Вакансии

Задачи: — Вести задачи полностью — от идеи до продакшна — Разрабатывать и развивать компоненты платформы — Проектировать архитектуру и интеграции — Работать с требованиями, моделями данных и алгоритмами расчётов — Общаться напрямую с конечными пользователями — Проводить code review и участвовать в технических обсуждениях — Использовать AI-инструменты на всех этапах разработки Требования: — От 8 лет коммерческой разработки сложных систем — C#, .NET, ASP.NET, Angular — Уверенное использование AI-инструментов — Понимание архитектуры информационных систем и интеграций — Реальный опыт с Claude Code: CLAUDE.md, структурированные промпты, анализ кодовой базы, генерация production-ready кода, рефакторинг, тесты, PR и аудит безопасности — Понимание ограничений LLM и построение безопасного HITL-процесса — Опыт работы с DWH/BI

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Beneficial Deployments: Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most. About the Role: We're looking for an Applied AI Engineer to join our Beneficial Deployments team, focused on maximizing the impact of Claude in the life sciences. Our goal is ambitious: accelerate scientific progress from R&D through translation by an order of magnitude. That means making Claude the go-to tool for the life sciences ecosystem from early discovery in academia to paradigm shifting biotech to reimaging pharma pipelines  — and building the technical infrastructure to back that up. You'll work directly with flagship research partners like Howard Hughes Medical Institute and The Allen Institute, embedded in their scientific workflows. This isn't consulting from the outside — you'll be building alongside their engineers, prototyping agents that fit into real research pipelines, and developing the ecosystem-level tooling (MCP servers, benchmarks, reusable agent skills) that extends Claude's usefulness across the broader life sciences community. This role will be part of the founding Beneficial Deployments applied AI team focused on bringing more of life sciences closer to the frontier and be responsible for building with our partners. Responsibilities: Partner deeply with flagship life sciences research institutions — understand their scientific workflows end-to-end, build hands-on with their engineering teams, and help take projects from early exploration to production systems integrated into how they do science day-to-day. Develop reusable ecosystem infrastructure, like MCP servers for domain-specific data sources (genomics platforms, literature databases, experimental repositories), instruments, scientifically-grounded benchmarks, and agent skills that other institutions can adopt without starting from scratch. Identify what's actually hard about deploying AI in life sciences (heterogeneous data, auditability requirements, the prototype-to-trust gap) and feed those findings back to product, engineering, and research. Create technical content and documentation that lets partners self-serve, so what works for one institution can scale globally without the same level of hand-holding. You Might Be a Good Fit If You Have: 4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder — with production experience shipping systems that real users depend on. Deep research experience in life sciences, biomedical research, or scientific computing. Bonus if you've studied genomics, neuroscience, or drug discovery specifically and are comfortable getting deeply technical with academics. Experience building LLM-powered tools or applications: prompting, context engineering, agent architectures, evaluation frameworks. Builder credibility from shipping production code as a software engineer, forward-deployed engineer, or technical founder. A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $280,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Legal Tech engineers play a specialized and critical role in keeping Claude at the frontier. Partnering closely with counsel, we provide custom infrastructure and guidance for complex, novel technical matters, empowering teams across the company to continue meeting our legal obligations as we innovate. As a Senior+ Software Engineer on our Legal Tech team, you'll build dedicated, highly secure, and reliable cloud environments and data processing and storage capabilities at speed and scale. You will own your scope end to end: from raw requirements all the way through to large-scale production systems that satisfy legal invariants and unlock new possibilities. The systems you build won't just be dependable and scalable; they'll be interpretable and auditable, demonstrating to skeptical audiences exactly how they worked and why results can be trusted. You'll be an essential member of a collaborative team, working together to solve difficult problems against fixed deadlines. You will own internal customer relationships as well: you'll gather, prioritize, and coordinate needs from colleagues on Privacy, Security, Research, and/or Infra as well as Legal, to ship the right capabilities on the right timelines. You'll act as a trusted advisor: clearly explaining technical concepts and constraints to inform legal decisions, and proactively designing new approaches to prevent classes of problems. Your infrastructure expertise will directly empower our business to calibrate and manage risk, innovating faster thanks to systems that build in legal considerations. Key responsibilities Build and operate dedicated cloud infrastructure, storage, and data pipelines for specialized workloads that can't run on general-purpose systems Design architectures with excellent security, privacy, reliability, scalability, and auditability baked in Partner with a wide range of internal customer teams to translate requirements into sound approaches and realistic ETAs Deliver against fixed deadlines Support complex and novel legal requests on controlled infrastructure, with verifiable chain of custody Pair with engineering teams across the company to extend existing infrastructure to support new workflows and/or legal requests Work with nontechnical stakeholders to clarify their needs through responsive, easy-to-follow dialogue Minimum qualifications Experience designing, building, and operating highly trusted infrastructure and data systems in production, including owning architectural decisions Experience working across large, complex, multi-team environments, including in stacks and code you don't own Ability to take ownership of a cloud account and secure it end to end (networking, storage, identity, encryption, least-privilege provisioning, etc.) on AWS and/or GCP Ability to translate legal and privacy requirements into sound technical designs and implementations that teams are excited to adopt A habit of verifying rather than assuming: designing checks for invariants and plainly naming what isn't proved Self-directed in a high-change environment, and comfortable resequencing quickly when new needs emerge Clear communication with nontechnical stakeholders, and an understanding of their needs Preferred qualifications Software engineering experience with an infrastructure, data, privacy, and/or security focus Proficiency with large-scale data tooling, such as distributed processing, lakehouse table formats, and/or query engines Understanding of data processing pipelines, LLM training, and/or provenance and lineage Experience with secure enclaves, confidential computing, clean rooms, or other purpose-built environments for sensitive data Background in eDiscovery, litigation support, or records retention at scale, including chain of custody and verifiable integrity The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Задачи: — Вести продукт от бизнес-проблемы до ценности в production: исследовать процесс заказчика, формулировать jobs-to-be-done / потребности, определять scope, критерии успеха и приоритизировать — Формировать и защищать product decisions: что делаем, что не делаем, почему именно такой вариант — Глубоко понимать техническое решение, чтобы обсуждать с разработчиками и архитекторами ограничения, варианты реализации, стоимость изменений и технические компромиссы — Активно использовать AI в production-процессе (Claude Code, Codex, Cursor и другие agents) — для исследования, прототипирования, проверки гипотез и работы с продуктом — При необходимости самостоятельно исследовать существующую систему и процессы через AI-агента — Быстро собрать prototype / vertical slice — Проверить гипотезу на реальных данных или сценариях — Описать и провалидировать API / интеграции — Провести AI-assisted review решения — Проверить пользовательский сценарий end-to-end — Организовывать работу так, чтобы AI ускорял discovery, валидацию и delivery, а не просто помогал писать тексты и тикеты — Удерживать фокус на результате для бизнеса и пользователя, а не на количестве фич Требования: — Опыт работы Product Manager / Product Owner в software-продуктах или заказной разработке от 5 лет — Техническое образование или опыт в аналитике / разработке — Техническая погружённость: понимание frontend/backend, API, данных, интеграций, ограничений разработки и release-процесса — Способность разобраться в существующей системе (в том числе вместе с coding agent) — Умение отличать сильное продуктовое и техническое решение от слабого и разговаривать с Tech Lead / Senior на одном языке — Реальный опыт работы с AI-агентами (не только ChatGPT), особенно для исследования, прототипирования и проверки гипотез — Умение выстраивать процесс работы с AI: что отдавать агенту, какие решения оставлять человеку, как проверять результат и снижать риски галлюцинаций — Способность проходить путь: business problem → discovery → scope → solution → prioritization → delivery → verification → value — Умение выбирать простое и быстрое решение вместо технологически красивого, но долгого, когда оба закрывают потребность Будет плюсом: — Опыт самостоятельного создания с AI работающего продукта, внутреннего инструмента или automation — Опыт работы с coding agents, MCP, Playwright, agent orchestration Условия: — Удаленный формат с гибким графиком — Официальная оплата, прозрачные условия и регулярный пересмотр компенсации — Доступ к ИИ-инструментам разработки за счёт компании — Переработки не приветствуются, но если бывают — честно оплачиваются — Компенсация участия в конференциях, поддержка публикаций и выступлений — Минимум бюрократии, максимум свободы и доверия

Задачи: — Развивать архитектуру модульного backend-приложения, REST API и бизнес-логику, включая валидацию, обработку ошибок и документацию; — Проектировать модели данных и миграции, оптимизировать запросы и кеширование; — Развивать аутентификацию, авторизацию и ролевую модель; — Контролировать доступ к внешним данным и управлять подключениями; — Программно управлять контейнерными средами: от создания и ожидания готовности до обработки сбоев и освобождения ресурсов; — Развивать AI-функции: потоковые диалоги, хранение истории, сокращение контекста, агентные инструменты и RAG — от подготовки данных до использования найденного контекста в ответах; — Обеспечивать проверку прав, согласованность состояния и обработку ошибок при выполнении удалённых операций и вызовах инструментов; — Писать тесты, диагностировать production-проблемы, развивать наблюдаемость, согласовывать API с frontend-разработчиками. Требования: — Уверенное владение Java, опыт production-разработки на Spring Boot и готовность работать с Java 21 и Spring Boot 3.5; — Опыт проектирования архитектуры и REST API, самостоятельного принятия технических решений и развития существующей кодовой базы; — Знание Spring MVC, Spring Security, Spring Data JPA/Hibernate, валидации запросов и документирования API через OpenAPI; — Практический опыт PostgreSQL, SQL и Liquibase; — Понимание транзакций, индексов, оптимизации запросов, кеширования и пулов подключений; — Опыт подключения внешних реляционных источников, включая MS SQL Server, и разграничения доступа к данным; — Опыт реализации аутентификации и авторизации с JWT, OAuth2 и OIDC/SSO; — Владение Maven и Git; — Опыт OpenFeign для HTTP-интеграций, JGit для работы с репозиториями, MapStruct для преобразования объектов и Ehcache для кеширования; — Практический опыт Docker и программного управления контейнерами через docker-java; — Знание Docker Compose, Docker Swarm, Traefik и GitLab CI на уровне настройки окружения, понимания сборки и развёртывания, диагностики проблем; — Практический опыт LLM API и LangChain4j: потоковые ответы через SSE, история диалогов и управление контекстом; — Опыт построения RAG, работы с эмбеддингами и векторным поиском в Qdrant; — Опыт агентных сценариев, вызова инструментов и MCP-интеграций с проверкой прав и обработкой ошибок; — Опыт модульного и интеграционного тестирования с JUnit и Testcontainers, включая проверки с базами данных; — Навыки диагностики по логам, метрикам и трассировкам с использованием Actuator, Micrometer, OpenTelemetry и OTLP; — Понимание трассировки AI-вызовов; — Понимание React и TypeScript на уровне согласования API-контрактов и совместной диагностики frontend/backend; — Понимание специфики корпоративного ПО для внешних заказчиков: ролевой модели и безопасности, интеграций с их ИТ-ландшафтом, требований к надёжности и влияния изменений на процессы пользователей. Что важно: — Уметь общаться с бизнес-заказчиками, выявлять реальную потребность за первоначальным запросом, уточнять требования, объяснять варианты решения и переводить бизнес-задачи в техническую реализацию; — Готовность работать итерационно: сформулировать гипотезу, обсудить ее, проверить, скорректировать и двигаться дальше; — Самостоятельно прорабатывать задачи, проверять гипотезы и учитывать обратную связь; — Декомпозировать работу, оценивать сроки, согласовывать приоритеты и своевременно сообщать о рисках и необходимости помощи; — Отвечать за результат до эксплуатации, учитывать пограничные сценарии и последствия изменений; — Аргументировать решения, слышать коллег, конструктивно давать и принимать обратную связь; — Проводить code review, делиться знаниями и помогать другим разработчикам; — Находить баланс между пользой для пользователя, качеством, сложностью реализации, техническим долгом и сроками. Условия: — Работа над корпоративным продуктом, объединяющим backend, интеграции, контейнерные среды и AI; — Развитие экспертизы в AI-инженерии и агентных системах; — Оформление по ТК РФ, после испытательного срока подключение к ДМС, компенсация спортивных программ; — Работа в аккредитованной IT-компании (льготы IT ипотеки, отсрочки); — Возможность работы в одном из офисов или удаленно, преимущественно по желанию сотрудника; — График работы 5/2, гибкое начало рабочего дня, отсутствие дресс-кодов и только полезная бюрократия; — Интересные корпоративные мероприятия, клубы по интересам; — Система профессионального, карьерного и финансового развития.

Задачи: — Разработка новых разделов и приложений на Vue 3 (Composition API, Pinia, Vue Router), сборка Vite, CSR- и SSR-бандлы. — Ручное тестирование новых задач и регресс перед каждым релизом по чек-листам. — Исследовательское тестирование ключевых сценариев: каталог → карточка товара → корзина → оформление заказа → оплата. — Кросс-браузерная и кросс-девайсная проверка: десктоп, мобильные браузеры, iOS и Android. — Составление и поддержка тест-кейсов и чек-листов, заведение баг-репортов с шагами воспроизведения, приоритизация совместно с командой. — Приёмка задач коллег по критериям готовности. — Автотесты на Playwright: Chromium и WebKit, мобильные вьюпорты, визуальная регрессия, smoke-тесты на продакшене. — unit-тесты на Vitest с MSW. — Стратегия тестирования: что проверяем вручную, что покрываем e2e, что unit-тестами. — Постановка задач AI-агентам (Claude Code, Codex и аналоги), приёмка и ревью их результата. — Развитие правил и инструкций для агентов, а также тестовой обвязки, которая автоматически выявляет их ошибки. Требования: — Опыт ручного тестирования веб-приложений: тест-кейсы и чек-листы, тест-дизайн (граничные значения, классы эквивалентности), регресс, качественные баг-репорты. — Уверенная работа с DevTools: сеть, консоль, эмуляция устройств. — Умение определить, на чьей стороне дефект — фронтенда или бэкенда. — Практический опыт автотестов на Playwright: page objects или фикстуры, стабильные селекторы, устранение нестабильных тестов, запуск в CI. — От 3 лет коммерческой разработки на Vue, уверенное владение Vue 3 и Composition API. — Уверенный JavaScript (проект без TypeScript), понимание работы браузера, SSR и гидрации. — SCSS, адаптивная вёрстка, работа с Figma. — Опыт работы с AI-агентами в разработке: декомпозиция задач для агента и критическая проверка результата. — Git, код-ревью, внимательность к деталям и готовность регулярно заниматься ручными проверками. Условия: — Оформление в соответствии с ТК РФ. — Своевременная заработная плата. — Корпоративные скидки для сотрудников на приобретение продукции компании, а также ДМС на индивидуальных условиях. — Собственный Корпоративный Университет компании гарантирует профессиональное обучение и развитие. — Удаленный формат работы. — График работы 5/2 с 10 до 18:30.

Задачи: — Проверять новые возможности CRM: от требований и критериев приёмки до API, интерфейса, интеграций и поведения после релиза; — Проводить исследовательское тестирование, находить граничные случаи, проверять права доступа, корректность данных и обработку ошибок; — Разрабатывать и поддерживать API, интеграционные и E2E-автотесты; — Встраивать автотесты в CI/CD, разбирать падения и устранять нестабильность тестов; — Использовать AI-агентов для анализа требований и кода, подготовки сценариев и тестовых данных, написания автотестов и воспроизведения багов; — Настраивать для AI-агентов контекст, инструкции, skills и доступ к инструментам через MCP и API; — Вместе с командой развивать автоматизацию QA; — Локализовать дефекты по логам, метрикам, запросам к БД и сетевому трафику; — Описывать условия воспроизведения и проверять исправления; — Оценивать риски релиза и объяснять команде, что проверено, где остаются пробелы и какие дефекты мешают выпуску. Требования: — Опыт тестирования веб-приложений и сопровождения релизов: от требований до проверки после выката; — Автоматизация на Python или TypeScript/JavaScript: написание и отладка тестов, в том числе без помощи AI; — Опыт с Playwright или аналогами (Cypress, Selenium): разработка и поддержка E2E-автотестов; — Уверенная работа с HTTP, API, SQL, Git, CI/CD и Docker; — Знание техник тест-дизайна: негативные и граничные сценарии, права доступа, обработка ошибок; — Практический опыт с AI-агентами (Claude Code, Codex или аналоги) на реальных проектах; — Умение диагностировать дефекты по логам, метрикам и трафику; — Готовить понятные баг-репорты. Будет плюсом: — Опыт с pytest, FastAPI, React, PostgreSQL, Grafana, Loki; — Нагрузочное тестирование, безопасность, оценка качества AI-функций; — Свои агенты, MCP-интеграции, инструменты автоматизации QA. Условия: — Удалённый формат работы; — Продукт — CRM и экосистема Prionex; — Участие в задаче с момента обсуждения требований; — Вместе с командой развивать автоматизацию QA; — Выбирать модель и инструменты с учётом качества, скорости и стоимости.

Задачи: — проектировать архитектуру микросервисных систем и интеграций — разрабатывать высоконагруженные сервисы на Python — проектировать и разрабатывать API (REST, gRPC) — работать с асинхронными и event-driven подходами (Kafka) — обеспечивать отказоустойчивость, масштабируемость и наблюдаемость сервисов — оптимизировать производительность и работать с узкими местами — участвовать в code review и развитии инженерных практик команды. Требования: — опыт коммерческой разработки на Python от 4-х лет — опыт проектирования и разработки микросервисной архитектуры — навык разработки высоконагруженных и отказоустойчивых систем — уверенное знание PostgreSQL/ Redis (индексы, транзакции, оптимизация) — опыт работы с Kafka или другими брокерами сообщений, а также разработки асинхронных приложений — понимание CI/CD процессов и практик — опыт работы с Kubernetes/ OpenShift. Будет плюсом: — опыт промышленной разработки на Go — опыт работы с observability (метрики, логи, трейсы) — знание инфраструктурных решений (виртуализация, storage, сети) — опыт работы с security-протоколами (TLS, mTLS) — понимание принципов работы LLM и AI-ассистентов — понимание работы с контекстом, prompt design, MCP — опыт использования AI-инструментов в разработке. Условия: — комфортный современный офис рядом с м. Кожуховская по адресу: 2-й Южнопортовый проезд,12А, к1 — формат работы офис на время адаптации, далее гибрид — ежегодный пересмотр зарплаты и годовая премия — корпоративный спортзал и зоны отдыха — более 400 образовательных программ СберУниверситета для профессионального и карьерного развития — расширенный ДМС, 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 (HQ); San Francisco, CA; Remote (US) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT PRODUCTION ENGINEERING Production Engineering is Ramp's infrastructure ownership layer. We exist to make Ramp faster, more reliable, and more scalable — and we do that by being embedded in the problems, not adjacent to them. A few things that define how we operate: - One team, one company, one objective. There is no "infra team" and "product team" — there is Ramp. We share the company's goals as our own. When a product team struggles with reliability or scalability, that is our struggle. - If reliability or scalability is at risk, we own it. We don't wait to be invited, and we don't ask whose code it is. If a system is slow, if it breaks, if it won't scale — that's ours to lead, regardless of where it lives in the stack. - We go first, and we go fast. When the path isn't obvious, we don't wait for someone else to find it. We move with urgency, propose the solution, align the stakeholders, and stay in until it's done — not until our ticket is closed. - We lead the way. We find the next problem before it finds us. And when we solve it, we don't just fix it for ourselves — the patterns and standards we establish become the foundation the rest of Ramp builds on. That's not a side effect of the job; it's the job. - We stay calibrated. Speed means nothing if we're moving in the wrong direction. We regularly stop and ask honestly whether what we're working on is still the highest-leverage thing we could be doing — the discipline that makes sure our effort compounds toward what actually matters. You cannot build the future of finance on shaky infrastructure. OUR TEAMS Production Engineering is organized into teams — but we think about teams differently. Teams are mutable. We build them around what needs to be done, not around what we need to do given the teams we already have. The structure below reflects our current priorities; it will evolve as Ramp does. Right now, we operate across four areas: - Compute — the foundation everything runs on: container orchestration, networking, load balancing, edge infrastructure, and the deployment systems that get code from engineers' laptops to production reliably and at scale - Storage — databases, caching, object storage, and the data infrastructure that underpins everything - Workflows & Messaging — the systems that power Ramp's financial workflows and event-driven architecture - Developer Infrastructure — the platform that makes every builder at Ramp faster and more autonomous: observability, cost attribution, and CI/CD systems that give teams visibility into what they build and what it costs WHAT YOU'LL DO Production Engineers at Ramp are full software engineers who happen to specialize in infrastructure. You write production code, you own systems end-to-end, and you drive technical outcomes across the organization — not just within your team. As a Tech Lead & Manager, you are a hands-on player-coach: you will lead and grow a team while remaining directly engaged in the technical work. Management at Ramp does not mean stepping away from the technology or the code. You will help set direction, develop engineers, and work alongside the team to deliver consequential infrastructure outcomes. Day to day, you will: - Build, coach, and grow a high-performing team. Create clarity, give direct feedback, mentor engineers, and help each person expand their technical judgment, ownership, and leadership. - Set technical direction for your team’s domain. Identify the highest-leverage problems, define a path forward, bring the right people along, and stay engaged with the team until the work is delivered. - Build and operate critical infrastructure across Ramp's compute, storage, messaging, and observability stack — owning the systems that handle real financial transactions at scale. - Drive architectural change — not just flag problems. When you surface a reliability or scalability issue, you own the path forward: you propose the solution, find the owners across engineering, and stay in until it's resolved. - Partner with product teams at the design phase — reviewing architectures, embedding golden paths, and making it easy to build correctly the first time. - Build Ramp's next level of scale — you'll be a hands-on contributor to the most consequential infrastructure shift happening right now: our move to a cellular architecture, enabling Ramp to scale, reach international markets, operate in highly regulated and constrained environments (e.g. FedRAMP), and deliver on enterprise-grade SLAs. - Enable AI-native engineering — as Ramp builds increasingly AI-powered products, PE is the team that makes sure the platform can support them. You'll proactively partner with product teams on AI infrastructure patterns, define the golden paths that turn one-off solutions into reusable foundations, and stay ahead of emerging challenges before they become blockers. - Build developer tooling and self-service infrastructure — so that other teams can answer their own questions (cost, performance, reliability) without involving PE. - Participate in on-call rotation — and more importantly, use every incident as a signal to eliminate the root cause, not just resolve the symptom. - Lead across the company — PE doesn't just review designs or show up when called. We proactively initiate cross-team architectural reviews, and we take full ownership of company-wide reliability and scalability initiatives: identifying the problem, proposing the solution, aligning the stakeholders, and staying in until it's done. WHAT WE LOOK FOR We don't hire for a checklist. We hire for the instincts that make someone exceptional on this team. The mindset we're looking for: - You love building teams, mentoring engineers, and helping people grow—and you are equally energized by writing code, reviewing designs, and digging into complex distributed systems. - You are a true player-coach. You know when to coach, delegate, and create space for others to lead; you also know when your direct technical involvement will create the most leverage. - You can set a technical direction, bring people along, and then lock in with the team to make it happen. - You do not believe managing engineers means stepping away from the technology or the code. - You can't walk past something broken without wanting to fix it — and you don't stop at the workaround. You find the root cause and eliminate the class of problem. - You think in systems, not tasks. You understand that "fixing the bug" is step one; making it so the bug can't happen again is the job. - You move with urgency but without chaos. You know when to go fast and when to slow down and do it right. - You treat product teams as your users. You build for them, communicate with them proactively, and measure success by how much faster they can ship. But you're also an owner — when something is broken or blocking, you don't wait to be asked. We win when our customers win. - You leave things better than you found them. Every system you touch, every process you encounter — you move it forward. Not always dramatically, but always directionally. You picked it up in a certain state; you leave it in a better one. - You are equally comfortable reading a database query plan, reviewing a system design doc, writing a Terraform module, and jumping into an incident at 2am. Experience profile: - 8+ years of software engineering experience, including a track record of shipping high-quality architectures for critical systems. - Staff+-level technical leadership: experience setting technical direction and leading complex, multi-quarter technical initiatives from ambiguous problems through durable production outcomes. - Experience managing, mentoring, and developing engineers. You create clarity, give direct feedback, and help people grow in technical judgment, scope, and leadership. - A sustained hands-on engineering track record. You are comfortable writing and reviewing production code, evaluating system designs, debugging incidents, and making difficult technical tradeoffs. - Hands-on experience building and operating distributed systems at production scale. - Strong software engineering fundamentals — you write clean, well-tested, production-ready code and set that standard for the team. - Experience with at least one major cloud provider (AWS preferred). - Familiarity with observability and reliability practices, including SLOs, error budgets, alerting, dashboards, and incident response. - Track record of delivering through cross-functional coordination: aligning stakeholders, unblocking teams, and staying accountable for the outcome. - Comfortable using AI tooling and coding agents as part of your everyday engineering workflow — and helping a team use them to move faster and think bigger. Bonus (not required): - Experience with cellular or multi-tenant architecture patterns - Prior work on workflow orchestration systems (Temporal) - Contributions to developer experience or internal platform tooling - Experience in fintech, payments, or regulated industries (FedRAMP, SOC 2) BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Задачи: — Разрабатывать и поддерживать модули Terraform/OpenTofu для vSphere VM provisioning, настройки размещения и resource-pool, интеграции cloud-init/cloudbase-init согласно дизайнам VMware Architect. — Создавать и запускать Ansible playbooks для пост-провиженинга конфигурации на VMware VM. — Обеспечивать модули VMware DRS (правила affinity/anti-affinity, resource pools) и vSAN (storage policy). — Помогать в создании и тестировании модулей SRM (protection groups, recovery plans) и HCX (site pairing, network extension), включая тестирование отказоустойчивости. — Сотрудничать с Network Architect по реализации NSX-T сегментов и правил DFW для VMware нагрузок. — Диагностировать и решать производственные проблемы в VMware automation модулях на этапах внедрения и адаптации. — Участвовать в тестировании модулей и документации согласно стандартам платформы Infrastructure as Code Engine. Требования: — Опыт 3+ лет в разработке и эксплуатации VMware automation. — Экспертные знания vSphere, DRS и vSAN через Terraform/OpenTofu и Ansible. — Опыт тестирования VMware, включая paired-site и failover тесты для HCX/SRM. — Знания NSX-T сетевой сегментации и распределённого файрвола (DFW) для взаимодействия с Network Architect. — Навыки настройки Windows guest (cloudbase-init) и Linux cloud-init. — Профессионализм в Terraform (IaC) и Ansible (CaC) разработке. — Умение работать с AI-поддержкой через GitHub Copilot. — Свободное владение английским языком на уровне B2 и выше. Желательно: — Опыт интеграции VMware provisioning с golden-image pipelines. — Знания Microsoft Azure. Условия: — Полная занятость. — Удалённая работа.

Role Summary: We are seeking a skilled Electrical Engineer as an independent contract worker to support the design and coordination of cutting-edge data center projects across the U.S. Responsibilities include modeling, designing power distribution, security and life systems, standby generators and UPS systems, performing calculations, preparing technical documentation, and ensuring design accuracy using advanced BIM and electrical engineering tools. Collaboration with other disciplines throughout the full project lifecycle from schematic design through execution is required. Strong technical knowledge, attention to detail, and excellent communication skills are essential. Key Responsibilities: — Use BIM tools to virtually construct electrical systems and coordinate with other disciplines using tools such as Autodesk Revit (mandatory). — Develop a thorough understanding and delivery of project requirements related to scope, cost, and schedule. — Determine and expedite engineering deliverables for projects. — Develop and maintain project scope of work documentation and revisions during design evolution. — Design electrical systems including power distribution, UPS, standby generators, and security and life systems. — Prepare engineering calculations, schematic and detailed designs. — Prepare technical documentation including design criteria, calculations, process flow sheets, and specification/data sheets for electrical equipment. — Review shop drawings. — Produce models and drawings in various BIM software and CAD modeling tools. Qualifications & Experience: — Bachelor’s or master’s degree in engineering. — Proven expertise as an electrical engineer. — Written and spoken English at B1 level or higher. — Experience in electrical design for industrial, residential, and commercial sectors, including medium and low voltage distribution, lighting, grounding, and lightning protection. — Experience with various electrical modeling software. — Hands-on experience with Autodesk Revit (mandatory). — Experience working on projects in multidisciplinary environments. — Deep knowledge of electrical manufacturing processes. — Understanding of electrical engineering codes and safety standards. — Proficiency in Microsoft Office (Word, Excel, Outlook). — Ability to multitask and prioritize to meet project deadlines. — Self-starter, ambitious, thriving in fast-paced environments. — Ability to communicate technical knowledge clearly. — Excellent communication skills. What We Offer: — Experience in a high-tech industry working for an international company. — Unique, cutting-edge data center projects. — Dynamic work partnering with a professional engineering team. — Competitive hourly rate. — Ability to collaborate remotely. — Supportive dynamic environment. — English classes available. Additional Information: — Engagement is on a long-term independent contractor basis with a US-based company. — Not limited to a single project; involves continuous collaboration across multiple mission-critical projects. — Ehvert Mission Critical is a business unit within Salas O’Brien, specializing in data center design and construction management. — Projects include hyperscale and AI data centers for global tech giants such as Microsoft, Oracle, Uber, and Amazon. — Use of advanced technologies such as BIM, Virtual Design and Construction (VDC), digital twins, and augmented reality. Location: — Based in Tirana, Albania with remote work format. How to Apply: — Submit resume in English detailing relevant experience via the provided application URL.

Location: Hybrid - San Francisco 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 We are looking for a Product Manager to join our Product team. You will own Vercel's compute platform — Fluid compute, Vercel Functions, Sandbox, and more — the layer that runs every workload our customers deploy. You will set the direction for how developers configure, scale, and run code on Vercel, from a single function, to multi-service architectures, to agents. You will report to the Product Lead and will be located in San Francisco, CA (hybrid). Vercel invested in its own microVM-based compute infrastructure externally called “Fluid compute”. Fluid changed what’s now possible to run on Vercel. For example, we’ve delivered Sandboxes, a new primitive to run untrusted and agent-generated code. We are just scratching the surface of what Fluid can deliver. This is a senior role with wide latitude: you'll decide where that platform goes next. If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. What you'll do Own the product vision, strategy, and multi-year roadmap for Vercel's compute platform. Define how Vercel serves AI and agent workloads, where long-running, I/O-bound, and code-executing tasks have a fundamentally different compute profile than traditional request/response traffic. Shape the developer experience of running workloads on Vercel: resource model, attributes, API and config files. Partner with Engineering on the performance and reliability bar for compute, including cold starts and creation time latency Define pricing for new products and resources. Set the compute primitives that adjacent product areas build on, and work with those teams on what they need from the platform Work directly with Enterprise customers and the field on compute requirements that block adoption or scale What you need You've built and shipped infrastructure or developer platform products, ideally compute, serverless, containers, or runtime platforms You have the technical depth to reason about concurrency, cold starts, isolation models, and the cost and performance tradeoffs of a compute platform You have owned a platform area that other product teams build on, and set technical direction others adopted You have experience with AI or agent workloads and how their resource profile differs from conventional web traffic You have experience working directly with Enterprise customers on infrastructure requirements You have experience using usage and product analytics data to drive roadmap decisions Bonus if you Have worked at a cloud provider or on a serverless, container, or edge compute platform Have an engineering background or have built software yourself Have worked on multi-runtime platforms and the tradeoffs of supporting several language runtimes Have worked on sandboxing, isolation, or secure execution of untrusted code 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 $208,000 - $312,000. 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: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Design at Anthropic sits at the intersection of craft, research, and product intuition. We're a small team working on products that millions of people use daily—and on interactions that don't have established conventions yet. Our work shapes how people experience AI: whether Claude feels like a tool or a collaborator, whether it earns trust or erodes it. We partner closely with engineers and researchers, often designing around capabilities that are emerging in real-time. That means staying close to the models, prototyping rapidly, and being comfortable with ambiguity. We care deeply about craft—the details that make something feel polished and trustworthy—but we ship fast and learn in the open. We'd rather get something in front of users and iterate than wait for perfection. We're looking for designers who ship fast and stay in motion—people who would rather get something in front of users this week than perfect it for a month. You're excited to question fundamental UI assumptions and invent patterns that feel native to AI, and you're already using tools like Claude Code to extend what you can build. You pay attention to where model capabilities are heading, not just what Claude can do today, and you find ways to keep caring about the pixels, the copy, and the edge cases while shipping quickly. Read more here for the type of features we build. Key responsibilities Collaborate with product managers, engineers, AI researchers and other stakeholders to define product vision, strategy and roadmaps, and play an active role in shipping. Understand the technical architecture of our products and define primitives for new capabilities. Define feature areas with exceptional attention to detail and polish, identifying opportunities to improve quality and consistency of broader flows Craft beautiful, polished, and delightful user interfaces that build trust and showcase the power of our AI technology Comfortable in code, design, prototypes, and learning new ways to communicate ideas and concepts Find creative ways to ship high-quality work in a fast-paced, often ambiguous, resource-constrained startup environment Minimum qualifications Experience designing and shipping complex workflows, enterprise/B2B SaaS, developer tools, or API products end-to-end Proven track record of executing end-to-end on large and complex products, or a series of products, in ambiguous environments A portfolio demonstrating user-centered design thinking and polished UI craftsmanship Proficiency with modern design and prototyping tools, such as Figma Experience using AI tools such as Claude Code as a creative partner in your own design practice Excellent collaboration and communication skills to work effectively with cross-functional teams and influence without authority Preferred qualifications Experience prototyping with front-end code (e.g., HTML/CSS/JS) Passion for crafting scaled, highly impactful, safe and beneficial artificial intelligence technologies to enable new possibilities The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 — $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

О вакансии: Главный PHP-разработчик в команду MAGNIT TECH. Формат работы: гибрид или офис (Москва, Краснодар), удалённо из других городов РФ. График 5/2 с гибким началом. Оформление в аккредитованную ИТ-компанию. Обязанности: — Разрабатывать backend на Laravel — Проектировать и описывать отказоустойчивую бизнес-логику на PHP 8.x с использованием возможностей Laravel — Оркестрировать ИИ через Dify; — разворачивать, конфигурировать и интегрировать Dify (Workflow, Agents, RAG); — связывать backend приложения с Dify API — Проектировать и разрабатывать API (RESTful, gRPC) — Создавать чистые, документированные RESTful/gRPC контракты для мобильных и веб-клиентов — Управлять асинхронными процессами, оптимизировать тяжелые запросы к LLM через очереди (Laravel Queues/Horizon) — Настраивать потоковые передачи ответов (Server-Sent Events / стриминг) — Проектировать и оптимизировать схемы реляционных БД под хранение истории диалогов, контекста, логов и сессий ИИ — Писать Unit/Feature тесты (Pest/PHPUnit) — Участвовать в Code Review и поддерживать высокие стандарты кодовой базы Требования: — Коммерческий опыт разработки на PHP от 4 лет, из которых не менее 2 лет — активная работа с Laravel — Глубокие знания баз данных и систем кэширования: Redis и PostgreSQL — Глубокое понимание асинхронного взаимодействия сложных систем, очередей и планировщиков задач (Cron) — Уверенные знания SQL; — опыт оптимизации сложных запросов, индексации и проектирования архитектуры данных для высоконагруженных систем — Опыт написания тестов (Pest/PHPUnit) Будет плюсом: — Опыт интеграции Dify или аналогичных LLM-оркестраторов (Flowise, Langhope) — Понимание специфики LLM: токенизация, контекстные окна, эмбеддинги и семантический поиск

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Our engineers are extremely high leverage: we simultaneously drive multiple major revenue streams while optimizing one of Anthropic's most precious resources: compute. As we expand to more cloud platforms, the complexity of managing inference efficiently across providers with different hardware, networking stacks, and operational models grows significantly. We need product-minded backend engineers who can navigate these platform differences, design the services and abstractions that work across providers, and make architectural decisions that keep us reliable and cost-effective at massive scale. Your work will increase the scale at which our services operate, accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms, and ensure our LLMs meet rigorous safety, performance, and security standards. Key responsibilities Design, build, and own backend services and infrastructure that serve Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models Work cross-functionally with internal inference, product API, systems, and security teams, among others, and with CSP partners to stand up the full serving stack on new cloud platforms, resolve operational issues, and influence provider roadmaps Build and evolve CI/CD automation systems, including validation and deployment pipelines, that reliably ship new model versions to millions of users across cloud platforms without regressions Design interfaces and tooling abstractions across CSPs that enable cost-effective inference management, scale across providers, and reduce per-platform complexity Contribute to capacity planning, autoscaling, and workload routing strategies that match supply with demand and direct requests to the most cost-effective accelerator and region Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads Minimum qualifications Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration Are curious about LLM serving; prior inference or ML experience is not required Thrive in cross-functional collaboration with both internal teams and external partners Have experience working with external partners to align goals and deliver impact Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description Preferred qualifications Direct experience working with CSPs to scale infrastructure or products across multiple platforms, navigating differences in networking, security, privacy, billing, and managed service offerings Hands-on experience with capacity management, cost optimization, or resource planning at scale across heterogeneous environments Solid understanding of multi-region deployments, geographic routing, and global traffic management Proficiency in Python or Rust The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Within Cloud Inference, the model & inference launch team owns the validation pipeline for our inference server and load balancer on these platforms. We're responsible for every inference change — model launches, performance improvements, safeguard integrations — landing on cloud platforms with correctness, performance, and reliability intact. This is high-leverage infrastructure work: validation has to be fast and cheap enough to run on the same accelerators that serve customers, trustworthy enough to replace manual checks, and consistent enough that a change working on Anthropic first-party means it works everywhere. This directly determines how fast frontier models and features ship to every cloud platform, and how quickly performance wins reach production — reclaiming capacity at a time when compute is our scarcest resource. Key responsibilities Be on the critical path for frontier model launches, bringing up inference for new model architectures and shipping them to cloud platforms in lockstep with our first-party platform Work with the core inference team to bring new inference features (e.g. structured sampling, prompt caching, and more) to cloud platforms, owning the platform-specific integration that gets them to production Identify and dive deep on the gaps that make inference behave differently across first-party and CSPs — config drift, observability, deployment patterns, hard cross-platform bugs — and fix them at the source rather than building platform-specific workarounds Design, build, and own the CI/CD infrastructure for the inference server and load balancer across cloud platforms, with shadow traffic, performance baselines (throughput and latency), and correctness checks that catch regressions before production Drive down merge-to-production cycle time by making validation faster, more parallel, and cost-effective enough to run on the same constrained accelerator pool that serves customers, without trading away reliability Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads Minimum qualifications Have a strong interest in LLM serving; prior inference or ML experience is not required Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users Have a track record of building automation or test infrastructure that measurably improved release velocity or reliability Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration Thrive in cross-functional collaboration with both internal teams and external partners Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description Preferred qualifications LLM inference optimization, batching, and caching strategies Capacity-constrained scheduling or shared-resource test infrastructure Solid understanding of multi-region deployments, request routing, load balancing, global traffic management Working with CSP partner teams to scale infrastructure across multiple platforms, navigating differences in networking, security, privacy, and managed service Proficiency in Python or Rust The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Boston, Massachusetts, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. At Hasbro, our mission is to entertain and connect generations of fans through the wonder of storytelling and exhilaration of play. We’re looking for adventurous and curious people who want to explore, experiment, and innovate to come up with the best ideas. Our culture has inspired our diverse team of highly skilled, highly creative, and highly committed individuals for 100 years and we believe the best is yet to come. Are you ready to take ownership, problem solve and keep our payroll operations running with precision? We have an opportunity for a Senior Payroll Specialist to join our team! Reporting to the Director, Global Payroll, t he Sr Payroll Specialist is responsible for executing accurate and compliant payrolls across multiple jurisdictions. The role requires strong analytical skills, technical understanding of payroll systems (ADP, SAP), and a focus on continuous improvement. This position ensures payroll accuracy, compliance with regulations, and seamless employee experience, supporting Hasbro’s global payroll transformation objectives. The role acts as a bridge between operations and management, collaborating closely with payroll team members and driving continuous process improvement. This role will co-manage 5 pay groups (2 biweekly hourly, 2 biweekly salary, and 1 monthly) in ADP Vantage, & eTime, while supporting the implementation of ADP GlobalView and Workforce Manager. This is a critical, high-visibility role, and we are seeking the best candidate to bring their expertise of payroll, tax, compliance, and innovative, tech-driven payroll processes. Effective from the date that Hasbro opens its new Boston location, this position will be onsite Tuesday – Thursday at Hasbro’s new HQ location in Boston, MA. In the interim, this position will be onsite Tuesday –Thursday at Hasbro’s HQ in Pawtucket, RI or at Hasbro’s temporary location in Boston, MA. A day in the life: Manage multi-state processing and reporting, including state tax registrations, withholding accounts, and unemployment accounts. Maintain payroll system accuracy, including earnings codes, deductions, tax configurations, and pay rules. Process and validate payroll results, balancing gross-to-net calculations, reconciliations, and audit trails. Review and analyze employee master data, time and attendance, and variable pay inputs for correctness. Reconcile payroll results, support general ledger accuracy, and identify discrepancies. Support payroll close, tax filings, and year-end reporting. Manage payroll inquiries through effective communication and resolution. Collaborate cross-functionally with HRIS, HR Operations, and Finance to maintain data accuracy. Serve as an SME for system functionality, upgrades, and cross-functional process enhancements. Develop, maintain, and implement policies and standard operating procedures to ensure compliance with internal controls Lead payroll audits and internal control testing, ensuring compliance with SOX requirements. What you'll bring: Bachelor's degree in Finance, Accounting, Human Resources, Business Administration, or a related field. CPP designation with PayrollOrg highly preferred 7+ years of hands-on payroll processing experience Strong experience with multi-state payroll and complex tax scenarios Proficiency with ADP or SAP payroll systems highly preferred. Experience with supporting payroll system conversion or HCM implementation Experience supporting SOX, financial and compliance audits, and 401(k) plans Strong preference for experience at a publicly traded company. Proficient with Microsoft Office suite (i.e., Word, PowerPoint, Excel, Outlook, SharePoint, etc.); strong Excel skills required with ability to produce clear, auditable data Ability to manage and prioritize multiple tasks in a fast-paced environment. Established success in assessing, redesigning, and automating manual processes using RPA, bots, and other process-improvement technologies to achieve greater The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $75,100 — $112,700 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: Remote; San Francisco; New York Workplace: Remote Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. We offer creators a variety of ways to engage with their fans and build a lasting business including: paid memberships, free memberships, community chats, live video, and selling to fans directly with one-time purchases. Ultimately our goal is simple: fund the creative class. And we're leaders in that space, with: - $10 billion+ generated by creators since Patreon's inception - 100 million+ free memberships for fans who may not be ready to pay just yet, and - 25 million+ paid memberships on Patreon today. We're continuing to invest heavily in building the best creator platform with the best team in the creator economy and are looking for a Security Engineer to support our mission. This role is Fully Remote (US only), or can be based in New York or San Francisco (where it is open to those who are able to be in-office 3 days per week on a hybrid work model.) About the Team Patreon’s security team works to protect Patreon creators and their fans. The team deals with all facets of Patreon’s security, including application security, infrastructure security, and internal/corporate security. We’re a small but effective team. We write code to solve security problems and work closely with our partners across the engineering organization. We also understand the importance of balancing security risks against business needs. We strive for honest and effective communication and focus on pragmatically reducing risk over checking boxes. The security team is part of Patreon’s Risk Engineering org, which also includes our Safety Engineering and Identity and Access teams. Collectively, the risk org tackles a range of problems including content moderation, internal tooling, identity verification, access control, and account security. About the Role In this role, you’ll be a member of our Security team. You’ll split your time between contributing to security projects and responding to security investigations, vulnerabilities, or questions. The work spans application security, infrastructure security, and internal/corporate security. It includes both proactive and reactive security work. You’ll be part of an on-call rotation and help respond to security incidents and investigations. You’ll write code – both to support security work and to improve the security of the Patreon platform. You’ll work closely with other members of the security team, the wider Risk engineering org, and cross functional partners in engineering, legal, and IT. Your work will help reduce known risks and will protect the security, privacy, and trust of Patreon creators and their fans. What you’ll need: - You have two or more years of experience reducing security risks in the application, infrastructure, or corporate security spaces. You can create a threat model and to explain why a given risk matters and what we might do to reduce it. - You have deeper knowledge (three or more years) in at least one security or security-adjacent domain (infrastructure security, application security, cloud security, corporate/IT security, cryptography, privacy, etc.) - You can develop software (Python, Rust, Golang, or a similar language). You have experience working in a modern software development environment (git, CI/CD, LLM coding tools, etc.) - You have experience using AI tools (LLMs, ML models, etc) to identify and address security issues (software vulnerabilities, detection and response, etc.) - You’re energized by fast iteration: shipping MVPs, testing hypotheses, and evolving products based on what creators and fans respond to. - You take pride in creating elegant solutions to messy, real-world problems and balancing pragmatic trade-offs between security risks and business needs. - You believe in Patreon’s mission: giving creators control over their work and building communities that feel good to be in. - Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field, or the equivalent Bonus if you have: - Experience working on large scale Internet platforms that allow users to upload content. - Past contributions to large scale, production code bases. - Experience responding to security incidents, investigating incident impact, and building out incident mitigations. We hire talented and passionate people from different backgrounds because workplace diversity and inclusion is critical to our ability to serve creators worldwide. If you’re excited about a role but your past experience doesn’t match with every bullet point outlined above, we strongly encourage you to apply anyway. If you’re a creator at heart, are energized by our mission, and share our company values, we’d love to hear from you. About Patreon Patreon powers creators to do what they love and get paid by the people who love what they do. Our team is passionate about making this mission and our core values come to life every day in our work. Through this work, our Patronauts: - Put Creators First | They’re the reason we’re here. When creators win, we win. - Build with Craft | We sign our name to every deliverable, just like the creators we serve. - Make it Happen | We don’t quit. We learn and deliver. - Win Together | We grow as individuals. We win as a team. Patreon is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. If you need a reasonable accommodation during the interview process, please let us know via email at accommodations@patreon. Patreon offers a competitive benefits package including and not limited to salary, equity plans, healthcare, flexible time off, company holidays and recharge days, commuter benefits, lifestyle stipends, learning and development stipends, patronage, parental leave, and 401k plan with matching. Patreon operates under a hybrid work model, where employees based in office locations are expected to come into the office three days per week, excluding sick time and paid leave. The goal of this policy is to be intentional about the in-person time we spend together to strengthen the feeling of community at Patreon. Candidates hired into remote-eligible roles are not expected to meet the same requirements. At Patreon, we believe in fair and transparent pay. In compliance with New York and California pay transparency laws, we are sharing the expected salary range for this role. The posted salary range is dependent on the location and the level. This range may encompass multiple levels within the role’s job family. The final offer will be based on candidate’s experience, skills, competencies, and geographic location, aligning with the appropriate job level within Patreon’s leveling framework. For remote employees located outside CA and NY, salary may vary based on location and local market conditions. Patreon reserves the right to modify or update compensation and benefits at any time.