Вакансии

Location: San Francisco, California Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion’s Data Foundations team builds and operates the batch and streaming infrastructure behind our product features, analytics, search, and AI experiences. We’re looking for a hands-on technical leader to shape the next generation of this platform as Notion serves larger customers, expands globally, and supports more data-intensive products. You’ll identify the highest-leverage problems, set direction, build and develop a high-performing team, and lead multi-quarter initiatives across our data lake, streaming, distributed-compute, governance, and reliability systems. You’ll stay close to critical technical decisions while creating clear ownership, growing engineers and technical leaders, and helping the team execute as one—partnering closely with Data Engineering, Data Product, Search, AI, Infrastructure, and Security. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Set the direction for Data Foundations. Turn ambiguous company and customer needs into a clear multi-quarter strategy across the data lake, streaming, distributed compute, governance, and platform reliability—and align engineers and partner teams around it. - Build and develop a high-performing team. Attract strong engineers, set clear expectations, grow technical leaders, and create an environment of ownership, direct feedback, and accountability. - Lead the team’s hardest initiatives from idea to operation. Ensure complex work has strong technical ownership, de-risk architectures through prototypes, break work into shippable milestones, and coordinate execution across engineers and teams. - Make Notion’s data platform enterprise-ready. Guide the team toward durable foundations for external key management, data residency, access controls, lifecycle management, and governance without creating separate systems for every requirement. - Raise reliability, simplicity, and cost efficiency. Identify systemic risks and architectural gaps, establish clear service ownership, and lead migrations that make Kafka, Debezium, S3/Iceberg, Spark, EMR, Athena, and related systems easier to operate at scale. - Multiply the engineering organization. Establish reusable abstractions and paved paths, delegate meaningful ownership, raise the quality of technical decisions, and scale expertise through coaching, documentation, tooling, design reviews, and direct collaboration. SKILLS YOU'LL NEED TO BRING: - Deep data-platform expertise. You have designed and operated large-scale batch and streaming systems and can reason across storage, compute, ingestion, orchestration, serving, governance, and production operations. - Direction-setting leadership. You have led a Data Platform or infrastructure team through multi-quarter work—finding the right problems, defining a strategy, sequencing execution, and driving decisions with long-term consequences. - Team-building and talent development. You have attracted strong engineers, grown people across career stages, developed technical leaders, and created clarity when expectations or performance needed to change. - Hands-on engineering judgment. You stay close to critical systems and designs and know when to prototype, simplify, buy, build, or migrate. You can go deep while preserving ownership for the engineers leading the work. - Platform-product thinking. You understand the needs behind partner requests and turn repeated patterns into safe, ergonomic, self-serve capabilities rather than accumulating bespoke solutions. - Organizational influence. You create clarity across team boundaries, surface uncomfortable technical or organizational risks early, and help engineers do their best work through strong context, delegation, feedback, and coaching. - You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. People who thrive here don’t treat AI as a novelty. They use it to think better, move faster, and build more creatively. THE SYSTEMS AND PROBLEMS YOU MAY LEAD - Evolving Notion’s data lake toward an S3 + Iceberg lakehouse with stronger governance, discoverability, schema evolution, and lifecycle controls - Scaling Kafka and Debezium-based streaming infrastructure that powers real-time product, analytics, and AI use cases - Improving Spark and distributed-compute performance, workload isolation, developer experience, and cost efficiency - Designing EKM, data residency, and compliant processing capabilities across Notion’s data estate - Creating clear platform interfaces and self-serve primitives for Data Engineering, Search, AI, and product teams WHY THIS ROLE MATTERS Notion’s data infrastructure is no longer only an internal analytics layer. It increasingly powers customer-facing features, AI systems, enterprise controls, and high-volume product workflows. The team needs a leader who can see across these systems, build the technical leadership and operating culture required for that responsibility, and find the problems that matter before they become roadmap blockers. Success means Data Foundations has a strong, growing team with clear direction and dependable execution—and teams across Notion can build ambitious data-powered products faster without compromising customer trust. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $281,000 - $334,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Задачи: — Владение и развитие пути подписания каждой транзакции в Phantom — Разработка и укрепление процессов аутентификации, разблокировки, биометрии и доступа к аккаунтам на веб и мобильных платформах — Внедрение passkeys (WebAuthn) и улучшений MFA с балансом безопасности и удобства — Управление процессами онбординга и жизненного цикла ключей: генерация/вывод ключей, работа с seed-фразами, регистрация без seed, сопряжение с аппаратными кошельками — Управление безопасным экспортом/импортом ключей и связанными мерами безопасности — Написание и поддержка надежных тестов (unit/integration/e2e) для критически важных процессов; обеспечение безопасного развертывания через мониторинг и поэтапные релизы Требования: — Опыт работы 7+ лет — Сильные навыки TypeScript; комфортная разработка кода для браузера, Node.js и мобильных JS сред — Опыт создания надежных тестовых наборов с низкой нестабильностью для критических систем — Знание концепций аутентификации и распространенных механизмов (сессии/токены, MFA/OTP, WebAuthn/passkeys) — Сильные инженерные основы: проектирование систем, отладка, надежность в продакшене — Приветствуется: опыт с OAuth2/OIDC, внутренностями WebAuthn, криптографией, системами управления ключами; опыт с Web3/кошельками или потоками подписания; опыт в безопасности или финансовой сфере (идентификация, платежи, кастоди); опыт или интерес к Rust

Location: Warsaw Workplace: OnSite Role Highlights: - Title: AIT Engineering Team Lead - Department: Global Manufacturing Organization - Reports to: Head of MAITE, Optics - Location: Warsaw, Poland - Type of Contract: Permanent - Working model: On-site - Employment is subject to applicable security screening (incl. SUPO, where required) Why this role matters: ICEYE is seeking a Team Lead, AIT Engineering to lead the AIT Engineering function responsible for the assembly, integration, and testing of satellite systems and optical payloads. This is a technical leadership and people management role in an early-stage production environment, where products, processes, and manufacturing capabilities are continuously evolving. You will lead and develop the AIT Engineering team while acting as the technical focal point for AIT activities during spacecraft builds and integration campaigns. The role sits at the interface between Engineering and Production. You will work closely with optical, mechanical, electrical, systems, quality, and production teams to translate design intent into robust, manufacturable, integrable, and testable processes, while ensuring that feedback and issues identified during production are effectively driven back into Engineering. You will also support the integration and validation of externally supplied optical payloads, working with internal engineering teams and external suppliers to ensure successful integration into the satellite platform. The role requires a strong background in spacecraft AIT, system integration, or complex hardware integration, combined with the ability to lead people, coordinate technical activities, develop robust processes, and drive execution in a fast-paced production environment. Who We Are ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. What you will do - Lead and develop the AIT Engineering team, providing technical direction, mentoring, and clear priorities. - Lead the assembly, integration, and testing of spacecraft systems, acting as the technical focal point during spacecraft builds. - Support the integration and validation of externally supplied optical payloads into the spacecraft platform. - Combine technical leadership with hands-on involvement in spacecraft integration, testing, troubleshooting, and verification. - Ensure AIT readiness before builds, including tools, GSE, procedures, documentation, hardware, and engineering support. - Drive structured problem-solving and root cause analysis of integration and test issues, ensuring lessons learned are fed back into Engineering and production. - Act as the bridge between Production and Engineering, translating design requirements into practical, manufacturable, and testable integration processes. - Work closely with Systems, Mechanical, Electrical, Optical, Quality, Manufacturing, and external suppliers to resolve integration challenges. - Define and continuously improve AIT processes, procedures, test methods, tooling, fixtures, and technical documentation. - Support production ramp-up by improving integration efficiency, repeatability, reliability, and scalability. - Mentor engineers and build strong technical capabilities within the AIT organization. What we’re looking for Must haves: - 5+ years of hands-on experience in spacecraft AIT, system integration, testing, or production of complex hardware systems. - Strong experience with spacecraft integration and system-level testing across multiple engineering disciplines. - Experience with optical systems, optomechanics, optical payloads, or Earth Observation systems. - Experience working with complex precision hardware in cleanroom or controlled environments. - Strong system-level understanding across mechanical, electrical, optical, and systems engineering. - Experience with DFM / DFT principles and translating design requirements into manufacturable and testable solutions. - Experience with AIT processes, test procedures, verification, and technical documentation. - Experience with GSE, tooling, fixtures, or test setups used for integration and testing. - Strong troubleshooting skills, including structured root cause analysis and corrective actions. - Experience working with MES, ERP, test data management, or similar production systems. - Experience with Lean manufacturing or continuous improvement methodologies. - Strong understanding of configuration-controlled production and engineering environments. - Strong communication and stakeholder management skills. - Strong written and spoken English. Nice-to-haves: - Experience with optical alignment and metrology, including focus, tilt, centering, boresight, interferometry, collimators, or MTF. - Experience supporting environmental testing, such as thermal vacuum, vibration, or EMC. - Experience working with external suppliers or partners, particularly payload suppliers. - Experience supporting products from prototype through production ramp-up. - Experience with PDR, CDR, PRR, or equivalent technical and production readiness reviews. - Experience with PFMEA, process capability, or other manufacturing engineering tools. - Experience in Lean manufacturing, industrialization, or production scale-up. Application Process - Talent Acquisition interview - Hiring manager interview - Technical interview, including a technical challenge - Hiring team + director-level interview - Offer Working at ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. How We Work (Our Values) - Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. Benefits Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Base salary range for this position is dependant on experience, and will be negotiated individually. Our Commitment to Diversity, Equity, and Inclusion We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Kyiv; Lviv Workplace: onsite Ajax Systems — міжнародна технологічна компанія і найбільший у Європі виробник охоронних систем. Продуктам Ajax довіряють уже понад 4,5 мільйони кінцевих користувачів і 330 тисяч PRO-користувачів у більш ніж 180 країнах. Компанія пропонує комплексні рішення для захисту житлових і комерційних об'єктів різного масштабу. Нині портфоліо Ajax налічує 280 пристроїв для захисту від вторгнення, відеоспостереження, пожежної безпеки та комфорту й автоматизації. Кожного року ми демонструємо кратне зростання як у чисельності команди, так і в кількості користувачів у всьому світі.  Ajax Systems має виробництво повного циклу: від генерації ідей та створення прототипів до масового виробництва та продажу по всьому світу. Кожен департамент закриває певну операційну потребу бізнесу в повній мірі. Фахівці компанії залучені на всіх етапах: від виробничої лінії в Україні до логістичного центру в Польщі, звідки продукцію відправляють дистрибʼюторам по всьому світу.   Шукаємо уважного та системного QA Engineer для роботи з екосистемою SAP. Досвід із SAP не обов’язковий , однак важливі сильна база у функціональному та регресійному тестуванні, розуміння бізнес-процесів і бажання розвиватися в SAP. Обов‘язки: Тестування складних End-to-End (E2E) бізнес-процесів: продажі, закупівлі, фінанси, складський облік тощо. Проведення функціонального, інтеграційного та регресійного тестування. Формування та підтримка регресійного набору тестів (Regression Test Suite) для ключових бізнес-процесів. Валідація міжсистемних інтеграцій (SAP, E-commerce, DWH) через API та бази даних. Створення та підтримка тестової документації: тест-плани, тест-кейси, чек-листи, тестові сценарії. Аналіз, локалізація та документування дефектів, контроль їх виправлення та повторне тестування. Участь у підготовці та виконанні тестування релізів і змін у системі. Підтримка та розвиток автоматизованих тестів, насамперед для повторюваних та регресійних сценаріїв. Використання інструментів автоматизації тестування, таких як Selenium, Playwright, Cypress, Tricentis Tosca або аналогічних. Аналіз результатів автоматизованих тестів та перевірка коректності їх виконання. Тісна співпраця з SAP-консультантами Production + DMC team, розробниками (ABAP), бізнес-аналітиками та іншими членами команди. Вимоги: Досвід: від 3 років у функціональному тестуванні складних веб-систем. Регресійне тестування: практичний досвід планування, підготовки та виконання regression testing. Досвід формування та підтримки регресійних тестових наборів. Автоматизація: базовий або практичний досвід роботи з automated testing та розуміння принципів автоматизації тестування. Досвід роботи хоча б з одним із популярних інструментів автоматизації: Selenium, Playwright, Cypress, Tricentis Tosca, UFT/OpenText UFT. Складні процеси: вміння працювати з E2E-сценаріями, де один процес проходить через 3–5 різних систем чи модулів. SQL: впевнені базові знання (SELECT, JOIN, GROUP BY, WHERE) для перевірки даних у БД. Інтеграції: досвід тестування API (Postman / Swagger, REST / SOAP, JSON / XML). Системне мислення: здатність бачити «велику картину» (Big Picture) і розуміти, як зміна в одному місці впливає на весь ланцюжок. Знання та володіння Jira, Confluence, Jenkins, GitLab, Google Docs. Англійська на рівні Upper-Intermediate. Вища технічна освіта (+ додаткова технічна освіта/курси QA Engineer, Data Engineer буде перевагою). Буде плюсом Попередній досвід роботи з будь-якими ERP-системами (SAP, Oracle, Microsoft Dynamics, Odoo, 1C тощо). Досвід тестування складного B2B-софту (ERP, CRM, Billing, WMS, Core Banking). Досвід роботи в ритейлі, логістиці, виробництві чи фінансовому секторі (розуміння бізнес-термінології). Досвід тестування SAP Fiori / SAPUI5. Досвід автоматизації SAP-тестування за допомогою Tricentis Tosca або аналогічних інструментів. Досвід інтеграції автоматизованих тестів у CI/CD pipelines. Базові знання Git та принципів роботи з version control. Досвід тестування продуктивності або використання інструментів для performance testing буде перевагою. Від себе ми пропонуємо: Роботу в одному з наших комфортабельних офісів. Офіс облаштований генератором та бомбосховищем; Офіційне працевлаштування зі стабільною оплатою та всіма гарантіями Дія Сіті резидента; Гнучкий графік без привʼязки до робочих годин; Компенсація навчання; Заняття англійською; Медичне страхування; Комплект системи безпеки Ajax (участь у проєкті бета-тесту — отримання та тестування нових гаджетів до їх релізу); Різносторонні проєкти та професійне зростання; Драйвову команду та zero bullshit culture. Долучайтеся, щоб зробити Made in Ukraine синонімом надійності!

Задачи: — Защищать серверы, сети, облачную инфраструктуру и веб-сервисы. — Выстраивать Zero Trust и безопасный доступ к внутренним системам. — Выявлять угрозы, расследовать инциденты и устранять уязвимости. — Работать над архитектурой безопасности вместе с DevOps и разработчиками. Требования: — От 3 лет в кибербезопасности и администрировании Zero Trust. — Практический опыт ZTNA — обязателен: Cloudflare Zero Trust, Teleport, Tailscale, CyberArk или аналоги. — Уверенный Linux, понимание сетей, TLS, VPN и сегментации. — Опыт с WAF, SIEM, IDS/IPS, управлением уязвимостями и расследованием инцидентов. — Знание OWASP Top 10, принципов управления доступом и безопасности Docker; Bash или Python для автоматизации. Условия: — Официальное трудоустройство. — Комфортный офис в Пафосе. — Сильная техническая команда. — Возможность влиять на архитектуру безопасности. — Рассматриваются кандидаты, которые уже на Кипре или готовы переехать для работы в офисе.

Задачи: — развивать и оптимизировать CI/CD на базе GitLab; — проектировать, поддерживать и масштабировать облачную инфраструктуру; — переводить инфраструктуру в Terraform + Terragrunt и развивать Infrastructure as Code; — создавать и поддерживать Helm-чарты; — выстраивать CD в Kubernetes по принципам GitOps с использованием ArgoCD; — автоматизировать рутинные процессы и улучшать взаимодействие разработки и инфраструктуры; — участвовать в развитии архитектуры и повышении стабильности инфраструктуры; — искать узкие места, предлагать и реализовывать собственные технические решения. Стек: GitLab CI/CD, Kubernetes, Docker, Terraform, Terragrunt, Ansible, Helm, ArgoCD, Yandex Cloud, Linux, Nginx. Ожидаем: — 5+ лет опыта в DevOps / SRE / администрировании облачной инфраструктуры; — уверенное владение Kubernetes, Docker и Terraform; — практический опыт работы с Yandex Cloud, Ansible, Terragrunt, Helm и ArgoCD; — глубокое понимание CI/CD и современных подходов к автоматизации деплоя; — опыт настройки и оптимизации Nginx; — понимание принципов Infrastructure as Code и GitOps; — способность самостоятельно разбираться в сложных инфраструктурных задачах и доводить решения до результата. Условия: — официальное оформление по ТК РФ с первого дня; — полностью белая зарплата, выплаты 2 раза в месяц; — оплачиваемые отпуск и больничные; — современный офис в 10 минутах от м. Балтийская; — бесплатные напитки и сладости; — оплачиваемые парковочные места; — массажное кресло и PlayStation в офисе; — отсутствие дресс-кода.

Keenable создает поисковую инфраструктуру для AI-агентов. Требования: — Опыт с distributed systems — Опыт с production infrastructure — Опыт с Rust Информация о компании: — Ко-фаундер — Андрей Стыскин, ex CEO Яндекс Поиск и ex Director of Web Information Services в Amazon — Размер команды — 11-50 — Инвестиции — $26M

Задачи: - Проектировать, выполнять и автоматизировать тест-кейсы (функциональные, производительность, безопасность) - Разрабатывать автоматизированные скрипты, фреймворки и инструменты для оптимизации тестирования - Вносить вклад в QA-стратегии на протяжении всего жизненного цикла разработки ПО (SDLC) - Полностью отвечать за приемку нового кода в продакшен - Тесно сотрудничать с командами разработки и продукта Требования: - Опыт работы QA инженером не менее 3 лет - Высшее образование в области компьютерных наук, программной инженерии или смежной области - Хорошее понимание SDLC, жизненного цикла дефектов и Agile - Опыт работы с инструментами управления тестированием и регрессионным тестированием Условия: - Конкурентная зарплата и бонусы за результаты - 7.5-часовой рабочий день с гибким графиком и возможностью гибридной или удаленной работы - До 25 дней ежегодного отпуска и 5 оплачиваемых больничных дней - Современный офис с бесплатными фруктами, кофе и напитками - Пакет поддержки для родителей и фонд накоплений

Требования: — 5+ лет опыта — опыт с высоконагруженными системами — опыт с Rust — опыт с Tokio — опыт с Linux Позиция в топовую проприетарную трейдинговую компанию Формат работы: удалённо.

Location: Москва Мы - команда GigaChat Pretrain Data, готовим pretrain данные для GigaChat и GigaChat Vision. Pretrain данные - это фундамент, с которого начинается путь современной LLM модели и то, от чего наиболее зависит ее итоговое качество. Сырых данных более 40Пб и основная задача заключается в том, чтобы из этого хаоса сделать датасет, на котором будет обучена лучшая LLM в России. Обязанности * генерировать синтетические данные: математика, код, произвольная синтетика с сидами - документами из Web * исследовать токенизацию и ее влияние на качество модели (возможно написание статей) * решать задачи кластеризации миллиардов документов * исследовать разные факторы, которыми обладают текстовые данные * генерировать Vision данные для прокачки VLM * разрабатывать новые алгоритмы парсинга HTML и исследовать его влияние на качество модели * исследовать зависимости между pretrain данными и agentic capabilities итоговой модели * разрабатывать стабильную инфраструктуру, которая будет поддерживать проведение сотен и тысяч экспериментов над данными. Требования * имеешь коммерческий релевантный опыт связанный с NLP или построением инфраструктуры для данных от двух лет. Будет плюсом: * навыки работы с генеративными AI-моделями; опыт создания AI-агентов и использования их в работе будет преимуществом * опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов * инструментальное владение AI для анализа, генерации и автоматизации * опыт с MapReduce системами. Условия * комфортный современный офис рядом с м. Кутузовская * гибридный формат работы (2 дня в офисе, 3 дня на удалёнке) * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * система обучения для профессионального и карьерного развития * расширенный полис ДМС с первого дня работы и страхование для семьи * льготная программа ипотеки для сотрудников * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.

Задачи: — Разрабатывать и поддерживать исполнительные модули (agents, controllers, orchestrators) для автоматической настройки и контроля операторского сетевого оборудования — Производить интеграцию с существующей инфраструктурой: SNMP, CLI, NETCONF/RESTCONF/gNMI, обмениваться через Kafka/RabbitMQ и быть в связке с инвентаризацией, мониторингом, системой фиксации аварий — Создавать и сопровождать модели данных и описаний: JSON Schema, Protobuf и MIB-таблицы для телеметрии и команд устройствам — Производить автоматизацию полного цикла «конфигурация → развёртывание → мониторинг → отклик» с использованием Python/Go-библиотек для формирования и применения конфигураций и реакции на сетевые события — Проектировать и сопровождать хранилища состояния сети (PostgreSQL): топологии, параметры сервисов, история изменений и сценарии отката — Тестировать и валидировать: модульные и интеграционные тесты, запускать автоматизированные проверки в тестовой лаборатории с эмуляторами и реальным оборудованием Требования: — Практический опыт разработки на Python или Go (от 5 лет) с работой по SNMP, CLI, NETCONF/RESTCONF/gNMI, включая создание поддерживаемых библиотек и API-интеграций — Навыки работы с PostgreSQL (проекты схем, сложные запросы), опыт с оборудованием разных вендоров и чтение технической документации на английском — Опыт эксплуатации операторских сетей (от 5 лет): настройка, мониторинг, локализация и аварийное восстановление — Знания сетевых технологий: IP/MPLS, Ethernet (802.1Q, QinQ), QoS, механизмы резервирования (FRR, LAG, VRRP, BFD) — Будет плюсом: CI/CD, YANG, gRPC/Protobuf, Kafka, Docker/Kubernetes, Prometheus/Grafana, опыт работы в продуктах автоматизации сети, опыт работы с пайплайнами CI/CD

Задачи: — левел-дизайн, анимация, камера, VFX, видеомонтаж — весь пайплайн в Unreal Engine. Требования: — Unreal Engine (Blueprints, Niagara, Sequencer) — After Effects (2D Motion, UI, sound design) — Анимация, шейдеры, 3D ПО Условия: — Удалёнка, part-time → возможен штат — 600–800$ за креатив — Контракт с зарубежной компанией

Location: Guildford Workplace: onsite With multiple awards to our name, Larian Studios has proven that we’re dedicated to delivering high-quality role-playing games As we move on to new projects, the studio that brought you Baldur’s Gate 3 & Divinity: Original Sin 2 is looking for a DevOps Build Engineer to join the team and help us in crafting the high calibre games our fans have come to expect. Responsibilities Design, develop, and maintain robust build pipelines for each platform Monitor and continuously improve our automated build and CI systems Partner with IT to scale and maintain build server infrastructure Create and keep documentation of the build/release process up to date Support the release manager during patch releases Be a go-to resource for teammates when they need a hand Requirements 2+ years of industry experience Solid hands-on knowledge of Jenkins and CI/CD pipelines Proficiency in a scripting language such as Ruby, Groovy, or Python Experience automating workflows via shell/bash/cmd on Linux and/or Windows Familiarity with version control systems like Git, Perforce, or SVN Clear communication skills, written and spoken, in English Comfortable collaborating with others and taking ownership of your work Enthusiasm for experimenting, iterating, and refining features Strong software design and problem-solving abilities Nice To Haves Experience with Ansible or similar configuration management tools Familiarity automating C#/C++ builds (e.g., MSBuild, CMake) Exposure to full-stack development Background working in the games industry What We Offer An international team of over 600 employees spread across 7 studios around the world, each of which have their own unique qualities, and maintain a small-studio feel An open, collaborative environment where ideas are welcome and encouraged A managerial team consisting of highly experienced game developers at the top of their fields Sharing hobbies and passions with like-minded colleagues Inclusive environment with many activities organized by the studios or the employees Commitment to making the best game possible for the fans, including listening to community feedback

Требования: — 3-5 лет опыта работы в области ASIC Verification Engineering.

Location: United Kingdom (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. The Opportunity: Grafana Labs is seeking to grow our Business Value Engineer team and support defining, articulating, and quantifying business value across our products and services. As a member of the business value engineering team, you'll play a critical role in shaping the direction of this high-impact function. What You’ll Be Doing: Customer Insights : Collaborate with customers to uncover new opportunities for growth and profitability through personalized storytelling. Value Quantification : Develop compelling ROI/TCO models that identify value areas driven by new products, emerging trends, and market challenges. GTM Enablement : Enable pre/post sales teams through training, content development and support; ensuring our sales organization is equipped to showcase Grafana's value with customers. Value Storytelling : Partner with cross-functional teams to create a unified narrative that showcases Grafana's value proposition, aligning internal stakeholders and external messaging. Strategic Partnerships : Collaborate closely with Account Executives, Solutions Engineers, Observability Architects to define and articulate the business value of our products and services. What Makes you a Great Fit: Innovative Mindset : Possess a growth mindset, willing to learn new technologies and adapt quickly Value Engineering Expertise : 3-5+ years of experience in value management, consulting, or engineering; deep understanding of building quantitative and qualitative analyses. Data Storytelling Skills : Ability to analyze complex data sets, create compelling customer-facing stories, and communicate findings effectively from technical to executive level audiences. Cross-Functional Collaboration : Experience partnering with GTM leaders (Sales, Customer Success, Marketing & Finance) to define and align on Grafana's value propositions. Bonus Points For: 3+ years of Observability experience, preferably with Open Source tools like Grafana, Prometheus, or Loki Familiarity with the Open Source landscape and community If you're ready for a high-impact role that combines data analysis, storytelling, technology enablement, and partnership-building with cross-functional teams – we'd love to hear from you! Compensation & Rewards: In the UK, the OTE compensation range for this role is  £130,000 - £155,000.  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 .