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LeadГибридПолная занятость

Engineering Team Lead - Application Infrastructure

Оценка ИИ

Gong — это быстрорастущий 'единорог' с сильной инженерной культурой. Позиция предлагает реальное влияние на архитектуру всей компании и работу с современным стеком технологий (AI, Kafka, AWS).


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена требованиями к глубокому техническому бэкграунду (8+ лет) и опыту лидерства. Кандидат должен быть экспертом в Java/Spring Boot и одновременно разбираться в сложных распределенных системах и облачной инфраструктуре AWS.

Анализ зарплаты

Медиана165 000 $
Рынок140 000 $ – 190 000 $
Оценка ИИ

Предлагаемая роль Team Lead в Тель-Авиве соответствует верхнему эшелону рынка. Зарплаты в Израиле для таких позиций значительно выше средних по Европе и сопоставимы с ведущими хабами США.

Сопроводительное письмо

I am writing to express my strong interest in the Engineering Team Lead - Application Infrastructure position at Gong. With over 8 years of experience in backend engineering and a proven track record of leading high-performing teams, I am excited by the opportunity to shape the core frameworks that power Gong's Revenue AI Operating System. My deep expertise in Java, Spring Boot, and distributed systems aligns perfectly with your mission to provide foundational building blocks for engineering velocity.

Throughout my career, I have specialized in optimizing complex data layers and managing large-scale messaging pipelines using Kafka and AWS. I am particularly drawn to Gong's 'Own. Solve. Impact.' philosophy, as I believe that empowering engineers with ownership is the key to building resilient and scalable products. I look forward to the possibility of bringing my technical leadership and passion for architectural excellence to your team in Tel Aviv.

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Откликнитесь в gongio уже сейчас

Присоединяйтесь к Gong, чтобы возглавить разработку инфраструктуры, которая меняет правила игры в сфере Revenue AI!

Описание вакансии

Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io.

At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career.

As an Application Infrastructure Team Lead, you’ll spearhead the development of the core frameworks and services that power our entire ecosystem. In this role, you’ll sit at the vital intersection of application development and systems engineering, ensuring our platform remains resilient, high-performing, and developer-friendly as we scale.

If you are a technical heavyweight who loves Java but thrives on leading teams through complex data and infrastructure puzzles, this is your opportunity to build the foundation for our next phase of growth.

You’ll Own:

  • Team leadership & mentorship: Guiding a high-performing engineering team and fostering a culture of ownership and excellence.
  • Core application infrastructure: Designing and maintaining mission-critical frameworks using Java and Spring Boot.
  • Technical standards: Defining and enforcing the benchmarks for code quality, system performance, and security across the entire stack.
  • Streaming & messaging pipelines: Owning the reliability and scalability of asynchronous communication using Kafka or SQS.

You’ll Solve:

  • Data layer optimization: Leading specialists to tackle challenges in high availability and performance across PostgreSQL, MongoDB, OpenSearch, and Redis.
  • Distributed systems complexity: Designing robust pipelines for asynchronous communication and data streaming at scale.
  • Architecture gaps: Bridging the gap between DevOps and Product teams to align infrastructure capabilities with evolving business needs.

You’ll Impact:

  • Engineering velocity: Providing the foundational building blocks that empower all product engineering teams to build faster and better.
  • System reliability: Ensuring the high availability, scalability, and security of mission-critical systems.
  • Technical culture: Driving a mindset of continuous improvement and technical excellence that resonates across the R&D organization.

How You’ll Succeed Here:

  • You are a seasoned leader with 8+ years of hands-on technical experience, with at least 2+ years of experience leading engineering teams in a fast-paced environment.
  • You have deep, hands-on experience with Java & Spring Boot, building complex, large-scale server-side applications (this is a must).
  • You possess deep knowledge in at least one of the following: PostgreSQL, OpenSearch, Redis, MongoDB, SQS, or Kafka, and you know how to lead engineers to get the best out of these tools.
  • You are highly proficient with AWS services and understand how to leverage cloud infrastructure to build resilient systems.
  • You can see the big picture, balancing the need for immediate delivery with long-term architectural health and scalability.
  • You excel at communicating complex technical concepts clearly to both technical and non-technical stakeholders and at building consensus across teams.
  • You hold a Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.

\We operate in a flexible hybrid work model.*

What makes Engineering at Gong unique?

Here at Gong, we trust and empower our employees with ownership to solve complex problems, make the right decisions, and build the best products that create radical impact. We call this “Own. Solve. Impact.”  For our engineers, it means being involved and able to influence the entire process to create the best product. If you are curious to discover Gong's wonderful and challenging world, what are you waiting for? Don’t delay - fill in your application details. Who knows, maybe there’s a Gongster in you!

About us

We encourage our employees to express their personality and identity (whether gender, ethnic, religious, or sexual), and we ensure fairness and equal opportunities. We follow a hybrid working model that combines working from home, on the go, or at the office. This allows us: flexibility, autonomy, positive work relationships, and effective work habits. If these considerations are important to you when choosing a workplace, we'd love to see you with us. To review Gong's privacy policy, visit www.gong.io/privacy-policy/for more details.

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Навыки

  • Java
  • Spring Boot
  • Kafka
  • PostgreSQL
  • MongoDB
  • Redis
  • OpenSearch
  • Amazon Web Services
  • Distributed Systems
  • Microservices

Возможные вопросы на собеседовании

Проверка опыта управления командой и разрешения конфликтов в технической среде.

Опишите ситуацию, когда вам пришлось принимать непопулярное архитектурное решение. Как вы убеждали команду и стейкхолдеров?

Оценка глубоких знаний Java и Spring Boot в контексте высоконагруженных систем.

С какими наиболее сложными проблемами производительности в Spring Boot приложениях вы сталкивались и как их решали на уровне JVM или конфигурации?

Проверка навыков проектирования отказоустойчивых систем.

Как бы вы спроектировали систему обработки сообщений через Kafka, чтобы гарантировать доставку 'хотя бы один раз' при экстремальных нагрузках?

Оценка умения работать с данными и оптимизировать хранилища.

В каких случаях вы бы предпочли MongoDB вместо PostgreSQL для инфраструктурного сервиса, и какие риски это несет?

Проверка понимания роли инфраструктурной команды в масштабировании R&D.

Как вы измеряете успех команды Application Infrastructure? Какие метрики, помимо аптайма, вы считаете ключевыми?

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