Разработка вакансии

OKX is looking for a Rust Developer to build high-performance on-chain trading infrastructure and optimize trading engine performance.

Figure is looking for a Senior Software Engineer Middleware Productivity to design and build core robot middleware frameworks, infrastructure, abstractions, and tooling.

Задачи: — Ведение custom-hand bring-up — Валидация — Интеграция — Анализ отказов — Диагностика

Задачи: — Автоматизация и выполнение системного уровня валидации для гуманоидных подсистем. Требования: — null Условия: — null

• 5+ лет в промышленной разработке на Python. • Экспертиза в Python 3.8+, Django 3+, FastAPI.

Android-разработчик на Kotlin. Практический опыт разработки и публикации собственных Android-приложений, включая полный цикл — от архитектуры и UI до тестирования и релиза в Google Play.

The Senior AI Professional will help design, develop, and optimize production-grade agentic AI solutions. Design, develop, and optimize production-grade agentic AI solutions.

Нужен сильный разработчик для создания MVP и дальнейшей поддержки ИИ-продукта на стыке соматических практик и голосовых технологий. Опыт работы с OpenAI Realtime API, аудиопотоками и голосовыми ИИ-системами.

Lead in high level technical concepts spanning technology and business to support Apigee, Apigee Hybrid in AKS and AWS. This role maintains the health and efficiency of all application infrastructure, provides professional hands-on implementation and technical advice to ensure the successful implementation of IT Infra.

Deliver Salesforce stories from a discovery-ready backlog through production, including tests and release notes. Build and maintain Flows, Lightning Web Components, and Apex functionality on a bi-weekly delivery cadence.

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. About the role We are looking for an AI Product & Transformation Lead to build the next generation of AI-enabled ways of working across Legal and Enterprise Risk. Please, note experience within Legal or Risk would be useful, but it is not essential. We are particularly interested in people who combine strong AI product, technical, operational or design instincts with enough domain empathy to build trusted solutions. This is a hands-on AI role for someone who enjoys turning emerging technology into products and capabilities that people genuinely use. You will lead discovery with lawyers, risk professionals, legal operations and business stakeholders, identify high-value opportunities, and turn them into practical AI solutions. You will not be working only at the level of strategy. You will build and ship AI products, agents, automations, workflows and playbooks; test what works with end users; learn quickly; and create the conditions for other people across Legal and Enterprise Risk to build as well. You will be embedded in the Legal and Enterprise Risk organisation and partner closely with Compliance, Technology, Data, Information Security and other enabling functions to scale AI capabilities safely across the business. What you will do Build and scale AI products: - Lead structured discovery with Legal and Enterprise Risk teams to identify high-value AI opportunities, recurring friction, manual work and decision bottlenecks. - Turn real user problems into clear use cases, lightweight prototypes and scalable solutions. - Build, configure or product-manage AI-enabled tools, agents, workflow automations, self-service experiences and knowledge systems. - Take solutions from idea to pilot to adoption, including testing, iteration, documentation and handover. - Balance speed and experimentation with appropriate controls for confidentiality, privilege, data protection, security and legal risk. Help others build products: - Make practical AI-building skills accessible to lawyers, risk professionals and Legal Operations colleagues through hands-on sessions, guides and coaching. - Establish an AI builder community or similar forum for sharing use cases, prompts, prototypes, lessons and reusable components across Legal and Enterprise Risk. Apply AI to improve how work gets done: - Map and redesign workflows across Legal and Enterprise Risk, using AI to improve speed, quality, consistency and capacity. - Create repeatable processes, templates, playbooks and operating rhythms that reduce unnecessary manual effort. - Design better ways to capture, organise, retrieve and reuse organisational knowledge through AI-enabled search, summarisation and assistance. - Identify opportunities to improve intake, triage, matter management, contract workflows, reporting and business self-service. - Establish simple measures of impact, such as time saved, cycle-time reduction, quality improvements, user satisfaction and adoption. Build alignment and momentum - Own a prioritised AI product and use-case pipeline based on user need, value, feasibility, adoption potential and risk. - Bring stakeholders together around clear problems and decisions rather than abstract technology discussions. - Communicate progress, learnings and trade-offs in a way that works for both technical and non-technical audiences. - Build strong relationships with Technology, Data, Information Security, Procurement and other partners needed to deliver safely at scale. - Help Legal and Enterprise Risk leadership make informed choices about AI tools, investment, capability, governance and ways of working. What we are looking for: - Experience building AI products, automation, digital capabilities or technology-enabled ways of working in a complex organisation. - A track record of taking ambiguous problems from discovery through to a practical outcome that people actually use. - Deep practical experience with generative AI, AI agents, workflow automation, knowledge management, no-code or low-code tools, or similar technologies. - Strong user-centred instincts: you listen carefully, understand how work is really done and design for adoption rather than theoretical capability. - Strong judgement about confidentiality, privilege, data protection, security, accuracy and responsible use of AI. - A coaching mindset and the ability to help others become more confident and capable builders. - Curiosity, pragmatism and a bias towards learning by doing. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Remote; Seattle, WA; New York, NY; San Francisco, CA Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Open to hiring remote across the US — we also have offices in New York, San Francisco, and Seattle. We are looking for a Prototype Researcher to join Runway Labs — our research and exploration team pushing the frontier of AI video and General World Models. You’ll imagine, design, and build experimental experiences that make emerging AI capabilities tangible and communicate a compelling vision for where the technology is heading. This role combines creative thinking, hands-on prototyping, and storytelling. You should be able to develop an original idea, build a working prototype, and shape it into a clear, memorable demonstration. Your work will help people understand new AI systems through experiences they can see, use, and engage with. Working closely with researchers, engineers, and designers, you’ll explore new interfaces and interaction paradigms for AI-generated video, world models, and agentic systems. The focus is on research explorations that express our vision, reveal new possibilities, and strengthen Runway’s position as a full-stack research organization. We’re looking for a motivated self-starter with strong creative judgment, technical fluency, and a portfolio that shows both what you can build and how well you can communicate an idea. WHAT YOU’LL DO - Develop original concepts that explore the possibilities of emerging AI systems, from interactive video and world models to agentic experiences. - Design and build working prototypes that turn research capabilities into engaging, understandable experiences. - Shape each project’s story: what it explores, why it matters, and what it suggests about the future. - Package explorations into polished demos, films, and interactive experiences that communicate our research and vision. - Collaborate with researchers and engineers to understand new capabilities and identify compelling ways to demonstrate them. - Move quickly through experimentation, using prototypes to test ideas and refine both the experience and its narrative. WHAT YOU’LL NEED - A portfolio of original projects that demonstrates creative thinking, design craft, technical execution, and strong storytelling. - The ability to take an idea from an early concept to a working prototype and a compelling presentation. - Hands-on experience building interactive experiences with code, with the judgment to choose the right tools for each experiment. - Strong visual and interaction design skills, with an eye for detail and an instinct for making complex ideas accessible. - Genuine curiosity about AI video, world models, agentic systems, and emerging generative media. - Comfort working in ambiguous research environments, defining your own direction, and learning new tools as the work evolves. - The ability to explain the purpose and potential of your work clearly, through writing, visuals, demos, or film. Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

• Сильная экспертиза в архитектуре, производительности и алгоритмах.

Разработка и реализация стратегии развития компании. Управление операционной деятельностью и финансовым результатом: выручка, прибыль, EBITDA, рентабельность.

Задачи: - Проектировать и разрабатывать новые компоненты системы - Покрывать свой код интеграционными и модульными тестами - Проводить перекрестный код-ревью - Готовность развиваться и осваивать вместе с командой новые технологии Требования: - Опыт коммерческой разработки на Java от 3-х лет, уверенное владение Java Core, Multi-threading - Опыт работы на высоконагруженных проектах от 2-3 лет - Умение писать тестируемый код - Знание теоретических основ и опыт разработки микросервисных систем - Опыт работы с брокерами сообщений (Kafka/RabbitMQ) - Понимание микросервисной архитектуры - Опыт работы с различными типами БД - Понимание CI/CD Условия: - Формат работы: можно удалённо; очно — Ижевск, Казань, Краснодар

-Создание средств малой автоматизации. -Поиск узких или рутинных мест в процессах и предложения по их оптимизации: автоматизация, шаблонизация, оптимизация.

-5+ years of experience in web analytics and real-time event tracking. -Strong proficiency in React, TypeScript, and WebAssembly.

Задачи: — Управление командой VIP Managers, распределение задач и контроль результатов. — Контроль ключевых KPI: FRT, CSAT, VIP Retention. — Анализ показателей команды, подготовка отчётности. — Работа со сложными VIP-кейсами и эскалациями. — Проведение 1:1, обучение, мотивация и развитие сотрудников. — Оптимизация процессов и повышение качества VIP-сервиса. — Участие в найме и масштабировании команды. Требования: — Опыт работы в VIP-направлении iGaming (Casino / Sportsbook). — Опыт управления командой от 4 человек. — Понимание VIP Retention, CRM, бонусных механик и программ лояльности. — Умение работать с KPI, аналитикой и отчётностью. — Опыт оценки эффективности и развития сотрудников. — Самостоятельность, проактивность и ориентация на результат. — Рассматриваются сильные VIP Supervisors / VIP QA с релевантным опытом и управленческими навыками. Условия: — Возможность влиять на развитие VIP-направления. — Участие в масштабировании команды. — Прямое взаимодействие с Head of VIP. — Перспектива роста до Head of VIP.