Вакансии

Задачи: — проектировать архитектуру приложений: backend, frontend, базы данных, API и интеграции — декомпозировать крупные задачи и проекты до понятных этапов и оценивать трудозатраты — разрабатывать backend на Node.js / TypeScript и frontend на React — проектировать REST API, интеграции и модели данных — работать с PostgreSQL, при необходимости Redis, MongoDB, очередями сообщений — принимать технические решения с учётом производительности, масштабируемости, отказоустойчивости и безопасности — проводить Code Review и отвечать за качество технического результата — писать и контролировать Unit/Integration-тесты — работать с Docker и CI/CD — участвовать в релизах, разбирать production-проблемы, работать с логированием и мониторингом — создавать PoC для проверки технических гипотез — взаимодействовать с заказчиком и уметь объяснять технические решения понятным бизнес-языком Требования: — коммерческий опыт разработки от 5 лет — сильные знания TypeScript, Node.js, React, PostgreSQL — практический опыт проектирования систем целиком, а не только frontend-архитектуры — понимание System Design: монолитная и микросервисная архитектура, API, базы данных, очереди, кэширование, интеграции — умение работать с нефункциональными требованиями: производительность, нагрузка, масштабируемость, отказоустойчивость, безопасность и observability — опыт с Docker и CI/CD — опыт Code Review, Unit и Integration Testing — умение самостоятельно декомпозировать задачу и оценивать разработку в часах — опыт запуска решений от требований до production — самостоятельность в работе с бизнес-задачами: разбор требований, постановка вопросов, предложение архитектуры, оценка рисков и трудозатрат, организация разработки и доведение результата до production — умение работать с AI-инструментами (Claude Code, Codex, Cursor, GitHub Copilot или аналогичными) — декомпозиция больших задач для AI-агентов, постановка контекста, правил, инструкций — использование AI для разработки, тестов, Code Review, документации, рефакторинга и анализа legacy — организация работы нескольких AI-агентов с разными ролями — проверка и принятие сгенерированного кода, а не слепое доверие AI — понимание ограничений LLM: галлюцинации, потеря контекста, переусложнение решений, ошибки в архитектуре, потенциальные проблемы безопасности — сохранение персональной ответственности за технический результат независимо от участия AI Будет плюсом: — знание Kubernetes — опыт с Redis, Kafka / RabbitMQ, MongoDB — опыт с Prometheus, Grafana, Sentry — опыт работы с высоконагруженными системами — опыт сложных интеграций с внешними системами — участие в пресейле и технической оценке новых проектов — опыт технического лидерства или наставничества разработчиков Условия: — полная занятость — оформление по трудовому договору, договору ГПХ с самозанятым, с ИП или с физлицом — график 5/2 — удалённый формат работы

Задачи: — Общаться с бизнес-заказчиками и пользователями, выявлять реальные проблемы и переводить их в технические задачи. — Проводить discovery и анализировать процессы AS-IS / TO-BE. — Формализовывать требования к внутренним сервисам, AI/Data-решениям, CRM, BI и интеграциям. — Описывать ТЗ и функциональные требования, User Story, BPMN, CJM, sequence-диаграммы и критерии приёмки. — Прорабатывать требования к данным: определять источники, необходимые поля, правила расчётов, периодичность обновления и проверки качества. — Работать с SQL и данными для проверки гипотез, сверки результатов и анализа работы решений. — Проектировать и описывать интеграции через REST API, webhooks и внешние сервисы; работать с Postman и Swagger/OpenAPI. — Формировать и вести backlog инициатив, декомпозировать решения на задачи для разработки и определять приоритеты. — Взаимодействовать с разработчиками, аналитиками и другими участниками команды на всём цикле реализации. — Проводить функциональное тестирование, принимать реализованные задачи и сопровождать внедрение. — Участвовать в запуске AI/Data-проектов: скоринг, прогнозирование, аналитика, автоматизация процессов, LLM/AI-ассистенты и другие прикладные решения. — Оценивать не только технический результат, но и эффект решения для бизнеса: снижение ручного труда, скорость процессов, качество работы, конверсию, retention и другие продуктовые показатели. Требования: — Опыт работы системным аналитиком, solution engineer, техническим аналитиком или специалистом по внедрению от 4 лет. — Опыт самостоятельного ведения сложных задач от discovery и сбора требований до внедрения решения в production. — Умение работать с неоднозначными бизнес-задачами, где готового технического задания изначально нет. — Хорошее понимание интеграций и клиент-серверного взаимодействия. — Практический опыт работы с REST API, webhooks, JSON, Postman, Swagger/OpenAPI. — Уверенный SQL и понимание принципов работы с данными. — Опыт описания AS-IS / TO-BE, BPMN, User Story, функциональных требований и критериев приёмки. — Опыт работы с Jira / Confluence или аналогичными инструментами. — Умение разговаривать как с бизнесом и руководителями, так и с техническими специалистами. — Способность самостоятельно структурировать проблему, предлагать варианты решения и доводить договорённости до результата. Будет большим плюсом: — Опыт реализации AI/ML/LLM-проектов в production. — Опыт работы с CRM, BI, Data-платформами или системами автоматизации. — Знакомство с Kafka и event-driven интеграциями. — Опыт работы с n8n или другими automation/low-code инструментами. — Знакомство с Python. — Опыт работы с Superset, ELK, Trino или аналогичными инструментами. — Опыт взаимодействия с ML/Data Science-командами. — Опыт проектов, где можно показать конкретный измеримый эффект после внедрения. Условия: — Возможность удалённой работы. — Полный рабочий день. — Конкурентная заработная плата по итогам собеседования. — Спорт вместе с компанией, возможность заниматься спортом с командой. — Участие в стратегически важных проектах по цифровой трансформации крупных игроков рынка.

Проект: Мы разрабатываем и поддерживаем продукт ERA - систему комплексной диагностики продуктов и услуг. Наше решение позволяет производить диагностику, анализ и аудит продукта для получения комплексного решения развития, снятия барьеров роста. Цель проекта — построить полностью автономную экспертную систему, где ключевую роль играют смарт-агенты, выполняющие комплексный анализ без участия человека. Технологический стек: Язык программирования: Python 3.12+ Фреймворки: FastAPI, LangChain / LangGraph, FastStream Базы данных: PostgreSQL, Redis Очереди: Kafka, RabbitMQ Поиск и аналитика: Opensearch, Elasticsearch CI/CD: Jenkins, Nexus, BitBucket, SonarQube Инфраструктура: OpenShift (Kubernetes), DropApp, Docker Управление: Jira, Confluence Требования: Высшее профильное образование Опыт коммерческой разработки на Python от 4 лет (по ТК РФ) Уверенное знание Python 3.7+ (в проекте используется 3.12+) Понимание и успешный опыт применения паттернов проектирования (GoF, SOLID, GRASP) Опыт проведения код-ревью и работы по GitFlow Опыт разработки агентных систем с помощью langchain, langgraph и успешное внедрение в промышленную среду Опыт разработки приложений, основанных на микросервисной архитектуре Уверенное знание SQL и понимание принципов работы реляционных СУБД (PostgreSQL) Опыт написания unit-тестов Опыт разработки асинхронных приложений на Python Понимание жизненного цикла разработки приложений в контексте Agile Важно: Опыт и желание работать в команде, умение аргументировать свои решения и договариваться Задачи: Разработка co-pilot решения на базе данных RAG и применении LLM Разработка и интеграция AI-агентов, исследование новых поверхностей взаимодействия с AI Разработка микросервисов на Python в качестве MCP инструментов Анализ требований, формализация функционала, проектирование архитектуры взаимодействия агентов и сервисов Участие в планировании, декомпозиции задач и оценке сложностей, планировании спринтов на основе SCRUM церемоний Проведение код-ревью, поддержание высокого стандарта качества и чистоты кода Тесное взаимодействие с командой на всех этапах разработки Участие в подготовке и выпуске релизов, взаимодействие со смежными подразделениями Документирование своей работы и менторство джуниор-разработчиков Условия: Возможность участия в интересном проекте Возможность профессионального и карьерного роста в компании Опыт работы в команде профессионалов Уровень заработной платы обсуждается индивидуально Формат работы - офисный формат в Москве на период ИС, далее возможен гибрид

Задачи: — Проектирование и развитие архитектуры проектов, принятие ключевых технических решений — Работа с командой: перформанс-ревью и код-ревью, декомпозиция и приоритизация задач — Разработка микросервисов с последующей передачей в команду — Участие в DevOps-процессах: CI/CD, контейнеризация, инфраструктура — Настройка и поддержка мониторинга, логирования и алертинга — Ответственность за технический роадмап backend-части проектов Требования: — Опыт backend-разработки от 6 лет — Python на уровне senior, с пониманием сильных сторон и узких мест языка — Опыт работы с микросервисной архитектурой — Стек: Django, FastAPI, Celery, asyncio, PostgreSQL, ClickHouse, RabbitMQ, Kafka, Redis — Уверенное владение Docker и Kubernetes (все проекты контейнеризированы) — Опыт работы с GitLab CI/CD Будет плюсом: — Опыт с Telegram API (Telethon) и разработки ботов — Опыт в AI/ML: интеграция open-source LLM, понимание, какая модель подходит под конкретную задачу — Опыт работы с криптовалютой: поднятие нод, логика отправки транзакций и т.д. Условия: — Гибкий график 5/2 — Никакой бюрократии и тайм-трекеров — Оклад 350 000 – 450 000 ₽ на руки (по итогам собеседования), выплата в USDT — Работа в опытной продуктовой команде и возможность запускать проекты с нуля — Широкий спектр задач: от базовых до сложных и технологически интересных — Оплачиваемое обучение и повышение квалификации

Проект: Федеральный ритейл и еком. Задачи: — Функциональное, интеграционное и API-тестирование микросервисов транспортных компаний, работа с курьерской доставкой и выдачей на ПВЗ, подготовка тестовой модели и тест-кейсов, автоматизация регрессионных проверок API на Python. — Тестирование процесса декомпозиции монолитного PHP-приложения и переноса бизнес-функциональности в микросервисы на Go. — Проверка сохранения текущего поведения системы, API-контрактов, интеграций, корректности миграции и обработки данных. — Проведение функционального, интеграционного, регрессионного и сквозного тестирования. — Выявление расхождений между монолитом и новой микросервисной реализацией. Требования: — Общий опыт работы: от 3 лет в тестировании backend-сервисов, API и интеграций между корпоративными системами. — Опыт API-тестирования от 3 лет. — Опыт тестирования микросервисов от 3 лет. — Опыт работы с SQL/PostgreSQL от 2 лет. — Опыт тестирования асинхронных процессов и очередей/worker-компонентов от 2 лет. — Опыт работы с Docker/Kubernetes от 1 года. — Опыт работы с Jira/Confluence/GitLab от 1 года. — Релевантный проектный опыт: не менее трех коммерческих проектов уровня Enterprise. — Обязателен опыт тестирования микросервисной архитектуры, API-контрактов, интеграций с legacy-системами, асинхронной обработки, retry-логики, обработки ошибок внешних систем, идемпотентности и повторной выдачи результатов. — Отраслевой опыт: E-commerce, транспортная логистика, складская логистика. — Обязательные технологии/инструменты: Python для автотестов, pytest или аналогичный Python-фреймворк, REST API, Postman/Insomnia или аналоги, Swagger/OpenAPI, PostgreSQL, SQL, JSON/JSONB, GitLab, Jira, Confluence, Docker, Kubernetes, S3-совместимое хранилище, инструменты анализа логов и мониторинга. Желательные технологии/инструменты: — Опыт написания unit/integration/contract-тестов, RestAssured/Newman или аналоги, Kafka или RabbitMQ, Redis, MinIO, Grafana, Prometheus, OpenTelemetry, Allure/TestRail/Zephyr, Charles/Fiddler, PlantUML/C4. — Системы учета задач и документации: Jira, Confluence, GitLab. — Необходимо вести тест-кейсы, чек-листы, дефекты, результаты тестовых прогонов, фиксировать тестовые данные и ежедневно предоставлять отчет о проделанной работе в согласованном канале коммуникации.

Задачи: — Прямая работа с CTO: архитектурные и операционные задачи инфраструктуры — Поддержка и развитие кластеров Kubernetes: ArgoCD, Helm, GitLab CI/CD — Код на Go: внутренние утилиты и CLI, экспортеры метрик, операторы и хелперы для платформы, правки в сервисах монорепозитория — Инфраструктура как код — OpenTofu, Ansible — Сетевой контур: маршрутизация, VPN, DNS, TLS, ingress, firewall, сегментация — Docker / docker compose — локальные и staging-окружения разработчиков — Первая линия реакции на инциденты: разбор алертов, эскалация, постмортемы — Базовое администрирование сервисов — доступы, почта, админки Требования: — Kubernetes в проде — не «поднял minikube», а дежурил и чинил — GitLab CI/CD, ArgoCD, понимание GitOps-подхода — Сети — TCP/IP, DNS, NAT, VPN, TLS; умение читать tcpdump и не паниковать — Docker, docker compose — Ansible, OpenTofu (или Terraform) — Linux на уровне уверенного администрирования — Grafana и алертинг — дашборды, метрики и логи, настройка правил алертов, работа с Prometheus / Loki / Alloy — Сбор метрик с сервисов в Kubernetes — экспортеры и sidecar'ы, ServiceMonitor / scrape-конфиги, обвязка приложений метриками, RED/USE-подход к дашбордам — Kafka и NATS — не только «настроить», но и понимать семантику доставки, консьюмер-группы, отставание — Опыт highload и финтеха — платёжные интеграции, деньги, требования к надёжности — Готовность подключаться к инцидентам вне стандартных часов — Английский — документация и переписка Будет плюсом: — Go — умение писать и поддерживать код, а не только читать: утилиты, экспортеры, правки в сервисах — Опыт в iGaming

Проект: Мы разрабатываем систему, автоматизирующую весь жизненный цикл инвестиционной сделки. Наша инвестиционная платформа — уникальное решение на российском рынке для выдачи и сопровождения инвестиционного финансирования юридическим лицам. Современный стек и архитектура: - Микросервисная архитектура: Kubernetes, Docker, Istio, Kafka - Микрофронтовая архитектура: модульные фронтенд-модули - Интеллектуальные агенты: AI-банкир, AI-методолог - Производственные агенты: разработчик, тестировщик, ревьювер - Системы автоматизации: CI/CD, логистика, мониторинг Требования: - Глубокое знание JavaScript/TypeScript, React, Redux - Знание парадигм программирования, CSS, HTML - Опыт разработки микрофронтов - Fullstack-опыт: backend (микросервисы) + frontend - Опыт работы с автоматизациями и системами CI/CD - Агентный режим разработки: работа с LLM (LangChain, LangFuse, OpenCode, Codex, Claude, инференсы) - Опыт опенсорс-контрибуции и патчинга внешних библиотек - Умение проектировать и внедрять исследовательские гипотезы в продакшн Задачи: - Разработка и внедрение AI-агентов (AI-банкир, AI-методолог) - Разработка производственных агентов (разработчик, тестировщик, ревьювер) - Разработка и внедрение систем автоматизации производственного процесса - Исследования и выдвижение гипотез, проверка их в пилотных проектах - Интеграция решений в инвестиционный ландшафт Сбера - Реализация ключевых frontend-решений с учетом микрофронтовой архитектуры - Проведение code review и техническое проектирование - Наставничество и передача знаний команде Условия: - Возможность участия в интересном проекте - Возможность профессионального и карьерного роста в компании - Опыт работы в команде профессионалов - Уровень заработной платы обсуждается индивидуально - Формат работы - удаленно на территории РФ

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. Job Summary Fanatics Betting & Gaming (FBG) is building the industry's most trusted, scalable, and fan-centric sportsbook experience. Our Internal Platforms power critical systems that support customer operations, marketing, support, risk, and data—through a combination of Java backend services, APIs, event-driven systems, and integrations with the SaaS and CRM platforms our business teams run on. We are seeking a Staff Java Software Engineer to set technical direction for the services and integrations that Internal Platforms runs on. This is a senior individual contributor role for an engineer who operates with minimal guidance, takes on our most complex and often cross-functional problems, and raises the bar for everyone around them. At this level, your impact is measured beyond the code you write. You will own architecture for significant parts of the platform, drive decisions that span multiple teams and systems, mentor other engineers, and partner directly with Product, Operations, Support, Marketing, Risk, and Data leadership to shape what gets built and why. You will still be hands-on—Staff engineers at FBG write and review code every week—but you will spend meaningful time on design, technical strategy, and multiplying the output of the teams you work with. You do not need to be a Salesforce specialist. Some of our systems integrate with Salesforce for CRM and workflow automation, so exposure to it is a nice to have—but we're hiring for strength in Java, distributed systems, and integration design, and we expect you to pick up the platform specifics on the job. Key Responsibilities Technical Leadership & Architecture (Primary Focus) Own the architecture for major services, integrations, and data flows within Internal Platforms, from problem definition through production operation. Lead design for complex, often cross-functional initiatives—defining the approach, surfacing trade-offs, and driving alignment across engineering teams and stakeholders. Break ambiguous, department-level problems into clear technical plans and workstreams that other engineers can execute against. Evaluate and select technologies, patterns, and vendors; know when a sophisticated design approach is warranted and when the simpler answer is the right one. Establish and evolve engineering standards for the team—API design, testing strategy, observability, deployment, and integration patterns—and get them adopted in practice, not just documented. Identify systemic technical debt and reliability risk across the platform, build the case for addressing it, and sequence the work alongside feature delivery. Hands-On Engineering Design, build, and maintain Java-based backend services (Spring Boot or similar frameworks) that are scalable, resilient, and well-tested. Take on the hardest technical problems on the team: high-throughput event processing, complex multi-system integrations, thorny data integrity issues, and production incidents that cross service boundaries. Diagnose problems at the root cause rather than the symptom, and translate what you learn into durable fixes and better instrumentation. Set the quality bar through your own code and through high-signal code reviews that teach as well as gate. Contribute to internal web applications and user interfaces backed by Java services where it moves the work forward. Mentorship & Force Multiplication Mentor and coach Senior and mid-level engineers through design review, pairing, and direct feedback; help them grow the judgment to handle complexity independently. Create learning and growth opportunities for teammates—delegate meaningful design work, sponsor stretch assignments, and share context generously. Onboard and ramp new engineers into the platform's systems and conventions. Write the documentation, runbooks, and design records that let the team operate and extend the platform without you in the room. Model an inclusive, collaborative environment where opposing views are actively invited and disagreement is resolved on the technical merits. Cross-Functional Partnership & Delivery Partner with Product Managers, Technical Program Managers, and business stakeholders to shape roadmaps—bringing technical feasibility, sequencing, and risk into the conversation early rather than reacting to finished requirements. Work directly with Marketing, Operations, Support, Risk, Compliance, and Data teams to ensure platform capabilities meet business needs and regulatory obligations across jurisdictions. Represent Internal Platforms in architecture and design discussions with other engineering teams, negotiating clean contracts and shared ownership boundaries. Communicate complex technical problems, trade-offs, and decisions clearly to both engineering and non-engineering audiences, including leadership. Drive predictable delivery for initiatives you own: scope, estimate, unblock, and own the outcome—including the parts that depend on other teams. Engage external partners and vendors on integration design and technical escalations where needed. Third-Party & SaaS Platform Integration Own the integration architecture between our Java services and the third-party platforms our business teams depend on—REST APIs, platform events, middleware—including data ownership, consistency, and failure handling. Define scalable, reusable integration patterns and prevent the platform sprawl that comes from point-to-point fixes. Lead resolution of complex integration issues spanning backend services, vendor platforms, and data pipelines. Partner with platform-specialist engineers (including our Salesforce-focused engineers) to keep integration boundaries clean and maintainable. Operational Excellence Own production health for the services in your remit: SLOs, alerting, on-call quality, incident response, and post-incident follow-through. Anticipate failure modes, capacity limits, and blockers before they surface, and build the safeguards in advance. Improve engineering practice across the team—CI/CD, test automation, release safety, and developer productivity. Hold the line on the standards required of a regulated, highly available gaming platform. Qualifications Required 8+ years of professional software engineering experience, with deep expertise in Java. Demonstrated ownership of the architecture and delivery of complex production systems, including work that spanned multiple teams or functions. Strong experience designing APIs and integrating distributed systems, with sound judgment about consistency, failure handling, and service boundaries. Track record of operating with minimal guidance: taking an ambiguous problem, defining the approach, and driving it to production. Experience mentoring engineers and raising technical standards on a team—through design review, code review, and direct coaching. Ability to communicate complex technical concepts and trade-offs clearly in writing and in person, to technical and non-technical audiences alike. Experience with Git-based workflows, code reviews, and CI/CD pipelines. Experience operating services in production, including on-call ownership and incident response. Preferred Experience with event-driven architectures (Kafka or similar) at meaningful scale. Experience in cloud environments (AWS preferred), including infrastructure-as-code. Experience with highly available or regulated systems (gaming, fintech, payments). Experience contributing to internal web UIs or tooling, including Java-backed web frameworks and/or modern front-end frameworks consuming Java APIs (React, Angular, etc.) Experience working with AI model or agent platforms, including building on or integrating agents into production workflows. Familiarity with platforms such as Anthropic, OpenAI, Amazon Bedrock, LangChain, Google Vertex AI, Microsoft Copilot Studio, CrewAI, or AutoGen is a plus. Fluency with AI-powered coding assistants to design, build, and test new functionality from the ground up—moving quickly while maintaining high code quality and test coverage—and interest in helping the broader team adopt these workflows effectively. Nice to Have Exposure to Salesforce as an integration target or platform—Salesforce APIs, platform events, or light development work in Apex, Lightning Web Components, or Flows. Helpful context, not a requirement. Salesforce certifications (Administrator, Developer). What We Value Passion for building high-quality internal platforms that directly impact business outcomes. Strong ownership mindset: you own the outcome, not just your piece of it. A solutions-first approach—you anticipate problems and bring options, not just escalations. Genuine interest in making other engineers better. Comfort operating in a fast-paced, evolving environment with incomplete information. Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $1 — $1 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. Job Summary Fanatics Betting & Gaming (FBG) is building the industry’s most trusted, scalable, and fan-centric sportsbook experience. Our Internal Platforms power critical systems that support customer operations, marketing, support, risk, and data—through a combination of Java backend services, APIs, event-driven systems, and Salesforce platform capabilities. We are seeking a Senior Java Software Engineer to build and maintain scalable services that power our internal platforms. This role is full stack focused, with opportunities to contribute to user-facing internal tools as needed. Experience with Salesforce development and integrations is a strong plus, as many of our systems interface directly with Salesforce for CRM, workflow automation, and customer operations. This is a hands-on engineering role for someone who enjoys owning features end-to-end, solving complex integration problems, and working closely with cross-functional partners. Key Responsibilities Full Stack Engineering (Primary Focus) Design, build, and maintain Java-based backend services (Spring Boot or similar frameworks). Develop scalable, reliable, and well-tested services that integrate with Salesforce and other internal/external systems. Participate in architecture and design discussions for APIs, data flows, and distributed systems. Write high-quality, maintainable code with strong unit and integration test coverage. Troubleshoot and resolve complex issues across services, integrations, and data pipelines. Contribute to internal web applications and user interfaces backed by Java services. Internal UI & Application Development (Nice to Have / Secondary) Collaborate with frontend or full-stack engineers to support internal users across Operations, Support, Marketing, Risk, and Data teams. Partner with Product and UX (where applicable) to translate workflows into intuitive internal tools. Collaborate with backend engineers to define clean API contracts between UI layers and services. UI technologies may include Java-backed web apps, REST-driven front ends, or modern JavaScript frameworks consuming Java APIs. Note: This role does not require deep UI specialization, but comfort collaborating across UI and backend boundaries is valued. Salesforce & CRM Platform Integration (Secondary Focus) Build and maintain integrations between Java services and Salesforce using REST APIs, events, or middleware. Contribute to Salesforce development when needed, including Apex, Lightning Web Components, Flows, and configuration. Partner with Salesforce-focused engineers to ensure clean integration patterns, data integrity, and platform scalability. Help troubleshoot Salesforce-related issues tied to backend services, UI workflows, or integrations. Collaboration & Delivery Work closely with Product Managers, Technical Program Managers, and cross-functional partners to translate requirements into technical solutions. Collaborate with Marketing, Operations, Support, Risk, and Data teams to ensure systems meet business and regulatory needs. Participate in sprint planning, estimation, and delivery, ensuring predictable and high-quality outcomes. Communicate technical decisions, trade-offs, and implementation details clearly to stakeholders. Operational Excellence & Best Practices Follow and help improve engineering best practices including CI/CD, code reviews, testing strategies, and observability. Ensure services are performant, observable, and resilient, with appropriate logging, metrics, and alerting. Contribute to documentation, runbooks, and long-term platform improvements. Identify technical debt and propose pragmatic solutions. Qualifications Required 6+ years of professional software engineering experience with Java. Strong experience building backend services in a production environment. Experience developing APIs and integrating services with other systems. Familiarity with distributed systems, data flows, and service-to-service communication. Experience with Git-based workflows, code reviews, and CI/CD pipelines. Strong problem-solving skills and ability to work independently on complex systems. Excellent communication and collaboration skills. Preferred Experience contributing to internal web UIs or tooling, including: Java-baced web frameworks, and/or Modern front-end frameworks consuming Java APIs (React, Angular, etc.) Experience working with Salesforce as an integration partner or platform: Apex, Lightning Web Components, Flows, or Salesforce APIs Experience integrating Salesforce with Java-based services. Experience with: Event-driven architectures (Kafka or similar) Cloud environments (AWS preferred) Highly available or regulated systems (gaming, fintech, payments) Experience working with AI model or agent platforms, including building on or integrating agents into production workflows. Familiarity with platforms such as Anthropic, OpenAI, Amazon Bedrock, LangChain, Google Vertex AI, Microsoft Copilot Studio, CrewAI, or AutoGen is a plus. Familiarity using AI-powered coding assistants to design, build, and test new functionality from the ground up, with the ability to move quickly while maintaining high code quality and test coverage. Interest in leveraging emerging tools and workflows to improve developer productivity and platform throughput. Salesforce certifications (Administrator, Developer) are a plus, but not required. What We Value Passion for building high-quality internal platforms that directly impact business outcomes. Strong ownership mindset and commitment to engineering excellence. Collaborative approach and desire to continuously learn and improve. Comfort operating in a fast-paced, evolving environment. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $1 — $1 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Russia; Perm; Moscow Workplace: remote ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. THE ROLE We are hiring a Team Lead, Web3 to lead a cross-functional team of frontend, backend, smart contract and QA engineers in XsollaZK, Xsolla's Web3 ecosystem on a zkSync-based L2. Your team builds: smart wallets built on account abstraction; SDKs that game studios and partners use to bring players on-chain; infrastructure backend services for tokenizing in-game items and currencies; ecosystem dApps: a DEX, an NFT marketplace and an auction. This is a management role. Most of your time goes to people and delivery: building the team, growing engineers, and making delivery predictable. The rest goes to technical leadership: architecture, reviews and hands-on code where it matters. Responsibilities WHAT YOU WILL OWN The team: hiring, onboarding, growth and performance of frontend, backend, smart contract and QA engineers Delivery: predictable commitments, a sustainable pace and the quality of what the team ships How the team works: processes, engineering standards and an AI-assisted workflow Relationships with Product, DevOps and other Xsolla product teams: priorities, dependencies and expectations The technical direction of the team's product area: on-chain / off-chain architecture and key technical decisions, justified in writing Security and reliability of what the team ships: signing flows, contracts that hold user assets, production operation and the team's on-call rotation WHAT YOU WILL DO People Set clear goals and expectations for each engineer Run regular 1:1s, performance reviews and career development conversations; give direct feedback and address underperformance Hire engineers across disciplines: define roles, run interviews and onboard new people Grow engineers through mentoring and build the team's next leaders Build a culture of technical excellence, collaboration and continuous learning Delivery Work with Product to shape requirements, estimate and plan work Manage scope, workload, risks and dependencies so the team delivers on its commitments Report progress, risks and blockers to stakeholders Lead the team through production incidents and post-mortems Continuously improve development processes and team efficiency Technical leadership Review architecture and critical code across backend, frontend and smart contracts, with a focus on edge cases specific to Xsolla products: smart wallets, tokenization of in-game items and currencies, marketplace and auction flows Lead key decisions on smart wallet integration (UserOperations, paymaster and gas sponsorship), session keys and the signing flow Identify systemic risks (key management, signature phishing, bundler and RPC dependencies) and make sure they are addressed before they become incidents Contribute hands-on to critical features when needed Set up AI tooling in the repositories (Claude Code, Codex, Cursor: rules, context, harness) and drive its adoption across the team REQUIRED Management experience 5+ years of engineering management experience Managing cross-functional teams that combine several disciplines (for example frontend, backend, smart contracts and QA) Teams you led shipped dApps to production and maintained them People leadership Hiring and building teams: defining roles, running interviews, onboarding Performance management: setting goals, giving feedback, running performance reviews, handling underperformance Growing engineers: career plans, mentoring Delivery and stakeholders Delivery planning: estimation, sprint planning, managing scope, risks and dependencies Working with Product and other teams on priorities and trade-offs; explaining technical trade-offs to non-technical stakeholders Leading a team through production incidents and post-mortems Balancing management with hands-on technical work Technical depth A strong technical background: hands-on engineering experience across the Web3 stack, deep enough to lead technical decisions and review work on each layer: Web3 libraries and wallets: viem and wagmi in production; how wallet signers work (EOAs, browser and embedded wallets, smart accounts, EIP-191, EIP-712, EIP-1193); smart wallets (UserOperations, paymasters, ERC-1271) Backend: Go and TypeScript (Node.js); processing on-chain events (idempotency, reorgs, retries); asynchronous messaging (Kafka, RabbitMQ or NATS ); PostgreSQL and Redis; REST and gRPC API design Frontend: React and TypeScript; web security fundamentals ( XSS , CSRF , CSP , safe handling of signatures and keys in the browser) Smart contracts: reading Solidity and the EVM (storage, gas, proxy upgrade patterns, access control); common vulnerability classes (reentrancy, front-running / MEV , oracle manipulation, signature replay) Operations: Docker, Kubernetes, CI/CD; observability (we use Datadog; experience with Prometheus, Grafana, ELK / Graylog or OpenTelemetry also counts) AI-assisted engineering Daily hands-on use of AI coding tools (Claude Code, Codex, Cursor) for development and review, including configuring them for a repository English Spoken English at B2 level or higher Nice to Have ZK Stack and zk -rollups: EraVM vs EVM , system contracts (ContractDeployer, NonceHolder), L1↔L2 messaging, bridging and finality Smart contract development in Solidity with Foundry Deeper account abstraction: ERC-4337 EntryPoint versions and validation rules (ERC-7562, ERC-6492), modular accounts (ERC-7579 / ERC-6900), session keys and delegated permissions (ERC-7710 / ERC-7715), EIP-7702 Hands-on experience with wallet and AA infrastructure technologies (Sequence, thirdweb, Privy, Dynamic, Turnkey, Pimlico, Alchemy, ZeroDev, Safe{Core}), with clear views on build versus buy Key management: HSM , MPC / threshold signing, social or guardian-based recovery DeFi ( DEX , AMM ) and NFT marketplaces (ERC-721, ERC-1155, auctions) go-ethereum and abigen Managing distributed or remote teams Gaming or fintech experience with high-load systems HOW WE WORK Decisions in writing. Significant technical decisions are written up as an RFC or ADR that lays out the options and trade-offs. We discuss the document, not a blank whiteboard. AI is part of everyday engineering. We use AI coding tools for development and review, and we treat configuring them for a codebase as real engineering work. HOW WE HIRE Intro call. Your background, your motivation and the role. Technical interview. Built on the Technical depth part of the Required section and the technical items in What you will own . People and delivery. Built on the Management experience , People leadership and Delivery and stakeholders parts of Required : real situations from your experience with hiring, performance, delivery and incidents. Bar raiser. An engineer from outside the hiring team checks that you raise the overall engineering bar. BENEFITS We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we're not just building a business; we're cultivating a community that values creativity, collaboration, and the transformative power of play. EMPLOYMENT DETAILS Location: Remote  Employment Type: Full-time Schedule: 10:00–19:00 (flexible) Contract: Employment agreement (entity or EOR arranged per candidate location) EQUAL EMPLOYMENT STATEMENT Xsolla is dedicated to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, language, sexual orientation, national origin, genetics, political beliefs, disability, age, marital status, social background or other characteristics. We are committed to compliance with all fair employment practices regarding citizenship and immigration status. CONTACT If you have questions regarding our hiring practices, please contact careers@xsolla.com. For more vacancies, visit xsolla.com/careers.

Location: Russia; Moscow; Perm Workplace: remote About Xsolla Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. About the Role We are hiring a Staff Software Engineer to own the smart wallet and account abstraction layer of XsollaZK, Xsolla's Web3 platform on a zkSync-based L2. This is an individual contributor role with a large technical scope. You are the technical anchor for how millions of players get an on-chain account they never have to think about. The product. Every player who signs in with Xsolla ID receives a deterministic, non-custodial smart account. The account is derived from their identity claim, is identical on every device, and its private keys never leave the client. It is not a separate wallet screen: it is the player's inventory. It backs: minting and gifting; trading on our Bazaar marketplace; Merkle-based reward airdrops; gas sponsorship; an in-app dApp browser that exposes the same signer to third-party applications through an EIP-1193 provider. Responsibilities The technical strategy and architecture of the smart wallet platform: account model, signing, session management and gas abstraction at scale The smart account and permissioning model, evolved to meet both product and compliance needs The security model where our signer meets third-party applications: what a player is actually approving, and proof that the UI shows it The custody and recovery roadmap, from today's interim mechanisms (including raw key export) to MPC -based custody Cross-team technical decisions on account architecture, SDK contracts, data modeling and platform reliability, with buy-in from the wallet, marketplace, SDK, mobile and security teams Engineering standards in the Web3 domain Production escalations in the wallet and account abstraction domain WHAT YOU WILL DO Design and evolve the ERC -4337 user operation lifecycle (prepare → sign → submit → confirm), EIP -7702 delegation, deterministic address derivation from identity, and the session-key and permission primitives (including origin-bound Smart Sessions) that let players act without a prompt on every transaction Set the paymaster and gas-sponsorship strategy: what we sponsor, how we meter and cap it, how we defend it from abuse, and how it degrades when sponsorship is unavailable Define EIP -1193 / EIP -6963 provider behavior, origin-bound and policy-versioned sessions, trust tiers, and the transaction and signature confirmation flow Design recovery paths (passkeys, guardians, social recovery) that a non-crypto-native player can complete without losing assets Identify systemic risks (key management, signature phishing, reorgs and indexer staleness, bundler and RPC dependencies, contract upgrade paths) and lead initiatives that resolve them before they become incidents Write RFCs and design docs; review critical code, contracts and designs Work with product, security, legal and infra teams to align on the roadmap and turn business and regulatory needs into well-scoped technical plans Create leverage for the engineering org through documentation, tooling and mentorship Serve as the escalation point for complex production issues: a stuck user operation, a drained paymaster, a signing prompt a player didn't understand Set up and maintain AI tooling in the repositories (Claude Code, Codex, Cursor: rules, context, harness) so the team uses it effectively REQUIRED Experience 8+ years of engineering in the Ethereum ecosystem working with crypto wallets and smart wallets Designing or operating a production smart wallet or account abstraction system serving real users and real value Shipping and operating systems where a bug meant lost funds. You can talk concretely about the guardrails, reviews and rollback paths you put in place Account abstraction and smart wallets ERC -4337 in depth: EntryPoint (v0.6 through v0.8), the UserOperation lifecycle, bundler and paymaster roles, validation rules ( ERC -7562), gas estimation and its failure modes, counterfactual deployment, signature validation for undeployed accounts ( ERC -6492) EIP -7702 and the post-Pectra landscape: EOA delegation, its interaction with EntryPoint v0.8, and the risks it introduces (residual key authority, delegation phishing, storage collisions) Building on or extending production smart account implementations; modular account standards ( ERC -7579 / ERC -6900) Session keys and delegated permissions: scoped, time-limited, policy-bound authority; TTLs and contract allowlists, origin binding, permission revocation; ERC -7710 / ERC -7715 Signature schemes and wallet interfaces: EIP -712 typed data, ERC -1271 contract signatures, WebAuthn / passkey (P-256) signers; EIP -1193, EIP -6963, EIP -5792 batched calls, ERC -7677 paymaster interfaces Smart contracts and EVM Solidity and the EVM : reading, reviewing and writing account, paymaster and module contracts; gas-aware design; upgradeability and migration patterns; working effectively with external auditors L2 specifics and their effect on wallet design: native account abstraction on zkSync-family chains, transaction and fee models, finality and reorg behavior, RPC and indexer semantics Backend Go: idiomatic code, concurrency patterns, performance profiling TypeScript and SDK design: client-side SDK surfaces that internal and external teams build on Distributed systems and their trade-offs (consistency, availability, failure modes); reconciling off-chain state against an authoritative on-chain result Data and infrastructure PostgreSQL: schema design, query optimization, migrations at scale Kubernetes: deploying, operating and debugging services Asynchronous messaging and event-driven design (Kafka or NATS ): consumer groups, at-least-once delivery Git, CI/CD Security Key management in production: platform secure storage (Keychain / Keystore), HSMs, MPC or threshold signing, and the operational discipline around each Wallet threat modeling: signature and delegation phishing, malicious dApp origins, replay and cross-chain replay, token approval abuse, paymaster griefing and DoS Leadership Leading multi-quarter technical initiatives across teams Influencing architecture and standards beyond your immediate team RFCs and design docs that stand on their own and are actionable without you in the room AI-assisted engineering Daily hands-on use of AI coding tools (Claude Code, Codex, Cursor) for development and review, including configuring them for a repository English English at C1 level Nice to Have Hands-on experience with ZK Stack and zk -rollups Hands-on experience with embedded and ecosystem wallet and AA infrastructure technologies (thirdweb, Privy, Dynamic, Turnkey, Pimlico, Alchemy, Biconomy, ZeroDev, Safe{Core}), with clear views on build versus buy MPC / threshold custody, social recovery or guardian-based recovery in a consumer product NFT and token infrastructure at scale: ERC -721 / ERC -1155 / ERC -20 mechanics, marketplace contracts, Merkle-based airdrop and claim distribution, chain indexing services Contributions to open-source wallet, security or identity projects, including authoring or reviewing ERC / EIP standards Compliance requirements for crypto consumer products: KYC / AML , geofencing, MiCA , SOC 2, ISO 27001, GDPR data minimization, audit logging Identity and auth integration for wallet derivation: OAuth 2.0 / OIDC , JWT verification, token scoping Platform or infrastructure engineering: building systems other engineers build on Owning a mobile wallet surface: React Native / Expo, WebView provider injection, native signing UI Gaming industry experience: platforms for game developers, publishers or players How We Work Decisions in writing. Significant technical decisions are written up as an RFC or ADR that lays out the options and trade-offs. We work across time zones, so a design has to stand on its own. AI is part of everyday engineering. We use AI coding tools for development and review, and we treat configuring them for a codebase as real engineering work. HOW WE HIRE Intro call. Your background, your motivation and the role. Technical interview. Built directly on the What you will own and Required sections above. We won't ask about anything this posting doesn't promise. System design. You design part of a wallet or account abstraction platform end to end and walk us through the trade-offs. Bar raiser. An engineer from outside the hiring team checks that you raise the overall engineering bar. Benefits We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we're not just building a business; we're cultivating a community that values creativity, collaboration, and the transformative power of play. EMPLOYMENT DETAILS Location: Remote  Employment Type: Full-time Schedule: 10:00–19:00 (flexible)

Задачи: — Развитие собственной линейки продуктов — Устранение уязвимостей — Расширение функционала до уровня Enterprise решений — Обеспечение своевременной, надежной и качественной поддержки Требования: — Опыт тестирования бэкенда в IT-проектах от 4–5 лет, из них не менее 3 лет в банковской сфере (процессинг, кредитные конвейеры, ДБО) — Глубокое знание REST API: проектирование и декомпозиция тестовых сценариев на основе OpenAPI / Swagger — Проверка status code, структуры ответов, заголовков, rate-limiting — Владение SQL (PostgreSQL): написание сложных запросов с JOIN — Опыт работы с брокером сообщений Kafka: проверка событийной модели (producer/consumer) — Понимание микросервисной архитектуры: тестирование согласованности данных между сервисами — Опыт работы с контейнеризацией и окружениями: Docker, Kubernetes (понимание подов, сервисов) — Навыки работы с логированием и трейсингом: Kibana / ELK, OpenTelemetry / Jaeger — поиск «упавшей» транзакции по trace-id — Опыт с BPM-оркестраторами (Camunda) — проверка workflow длительно выполняющихся процессов Условия: — Формат работы: удалённо — Занятость: полная — Трудоустройство: ИП

Задачи: — Проектировать и разрабатывать backend-сервисы на C# и ASP.NET Core для интеграционных B2B-решений — Создавать Web API, фоновые сервисы и обработчики сообщений — Развивать и рефакторить существующий код, включая legacy-компоненты на .NET Framework — Участвовать в архитектурных обсуждениях и выборе инструментов и паттернов — Проектировать схемы данных, писать и оптимизировать SQL-запросы в PostgreSQL — Настраивать интеграции с внешними системами и обработку бизнес-событий — Работать с RabbitMQ или другими брокерами сообщений — Писать unit- и интеграционные тесты, участвовать в code review — Взаимодействовать с аналитиками, тестировщиками, архитекторами и представителями заказчика — Сопровождать задачи от уточнения требований до выхода в продакшен Требования: — Коммерческий опыт разработки на C# и .NET от 3 лет для Middle+ и от 6 лет для Senior — Уверенный опыт работы с ASP.NET Core, Web API и сервисной backend-разработкой — Знание .NET 6+, .NET 8 и понимание особенностей .NET Framework — Хорошее знание SQL и практический опыт работы с PostgreSQL или другими реляционными СУБД — Опыт разработки интеграционных B2B-сервисов и взаимодействия с внешними API — Опыт работы с RabbitMQ или другими брокерами сообщений — Практический опыт работы с Docker — Понимание принципов построения надёжных и поддерживаемых backend-сервисов — Опыт написания unit- и интеграционных тестов — Умение самостоятельно погружаться в предметную область, уточнять требования и предлагать решения — Опыт работы в распределённых продуктовых или проектных командах Будет плюсом: — Опыт работы в HealthTech, лабораторной диагностике или медицинских информационных системах — Опыт в eCommerce, Retail, маркетплейсах, логистике или платёжных интеграциях — Опыт в промышленности, металлургии, производственных и учётных системах — Практика профилирования сервисов и оптимизации производительности — Опыт работы с Kafka, Redis, MongoDB или ClickHouse — Знание Kubernetes и опыт настройки CI/CD в GitLab CI/CD, GitHub Actions или Jenkins — Опыт разработки микросервисных и событийных систем — Опыт интеграции .NET-приложений с ML- или AI-сервисами Условия: — Подработка — Оформление: Договор ГПХ с ИП, с физлицом — График: 5/2 — Формат работы: удалённо

Задачи: — Автоматизация тестов API – написание и поддержка автотестов для микросервисов (gRPC + Protobuf, REST, mTLS) на Python — Тесты UI‑админок – базовая автоматизация UI для проверок администраторских панелей — Интеграционное тестирование – проверка взаимодействия сервисов (Vault, Ory Stack, Keycloak, Kafka/NATS, PostgreSQL, Redis) в единой среде — Поддержка тестовой инфраструктуры – запуск тестовых стендов в Docker/Kubernetes (Helm‑чарты, GitLab CI), поддержка образов и конфигураций — Работа с секретами и правами доступа – проверка сценариев аутентификации/авторизации, политики доступа (Keto, Ory Hydra, Vault) — Внедрение тестов в CI/CD – добавление автотестов в пайплайны GitLab, мониторинг их стабильности — Сотрудничество – совместная работа с разработчиками, DevOps и продукт‑менеджерами, участие в ревью тестовой документации Требования: — Опыт работы в тестировании – от 3 лет (API, UI, интеграционные сценарии, регресс) — Язык программирования – знание Python — Технологии взаимодействия – знакомство с gRPC/Protobuf, REST, Kafka — Контейнеризация и оркестрация – опыт работы с Docker, Kubernetes — CI/CD – понимание принципов GitLab CI — Linux – уверенный пользователь (bash, работа с логами, настройка окружения) — Сетевые основы – базовое знание TCP/IP, HTTP, GRPC — Инструменты командой работы – опыт работы с Git, Jira, Confluence для документации и трекинга задач — Будет плюсом: Знание языка программирования Go Условия: — Полная занятость — Оформление: Трудовой договор — График: 5/2 — Формат работы: удалённо или гибрид (Москва)

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building high-load products used by millions of people worldwide. Operating at the scale of one of the world's top-50 websites, we solve complex engineering challenges and create solutions that power real-time entertainment for a global audience. We are looking for a Lead ML Engineer to own a new ML stream focused on fast delivery of applied machine learning solutions across different product and business domains. The stream will work with a broad range of ML challenges. Some initiatives may be relatively small and delivered within a few weeks, while others may prove their value and grow into larger dedicated projects. This role combines hands-on ML engineering with end-to-end technical delivery ownership. You will receive product problems and expected outcomes from Product or internal stakeholders, clarify the technical requirements and constraints, define the implementation approach, coordinate execution within the stream, and bring solutions to production readiness and launch. This is a highly hands-on role. The stream will not have a dedicated software engineer for every initiative, so we expect Data Scientists and ML Engineers to be comfortable working beyond experimentation and contributing directly to production code. The role is not tied to a single ML domain. We value strong ML fundamentals, engineering skills, pragmatism, and the ability to quickly understand new problem areas more than deep specialization in one particular class of models. Job Responsibilities Technical Delivery Ownership Turn product and business problems into concrete ML implementation plans. Clarify requirements, constraints, available data, integrations, and success criteria together with Product and relevant stakeholders. Define technical scope, milestones, dependencies, risks, and delivery estimates. Select appropriate ML approaches and determine the fastest reliable way to validate and implement them. Drive technical delivery through experimentation, implementation, integration, deployment, and launch readiness. Keep delivery on track, proactively identify blockers, and coordinate dependencies with other teams. Provide Product with clear technical options, trade-offs, estimates, risks, and experiment results required for product decisions. Support production rollout and iteration based on observed results. Hands-on ML & Engineering Design, train, evaluate, and deploy ML models across different domains and problem types. Write production-quality Python and contribute directly to implementation. Build APIs, batch jobs, data-processing pipelines, and ML services required to deliver solutions where appropriate. Work with classical ML, deep learning, and foundation-model-based approaches depending on the problem. Process and transform large production datasets using Python and SQL. Integrate models into existing production systems. Implement appropriate testing, monitoring, logging, and observability for delivered ML solutions. Work within the shared ML infrastructure, architecture, and engineering practices used across the company. Collaborate with Data Science, Backend, Data Engineering, and MLOps specialists when deeper domain expertise or infrastructure changes are required. Stream Execution Break initiatives down into concrete technical tasks and coordinate execution within the stream. Coordinate the work of Data Scientists and ML Engineers contributing to stream initiatives. Review technical approaches, experiments, and implementation. Keep the team focused on the agreed scope, priorities, and delivery timeline. Identify technical risks and dependencies early and drive them to resolution. Escalate architectural, infrastructure, or methodological questions when broader alignment is required. Help prepare successful initiatives for scaling or transition into longer-term ownership if they grow beyond the scope of the stream. Cross-functional Collaboration Work closely with Product throughout the delivery lifecycle. Independently gather the technical details and constraints required to execute on a product request. Communicate estimates, dependencies, technical trade-offs, and delivery status clearly. Work directly with Engineering and other internal teams to unblock implementation. Challenge technically unclear, contradictory, or infeasible requirements and propose practical alternatives. You’ll thrive here if you have 5+ years of commercial experience in Machine Learning, Data Science, or ML Engineering. Strong hands-on Python programming and software engineering skills. Experience taking ML solutions from a product requirement through experimentation, implementation, integration, and production. Strong understanding of machine learning methods, statistics, experimentation, and model evaluation. Experience writing maintainable production code rather than working exclusively in notebooks. Experience building APIs, services, batch processing, or data pipelines. Strong SQL skills and experience working with large production datasets. Practical experience with Docker and production deployment environments. Ability to turn partially defined problems into concrete technical plans. Ability to estimate work, identify dependencies and risks, and drive technical execution against a timeline. Experience owning technical delivery involving several contributors and coordinating work across dependencies. Experience reviewing code and technical approaches. Ability to work effectively within established engineering and ML practices while independently owning delivery within a stream. Strong communication skills and the ability to work directly with Product and technical stakeholders. Ability to balance speed and engineering quality: validate ideas quickly when uncertainty is high and build robust solutions when moving towards production. Nice to Have Previous experience as a Tech Lead, Stream Lead, or technical owner of ML initiatives. Experience with Kubernetes and CI/CD. Experience with Kafka or other streaming platforms. Experience with Airflow, MLflow, experiment tracking, model monitoring, or similar tooling. Experience building real-time or high-load ML services. Experience with FastAPI or similar Python service frameworks. Experience across several ML domains, such as recommendation systems, ranking, NLP/LLMs, Computer Vision, anomaly detection, forecasting, or classification. Experience with LLM inference, fine-tuning or other GenAI systems. Experience in teams where Data Scientists and ML Engineers own a substantial part of production implementation themselves.

Location: London, England Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Your job is to make sure every payout and transaction lands with the right person. We have spent years getting very good at protecting the things a marketplace has always had to protect: checkout fraud, account takeover, courier abuse. But we are no longer only a marketplace. We now issue banking products, lend to merchants, move instant payouts to couriers, and collect cash on the doorstep. Every one of those is a new way for money to leave the platform. This is a new team, and it owns that surface: fraud wherever money moves through the platform. Who receives it, who lends it, who collects it, and who holds it in a financial account. Think instant payout rails, merchant cash advances, and platform-issued banking and earned-wage products serving millions of couriers and merchants. These are live loss surfaces, and the volume grows with every financial product we launch. We are now looking for a Backend Engineer (Golang) to build that protection. You will design and ship real-time detection and automated enforcement for our financial products across DoorDash, Wolt, and Deliveroo. The work is high-throughput, low-latency, and unusually consequential: a rule you ship on Monday can stop a serious loss by Friday. It is also close to greenfield, so you will be setting the patterns every future financial product inherits on day one. This role will be based in London , UK as one of the founding engineering roles in our London hub, working closely with our teams in Helsinki and Berlin. What you'll do: Build and maintain high-throughput, low-latency backend services in Go that score financial events in real time, including payout enrollments, bank account links, credit applications, and account-to-account transfers. Design fraud detection and automated enforcement for our financial products end to end: from signal collection through to the decision that blocks a fraudulent payout. Build on and extend our shared fraud decisioning platform, so signals, rules, and models work across all three of our brands instead of being rebuilt three times. Partner closely with risk analysts, data scientists, and product managers to turn observed fraud patterns into shipped detection, and to know when a rule, a model, or a product change is the right answer. Work across team boundaries with our account security, payments fraud, and financial product teams. We build on their signals rather than rebuild them, so clean interfaces matter. Contribute to architectural discussions and technical decisions as we establish the fraud infrastructure baseline for financial products, with support from senior engineers on the team. Write well-tested, observable code and help the team hold a high quality bar. In fraud, a silent failure is a loss event. Our expectations: 3 to 6 years of professional software engineering experience, including backend services you have shipped and owned in production. 1+ years of production experience in Golang, or strong experience in another backend language and real enthusiasm for picking Go up quickly. A working understanding of low-latency, high-throughput distributed systems. Real-time decisioning comes with a latency budget, and you are keen to learn to build inside one. Hands-on experience with SQL and/or NoSQL databases, and some exposure to event-driven architectures (Kafka or similar). Willingness to operate what you build, including a share of on-call, with a pragmatic approach to reliability. Uses AI tooling in day-to-day development and can critically evaluate its output for correctness and quality. Nice to have Experience in fraud, risk, payments, lending, or financial crime, especially money movement fraud, bank account linking fraud, payout abuse, or lending fraud. Experience with rules engines, real-time feature stores, or ML model serving in a decisioning path. Background in Kotlin, Java, Python, or Node.js alongside Go. Familiarity with cloud infrastructure (AWS, GCP). Experience working across multiple brands, regions, or regulatory regimes. What we value A product-oriented mindset. You think beyond the ticket, understand the "why" behind the work, and take a high level of responsibility for outcomes rather than output. Comfort with ambiguity. This is a new team on a new surface; parts of the charter are still being drawn, and you will help draw them. A track record of owning a project or feature end to end, especially in fast-paced environments. Clear and proactive communication, with a collaborative spirit. We work across three companies and several time zones, so we move fast, but we succeed together. An adversarial instinct. The best fraud engineers enjoy thinking like the attacker. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Задачи: — Разрабатывать и поддерживать backend-сервисы на Python под руководством опытных разработчиков — Создавать и дорабатывать REST API — Работать с PostgreSQL и другими базами данных — Писать понятный, чистый и тестируемый код — Исправлять баги и участвовать в улучшении существующего функционала — Покрывать код тестами и самостоятельно проверять свои решения — Работать с Git и участвовать в командной разработке — Знакомиться с Docker и CI/CD-процессами — Участвовать в code review и технических обсуждениях — Взаимодействовать с разработчиками, QA и DevOps — Постепенно погружаться в архитектуру backend-сервисов и инженерные практики — Изучать новые технологии и применять их в работе Требования: — Знание Python на уровне, достаточном для разработки небольших backend-приложений — Понимание основных принципов ООП и структур данных — Базовое понимание HTTP и REST API — Опыт работы хотя бы с одним Python-фреймворком: FastAPI, Flask, Django или аналогичным — Базовое знание SQL и опыт работы с PostgreSQL или другой реляционной БД — Понимание принципов работы Git — Представление о Docker и контейнеризации — Понимание основ написания unit-тестов — Готовность разбираться в чужом коде и самостоятельно искать решения — Желание развиваться в backend-разработке и изучать новые технологии Будет плюсом: — Учебные, pet-проекты или опыт коммерческой разработки на Python — Опыт работы с FastAPI — Знакомство с SQLAlchemy или другой ORM — Понимание asyncio и асинхронного программирования — Опыт работы с Redis — Базовое знакомство с Kafka, RabbitMQ или другими брокерами сообщений — Знание Swagger/OpenAPI — Опыт работы с Docker Compose — Знакомство с CI/CD — Понимание основ логирования и мониторинга — Знакомство с Kubernetes — Техническое образование или профильное обучение Условия: — Участие в разработке реальных IT-продуктов и сервисов — Возможность работать с современным Python-стеком — Наставничество и поддержку опытных разработчиков — Постепенное погружение в backend-разработку и архитектуру сервисов — Гибкий график и результативно-ориентированный подход — Конкурентоспособный уровень дохода — Возможность профессионального и карьерного роста — Работу в сильной инженерной команде и постоянный обмен опытом — Быстрое подключение к проектам — Доступ к корпоративной библиотеке

Location: Baku Workplace: onsite ABOUT YOU You will play a pivotal role in delivering high-impact software solutions across our platform. You bring curiosity, initiative, and a passion for clean, scalable systems. You collaborate effectively with teammates and cross-functional partners to design, build, and improve our technical stack. You’re hands-on, deeply engaged in the code, and consistently seeking better ways to solve complex engineering challenges.   ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.   For more information, visit xsolla.com. WHAT YOU'LL DO Software Engineering & Problem Solving: Build and ship reliable, secure, and scalable backend systems. Own implementation from design to deployment, ensuring maintainability and performance. Participate in architectural discussions and offer informed technical input. Refactor legacy codebases to improve structure and efficiency while maintaining feature continuity. Drive production readiness by handling incident response, root cause analysis, and observability improvements. Technical Excellence: Write clear, testable, and well-documented code, emphasizing quality and automation. Contribute to a culture of engineering excellence through code reviews and design discussions. Advocate for sound software development practices and continuous improvement. Collaboration & Impact: Work closely with product managers, designers, and other engineers to align on objectives and deliverables. Contribute to technical scoping and estimation for features and infrastructure work. Identify opportunities to reduce technical debt and improve the developer experience. QUALIFICATIONS 6+ years of professional experience in software engineering. 2+ years of hands-on experience with Go (Golang ) in production environments. Strong experience working with PostgreSQL and/or MySQL. Proficient with containerization and orchestration tools: Docker, Kubernetes (K8s), and Helm. Familiarity with messaging systems like RabbitMQ or Kafka. Comfortable using Git and CI/CD tooling in collaborative workflows. Working knowledge of frontend technologies, especially React and/or Next.js . Basic understanding of cloud platforms (GCP preferred). WHAT SETS YOU ARART Experience building scalable, secure Login-as-a-Service platforms. Deep knowledge of OAuth2, OIDC, SAML, JWT, and session/token management. Strong grasp of social login, SSO, and federated identity. Designed multi-tenant identity systems with isolation and configurability. Delivered developer-friendly APIs, SDKs, and integration documentation. Strong English communicator, for both technical and non-technical topics. The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers