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Задачи: — Переводить бизнес-задачи в архитектурные и технические решения — Развивать AI-продукты, интеграции, новые каналы и источники данных — Определять затрагиваемые компоненты, API, контракты, модели данных и бизнес-семантику — Декомпозировать разработку на проверяемые задачи для AI coding agents — Проверять сгенерированный код, проводить code review, тестирование и выпуск изменений — Отвечать за стабильность, безопасность и конечный результат Требования: — Опыт промышленной разработки от 3 лет — Бэкграунд в аналитике данных, BI или системном анализе — Умение работать с бизнес-требованиями, метриками, моделями данных и интеграционными контрактами — Практический опыт промпт-инжиниринга: проектирование, тестирование и оптимизация промптов для LLM, построение многошаговых AI-флоу и достижение стабильного качества ответов — Практический опыт с LLM, AI-агентами, RAG, tool calling, structured outputs и MCP — Уверенное знание TypeScript или Python, API, SQL, Git, CI/CD и автоматизированного тестирования — Понимание принципов работы современных языковых моделей, ограничений LLM и способов повышения качества генерации — Системное мышление, самостоятельность и ответственность за продукт целиком Будет преимуществом: — Опыт создания и оптимизации сложных промптов для различных AI-сценариев (reasoning, extraction, generation, classification) — Опыт создания evals, guardrails и контроля качества AI-ответов — Опыт работы с React, Telegram-ботами, BI-платформами и семантическими слоями Условия: — Конкурентную заработную плату (обсуждается индивидуально) — Профессиональный рост и участие в масштабных проектах — Работу в крупном холдинге с активной цифровой трансформацией — Сильную ИТ-команду и поддержку руководства — Необходимость краткосрочного приезда в солнечный Ташкент для оформления

Задачи: — Переводить бизнес-задачи в архитектурные и технические решения — Развивать AI-продукты, интеграции, новые каналы и источники данных — Определять затрагиваемые компоненты, API, контракты, модели данных и бизнес-семантику — Декомпозировать разработку на проверяемые задачи для AI coding agents — Проверять сгенерированный код, проводить code review, тестирование и выпуск изменений — Отвечать за стабильность, безопасность и конечный результат Требования: — Опыт промышленной разработки от 3 лет — Бэкграунд в аналитике данных, BI или системном анализе — Умение работать с бизнес-требованиями, метриками, моделями данных и интеграционными контрактами — Практический опыт промпт-инжиниринга: проектирование, тестирование и оптимизация промптов для LLM, построение многошаговых AI-флоу и достижение стабильного качества ответов — Практический опыт с LLM, AI-агентами, RAG, tool calling, structured outputs и MCP — Уверенное знание TypeScript или Python, API, SQL, Git, CI/CD и автоматизированного тестирования — Понимание принципов работы современных языковых моделей, ограничений LLM и способов повышения качества генерации — Системное мышление, самостоятельность и ответственность за продукт целиком Будет преимуществом: — Опыт создания и оптимизации сложных промптов для различных AI-сценариев (reasoning, extraction, generation, classification) — Опыт создания evals, guardrails и контроля качества AI-ответов — Опыт работы с React, Telegram-ботами, BI-платформами и семантическими слоями Условия: — Конкурентную заработную плату (обсуждается индивидуально) — Профессиональный рост и участие в масштабных проектах — Работу в крупном холдинге с активной цифровой трансформацией — Сильную ИТ-команду и поддержку руководства — Необходимость краткосрочного приезда в солнечный Ташкент для оформления

Location: European Union Workplace: Remote ABOUT PLAYSON Playson builds premium casino games and platform solutions for operators worldwide. Our products reach millions of players across regulated markets, and we ship frequently - which means our certification and compliance evidence has to be as well-engineered as the games themselves. We are hiring a Software Developer, Compliance, to own that engineering: a pipeline that lets us ship faster and safer, and a defence of the platform and the games that holds up in front of a lab, an ISO assessor, and a future SOC 2 auditor. About the role You are a software developer sitting inside compliance. You will build and continuously evolve a secure compliance pipeline so we can ship games and platform changes faster and safer - and you will be the technical person who defends what we shipped when an auditor, a certification lab, or a regulator asks. The scope is not games alone. You will stand in front of game certification labs, and you will also defend the platform: ISO certification of our systems and the evidence work that leads into a future SOC 2 audit. In every case, the job is the same. You produce the proof. You walk the auditor through it. You answer the question that was asked, with the evidence that was requested, and you stop there. You will own the technical side of game certification. You take a game math package from the review channel to the lab, you produce the evidence the lab needs - build hashes, PAR sheets, configuration snapshots, version manifests - and you answer the lab's technical questions yourself, without a developer sitting next to you. When a certificate comes back, you are the person who confirms every deficiency is closed before the game is allowed past the pre-release gate. Between lab submissions, you treat the pipeline as a product. Manual evidence collection, one-off screenshots, and tribal knowledge are the things you replace. You automate controls, tighten the audit trail, and shorten the path from "ready to ship" to "ready to show an auditor" without weakening the bar. Faster and safer at the same time is the point of this role - not one at the expense of the other.   WHAT WE'RE LOOKING FOR - You are a developer first. 3+ years writing production code, comfortable reading someone else's codebase and forming your own opinion about what it does. You are not a documentation coordinator who learned some technical words - Strong Node.js and TypeScript. Our game math packages, engine integration, rules and bets migrations, test suites, and compliance automation are all JavaScript-side. You will read game math code and verify that what it does matches what we told the lab it does - and you will write the tooling that makes that check repeatable - You know what it takes to build certified products. You have worked for an iGaming game provider, a lottery, or another business where products require certification. You understand how that shapes development, testing, and releases, and why the code and supporting evidence need to stay aligned. - You build pipelines, not checklists. You have taken a manual, high-stakes process and turned it into something engineered: automated evidence, versioned artefacts, gates that fail closed - You can read data and write queries. SQL against a production analytics store, log investigation, understanding a metrics pipeline well enough to tell a real control failure from a broken dashboard - Composure in front of an auditor. In a lab session, an ISO assessment, or a future SOC 2 walkthrough, you answer the question that was asked with the evidence that was requested. You communicate with auditors and certification labs precisely and factually. You provide complete evidence for the question or control being assessed, avoid speculation, and escalate regulatory interpretations to the Head of Compliance - You know where your authority ends. When a question moves from technical fact to regulatory interpretation or commercial consequence, you route it to the Head of Compliance instead of improvising - You write clearly and permanently. Compliance evidence is read years later by people who were not in the room. Your documentation has to survive that - You are comfortable saying no. You will be the person telling a squad, under release pressure, that their change does not pass the gate. That conversation needs to be calm, specific, and final - Precise by temperament. You check the version number rather than remembering it. You are not bored by an audit trail     NICE TO HAVE - Direct dealings with a certification lab (GLI, BMM, eCOGRA, iTech Labs, or similar) or a gaming regulator - Hands-on evidence work for ISO 27001, SOC 2, or an equivalent information-security audit - Understanding of RNG, RTP mathematics, and how statistical certification evidence is produced - Familiarity with multi-jurisdiction licensing (UKGC, MGA, and regulated EU and LatAm markets) - Observability and alerting tooling - Datadog or equivalent, including building automation on top of it rather than just reading dashboards - Experience with change-management controls, audit trails, and segregation-of-duties models - Incident response experience, particularly where the incident had a regulatory or audit dimension     WHAT YOU CAN EXPECT ON THIS ROLE - A role with real authority: you hold gate sign-off, and a release does not go past you without it - Genuine engineering work - you own the compliance pipeline as a product, not a pile of checklists with a technical title - Direct exposure to certification labs, ISO assessors, and the path to SOC 2 - rare and portable experience - Close collaboration with math, QA, platform, and SRE across games and the platform - A compliance function that is being built up deliberately, with room to shape how it works WHAT WE OFFER - Competitive Salary - Quarterly Bonuses - Unlimited Paid Time Off - Unlimited Paid Sick Leave - Remote & Flexible Working - Private Medical Insurance - Financial Support for Life Events - Professional Development Budget - International Exposure - Regular Company Events *Benefits may vary depending on location and contractual agreement Join us today!   By submitting your application, you acknowledge that your personal data will be processed in accordance with our Privacy Policy https://playson.com/privacy.

Location: United Kingdom, London Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role overview We are seeking a Senior Localisation Quality Engineer, a highly skilled and innovative individual who brings together design-phase product thinking, software engineering expertise, localisation awareness, and technical problem solving. The role builds on the core responsibilities of a Senior Localisation QA Engineer, combining strong localization quality expertise with software engineering, automation, and earlier involvement in the product design and development lifecycle. This role is ideal for someone who has worked closely with design teams in Figma, has experience reviewing and validating designs before implementation, understands how localisation impacts product and UI design, and can build scalable technical solutions to improve quality across the product lifecycle. You will partner with design, engineering, product, and localisation teams to identify risks early, improve design quality and localisation readiness, and create tools, systems, and solutions that enable faster and smarter delivery. Rather than focusing only on post-implementation testing, this role emphasises early engagement in the design phase, including reviewing Figma files, prototypes, design systems, user flows, and content structures to ensure they are scalable, testable, and ready for localisation across languages and regions. You will also contribute as a hands-on engineer, building software, automation, integrations, and AI-driven solutions such as agents, assistants, or plugins that improve workflows, validation, and quality decision-making. The ideal candidate combines strong software development skills, experience working with design systems and Figma-based workflows, practical understanding of localisation and internationalisation, and hands-on interest in engineering solutions to product and quality challenges. Responsibilities Design Systems, Figma & Early Product Quality - Partner with designers, product managers, engineers, and the wider Localisation team to help identify localisation risks early in the design phase. - Support the Localisation team by reviewing Figma designs and providing technical and design expertise to improve localisation readiness before implementation. - Help the Localisation team identify and address design risks such as text expansion, truncation, layout issues, bidirectional languages, locale-aware components, and cross-market scalability. - .Build and improve tools, automation, and processes that enable Localisation QA to identify issues earlier and at scale, including automated design and content validation, screenshot capture, localisation readiness checks, and quality validation across languages and regions. - Work with the wider Localisation team to define best practices and guidance that help designers and engineers create products that are ready for localisation from the start. - Collaborate with design teams on design systems, UI patterns, and content structures to improve quality and reduce downstream issues before code is written. - Help define quality expectations, localisation considerations, and implementation guidance directly from design artefacts and product requirements. Localisation Quality & Testing - Perform hands-on Localisation QA testing across multiple languages, platforms, products, and regions, including linguistic, functional, visual, and internationalisation testing. - Lead and support complex localisation quality initiatives, while contributing directly to day-to-day testing when needed. - Develop and improve localisation test strategies covering linguistic, functional, visual, and internationalisation quality. - Investigate complex localisation and internationalisation issues and work with engineering, design, product, and localisation teams to identify root causes and appropriate solutions. - Help define localisation quality standards and ensure localisation considerations are integrated throughout the product development lifecycle, from design through implementation and release. Software Engineering & Technical Solutions - Design and develop software, internal tools, automation, and reusable services that improve product quality, design validation, and workflow efficiency. - Build scalable software solutions that support validation of product experiences across design, development, and release stages. - Contribute to codebases, frameworks, and technical infrastructure that improve quality signals, design consistency, and localisation support. - Partner with software engineers to improve feature readiness, system testability, and quality-by-design practices. - Integrate validation and quality workflows into modern development environments and CI/CD pipelines where appropriate. Automation, Tooling & Process Improvement - Identify opportunities to reduce manual work and improve localisation and product quality across design, engineering, and localisation workflows. - Design and build tools, automation, integrations, or other technical solutions that help teams review designs, validate content, detect issues, and improve workflows. - Choose the right technical approach for each problem, which may include traditional automation, scripts, plugins, APIs, AI/LLMs, or existing internal tools. - Develop solutions that help identify localisation and quality issues earlier in the product lifecycle and provide faster feedback to teams. - Prototype and test new approaches, measure their value, and develop successful solutions so they can be used by the wider Localisation team and potentially other teams. Cross-Functional Leadership - Act as a bridge across design, engineering, product, and localisation teams, helping align quality, scalability, and user experience goals. - Communicate clearly with both technical and non-technical stakeholders, translating complex issues into actionable recommendations. - Influence teams toward a shift-left, design-led quality approach. - Contribute to planning, design reviews, implementation discussions, and release readiness with a focus on preventing issues early. - Provide technical guidance and mentorship to members of the Localisation team, sharing engineering, automation, localisation, and quality best practices. - Promote a culture of innovation, technical excellence, and continuous improvement. Qualifications Education BS/BA in Computer Science, Engineering, Human-Computer Interaction, Design Technology, or a related field, or equivalent practical experience. Experience - 5+ years of experience in software engineering, design technology, quality engineering, localisation engineering, or related product development roles. - Strong hands-on experience in software development, with the ability to build tools, systems, integrations, or automation that solve real product challenges. - Experience working closely with design teams and Figma workflows, including reviewing designs, prototypes, component systems, and user journeys before implementation. - Experience validating or testing Figma designs for quality, scalability, localisation readiness, and implementation feasibility. - Practical understanding of localisation and internationalisation principles in digital products. - Experience with localisation quality or testing across multilingual products, platforms, or regions. - Strong programming skills in one or more languages such as Python, JavaScript, TypeScript, or Java. - Hands-on experience building or experimenting with AI agents, plugins, copilots, or intelligent workflow tools. - Experience with APIs, structured data, system integrations, and modern software development practices. - Familiarity with developer collaboration tools such as GitHub, JIRA, and Confluence. - Strong understanding of product development lifecycle, Agile methodologies, and cross-functional delivery models. Soft Skills Excellent written and verbal communication skills. Strong product thinking and problem-solving ability. Comfortable operating across design, engineering, product, and localisation domains. Self-motivated, adaptable, and effective in a fast-paced environment. Strong organisational and stakeholder management skills. Desired qualifications Experience with Figma design systems, component libraries, and design-to-development workflows. Experience creating or contributing to Figma plugins, design validation tools, or workflow extensions. Experience building AI agents, assistants, or plugins for design, engineering, content, or localisation use cases. Experience influencing product quality earlier in the lifecycle through design review and engineering collaboration. Familiarity with multilingual product development, translation workflows, or international launch readiness. Experience in video games, consumer technology, digital entertainment, or large-scale product environments. Fluency in one or more non-English languages is a plus. What We Offer The opportunity to shape next-generation quality, localisation, and design-to-development practices. A dynamic and inclusive workplace where technical excellence, collaboration, and global impact thrive. Competitive compensation, performance bonuses, and comprehensive benefits. Career growth opportunities in a forward-looking engineering environment focused on quality, localisation, automation, intelligent systems, and early product excellence. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Задачи: — Разрабатывать и рефакторить модули платформы (интерфейсы управления медиа-хранилищем) — руками агента под вашим управлением. — Проектировать поверхности взаимодействия человека и AI: чаты с потоковой передачей ответов (SSE), канвасы, дашборды агентов. — Создавать собственных AI-агентов и мульти-агентные системы, встроенные в продукт. — Разрабатывать и подключать инструменты на базе Model Context Protocol (MCP): понимать устройство MCP-серверов и проектировать клиентские решения «интерфейс — агент — инструменты». — Писать спецификации и правила для агентов, развивать реестр скиллов команды. — Ревьюить код — и человеческий, и агентский; держать планку качества. — Участвовать в планировании, оценке задач, релизах; работать в связке с аналитиками, бэкендом, дизайном и QA; менторить джунов — в том числе учить их работать с агентами. Требования: — Подтвержденный опыт разработки от 3х лет (по ТК РФ). — Глубокий практический опыт с React, Next.js, TypeScript. — Redux Toolkit (плюс — RTK Query), HTML5, CSS3, SASS/SCSS. — REST API, SSR, серверный Node.js. — Server-Sent Events (SSE): механика стриминга, обработка событий, реконнекты, graceful degradation. — Unit-тесты (Jest / React Testing Library), код-ревью, GitFlow. — SOLID, DRY, KISS — и понимание, когда агент их нарушает. — Ежедневная работа с AI-агентами в разработке: Claude Code, Codex, Cursor, GigaCode, Qwen Code, OpenCode, Roo Code, Windsurf — любой из них. — Умение управлять контекстом и сессиями агента: что положить в контекст, когда начать новую сессию, как декомпозировать задачу, чтобы агент её не «размазал». — Навык написания правил и промптов под проект: agents.md / CLAUDE.md / rules, переиспользуемые инструкции (скиллы). — Понимание MCP: что это, зачем, опыт подключения MCP-серверов к агенту. — Главное — умение ревьюить и доводить сгенерированный код: вайб-кодинг у нас заканчивается продакшеном, а не прототипом. Условия: — Официальное трудоустройство в Bell Integrator. — Конкурентная заработная плата (по итогам собеседования). — Аккредитованная ИТ-компания. — Формат работы: Москва офис (м. Кутузовская), после испытательного срока возможен гибрид. — Менторство. — Возможности карьерного роста и получения экспертизы в ведущих проектах страны. — Скидки на занятия фитнесом и собственное фитнес-приложение. — Скидки на занятия английским языком.

Задачи: — Определять, где могут помочь AI агенты, и создавать их соответственно. — Работать с руководителями отделов для оценки потребностей в AI. — Помогать подключать агентов к соответствующим сторонним и внутренним инструментам. — Измерять результаты и удалять агентов, которые не приносят пользы. — Тестировать новые инструменты и модели по мере их появления и внедрять эффективные. — Консультировать других по возможностям AI для повышения их эффективности. Требования: — Опыт создания агентов, которые работают самостоятельно и выполняют значимую работу. — Хорошее знание Grok, Claude, OpenAI и open source. — Уверенное владение Go, TypeScript, GraphQL, Postgres, GCP. — Способность ясно писать на английском языке. Условия: — Зарплата от $150,000 до $250,000 в год. — Подписной бонус $20,000. — 4 недели отпуска плюс праздничные дни по стране. — Полностью удалённая работа.

Задачи: — Разработка масштабируемой цифровой медиаплатформы, предоставляющей разнообразный контент для глобальной аудитории. — Участие в инициативе по редизайну фронтенда. Требования: — Опыт профессиональной разработки ПО не менее 4.5 лет с сильным недавним опытом в Go и Angular/TypeScript. — Сильные навыки full-stack разработки, способность работать как с бэкендом, так и с фронтендом. — Опыт работы с Angular, TypeScript, HTML, CSS, RxJS, NgRx. — Практический опыт работы с Google Cloud Platform (GCP). — Понимание DevOps. — Опыт работы с MongoDB, PostgreSQL, SQL, Redis. — Практический опыт с Docker, Terraform, Ansible. — Опыт работы с WebSockets и технологиями обмена сообщениями, такими как Kafka или RabbitMQ. — Уровень английского языка от Upper-Intermediate и выше. Условия: — Работа только из стран ЕС. — Временная зона CET. — Требуется знание английского языка от B2.

Location: New York, New York; San Francisco Bay Area, California Workplace: remote We build production AI systems for enterprises. Financial services, healthcare companies, PE-backed operators. We are a Select-tier partner in Anthropic's Claude Partner Network, among the first integrators selected. Every one of those systems has two stories. What we built, and why it changed the economics of the business that bought it. Most technical marketing tells the first and bores the buyer. We want one person who can tell both, and build things themselves. Not a marketer who uses AI tools. Not an engineer who writes copy. Someone who moves between the two without noticing the border. What you will do: Tell both halves of the story. Sit close to the teams shipping these systems, understand what was actually hard, and translate it into video, writing, and demos that travel. Then go a level up: what the system changed for the operator, what it cost, what it replaced, why the CFO signed. Shape how Provectus is positioned. Not just the case studies but the argument above them. What we stand for, which problems we claim, where we say no. You will have a real hand in that, not a style guide to follow. Build the tools that make the marketing work. A scraper that watches what our market is saying. An agent that drafts case studies from delivery artifacts. A microsite for a launch. A dashboard showing which stories moved pipeline. You write the code. You do not file a ticket and wait. Own channels outright. Write, publish, and measure across LinkedIn, YouTube, X, and whatever channel matters six months from now that does not matter today. Run experiments and kill the ones that lose. Real budget, real autonomy, in exchange for showing your numbers. What we are looking for: You have shipped things people used. A side project, a channel with an audience, a tool, a launch. We care more about what you made than where you worked. You write well, and you have a point of view. You can hold attention for 90 seconds on video and 900 words on a page. You are curious about how companies make money. You can read a business case and find the part that actually matters. You can sit with a CFO or a PE operator and not reach for features. You code. Python or TypeScript, comfortably. You use Claude Code, Cursor, or equivalent every day and you have opinions about them. You have built something agentic that does actual work. You are interested in AI for real. You read the papers, or the people who read the papers, and you have changed your mind about something in the last six months. You are anywhere from your first job to your tenth year. Three levels, one bar: what have you made. If you are early, show us an internship where the bar was high and a portfolio with range. If you are senior, tell us what you built with your own hands in the last 90 days. You are in New York or San Francisco, or you will be. What we offer: Base salary of $80,000 to $180,000 depending on level and location, plus a performance bonus. Direct access to the people building the systems and the executives selling them. Small team, no layers between you and the work. A budget for tools, models, and experiments, with no approval chain under a threshold. Promotion tied to output, not tenure. 401(k) profit sharing plan after probation period Unlimited PTO policy Medical, Visual and Dental insurance How to apply: No cover letter. Send three links: something you wrote, something you built, and something you posted that got a reaction. One paragraph on why the third one worked. Then, two sentences on a company whose positioning you think is wrong and what you would change. Base salary depends on level and location, plus a performance bonus.

Location: New York, New York; San Francisco Bay Area, California Workplace: remote We build production AI systems for enterprises. Financial services, healthcare companies, PE-backed operators. We are a Select-tier partner in Anthropic's Claude Partner Network, among the first integrators selected. Every one of those systems has two stories. What we built, and why it changed the economics of the business that bought it. Most technical marketing tells the first and bores the buyer. We want one person who can tell both, and build things themselves. Not a marketer who uses AI tools. Not an engineer who writes copy. Someone who moves between the two without noticing the border. What you will do: Tell both halves of the story. Sit close to the teams shipping these systems, understand what was actually hard, and translate it into video, writing, and demos that travel. Then go a level up: what the system changed for the operator, what it cost, what it replaced, why the CFO signed. Shape how Provectus is positioned. Not just the case studies but the argument above them. What we stand for, which problems we claim, where we say no. You will have a real hand in that, not a style guide to follow. Build the tools that make the marketing work. A scraper that watches what our market is saying. An agent that drafts case studies from delivery artifacts. A microsite for a launch. A dashboard showing which stories moved pipeline. You write the code. You do not file a ticket and wait. Own channels outright. Write, publish, and measure across LinkedIn, YouTube, X, and whatever channel matters six months from now that does not matter today. Run experiments and kill the ones that lose. Real budget, real autonomy, in exchange for showing your numbers. What we are looking for: You have shipped things people used. A side project, a channel with an audience, a tool, a launch. We care more about what you made than where you worked. You write well, and you have a point of view. You can hold attention for 90 seconds on video and 900 words on a page. You are curious about how companies make money. You can read a business case and find the part that actually matters. You can sit with a CFO or a PE operator and not reach for features. You code. Python or TypeScript, comfortably. You use Claude Code, Cursor, or equivalent every day and you have opinions about them. You have built something agentic that does actual work. You are interested in AI for real. You read the papers, or the people who read the papers, and you have changed your mind about something in the last six months. You are anywhere from your first job to your tenth year. Three levels, one bar: what have you made. If you are early, show us an internship where the bar was high and a portfolio with range. If you are senior, tell us what you built with your own hands in the last 90 days. You are in New York or San Francisco, or you will be. What we offer: Base salary of $80,000 to $180,000 depending on level and location, plus a performance bonus. Direct access to the people building the systems and the executives selling them. Small team, no layers between you and the work. A budget for tools, models, and experiments, with no approval chain under a threshold. Promotion tied to output, not tenure. 401(k) profit sharing plan after probation period Unlimited PTO policy Medical, Visual and Dental insurance How to apply: No cover letter. Send three links: something you wrote, something you built, and something you posted that got a reaction. One paragraph on why the third one worked. Then, two sentences on a company whose positioning you think is wrong and what you would change. Base salary depends on level and location, plus a performance bonus.

Location: Anywhere in France, Belgium, Spain HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐ THE ENGINEERING TEAM ⭐ In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves! Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of interactions. We move fast, with a lot of ownership, and are proud to tackle big problems! Our process is very simple: those who make product decisions are the same ones who build them. We are also the stewards of our members' most sensitive data, and building privacy in by design is core engineering work for us, not an afterthought. Want to know more? Read this article https://medium.com/alan/a-new-iteration-of-our-engineering-career-path-at-alan-f46f7b229b2d on our Engineering career path. 🛠️ THE STACK Python/Flask, Typescript, React, React Native on the coding side. AWS, GCP, Kubernetes, PostgreSQL, Redis, Terraform/Terramate, Datadog, Cloudflare, GitHub Actions on the platform side, all in a monorepo. We deploy daily and believe in distributed ownership - you build it, you own it. 🤖 THE DATA FOUNDATIONS CREW - WITHIN THE TECH FOUNDATIONS AREA 🎯 MISSION - Tech Foundations - enables product crews and creates the environment to thrive, combining world-class infrastructure, intuitive developer experience, exquisite operational excellence, and built-in security to make shipping exceptional products effortless. - Data Foundations - is one of its crews. Its mission: be the enabling and platform team for data lifecycle and privacy engineering across Alan: retention, deletion, anonymization, and pseudonymization, by design. It builds and runs the GDPR Orchestrator (the platform's current embodiment) and equips each area to own its own data rules on top of it. The team also handles data shared with third parties and partners, with Legal and Security on requirements, including authority-facing work (e.g. CNIL). 🔭 SCOPE 1. Own and evolve the privacy platform (build & run): its core engine, its safety mechanisms (preview/dry-run, audit trail), and its operational health (deploys, on-call, observability). You design the contract areas build on and keep it reliable as adoption grows. 2. Build the paved road (enable, teach to fish): docs, templates, and self-serve tooling so any of our 15+ areas can plug into the platform and manage its own data rules and dependencies. You coach areas through pairing and syncs; you build the capability rather than doing the work for them. 3. Coordinate across areas (the cross-area bridge): align legal, security, data, and the data-producing areas on requirements, surface cross-area data dependencies, and resolve design trade-offs between them. You own the coordination; each area stays accountable for its own data and rules. 4. Push the foundations forward: drive open platform design questions to a conclusion and grow the platform's capabilities as Alan's data, products, and footprint expand. 👀 FOCUS FOR 2026 - Own the platform: become the long-term owner of the GDPR Orchestrator and shape the roadmap for how Alan manages data lifecycle at scale. - Raise the bar on the platform: invest in its safety, observability, and developer experience so areas build on it with confidence. - Lay the paved road: ship the docs, templates, and tooling that let areas self-serve, then move ownership of data rules to the areas that produce the data. - Scale the surface: grow the platform's reach across data stores and third-party systems as Alan expands into new countries. ⭐ IS IT YOU WE'RE LOOKING FOR? EXPERIENCE WE VALUE - Senior-level experience (typically 8+ years) in backend or platform software engineering, or equivalent, with deep production ownership (API and contract design, data modeling, running what you ship). - You've built and operated platforms, libraries, or services that other engineers depend on, and you care about the contract you expose to them. - You're comfortable operating across many teams and influencing without authoritarianism: getting legal, security, data, and product crews who don't report to you aligned on a plan, and driving it to completion. - You bring pragmatism under constraint: you ship sound, safe solutions and improve them over time, rather than waiting for perfect. - Strong plus: prior privacy, GDPR, or data-governance exposure, and experience working in an enabling or platform-team operating model. - Explicitly not required: deep legal expertise. Legal and security partner with this role; they don't get replaced by it. MINDSET WE VALUE - You treat platform engineering as product work: engineers and members are your customers, and doing the right thing with their data should feel effortless. - You're hands-on: writing code is the bulk of the job (Python, TypeScript). You ship what you write to production yourself, then operate it: rollouts, alerting, on-call, incident response. - You design and communicate: you're as comfortable writing a framing doc, drawing a dependency map, and aligning several areas on a design decision as you are writing the code. - You're an enabler: you measure your impact by how fast areas run their own data rules without ever consulting you. The harder you've worked, the less they have to engage you. - You build reusable patterns: guardrails, libraries, and safe-by-default abstractions that keep data handling correct and safe by design at scale. - You're fluent in English (French is not required). For this opportunity, we are aiming to hire above the E level range https://medium.com/alan/a-new-iteration-of-our-engineering-career-path-at-alan-f46f7b229b2d. But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus. 🌍 HOW WE WORK - Location: You must be legally eligible to work in France, Belgium, or Spain. - Remote work: We offer remote work flexibility, but we value in-person collaboration. 🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work.

О компании Blend4Web — технологический флагман в веб-графике, создающий платформу для фотореалистичной 3D-графики в браузере без плагинов и задержек. Компания работает над цифровой экосистемой для индустрии моды, включая проектирование выкроек, виртуальную примерку на параметрических манекенах, автоматизацию производственной документации и аналитические инструменты для ритейла. В основе технологии — физически корректная симуляция ткани, динамика драпировок и взаимодействие с телом. Кого мы ищем? - Умение писать чистый код на TypeScript, Javascript, HTML, CSS; - Математическое образование; - Опыт с 3D и желание развиваться в 3D-технологиях; Будет плюсом: - Опыт работы с WebGL, OpenGL, WebGPU, Vulkan; - Опыт написания шейдеров на GLSL, WGSL; - Опыт работы с библиотеками tree.js, babylon.js, blend4web; - Владение фреймворками Vue, Angular, React; - Опыт backend-разработки. Что тебя ждёт: - Разработка удобных интерфейсов для редакторов; - Применение стандартов WebComponents для решения задач; - Системная отладка, рефакторинг и документация решений для устойчивой архитектуры; - Возможности для профессионального роста, изучение современных методов симуляции, участие в технических дискуссиях и обмен опытом внутри команды. Твой код станет частью экосистемы, меняющей швейную промышленность от цифровой выкройки до идеальной посадки одежды.

Задачи: — Разработка нового функционала продукта SOAR на базе общей платформы, с использованием предоставляемых ею инструментов — Участие в обсуждении вариантов реализации фичей — Помощь в поддержке работы кластера разработки команды — Взаимодействие с платформенными командами по части обсуждения багов и деталей реализации — Ревью кода других разработчиков — Оценка своих задач и участие в планировании Требования: — Уверенное владение технологиями: gRPC, TypeScript, PostgreSQL, graphql, NATS — Умение анализировать, декомпозировать, оценивать задачи — Исследовать проблемы, вырабатывать решения — Понимать и уметь применять подходы к проектированию — Писать Unit, E2E тесты — Проводить ревью кода Будет плюсом: — Опыт работы с Node.js, Docker, Kubernetes, Deno Условия: — Удаленный формат работы — Достойную оплату труда, соответствующую профессиональному уровню и компетенциям — Статус аккредитованной ИТ-компании со всеми преимуществами — ДМС со стоматологией и госпитализацией по всей России, страхование от несчастного случая, полис ВЗР для поездок за границу, ветеринарная поддержка — 100% компенсацию больничного, +10 дополнительных дней в году на отгул по болезни — Регулярный обмен обратной связью по системе полугодового Performance Review — Возможности для обучения и профессионального развития: корпоративную библиотеку, менторство, внутренние митапы по обмену опытом, практику публичных выступлений, возможность участвовать в создании контента для профессиональных сообществ — Программу корпоративных скидок и привилегий — Развитую корпоративную культуру: открытую коммуникацию, онлайн и офлайн встречи, клубы по интересам, спортивные активности и поддержку инициатив сотрудников

Задачи: — Разработка и улучшение продукта вместе с командой — Реализация сложной бизнес-логики и визуальных компонентов, включая работу с Canvas — Повышение производительности и качества продукта, написание оптимального по размеру и скорости кода Требования: — Отличное знание TypeScript или JavaScript — Развитое алгоритмическое мышление — Опыт разработки на React или Node.js Будет плюсом: — Опыт написания модульных или интеграционных тестов — Опыт работы с библиотеками визуализации: PixiJS, Three.js, Konva, Paper.js, p5.js — Опыт работы с Canvas — Опыт разработки высоконагруженных сервисов Условия: — Работа в сильной команде с возможностью профессионального роста — Сложные и интересные задачи — Возможность влиять на процесс и результат — Премии каждые полгода для успешно прошедших ревью — Гибкий график работы — Расширенная программа ДМС, оплата 80% стоимости ДМС для супругов и детей

Задачи: — Создание пользовательских интерфейсов на функциональных компонентах React — Рефакторинг компонентов — Code review — Покрытие кода тестами — Согласование и разработка API контрактов с backend разработчиками Требования: — Опыт промышленной разработки JavaScript, React, Node.js, Mobx, Jest, React Testing Library — Высшее техническое образование — Преимуществом будет знание Redux, TypeScript Условия: — гибридный график работы — НС и ДМС после испытательного срока — квартальные премии — в сопроводительном письме просьба писать техстек и зп ожидания

Задача: — реализовать готовый двухъязычный landing по Figma и довести его до production. Макеты готовы: — desktop / tablet / mobile; — RU / EN; — структура, тексты и interaction logic определены. Стек: Astro + TypeScript + Tailwind CSS. Что важно: — качественный Figma → code; — адаптивная вёрстка; — чистый и понятный код; — SEO / performance; — cross-browser; — аккуратная работа с Git. Ищу соло-разработчика, не студию / агентство. В отклике сразу пришлите: — 2–3 лучших живых проекта; — что именно делали в них лично; — основной стек; — оценку стоимости и срока.

Location: Toronto; Canada; United States; New York; Vancouver; 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? This role is for people who love building tools for their coworkers. The Internal Applications team creates tools that help us create better models. In this role you will collaborate with internal stakeholders, which include annotators, ML researchers, product managers and more. Join our team of builders who create tooling that will pave the way for the next generation of large language models! AS A FULL-STACK SOFTWARE ENGINEER ON THE INTERNAL APPLICATIONS 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 (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion ABOUT THE EXPERIENCE DESIGN TEAM Experience Design at OnePay shapes how millions of people interact with their money. The product touches saving, spending, borrowing, and growing wealth – often for people the traditional financial system has underserved. That weight raises the bar on what we ship and how we ship it. We’re a small, senior team with roots at Apple, Meta, Ford, Airbnb, and leading fintechs – low ego, high craft, and genuinely collaborative. AI is a baseline part of how we work, not a future we’re talking about. THE ROLE We’re looking for a Design Engineer to help define what modern design-to-code looks like at OnePay. This is a first-class engineering role with design fluency. You’ll generate production-ready components directly, use AI coding tools aggressively, and help push the team past traditional spec-based handoff. You’re not executing the current model – you’re shaping what comes next. WHAT WE’RE LOOKING FOR - You ship in code. Figma is part of how you communicate, but you’re most fluent in the codebase. You generate production-ready work, not just specs. - You’re AI-native at production velocity. Cursor, Claude Code, v0, similar tools – they’re already how you move. You ship more in a day than most teams do in a week. - You’re rethinking handoff. The traditional model is breaking down, and you’re excited to define what replaces it. - You translate fluently. You speak both languages. Designers trust you, engineers trust you, and you make the gap between them disappear. - You sweat the implementation. A two-pixel drift in production matters to you. So does a token that doesn’t quite map. You catch what others miss. - You operate in motion. Process is fluid here, and you help shape it as you ship. TOOLS WE USE We use Node and TypeScript on the server, leveraging the NestJS framework within a microservice-oriented architecture running on Kubernetes and AWS. On the client side, we build and ship product features for iOS, Android, and web platforms using React Native. We also embrace AI-assisted development, so engineers have their choice of Claude Code or Cursor to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly. YOU BRING - Fluency in both Figma and code (React Native or React). - Active use of AI coding tools (Cursor, Claude Code, v0, or similar) at production velocity. - Fluency in design tokens, component architecture, and how design systems map to code. - Experience shipping on cross-functional teams where design and engineering overlap. - Strong communication across both disciplines. - A track record of operating in fluid environments and helping define how teams work. WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Задачи: — Разрабатывать и поддерживать автотесты для ядра и бизнес-модулей платформы In.Plan — Автоматизировать backend, UI и интеграционные тесты — Интегрировать и поддерживать запуск автотестов в CI/CD — Участвовать в развитии и совершенствовании процессов TestOps Требования: — От 3 лет опыта в автоматизации тестирования — Уверенное владение Java (также рассматривается Python / TypeScript) — Опыт разработки и поддержки фреймворков автоматизации — Практический опыт работы в продуктовых командах — Опыт с GitLab CI/CD, настройка и автоматизация запуска тестов в пайплайнах — Знание REST Assured, Retrofit, Postman / Insomnia — Опыт работы с Selenium, Selenide, Playwright — Опыт с JUnit / TestNG / Pytest — Понимание и применение Page Object / Page Factory — Работа с Allure и системами тестовой отчётности — Базовые навыки SQL / PostgreSQL — Опыт работы с Git, GitFlow, проведение MR и code review автотестов — Опыт внедрения и развития процессов TestOps Будет плюсом: — Высшее техническое образование и/или сертификаты ISTQB, ISTQB Test Automation Engineer — Опыт настройки инфраструктуры для автоматизации тестирования — Тестирование Kafka и асинхронных интеграций — Опыт работы с ClickHouse — Docker и контейнеризация автотестов — Интеграция с TMS и настройка уведомлений Условия: — До конца года с возможностью продления — Полная занятость — Удалённо — График МСК ± 2 часа