Задачи:
— Администрирование СУБД (ClickHouse / PostgreSQL): установка, настройка, мониторинг;
— Оптимизация производительности: память, планировщик, индексы, партиционирование, политика хранения данных в ClickHouse;
— Резервное копирование и восстановление данных (бэкапы, развертывание);
— Анализ нагрузки и логов: поиск медленных запросов, блокировки, контроль производительности;
— Конфигурация внутренних стендов для разработки и типовых решений под задачи клиентов.
Требования:
— Опыт администрирования ClickHouse или PostgreSQL: мониторинг, бэкапы, восстановление;
— Настройка производительности: память, планировщик, индексы, партиционирование, storage policy, анализ медленных запросов и блокировок;
— Конфигурация СУБД под стенды разработки и клиентские проекты.
Условия:
— Все преимущества надежной ИТ-компании с аккредитацией Минцифры;
— Гибридный или удаленный режим работы;
— Гибкое начало дня с 9 до 11;
— Отсутствие бюрократии и микро-менеджмента;
— Участие в программе лояльности BestBenefits;
— Скидки от партнеров: World Class, Eduson, М-Видео, Инвитро, Иви и др.;
— ДМС по корпоративным тарифам;
— Дресс-код, который ограничивается здравым смыслом — с тату и зелеными волосами можно.
Задачи:
— Проектирование, разработка и сопровождение ETL/ELT-процессов с использованием Python и Apache Airflow.
— Разработка распределённых процессов пакетной обработки данных с использованием Apache Spark (PySpark), Trino и Apache Iceberg.
— Проектирование, построение и оптимизация аналитических витрин данных в ClickHouse и PostgreSQL с использованием dbt.
— Организация загрузки данных из реляционных баз данных, брокеров сообщений и внешних REST API.
— Анализ и оптимизация производительности SQL-запросов, партиционирования таблиц и хранения данных.
— Внедрение автоматизированных проверок качества данных, механизмов оповещения и процессов CI/CD для развертывания решений.
Требования:
— Практический опыт эксплуатации Apache Airflow, Spark (PySpark), ClickHouse и PostgreSQL в промышленной среде.
— Знание Trino и Apache Iceberg будет преимуществом.
— Уверенное владение Python и продвинутый уровень SQL, включая индексацию и анализ планов выполнения запросов.
— Опыт работы в области Data Engineering от 3 лет, включая разработку сквозных конвейеров обработки данных и аналитических витрин.
— Уверенный опыт работы с dbt для трансформации, тестирования и моделирования данных.
Условия:
— Официальное трудоустройство.
— Ежегодный трудовой отпуск + 2 оклада.
— Профессиональный рост и развитие.
— Участие в архитектурных решениях.
— График работы: 5/2, с 08:00 до 17:30.
— Место работы: г. Астана, EXPO C2.3.
Задачи:
— Управлять командой разработчиков: координировать и декомпозировать задачи, контролировать технические решения и проводить code review.
— Помогать команде решать сложные технические задачи.
— Развивать и технологически совершенствовать систему анализа больших данных.
— Участвовать в архитектурных решениях: проектировать API, разрабатывать сервисы и бизнес-логику.
— Проектировать и системно внедрять новые решения.
— Отвечать за производительность, качество и устойчивость решений.
— Заниматься развитием и ростом команды.
Требования:
— От 5 лет коммерческой разработки на Python в Backend / Fullstack.
— От 3 лет опыта руководства командой.
— Уверенное знание Python 3.8+, asyncio, FastAPI и инструментов экосистемы: poetry/pdm, nox/tox, blake.
— Продвинутый уровень Linux.
— Хорошее знание SQL, опыт работы с PostgreSQL и ClickHouse.
— Базовые знания ML.
— Английский на уровне чтения технической и научной литературы.
— Сильные коммуникационные навыки: умение объяснять сложные технические решения и находить общий язык с командой.
Будет плюсом:
— Опыт работы с системами обработки больших объёмов данных.
— Опыт внедрения AI-решений в разработку.
— Знание Go.
— Глубокое понимание микросервисной архитектуры, REST, observability и масштабирования.
— Опыт работы с fastMCP и агентными системами.
— Опыт реализации AI-решений: RAG, агенты и другие.
Условия:
— Масштабный проект с практическим применением технологий анализа больших данных.
— Обучение: семинары, курсы и тренинги от НИУ ВШЭ, английский язык.
— Гибридный формат в Москве или удалённая работа по РФ.
— Гибкое начало рабочего дня с 8:00 до 11:00.
— Софинансирование ДМС.
— Программы лояльности от крупных фитнес-клубов и театров Москвы.
— Доступ к библиотеке НИУ ВШЭ, электронным и аудиокнигам «МИФ».
— Офис на Мясницкой рядом с метро.
— Скидки в «Даблби», «Ska vi fika?» и «Буквышке» для сотрудников НИУ ВШЭ.
ГибридseniorМосква
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Задачи:
— построение ETL-процессов: разработка и настройка конвейеров по сбору и трансформации данных из различных источников;
— работа с современным стеком трансформации: освоение и применение DBT для превращения «сырых» данных в чистые аналитические витрины;
— оркестрация данных: настройка и поддержка рабочих процессов (pipelines) в Dagster для своевременного и безошибочного обновления данных в отчетах;
— управление хранилищами: работа с Postgres и высокопроизводительной колончатой базой данных Clickhouse для обеспечения скорости работы отчетов;
— визуализация смыслов: разработка интерактивных BI-отчетов в Apache Superset для поддержки бизнес-решений;
— оптимизация выборок: анализ и ускорение тяжелых запросов для повышения производительности системы отчетности.
Требования:
— уверенное владение SQL (сложные выборки, агрегатные функции, оптимизация запросов);
— понимание устройства реляционных баз данных, в частности PostgreSQL, и принципов построения аналитических хранилищ;
— базовые знания Python, умение писать скрипты для обработки данных и автоматизации простых задач;
— аналитический склад ума, способность работать с большими массивами данных, выявлять закономерности и структурировать информацию.
Желательный опыт:
— опыт создания дашбордов в BI-инструментах (Apache Superset, Tableau, Power BI или аналогичных);
— понимание концепций ETL/ELT;
— понимание архитектуры данных, разницы между OLTP и OLAP системами (например, использование Clickhouse для аналитики);
— интерес к современным инструментам DBT и оркестраторам данных (Airflow, Dagster).
Условия:
— срочный трудовой договор на 3 месяца;
— график 5/2, не более 30 часов в неделю;
— возможна удалённая, офисная или гибридная работа;
— стажировка доступна студентам любых ВУЗов и форм обучения, включая заочную и магистратуру.
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations
Hybrid | Austin, San Francisco
About the Role
Cloudflare's Senior Forward Deployed Infrastructure Engineers work where Cloudflare's infrastructure meets customer impact.
As a Forward Deployed Infrastructure Engineer, you will be embedded with one of Cloudflare's most strategic customers, collaborating to ensure modern cloud compute capacity is available, reliable, and ready when needed. You will guide new capacity from delivery to production, partnering with Cloudflare's data center and hardware teams to ensure systems pass validation, come online smoothly, and uphold Cloudflare's high standards.
You will serve as a bridge connecting Cloudflare's infrastructure, hardware, and data center teams with the customer's engineering organization. You'll ensure teams work from a shared vision, clear operational roadblocks, and feed real-world insights back into how Cloudflare builds and evolves its platform.
This role is ideal for engineers who want to:
Stay deeply technical and hands-on with real production infrastructure.
Guide outcomes from hardware delivery through running workloads.
Shape how Cloudflare delivers compute capacity at scale.
Build long-term, trust-based partnerships with world-class engineering teams.
Responsibilities
Capacity Onboarding & Delivery:
Lead bringing new compute capacity online for the customer, collaborating on planning, provisioning, validation, and handover to production. Drive turn-ups that are predictable, efficient, and repeatable.
Hardware & Spec Validation:
Partner with teams to ensure delivered systems meet agreed specifications. Define acceptance criteria and validation workflows, including burn-in, benchmarking, and health checks across compute, storage, and networking. Work alongside on-site data center teams to execute checks and resolve issues.
Standards & Operational Readiness:
Champion Cloudflare's build, configuration, security, and observability standards prior to capacity launch. Ensure comprehensive monitoring, alerting, and runbooks are established for all production systems.
Cross-Team Alignment:
Act as the central point of collaboration between Cloudflare's infrastructure, hardware engineering, data center operations, supply chain, and network teams, alongside the customer's engineering group.
Technical Accountability:
Serve as the primary technical point of contact for the customer's infrastructure, guiding account strategy and technical direction for supporting Cloudflare resources.
Reliability & Incident Response:
Engage in operational rhythms with the customer and Cloudflare, including standups, capacity reviews, change management, and incident response. Facilitate blameless root-cause analysis and post-incident improvements
.
Automation & Tooling:
Develop production-quality automation and tooling for provisioning, validation, and fleet management to continually improve rollout efficiency.
Capacity Planning & Forecasting:
Partner with the customer to understand future demand, forecast capacity needs, and proactively identify constraints.
Feedback Loop & Product Influence:
Surface real-world operational issues and platform opportunities with Cloudflare's Infrastructure, Hardware, and Product teams to inform future roadmaps.
Strategic Relationship Management:
Cultivate trusted technical relationships with senior stakeholders (Staff+ engineers, Directors, and VPs) across both organizations.
On-Site Presence:
Spend time regularly on-site at customer offices to foster close communication and partnership with their engineering teams.
Desirable Skills, Knowledge, and Experience
At Cloudflare, we know that great candidates come from diverse backgrounds with non-linear paths. You don’t need to tick every single box to be right for this role. If you are excited about building a better Internet and ready to make an impact, please apply.
Infrastructure & SRE Background:
Solid experience in infrastructure engineering, SRE, or production engineering, with a track record of running and scaling large-scale production systems.
Capacity & Fleet Operations:
Practical experience bringing server capacity online, encompassing provisioning, imaging, configuration management, and fleet-scale lifecycle management.
Hardware Fluency:
Familiarity with server hardware, firmware, BMC/IPMI/Redfish, and diagnostics. Ability to set validation standards, triage issues remotely, and partner with on-site technicians. Experience with GPUs or specialized accelerators is a plus.
Linux & Networking:
Strong understanding of Linux systems and core networking principles (TCP/IP, BGP, DNS, load balancing, and data center topologies).
Automation & Development:
Proficiency in languages such as Go, Python, or Rust, along with experience using infrastructure-as-code and configuration management tools (e.g., Terraform, Ansible, Salt).
Production Ownership:
Experience supporting mission-critical services, including on-call rotations, incident response, SLO management, and reliability engineering.
Observability:
Familiarity with monitoring, metrics, and logging frameworks (e.g., Prometheus, Grafana, ClickHouse) to maintain system health proactively.
Containers & Orchestration:
Exposure to Kubernetes or similar platforms and workload scheduling on newly provisioned capacity.
AI-Augmented Workflows:
Interest or experience in leveraging modern AI tools to streamline automation, debugging, and documentation.
Program-Level Coordination:
Demonstrated ability to coordinate complex, multi-team delivery efforts across regions and time zones with clear communication and alignment.
Proactive Problem-Solving:
A self-motivated approach to identifying bottlenecks—whether technical or procedural—and collaborating with partners to implement durable fixes.
Stakeholder Communication:
Ability to engage comfortably in strategic technical discussions with executive-level stakeholders, translating infrastructure context into business outcomes.
Bonus Points
Prior experience at a hyperscaler, cloud provider, or large-scale data center environment.
Familiarity with Cloudflare's platform and network architecture.
Experience in customer-embedded or partner-facing technical infrastructure roles.
A history of sharing knowledge, such as technical writing, internal mentorship, open-source contributions, or community presentations.
Compensation
Compensation may be adjusted depending on work location.
For Bay Area based hires: Estimated annual salary of $194,000 - $266,000.
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Задачи:
— Проектирование и оптимизация ClickHouse: MergeTree, партиционирование, TTL, шардирование, репликация, бэкапы в S3.
— ETL/ELT и оркестрация с использованием Airflow, dbt, обеспечение качества данных, тестирование, мониторинг свежести данных, data contracts.
— Управление командой: найм, онбординг, развитие, performance review, процессы разработки, roadmap, OKR, бюджет.
— Взаимодействие с бизнесом и Data Governance: сбор требований, приоритизация, коммуникация с C-level, каталог данных, lineage, соблюдение GDPR/152-ФЗ, разграничение доступа.
Условия:
— Удалённая работа из любой точки мира.
— Конкурентная зарплата и performance премия 2 раза в год.
— Гибкий график с фокусом на результат.
— Оплата обучения, курсов и конференций.
— Возможность влиять на продукт и команду.
ИТ-компания работает над сложными веб-приложениями с высокими требованиями к качеству.
Роль включает тестирование, координацию подгруппы, наставничество и участие в приёмочных испытаниях.
Требования:
— Базовые знания в области тестирования и от 3 лет опыта функционального тестирования веб-приложений и проверки документации.
— Опыт работы с OpenAPI-спецификациями и брокерами сообщений, включая Kafka, ActiveMQ и аналогичные решения.
— Опыт эксплуатации NoSQL-баз данных: Cassandra, ClickHouse, HBase.
— Практическое использование ELK-стека.
— Базовое понимание HTML, XML, CSS, JSON и начальные навыки работы в терминале Linux.
— Знание классификации и подходов к тестированию, уверенное применение техник тест-дизайна.
— Опыт формирования тестовой документации: тест-планов, чек-листов, тест-кейсов, матриц покрытия требований, отчётов о тестировании и ПМИ.
— Умение рассчитывать трудозатраты на тестирование.
— Дополнительно: сложные SQL-запросы, базовое владение Java, JavaScript и Python, начальные навыки создания автоматизированных тестовых сценариев, опыт нагрузочного тестирования в JMeter, практическое использование Git и других систем контроля версий.
Задачи:
— Анализировать и проверять требования к ПО и сопутствующую документацию.
— Оценивать трудозатраты, планировать тестовые работы и обеспечивать оптимальное тестовое покрытие.
— Руководить выполнением объёмных задач в подгруппе, декомпозировать их и контролировать сроки.
— Организовывать взаимодействие внутри подгруппы и с командой, разрешать спорные вопросы с разработчиками и аналитиками.
— Собирать данные о статусе тестирования и проблемах, готовить отчёты.
— Совместно с аналитиками готовить ПМИ.
— Участвовать в приёмочных испытаниях, наставлять менее опытных коллег и совершенствовать процесс тестирования.
— При необходимости исполнять функции руководителя группы тестирования.
Location: United Kingdom; Poland; Portugal; France; Spain; Germany; Italy; The Netherlands
Workplace: Remote
Recognised 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 AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists.
WHAT YOU WILL DO
- Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform.
- API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services.
- Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools.
- Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation.
- Oncall: Participate in the daytime oncall rotation along with the rest of the team.
- ML Engineering: Own the ML pipeline end to end (data, training, evaluation), and fine-tune or train custom models when off-the-shelf ones fall short. Track the state of the art closely enough to apply what genuinely improves our products.
WHAT YOU WILL BRING ALONG
- 5+ years of software engineering experience in production environments
- Exposure to working directly with AI/ML technologies
- Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases
- A high level of ownership and can drive features from concept to production with minimal supervision
- Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders
- Applied ML experience in Python (Jupyter, PyTorch, common ML libraries), hands-on with compute clusters (Ray, Slurm), and designs trustworthy experiments to drive architectural decisions
Nice to have
- Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment
- Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus
- Experience with embedding-based systems (retrieval, ranking, recommenders) and the representation-learning ideas underneath them
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new eligible team member who joins our company receives equity.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$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 a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true 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 https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Задачи:
— Проектирование и реализация backend- и frontend-частей веб-приложений и внутренних систем
— Разработка async API и сервисов на Python (Litestar, FastAPI)
— Проектирование моделей данных, схем БД и миграций
— Работа с аналитическими нагрузками: тяжёлые запросы, агрегации, оптимизация под OLAP
— Проработка бизнес-логики и доменных моделей (DDD), слоистая архитектура
— Интеграция сервисов между собой: gRPC, брокеры сообщений, фоновые задачи
— Контейнеризация сервисов и настройка окружений (Docker, GitLab CI)
— Разработка пользовательских интерфейсов на React + TypeScript
— Интеграция фронтенда с backend-API, кодогенерация клиента из OpenAPI, обработка edge-кейсов
— Разработка и поддержка переиспользуемых UI-компонентов
— Участие в проектировании архитектуры приложений и выкатка своего кода в прод
Требования:
— Опыт коммерческой разработки от 3 лет, из них год+ в роли fullstack
— Python 3.12+, полная типизация
— Litestar или FastAPI, Pydantic v2, Dishka
— SQLAlchemy 2.0, Alembic, asyncpg
— PostgreSQL: индексы, план запроса, оконные функции, оптимизация тяжёлых запросов
— Опыт хотя бы с одним аналитическим или поисковым хранилищем: ClickHouse, Elasticsearch, Neo4j
— Слоистая архитектура, DDD
— Git, Docker, GitLab CI (или аналог)
— Фоновые задачи и очереди: taskiq или Celery, NATS, Redis
— React 19, TypeScript, Vite, bun
— TanStack Router, TanStack Query, TanStack Table, Zustand, react-hook-form, zod
— Компонентные библиотеки: Mantine 8 либо Tailwind 4 + Radix/shadcn
— Feature-Sliced Design или другая явная слоистая структура фронтенда
— HTML, CSS, component-based подход
— Системное мышление, внимание к качеству кода, самостоятельность в проработке задачи
Будет плюсом:
— structlog, uv, ruff, pytest с async-тестами
— gRPC (grpclib, betterproto2)
— MinIO / S3
— Интеграция self-hosted LLM через OpenAI-совместимый API, pydantic-ai
— Ansible, Terraform, Grafana
— Biome, кодогенерация API-клиента (@hey-api/openapi-ts)
— motion, ECharts / Recharts, графовые визуализации
— vitest, Playwright
Условия:
— Полная занятость, работа в офисе
— Влияние на архитектуру backend- и frontend-частей продукта
— Собственная инфраструктура on-premise, современный стек без легаси
— Конкурентная заработная плата, обсуждается по итогам собеседования
Location: Worldwide
Workplace: remote
We are looking for a Data Engineer to join our team.Requirements: 3+ years of experience in data engineering; Strong SQL: complex analytical queries and query optimization; Strong Python: solid fundamentals and hands-on experience with DE libraries (e.g., pandas, SQLAlchemy, PySpark); Software engineering background: you write production-grade Python, not just scripts (OOP, app architecture, testing, Git, CI/CD); Hands-on experience with Airflow (building and maintaining DAGs); Experience with dbt (models, tests, macros); ClickHouse: table engines, Materialized Views, performance tuning; Kafka: producers/consumers, topics and partitioning, delivery guarantees; Experience with data quality tools (e.g., dbt tests, Great Expectations, Soda); Solution-oriented mindset and ownership of results.Responsibilities: Support and develop our in-house data enrichment solution built on event sourcing; Build production-ready data marts using Airflow, dbt, and ClickHouse Materialized Views; Implement data quality checks for Airflow DAGs and ClickHouse MVs; Automate repetitive tasks and establish Data Engineering best practices and standards; Write and maintain technical documentation.We offer:High salary (plus performance bonuses and salary revision);Remote work;Work schedule: Mon-Fri (8 hours per day) with flexible starting hours;24 days holiday leave;Corporate English lessons;Exciting work challenges that allow you to grow to your full potential;A strong team of like-minded professionals who will be by your side to accomplish ambitious projects, stimulate your professional development and bring experience.
Location: Limassol, Cyprus
We are looking for a Data Engineer to join our team.Requirements: 3+ years of experience in data engineering; Strong SQL: complex analytical queries and query optimization; Strong Python: solid fundamentals and hands-on experience with DE libraries (e.g., pandas, SQLAlchemy, PySpark); Software engineering background: you write production-grade Python, not just scripts (OOP, app architecture, testing, Git, CI/CD); Hands-on experience with Airflow (building and maintaining DAGs); Experience with dbt (models, tests, macros); ClickHouse: table engines, Materialized Views, performance tuning; Kafka: producers/consumers, topics and partitioning, delivery guarantees; Experience with data quality tools (e.g., dbt tests, Great Expectations, Soda); Solution-oriented mindset and ownership of results.Responsibilities: Support and develop our in-house data enrichment solution built on event sourcing; Build production-ready data marts using Airflow, dbt, and ClickHouse Materialized Views; Implement data quality checks for Airflow DAGs and ClickHouse MVs; Automate repetitive tasks and establish Data Engineering best practices and standards; Write and maintain technical documentation.We offer:High salary (plus performance bonuses and salary revision);Work schedule: Mon-Fri (9h with 1h lunch break), flexible start 8:00-10:00;24-days holiday leave;First line seaview from your office;Corporate English and Greek lessons;GYM and SPA in the office;Corporate meals;Eventful corporate life;Exciting work challenges that allow you to grow to your full potential;Strong team of like minded professionals who will be by your side to accomplish ambitious projects, and to stimulate your professional development and bring experience.
Location: New York; Detroit; Canada; Austin; Phoenix; Los Angeles; San Francisco; Dallas
Workplace: Remote
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 AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists.
WHAT YOU WILL DO
- Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform.
- API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services.
- Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools.
- Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation.
- Oncall: Participate in the daytime oncall rotation along with the rest of the team.
- ML Engineering: Own the ML pipeline end to end (data, training, evaluation), and fine-tune or train custom models when off-the-shelf ones fall short. Track the state of the art closely enough to apply what genuinely improves our products.
WHAT YOU WILL BRING ALONG
- 5+ years of software engineering experience in production environments
- Exposure to working directly with AI/ML technologies
- Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases
- A high level of ownership and can drive features from concept to production with minimal supervision
- Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders
- Applied ML experience in Python (Jupyter, PyTorch, common ML libraries), hands-on with compute clusters (Ray, Slurm), and designs trustworthy experiments to drive architectural decisions
Nice to have
- Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment
- Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus
- Experience with embedding-based systems (retrieval, ranking, recommenders) and the representation-learning ideas underneath them
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new eligible team member who joins our company receives equity.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$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 a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true 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 https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Задачи:
— Разрабатывать и совершенствовать платформу данных электронной коммерции нового поколения
— Проектировать и разрабатывать ETL пайплайны на Airflow для Spark (Batch, Streaming), Iceberg, Trino
— Оптимизировать действующие пайплайны и джобы на Spark, мониторить нагрузку на кластер и оптимальность ресурсов, при необходимости оптимизировать
— Взаимодействовать с аналитиками и ML специалистами для создания и развертывания инструментов и наборов данных, поддерживать связи с data ops для развития дата-платформы
— Анализировать и внедрять инструменты инжиниринга данных (Lineage, DQ)
— Проектировать хранилища данных на основе Kubernetes, настраивать производительность, мониторинг, планировать емкости кластера и инфраструктуры
— Решать задачи, связанные с внедрением облачной инфраструктуры, разрабатывать новую архитектуру хранилища
— Проводить code review и участвовать в архитектурных решениях по дата платформе
Требования:
— Понимание ресурсной модели Kubernetes, просмотр конфигураций, troubleshooting
— Опыт работы с Hadoop (HDFS, Hive Metastore)
— Опыт работы со Spark (spark SQL, streaming, понимание нюансов работы с pyspark)
— Владение процедурами, snapshots, maintenance Apache Iceberg
— Глубокое понимание Airflow (версии 2, 3), включая идемпотентность, assets, backfills
— Уверенное знание Git, CI/CD
— Знание Python, Scala/Java, ООП, проектирование библиотек, интеграционные и юнит тесты
— Хорошее понимание СУБД, SQL
Будет плюсом:
— Опыт работы с Docker для поднятия локального окружения проекта
— Опыт работы с Kafka, понимание архитектуры и слабых мест
— Опыт с облачными технологиями, преимущественно Yandex Cloud
— Опыт с Clickhouse
— AI-native подход к разработке: использование Claude Code / Codex и подобных инструментов, опыт построения harness-систем — агентов с инструментами, автоматизации через LLM, RAG
Задачи:
— улучшать рекомендации
— искать гипотезы
— прототипировать на GPU
— выкатывать в A/B-тесты
Требования:
— опыт 3+ года
— знание Python, SQL, Spark, Docker, Git, ClickHouse, Redis, Deep Learning
Условия:
— удалённая работа или офис
— фултайм
Задачи:
— Разработка, сопровождение и ревью ETL-процессов поставки данных.
— Создание конвейеров для извлечения, трансформации и загрузки данных из различных источников, настройка расписания и мониторинга.
— Регулярная проверка и улучшение существующего кода, оперативное исправление ошибок, тщательное документирование всех преобразований и потоков данных.
— Проектирование структуры хранения данных в разных слоях хранилища, разработка моделей данных, настройка партиционирования, индексации и сжатия для повышения производительности.
— Согласование структур с командами аналитики и разработки, адаптация схем при изменении бизнес-процессов.
— Выявление и оптимизация неэффективных участков в процессах поставки данных, анализ времени выполнения ETL-задач, профилирование данных для обнаружения аномалий и избыточности, пересмотр алгоритмов трансформации.
— Погружение в данные прикладных бизнес-областей, изучение бизнес-процессов и ключевых метрик компании, разбор логики расчёта показателей и источников их формирования.
Требования:
— Опыт проектирования DWH (слои, модели хранения данных, ETL-процессы).
— Разработка ETL-процессов на Apache Airflow или аналогах.
— Настройка поставок данных по API.
— Экспертное знание SQL.
— Программирование на одном из языков высокого уровня (Python, Go, Java и др.).
— Понимание устройства и архитектуры реляционных баз данных.
— Знание основных алгоритмов и структур данных, особенно применяемых в работе с большими данными.
Будет плюсом:
— Опыт работы с MPP-СУБД (Greenplum, ClickHouse, Vertica, Teradata и др.).
— Понимание принципов работы технологий распределённой обработки данных (Hadoop, MapReduce, MPP).
Условия:
— Работа с инфраструктурой и данными Яндекса, масштабные задачи.
— Влияние на эффективность ключевых бизнес-процессов.
— Возможность обмена опытом с ведущими специалистами отрасли и профессионального роста.
— Доступ к передовым технологиям и инструментам.
— Карьерные перспективы внутри одной из ведущих IT-компаний России.
Задачи:
— Разрабатывать кластеризованный on-premise build ClickHouse для собственной cloud-инфраструктуры
— Внедрять, масштабировать и поддерживать ClickHouse-кластеры в production
— Развивать DB-related инфраструктуру Data-платформы
— Автоматизировать инфраструктурные процессы и создавать внутренние tooling-решения
— Развивать и интегрировать ролевые модели для ClickHouse, Snowflake, PostgreSQL и других баз данных
— Проектировать naming conventions и пользовательские ролевые модели для баз данных
— Работать с MPP и distributed query stack, включая Trino, Greenplum, Vertica, StarRocks и другие технологии
— Участвовать в развитии производительности, надежности и масштабируемости Data-инфраструктур
Требования:
— 5+ лет опыта в DevOps / SRE / DataOps
— Глубокая практическая экспертиза в ClickHouse и опыт работы с ним в production
— Сильное понимание distributed systems, networking, storage и performance
— Опыт production troubleshooting и низкоуровневого тюнинга Linux / *nix-систем
— Опыт разработки инструментов автоматизации, предпочтительно на Python и/или Go
— Глубокое понимание основных принципов, технологий и инструментов Cybersecurity / AppSec
— Опыт работы с Karpenter
— Опыт оптимизации расходов AWS с использованием Kubecost, Infracost, AWS tagging и других подходов
— Опыт работы с ingress, балансировкой и терминацией трафика: Traefik, Istio, Nginx, SSL/TLS
— Опыт работы с Identity Management решениями: Authentik, Keycloak, Okta или аналогами
— Опыт работы с VPN-решениями: Pritunl, OpenVPN, WireGuard, Fortinet или аналогами
— Глубокое понимание как минимум одной аналитической БД, MPP-системы или distributed query engine: ClickHouse, StarRocks, Trino, Greenplum, Doris, DuckDB, Vertica или аналогов
Условия:
— Работа со сложной Data/ML-инфраструктурой и возможность влиять на ее архитектуру и развитие
— Высокий уровень технической автономии и среда без микроменеджмента
— Гибкий формат работы: удаленно или из офиса
— Гибкое начало рабочего дня с 9:00 до 11:00
— Поддержка релокации за счет компании
— Компенсация спорта и занятий английским языком
— Сессии с психологом и доступ к корпоративной библиотеке
— Возможности для профессионального развития и обмена технической экспертизой
— Командные мероприятия, тимбилдинги и мастер-классы
УдалённоseniorRemote или офис с релокацией за счет компании, поддержка профессионального развития и много свободы в технических решениях; Поддержка релокации за счет компании
Location: United States of America
What We Do:
Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact.
Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection.
Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other.
Reports to: Engineering Manager
Location: Remote US
Compensation Range: $200,000 - $220,000 base plus bonus and equity
What We Do:
Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact.
Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection.
Huntress now secures more than 5M endpoints and 11M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other.
What You’ll Do:
The Huntress team seeks a Staff Software Engineer to join our SOC Experience team. This team builds the human-analyst side of Huntress’ SOC platform: the investigation and triage experience analysts use to work a case, the remediation actions they take, the queues that route and prioritize incoming work, and the customer-facing reporting that closes the loop with customers. Your contributions will help Huntress improve analyst efficiency, reduce toil, and drive customer outcomes as we scale
protection for the 99%
.
As a Staff Software Engineer, you’ll provide technical leadership across this surface area: shaping architecture and design direction, converting ambiguous requirements into functional workflows and data models, raising the bar on code quality and testing, and mentoring engineers across the team. You’ll partner closely with Product, UX, and SOC stakeholders to turn operational pain points into reliable, auditable systems, and you’ll go deep in the code yourself. This is a full-stack role with real front-end weight: the analyst experiences you’ll build are data-dense, interactive interfaces, and you’ll set the bar for front-end quality as well as the back end.
Responsibilities:
Provide technical leadership across the SOC Experience surface area: investigation and triage experience, remediation actions, queues, and customer-facing reporting.
Lead and develop high-quality software, software designs, and architecture
Design and build analyst-facing interfaces end to end, from data model to browser, and set the standard for front-end quality (usability, performance, accessibility, reusable patterns) in partnership with UX
Set the standard for engineering excellence on the team through code review, test plan review, and hands-on pairing
Lead security-by-design reviews of designs and code
Focus on the full lifecycle of the systems you build, including evolution, configuration, and risk management, not just initial delivery
Share ownership of delivery, reliability, and uptime for the features you build, with observability and test automation built in
Mentor engineers across the team to help them grow into harder problems
Balance technical rigor with pragmatism: push back when a shortcut creates real risk, and push back on over-engineering when the goal is discovery or speed
Partner with Product, UX, and SOC stakeholders to turn operational pain points into reliable, auditable systems
What You Bring To The Team:
10+ years of experience developing complex software products
5+ years of programming in Ruby on Rails
Strong front-end fundamentals (JavaScript, HTML, CSS) and experience building complex interactive UIs with modern component-based frameworks; today’s stack is Hotwire, Turbo, and Stimulus, but you can reason outside that box
Experience with AWS or other public cloud environments, and Linux-based infrastructure
Experience with relational databases such as Postgres
Experience with AI coding tools, such as Claude Code
Preferred Qualifications:
Experience with ClickHouse
Experience building cybersecurity products, or building/operating a SOC platforms
Experience with Hotwire, Stimulus, Turbo
What We Offer:
100% remote work environment - since our founding in 2015
Generous paid time off policy, including vacation, sick time, and paid holidays
12 weeks of paid parental leave
Highly competitive and comprehensive medical, dental, and vision benefits plans
401(k) with a 5% contribution regardless of employee contribution
Life and Disability insurance plans
Stock options for
all
full-time employees
One-time $500 reimbursement for building/upgrading home office
Annual allowance for education and professional development assistance
$75 USD/month digital reimbursement
Access to the BetterUp platform for coaching, personal, and professional growth
Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are.
We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status.
We do discriminate against hackers who try to exploit businesses of all sizes.
Accommodations:
If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com. Please note that non-accommodation requests to this inbox will not receive a response.
If you have questions about your personal data privacy at Huntress, please visit our
privacy page
#BI-Remote
Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are.
We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status.
We do discriminate against hackers who try to exploit businesses of all sizes.
Accommodations:
If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to
accommodations@huntresslabs.com
. Please note that non-accommodation requests to this inbox will not receive a response.
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#BI-Remote
Location: India
Workplace: Remote
ABOUT CLICKHOUSE
Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With over 2,000 customers and ARR that has more than quadrupled over the past year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. We're on a mission to transform how companies use data. Come be a part of our journey!
ABOUT THE TEAM
The Managed Postgres team is building ClickHouse's fully managed Postgres service. It gives developers a fast, reliable Postgres that works natively alongside ClickHouse, so one platform covers both transactional and real-time analytical workloads. This is a strategic, high-visibility initiative, and the user experience we build will shape how thousands of developers create, manage, monitor, and scale their databases.
ABOUT THE ROLE
We're looking for a Full Stack Software Engineer to help build responsive, performant, and elegant interfaces that make complex database operations feel simple. You'll work closely with product, design, and backend engineers, and you'll learn from senior engineers while owning real features from day one.
WHAT YOU'LL DO
- Turn designs and user requirements into intuitive, high-quality interfaces for the Managed Postgres experience in ClickHouse Cloud.
- Build features end-to-end: React and TypeScript on the frontend, plus integration with (and contributions to) backend APIs.
- Build data-rich UIs for metrics, diagnostics, backups, replication, and performance insights.
- Contribute to click-ui, our open-source design system, and follow frontend best practices: code quality, performance, accessibility, and testing.
- Give product and design feedback from a developer's point of view.
ABOUT YOU
- Experience: 1–4 years in frontend or full-stack development.
- Core skills: Solid React, TypeScript, and modern frontend fundamentals (state management, component architecture, data fetching).
- Backend exposure: Comfortable working with REST APIs; Node.js, Go, or similar is a plus.
- Collaboration: You enjoy working closely with designers and backend engineers across a global team.
- Developer empathy: You care about fast, clear, purposeful UIs for technical users.
- Ownership: You take initiative, ask good questions, and carry work from idea to delivery.
- Growth mindset: You're keen to learn and grow your scope quickly.
NICE TO HAVE
- Experience with Postgres, SQL, or database tooling
- Accessibility (WCAG) knowledge
- Data visualization or dashboard experience
- Open-source contributions
WHY JOIN US
- Shape the future of the Postgres user experience inside one of the fastest-growing data platforms.
- Real ownership and autonomy from day one.
- Learn from experts in databases, distributed systems, and developer experience.
- Solve meaningful problems in performance, scale, and usability.
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new eligible team member who joins our company receives equity.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$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 a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true 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 https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
seniorСША; On-Site Presence:; Demonstrated ability to coordinate complex, multi-team delivery efforts across regions and time zones with clear communication and alignment
УдалённоUnited Kingdom; Poland; Portugal; France; Spain; Germany; Italy; The Netherlands
УдалённоNew York; Detroit; Canada; Austin; Phoenix; Los Angeles; San Francisco; Dallas
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