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Senior Cloud Performance Engineer
ClickHouse — лидер рынка с огромным ростом и отличной репутацией. Вакансия предлагает работу над сложными инженерными задачами, опционы и гибкую удаленную культуру, что делает её крайне привлекательной для Senior-специалистов.
Сложность вакансии
Высокая сложность обусловлена требованиями к глубоким знаниям распределенных систем, баз данных и Chaos Engineering. Роль предполагает не только разработку на Go/C++, но и экспертный анализ производительности на уровне ядра системы.
Анализ зарплаты
В объявлении не указана зарплата для Великобритании, но для Senior-позиций такого уровня в Cloud/Database компаниях рынок Лондона и удаленной работы в UK предлагает конкурентные условия. Учитывая наличие опционов (equity), совокупный доход может значительно превышать средние рыночные показатели.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Cloud Performance Engineer position at ClickHouse. With over 6 years of experience in building and optimizing large-scale distributed systems, I have developed a deep expertise in database benchmarking and system performance analysis. My background in Go and C++, combined with extensive experience in Kubernetes and AWS, aligns perfectly with your mission to transform the OLAP space through the ClickHouse Cloud Platform.
In my previous roles, I have successfully led technical projects focused on scalability and fault tolerance, which has prepared me to drive Chaos Engineering initiatives and performance tuning at ClickHouse. I am particularly drawn to this role because of ClickHouse's reputation for innovation in real-time analytics and the unique challenge of working on a serverless, limitless-scale platform. I am eager to bring my problem-solving skills and passion for efficiency to your globally distributed team.
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Описание вакансии
About ClickHouse
Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads.
The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.
We’re on a mission to transform how companies use data. Come be a part of our journey!
About the Team
The Cloud Engineering team is responsible for building the cloud native ClickHouse Cloud Platform that will transform the OLAP space. Our team is looking for exceptional performance engineers with a proven track record of understanding the performance limits of different distributed databases and create tools for measuring the performance and scalability of complex systems. The ideal candidate for this position is a distributed systems performance engineer with a strong background in database benchmarking, test automation, system engineering, performance analysis, and capacity management. This role is a unique opportunity to make a significant impact on our elastic, limitless scale, high-performance, server less ClickHouse Cloud.
What will you do?
- Benchmark system performance, database performance analysis, capacity sizing and optimization.
- Troubleshoot and debug applications, server errors, logs, and triage accordingly.
- Recommend configuration tuning/optimizations for performance bottlenecks.
- Work closely and partner with ClickHouse's core development team, cloud team, and security team to improve the performance of ClickHouse Cloud.
- Plan, enable, and drive Chaos initiatives across Engineering teams, based upon internal priorities
- Develop, deploy and manage tools to systematically run chaos experiments and measure impact
- Enjoy working on, and gaining a deep understanding of, large scale distributed systems
- Study the problems in the software resilience, operational, and delivery spaces
- Extend our entire backend to enable Chaos Engineering techniques in the system
- Observe running systems, and determine/prioritize innovative ways to disrupt them
About you:
- You have 6+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems.
- Software development experience in Go, C/C++, Java, or similar.
- Experience with concurrency, multithreading, and the deployment of distributed system architectures
- Experience developing cloud infrastructure services, preferably with Kubernetes.
- Experience leading and shipping large scope technical projects in collaboration with multiple experienced engineers.
- Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g. EC2).
- You have excellent communication skills and the ability to work well within a team and across engineering teams.
- You are a strong problem solver and have solid production debugging skills.
- You are passionate about efficiency, availability, scalability and data governance.
- You Thrive in a fast paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward.
- You have a high level of responsibility, ownership, and accountability
#LI-Remote
Compensation
For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed.
These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments.
An individual’s placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization.
If you have any questions or comments about compensation as a candidate, please get in touch with us at paytransparency@clickhouse.com.
Perks
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in 20 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A $500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
Culture - We All Shape It
As part of our first 500 employees, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here. Check out ourblog posts or follow us on LinkedIn to find out more about what’s happening at ClickHouse.
Equal Opportunity & Privacy
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here for our Privacy Statement.
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Навыки
- AWS
- Azure
- C++
- Multithreading
- Kubernetes
- Google Cloud Platform
- Distributed Systems
- Java
- Chaos Engineering
- Go
- Performance Analysis
- Database Design
- Benchmarking
Возможные вопросы на собеседовании
Проверка понимания специфики ClickHouse и работы с большими данными.
Как бы вы подошли к бенчмаркингу производительности ClickHouse Cloud в условиях переменной нагрузки (serverless)?
Оценка опыта в обеспечении отказоустойчивости.
Опишите ваш опыт внедрения практик Chaos Engineering: какие инструменты вы использовали и как измеряли результат?
Проверка навыков отладки сложных систем.
Расскажите о самом сложном случае деградации производительности в распределенной системе, который вы расследовали. Как вы нашли причину?
Оценка технических навыков работы с инфраструктурой.
Какие специфические метрики Kubernetes и облачного провайдера (например, AWS) наиболее критичны для мониторинга производительности OLAP-систем?
Проверка навыков оптимизации.
Как вы балансируете между стоимостью инфраструктуры (capacity sizing) и требованиями к минимальной задержке (latency) при настройке облачных сервисов?
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