Вакансии

Задачи: — Разрабатывать и реализовывать стратегии внешнего продвижения под разные проекты и гео. — Анализировать ссылочные профили проектов и конкурентов. — Работать с outreach, guest posts, crowd, каталогами, биржами, прямыми размещениями и другими источниками ссылок. — Искать площадки и договариваться с вебмастерами. — Контролировать качество, индексацию и эффективность ссылок. — Спроектировать, запустить и развивать PBN-сеть. — Искать и оценивать expired/drop-домены. — Работать с аукционами, регистраторами, backorder-сервисами, хостингами и Cloudflare. — Организовать развёртывание, настройку и наполнение сайтов PBN. — Диверсифицировать инфраструктуру и снижать footprint сети. — Планировать бюджет, оценивать эффективность вложений и готовить отчётность. Требования: — Опыт в линкбилдинге от 2 лет. — Практический опыт в betting, casino, iGaming или других high-risk нишах. — Опыт продвижения проектов в России/СНГ и зарубежных гео. — Подтверждённый опыт самостоятельного построения и поддержки PBN. — Умение находить и оценивать expired/drop-домены. — Понимание принципов безопасной работы с PBN и минимизации footprint. — Уверенная работа с Ahrefs, Majestic, Semrush или аналогичными инструментами. — Умение оценивать качество доноров и эффективность ссылочного продвижения. — Базовые технические навыки: WordPress, DNS, хостинги, Cloudflare. — Английский, достаточный для общения с иностранными площадками и вебмастерами. Будет плюсом: — Опыт масштабирования PBN под несколько проектов и гео. — Собственная база вебмастеров, площадок и подрядчиков. — Опыт автоматизации линкбилдинга. — Кейсы с измеримыми результатами. Условия: — Полностью удалённая работа. — Полная занятость, график 5/2. — Гибкое начало рабочего дня. — Отдельный бюджет на домены, аукционы, хостинги, контент и SEO-инструменты. — Возможность самостоятельно выстроить PBN-направление и влиять на стратегию продвижения.

Location: Berlin Office; Netherlands; Portugal; Poland; Germany; United Kingdom; Spain Workplace: Remote The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us. ABOUT THE ROLE Your mission: turn n8n's strategic partnerships into enterprise pipeline — and decide where our limited partner marketing resources go to make that happen. n8n works with some of the world's largest consulting and technology companies: global SIs such as Accenture, Capgemini and BCG, and technology partners such as SAP, Microsoft, AWS and NVIDIA. In May 2026 SAP made a strategic investment in n8n and announced plans to embed it in Joule Studio. Partnerships are now a core part of our enterprise go-to-market. The hard part isn't generating ideas. Partners propose more campaigns, events and content than any team could run, and enthusiasm doesn't always turn into execution. Without this role, we invest in winning partners and never turn them into pipeline. You'll fix that by choosing a few programs that matter, securing real commitments from both sides, and driving them to measurable results.   Set partner marketing priorities - Build integrated, multi-quarter marketing plans with our priority partners, aligned with the Partnerships team on where each relationship is heading - Rank opportunities on clear criteria — enterprise reach, joint value proposition, commercial upside, partner commitment and ability to execute — and say no, with reasons, to what doesn't make the cut - Tell a promising partnership apart from one that's ready to run joint marketing, and plan accordingly Run programs that create pipeline - Run partner programs choosing the right mix of joint content and customer stories, webinars and technical workshops, executive dinners and field events, joint campaigns, ABM and sales activation - Secure the people, budget and commitments needed on both sides, then keep programs moving from plan to execution across complex partner organisations - Work with Sales on partner lead management and follow-up, and with Field Marketing, Demand Gen, Product Marketing and DevRel on joint go-to-market programs Extend reach to Tier 2 and emerging-market partners - Build co-marketing programs with Tier 2 and regional partners, including in markets such as APAC where partners are our main route in - Adapt what works with strategic partners into lighter-weight programs that need less of our time Build foundations that scale - Turn your best programs into repeatable playbooks for every new strategic partner - Set up the measurement that links partner activity to engagement, qualified opportunities and partner-sourced pipeline, and run regular performance reviews with partners and internal stakeholders - Put partner marketing operations in place — and build them in n8n where it makes sense n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. *Country and/or State specific details provided in your employment agreement.

This is a Senior Software Engineer position with a strong focus on: — C/C++ — embedded & real-time systems — Linux — low-latency networking — hardware/software integration The engineer will work on mission-critical software for drone communication and autonomous control systems within a high-end agricultural mapping & surveying environment. Relevant backgrounds include: — UAV/drone software — robotics — avionics/aerospace — embedded Linux — autonomous systems — industrial robotics — telecom/networking Relevant technologies include: — PX4 / ArduPilot — MAVLink — ROS/ROS2 — RTOS — GNSS / RTK — telemetry systems Eastern European candidates are absolutely of interest for this role. The client is open to relocation or remote engineers within EU time zones. Candidates with experience in defense, UAV or autonomous vehicle projects are highly welcome.

Location: Limassol, Cyprus Workplace: hybrid We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. Responsibilities: Regulatory Monitoring & Analysis: Stay up to date with legal and regulatory changes, keeping abreast of industry and legal and regulatory developments to ensure that the organization is aware of emerging compliance requirements. Interpret new regulations and determine their impact on company operations. Policy and Procedure Review: Assess existing company regulatory compliance manuals, policies, and procedures to verify their alignment with current regulations and best practices. Work closely with management to recommend updates or improvements to maintain a robust compliance framework. Compliance Monitoring Program: Conduct regular and thorough reviews of company operations, processes, and documentation for AML and regulatory compliance to ensure compliance with relevant laws, regulations, and industry standards. Identify areas of non-compliance and collaborate with relevant stakeholders to address and rectify issues, including, where required, additional training. Complaints Handling: Investigate and resolve client complaints, including Financial Ombudsman cases, effectively and efficiently. Compliance Enquiries: Respond to compliance enquiries promptly and accurately. Data Analysis and Reporting: Collect and analyze data related to compliance activities, track trends, and produce insightful reports for senior management. Present findings, recommendations, and key performance indicators to support informed decision-making. Risk Assessment: Collaborate with cross-functional teams to identify potential compliance risks within different business units or processes. Develop risk assessment strategies and work towards implementing effective risk mitigation plans. Regulatory Impact Analysis: Determine whether a reported incident is a breach, an incident or no action, determine reportability to CySEC, and record the reasoning. Support Product Governance: Contribute to the product approval process, target market identification and product description forms, and keep Key Information Documents and disclosures up to date. Due Diligence: Provide the required information and documentation to key service providers conducting due diligence on the Company. Compliance Support and Approvals: Provide advice and guidance to employees of various departments ranging from Customer Support to Back Office and Marketing. Review client communication to ensure this is in line with best practice and regulation. External Support: Coordinate and assist, when requested, with authorities and/or external auditors during regulatory and compliance audits. Prepare requested documentation, facilitate access to necessary information, and address inquiries as needed. Support CRS and foreign tax authority correspondence. Training and Awareness: Develop and deliver compliance training programs for employees to enhance their understanding of regulations and ethical standards. Foster a culture of compliance awareness throughout the organization. Continuous Improvement: Drive ongoing enhancements to the compliance monitoring process by identifying areas for optimization and implementing innovative solutions to streamline procedures. Task Management & Proportionality: Balance strategic oversight with operational involvement, managing a diverse set of tasks. Apply complex regulatory obligations in a risk-based, proportionate manner to support commercial activity responsibly. Legal : Maintain a close collaboration with legal. Requirements: Bachelor’s degree in Law, Finance, Business or related field; professional certifications (e.g., CAMS, ICA) highly desirable. Excellent English communication skills verbally and written. CySEC Advanced Certification, or availability to obtain it during the probation period. Minimum of 5-7 years of experience in compliance, preferably within the financial services industry, with a focus on online trading or brokerage. Proven ability to interpret and implement financial regulation and AML/CFT frameworks. Comfortable operating autonomously and managing multiple workstreams. Skilled at balancing regulatory rigor with business practicality. Excellent written and verbal communication; able to engage confidently with senior management and regulators. What you will get in return: • Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. • Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid • Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. • Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. • Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! • Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! • Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community. Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.

Требования: — Гражданство РФ, локация любая. — Высшее техническое образование в сфере ИТ. — Опыт работы с системами автоматизированного тестирования Selenium / Playwright от 3 лет. — Разработка автоматизированных интеграционных тестов на Python или Java с использованием Selenium/Selenide/Playwright. — Опыт в роли лида тестирования или наставника от 1 года. — Опыт в тестировании от 3 лет. — Опыт функционального тестирования от 3 лет. — Опыт разработки централизованных фреймворков тестирования, используемых более чем в 5 командах. — Опыт управления/организации процессов тестирования или руководства группой тестирования. — Навыки ручного тестирования и организации автоматизированного тестирования. — Разработка тестовых сценариев на основании функциональных требований и типовых процессов. — Знание теории и практики процессов тестирования. — Проектирование фреймворков автоматизации. — Декомпозиция задач на разработку автотестов. — Использование SoapUI, Postman, Katalon Studio для тестирования веб-сервисов и API. — Проведение и координация функционального, интеграционного, регрессионного и автоматизированного тестирования. — Опыт тестирования интеграционных продуктов. — Знание процессов производства ПО и методик тестирования. — Знание Agile/Scrum/Kanban и понимание каскадной модели разработки. — Опыт тестирования в командах с гибкой моделью разработки. — Работа с баг-трекингом. — Работа с Jira/Kaiten, HP ALM, TSM. — Разработка тестовой модели. — Сложные SQL-запросы, опыт работы с PostgreSQL / Oracle. — Работа с системами контроля версий Git / SVN. — Работа с RDP/SSH. — Понимание клиент-серверной архитектуры: HTTP/HTTPS, REST/SOAP, XML/JSON. — Работа с Web-технологиями и DevTools браузера, включая Network и консоль. — Настройка автотестов в GitLab CI. — Чтение и анализ логов приложений. — Работа с Grafana и аналогичными системами мониторинга. — Опыт развёртывания тестовых окружений. — Работа с Windows и nix. — Знание инструментов управления базой знаний, базами данных, логами, API и автоматизацией тестирования. — Английский язык B1: чтение технической документации и деловая переписка. — Системный подход к решению проблем и способность отслеживать причинно-следственные связи. Будет плюсом: — Опыт работы с HP UFT / TestComplete / IBM RR (legacy). — Docker. Описание проекта: Проект по обеспечению качества и автоматизации тестирования информационных систем и продуктов. Специалист отвечает не только за разработку автотестов, но и за организацию тестирования, развитие тестовых фреймворков, координацию процессов и наставничество. Условия: — Удалёнка — Вилка до 155к рублей на руки.

Задачи: — участие в крупном банковском проекте, связанном с кредитованием расчетного счета клиента, закрытием кассовых разрывов и обеспечением быстрого доступа к заемным средствам. Требования: — 6+ лет опыта работы с Java 17+; — 3+ года опыта работы с Spring и Spring Boot; — опыт работы с системами на микросервисной архитектуре; — опыт работы с инструментами контейнеризации и оркестрации (Docker и Kubernetes или аналоги); — опыт написания модульных и интеграционных тестов (Junit, Spring Boot Test, Testcontainers, Wiremock); — опыт проектирования и реализации RESTful API, знание принципов REST и best practices; — опыт работы с двумя любыми из следующих технологий: NoSQL (MongoDB, Elasticsearch, аналоги); SQL (PostgreSQL, Oracle, аналоги); брокеры сообщений (Kafka, RabbitMQ, аналоги); Cache (Redis, Hazelcast); — опыт работы с Camunda 7. Условия: — удаленная работа по РФ и дружественным странам; — IT-аккредитованная компания; — оформление по ТК; — предоставление техники для работы.

Мы ищем Middle+ / Senior Unreal Engine 5 разработчика в неанонсированный игровой проект. Нужен специалист, который уверенно работает с UE5 C++, понимает архитектуру gameplay-систем и умеет писать решения, которые можно поддерживать, расширять и переиспользовать. Отдельным плюсом будет интерес к современным AI-инструментам и желание использовать их в реальном production-процессе: для ускорения разработки, прототипирования, анализа, документации и автоматизации рабочих задач. Основные требования: — Опыт участия в коммерческих игровых проектах на Unreal Engine 5; — Уверенное владение C++ в контексте Unreal Engine; — Хорошее понимание Gameplay Framework: Actors, Components, Controllers, Pawns, GameMode, GameState, PlayerState, Subsystems; — Опыт проектирования gameplay-систем, которые можно поддерживать, расширять и переиспользовать; — Понимание архитектурных принципов: разделение ответственности, слабая связанность систем, работа через интерфейсы, компоненты, подсистемы и модули; — Понимание принципов построения модульных приложений в рамках UE-проекта; — Знание общепринятых data-driven подходов: Data Assets, Data Tables, Gameplay Tags, конфигурации, настройка логики через данные; — Опыт работы с Gameplay Ability System; — Опыт работы с Common UI или понимание принципов построения UI-архитектуры в UE5; — Умение самостоятельно декомпозировать gameplay-фичи, оценивать сложность реализации и доводить задачи до production-ready состояния. Будет плюсом: — Понимание принципов построения мультиплеерных приложений; — Опыт работы с replication, RPC, authority model и сетевыми gameplay-системами в Unreal Engine; — Опыт работы с модульной архитектурой проекта: плагины, runtime/editor-модули, подсистемы, переиспользуемые gameplay-компоненты; — Опыт участия в техническом планировании, ревью решений или обсуждении архитектуры внутри команды; — Опыт работы с AI-агентами, LLM-инструментами или AI-assisted development; — Интерес к применению AI-инструментов в реальном production-процессе: прототипирование, анализ кода, документация, автоматизация рутинных задач; — Хорошая самоорганизация: умение планировать свою работу, держать фокус и заранее подсвечивать риски по задачам. Кого мы ищем: — Разработчика, который понимает, как его технические решения влияют на проект в долгую; — Человека, умеющего работать самостоятельно, задавать правильные вопросы, предлагать технические решения и поддерживать порядок в своей зоне ответственности; — Особенно интересны кандидаты, которым близка идея использовать AI-инструменты как полноценную часть рабочего процесса разработки. Формат работы: — Полностью удаленный формат; — Полный день, 80 000 - 120 000 (по итогам финального собеседования); — Уровень: Middle+ / Senior; — Работа над неанонсированным UE5-проектом; — Детали проекта обсуждаются после первичного контакта.

Задачи: — Разрабатывать и реализовывать стратегии внешнего продвижения под разные проекты и гео. — Анализировать ссылочные профили проектов и конкурентов. — Работать с outreach, guest posts, crowd, каталогами, биржами, прямыми размещениями и другими источниками ссылок. — Искать площадки и договариваться с вебмастерами. — Контролировать качество, индексацию и эффективность ссылок. — Спроектировать, запустить и развивать PBN-сеть. — Искать и оценивать expired/drop-домены. — Работать с аукционами, регистраторами, backorder-сервисами, хостингами и Cloudflare. — Организовать развёртывание, настройку и наполнение сайтов PBN. — Диверсифицировать инфраструктуру и снижать footprint сети. — Планировать бюджет, оценивать эффективность вложений и готовить отчётность. Требования: — Опыт в линкбилдинге от 2 лет. — Практический опыт в betting, casino, iGaming или других high-risk нишах. — Опыт продвижения проектов в России/СНГ и зарубежных гео. — Подтверждённый опыт самостоятельного построения и поддержки PBN. — Умение находить и оценивать expired/drop-домены. — Понимание принципов безопасной работы с PBN и минимизации footprint. — Уверенная работа с Ahrefs, Majestic, Semrush или аналогичными инструментами. — Умение оценивать качество доноров и эффективность ссылочного продвижения. — Базовые технические навыки: WordPress, DNS, хостинги, Cloudflare. — Английский, достаточный для общения с иностранными площадками и вебмастерами. Будет плюсом: — Опыт масштабирования PBN под несколько проектов и гео. — Собственная база вебмастеров, площадок и подрядчиков. — Опыт автоматизации линкбилдинга. — Кейсы с измеримыми результатами. Условия: — Полностью удалённая работа. — Полная занятость, график 5/2. — Гибкое начало рабочего дня. — Отдельный бюджет на домены, аукционы, хостинги, контент и SEO-инструменты. — Возможность самостоятельно выстроить PBN-направление и влиять на стратегию продвижения.

Задачи: — В сотрудничестве с командами рыночной стратегии, управления продуктом, продаж и маркетинга разрабатывать и реализовывать ежегодный стратегический маркетинговый план, включая стратегии удержания клиентов, повышения их вовлеченности и кросс-продаж/апсейлов. — Руководить и направлять команду по инициативам маркетинга продукта Vault CRM Suite, устанавливая согласованный операционный ритм между рыночной стратегией, управлением продуктом и маркетингом. — Разрабатывать и совершенствовать сообщения в партнерстве с рыночной стратегией, распространяя их через все внешние каналы, веб-ресурсы и материалы для клиентов. — Обеспечивать поддержку команд продаж и взаимодействия с клиентами, переводя релизы продуктов и стратегические нарративы в эффективные инструменты обучения и презентационные материалы. — Отвечать за стратегию контента и создавать материалы (лидерство мнений, видео, тексты для сайта, блогов, инфографику и др.), которые демонстрируют ценность решений и успехи клиентов. — Организовывать и проводить крупные конференции для клиентов, запуск продуктов и программы поддержки клиентов. — Повышать узнаваемость продукта через PR, публикации статей и социальные сети. — Создавать и поддерживать оптимизированную библиотеку материалов для продаж и конкурентных активов. Требования: — Опыт работы в маркетинге B2B корпоративного программного обеспечения не менее 6 лет с подтвержденным опытом руководства инициативами в сложной и динамичной среде. — Высокая мотивация и способность самостоятельно ориентироваться в организационных структурах и интегрироваться в существующие кросс-функциональные процессы. — Исключительные навыки редактирования и написания текстов. — Способность превращать стратегические концепции продукта в четкие и отточенные сообщения для клиентов. — Подтвержденный опыт согласования действий между рыночной стратегией, управлением продуктом и маркетингом. — Сильные навыки управления проектами и операционного исполнения с вниманием к деталям и ответственностью. — Степень бакалавра или эквивалентный опыт работы. Преимущества: — Опыт маркетинга ведущего корпоративного B2B программного продукта с значительной долей рынка. — Опыт программ по вовлечению клиентов, поддержке клиентов или расширению на основе аккаунтов (ABM). Условия: — Медицинская, стоматологическая, офтальмологическая страховка и базовое страхование жизни. — Гибкий оплачиваемый отпуск и оплачиваемые компанией праздничные дни. — Программы пенсионного обеспечения. — Программа благотворительности 1%. — Базовая зарплата: $95,000 - $175,000.

Требования: — 5+ лет в QA — тестирование мобильных приложений — опыт автоматизации backend/API на Java — уровень английского B1+ О компании: QIC — экосистема цифровых продуктов для Ближнего Востока, включающая страхование и повседневные сервисы: от покупки авто до планирования путешествия. Размер команды — 200-250 человек Рейтинг S&P “A”

Задачи: — Генерировать оригинальные идеи контента. — Находить интересные углы в данных и отраслевых новостях, включая инфографику, сравнения, разбивку по агентствам, рейтинги и регулярные серии. — Проактивно предлагать идеи и экспериментировать с новыми форматами. — Создавать графику самостоятельно. — Разрабатывать четкие, привлекательные инфографики, карусели и новостные графики, которые эффективно передают информацию и выглядят профессионально в соцсетях. — Выбирать актуальные новости. — Анализировать поступающие отраслевые новости и определять, какие из них важны для аудитории, почему и как их представить. — Писать тексты. — Создавать заголовки, текст на графике, крючки и подписи на четком, уверенном английском языке, подходящем для профессиональной аудитории. — Проверять работу исследователей. — Проверять данные и источники, предоставленные исследовательской командой. — Проверять имена, связи с агентствами, даты, суммы, проценты и другие детали. — Выявлять несоответствия и работать с исследователями для их устранения. — Отвечать за финальную проверку качества. — Убедиться, что графика и подпись соответствуют проверенным данным, заголовок подтвержден, а пост точен и понятен. — Управлять календарем контента. — Балансировать запланированный контент с оперативными реакциями на актуальные новости отрасли. — Учиться на результатах. — Анализировать, что резонирует с аудиторией, и использовать эти данные для улучшения будущего контента. Требования: — Сильное портфолио графического дизайна, особенно инфографики, редакционной графики, каруселей для соцсетей или другого контента, ориентированного на информацию. — Умение вести пост от идеи до дизайна, написания подписи и финальной проверки. — Сильное творческое и редакционное суждение. — Способность анализировать данные или новости, находить интересный угол и объяснять, почему это важно для аудитории. — Отличное письменное владение английским языком, включая умение делать сложную информацию понятной и лаконичной. — Внимание к деталям и комфорт при работе с таблицами, проверке процентов и источников. — Владение инструментами дизайна для создания качественной графики и организованных, редактируемых файлов. — Инициативность и любознательность. — Регулярное предложение идей, исследование возможностей и улучшение концепций через обратную связь. — Сильная организация, надежная коммуникация и умение самостоятельно управлять сроками.

ASOS.com — британский онлайн‑ритейлер модной одежды, обуви, аксессуаров и косметики. Размер команды — 1k-5k, инвестиции — £587.5M. Технологии и инструменты: Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, Semantic Kernel, LangChain, LangGraph, AutoGen/CrewAI, Python или C#/.NET. Фаундеры компании: Nick Robertson, Andrew Regan, Quentin Griffiths, Deborah Thorpe. В компании работают русскоговорящие сотрудники.

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. PROOF OF 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. The Agent Systems team is a 0→1 engineering group building internal AI-powered agents that interact directly with company systems. The mandate is to dramatically increase internal speed of execution through automation, intelligent inference, and workflow orchestration. This team operates at the intersection of AI, backend systems, and applied product engineering. The work is pragmatic and fast-moving — prototypes are expected, but the bar for production reliability remains high. Engineers on this team move fluidly between experimentation and shipping, building systems that reason over user interactions and take meaningful action across internal tools. You’ll work closely with cross-functional partners across product, infrastructure, and internal operations to deploy agent-driven capabilities that compound leverage across the organization.   THE OPPORTUNITY - Build and ship AI-powered agent systems that automate internal workflows and decision paths - Design and implement inference pipelines that reason over user interactions across internal systems - Prototype quickly to validate agent behaviors, then productionize what proves valuable - Architect backend services that integrate with multiple internal APIs and data sources - Define patterns for safe, observable, and controllable agent execution - Collaborate cross-functionally to identify high-leverage automation opportunities - Improve system speed, reliability, and signal quality as usage scales - Contribute to foundational design decisions for a 0→1 agent platform   SKILLS YOU SHOULD HODL - 5+ years of experience building and shipping production software systems - Strong backend engineering fundamentals (APIs, distributed systems, data modeling, reliability) - Experience building fullstack systems, with comfort working across backend and occasional frontend surfaces - Hands-on experience working with AI/ML systems, LLMs, or inference pipelines in production - Ability to prototype rapidly while maintaining a clear path to production-grade architecture - Strong systems thinking — able to reason about orchestration, failure modes, and observability - Comfort operating in ambiguous, 0→1 environments with high ownership   NICE TO HAVES - Experience building or operating agent-based systems or autonomous workflows - Familiarity with prompt engineering, evaluation frameworks, or model performance tuning - Experience integrating with internal enterprise systems (CRM, support tools, analytics platforms, etc.) - Background in building developer platforms or internal tooling - Experience designing guardrails, sandboxing, or safety layers for AI systems 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: United Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria 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. PROOF OF 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. The Agent Systems team is a 0→1 engineering group building internal AI-powered agents that interact directly with company systems. The mandate is to dramatically increase internal speed of execution through automation, intelligent inference, and workflow orchestration. This team operates at the intersection of AI, backend systems, and applied product engineering. The work is pragmatic and fast-moving — prototypes are expected, but the bar for production reliability remains high. Engineers on this team move fluidly between experimentation and shipping, building systems that reason over user interactions and take meaningful action across internal tools. You’ll work closely with cross-functional partners across product, infrastructure, and internal operations to deploy agent-driven capabilities that compound leverage across the organization.   THE OPPORTUNITY - Build and ship AI-powered agent systems that automate internal workflows and decision paths - Design and implement inference pipelines that reason over user interactions across internal systems - Prototype quickly to validate agent behaviors, then productionize what proves valuable - Architect backend services that integrate with multiple internal APIs and data sources - Define patterns for safe, observable, and controllable agent execution - Collaborate cross-functionally to identify high-leverage automation opportunities - Improve system speed, reliability, and signal quality as usage scales - Contribute to foundational design decisions for a 0→1 agent platform   SKILLS YOU SHOULD HODL - 5+ years of experience building and shipping production software systems - Strong backend engineering fundamentals (APIs, distributed systems, data modeling, reliability) - Experience building fullstack systems, with comfort working across backend and occasional frontend surfaces - Hands-on experience working with AI/ML systems, LLMs, or inference pipelines in production - Ability to prototype rapidly while maintaining a clear path to production-grade architecture - Strong systems thinking — able to reason about orchestration, failure modes, and observability - Comfort operating in ambiguous, 0→1 environments with high ownership   NICE TO HAVES - Experience building or operating agent-based systems or autonomous workflows - Familiarity with prompt engineering, evaluation frameworks, or model performance tuning - Experience integrating with internal enterprise systems (CRM, support tools, analytics platforms, etc.) - Background in building developer platforms or internal tooling - Experience designing guardrails, sandboxing, or safety layers for AI systems       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

Про нас: В нашей ML-команде сейчас 5 человек. Мы работаем над: • AI-агентом для работы с облачным хранилищем и документами; • сервисом извлечения данных из контрактов и счетов; • RAG-базой знаний по Fileforce для клиентов; • системой поиска аномалий в пользовательских логах. В разработке активно используем современные AI-инструменты и кодинговые агенты (Claude Code, Codex) Задачи: • Разрабатывать новые и поддерживать/улучшать существующие проекты (backend+ML+участие в деплое), а также улучшать мониторинг и аналитику запущенных проектов Требования: • высшее техническое образование (диплом потребуется для оформления японской рабочей визы) • 3+ года опыта в Machine Learning; • опыт самостоятельного ведения проектов; • опыт с agentic/RAG-системами будет большим плюсом; • опыт разработки с помощью кодинговых агентов; • интерес к новым AI-технологиям и готовность постоянно разбираться в новых подходах; • английский на уровне свободного чтения технической документации • релевантный опыт с частью стека и способность быстро осваивать новое: LangGraph, DeepAgents, FastAPI, PostgreSQL, ClickHouse, Docker, vLLM, OpenAI API, AWS S3, Langfuse, OpenTelemetry, MCP, Redis, AWS SQS. Ответы на 10 важных вопросов: 1. Данные: работа преимущественно с данными (файлами различных форматов) компаний из хранилища через внутреннее API, AWS S3, Elasticsearch 2. Железо: на текущий момент преимущественно AWS инфраструктура, аренда VM под проекты и доступ к моделям по API. При экономической эффективности - собственное развертывание. Для работы: ПК в офисе, подключение к AWS VM по ssh, простой ноутбук для удаленной работы 3. Масштаб влияния на core-бизнес? Сейчас в компании упор на ML проекты, поскольку наша команда отвечает за все ML проекты, то влияние и высокие ожидания от проектов у руководства. 4. Уровень развития Data Science в компании? Запущено несколько крупных проектов, настроена основная инфраструктура/пайплайны (разработка, интеграция с внутренними сервисами, мониторинг, базовая аналитика, практика работы с кодинговыми агентами и тд), при этом улучшение процессов и вовлечения ML проектов в процессы компании продолжается. 5. Роль дата сайентиста: ДС-ы участвуют в проработке и реализации полного цикла проектов/фичей совместно с бэкенд и фронтенд командами 6. Бэкграунд у вашего руководителя? linkedin https://www.linkedin.com/in/nikita-vasilenko-ds/ 7. Как часто вам будут мешать работать? Daily meetings 15-20 мин + обсуждения прогресса/фичей внутри команды по мере необходимости 8. Карьерный рост: рост по зп возможен в рамках ежегодного планирования бюджета 9. Prod/Research: Prod 90% 10. Функция сервиса или лидера? На данном этапе сервисных функций больше.

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity, and we would be interested in applicants located in the US or Canada. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Senior Software (Database) Engineer to help build the underlying storage system for our general purpose data platform. The database layer has both OLAP and OTLP capabilities to support classic analytics queries while also serving up freshly stored data. It embraces the separation of compute and storage and is designed to run on multiple cloud providers. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Take ownership over and build one or multiple parts of the database: Design, implement, test, and operate ingestion, query planning, distributed query execution, data formats, storage formats. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant database service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and database interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve data quickly. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument database services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the database solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with distributed systems, catalogs and table formats, query engines. Mastery of a programming language like golang, C++, or Rust Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building distributed query engines. Experience building data warehouses and/or data lakes. Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In Canada, the Base compensation range for this role is $ 164,490 - $197,389. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity, and we would be interested in applicants located in the US or Canada. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Senior Software (Database) Engineer to help build the underlying storage system for our general purpose data platform. The database layer has both OLAP and OTLP capabilities to support classic analytics queries while also serving up freshly stored data. It embraces the separation of compute and storage and is designed to run on multiple cloud providers. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Take ownership over and build one or multiple parts of the database: Design, implement, test, and operate ingestion, query planning, distributed query execution, data formats, storage formats. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant database service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and database interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve data quickly. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument database services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the database solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with distributed systems, catalogs and table formats, query engines. Mastery of a programming language like golang, C++, or Rust Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building distributed query engines. Experience building data warehouses and/or data lakes. Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In the US, the Base compensation range for this role is $ 154,445 - $185,334. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Грейд: Senior Команда AIFA ищет Senior Python инженера. Стек: Python, Microservices, Distributed Systems, API, Message Queues, Caching, Databases, Load Balancing Сбер Банк — крупнейший российский финансовый конгломерат, предоставляющий широкий спектр банковских услуг для частных лиц, малого бизнеса и корпоративных клиентов.