates.

What you bring:

  • 9+ years of backend, data, or infrastructure engineering experience, or equivalent impact and leadership.
  • Distributed systems engineering (e.g., building low latency high and throughput APIs, scalable microservices, event processing pipelines)
  • Big data infrastructure (e.g., streaming, warehousing, low-latency storage at scale)
  • Applied AI/ML, including use of LLMs for extraction, classification, or reasoning tasks.
  • Proficiency in one or more core languages: Java, Go, Python
  • Solid grasp of SQL and large-scale data modeling
  • Familiarity with databases and tools such as: ClickHouse, DynamoDB, Bigtable, Memcached, Kafka, Kinesis, Firehose, Airflow, Snowflake
  • Comfortable using LLMs as part of your development workflow—whether via tools like Copilot, Cursor, ChatGPT, Claude, or others—to boost productivity, explore architecture ideas, and rapidly prototype.
  • Skilled at designing and implementing LLM-powered systems such as RAG pipelines, agent frameworks (e.g., LangGraph), or intelligent workflows that reason across large datasets in real time.

Bonus Points:

  • Experience in ad tech, real-time bidding (RTB), or programmatic systems
  • Background in identity resolution, attribution, or behavioral analytics at scale
  • Contributions to open source in ML, infrastructure, or data tooling
  • Strong product instincts and a passion for building tools that drive meaningful outcomes

#LI-SK1

#LI-Remote

Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive.

In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here.

Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply.

$140,000—$220,000 USD

About us:

ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.

ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information.

ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.

ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.

For 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. ZoomInfo does not administer lie detector tests to applicants in any location.

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Навыки

  • Java
  • Go
  • Python
  • SQL
  • Kafka
  • ClickHouse
  • DynamoDB
  • BigTable
  • Snowflake
  • Airflow
  • Machine Learning
  • Large Language Models
  • Distributed Systems
  • Microservices
  • Amazon Kinesis
  • Redis
  • LangGraph

Возможные вопросы на собеседовании

Проверка опыта работы с высоконагруженными системами, упомянутыми в описании (десятки миллиардов событий).

Расскажите о самой сложной проблеме масштабируемости, с которой вы столкнулись при проектировании систем обработки событий в реальном времени. Как вы её решили?

Вакансия делает упор на использование LLM для анализа данных и создания агентов.

Как бы вы спроектировали RAG-систему для работы с B2B данными ZoomInfo, чтобы минимизировать галлюцинации и обеспечить актуальность информации?

В стеке указаны Kafka и ClickHouse. Важно понимать навыки работы с хранилищами данных.

В каких случаях вы выберете ClickHouse вместо DynamoDB для хранения аналитических данных, и как вы обеспечите консистентность при передаче данных через Kafka?

Роль Senior предполагает лидерство и менторство.

Опишите случай, когда вам пришлось убеждать команду или руководство принять непопулярное техническое решение. Каков был результат?

Упоминается использование AI-инструментов (Copilot, Cursor) в разработке.

Как использование LLM в вашем ежедневном рабочем процессе изменило ваш подход к проектированию архитектуры и написанию кода за последний год?

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zoominfo
Страна
США
Зарплата
140 000 $ – 220 000 $