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Location: London, England, United Kingdom About Wheely Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East. We blend cutting-edge technology with the craft of five-star chauffeuring to deliver an experience trusted by more than 100,000 active riders and 1,200 corporate accounts. We’re a profitable, fast-growing scale-up with $43M raised and over $100M in annual revenue. Having recently launched in New York City, we’re expanding rapidly across the US and EMEA. If you take pride in your craft and want to help shape the next chapter of our growth, we'd love to hear from you. About The Role We’re looking for a Backend Engineer to join one of our teams that keeps frameworks lean and focuses on what matters: clean, maintainable code, shipped fast with TDD, DDD, and continuous integration and delivery. We are a Go shop, and while we’re busy migrating away from our Ruby monolith, our stack includes PostgreSQL, MongoDB, RabbitMQ, Redis, gRPC, and Thrift. Everything runs on AWS and Kubernetes, managed via Terraform. Our interview process includes a recruiter screen, algorithms and live coding. Senior+ candidates also complete a system design section. Responsibilities Write high-quality, performant code primarily in Go. Implement new microservices while helping us responsibly manage and migrate away from legacy services. Work closely with product managers, designers, and data scientists to turn abstract requirements into concrete technical designs. Ensure our systems stay responsive under heavy load, optimising for both latency and reliability. Requirements 3+ years of experience building and maintaining scalable backend services. We use Go. If you know it, great. If not, we’ll interview you in your strongest language (Python, C++, Ruby). In-depth knowledge of relational and NoSQL databases (PostgreSQL, MongoDB, Redis) and experience with message brokers like RabbitMQ or Kafka. Upper-Intermediate (B2) English proficiency or higher. You should be comfortable debating technical trade-offs with your peers. What We Offer What We Offer Office-based role in West London, four days a week with flexible start and finish times, plus one remote day of your choice Salary starting from £90,000 Employee stock options plan Private medical and dental insurance Life and critical illness cover Latest-generation MacBook Pro and 4k display Monthly credit towards Wheely journeys Cycle to Work scheme Professional development stipend Relocation support, including visa sponsorship and allowance All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice

Location: London, England, United Kingdom About Wheely Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East. We blend cutting-edge technology with the craft of five-star chauffeuring to deliver an experience trusted by more than 100,000 active riders and 1,200 corporate accounts. We’re a profitable, fast-growing scale-up with $43M raised and over $100M in annual revenue. Having recently launched in New York City, we’re expanding rapidly across the US and EMEA. If you take pride in your craft and want to help shape the next chapter of our growth, we'd love to hear from you. About The Role Our Marketplace team builds the models and algorithms that balance supply and demand, optimising pricing and matching to ensure chauffeurs earn and passengers aren't left waiting. We’re looking for a Mid/Senior Backend Engineer to join a team that keeps frameworks lean and focuses on what matters: clean, maintainable code, shipped fast with TDD, DDD, and continuous integration and delivery. We are a Go shop, and while we’re busy migrating away from our Ruby monolith, our stack includes PostgreSQL, MongoDB, RabbitMQ, Redis, gRPC, and Thrift. Everything runs on AWS and Kubernetes, managed via Terraform. Our interview process includes a recruiter screen, algorithms and live coding. Senior+ candidates also complete a system design section. Responsibilities Write high-quality, performant code primarily in Go. Implement new microservices while helping us responsibly manage and migrate away from legacy services. Work closely with product managers, designers, and data scientists to turn abstract requirements into concrete technical designs. Ensure our systems stay responsive under heavy load, optimising for both latency and reliability. Requirements 3+ years of experience (5+ years for seniors) building and maintaining scalable backend services. We use Go. If you know it, great. If not, we’ll interview you in your strongest language (Python, C++, Ruby). In-depth knowledge of relational and NoSQL databases (PostgreSQL, MongoDB, Redis) and experience with message brokers like RabbitMQ or Kafka. Upper-Intermediate (B2) English proficiency or higher. You should be comfortable debating technical trade-offs with your peers. What We Offer Office-based role in West London, four days a week with flexible start and finish times, plus one remote day of your choice Salary starting from £90,000 Employee stock options plan Private medical and dental insurance Life and critical illness cover Latest-generation MacBook Pro and 4k display Monthly credit towards Wheely journeys Cycle to Work scheme Professional development stipend Relocation support, including visa sponsorship and allowance All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice

Задачи: — Разрабатывать серверную часть приложений на Java, участвовать в проектировании, тестировании, развёртывании и сопровождении функционала. — Писать чистый, поддерживаемый и масштабируемый код, обеспечивать его надёжность, безопасность и производительность. — Прорабатывать технические и архитектурные решения, развивать модульную структуру приложений, управлять зависимостями, техническим долгом и миграциями. — Реализовывать банковские и платёжные интеграции, взаимодействовать с Front-end разработчиками для интеграции серверной логики с пользовательским интерфейсом. — Диагностировать и устранять ошибки, участвовать в мониторинге, сопровождении релизов и разборе инцидентов. — Взаимодействовать с аналитиками, разработчиками, дизайнерами и системными администраторами при реализации нового функционала. — Формировать требования к качеству кода, развивать инженерные практики и процессы, проводить код-ревью, декомпозировать задачи и поддерживать профессиональное развитие команды. Требования: — Опыт коммерческой Back-end разработки на Java. — Глубокое знание Java 17+, практический опыт работы со Spring Boot, Spring Security, Hibernate/JPA, PostgreSQL и Maven. — Понимание транзакций, многопоточности и подходов к оптимизации производительности. — Понимание полного жизненного цикла разработки ПО, архитектуры кода и проекта, принципов модульности, управления зависимостями, техническим долгом и миграциями. — Понимание платёжной предметной области: платежи, счета, проводки, балансы, комиссии и возвраты. — Знание принципов идемпотентности, сверки и восстановления операций. — Опыт работы с REST API, OpenAPI и webhooks, понимание обработки сбоев, управления правами доступа, аудита, защиты данных и тестирования критичных сценариев. — Опыт работы с Docker, Kubernetes, Helm и CI/CD, навыки диагностики, мониторинга и сопровождения приложений. — Умение осмысленно применять AI-ассистентов: проверять результат, оценивать корректность и безопасность предложенных решений, не подменять инженерный анализ автоматически сгенерированным кодом.

Location: London, England, United Kingdom About Wheely Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East. We blend cutting-edge technology with the craft of five-star chauffeuring to deliver an experience trusted by more than 100,000 active riders and 1,200 corporate accounts. We’re a profitable, fast-growing scale-up with $43M raised and over $100M in annual revenue. Having recently launched in New York City, we’re expanding rapidly across the US and EMEA. If you take pride in your craft and want to help shape the next chapter of our growth, we'd love to hear from you. About the Role Our Mapping team tackles the spatial intelligence of the platform: road matching, low-latency ETA predictions, and processing thousands of coordinates every second to ensure every journey is accurately tracked. We’re looking for a Mid/Senior Backend Engineer to join a team that keeps frameworks lean and focuses on what matters: clean, maintainable code, shipped fast with TDD, DDD, and continuous integration and delivery. We are a Go shop, and while we’re busy migrating away from our Ruby monolith, our stack includes PostgreSQL, MongoDB, RabbitMQ, Redis, gRPC, and Thrift. Everything runs on AWS and Kubernetes, managed via Terraform. Our interview process includes a recruiter screen, algorithms and live coding. Senior+ candidates also complete a system design section. Responsibilities Write high-quality, performant code primarily in Go. Implement new microservices while helping us responsibly manage and migrate away from legacy services. Work closely with product managers, designers, and data scientists to turn abstract requirements into concrete technical designs. Ensure our systems stay responsive under heavy load, optimising for both latency and reliability. Requirements 3+ years of experience (5+ years for seniors) building and maintaining scalable backend services. We use Go. If you know it, great. If not, we’ll interview you in your strongest language (Python, C++, Ruby). In-depth knowledge of relational and NoSQL databases (PostgreSQL, MongoDB, Redis) and experience with message brokers like RabbitMQ or Kafka. At least 1 year of hands-on experience with mapping-related work such as processing noisy geospatial data, map-matching techniques, or road network graphs and routing algorithms. Upper-Intermediate (B2) English proficiency or higher. You should be comfortable debating technical trade-offs with your peers. Nice To Have Driver-side intuition for navigation systems (rerouting behavior, GPS drift, missed turns, real-world edge cases). Experience with routing engines like OSRM. Proficiency in C++. Familiarity with open geospatial datasets such as OpenStreetMap. What We Offer Office-based role in West London, four days a week with flexible start and finish times, plus one remote day of your choice Salary starting from £90,000 Employee stock options plan Private medical and dental insurance Life and critical illness cover Latest-generation MacBook Pro and 4k display Monthly credit towards Wheely journeys Cycle to Work scheme Professional development stipend Relocation support, including visa sponsorship and allowance All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice

Задачи: — Разработка корпоративных цифровых платформ — Разработка IT-инфраструктуры Требования: — Backend: Node.js, NestJS, Typescript — Frontend: Next.js, React — Инфраструктура: Kubernetes, Docker — Хранение данных: PostgreSQL, Redis, MinIO — Очереди и фоновые задачи: BullMQ — Real-time коммуникация: WebSocket — Опыт в multi-tenant SaaS: изоляция данных клиентов, конфигурация под клиента, white-label — Предметная область: закупки, тендеры, ЭДО, финтех, биржевые или банковские системы — ЭЦП и криптография в контексте РК: NCALayer, сертификаты НУЦ РК — Интеграции с 1С — Опыт работы с высоконагруженными системами — Самостоятельность: умение двигаться при неполных требованиях, а не ждать полной постановки — Готовность задавать вопросы аналитику и продакту и оспаривать требование, если оно противоречит логике продукта — Ответственность за результат в проде, а не за закрытую задачу в Jira — Умение работать в условиях параллельных приоритетов Условия: — Оформление по ТК РК — График: пятидневка, 9:00–18:00, гибкое начало дня — Формат: гибрид — 2 дня в офисе — Офис расположен на территории МФЦА — Итоговая заработная плата обсуждается по результатам технического интервью

Задачи: — Проектировать, разрабатывать, поддерживать и развивать инфраструктуру и инструменты для разработки, автоматизации процессов тестирования, интеграции и развертывания ПО; — Взаимодействовать с системными инженерами, разработчиками ПО и инженерами по тестированию, развивая и улучшая существующие решения, выявляя их ограничения и слабые места; — Обеспечение бесперебойной работы продуктовой среды; — Внедрение подходов Infrastructure-as-a-Code Требования: — Опыт работы от 3 лет в качестве DevOps; — Знание Terraform, Ansible, Kubernetes, Helm; — Опыт работы с AWS, GKE, AKS, DOKS или подобными платформами; — Навыки мониторинга и логирования; — Опыт администрирования и разворачивания различных CI/CD пайплайнов; — Знание методологии DevOps. Будет преимуществом: — Опыт с DevSecOps; — Знание Zabbix; — Знание Prometheus. Условия: — Работа удалённо с часовым поясом МСК; — Работа над востребованными продуктами; — Возможность внедрять новые технологии; — Отсутствие бюрократии, быстрые решения и обсуждение новых идей; — Поддержка в повышении квалификации и компенсация курсов; — Возможность обсуждения повышения дохода при расширении зоны ответственности; — Работа в сильной команде для развития навыков.

Задачи: — Работа над крупными финтех, телеком и ритейл проектами. Требования: — Опыт от 3 лет на позиции Senior DevOps-инженера. — Действующий DevOps-инженер, «играющий тренер». — Знание основных метрик эффективности процесса DevOps и навыки управления ими. — Самостоятельность в разборе функциональности, диагностике и решении проблем, принятии решений. — Умение четко аргументировать позицию и готовность нести ответственность за результат. — Готовность часто переключаться между проектами и быстро разбираться с их устройством. — Глубокие навыки администрирования операционных систем Linux и Windows. — Умение работать с системами виртуализации и облачными технологиями VMware, KVM, Linux-контейнерами (OpenVZ, Docker) для автоматического развертывания ОС, приложений и баз данных. — Администрирование баз данных. — Опыт работы с системами автоматического управления, масштабирования и развертывания контейнеров (Kubernetes, Apache Mesos). — Экспертные знания в области сетевого взаимодействия, аппаратных сред и систем хранения данных для проектирования инфраструктуры высоконагруженных приложений и систем уровня mission critical. — Знание принципов и технологий отказоустойчивости. — Уверенные знания скриптовых языков для автоматизации процессов и обращения к RESTful API, обычно Bash или Python. — Знание инструментов управления автоматическим развертыванием приложений и конфигураций (Puppet, Chef, Ansible, SaltStack) и систем CI (TeamCity, Jenkins). — Навыки работы с системами мониторинга (Nagios, Zabbix, Graphite/Grafana, Prometheus) и логирования (ELK, EFK).

Задачи: • Развивать и сопровождать CI/CD-пайплайны проверки безопасности ПО (security gate) • Встраивать новые инструменты анализа, автоматизировать проверки • Администрировать и обновлять инструменты проверки • Работать вместе с разработчиками и инженерами по анализу кода Требования: • Опыт в роли DevOps/SRE от 2 лет • Опыт написания и поддержки пайплайнов в GitLab CI • Уверенное администрирование Linux • Docker и Kubernetes на уровне эксплуатации • Bash или Python для автоматизации Будет плюсом: • Опыт с инструментами безопасной разработки • Интерес к ИБ и желание расти в DevSecOps Условия: • Оформление по ТК РФ, ДМС • Премии сверх оклада • Рост в сторону DevSecOps

StarTribe — часть крупного международного холдинга (название под NDA), который более 10 лет создает и развивает масштабные и нагруженные IT-продукты для крупных компаний, включая всемирно известных брендов. В холдинге работает около 10 000 человек в разных странах, главный офис расположен на Кипре. Основное направление — iGaming: технологичные решения для онлайн-развлечений, спорта и игр. Компания работает в B2B-сегменте и входит в топ-10 мировых лидеров отрасли. Задачи: — Проектировать архитектуру и развивать backend-сервисы для управления инфраструктурой хранения и процессинга данных; — Отвечать за техническое качество направления: код-ревью, стандарты разработки, тестирование, документацию; — Формировать и развивать команду Python-разработчиков: участвовать в найме, менторить, распределять и декомпозировать задачи; — Интегрировать внутренние и внешние системы в рамках платформы, проектировать API (REST/gRPC); — Создавать собственные инструменты управления потоками данных и автоматизации инфраструктурных процессов; — Совместно с DevOps выстраивать CI/CD, деплой и наблюдаемость сервисов (метрики, логи, алертинг); — Участвовать в техническом планировании отдела, оценивать сроки и риски, общаться со смежными командами. Требования: — 5+ лет коммерческой разработки на Python, из них 1-2 года в роли тимлида, техлида или ведущего разработчика; — Опыт проектирования и разработки высоконагруженных распределенных сервисов; — Глубокое знание SQL и опыт работы с СУБД (PostgreSQL, MySQL и др.), понимание их внутреннего устройства и оптимизации; — Уверенная работа в UNIX-системах и командной строке; — Практический опыт с Docker и Kubernetes: сборка образов, написание манифестов/Helm-чартов, деплой сервисов; — Опыт построения тестирования (модульные, интеграционные тесты) и культуры код-ревью; — Понимание принципов наблюдаемости: метрики, логи, трассировка (Prometheus, Grafana или аналоги). Будет плюсом: — Опыт с CI/CD (GitLab CI/CD); — Опыт с Terraform и Ansible, подход Infrastructure as Code; — Работа с очередями и стримингом данных (Kafka, RabbitMQ и др.); — Управление секретами (Vault, Sealed Secrets, External Secrets); — Опыт разработки на Java или Go. Условия: — Официальное оформление по ТК Кипра; — Офисный формат работы 5/2 с гибким началом рабочего дня с 8:00 до 10:00; — Заработная плата по результатам интервью; — Отпуск 21 рабочий день; — 4 дополнительных day off в году; — Внешнее и внутреннее профессиональное обучение; — Частичная компенсация занятий английским и греческим языками (SkyEng); — Корпоративные завтраки и обеды в офисе; — Корпоративные занятия спортом; — Реферальная программа; — Корпоративные мероприятия для сотрудников и членов семьи; — Скидки на товары и услуги партнеров компании; — Материальная поддержка в важных жизненных ситуациях; — Подарки сотрудникам и их детям; — Годовой бонус по результатам работы; — Корпоративный тариф на услуги мобильной связи.

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE Evaluation is how we decide which models, checkpoints and recipes ship. As a Research Engineer on the Eval Platform team, you will build the infrastructure every science team relies on to measure model quality, and make it reliable, reproducible and fast. You don't need to have designed benchmarks before. You do need to care about what a score means, and about when a difference between two runs is real. WHAT YOU WILL DO - Build systems that keep eval results reproducible and comparable over time, as models, benchmarks and code evolve. - Run evaluations at scale across our GPU clusters, from model serving to scoring. - Make eval results easy to access, explore and trust, through APIs and dashboards that researchers use every day. - Catch broken or noisy evals before they mislead research decisions. - Support evaluation of agentic, multi-turn and tool-using models. - Work closely with researchers to turn new evaluation needs into robust, shared tooling. WHAT WE'RE LOOKING FOR - Master's or PhD in Computer Science, or equivalent experience. - 4+ years building production-grade software, ideally large-scale ML codebases or distributed systems. - Excellent Python and strong software-design instincts: testing, code review, CI/CD. - Experience running workloads on GPU clusters (Slurm, Kubernetes, Ray or similar). - Familiarity with LLM inference and evaluation. - A product mindset: researchers are your users. - Self-starter, low-ego, collaborative. NICE TO HAVE - Experience building or maintaining evaluation harnesses or benchmarks. - Hands-on experience with inference engines such as vLLM or SGLang. - Experience with agentic or RL environments. - Statistics for experimentation: variance estimation, significance testing. - Open-source contributions to ML tooling. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Москва Наша команда занимается прикладным администрированием и сопровождением критически важной для страны системы — Процессинга банковских карт, обеспечивая максимальную надежность и работоспособность в production-среде. Мы отвечаем за полный цикл эксплуатации бизнес-приложений — от установки релизов, проведения плановых изменений и настройки современного IT-стека (Kubernetes, Kafka, Apache Ignite) до оперативного устранения инцидентов и плотного взаимодействия со смежными командами разработки и инфраструктуры. Мы ищем тех, кто хочет развивать масштабную распределенную систему с высокой нагрузкой, применяя лучшие практики SRE и внедряя AI-инструменты в рабочий процесс. * возможность познакомиться с работой одной из наиболее критичных высоконагруженных распределенных систем в Банке, перспективный прикладной проект * огромные объемы данных и экстремальные нагрузки на систему, что дает быстрое развитие и бесценный опыт * приобретение профессиональных навыков по работе с высоконагруженными системами, обеспечения высокой надежности и доступности систем, работа с актуальным стеком технологий. Обязанности ·      проведение плановых работ в контуре системы - обновление компонентов, устранение уязвимостей ·      подготовка инфраструктуры и внедрение новых приложений ·      анализ прикладных мониторингов, трендов утилизации компонент системы и оборудования ·      приоритетное реагирование на сбои в работе системы, устранение влияния и контроль восстановления ·      проработка мероприятий по повышению надежности совместно с экспертами разработки ·      профилирование приложений и сбор диагностической информации для качественной оценки работы системы ·      тюнинг производительности приложений, работа с командой нагрузочного тестирования ·      привлечение участников смежных и инфраструктурных команд, планирование совместных работ ·      написание и поддержка в актуальном состоянии инструкций по компонентам в зоне ответственности ·      автоматизация рутины, снижение нагрузки и рисков ручной работы ·      построение качественного мониторинга компонент в своей зоне ответственности. Требования ·      опыт работы по профилю от 2-х лет, высокий уровень ответственности ·      уверенная работа в консоли ОС Linux **Приветствуются знания:** ·      общее понимание специфики работы java-приложений ·      навыки настройки JVM, снятия дампов, анализа логов будут преимуществом ·      администрирование контейнеров Kubernetes, Openshift ·      сертификаты, ЭЦП, создание защищенных соединений ·      понимание принципов ITIL/ITSM ·      знание принципов SRE и применение практик обеспечения надежности в работе ·      распределенная БД Apache Ignitе ·      реляционные БД Oracle/Postgres ·      кластер Kafka/Zookeeper ·      системы мониторинга: Grafana, VictoriaMetrics, Prometheus ·      инструменты DevOps: Ansible, Jenkins, Git ·      автоматизация на Bash/Python/Go ·      рабочие пространства Jira, Confluence ·      инструментальное владение AI для анализа, генерации и автоматизации повседневных задач. Условия ·      офисный формат работы по адресу Кутузовский проспект 32к1 ·      ежегодный пересмотр зарплаты и годовая премия ·      расширенный ДМС и льготное страхование для семьи ·      уникальная система обучения Сбера для профессионального и карьерного развития ·      выгодная ипотека для сотрудников ·      подписка Прайм с возможностью совместного использования на трёх близких ·      вознаграждение за рекомендацию друзей в команду Сбера ·      корпоративная пенсионная программа.

Задачи: - Подготовка тестовой документации (сценарии, отчеты по тестированию) - Проведение функционального тестирования - Разработка автотестов - Поддержка и развитие тестового фреймворка на Java - Проведение code review автотестов - Участие в анализе задач - Участие в анализе выявленных ошибок и дефектов промсреды Требования: - Опыт тестирования mobile/web приложений от 3 лет - Опыт работы с Rest API - Опыт работы с sql/nosql БД на уровне сложных запросов и выгрузок (join, View etc.) - Опыт покрытия новых функциональностей при помощи инструментов автоестирования (Java как основной, плюсом будет если есть база по Ruby) - Опыт работы с интеграционным тестированием - Опыт работы с CI/CD (Jenkins, GitlabCI) - Опыт работы с брокерами сообщений (Kafka, RabbitMQ, аналоги) - Опыт работы с Мок-сервисами (Wiremock или аналоги) - Опыт работы с инструментами: SOAP UI, Postman, Jira, Confluence, Git, Visual Studio, VS Code, Bitbucket, Bash - Опыт работы с системами на микросервисной архитектуре (Spring Cloud, Kubernetes, Openshift или аналоги) - Опыт работы с системами Cache (Redis, Hazelcast) - Инженерный склад ума без ограничений по языкам

В связи с расширением штата компании требуется .NET разработчик уровня Senior. Работа над крупными проектами в сферах финтех, телеком и ритейл. Требования: • Опыт разработки не менее 6 лет • Работа с микросервисной архитектурой • Работа с брокерами сообщений (Kafka) • Умение читать, анализировать и дорабатывать чужой код • Опыт написания автотестов • Опыт работы с базой данных PostgreSQL Будет преимуществом: • Опыт работы с RabbitMQ • Опыт работы с ASP.NET Core/Web API • Опыт с Entity Framework Core • Опыт работы с Docker и Kubernetes • Опыт работы с gRPC и REST API • Опыт работы в финансовом секторе • Опыт работы с высоконагруженными системами

Location: London Who are we? Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others. We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we’re just getting started. Role Overview Join Tripledot Studios' central AI team to help build a game event data hub, bringing together data from multiple studios. This is a new senior role, with an initial focus on data ingestion, preparation and quality: making sure the team knows the health of its data assets and can alert the right people when something fails. You'll work primarily within the central AI team, coordinating with studio data engineers through their points of contact so that the solutions you build align with their teams' patterns. Over time, you'll rotate into other areas of the team's work, including productionizing and maintaining machine learning pipelines. Key Responsibilities Help build the game event data hub and ingest data from multiple studios. Develop and orchestrate data ingestion, preparation, quality checks and backfills. Centralize dataset metadata and data quality information using tools such as OpenMetadata, giving the team visibility into the health of its data assets. Improve monitoring and notifications so teams know when pipelines or data assets need attention. Coordinate changes with studio data engineers to keep shared solutions aligned with their needs and patterns. Contribute to productionizing machine learning pipelines, monitoring them and making fixes as you rotate across the team's responsibilities. Required Skills, Knowledge and Expertise Experience building and operating data pipelines, including ingestion, preparation, data quality checks, backfills and orchestration. Working knowledge of Kubernetes, Airflow, SQL and Spark. A practical approach to delivering work, with reliability and consistency in how you maintain systems and work with others. The ability to collaborate constructively with engineers within your team and across studios. Nice to have Experience in the games industry. It's a plus, not a requirement; we can help you learn the domain if you bring the right technical knowledge. Experience with change data capture or streaming. Exposure to machine learning workflows. Knowledge of Kubeflow. Benefits 25 days paid holiday in addition to bank holidays to relax and refresh throughout the year Hybrid Working: We work in the office 3 days a week, Tuesdays and Wednesdays, and a third day of your choice. 20 days remote working: Work from anywhere in the world, or use the time to cover mandatory office days to WFH, 20 days of the year. Daily Free Lunch: when in the office you get £12 every day to order from JustEat. Regular company events and rewards: quarterly on-site and off-site events that celebrate cultural events, our achievements and our team spirit. Employee Assistance Program: Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand. Family Forming Support: Receive vital support on your family forming/ fertility journey with our support program [subject to policy] Life Assurance & Group Income Cover: Financial protection for you and your loved ones. Continuous Professional Development: Propel your career with continuous opportunities for professional development. Private Medical Cover & Health Cash Plan: Opt-in (P11d benefit) comprehensive private medical cover with Bupa and cash plan with Medicash. Dental Cover: Opt-in (P11d benefit). Cycle to Work Scheme: Salary sacrifice bike purchase scheme. Pension Plan: Qualifying earnings or opt-in 4% contributory match schemes offered.

Location: Atlanta, Georgia, United States; Boston, Massachusetts, United States; New York, New York, United States; Seattle, Washington, United States Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. Join us as we build the future of autonomous infrastructure. About this role: You'll be the founding customer-facing engineer for our flagship Kimchi product within our Customer Success organization. Kimchi executes multi-model LLM workflows and autonomous agents with embedded governance and cost control. It intelligently routes across frontier and open-source models while enabling teams to establish strict budget caps, enforce model access policies, configure roles, and audit TCO via deep analytical tracking. Through Kimchi Studio, developers gain desktop access to agentic workflows, helping organizations accelerate adoption without sacrificing operational governance or spend visibility. This is a hands-on, individual contributor role where you will live at the intersection of inference optimization, autonomous coding agents, multi-model routing and LLM governance. You will have the unique opportunity to architect and execute the growth strategy that scales Kimchi adoption and creates new revenue expansion opportunities for our existing customers. Requirements: Deep hands-on experience with LLMs: you've deployed them, fine-tuned them, evaluated them, or debugged their failure modes. You care about why model A outperforms model B for a specific task. You know what it's like to operate in a fast-moving environment that’s prone to change. You've built or optimized inference systems out of curiosity. You know the difference between latency, throughput, and total cost of ownership. You ballpark costs and performance implications in your head. You can explain complex inference concepts to non-ML engineers and help them see why it matters to their business. You can think commercially. You understand revenue expansion, can identify expansion opportunities within customer organizations, and can design strategies to capture them. You're not just a technical person, you're someone who combines technical excellence with entrepreneurial thinking about growth. Responsibilities : Lead hands-on demos of our flagship inference products - Kimchi Coding, Studio and Teleport. Set up Kimchi Studio workspaces within customer environments. Help teams configure worktrees, integrations (Slack, repos, docs), and skills so agents understand their conventions. Design and drive implementation of governance policies for customers: spending limits per team/developer, cost attribution by project, model routing preferences. Make sure the hard budget caps actually work for their org. Help teams integrate Kimchi's serverless inference API. Optimize model selection and routing for their specific workloads (coding, reasoning, planning tasks). Translate customer feedback into product input. Highlight where the agent fails, where Studio UX gets in the way, where governance policy doesn't match their needs. What’s in it for you? Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview 1-2 additional interviews based on the role Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Amsterdam, North Holland, Netherlands; EMEA; Lithuania; London, England, United Kingdom; Tel Aviv District, Israel Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. Join us as we build the future of autonomous infrastructure. About this role: You'll be the founding customer-facing engineer for our flagship Kimchi product within our Customer Success organization. Kimchi executes multi-model LLM workflows and autonomous agents with embedded governance and cost control. It intelligently routes across frontier and open-source models while enabling teams to establish strict budget caps, enforce model access policies, configure roles, and audit TCO via deep analytical tracking. Through Kimchi Studio, developers gain desktop access to agentic workflows, helping organizations accelerate adoption without sacrificing operational governance or spend visibility. This is a hands-on, individual contributor role where you will live at the intersection of inference optimization, autonomous coding agents, multi-model routing and LLM governance. You will have the unique opportunity to architect and execute the growth strategy that scales Kimchi adoption and creates new revenue expansion opportunities for our existing customers. Requirements: Deep hands-on experience with LLMs: you've deployed them, fine-tuned them, evaluated them, or debugged their failure modes. You care about why model A outperforms model B for a specific task. You know what it's like to operate in a fast-moving environment that’s prone to change. You've built or optimized inference systems out of curiosity. You know the difference between latency, throughput, and total cost of ownership. You ballpark costs and performance implications in your head. You can explain complex inference concepts to non-ML engineers and help them see why it matters to their business. You can think commercially. You understand revenue expansion, can identify expansion opportunities within customer organizations, and can design strategies to capture them. You're not just a technical person, you're someone who combines technical excellence with entrepreneurial thinking about growth. Responsibilities : Lead hands-on demos of our flagship inference products - Kimchi Coding, Studio and Teleport. Set up Kimchi Studio workspaces within customer environments. Help teams configure worktrees, integrations (Slack, repos, docs), and skills so agents understand their conventions. Design and drive implementation of governance policies for customers: spending limits per team/developer, cost attribution by project, model routing preferences. Make sure the hard budget caps actually work for their org. Help teams integrate Kimchi's serverless inference API. Optimize model selection and routing for their specific workloads (coding, reasoning, planning tasks). Translate customer feedback into product input. Highlight where the agent fails, where Studio UX gets in the way, where governance policy doesn't match their needs. What’s in it for you? Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview 1-2 additional interviews based on the role Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Worldwide About CENSUS CENSUS LABS is a cybersecurity engineering powerhouse specializing in securing products and organizations. Our identity is rooted in professionalism, engineering excellence, a scientific mindset, and hacking demeanor. We are research-driven, enabling us to deliver a diverse range of professional services. CENSUS is trusted to conduct high-impact product security engagements, helping our clients secure their solutions from design to deployment, using realistic and risk-informed approaches. Our expertise spans end-to-end systems, including Secure Communications, IoT, Medical Devices, Mobile, and Vehicle Computing platforms. Learn more about CENSUS at census-labs.com.  ** VALID PASSPORT REQUIRED FOR SECURITY CLEARANCE PURPOSES** About the Job CENSUS’ bespoke cybersecurity services are driven by a talented team of Security Engineers, Consultants, and Researchers whose work goes beyond traditional security assessment. Under the mentorship of our Engineering Managers, our consultants perform technical evaluations of complex systems and deliver insights that drive measurable improvements. We are seeking a technically strong and detail-oriented Senior Product Security Consultant to join our Cybersecurity Engineering team. The ideal candidate will have extensive experience in product-level security verification, threat model analysis, and product-level testing. You will be responsible for evaluating the security posture of software and system products by validating architecture, threat models, and security controls. You will participate in structured evaluation projects aligned with industry and regulatory standards such as Common Criteria, ISO/IEC 27002, or equivalent frameworks. Key Responsibilities Review and validate security documentation (e.g., Security Targets, threat models, trust boundaries, asset inventories). Assess the completeness, accuracy, and risk coverage of various threat models and risk assessment frameworks (STRIDE, LINDDUN, OWASP, TARA, TAL, etc.). Verify security requirement traceability across assets, trust boundaries, and system functions. Conduct architectural and implementation-level reviews of security controls (e.g., encryption, access control, key management). Perform targeted security testing (white-box and black-box) on system APIs, client/mobile apps, backend services, and cloud infrastructure. Validate implementation of cryptographic controls, key lifecycle procedures, and secure communication protocols. Evaluate the use of post-quantum cryptography and hybrid models in secure key management. Analyze secure deployment configurations across containerized platforms (Docker, Kubernetes), CI/CD pipelines, and cloud services. Deliver comprehensive, standards-aligned technical reports based on evaluation findings. Communicate product security risks clearly to both technical and non-technical audiences. Minimum Qualifications MSc or BSc in Computer Science, Electrical/Software Engineering, Cybersecurity, or a related technical discipline. 4+ years of experience in product security , software evaluation, or penetration testing. Proven ability to evaluate threat models, security requirements, and mitigation effectiveness. Strong technical writing and documentation skills in English. Excellent analytical skills and attention to detail. Required Skills In-depth understanding of security architecture and common system design patterns (e.g., API gateways, microservices, message queues, service meshes). Hands-on experience performing design-level security reviews and verifying implementation alignment with defined threat models. Familiarity with structured security frameworks such as Common Criteria, FIPS 140, ISO 15408, OWASP ASVS, and MASVS. Practical experience with security testing in diverse product environments (mobile, embedded, web/cloud, API). Knowledge of authentication, authorization, identity, and secrets management technologies (e.g., OAuth2, MFA, PKI, SSO, Cloud IAM, HashiCorp Vault). Proficiency in applied cryptography (e.g., mTLS, E2EE, AEAD, key derivation, key wrapping, remote attestation). Ability to identify security vulnerabilities across platforms (e.g., OWASP Top 10, misconfigurations, transport security gaps). Excellent documentation and communication skills, able to articulate technical risks and findings to diverse audiences. Problem solving skills, analytical thinking, and willingness to learn/grow. Nice-to-Have Skills Ability to read and analyze source code for logic flaws in one or more language families: Mobile: Swift, Obj-C, Kotlin, Java, Dart, JavaScript Web/Cloud: Java, Python, Go, PHP, Ruby, C#, JavaScript Native/Embedded: C, C++ Experience debugging or instrumenting applications across edge, embedded, or cloud platforms. Familiarity with Zero Trust architectures, enclaves, and confidential computing technologies. Exposure to fuzzing, symbolic execution, or static analysis techniques. Experience collaborating with distributed teams across different time zones and cultures. OUR Values & Core Competencies Act with Integrity We uphold the highest ethical standards and take full responsibility in every action — whether securing systems, researching vulnerabilities, or collaborating with clients. Trust is the foundation of our impact. Collaborate with Trust We bring together diverse perspectives across disciplines and borders, knowing that collective intelligence leads to stronger, more resilient outcomes. Challenge with Curiosity We question deeply, explore fearlessly, and pursue knowledge relentlessly to uncover threats, solve root problems, and drive smarter security decisions. Innovate to Protect We create with purpose — building secure, scalable, and forward-looking solutions that safeguard people, organizations, and the digital future. Adapt with Precision We move with speed and discipline — learning from failure, refining our approach, and staying focused amid complexity and constant change. Ready to Make an Impact? 📩 Apply today!

Location: Worldwide About CENSUS CENSUS LABS is a cybersecurity engineering powerhouse specializing in building secure and resilient systems. Our work is research-driven and engineering-focused, enabling us to deliver bespoke development and custom solutions at the intersection of cybersecurity and emerging technologies. By addressing complex product challenges, we help our partners evolve their platforms across domains such as secure communications, IoT, AI -powered systems, and enterprise applications. Learn more at census-labs.com. ** VALID PASSPORT REQUIRED FOR SECURITY CLEARANCE PURPOSES** We are seeking a Front End Software Engineer to design and build production-grade user interfaces for next-generation cybersecurity and data-intensive platforms. This is a 6-month fixed-term position. You will work as part of a team alongside the client, without being required to work on-site at the client’s premises. The role is centered on translating design specifications into responsive, high-quality web applications, with emphasis on data-dense views, interactive dashboards, and workflows that make large and complex datasets understandable and actionable. As part of cross-functional teams, you will work closely with product designers, backend engineers, and data engineers to deliver custom UIs from input designs (mockups and prototypes). Our projects operate across the spectrum of frontend engineering, applied AI , and cybersecurity, where the interface is often the primary way users explore findings, prioritize risk, and drive decisions. As part of this role, you will help shape products that are usable, performant, and visually polished. Key Responsibilities UI Development & Design Implementation Translate design specifications and prototypes (e.g., Figma) into pixel-accurate, responsive web interfaces. Build reusable, well-structured components and maintain a consistent design system across the product. Implement data-dense views such as inventories, detail pages, and interactive dashboards. Ensure cross-browser compatibility, responsiveness, and accessibility across the application. Data Visualization & Interaction Build interactive tables, filters, and visualizations for large structured and semi-structured datasets. Integrate charting and visualization libraries (such as ECharts, D3, or Recharts) for analytics and reporting views. Apply techniques such as virtualization , pagination, and lazy loading to keep data-heavy views performant. Contribute to conversational and natural language query interfaces where AI -assisted features intersect with the UI. API Integration & State Management Integrate frontend applications with REST/GraphQL backends and streaming endpoints. Design predictable state management and data fetching, caching, and synchronization strategies. Handle loading, error, and empty states gracefully for a robust user experience. Quality & Performance Optimize rendering performance, bundle size, and load times across the application. Write unit, integration, and end-to-end tests for frontend components and user flows. Participate in code reviews and uphold maintainable, well-documented frontend code. Collaboration & Delivery Work closely with designers to refine UX and close the loop between design and implementation. Translate requirements from product and engineering teams into robust frontend solutions. Contribute to PoCs, demos, and integration pilots, and support knowledge transfer with internal and partner teams. Minimum Qualifications BSc/MSc in Computer Science , Software Engineering , or related field (or equivalent practical experience). 4+ years of experience in frontend or full-stack development, with a strong focus on the frontend. Strong proficiency in JavaScript and TypeScript, and modern HTML5 and CSS3. Hands-on experience with a modern component-based framework (React preferred; Vue or Angular also considered). Proven experience translating design mockups and prototypes into production-quality interfaces. Solid understanding of responsive design, cross-browser behavior, and web accessibility. Experience integrating with REST or GraphQL APIs and managing application state. Familiarity with modern frontend build tooling and version control with Git . Strong problem-solving, debugging, and communication skills. Proficient in English and excellent communication skills. Preferred / Nice-to-Have Skills Experience building data-dense interfaces, operational dashboards, or analytics tooling. Familiarity with data visualization libraries (D3, ECharts, Recharts) and large-table performance techniques. Experience with design systems and component libraries (e.g., Storybook). Exposure to BI / analytics platforms such as Superset, including embedding or extending their UIs. Experience building chat or conversational UIs for AI / LLM -powered features. Knowledge of security concepts or experience working on cybersecurity products. Familiarity with containerization ( Kubernetes ) and CI/CD workflows. Experience with testing frameworks (Jest, Playwright, Cypress) and frontend observability.