Вакансии

Location: Москва Наша команда создает линейку продуктов на основе мультимодальной нейросетевой модели GigaChat, которая является одной из самых мощных и продвинутых моделей искусственного интеллекта, доступных на сегодняшний день. Мы создаем удобный и понятный сервис, позволяющий людям использовать GigaChat для решения повседневных задач и развлечения: поиск ответов на вопросы, работа с документами, создание контента, изучение языков, общение с персонажами и многое другое. Лучший проект в РФ на основе генеративной языковой модели, талантливые коллеги, эксперты своего дела, готовые помочь и словом, и делом. Обязанности * Разрабатывать ядро бэкенда. * Перфоманс-тюнинг сервисов и проектирование отказоустойчивых решений. * Проводить командное кросс-ревью. Минимум прикладного кода, максимум системного! Требования * пыт работы на Java 8–25 от 5 лет (на высоконагруженном коммерческом проекте от 3 лет). * Опыт использования Spring Framework (Spring MVC, Spring Security, Spring JDBC, Spring Boot). * Опыт использования ORM Hibernate, Apache Kafka. * Опыт работы с PostgreSQL и ClickHouse, с Java-профайлером. * Опыт в поиске утечек памяти (анализ Heap Dump). * Опыт работы с Concurrency, с анализаторами и планами SQL-запросов. * Опыт ускорения JUnit-тестов. * Опыт работы с партиционированием (секционированием) таблиц. * Опыт организации шардирования высоконагруженного сервиса. * Опыт и знания распределенных транзакций. * Опыт работы с Redis. Условия * Крупнейшее DS&AI community — более 600 DS-специалистов банка. * Дайджест о самых последних разработках в области DS&AI и отчеты с крупнейших конференций мира. * Возможность быть соавтором НИРов и статей для международных конференций. * Возможность выбрать удобный формат работы: гибрид или офис. * Ежегодный пересмотр зарплаты, годовая премия. * Корпоративный спортзал и зоны отдыха. * Более 400 образовательных программ СберУниверситета для профессионального и карьерного развития. * Расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа. * Вознаграждение за рекомендацию друзей в команду Сбера.

Location: Москва Мы разрабатываем и сопровождаем продукт Выписки и справки, позволяющий нашим клиентам быстро и легко получать различные документы и выписки по банковским продуктам, например, по дебетовым и кредитным картам, кредитам и вкладным счетам. Также мы работаем с информаций о продуктах дочерних организаций и создаем пакеты документов для помощи людям в различных жизненных ситуациях. Наши клиенты могут обращаться за документами в разные каналы и получать результат как в электронном виде, так и в виде бумажной копии в отделении Сбера. Наш продукт входит в TOP-5 самых популярных продуктов Банка в мобильном приложении. Мы представлены в трех каналах взаимодействия с клиентом: в мобильном приложении и web, в отделениях Банка, в рабочем месте сотрудников контактного центра. Мы активно развиваем ИИ-сценарии взаимодействия с клиентами в дополнение к традиционным сценариям. Мы предоставляем наш продукт в режиме 24/7. Подавляющее большинство документов клиенты получают в режиме онлайн. Мы ищем активного и требовательного лидера, который возглавит нашу команду сопровождения и будет совершенствовать процессы поддержки нашего высоконагруженного продукта. Обязанности * Управлять командой сопровождения клиентского продукта, ставить командные и личные цели, участвовать в выработке путей их достижения, контролировать результаты. * Сопровождать и обеспечивать бесперебойную работу систем, входящих в периметр продукта. Обеспечивать мониторинг сопровождаемых систем. Сопровождать тестовые ресурсы (стенды).  * Администрировать ИТ-услуги, входящие в периметр продукта. * Решать инциденты в сопровождаемых системах, в том числе искать и применять обходные решения. Выявлять первопричину инцидента и системно ее устранять.  * Участвовать в организации и проведении приемо-сдаточных и нагрузочных испытаний * Ставить перед командами разработки задачи по исправление ошибок, выявленных в ходе тестирования или эксплуатации системы. * Отслеживать эксплуатационные показатели по продукту и сопровождаемым системам, выявлять отклонения и формировать корректирующие мероприятия.  * Взаимодействовать со смежными системами для продукта системами, договариваться об SLA и контролировать его исполнение. Требования * Высшее техническое образование (предпочтительно в области информационных технологий) * Умение управлять командой и людьми, умение декомпозировать сложные задачи и определять приоритеты * Глубокое понимание современных ИТ-архитектур, контейнеризации (Kubernetes/OpenShift) * Знание специализированных инструментов и систем: Nginx, Kafka, Apache Ignite * Опыт работы с СУБД: PostgreSQL, Hadoop. Опыт с hbase как преимущество. * Навыки настройки и использования стека мониторинга: Prometheus, VictoriaMetrics, Grafana * Опыт работы с ServiceDesk (HP Service Manager) и таск-трекинговыми системами (Jira) * Знания в области информационной и кибербезопасности, включая вопросы надежности при проектировании и эксплуатации IT-систем Будет плюсом: * Знания по методологии ITIL, ITSM * Опыт внедрения и оптимизации процессов DevOps * Знания в области разработки и поддержки отказоустойчивых решений * Опыт работы с другими современными инструментами мониторинга и логирования * Умение быстро обучаться новым технологиям и подходам * Отличные коммуникативные навыки, умение работать в команде и вести переговоры с различными заинтересованными сторонами * Способность эффективно решать проблемы и принимать решения в условиях ограниченного времени * Аналитический склад ума, внимание к деталям Условия * комфортный современный офис рядом с м. Кутузовская * гибридный/офисный формат работы * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * бесплатная подписка СберПрайм, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Самара Мы разрабатываем ядро калькуляторов по всей продуктовой линейке Сбера — от онлайн-сервисов до систем потоковой обработки данных. Одно из ключевых направлений нашей работы — индивидуализация сотрудничества с клиентами: платформа для расчета ценообразования и оценки доходности сделок юридических лиц. Наша распределенная команда работает в Москве, Санкт-Петербурге и Самаре. Обязанности * сбор, анализ и формализация требований к системе * согласование требований с заинтересованными сторонами * передача требований в разработку и сопровождение реализации * консультации членов команды по бизнес-логике * согласование тестовых сценариев. Требования * высшее техническое/математическое/экономическое образование * опыт работы системным аналитиком от 3 лет * знание технологий интеграции (REST, Web Services, Kafka) * опыт описания API-контрактов (OpenAPI Specification) * умение работать с Jira и другими системами трекинга * знание SQL (DDL, DML) и основ работы с данными * опыт построения UML-диаграмм (sequence diagrams). Будет плюсом: * понимание BPMN нотации и Agile/Scrum принципов * опыт работы с ARIS или другими BPMS-системамами * знакомство с нереляционными БД * базовые знания машинного обучения * опыт работы в банковской сфере. Условия * комфортный офис по адресу г. Самара * график работы 5/2 с 9.00 до 18.00 * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * уникальную систему обучения Сбера для профессионального и карьерного развития * расширенный ДМС и льготное страхование для семьи * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About The Role We are looking for a Staff Platform Engineer to join our Platform team based in the United States. Our team is responsible for providing engineering teams with the platform and tooling responsible for deploying and running the core critical services that power the entire Fanatics business. You will own and lead complex initiatives across cloud infrastructure, Kubernetes platforms, CI/CD systems, observability, and internal developer tooling. As a Staff Platform Engineer, you will be a technical leader on our platform team, helping influence the technical direction and raising the bar for code quality, reliability, and observability. You will lead projects from design through delivery, coordinating across engineers, and partner teams with minimal oversight. You will design complete systems and services that meet business goals and our engineering standards, partner with team leadership on planning and the roadmap, and mentor team members on engineering craft and ownership. What You’ll Do Lead end-to-end execution of complex initiatives, from architecture and design through deployment and continuous refinement. Lead the design, maintenance, and implementation of scalable platform services, automation, CI/CD, and infrastructure supporting Fanatics’ technology ecosystem. Contribute to observability initiatives, including logging, metrics, and alerting, to improve system reliability and incident response. Partner with application and platform teams to improve performance, scalability, and reliability in cloud-native environments. Participate in incident response, post-incident reviews, and reliability improvements. Advocate for best practices in infrastructure, software delivery, and operational excellence. Provide technical guidance and mentorship to other engineers. Continuously learn and apply new technologies and approaches to platform engineering challenges. What We’re Looking For 8+ years of experience in platform, infrastructure, DevOps, or software engineering Proven experience successfully leading complex initiatives/projects while driving team strategy. Track record of breaking down complex work into clear, achievable milestones and delivering predictably using agile practices. Strong software engineering background, with experience in backend development and distributed systems. Deep understanding of the AWS cloud platform and cloud-native architectures. Proficiency in Infrastructure as Code (Terraform, CloudFormation) and automation. Hands-on experience with CI/CD pipelines, deployment automation, and developer productivity tooling. Deep expertise with Kubernetes and container orchestration in production environments. Strong knowledge of observability (logging, metrics, tracing) and experience improving system visibility and reliability. Experience with incident management and operational best practices for large-scale systems. Proficiency in Go or Python. Familiarity with AI-assisted development tools. Familiarity with platform security concepts. Ability to collaborate effectively across teams, communicate complex topics clearly, and influence engineering best practices. Outcome-driven mindset with a focus on solving real-world engineering challenges. A positive, adaptable attitude suited for a fast-moving environment. Comfortable operating in a fast-paced, evolving environment. Nice To Have Experience scaling services globally FinOps or cloud cost management experience Regulated or high-availability environment experience Experience with Java or Kotlin Familiarity with GitHub Actions Experience with Kafka and Cassandra Why Join Us? Work on high-impact platform engineering challenges at scale. Collaborate with experienced engineers who value technical excellence and innovation. Play a key role in shaping the developer experience and operational foundations of Fan Ecosystem. Join a culture that encourages learning, growth, and technical leadership. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ #LI-VG1 Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $200,000 — $250,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.BR, Brazil; Remote.CO, Colombia; Rosario, Remote.LATAM-country We are looking for a Solution Architect to help translate business goals into scalable, secure, and maintainable technical solutions. You will work across product discussions, architecture design, technical reviews, and cross team collaboration to support clear requirements and consistent engineering practices. This project is centered on a modern travel focused platform with cloud native services, distributed systems, data integrations, and observability. It aims to improve productivity, quality, security, reliability, and time to market through consistent architecture principles and implementation ready technical solutions. Define and communicate target architecture aligned with business objectives and product strategy Design scalable and secure solutions across cloud native applications APIs data platforms integrations and distributed systems Guide the adoption of Azure services containerized workloads event driven architecture Snowflake and Datadog Evaluate architectural alternatives and document trade offs risks dependencies and recommendations Identify opportunities to simplify systems reduce technical debt and improve platform reusability Partner with stakeholders to write review validate and improve product and technical requirements Translate business needs into clear testable and technically feasible requirements Identify gaps assumptions dependencies integration constraints and architectural risks before development starts Help teams define acceptance criteria API contracts data requirements system boundaries and testing strategies Guide engineering teams in adopting architectural directions standards reusable patterns and decision records Review proposed designs and significant technical changes and provide timely feedback Help identify and manage architectural dependencies across teams products platforms and shared services Drive responsible adoption of AI capabilities across the software development lifecycle Evaluate AI enabled tools frameworks and platforms based on value security reliability maintainability and cost Define architectural patterns for integrating AI services into applications Establish guidelines for AI generated code content validation data protection and secure AI tool usage Promote AI assisted testing including test generation regression coverage API validation and failure analysis Measure engineering and delivery outcomes using relevant performance and quality indicators Lead by example with clean architecture secure coding effective testing and maintainable implementation practices Help teams improve CI/CD pipelines automated testing deployment strategies infrastructure as code and delivery reliability Promote domain driven design modularity API first design asynchronous communication and event driven integration Collaborate with engineering managers technical leads developers QA engineers data engineers and product teams to resolve technical challenges Mentor technical leaders and engineers in architecture skills decision making and engineering ownership Facilitate architecture reviews technical design workshops knowledge sharing sessions and cross team discussions Present architecture changes engineering practices frameworks and technology investments to technical and non technical stakeholders Guide the design of reliable integrations across internal systems third party providers booking platforms and external services Establish patterns for event driven communication API integration messaging data consistency retries idempotency and failure recovery Collaborate with data teams on Snowflake architecture data ingestion transformation governance quality and analytical access patterns Promote observability through metrics logs distributed tracing dashboards and alerts using Datadog Apply controls for sensitive data access management secrets compliance and secure information handling Experience in software engineering and solution architecture designing and delivering production systems Understanding of distributed systems cloud native architecture microservices modular monoliths API design and system integration Ability to translate business requirements into technical designs and implementation plans Experience leading architecture reviews establishing engineering standards and influencing technical decisions across teams Ability to balance strategic architecture with delivery constraints incremental modernization and pragmatic trade offs Strong written and verbal communication skills for technical and non technical stakeholders Hands on experience with Microsoft Azure and cloud native services Experience with Docker and containerized application deployment Experience with Kubernetes or Azure Kubernetes Service Familiarity with infrastructure as code CI/CD automated deployment environment management and cloud cost optimization Understanding of application security secrets management resilience disaster recovery and least privilege access Experience designing APIs and integrations across distributed systems Understanding of event driven architecture messaging asynchronous processing eventual consistency retries idempotency and dead letter handling Experience with data pipelines data modeling and analytical platforms Hands on experience with Snowflake Familiarity with Azure Event Hubs Service Bus Kafka or equivalent messaging platforms Understanding of data governance data quality access controls and privacy considerations Practical experience adopting AI assisted development tools and integrating AI into software engineering workflows Understanding of the software development lifecycle and AI support across requirements design coding testing review deployment and operations Familiarity with Datadog Experience with observability practices including metrics logs distributed tracing dashboards and alerts Understanding of retrieval augmented generation patterns Familiarity with model APIs and prompt engineering Experience contributing to architecture reviews and technical design workshops Experience supporting automated testing across unit integration contract end to end performance and security testing

Location: Brussels, Belgium We currently have a vacancy for a Senior LLMOps Engineer fluent in English, to offer his/her services as an expert who will be based in Belgium. The work will be carried out either in the company’s premises or on site at customer premises. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team. Your tasks: Design, build, and maintain production-grade ML systems with a strong focus on Large Language Models (LLMs) in a secure hybrid on-prem / cloud infrastructure; Deploy, test, manage and monitor ML models in different containerized environments; Work closely with data scientists and back-end developers to build, test, integrate and deploy ML models; Evolve the LLMOps lifecycle: data preparation, fine-tuning, evaluation, deployment, monitoring, and iteration. Develop evaluation frameworks for LLM quality, robustness, and regression tracking; Analyse performance metrics and troubleshoot issues to ensure high availability and reliability; Design CI/CD pipelines, use orchestration solutions and data versioning tools; Creating automated anomaly detection systems and constant tracking of its performance and optimizing ML pipelines for scalability, efficiency and cost-effectiveness; Provision of security studies, security assessments or other security matters associated with information system projects; Provision of support and guidance to other team members on LLMOps/MLOps practices. Requirements University degree in a relevant field such as Computer Science, Information Technology, or Systems Engineering combined with relevant IT professional experience of at least 10 years; Excellent experience of managing an on-prem and/or cloud LLM / MLOps infrastructure; Experience with data analytics over big datasets, non-structured databases as well as data lakes; Experience with monitoring and logging tools (e.g. ELK stack, Prometheus, Grafana, OpenTelemetry, Cloudwatch); Experience with model testing and model validation in production environments; In depth knowledge of containerisation and orchestration platforms (e.g. Kubernetes, Docker, Podman, EKS, PKS); Good knowledge of MLflow, TensorFlow (TFX) or equivalents; Good knowledge of Airflow; Good knowledge of AWS or EU cloud providers; Good knowledge of Python; Good knowledge of Unix and Bash; Good knowledge agile software development methodologies; Good knowledge of infrastructure as code (Terraform, CloudFormation); Excellent knowledge of messaging services and platforms (e.g. Kafka, Redis, RabbitMQ); Knowledge of NoSQL databases, such as OpenSearch, MongoDB as well as query languages, such as SQL, Hive, Pig, etc. and with information extraction; Excellent command of the English language. Benefits If you are seeking a career in an exciting, dynamic and multicultural international environment with exciting opportunities that will boost your career, please send us your detailed CV in English, quoting reference (158837/11/2026). We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential. You may also consider all our other open vacancies by visiting the career section of our web site ( www.eurodyn.com) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS ( www.eurodyn.com) is a leading European Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies and national government Administrations in 40 countries and 4 continents. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, age, national origin, ethnicity, gender, disability, sexual orientation, gender identity or religion. EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in www.eurodyn.com/privacy. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorise ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.

Недельный отчёт по метрикам бренда по гео: регистрации, первые депозиты, депозиты, выводы, GGR, NGR, бонус-рейт, активные игроки. Сверка с отчётностью платформы.

разрабатывать с нуля AI-агентов и микросервисы для AI-продуктов. исследовать и внедрять новейшие технологические решения в ИИ - Claw-like & Ouroboros.

Разработка новых API для личного кабинета. Написание бизнес логики и интеграционной логики.

собирать, анализировать и документировать требования от внутренних и внешних заказчиков в Confluence. описывать методы для интеграций, разрабатывать функциональные спецификации и API-контракты совместно с ML- и backend-командами.

В команду листинга (сервис коммерциализации товаров) мы ищем аналитика, который будет работать на всех этапах жизненного цикла продукта: от сбора и валидации требований до приемочного тестирования и сопровождения внедренных решений. ● Опыт самостоятельного ведения задачи от бизнес-требований до релиза.

• Проектирование, создание и поддержка надежных и масштабируемых ETL-процессов для обработки больших объемов данных. • Разработка и оптимизация SQL-запросов для извлечения и анализа данных.

Задачи: — Сотрудничество с бизнес-стейкхолдерами для понимания их потребностей и требований — Анализ и документирование бизнес-процессов, рабочих процессов и функциональностей систем — Проектирование и предложение технических решений, соответствующих бизнес-целям и технологической стратегии FxPro — Разработка подробных системных спецификаций, диаграмм и блок-схем для руководства разработчиками — Тесное взаимодействие с командами разработки для контроля реализации системных решений — Обеспечение бесшовной интеграции новых систем с существующей инфраструктурой и платформами Требования: — Опыт работы не менее 5 лет на аналогичной позиции, из них 2 года в мобильных командах — Экспертиза в анализе и документировании требований для мобильных и веб-приложений — Опыт создания подробных системных спецификаций, вайрфреймов, диаграмм и блок-схем — Навыки работы с RESTful API, Async API (WebSocket, Kafka и др.) и интеграции сторонних API — Понимание принципов UX/UI дизайна — Владение созданием комплексной технической документации — Знание адаптивного дизайна и архитектуры систем — Сильные навыки решения проблем и устранения неполадок — Отличные устные и письменные коммуникативные навыки — Способность к сотрудничеству и работе в команде — Аналитическое мышление и навыки анализа данных — Адаптивность к изменяющимся бизнес-требованиям — Желательно глубокое знание торговых систем — Знание отраслевых стандартов и требований регуляторов будет плюсом — Свободное владение английским языком, знание русского — преимущество Условия: — Помощь с релокацией на Кипр (Лимассол): визовая поддержка, бонус на релокацию — Отличный компенсационный пакет — Медицинская и страхование жизни — Пенсионный фонд — Собственный спортзал с персональным тренером — Бесплатный ежедневный обед, закуски и напитки — Корпоративная дисконтная карта на различные товары и услуги — 50% скидка на языковые курсы с репетитором — 21 день ежегодного отпуска и 10 дней больничного в год — Трансфер из Лимассола — Программа сертификатов на день рождения

Задачи: — проектирование и масштабирование корпоративного хранилища данных — интеграция источников и консолидация данных из учётных систем (в том числе SAP HCM/SAP BW) — проектирование витрин данных на основе требований бизнеса и топ‑менеджмента — внедрение процессов Data Quality и Data Governance для обеспечения качества данных Требования: — опыт в области DWH, ETL или Data Engineering от 3 лет — практический опыт проектирования и развития хранилищ данных — уверенное владение PostgreSQL, MS SQL, Python (для обработки данных, интеграций и автоматизации), Apache Airflow, Kafka, Git — приверженность подходу Data Governance — умение самостоятельно принимать, документировать и внедрять решения в промышленную эксплуатацию — будет преимуществом понимание принципов хранения данных в SAP HCM/SAP BW, требований BI‑систем к структуре и качеству данных, а также основных метрик HR‑отчётности.

Location: Hybrid - San Francisco, New York City About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role: As a Member of Technical Staff, Finance Data, you’ll lead the design of the Financial Data Platform that Finance, Accounting, and Revenue Operations rely on to close the books, report revenue, and forecast. You’ll build auditable pipelines on Kafka, ClickHouse, Tinybird, and Snowflake that turn raw usage into revenue, and set the bar for data accuracy and governance where correctness isn’t optional. Your main focus is a multi-phase roadmap that takes the platform to maturity and audit readiness as the business grows. This is a hybrid role with 3 in-office days per week in San Francisco or New York City. What you'll do: Design and build the data platform behind revenue recognition, consumption-based billing, and financial reporting, across batch and real-time workloads Set standards for financial data ingestion, transformation, and storage, with auditability, lineage, and data integrity Work with FP&A, Accounting, and RevOps to turn reporting requirements, close-cycle timelines, and forecasting needs into architecture Partner with Security, Compliance, Legal, and Internal Audit to meet SOX and SOC 2 requirements, backed by monitoring, alerting, and incident response Set the technical roadmap, make build-vs-buy calls on ERP, billing, and revenue tools, and mentor engineers as the team grows What you need: 8+ years of experience in data engineering, analytics engineering, or a closely related field Owned production data pipelines end-to-end on AWS, GCP, or Azure Production experience with Kafka, ClickHouse, Tinybird, and Snowflake Built data pipelines that feed financial reporting, revenue recognition, billing, or consumption-based pricing Supported audit, SOX, or SOC 2 requirements for data systems Translated Finance or Accounting requirements into technical architecture Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $264,000 - $396,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: India; Bangalore; Delhi Workplace: Remote We are currently growing our support team at ClickHouse who provides excellent service to our customers around the world. We are seeking a Senior Technical Support Engineer to join our global Support Engineering team. We hope to find you ready to take on a large variety of tasks related to our customers locally in India as well as more regionally across APJ and EMEA. This is a customer-facing role that will include customer interactions via chat, calls, Slack messages, and virtual meetings over video. You will be owning a wide variety of tasks: from triaging support tickets to user community support, helping with both pre- and post- sales customer activities, partnering with our Go To Market team with deeply technical aspects of POCs, and suggesting improvements to how we do things in Support at ClickHouse. This is a great opportunity for someone ready to roll-up their sleeves and help us expand our regional presence in India! WHAT YOU WILL BE DOING: - Supporting and guiding our ClickHouse users, customers, and prospects via cases, chat, Slack, community, and meetings - Develop solutions based on ClickHouse Cloud and ClickHouse open-source that can be shared with our users, community, and customers via documentation, knowledge base, blogs, meetups, webinars, and training - Work closely with our global Support Services, Engineering, Go to Market, and Product Management teams to help define functionality required by users and customers - Assist with mentoring, training, and sharing your knowledge with colleagues, users, and customers  AND OF COURSE: - You will deliver excellent customer service as a first-line technical engineer and representative of ClickHouse. Our Support Engineers provide professional response, on-call coverage, and guidance within the required Service Level Agreements ("SLAs") on technical cases that are opened via a ticketing system, email, Slack, chat, and/or phone - You will build strong, trusted relationships with colleagues, customers, and partners WHAT YOU BRING ALONG: - Technical breadth and depth in ClickHouse open-source or Cloud, or in domains relevant to ClickHouse, such as: SQL databases, OLAP, cloud-native SaaS, distributed systems, Kubernetes, Docker - Previous technical experience in roles such as Support Engineer, Technical Account Manager, Database Administrator, Site Reliability Engineer, Solutions Engineer, Software Engineer, and/or Systems Engineer - Be present and available according to the scheduling required to deliver high-quality 24x7 Support in a global, distributed environment - Strong written and verbal English communication skills and the ability to work fully remote with reliable connectivity - A mindset of teamwork, global engagement, empathy, and solving challenging problems - A sense of adventure and urgency in building the most scalable, high-performing, largest, and fastest databases on the planet - The ability to build trusted relationships with colleagues, customers, and partners - You are self-driven, curious, and eager to continuously learn and grow BONUS POINTS: - Experience with ClickHouse - Experience with OSS and open-source technologies, as a user, community member, or contributor - Experience with Azure, GCP or AWS - Experience with data pipelines such as Kafka, Kinesis, Spark, RabbitMQ, or others 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.

- Участи в проектировании и реализации технической архитектуры для задачи повышения уровня доступности системы (HA конфигурации для всех компонентов, паттерны отказоустойчивости, мониторинг и алертинг). - Работа с инцидентами и обращениями пользователей в качестве 3 линии поддержки, дежурства (on-call) 24/7 1 раз в месяц.

Задачи: — Разработка и поддержка автоматизированных тестов на Java. — Тестирование мобильных и веб-приложений. — Работа с Rest API и базами данных (SQL/NoSQL). — Интеграционное тестирование. — Развертывание инфраструктуры и работа с микросервисной архитектурой. Требования: — Опыт работы в QA от 3 лет. — Опыт автоматизации тестирования на Java от 2 лет. — Опыт тестирования мобильных приложений от 2 лет (соотношение mobile/web 70/30). — Опыт работы с Rest API. — Опыт работы с SQL/NoSQL базами данных на уровне сложных запросов. — Опыт покрытия новых функциональностей инструментами автотестирования на Java. — Опыт работы с интеграционным тестированием. — Опыт работы с CI/CD (Jenkins, GitlabCI). — Опыт работы с брокерами сообщений (Kafka, RabbitMQ или аналоги). — Опыт работы с Mock-сервисами (Wiremock или аналоги). — Опыт написания библиотек и инструментов для автоматизации тестирования. — Опыт применения процессов и методологий разработки ПО. — Опыт работы с системами на микросервисной архитектуре (Spring Cloud, Kubernetes, Openshift или аналоги). — Опыт развертывания инфраструктуры. — Опыт работы с системами Cache (Redis, Hazelcast). — Владение инструментами: Docker, Jenkins, K8s, SOAP UI, Postman, Jira, Confluence, Git, IntelliJ IDEA, Bitbucket, Docker Compose. — Соотношение ручного и автоматического тестирования: 50/50. — Соотношение backend и frontend тестирования: 50/50. Условия: — Удаленный формат работы в IT аккредитованной компании. — Длительный проект. — Оплачиваемый отпуск 28 календарных дней и оплачиваемые больничные. — Оформление ДМС со стоматологией. — Предоставление техники. — Индексация/пересмотр ЗП. — Возможность участия во внутренних программах компании (например, реферальная программа). — Услуги корпоративного психолога.