Вакансии

Задачи: — Разрабатывать и поддерживать сервисы и API на C# / .NET — Разрабатывать интерфейсы на React или Vue — в зависимости от проекта — Участвовать в проектировании архитектуры и выборе технических решений — Писать поддерживаемый, тестируемый и понятный код — Проводить code review и помогать команде расти — Работать с базами данных, очередями, кэшами, внешними API — Участвовать в CI/CD, деплое и мониторинге — Декомпозировать задачи, оценивать сроки и влиять на технические решения — Для Senior — брать техническое лидерство, менторить команду и влиять на развитие продукта Требования: — Опыт коммерческой разработки: от 3–4 лет для Middle+, от 5+ лет для Senior — Уверенный C# / .NET: .NET 6+, ASP.NET Core, Entity Framework Core — Опыт разработки REST API, понимание HTTP, JSON, аутентификации и авторизации — Уверенное владение одним из фреймворков: React или Vue — компонентный подход, хуки / composition API, state management — TypeScript — уверенное использование — Опыт работы с базами данных: PostgreSQL, MS SQL, MySQL или аналоги — Понимание SQL и умение писать запросы — Опыт с Docker, Git, Linux, CI/CD — Опыт написания тестов: xUnit/NUnit, Jest/Vitest и аналоги — Понимание принципов SOLID, паттернов проектирования и чистого кода — Технический английский — чтение документации, переписка, созвоны Будет плюсом: — Опыт коммерческой разработки и на React, и на Vue — Опыт миграции между фреймворками (Vue → React, React → Vue) — Fullstack-опыт: самостоятельная разработка от API до интерфейса — Микросервисная архитектура, gRPC, GraphQL — Kafka, RabbitMQ, Redis, NATS — Kubernetes, Helm, Terraform, Ansible — Cloud: AWS / Azure / GCP / Yandex Cloud — Опыт высоконагруженных систем — Опыт миграций, работы с легаси, монорепозиториями — Опыт в финтехе, e-commerce, SaaS, ML, DevTools — Вклад в open source — Опыт менторства, техлидства, архитектурных ревью — Английский B2+ — Опыт работы в продуктовых командах и/или стартапах

O'quv kurslari: — Texnologiyalar: Html, Css, Javascript, Typescript, Node Js, Express Js, React Js, Next Js, Nuxt Js, Sql, Mysql, Databases, Mongo Db, Ai Engineering — Kurslar tajribali mentorlar tarafidan olib boriladi. — Afzalliklar: Shinam va zamonaviy o'quv xonalari, real loyihalar bilan ishlash ko'nikmasi, tajribali mentorlar. — To'lov turi: Naqd pul, bank, plastik kartalari orqali — Murojaat qilish vaqti: 8:00 - 21:00 — Manzil: Toshkent shahar, Mirzo Ulug'bek tumani, Amir Temur hiyaboni bekati, Royal Education Batafsil ma'lumot olish uchun adminga yozing.

Location: Portugal; Albania; Georgia; Greece; Bulgaria; Kosovo; Bosnia and Herzegovina; Armenia; Italy; Spain; Malta; Romania; Ireland; South Africa; Croatia; Serbia; Montenegro Workplace: Remote ABOUT BLOCK LABS Block Labs is a premier technology studio operating at the bleeding edge of Web3, Artificial Intelligence, and iGaming. We don't just ship features; we engineer high-scale, production-grade platforms that power the next generation of digital products. We are a collective of senior engineers, product strategists, and builders who refuse to compromise on architecture. Whether we are designing autonomous multi-agent AI systems, building decentralized financial infrastructure, or architecting high-frequency iGaming platforms, our standard is excellence. We move fast, but we build for the long term. If you are looking to work alongside a team that values deep technical expertise, thoughtful system design, and product ownership, Block Labs is where you belong. THE ROLE We are building the frontend of a multi-brand consumer platform in React, Next.js and TypeScript: one codebase serving several brands, where launching a brand should be a matter of configuration, not a copy. You will be the most senior frontend engineer in the company and the person the platform’s UI depends on. We don’t hire into squads. We work as a small number of very strong individual contributors, each owning a product end to end and shipping with AI agents at a pace that used to take a team. You get an outcome and constraints, not a backlog: you find the decisions nobody has made, scope the work, build it, ship it and stay accountable for how it behaves in production. Product ideas often arrive as working prototypes built with AI tools by people outside engineering. Your job is to steer them into production, not to reject them or rebuild them from zero. KEY RESPONSIBILITIES: - Own the frontend end to end: architecture, conventions, quality bar and production behaviour of a multi-brand platform, with no spec handed to you. - Make adding a brand a configuration change: theming, brand-aware routing and content, and clean boundaries between shared and brand-specific code, all on a live product. - Build and own the design system and component library that engineers, designers and AI-assisted prototyping all draw from. - Turn product prototypes into production features fast, and build the workflow and tooling that make this repeatable. - Ship with AI coding agents every day as your main way of working, with the checks that keep quality high at agent speed, and raise the bar for how others use them. - Ship consumer-facing UI with real attention to detail, performance and accessibility. - Take UX and product concerns straight to the people who own the product, with alternatives and working examples, not just objections. ABOUT YOU: - 8+ years building production consumer-facing web applications, several of them at Staff or equivalent ownership. - You have taken a frontend from a rough brief to production and owned it, and you can say exactly what was yours, what was your team’s and what was your agents’. - AI coding agents are how you build, not a helper. You have your own setup and can say precisely where agents make you faster, where they produce plausible but wrong output, and how you catch it. - Deep expertise in React, Next.js and modern TypeScript, with clear opinions on rendering strategies and when each is the wrong choice. - Hands-on experience building or re-architecting multi-brand, multi-tenant or white-label frontends. - You have built or owned a design system and can discuss consistency versus flexibility, adoption and governance. - Strong UI and UX sensibility: you notice the small things and fix them without being asked. - Comfortable working with non-engineers who build with AI tools, and you design for their output to be usable. - Demonstrable Core Web Vitals work in production. - You thrive with autonomy and light process, and you write clearly. Strong command of written and verbal English. NICE TO HAVE - Experience with real-time, high-interaction consumer interfaces where latency and feel matter. - Background in fintech, crypto, real-time gaming and entertainment platforms, or other high-traffic consumer products. - Tooling, skills or integrations you built so agents work better inside a specific codebase or design system. - Working knowledge of CI/CD and cloud environments. WHAT THIS ROLE IS NOT - Not a management or lead role. Influence comes from what you ship. - Not a pure architecture role. You write production code every day. - Not for someone who wants a team, a backlog or a complete spec before starting. What kind of culture can I expect? Mature, mission-driven, and low-ego. We value clarity over noise, outcomes over theatrics, and pace without chaos. If you’re one of the smartest minds in your craft and want to build with other experts, you’ll feel at home here.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. We are reinventing credit cards entirely. We are working directly with card issuers to change how credit is used throughout the world, creating new types of cards that work for both their everyday lives and large purchases with extremely straightforward, flexible terms. We are looking for a Senior Staff Software Engineer to take on a critical role in defining and leading technical excellence. You’ll partner with other engineering leaders in revolutionizing the way the team works, shaping the culture of engineering across Cards. You will lead from the front on AI while holding the bar high on quality.  You’ll collaborate with engineering leaders, create and implement technical strategy across full-stack teams, and coordinate closely with stakeholders to build scalable, reliable, and high-performing solutions. You'll help shape best practices, guide architectural choices, and drive the successful delivery of critical initiatives. This role requires a high level of technical ability, leadership and project management skills, strong cross-functional communication, and a customer-first mindset. What You'll Do Lead the vision – Define the technical direction, long-term technical roadmap, and strategic initiatives in Cards. Be a role model - Lead from the front as an example in using AI to build fast, take initiative, and revolutionize how we work. Stay close to industry leaders in FinTech, learning from what is happening in the market to build our team. Work closely with stakeholders across all teams at Affirm to champion and implement technical excellence in conjunction with business results Create and influence a strong ownership culture across teams, with high accountability and investment for building for scale and efficiency Architect and contribute to decisions on the right platform, tools, and technologies to support consistency and reliability Mentor and lead – Guide a strong group of engineers by championing best practices, and helping them grow What We Look For 10+ years of experience working across the stack, driving architectural improvements in the backend. Bonus points using languages like React Native, Javascript, or Kotlin. Experience driving change across large engineering organizations Track record of successfully leading critical projects and leveraging multiple engineering teams across organizational boundaries for company-wide results Extensive experience developing and implementing technical strategy that drove prominent change in reliability and responsiveness You embody an ownership mindset and help influence a similar culture to those around you Collaborative partnership across engineering teams and cross-functional stakeholders Experience mentoring and growing engineers up to Staff level You have strong verbal and written communication skills that can help influence and share critical decisions with stakeholders This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Base Pay Grade - R Equity Grade - 15 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $265,000 - $325,000 USA base pay range (all other U.S. states) per year: $236,000 - $296,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Задачи: — разработка и интеграция блокчейн-технологий в действующую платформу с возможностью дальнейшего международного масштабирования. — проектирование блокчейн-архитектуры платформы. — разработка и внедрение смарт-контрактов. — обеспечение неизменности и проверяемости записей о закупочных процедурах. — реализация механизмов защиты конфиденциальных коммерческих предложений. — интеграция блокчейна с ASP.NET Core, PostgreSQL и React. — разработка механизмов подтверждения подлинности документов и действий участников. — оптимизация транзакционных расходов. — подготовка технической документации. Требования: — практический опыт разработки блокчейн-решений от 3 лет. — знание Ethereum, Polygon или Hyperledger Fabric. — опыт работы с Solidity и смарт-контрактами. — понимание криптографии и информационной безопасности. — опыт интеграции блокчейн-решений с корпоративными системами. — наличие реализованных проектов. Условия: — проектная занятость с возможностью долгосрочного сотрудничества. — на первом этапе: аудит существующей архитектуры E-SYSTEM, подготовка технического решения, оценка стоимости и сроков реализации. — участие в развитии перспективного IT-продукта. — возможность влиять на технические и архитектурные решения. — гибкий формат сотрудничества. — конкурентное вознаграждение по результатам собеседования. — премирование за реализацию ключевых этапов проекта. — перспектива долгосрочного партнёрства и профессионального роста. — возможность обсуждения опциона на долю в проекте. — компания заинтересована в техническом единомышленнике, готовом участвовать в развитии продукта и его масштабировании.

Задачи: — Развитие MVP финтех-платформы безопасных сделок (эскроу) для рынка мебели Казахстана: личные кабинеты заказчика и мастера, статусная машина сделки, интеграция платёжного провайдера (приём оплат и выплаты исполнителям), админ-панель и деплой. Требования: — Опыт коммерческой разработки веб-приложений от 1 года (Node.js + React или близкий стек). — Уверенная работа с базами данных (PostgreSQL/MySQL), знакомство с Prisma — плюс. — Опыт интеграции платёжных API приветствуется. — Самостоятельность и готовность работать в небольшой команде стартапа. Условия: — Условия сотрудничества (формат, занятость, вознаграждение) обсуждаются индивидуально с руководителем по итогам собеседования. — Участие в финтех-продукте на раннем этапе с прямым влиянием на архитектуру. — Компания — участник Astana Hub.

Location: Toronto; Ottawa; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! WHY THIS ROLE? The Cohere Dashboard is the control center for Cohere users and the starting point for many on their journey with Cohere. Here, they can access our models, manage API keys, manage teams, audit billing and explore our docs. In this role, you'll collaborate with internal partners to craft a delightful, intuitive, and unified experience across everything the Cohere Dashboard offers. Join our team of builders who are shaping the future of large language models! AS A FULL-STACK SOFTWARE ENGINEER ON THE COHERE DASHBOARD TEAM, YOU WILL: - Work with a small talented and enthusiastic team of software engineers - Contribute to delightful experiences for our user-facing products, meticulously crafting code for browsers and servers - Collaborate and grow with your engineering colleagues of all levels through direct pairing sessions, architectural designs, documentation and talks - Identify and remove roadblocks to enable your team to increase its engineering velocity - Build resilient systems that are mission-critical - Keep up with the cutting edge and adopt new technologies to improve performance and reliability YOU MAY BE A GOOD FIT IF: - You have experience shipping products with a large number of stakeholders - You’re comfortable with the front and back end of the stack, and have previously worked with Next.js, TypeScript, React, and Python - You have hands-on experience with complex SQL queries - You have excellent communication skills and believe that documentation is a great way to get feedback and discuss technical implementations and designs - You’re excited to add new technologies to your toolbox and use them where it makes sense - You have the ability to take complex needs and goals and develop easy to understand explanations for all audiences - You’re excited about AI and have the motivation to scale a company FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 We're looking for an Engineering Manager to lead a product engineering team at ClickUp. This is an open team placement role: you'll join a product team based on your strengths and our business priorities, rather than being hired into a single predefined product area. Across teams, the mandate is the same: build a strong team, ship useful product improvements, and take ownership of the quality and reliability of what you deliver.   Engineering Managers at ClickUp are hands-on. You'll lead from the front: reading and reviewing code daily, debugging production issues alongside your team, prototyping when it unblocks a decision, and shipping code yourself when the team needs it. Your technical credibility is how you earn trust, set the bar, and make good calls quickly.   You'll also own people management, delivery, and team execution. Working closely with product, design, and technical leads, you'll turn customer problems into clear priorities and achievable milestones. You'll develop engineers, make trade-offs explicit, and keep work moving without letting quality or maintainability become someone else's problem.   You'll also run an AI-native team. We structure work so AI agents can read it, route it, roll it up, and report on it. Progress and team health should be visible from real signals, with reporting available self-serve rather than dependent on status meetings. We want a manager who has used AI to remove busywork and improve how a team builds, and who can help engineers use it responsibly across planning, implementation, testing, and operations. RESPONSIBILITIES - Lead and develop a product engineering team. Own hiring, onboarding, mentorship, performance, and career growth, and build a team where expectations are clear and feedback is direct. - Own delivery from planning through release and follow-through. Break work into clear milestones, manage dependencies, surface risks early, and make realistic commitments. - Set priorities with product, design, and engineering leadership. Connect engineering work to customer needs and business outcomes, and make deliberate trade-offs between new features, reliability, and technical debt. - Lead from the front technically. Stay close to the codebase: review PRs, dig into production issues, write code and prototypes when it unblocks the team, and know your systems well enough to spot risk before it ships. - Drive architecture and implementation decisions with your technical leads and senior engineers. Bring real depth to design discussions, challenge assumptions with specifics, and make the call when the team is stuck. - Run an AI-native team. Use AI tools and agentic workflows to improve planning, development, testing, triage, and reporting, while maintaining clear ownership and human review where it matters. - Uphold a high engineering bar across design and code review, automated testing, performance, security, and maintainability. Build quality into delivery rather than treating it as a final checkpoint. - Own the operational health of your team's product area. Establish appropriate monitoring, safe rollout practices, incident response, and on-call ownership, and turn production issues into lasting improvements. - Collaborate across product teams and shared platform teams to resolve dependencies and deliver coherent customer experiences. - Keep priorities, progress, risks, and decisions visible. Use evidence to improve team execution and product outcomes, rather than optimizing for activity counts. REQUIREMENTS - 6+ years of professional software engineering experience building production software, including substantial time as a hands-on senior engineer, with 2+ years managing an engineering team. - You still code. You're comfortable working in a modern production codebase (TypeScript, Node.js, React, or similar), reviewing PRs with substance, and debugging across the stack. - A track record of delivering customer-facing SaaS products or services, with ownership extending beyond launch to reliability, maintenance, and customer outcomes. - Experience hiring, coaching, and developing engineers, including giving direct feedback, managing performance, and supporting career growth. - Deep technical judgment. You can lead architecture discussions, evaluate trade-offs from first-hand experience, and hold a high engineering bar because you know what good looks like in the code. - Experience partnering closely with product and design to define priorities, scope work, and deliver against clear milestones. - A demonstrated ability to use AI tools and agentic workflows to improve engineering work and reduce manual coordination, with attention to correctness, security, and review. - Comfort working through ambiguity, learning unfamiliar product areas, and making decisions with incomplete information. - Clear communication and effective cross-functional collaboration. You make ownership, trade-offs, risks, and next steps easy to understand. - Daily fluency with AI tools in your own workflow. PREFERRED QUALIFICATIONS - Recent, meaningful code contributions as a manager: features, fixes, tooling, or prototypes you shipped yourself. - Experience managing engineers across frontend and backend, or leading delivery across multiple technical disciplines. - Experience building and operating software at scale, including performance, reliability, safe migrations, and incident management. - Experience in a fast-moving product organization, balancing customer-facing delivery with platform improvements and technical debt. - Experience introducing AI-native or agent-driven workflows to an engineering team, with measurable improvements in quality or execution. - Experience building collaboration, productivity, or workflow software, or products used by both individual users and enterprise customers. - Experience leading distributed teams across time zones. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Задачи: — Разработка высококачественного программного обеспечения на базе JavaScript. — Участие во всех этапах жизненного цикла разработки ПО, включая анализ требований, проектирование, кодирование, тестирование и поддержку. — Работа с командой разработчиков и участие в обмене опытом и знаниями. — Работа с клиентами и бизнес-аналитиками для понимания требований и построения эффективных решений. — Оптимизация и улучшение существующего кода и архитектуры. Требования: — Опыт работы как JavaScript Разработчиком на уровне Middle и выше. — Опыт работы в блокчейне - будет преимуществом. — Глубокие знания JavaScript и его фреймворков, таких как React, Angular или Vue.js. — Опыт работы с серверными технологиями, такими как Node.js, Express или другими фреймворками. — Понимание принципов ООП, REST. — Опыт работы с системами контроля версий, такими как Git. — Опыт работы в Agile-командах и хорошее понимание Agile-процессов. — Понимание основных принципов разработки и проектирования ПО. Условия: — Fulltime-работа. — Возможен гибкий график. — Конкурентная ЗП от 4200 до 4800 USD, подробнее обговорим лично. — Работа в одной из топовых команд в своей сфере. — Возможность работы полностью на удаленке. — Курсы по повышению квалификации от компании.

Компания Lagrange Labs приглашает на должность Web3 Software Developer для работы в удалённом формате на полный рабочий день с зарплатой от 5000 до 7000 долларов США. В задачи входит создание сложных децентрализованных приложений (dApps), которые интегрируются с ZK-сопроцессорами Lagrange, а также разработка кода, обеспечивающего взаимодействие между смарт-контрактами и пользовательскими интерфейсами. Необходимо реализовывать логику работы с блокчейном как на клиентской, так и на серверной стороне, а также заниматься созданием инструментов для разработчиков, таких как SDK и CLI, упрощающих использование технологий компании. Участие предполагается во всех этапах разработки — от проектирования архитектуры до развертывания и мониторинга. Кандидат должен иметь не менее трёх лет опыта в программировании, уверенно владеть TypeScript и современными фреймворками, включая React или Next.js. Также требуется опыт работы с Web3-инструментами, такими как Hardhat или Foundry, и библиотеками Viem или Ethers, а также базовые знания Solidity для написания смарт-контрактов. Важны навыки быстрого понимания чужого кода и освоения новых библиотек и протоколов.

Location: Europe; United States Workplace: Remote ABOUT CANTINA Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future! ABOUT THE ROLE We’re working on real-time video generation for interactive characters, spanning realistic humans, stylized characters, and non-human identities. We want these characters to feel present: to speak, react, and express themselves through their face, gestures, and body language. This brings together a set of closely connected research problems. A character needs a consistent appearance, expressive and coherent motion, and a natural relationship between speech and movement. The model also needs to respond quickly and keep generating reliably as an interaction unfolds. Quality, controllability, and efficiency all matter. You’ll work across streaming generation, fine-tuning, distillation, inference optimization, and data. Some problems will call for a new training approach; others will come down to better examples, a more useful evaluation, or understanding a bottleneck in the implementation. Part of the job is figuring out which intervention is worth making. You’ll have substantial freedom to propose directions, investigate unfamiliar ideas, and shape what we work on next. We’re looking for someone who enjoys that freedom and can turn it into a steady sequence of useful experiments. WHAT YOU’LL WORK ON - Real-time and streaming generation. Develop models that support responsive interaction while maintaining visual quality and consistency over time. Investigate latency, continuity, and how model behavior changes during longer generation. - Character expression and motion. Explore how appearance, facial expression, gesture, and body movement come together into a coherent character. Improve the relationship between speech and motion across different identities and visual styles. - Fine-tuning and post-training. Adapt video models to new data, behaviors, and capabilities. Investigate training objectives and conditioning methods, and follow promising ideas through implementation and evaluation. - Distillation and inference optimization. Make generation faster and more efficient. Work across model-level approaches and runtime improvements, measuring their effects on quality, latency, and memory. - Data development. Spend meaningful time with the actual training examples. Identify missing coverage and recurring failure modes, improve curation and sampling, and develop data that helps models learn the behavior we want. - Evaluation. Build comparisons that make progress visible and failures understandable. Combine quantitative measurements with careful inspection of generated video and the experience of interacting with the model. - Research and collaboration. Read relevant work, reproduce and adapt useful ideas, and share early experiments, demos, and findings. Help the team decide what deserves more time and compute. WHAT YOU’LL BRING - Experience training or fine-tuning video or related generative models. - Ability to learn unfamiliar methods quickly and turn ideas into useful experiments. - Good experimental judgment, ownership, and clear communication. You’ll have freedom to explore new approaches. We expect fast iteration and early sharing of results. COMPENSATION When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.   Benefits for U.S.-based roles: - Competitive salary and generous company equity - Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina - 42 days of paid time off, including: - 15 PTO days - 10 sick days - 15 company holidays - 2 floating holidays - Generous parental leave & fertility support - 401(k) retirement savings plan - Lifestyle spending account – $500/month to use however you’d like - Complimentary lunch and snacks for in-office employees - One Medical membership, and more!

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As Director, Analytics Engineering, you'll lead a team of 8 and report to the VP of Data & Insights. You set direction across the data organization, stay close enough to the work to guide technical decisions credibly, and partner with Data Engineering, Data Science, IT, and business leaders. You will have three mandates: Build trusted, AI-ready self-service. Deliver a semantic model that answers business questions correctly, with the telemetry, evals, and model flexibility to prove it and keep costs in check. Set the strategy for how GitLab accesses data. Own the data models, BI tools, and AI access patterns (Claude, MCP servers, Slack agents) that put trusted data in everyone's hands. Build data applications the whole company relies on. Ship production-grade apps that combine trusted data, APIs, and AI to answer questions dashboards can't. What you'll do Build and own a trusted semantic model, with governed metrics and business definitions, that answers business questions consistently across every tool Build evals and ground-truth datasets that measure answer quality, and use them to drive improvements and catch regressions Instrument telemetry to see who uses the semantic model and AI tools, what they ask, and where they get stuck Build a model-selection harness so GitLab can route work across LLMs and stay flexible on cost and quality Own data modeling and curated datasets for self-service, with the ownership, data contracts, testing, and documentation that make them AI-ready Define the AI data access strategy: when to use BI, Claude, MCP servers, or Slack agents, with the governance and security to keep access trusted and reliable Own the enterprise BI and self-service tools strategy (e.g., Tableau, Omni), including evaluation, adoption, and cost Build self-service capabilities, such as Claude skills, documentation, and guided workflows, that help people find and use data on their own Build and own company-wide data applications, from Claude-built single-page apps to apps inside BI tools, that combine Snowflake data, API calls, AI-powered deep dives, and write-back to Postgres or Snowflake Set engineering standards for data apps (security, authentication, testing, deployment, and monitoring) so they're reliable at company scale Set a long-range roadmap tied to company strategy, and a lightweight operating model that balances urgent stakeholder needs with investment in reusable data products and tech-debt reduction Hire, coach, and retain a high-performing team of 8: build career paths, develop leaders, distribute ownership, and recognize great work Act as customer zero for GitLab and GitLab Duo in data workflows, sharing feedback with Product and Engineering What you'll bring 12+ years in analytics engineering, data engineering, or BI, including 5+ years leading teams and 2+ years managing managers or senior leads Deep expertise in data modeling and semantic layers (e.g., dbt Semantic Layer, Snowflake semantic views, LookML, Cube), and expert dbt, including testing and CI/CD across a multi-team project Hands-on experience building LLM-powered data access (text-to-SQL, agents, MCP servers), including evals and telemetry for answer quality, and advanced use of AI coding agents such as Claude Code Expert SQL and strong Snowflake experience; working knowledge of Python Strong data governance experience: data quality, lineage, certified datasets, and access controls (RBAC, row access and masking policies) Track record of leading cross-functional data initiatives from strategy through adoption and measurable business impact, including enterprise BI and self-service at scale Systems thinker who sees how models, pipelines, and architecture decisions connect, and designs for second-order effects Exceptional communicator who writes clear technical specs, sets a clear vision, makes trade-offs visible, and influences executives and peers across the company Pragmatic in ambiguity: makes sound decisions on emerging technology and ships the right next version rather than waiting for the ideal end state Able to use GitLab, thrive in an all-remote, asynchronous company, model GitLab's remote working competencies, and work in line with GitLab's values Nice to Have Experience with LLM routing or gateway tools and managing model costs Experience with Tableau, Omni, or a BI platform migration Experience with web app development (e.g., React, TypeScript) and Postgres Experience owning finance or revenue-critical data (e.g., ARR, consumption) where accuracy and auditability are non-negotiable About the Team Analytics Engineering makes GitLab's data trusted, easy to find, and ready for anyone to use, whether they ask a dashboard, Claude, or a Slack agent. We own the curated data models, the semantic layer, the self-service tools, and the data applications that let teams answer their own questions. AI is changing how people get to data. Questions that once went through an analyst now go straight to AI tools, so the answers are only as good as the data models and business definitions behind them. Our job is to make those answers correct, consistent, and measurable. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $139,200 — $285,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Brazil, Colombia Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client Our customer is a leading education technology company that develops digital platforms and software solutions to support learning and improve educational experiences. The organization combines technology, data, and innovation to deliver scalable solutions to users and institutions worldwide. What You’ll Do Design, develop, and maintain reliable, scalable data pipelines and ELT processes using SQL and dbt. Build, optimize, and maintain data transformations, ensuring data quality, consistency, and reliability. Manage and maintain infrastructure using Terraform and infrastructure-as-code practices. Develop and support web applications and services using Node.js, TypeScript, GraphQL, and React. Collaborate with data, product, and engineering teams to deliver integrated data and application solutions. Contribute to the monitoring, troubleshooting, and continuous improvement of data pipelines, applications, and infrastructure. Participate in code reviews, technical discussions, and engineering best practices using GitHub and related tools. Participate in the on-call rotation, serving as the primary on-call engineer for one week out of every four and as backup on-call engineer for an additional week out of every four. What You Bring Strong hands-on experience with data engineering and ELT processes, including advanced SQL and dbt for building and maintaining data transformations and pipelines. Practical experience with Terraform and infrastructure-as-code practices for managing and maintaining technical environments. Proven web application development experience with Node.js, TypeScript, GraphQL, and React, with the ability to contribute across backend and frontend components. Strong problem-solving and troubleshooting skills, with a focus on reliability, maintainability, and production support. Ability to collaborate effectively with distributed, cross-functional teams and work with colleagues operating in the US Mountain Time zone. Availability to participate in the on-call rotation, including one primary on-call week and one backup on-call week in every four-week cycle. Nice to have Experience with Snowflake and AWS cloud services. Familiarity with Apache Airflow for workflow orchestration, Looker for analytics and business intelligence, and Python for scripting or data engineering. Experience with GitHub-based development workflows, including version control, pull requests, and collaborative code reviews. English level Intermediate/Upper-Intermediate Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more Reasonable accommodations are available to enable individuals with disabilities to perform essential functions Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Our AI-Enabled Screening Process As an AI-first company, Exadel uses an AI recruiter to conduct a brief initial screening for this highly specialized position. This conversation helps us understand each applicant’s relevant experience and alignment with the role’s core requirements. The AI recruiter supports the process but does not make the final hiring decision. Candidates who successfully complete the initial screening will be connected directly with a member of our Talent team for the next step. If you require an accommodation or an alternative screening format, please let us know. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Задачи: — Разработка новых страниц и компонентов. — Поддержка и улучшение существующего функционала. — Создание адаптивных пользовательских интерфейсов. — Интеграция с backend через REST API. — Работа с формами, состоянием приложения и обработкой ошибок. — Использование и развитие компонентов дизайн-системы. — Написание unit- и component-тестов. — Исправление дефектов и участие в code review. — Взаимодействие с разработчиками, аналитиками, дизайнерами и тестировщиками. Требования: — Знание HTML5, CSS3, JavaScript и TypeScript. — Понимание React, React Hooks и основных возможностей Next.js. — Умение создавать адаптивные интерфейсы. — Базовый опыт работы с REST API и асинхронными запросами. — Понимание локального и глобального состояния приложения. — Навыки работы с Git. — Базовые знания Jest и React Testing Library. — Понимание принципов доступности интерфейсов. — Соблюдение принципов KISS, DRY, YAGNI и SRP. — Стремление писать понятный, типизированный и переиспользуемый код. — Готовность обучаться, принимать обратную связь и работать в команде. Условия: — Официальное трудоустройство. — Ежегодный трудовой отпуск + 2 оклада. — Небольшие плюшки по праздникам. — Профессиональный рост и развитие. — Участие в архитектурных решениях. — График работы: 5/2, с 08:00 до 17:30. — Место работы: г. Астана, EXPO C2.3.

Location: London, England, United Kingdom 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. About Fanatics Markets: Fanatics Markets is the real-money prediction and trading app where you can invest in moments you care about. Built on a secure platform, we let users predict real-world outcomes and trade on events they actually follow — from sports and entertainment to political elections and beyond. Our mission is to redefine how fans engage with the moments and markets that matter most. We're looking for the right people to help us build the future of prediction markets. Overview: This Staff Software Engineer role is an individual contributor position with technical leadership and significant ownership across our full stack: the web application customers use to interact with our product and the backend systems that power it. You'll combine hands-on engineering with responsibility for shaping architecture, setting technical direction, and enabling engineers across teams to deliver effectively. Whether your deepest expertise is in frontend or backend engineering, you'll apply that strength across the platform while making meaningful contributions on the other side of the stack. Joining a product at an exciting early stage, you'll help define its technical foundations, identify the highest-impact engineering challenges, and turn ambiguous problems into clear plans that balance customer needs, delivery speed, and long-term reliability. Your impact will extend beyond the systems you build. You'll lead complex initiatives spanning teams, mentor engineers, and establish practices that improve engineering quality and effectiveness. You'll also shape our approach to AI-assisted development while building systems that can handle millions of events daily. On the engineering side, we're pioneering the use of AI as a code collaborator. We need engineers who have gone beyond experimentation — who actively use Claude Code, Codex, GitHub Copilot, or similar tools to ship production code faster while maintaining exceptional quality standards, and who can help others adopt these workflows responsibly and effectively. Responsibilities: Set technical direction for major areas of the Markets platform, aligning architectural decisions with product strategy and guiding their implementation across teams Lead the design and delivery of complex, scalable systems and customer experiences, contributing hands-on in React, Next.js, and TypeScript or backend services in Go, while making meaningful contributions across the stack Identify and resolve ambiguous engineering problems spanning team or system boundaries, turning them into clear proposals, delivery plans, and measurable outcomes Own critical initiatives end-to-end, from discovery and technical specifications through implementation, instrumentation, deployment, monitoring, and iteration Partner with product, design, platform, and infrastructure teams to make informed tradeoffs across customer experience, accessibility, performance, security, reliability, and delivery speed Define architecture and integration patterns for frontend applications, backend APIs, and event-driven systems, with particular attention to correctness in markets, orders, and transactions Guide the design of experimentation capabilities, including feature flags and A/B tests, so teams can validate ideas quickly and safely Anticipate scaling constraints, reliability risks, and technical debt; build alignment on pragmatic improvements and drive them through to completion Raise engineering standards through design reviews, code reviews, testing strategies, observability, and safe deployment practices Mentor engineers and develop technical leaders, helping teams make sound decisions and solve problems independently Establish and evolve standards for AI-assisted development, including appropriate use cases, review expectations, security safeguards, and validation strategies Measure and improve engineering effectiveness, sharing tools and practices that increase delivery speed without compromising quality Lead through influence in an early-stage product environment, creating clarity, unblocking teams, and establishing ways of working that support growth Qualifications: Substantial experience building and operating highly scalable production systems, with demonstrated impact at Staff level or equivalent scope, including technical leadership across teams or major platform areas Deep expertise in either user-facing web applications built with JavaScript/TypeScript and React or backend services built with languages such as Go, Java, or Python, alongside the ability to reason across the full stack. If you're frontend-strong, you don't need to arrive fluent in Go, but you should be comfortable engaging with backend architecture and system tradeoffs A track record of setting technical direction and delivering complex initiatives from ambiguous requirements through to measurable production outcomes Strong architectural judgment, including the ability to assess tradeoffs, establish clear system boundaries, and evolve systems as product requirements and scale change Experience shaping React architecture, component-driven development, and modern state management using tools such as Next.js, TanStack Query, Tailwind, or Zustand; or deep backend experience with data modeling, distributed systems, and event-driven architecture using technologies such as Postgres and Kafka/PubSub Deep knowledge of your primary language's features, idioms, and best practices, with experience establishing standards adopted beyond your immediate team Strong understanding of performance, reliability, and security, including responsive design and accessibility on the frontend or scalability, observability, data integrity, and failure handling on the backend Experience defining API contracts and collaborating across product, platform, and infrastructure teams to deliver reliable systems Experience shaping CI/CD pipelines, testing strategies, and safe deployment practices across services or applications Demonstrated ability to lead through influence, build alignment across teams, and communicate technical decisions clearly to engineers and non-technical stakeholders A track record of mentoring engineers, strengthening technical decision-making, and increasing the effectiveness of others Demonstrated experience using AI tools such as Claude Code, Codex, Cursor, or Copilot to ship production code, with sound judgment about their limitations and appropriate validation Specific examples of improving development workflows, with evidence of their impact on delivery speed, quality, or engineering productivity A team-first approach, with the judgment to move between strategic technical work and hands-on delivery according to the needs of the product Ability to create clarity in a high-growth environment where priorities evolve and decisions must be made quickly Strong cross-functional collaboration skills, including experience aligning teams and navigating dependencies within large enterprise environments You don't need to tick every box — deep strength in one area, demonstrated technical leadership, and a willingness to learn go a long way. Preferred Qualifications: Previous experience shaping technical foundations in early-stage or high-growth startup environments Experience with real-money transaction systems, including financial correctness, auditability, and regulatory requirements Experience developing technical roadmaps or leading architectural changes adopted across multiple teams Background in building developer tools or improving engineering productivity at scale Experience establishing AI-assisted engineering practices across teams Contributions to open-source projects or the technical community BSc in Computer Science or a related field 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 connections 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. Ready to build the future of sports trading? If you possess some of these skills but not all of them, we still encourage you to apply! Please note that visa sponsorship is not available for this position. We are open to fully remote candidates based in the United Kingdom. Remote employees may also be eligible for a home office setup stipend. 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: Berlin Office; Bosnia; Norway; Estonia; Latvia; Slovenia; Netherlands; Hungary; Kosovo; Portugal; Poland; Serbia; Germany; Austria; Finland; Montenegro; Albania; Lithuania; Slovakia; Ireland; Bulgaria; Denmark; Belgium; Czech Republic; United Kingdom; Croatia; Spain; Greece Workplace: Remote The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us. 🎯 Your main goal will be to identify and reduce security risks across n8n's product and internal systems, using threat modelling, hands-on security expertise, and cross-functional collaboration to help teams design, build, and operate more secure systems. You'll join our growing security team at a pivotal stage, acting as a trusted security partner to teams across the business. You'll help us build a move from reactive security management to a proactive, scalable security practice. Here's what you'll be driving: THREAT MODELLING, RISK ASSESSMENT & SECURITY DESIGN - Conduct threat modelling and risk assessments across product features, AI agents, cloud infrastructure, corporate IT, internal applications, and data systems, identifying vulnerabilities and recommending practical mitigations. - Partner with Engineering, Cloud, IT, and Data teams to review security designs, define actionable security requirements, and influence the implementation of appropriate controls. - Help teams embed security into their development processes through secure coding guidance, design reviews, documentation, and security tooling that enables them to identify and address risks independently. VULNERABILITY MANAGEMENT & COORDINATED DISCLOSURE - Participate in the security triage rotation, assessing incoming vulnerability reports, validating findings, and prioritising remediation based on severity and business impact. - Collaborate with engineering teams to coordinate vulnerability remediation, verify fixes, and support secure patch and release processes. - Help manage our vulnerability disclosure and bug bounty programmes, including engagement with security researchers, coordinated disclosures, and GitHub Security Advisories. SECURITY OPERATIONS & INCIDENT READINESS - Help establish and improve logging, detection, and protective monitoring capabilities across our infrastructure, corporate systems, and internal applications. - Develop and improve incident response processes, runbooks, and exercises to strengthen our ability to detect, investigate, and respond to security incidents. - Work closely with system owners to identify security gaps, prioritise remediation, and verify that implemented controls effectively reduce risk. CUSTOMER TRUST & COMPLIANCE ENGINEERING - Support SOC 2 compliance by helping establish continuous control monitoring, automated evidence collection, and processes that make security assurance part of everyday operations. - Collaborate with Sales, Solutions Engineering, and Customer Success to respond to customer security assessments and build reusable resources that streamline future requests. - Partner with Legal, Finance, IT, and other stakeholders to assess security risks, improve security policies and controls, and strengthen trust with enterprise customers. We're hiring two Security Engineers with complementary strengths, so you don't need to be an expert in every security domain. REQUIREMENTS MUST-HAVES - 🔍 Threat Modelling & Risk Assessment: You have hands-on experience assessing real-world systems, identifying security risks, determining defensible severity levels, and recommending practical controls that teams can implement. - 🛠️ Technical Security Expertise: You can validate security findings, reproduce vulnerabilities, develop proof-of-concepts, and write code or automation when needed to demonstrate risks or improve security processes. - 🔐 Security Engineering Experience: You've worked hands-on in infrastructure, product, or application security within a product-focused organisation, with a strong understanding of how modern systems are designed and secured. - 🤝 Cross-functional Influence: You're comfortable acting as an internal security consultant, advising teams, challenging technical decisions constructively, and influencing stakeholders without direct authority. - 🎯 Risk Remediation & Ownership: You've helped secure systems you don't directly own, translating security findings into actionable requirements and working with responsible teams to ensure effective remediation. - 🤖 AI & LLM Fluency: You're comfortable using LLM-assisted tooling and understand its limitations, security implications, and potential failure modes. - ✍️ Clear Communication: You can explain complex security risks, document technical findings, and provide practical guidance that engineers and non-technical stakeholders can confidently act on. You also bring deep expertise in at least two of the following areas: - 💻 Application Security: You've developed security checks, engineering guardrails, tooling, or guidance that helps product teams build and ship secure software. - ☁️ Platform Security: You have experience securing a major cloud provider and Kubernetes environments, including areas such as sandboxing, multi-tenancy, or identity. - 🔑 Corporate Security: You've worked on identity and access management, endpoint security, employee access lifecycles, or data access controls across corporate environments. - 🚨 Security Monitoring: You've implemented logging, protective monitoring, or security detection capabilities that support effective investigation and incident response. - 📋 Security Assurance & Compliance: You've supported SOC 2 or ISO 27001 from an engineering perspective, including implementing technical controls or automating compliance evidence collection. NICE-TO-HAVES - 🐛 Vulnerability Disclosure: You've helped operate bug bounty or coordinated vulnerability disclosure programmes, including publishing security advisories such as GHSAs or CVEs. - 🧠 AI & Agent Security: You have experience assessing or securing LLM-powered applications and AI agents, including risks related to permissions, tool access, prompt injection, or sensitive data. - 🏢 Corporate IT Tooling: You're familiar with platforms such as Okta, Azure, or Drata and their role in securing corporate systems and supporting compliance. - 🌍 Open-source Ecosystems: You've worked with open-source or source-available products, contributed to security communities, or are already familiar with n8n. - 🎯 Penetration Testing: You have practical penetration testing experience and can independently identify, demonstrate, and help remediate security vulnerabilities. - 🌱 Early-stage Security Experience: You've been an early security hire or helped establish security practices in a startup or rapidly scaling organisation. Why join us? At n8n, you'll help shape security at a defining stage of our growth. We're building a security practice that goes beyond reacting to vulnerabilities, and you'll play a key role in how we identify risks, influence engineering decisions, and establish security practices that scale with the business. You'll work across a broad range of challenges, from securing AI-powered product features and our source-available automation platform to improving corporate security, strengthening incident readiness, and making compliance more automated. You'll have direct exposure to teams across the company, the opportunity to influence important technical decisions, and the autonomy to turn your expertise into measurable security improvements. Sound like a challenge you're excited to take on? Apply now — and help us build the future of secure automation. n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. *Country and/or State specific details provided in your employment agreement.

Требования: — 7+ лет в Digital Product Management или Web Production в быстрорастущих B2B SaaS-компаниях — Умение сопоставить путь покупателя с информационной архитектурой сайта — Техническая грамотность в веб-разработке: компоненты, Headless CMS, CI/CD, React — Приоритизация бэклога по данным из GA4 или Pendo О компании: Multiplier помогает компаниям нанимать, оформлять, управлять и платить сотрудникам в 150+ странах: единая платформа с EOR, AOR и Global Payroll. Инвесторы — Sequoia, DST и Tiger Global.

Задачи: — Развивать личный кабинет посетителя и ключевые этапы воронки — от первого контакта на лендинге до забронированного урока. — Отвечать за атрибуцию: выстраивать сквозные цепочки визитов, работать с UTM-метками и локализовать разрывы в трекинге конверсий (V2L / V2B). — Реализовывать server-side интеграции с рекламными кабинетами (Meta CAPI, TikTok Events API и аналогичные инструменты). — Писать и отлаживать бэкенд-код на Python и Node.js: разрабатывать эндпоинты, настраивать кеширование и разбираться с SSR. — Сопровождать A/B-тесты: от настройки раскатки и флагов до своевременного рефакторинга и чистки кода после завершения эксперимента. — Мониторить продакшн-инциденты через Sentry, оперативно находить причины и доводить решения до деплоя. — Контролировать и улучшать перформанс публичных страниц по метрикам Core Web Vitals. Требования: — Опыт коммерческой разработки на TypeScript и React — от 3 лет. — Уверенные навыки работы с Python и Node.js: умение самостоятельно решать задачи на бэкенде (проектирование API, кеширование, отладка SSR), не ограничиваясь простой BFF-прослойкой. — Практический опыт в продуктовой аналитике и трекинге: GTM, кастомные события, серверная отправка конверсий. — Понимание всего пути данных от клика до аналитического отчета и умение быстро находить точки их потери. — Продуктовый подход: привычка работать с гипотезами, влиять на метрики и видеть за кодом бизнес-цель. — Английский язык, достаточный для работы в международной среде. Будет плюсом: — Понимание требований GDPR и опыт внедрения consent-механик на публичных веб-ресурсах. — Опыт использования WordPress в режиме Headless. — Навык написания E2E-тестов на Playwright или Cypress. — Знание SQL и BigQuery на уровне самостоятельной проверки аналитических гипотез. — Опыт работы с CDN и кешированием на edge-уровне (CloudFront или аналоги). — Умение эффективно работать с Sentry и быстро локализовать продакшн-ошибки. Условия: — Полностью удалённый формат работы — работайте из любой точки мира. — Возможность влиять на будущее образования с помощью технологий искусственного интеллекта. — Безлимитный paid time off (безлимитные отпуска). — График работы 5/2, полная занятость. Стек технологий: TypeScript, React, Python, Next.js, Node.js, Express (с SSR на Pug), Sass / PostCSS, Vite, Gulp, MUI, собственная дизайн-система в Storybook, Vitest, Jest, Cypress и Playwright.