Вакансии

Задачи: Настраивать интеграции с ключевыми системами: - Инфраструктурными (Active Directory, Email-системы, CMDB, Service Management) - SIEM-платформами для централизованного мониторинга и анализа событий. Писать, поддерживать и рефакторить код интеграций в python, bash, powershell;

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Задачи: — Выполнение роли руководителя веб-аналитики в команде цифровых продуктов В2С, в частности e-commerce платформы https://simplewine.ru/. — Выстраивание сквозной аналитики с данными e-commerce платформы, CRM и другими источниками. — Настройка инструментов аналитики (Яндекс.Метрика, DataGo). — Агрегация данных из нескольких источников (Яндекс.Метрика, CRM и пр.), работа с сырыми данными. — Проверка и формулирование продуктовых гипотез, проведение A/B тестов, анализ результатов, поиск инсайтов в данных. — Визуализация данных и подготовка омниканальной отчётности по запросам заказчиков для контроля показателей. — Мониторинг показателей, выявление причин отклонения и подготовка рекомендаций по их устранению. — Составление прогнозов показателей эффективности сайта (трафик, выручка, конверсия, средний чек, показатель отказов и пр.). — Взаимодействие с внутренними заказчиками (сбор, анализ, уточнение требований) и веб-разработчиками (постановка задач, контроль реализации). Требования: — Опыт работы в роли руководителя аналитики или ведущего веб-аналитика. — Опыт выстраивания процессов аналитики цифровых продуктов web и app в сфере e-commerce. — Владение инструментами Google Tag Manager, Яндекс.Метрика, Yandex DataLens, DataGo, Appmetrica, ClickHouse, Power BI. — Опыт проведения ROPO-анализа. — Опыт разработки инструментов для автоматизации процессов обработки данных и типовых задач с помощью скриптов Python. — Будет преимуществом опыт с исследованиями, прогностическими моделями и факторным анализом. Условия: — Оформление в штат компании. — Программа ДМС со стоматологией. — Корпоративные скидки на товары компании, партнёрские программы. — Возможности внутреннего и внешнего обучения. — Развитие экспертизы в вине с помощью курсов, дегустаций и обучений от наших экспертов и бренд-амбассадоров.

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✅ Поиск и подключение новых рекламодателей, брокеров и сеток. ✅ Переговоры по payout, caps, эксклюзивам и индивидуальным условиям.

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▫️Запуск, настройка и оптимизация кампаний в Google Ads: Search, Display, Performance Max, YouTube. ▫️Разработка и реализация стратегий привлечения платного трафика.

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Разрабатывать и исследовать ML-модели для генерации изображений и визуализации интерьерных/строительных решений на основе товаров Лемана ПРО. Проектировать и реализовывать end-to-end пайплайны для PoC: от сбора и подготовки данных до обучения, оценки и демонстрации результатов.

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Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. Before you apply, we encourage you to explore our culture page https://www.kraken.com/culture to understand what drives us and how we work. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   We’re looking for a Senior Analytics Engineer to join Kraken’s Finance Data Eng & Analytics team within Data Platform. You’ll build trusted financial data products, using automation and AI to reduce manual work and improve the close process. Working at the intersection of data engineering and accounting, you’ll turn complex financial data into reliable pipelines, models and automated reconciliations. You’ll use AI-assisted tools to accelerate development and investigations, keeping financial outputs tested and traceable.   THE OPPORTUNITY - You’ll work closely with Data Engineers, Finance and Platform Accounting to improve reporting and decision-making. Clear communication and collaboration will help you agree priorities, explain findings and drive adoption. - Partner with Finance to understand workflows, identify pain points and translate business needs into practical data and automation solutions. - Build and maintain automated workflows for data preparation, reconciliations, reporting and follow-ups, with clear controls, monitoring and exception handling. - Build intuitive dashboards and visualizations that help stakeholders understand performance, investigate issues and make decisions. - Resolve finance data issues and reconciliation breaks with Finance, Product and Engineering, addressing root causes and communicating progress. - Build scalable, reliable pipelines to collect, transform and curate data from internal platforms and external systems. - Support the design and rollout of a trusted finance data lake, with clear definitions, ownership and quality checks. - Improve data timeliness, enabling near-real-time insights where they add business value. - Evaluate new technologies, including AI-assisted automation, and prototype solutions to Finance needs that can be reliably supported in production.   WHAT YOU BRING - 7+ years of experience in data analytics and data management within financial services or a regulated industry, working directly with Finance teams. - Strong SQL and Python skills, including writing, debugging and maintaining production code. - Solid experience with Git, merge requests, and code reviews, supported by strong software engineering practices, including testing and documentation. - Hands-on experience building and operating pipelines and models using dbt, Spark, Airflow or comparable tools. - Direct experience with finance or accounting data, such as reconciliations, subledgers, cost basis or month-end close, including investigating discrepancies and validating outputs with accounting stakeholders. - A track record of owning pipelines end to end, making sound technical decisions and improving reliability as requirements and systems evolve. - Judgment and autonomy to lead complex work, navigate ambiguity and remain accountable for production outcomes. - Experience supporting recurring financial close activities, combined with a proactive approach to identifying manual processes and replacing them with reliable, sustainable automation. - Excellent communication skills, with the ability to collaborate across Engineering and Finance, explain complex technical issues, articulate financial implications, and recommend actionable solutions.   NICE TO HAVES - Experience with cryptocurrency transaction data and how digital-asset activity flows into financial records and reconciliations. - Experience processing large volumes of financial transactions using distributed frameworks such as Spark or PySpark. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Brazil; Peru; Colombia; Argentina; Canada; Mexico; Chile Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. Before you apply, we encourage you to explore our culture page https://www.kraken.com/culture to understand what drives us and how we work. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   We’re looking for a Senior Analytics Engineer to join Kraken’s Finance Data Eng & Analytics team within Data Platform. You’ll build trusted financial data products, using automation and AI to reduce manual work and improve the close process. Working at the intersection of data engineering and accounting, you’ll turn complex financial data into reliable pipelines, models and automated reconciliations. You’ll use AI-assisted tools to accelerate development and investigations, keeping financial outputs tested and traceable.   THE OPPORTUNITY - You’ll work closely with Data Engineers, Finance and Platform Accounting to improve reporting and decision-making. Clear communication and collaboration will help you agree priorities, explain findings and drive adoption. - Partner with Finance to understand workflows, identify pain points and translate business needs into practical data and automation solutions. - Build and maintain automated workflows for data preparation, reconciliations, reporting and follow-ups, with clear controls, monitoring and exception handling. - Build intuitive dashboards and visualizations that help stakeholders understand performance, investigate issues and make decisions. - Resolve finance data issues and reconciliation breaks with Finance, Product and Engineering, addressing root causes and communicating progress. - Build scalable, reliable pipelines to collect, transform and curate data from internal platforms and external systems. - Support the design and rollout of a trusted finance data lake, with clear definitions, ownership and quality checks. - Improve data timeliness, enabling near-real-time insights where they add business value. - Evaluate new technologies, including AI-assisted automation, and prototype solutions to Finance needs that can be reliably supported in production.   WHAT YOU BRING - 7+ years of experience in data analytics and data management within financial services or a regulated industry, working directly with Finance teams. - Strong SQL and Python skills, including writing, debugging and maintaining production code. - Solid experience with Git, merge requests, and code reviews, supported by strong software engineering practices, including testing and documentation. - Hands-on experience building and operating pipelines and models using dbt, Spark, Airflow or comparable tools. - Direct experience with finance or accounting data, such as reconciliations, subledgers, cost basis or month-end close, including investigating discrepancies and validating outputs with accounting stakeholders. - A track record of owning pipelines end to end, making sound technical decisions and improving reliability as requirements and systems evolve. - Judgment and autonomy to lead complex work, navigate ambiguity and remain accountable for production outcomes. - Experience supporting recurring financial close activities, combined with a proactive approach to identifying manual processes and replacing them with reliable, sustainable automation. - Excellent communication skills, with the ability to collaborate across Engineering and Finance, explain complex technical issues, articulate financial implications, and recommend actionable solutions.   NICE TO HAVES - Experience with cryptocurrency transaction data and how digital-asset activity flows into financial records and reconciliations. - Experience processing large volumes of financial transactions using distributed frameworks such as Spark or PySpark.       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

-Проведение ручного тестирования разрабатываемого ПО. -Составление тест-кейсов, документирование выявленных инцидентов.

от 35 000 ₽

As Head of Product you own product direction and priorities for the cloud platform: which problems deserve our attention, what success looks like, and what we should stop doing.

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What You'll Do Contribute content design to product work, shaping user flows, information architecture, content hierarchy, UX writing, and customer communications across web and native app experiences.

80 000 – 118 000 GBP

• Быстро создавать и запускать новые мобильные приложения и MVP; • Разрабатывать frontend на React + TypeScript и mobile на React Native;

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— Design and run product experiments end to end - form hypotheses, define test duration and required sample size, assess whether the expected result is achievable, evaluate A/B tests and determine statistical significance;

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— сайт для продажи книги на нашем домене: три товара (электронная, аудио, бумажная), кнопки «Купить» ведут на нашу оплату.

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Вести сложные продуктовые проекты и инициативы, направленные на улучшение пользовательского опыта и рост ключевых бизнес-показателей. Формировать подход к продуктовой аналитике: определять необходимые бизнесу метрики, валидировать данные и использовать инсайты для принятия взвешенных продуктовых решений.

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Администрировать СЗИ (EDR, VipNet, WAF, AntiDDoS, Сканеры уязвимостей, Средства мониторинга, PAM, DLP, Endpoint Management, Sandbox, IDS).

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Чем предстоит заниматься Развивать Incident & Problem Management внедрять и развивать единый процесс управления инцидентами; формировать культуру postmortem-разборов без поиска виноватых;

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Mirage is looking for a Software Engineer Agents to build and deploy reliable agentic systems for creative video workflows.

175 000 – 300 000 $

Runpod is looking for a Director of Security to lead security strategy, compliance, secure development, incident response, and security operations.

125 000 – 220 000 $