Вакансии

Задачи: — Проектировать и поддерживать интеграцию источников данных (взаимодействие с процессинговыми системами и Автоматизированной Банковской Системой / АБС); — Организовывать мониторинг актуальности входящих данных и оперативно реагировать на инциденты; — Готовить данные для загрузки в оговоренные форматы хранения (Data Lake / DWH) для последующего потребления смежными командами; — Разрабатывать и оптимизировать витрины данных для BI-отчетности в Superset и PowerBI; — Проводить глубокую проверку качества данных (Data Quality), выявлять аномалии и устранять корневые причины ошибок; — Обеспечивать бесперебойную актуальность данных, нести ответственность за соблюдение SLA и быстрое восстановление при авариях. Требования: — Опыт в направлении финтех; — Отличное знание SQL (DDL/DML) в PostgreSQL; — Хорошее знание SQL (DDL/DML) в ClickHouse; — Отличные навыки оптимизации SQL-запросов в PostgreSQL; — Отличные навыки работы с Python: написание и поддержка DAG-ов в Airflow, опыт работы с асинхронными сервисами; — Хорошие навыки конфигурирования PostgreSQL.

Задачи: — Управление жизненным циклом уязвимостей в технологическом стеке Glean, включая обнаружение, приоритизацию, устранение, отчетность и измерение. — Усиление безопасности базовых образов ОС и обеспечение безопасности зависимостей открытого программного обеспечения, менеджеров пакетов и цепочки поставок ПО. — Интеграция SAST, DAST, сканирования зависимостей и автоматической проверки безопасности в CI/CD пайплайны. — Оценка, внедрение и разработка решений и инструментов безопасности, включая Google’s Assured OSS и аналогичные подходы. — Определение практик безопасного кодирования и продвижение их среди инженерных команд через руководство, обучение и наставничество. Требования: — Степень бакалавра в области компьютерных наук, кибербезопасности или смежной области, либо эквивалентный опыт. — Опыт работы в области безопасности приложений и управления уязвимостями не менее 8 лет. — Глубокое понимание уязвимостей программного обеспечения, включая CVE, OWASP Top 10 и риски цепочки поставок. — Опыт работы с инструментами SAST, DAST, сканирования зависимостей и управления уязвимостями (например, Snyk, GitHub Dependabot, Trivy, Clair, Burp Suite, OWASP ZAP). — Практический опыт облачной безопасности в AWS, GCP, включая контейнеры, Kubernetes и микросервисы. — Способность вести межфункциональные инициативы и продвигать безопасность среди инженерных команд. — Проактивность, прагматичность, умение решать проблемы и балансировать безопасность с производительностью и удобством использования. Условия: — Удаленная работа. — Годовой базовый оклад от $185,000 до $260,000, зависит от местоположения, уровня, знаний, навыков и опыта. — Возможность переменной компенсации, акций и социальных льгот. — Медицинское, офтальмологическое и стоматологическое страхование. — Щедрая политика отпусков. — Вклад в пенсионный план 401k. — Стипендия на улучшение домашнего офиса, ежегодные стипендии на образование и оздоровление. — Регулярные корпоративные мероприятия и ежедневные здоровые обеды. Дополнительно: — Компания поддерживает разнообразие и инклюзивность, не дискриминирует по различным признакам. — В процессе собеседования предусмотрено AI-ориентированное упражнение для оценки понимания и использования AI в работе. — Соблюдение международных норм по защите данных кандидатов (GDPR, CCPA и др.).

Ищем инженера по VoIP и Asterisk, который возьмёт на себя ответственность за поддержку и стабильную работу нашей телефонной инфраструктуры. В задачи входит самостоятельное выявление и устранение проблем, связанных с Asterisk, SIP и VoIP. Требуется опыт работы с Linux и навыки администрирования телекоммуникационных систем. Работа полностью удалённая.

Задачи: — Выполнять функциональное, интеграционное, регрессионное и приёмочное тестирование; — Проводить финальные release test runs перед выкладкой в production; — Анализировать требования до старта разработки: выявлять пробелы, противоречия и неочевидные сценарии; — Тестировать API (Postman /REST Assured), интеграции между сервисами, брокеры сообщений (RabbitMQ /Kafka), данные в БД (PostgreSQL /MS SQL Server); — Выстраивать прозрачную трассируемость: требования → тест-кейсы → test runs → дефекты → релизы в TMS; — Готовить отчётность по результатам тестирования: покрытие, статус, дефекты, остаточные риски, рекомендация по релизу; — Применять AI-инструменты в QA: генерация тест-кейсов, анализ требований, автоматизация тестовой документации; — Участвовать в выстраивании QA-процессов и улучшении SDLC/STLC; — Менторить Junior и Middle QA-специалистов; проводить ревью тест-кейсов и баг-репортов. Требования: — Опыт в QA-инженерии C# от 5 лет; — Глубокое знание техник тест-дизайна: эквивалентное разбиение, граничные значения, попарное тестирование, state transition; — Уверенная работа с API-тестированием: Postman, REST Assured или аналоги; — Навыки SQL-тестирования: PostgreSQL и /или MS SQL Server; — Опыт тестирования асинхронных систем и брокеров сообщений: RabbitMQ и / или Kafka; — Уверенная работа с TMS (Qase, TestRail, Zephyr) и Jira; — Опыт написания автотестов: Selenium, Playwright, Cypress или аналоги; — Понимание CI/CD-процессов и участие в тестовых пайплайнах; — Интерес к применению AI в QA-процессах; — Опыт менторинга Junior /Middle QA-специалистов. Условия: — Работа в команде экспертов; — Широкий технологический стек, сотни проектов; — Гибкий график работы; — Льготы и меры господдержки, предусмотренные для IT-компаний (аккредитованы Минцифры); — Возможность разрабатывать IT-решения для разных отраслей, пробовать новые технологии; — Выстроенные процессы удаленной работы, просторные офисы с зонами коворкинга; — Возможность прокачаться во всех интересующих направлениях; — Развитая система наставничества, сертификация за счёт компании, участие в конференциях, изучение английского языка; — Активный обмен опытом, внутренние и внешние митапы, хакатоны, доклады по развитию hard и soft skills; — 50+ клубов по интересам и профессиональных сообществ внутри компании; — Уютный мерч; — Полный соцпакет и «белая» зарплата; — Корпоративная база знаний и социальная сеть для удобства общения с каждым из 1500+ сотрудников; — Гибкий ДМС (депозит/риск) + подключение родственников по желанию; — Забота о ментальном здоровье: онлайн-консультации с психологом.

В роли старшего инженера-программиста в команде Blockchain Networks компании Coinbase предстоит разрабатывать и внедрять инфраструктуру блокчейн-сетей, которая упрощает взаимодействие с блокчейнами через надежные API платформы. Задачи включают руководство крупными проектами, такими как интеграция новых цепочек, реархитектура систем и миграция данных с целью повышения производительности, надежности и снижения затрат. Необходимо определять и поддерживать API, соглашения об уровне обслуживания (SLO) и средства наблюдения за системами, а также участвовать в дежурствах. Взаимодействие с продуктовыми и платформенными командами для установления контрактов данных и выпуска SDK и платформенных примитивов, способствующих широкому использованию внутри Coinbase, также входит в обязанности. Требуется глубокое понимание нескольких ведущих блокчейн-протоколов, таких как Bitcoin и Ethereum, и применение этих знаний для упрощения операций между цепочками. Кандидат должен иметь более 5 лет опыта разработки программного обеспечения с подтвержденным управлением производственными сервисами в сервис-ориентированной архитектуре, опыт проектирования, масштабирования и поддержки распределенных систем с высокой пропускной способностью и низкой задержкой. Практические навыки работы как минимум с двумя из следующих технологий: Golang, Kafka, Redis, MongoDB или аналогичными инфраструктурными инструментами. Наличие прямого опыта работы с блокчейн-протоколами или криптоинфраструктурой, включая интеграцию с Ethereum, Bitcoin или подобными сетями L1/L2. Способность разбирать сложные системы, включая монолиты и устаревшие архитектуры, на четко ограниченные микросервисы с ясными API-контрактами также необходима.

Задачи: — Администрировать и развивать Asterisk / IP-телефонию — Настраивать SIP-транки, endpoints, dialplan и маршрутизацию — Работать с ARI / AMI и интеграциями с backend/CRM — Диагностировать SIP/RTP и проблемы качества связи — Работать с Linux, MariaDB/MySQL, CDR — Настраивать безопасность: Firewall, Fail2Ban, ACL — Поддерживать стабильную работу телефонии и автоматизированного обзвона Требования: — От 2 лет практического опыта с Asterisk — Хорошее знание SIP, VoIP, NAT, RTP, кодеков — Linux + базовый SQL — Опыт с ARI и/или AMI — Умение самостоятельно находить и устранять проблемы — Будет плюсом: Redis, Nginx, Grafana/Prometheus, Heplify Условия: — Формат работы: Remote / Home Office — График: 5/2, 09:00–18:00 — Занятость: Full-time — Зарплата: $3,000 фикс Рассматриваются кандидаты из Армении, Азербайджана, Грузии, Кыргызстана, Молдовы, Узбекистана, Таджикистана.

Требуется Data engineer. Требуемые навыки: — senior — Python.

Задачи: — Разбираться в бизнес-контексте проблем клиентов — Общаться с командами Product, Mobile, Operations — Устранять неопределённость в задачах — Проектировать решения — Декомпозировать работу — Использовать AI-агентов для реализации решений — Проверять результаты — Запускать решения в production Требования: — Сильные знания Go — Опыт коммерческой разработки 5+ лет — Опыт работы с распределёнными и высоконагруженными системами — Знания PostgreSQL/MySQL, Linux, Git, Docker — Архитектурное мышление — Самостоятельность и развитые коммуникативные навыки — Практический опыт работы с AI coding tools / AI agents — Базовые знания PHP/Laravel Условия: — Работа в цифровом финансовом институте, мобильном банке и web-приложении с платежами, страхованием, коммунальными услугами и marketplace финансовых продуктов — Формат работы: удалённый — Оформление по ТК Стек технологий: Go, PostgreSQL, Docker, GitHub, TeamCity, Jira, Confluence, Laravel

Location: Singapore; Melbourne; Sydney Workplace: Hybrid 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. WHAT YOU WILL DO As an AI Deployment Strategist, AI4Eng for Physics and Engineering in APAC, you are Mistral's forward-deployed operator on strategic enterprise accounts across automotive, aerospace, semiconductors, industrial equipment, and energy. You own the delivery of AI solutions for physics and engineering challenges end-to-end. Discovery, Scoping & Solution Design: - Run technical discovery sessions to understand business and engineering requirements. - Identify, qualify, and prioritize use cases aligned with the customer's strategic R&D and product-development challenges. - Translate business goals into a concrete AI roadmap and high-level solution architecture, validating feasibility with Product and Applied AI teams. - Build ROI models and business value propositions, and own scoping documents and SOW inputs. Delivery & Program Management - Own end-to-end delivery: discovery → design → build → deploy → adoption. - Set up the account operating model: governance, decision forums, and cadence. - Drive day-to-day execution: priorities, milestones, unblockers, and risk management. - Drive scope control and change management, ensuring the right artifacts are produced (design doc, runbook, eval plan, rollout plan, handover). - Bring knowledge of processes and regulations from the industries we serve (aerospace, semiconductor, automotive, industrial equipment, energy). Adoption, Value Realization & Expansion - Lead user testing, training, change management, and developer enablement. - Track value realization against agreed KPIs and report to executive sponsors. - Capture field learnings and feed product gaps and platform needs back to Product, Science, and Engineering. ABOUT YOU - Advanced university degree in physics or engineering, or IT. - 5+ years of experience as a (technical) project manager in a relevant industry, e.g., automotive, semiconductors, or aerospace. - Experience in software development, machine learning, and ideally in numerical simulations for physics and engineering (CAE, CFD, FEM, DEM, etc.). - Hands-on coding proficiency (Python at minimum), with the ability to read design docs and hold your own in deep technical conversations with data scientists, ML engineers, and simulation engineers. - Strong grasp of where AI creates value in computational science: surrogate models, PDE solvers, FEM/CFD acceleration, inverse problems, and differentiable simulation. - Familiarity with deployment patterns (SaaS, VPC, on-prem, hybrid), security and compliance basics, and ideally agile project management methodologies. - Strong communication skills with the ability to explain complex technical concepts in simple terms and to manage C-level stakeholders. We are looking for adaptable team players who excel in a fast-paced environment, are ready to own delivery across APAC accounts, and are prepared to support pre-sales motions to contribute to our shared goals and growth. INTERVIEW PROCESS - Talent Acquisition screening call (30 min) - 30 min Hiring Manager Interview - 45 min Technical Interview (physics, simulation, and AI deep dive) - 45 min Business Acumen Interview - Panel (Customer Meeting Role-Play & Use Case Scoping Exercise, 1h) - 30 min Value Talk - Reference check 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.

Требования: — 1-3 года практического опыта разработки встроенного ПО на C/C++ для микроконтроллеров (считается также сильный опыт стажировок или проектов).

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role At Anthropic, we're building AI systems that are safe, beneficial, and transformative. Our mission is to develop AI that benefits humanity, and we believe the most powerful capabilities emerge when we thoughtfully bridge the gap between research breakthroughs and real-world applications. Frontier AI runs on datacenters, and the world is in the middle of the largest infrastructure buildout in a generation. The binding constraint on progress is increasingly everything around the chips: land, power, permits, equipment, and the design and construction of the buildings themselves. Bringing a single site online involves hundreds of people, thousands of components, and decisions that move enormous amounts of capital. Much of that work still runs on spreadsheets and handoffs. At Anthropic, we're building software and Claude-powered tools to help Anthropic scale out its compute, and we think there's an enormous opportunity to rethink how that work gets done. It's early, it's already having a real impact, and the engineers who join now will shape how one of the most consequential buildouts in the world gets done. We're looking for strong, versatile software engineers who love building for people doing real work in the physical world. You'll embed with the teams that source sites, design buildings, procure equipment, and manage construction, learn their work deeply, and build the tools and systems they rely on every day. Datacenter experience is a big plus, but what matters most is that you can earn the trust of expert operators, model a messy domain cleanly, and move fast. Responsibilities Build the core systems that track a datacenter's lifecycle (sites, designs, bills of materials, equipment, and construction progress) in one trusted, permissioned source of truth Embed with datacenter, energy, and supply chain teams to understand how the work actually gets done, find the critical path, and build the tools they reach for first Bring order to messy data by migrating and reconciling spreadsheets and legacy trackers, and integrate with the industry's tools, like construction management, scheduling, and engineering systems Design for trust: fine-grained permissions, auditability, and data quality for information that steers major investment decisions Ship early, iterate with users, and cut anything that doesn't help bring compute online sooner Partner with research to understand new model capabilities and share where they fall short in engineering-heavy, physical-world domains You may be a good fit if you Have 8+ years of experience building software, with strong full-stack skills and solid grounding in data modeling, APIs, and databases Have built software that teams in a physical-world industry depend on, such as datacenters, construction, energy, manufacturing, supply chain, or logistics Have a track record of zero-to-one work in startup or startup-like environments Are deeply user-centric: you learn the domain from the people doing the work and validate with them before over-investing Bring high agency and good judgment about what matters, and hold strong opinions loosely Communicate clearly across engineering, operations, and research, and care about the societal impacts of your work Strong candidates may also have Experience in datacenters (at a hyperscaler, colocation provider, operator, utility, or engineering firm), or in adjacent fields like construction, logistics, or legal Experience with the domain's tooling, such as construction management (Procore, Autodesk Construction Cloud), scheduling (Primavera P6), PLM/BOM, ERP and procurement, CAD/BIM, DCIM, or power system studies A background in electrical, mechanical, or civil engineering, energy systems, or supply chain alongside a software career Experience building products with large language models Candidates need not have 100% of the skills listed above Formal certifications or education credentials Direct machine learning or AI research experience Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Задачи: — Решать технические проблемы клиентов от начала до конца (Helpdesk + Slack) в рамках SLA — Проводить анализ корневых причин с использованием Grafana, Datadog (логи, метрики, трассировки) — Создавать дашборды мониторинга и проактивные оповещения — Писать скрипты на Python для автоматизации и массовых операций — Активно использовать AI-инструменты (Claude, Cursor, ChatGPT) для ускорения устранения проблем Требования: — Опыт ежедневной работы с LLM и prompt engineering — Практические навыки работы с Grafana и Datadog (создание дашбордов и оповещений) — Скриптинг на Python и хорошее понимание распределённых систем — Опыт 2+ года в TechOps/технической поддержке (приветствуется опыт в FinTech/Forex/Crypto) — Отличное владение английским языком (C1+) Условия: — Удалённая работа, предпочтительно в часовом поясе GMT+5 - GMT+8 Если вы технически любознательный решатель проблем, который хочет работать с современными AI-инструментами в реальном FinTech продукте, отправьте резюме.

This is an Early Career Software Engineer role at Google. The position is titled 'Software Engineer, Early Career, Campus' and is available in Pittsburgh, PA; Mountain View, CA; and 8 more locations. The salary range is $123K-$174K per year.

Задачи: — Использовать AI-инструменты для разработки функций на backend, web, Android и iOS. — Сотрудничать с продакт-менеджерами для преобразования целей в решения. — Проектировать и строить высоконагруженные распределённые системы с обеспечением качества через автоматизированное тестирование. — Отвечать за полный жизненный цикл функций от проектирования до выпуска. Требования: — Опыт в разработке ПО не менее 5 лет с фокусом на backend. — Подтверждённый опыт работы с микросервисами, REST API и высоконагруженными системами. — Сильные навыки программирования на Java и знакомство с несколькими стеками. — Практический опыт использования AI coding agents в продакшене. Плюсы: — Опыт с Java 17+, Spring Boot и клиентскими технологиями (React, Kotlin, Swift). — Опыт работы с live-streaming, видео или масштабными потребительскими продуктами. Условия: — Конкурентная зарплата, бонусы по результатам и опционы. — Официальное трудоустройство на Кипре с поддержкой визы для сотрудника и супруга. — Комфортный офис в Лимассоле с обеспечением питания и перекусов. — Медицинская страховка для сотрудников и членов семьи. — Возможности профессионального роста и корпоративные семейные мероприятия. — Доступ к матчам Aris Limassol F.C. и эксклюзивным событиям. Формат работы: офис, Лимассол.

About ActAI There are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native. Our mission is to build proactive applications for anyone in the world, who are not used to complex prompting. We aim to bring intelligence to conversations, errands, organising and workflows, with minimal to no prompting. Our application focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. We believe products will greatly reduce hallucinations. Our objective is to organise anyone's life. Role As a Web Frontend Engineer, you will build the core web experiences, including Chat, Notes, Calendar, Docs and Sheets. You will own complex, highly interactive product surfaces from architecture through implementation, working closely with product, design, backend and AI engineers to make AI a native part of how users communicate, write, organise and work. What You'll Own Build major web experiences across Chat, Notes, Calendar, Docs, and Sheets. Develop complex interactions including real-time messaging, collaborative editing, rich-text editing, scheduling, tables, and spreadsheets. Build reusable frontend architecture and components that work consistently across ActAI applications. Integrate streaming AI responses, proactive actions, and model-driven experiences directly into product workflows. Own frontend performance, responsiveness, reliability and accessibility across browsers and devices. Work closely with product and design to take ideas from prototype to production quickly. What We're Looking For Strong experience building complex, production web applications using React, TypeScript and modern frontend technologies. Deep understanding of frontend architecture, state management, browser APIs, and performance. Experience building highly interactive products such as chat, collaboration, productivity, document editing, calendars, or workspaces. Experience with real-time systems, WebSockets, streaming APIs, or collaborative interfaces. Strong product and UI judgment with attention to interaction details. Able to independently own features from technical design through production. Outcomes Users can communicate, write, organise and collaborate seamlessly across Chat, Notes, Calendar, Docs and Sheets. Complex interactions such as group messaging, editing, scheduling and collaboration feel fast and reliable. AI capabilities are integrated naturally into product workflows rather than added as separate chatbot experiences. Frontend architecture remains fast, maintainable and reusable as ActAI expands into new applications and workflows. Tech Stack TypeScript React.js / Next.js HTML / CSS WebSockets / streaming APIs Node.js REST / GraphQL APIs How We Work The best products today in the world were built by small, world-class teams. We are a high talent density and hands-on team. We make decisions collectively and move at rapid speed, striking a balance between shipping high-quality work and learning. Joining our team requires the ability to bring structure, exercise judgment and execute independently. Our goal is to put in the hands of our users a truly magical product. Interview Process If there appears to be a fit, we'll reach out to schedule 3, but no more than 4 interviews. Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite. We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us and help bring practical AI benefits to billions of users globally.

Location: Cyprus; Poland; Georgia; Bulgaria; Armenia; Belarus We are an international broker. Our clients fund and withdraw through roughly 60 payment methods across Asia, Africa, LATAM and the Middle East. Payments is now a standalone function, and we are building the team around it. We are looking for a Senior Backend Engineer who will own our connector layer and everything downstream of it: building a canonical adapter layer so that providers plug in rather than get built one by one, moving payment methods to server-to-server and embedded flows, and making transaction status reliable and observable across the estate. You will also be the payments function's technical counterpart to the orchestration platform team: the behaviour we need from the platform is specified here, argued here and reviewed here. Your responsibilities will be: Building and owning the connector and adapter layer, so that adding or replacing a provider becomes configuration and a thin adapter rather than a new integration each time Migrating payment methods from redirect flows to server-to-server and embedded flows where the provider supports it, and measuring the result Owning everything downstream of the orchestration layer: reconciliation, transaction status handling on our side, method configuration and payment flows into the client portal Making transaction status reliable end to end, through active status polling, idempotent processing and reconciliation Building observability over transaction status and provider performance across the estate Specifying the behaviour we need from the orchestration platform: transaction state machine, idempotency, polling, routing and cascading rules. You design it, argue for it and review what comes back Supporting integration work for our card programme Extending the same integration set to acquired entities as configuration rather than a new build each time Requirements 5+ years in backend engineering, strong in TypeScript, Node.js, comfortable in relational databases Production experience with payment systems: authorisation, callbacks, refunds, reconciliation and retry behaviour Practical understanding of idempotency, asynchronous status handling, transaction state machines and designing for partial failure. This is the core of the role rather than a detail, and you will both build against it and specify it Experience integrating third-party APIs of uneven quality, including working directly with a provider's integration team to resolve what the documentation does not answer The ability to own a service rather than close tickets: architecture decisions, standards and root cause fixes English and Russian at a working communicative level Will be a significant plus: Exposure to .NET for work touching the client portal Experience with APM and local rails in Asia, Africa or LATAM rather than cards alone Experience with bank transfer rails, virtual accounts, QR-based methods, mobile money etc. Event-driven patterns in production: transactional outbox, idempotent consumers, sagas Background in brokerage, crypto payments, orchestration or another high-volume payments environment; on the provider side, at a PSP, gateway or payment company Active use of AI tooling in daily work Ability to work independently and make decisions without constant oversight Proactive mindset: willingness to propose improvements, fixes, new approaches What the first year looks like. In the first months you take over the integration codebase with a documented handover, strengthen transaction status handling, and ship your first server-to-server integration. By mid-year the adapter layer is in place, new providers go live against it rather than as one-off builds, and transaction status and provider performance are observable across the estate. In the second half the migration to server-to-server and embedded flows runs as a programme across methods, and the same integration set starts extending to our other entities. As the team grows, a Systems Analyst takes over instrumentation and verification while integration engineering stays with you. Recruitment process: HR interview, covering background, motivation and fit Technical interview on backend engineering and the payments domain Home task as a case from the real needs System design and problem-solving interview, covering integration design, failure handling and status modelling Final interview with senior stakeholder. Benefits Fixed monthly compensation of [based on experience] Fully remote work within GMT to GMT+4, with no relocation required Ownership of the connector layer and everything downstream, with direct influence on what the orchestration platform becomes Engineering problems that are not CRUD: asynchronous status across dozens of providers, partial failure, and local payment rails in emerging markets Scope that grows with the business: a card programme, new entities and new payment products Corporate AI tooling as part of the working process

Location: India; Colombia; Mexico; Romania; Hungary; Slovakia About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and HealthTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. About the Company A fast-growing, post-revenue AI startup is building an AI-powered SAP Consultant platform for enterprise customers. The company works with DAX 40 and Fortune 500 clients Job Type: Full-time Location: On-site in Berlin, Germany Job Summary We are seeking a high-caliber Fullstack Engineer to join a fast-moving team dedicated to building production-grade applications from the ground up. This is a role for a true builder—someone who thrives on end-to-end ownership, from translating broad business requirements into technical architecture to deploying and monitoring robust systems. If you are a self-directed engineer who balances speed with architectural integrity and enjoys the challenge of integrating AI and complex data pipelines, this is the place for you. Key Responsibilities Architect, build, and maintain complete web applications and backend services from concept through to production. Design and implement responsive frontend interfaces, complex user flows, and internal dashboards. Develop and manage APIs, background workers, scheduled jobs, and automated processing pipelines. Integrate third-party APIs, LLMs (agentic workflows, tool calling), and data-ingestion systems, including authorized scraping. Oversee cloud deployment, infrastructure monitoring, and CI/CD pipelines to ensure high system resilience. Perform load-testing and stress-testing to preemptively address bottlenecks and scaling issues. Maintain a focus on cost-conscious engineering, optimizing cloud, database, and AI token consumption. Requirements Proven track record of end-to-end ownership, having personally built and shipped complete applications. Advanced proficiency in JavaScript / TypeScript and modern frontend frameworks (React, Next.js). Strong backend experience with Python, Node.js, or similar technologies. Deep understanding of relational database design (PostgreSQL) and event-driven architectures (Redis, Queues). Experience with major cloud platforms (AWS, GCP, or Azure) and containerization (Docker). Ability to work independently in a fast-paced environment, identifying the simplest viable technical approach to solve complex problems. Excellent communication skills with the ability to explain technical tradeoffs and risks to non-technical stakeholders. Nice-to-Haves Experience building AI-powered products or sophisticated data platforms. Familiarity with vector databases (Elasticsearch/OpenSearch) and NoSQL environments. Background in developing SaaS applications, marketplaces, or high-volume search tools. Experience with browser automation and large-scale data extraction Benefits 💰 Competitive salary 🌎 Fully remote work environment 🚀 Career growth opportunities 📈 Long-term stability 🤝 Collaborative and supportive team culture