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Workplace: Удаленно Объединённая компания Wildberries и Russ — это международная технологическая компания, образованная в результате слияния двух лидеров рынка — IT-компании Wildberries и оператора наружной рекламы Russ. Обязанности Готовность писать код (играющий тренер); Активное участие в проектировании архитектуры проекта; Вовлечённость в технические решения команды: код-ревью, техдолг; Ответственность за качество и стабильность: CI/CD, мониторинг, инциденты, качество кода; Организация цикла разработки: регулярные активности (дейли, оценка, ретро, демо); Планирование ресурсов и загрузки: от квартальных целей до задач на спринт; Взаимодействие с продуктом и другими командами; Участие в собеседованиях, onboarding новых сотрудников; Работа с развитием разработчиков: постановка ИПР, проведение 1:1. Требования Глубокое знание Golang, обучаемость, готовность вовлекаться и в разработку и в продукт; Опыт продуктовой backend-разработки 3+ года до перехода на позицию тимлида; 2+ года управления командой; Опыт построения сложных backend-систем; Умение управлять процессом разработки: планирование, декомпозиция, контроль сроков, качества и выкатки в прод; Знание Docker/K8s/PostgreSQL/Mongo/Kafka/инструментов CI/CD; Знание и практический опыт работы с гибкими методологиями (Scrum, Kanban) будет плюсом. Условия Обучение и развитие: языковые клубы, собственный корпоративный университет, программы развития управленческих навыков и многое другое; Благополучие сотрудников: корпоративный пакет ДМС со стоматологией, корпоративный спорт, консультации психолога и дополнительные возможности аккредитованной IT-компании; Множество сообществ: клуб спикеров, футбола, йоги, шахмат и т.д.; Забота о семьях: создаем условия, в которых легко сочетать карьеру и заботу о близких – от гибкого подхода до масштабных проектов для детей сотрудников; Скидки и партнерские программы: на обучение, страхование, покупки и многое другое; Комфортная рабочая среда: бесплатное питание в офисе, современные офисы рядом с метро, корпоративная техника и портал для сотрудников.

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Summary: Location: Amsterdam Duration: 3 months Start date: Winter 2027 Compensation: Paid Eligibility: Current University student (Computer Science or related field), Recent Graduate or Early Career specialist Work authorization: Permitted to work in the job's location The role We are looking for a Software Engineer to join us as a part of Early Talent Program. You will work alongside experienced engineers, learn how high-performance backend systems are designed and operated, and contribute code that runs in real environments used by customers worldwide. You will get hands-on experience with distributed systems, workflow orchestration and engineering best practices in a team working at the cutting edge of AI cloud infrastructure. The team The Compute Control Plane team builds the core of the Nebius cloud: the Compute API, through which every VM, disk, snapshot and GPU cluster is created. The service manages 50K+ resources across 10+ regions and coordinates with storage, networking, quotas, billing and IAM, handling long-running operations and hardware failures along the way. We work in Go, gRPC, Temporal and Kubernetes. Current projects include snapshots, live VM updates, resource reservation, rate limiting and protection against cascading failures. Our engineers own their features end-to-end, from design to production. We expect you to have: Knowledge of at least one programming language (Go is a must) Understanding of basic algorithms and data structures Strong motivation to learn, grow and develop as a backend engineer Willingness to work with complex systems and ask questions What we offer: Competitive salary and comprehensive benefits package Mentorship from experienced AI, ML and cloud infrastructure professionals Hands-on experience with real customer workloads and production systems Opportunities for professional growth within Nebius A dynamic and collaborative work environment that values initiative and innovation Opportunity to be considered for a full-time role after the Early Talent Program We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know. #LI-MM3 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

- Доработка бэкенд-логики на Java (если требуется), настройка RBAC/ABAC через API и Policies, кастомизация UI (темы, компоненты, страницы), добавление кастомных полей в формы.

Location: Remote in Germany; Remote in the UK Workplace: Remote At http://sanity.io/Sanity.io http://Sanity.io, we’re building the future of AI-powered Content Operations. Our AI Content Operating System gives teams the freedom to model, create, and automate content the way their business works, accelerating digital development and supercharging content operations efficiency. Companies like PUMA, Carhartt WIP, Anthropic, Just Eat Takeaway, Spotify, HiPP, and Mercedes-AMG are using Sanity to power and automate their content operations. Your team ensures that enterprise customers are successful and happy using Sanity. This means working closely with technical leaders at our customers to align their strategic goals with implementation details; facilitating brainstorming sessions between editors, designers, and developers; and helping developers make decisions for their unique business needs. In this role, you will take ownership of your customer relationships and drive both internal and external conversations. You'll also have the opportunity to learn more and develop expertise on the people's side of technology. WHAT YOU WOULD DO: - Lead onboarding workshops that are customized to each customer’s needs and background. - Proactively develop relationships with technical and product stakeholders at our customers. - Meet regularly with technical customers to demonstrate how new features work for the customer’s specific needs, answer their questions, and help them plan their Sanity implementation. - Work with account managers to develop expansion opportunities at existing customers - Support the new account sales cycle through technical workshops and proof of concept development - Create and share examples to help customers understand concepts and implement more quickly - Develop and maintain guides and learning modules to address common topics - Develop and maintain plugins for common integrations and implementation patterns - Represent clients’ requests and requirements to the internal product team - Work with Support Engineering to work through customer challenges and unblock specific scenarios - Support marketing and product research teams to connect with relevant customers and plan events and webinars ABOUT YOU: - Based in Germany or the United Kingdom - You're fluent in both German and English - 3-5 years of experience in a software development role - Advanced experience with at least one of the following frameworks: React, Vue, Angular, Astro - Familiar with backend architecture and SaaS platform integrations - Experience with one of the following: - Implementing headless CMS - Implementing headless e-commerce - As a Solution Engineer or Solution Architect at a developer-focused SaaS - Outstanding communication skills, both verbally and in writing - Proven experience developing solutions with customers - Problem-solving skills with a results-oriented mindset - Exceptional organizational and time management skills - Structured with a strong attention to details - Bonus: experience in a B2B customer-facing role, such as consulting or account management - Bonus: you have used Sanity in production Not sure you’re exactly what we’re looking for in this role? Apply anyway! WHAT WE CAN OFFER: - A highly-skilled, inspiring, and supportive team - Positive, flexible, and trust-based work environment that encourages long-term professional and personal growth - A global, multi-culturally diverse group of colleagues and customers - Comprehensive health plans and perks - A healthy work-life balance that accommodates individual and family needs - Competitive salary and stock options program WHO WE ARE: Sanity.io http://Sanity.io is a modern, flexible content operating system that replaces rigid legacy content management systems. One of our big differentiators is treating content as data so that it can be stored in a single source of truth, but seamlessly adapted and personalized for any channel without extra effort. Forward-thinking companies choose Sanity because they can create tailored content authoring experiences, customized workflows, and content models that reflect their business. Sanity recently raised a $85m Series C led by GP Bullhound and is also backed by leading investors like ICONIQ Growth, Threshold Ventures, Heavybit and Shopify, as well as founders of companies like Vercel, WPEngine, Twitter, Mux, Netlify and Heroku. This funding round has put Sanity in a strong position for accelerated growth in the coming years. You can only build a great company with a great culture. Sanity is a 300+ person company with highly committed and ambitious people. We are pioneers, we exist for our customers, we are hel ved, and we love type two fun! Read more about our values here! https://www.sanity.io/blog/our-sanity-values Sanity.io pledges to be an organization that reflects the globally diverse audience that our product serves. We believe that in addition to hiring the best talent, a diversity of perspectives, ideas, and cultures leads to the creation of better products and services. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.

KORPA is looking for an experienced Flutter developer to build and improve our mobile app for iOS and Android on a project basis. Requirements - 10+ years of Flutter/Dart and native iOS and Android commercial development experience.

Location: Bulgaria 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 The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers. Project Tech Stack .NET, C#, MS SQL Server (T-SQL), Angular (preferably v18+), CSS, Web Services, REST APIs, Azure, CI/CD pipelines, and DevOps workflows, Visual Studio What You’ll Do Participate in services design and design review Participate in implementing frontend services using Angular v.18, and CSS Work with database queries (T-SQL) Provide API exposure and management: create backend microservices used by front-end clients Make services cloud-ready as a part of a large product migration to the cloud (Azure) Work with security and data protection -> access/security/privacy Implement custom business logic in back-end services (.NET) Integration with other solution components and 3rd party business applications and servers What You Bring Extensive hands-on professional experience with C#/ .NET Experience with relational databases Knowledge of Angular, JavaScript Professional experience with Web Services, REST APIs Experience in service-oriented architecture and design patterns Hands-on knowledge of the Microsoft Azure platform Knowledge of CI/CD principles Demonstrated ability to give estimates for new features based on minimal requirements/specifications, to prioritize and break down work into milestones and sprints English level Upper-intermediate and higher 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 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.

Workplace: Офис, Гибридный Система симуляции проезда помогает оценивать качество релизов ПО автономного автомобиля. Наша команда отвечает за то, чтобы технологии симуляции сенсоров были по-настоящему встроены в closed-loop-симуляцию и доведены до приёмок в продакшене. У нас большие планы и много интересных задач. Ключевые критерии качества автономного автомобиля — безопасность, комфорт и эффективность. Для их измерения мы в Яндексе разработали систему симуляции: она позволяет анализировать поведение авто в виртуальном окружении и оценивать влияние внешних и внутренних факторов на поведение машины. Мы отвечаем за то, чтобы технологии симуляции сенсоров — реконструкция локаций, синтез данных камер и лидаров — были по-настоящему встроены в closed-loop-симуляцию и доведены до приёмок в продакшене. Мы опираемся на наработки смежных команд по 3D-реконструкции и синтезу сенсоров и превращаем их в надёжный инструмент тестирования автопилота. Обязанности Управление командой Вы будете руководить командой разработчиков и ML-инженеров: ставить цели, декомпозировать их в задачи и вести от постановки до внедрения в продакшен. Также вы определите приоритеты развития симулятора: какие сенсорные эффекты и сценарии моделировать в первую очередь и как сочетать интеграцию готовых решений с собственной алгоритмической генерацией. Встраивание симуляции сенсоров в closed-loop-симуляцию Симулятор должен реалистично генерировать данные камер и лидаров, чтобы поверх них работал полноценный perception автопилота в closed loop. Вы будете встраивать в пайплайн решения по 3D-реконструкции локаций и синтезу сенсоров, отвечать за их стабильность и производительность в продакшене, а также за достоверность симуляции на уровне perception автопилота. Сюда же — выстраивание процессов валидации новых сигналов и возможностей автопилота в симуляции. Воспроизводимость CL-симуляции с сенсорами Цель — чтобы автопилот, читающий синтетические сенсоры, принимал те же решения, что и в аналогичной ситуации в реальности. Для этого нужно развивать собственную алгоритмическую генерацию сенсорных данных: IMU, телеметрии автомобиля, лидара. Сюда же — моделирование рельефа и дорожного покрытия с корректным отражением на всех сенсорах, включая IMU и камеры. Отдельное направление — полностью синтетические сцены, созданные в редакторе или сгенерированные LLM-агентом. Реалистичность мира: ассеты, LOD и перформанс Вы будете отвечать за назначение ассетов и LOD агентам в симуляторе. Мир должен быть реалистичным во всех деталях, включая артефакты сенсоров: rolling-shutter, влияние погодных условий и другие эффекты, воздействующие на восприятие. Отдельный фокус — перформанс: какие ассеты хранятся в памяти и подгружаются в рантайме, чтобы симуляции оставались быстрыми и масштабируемыми. Кросс-функциональная работа Симулятор — важнейший инструмент разработки, тестирования и приёмки ПО автономного транспорта. Вы будете собирать и приоритизировать заказы команд разработки: решать их силами своей команды или передавать смежным, управляя ожиданиями по точности системы и внедрению новых фич. Приоритет — воспроизведение сложных для автопилота дорожных ситуаций, чтобы находить и устранять их причины. Больше о бэкенде в Яндексе — в канале Yandex for Backend Требования * Управляли командой бэкенд- или ML-разработчиков * Занимались промышленной разработкой на C++ * Внедряли ML-модели в продакшен и готовы разбираться в новых архитектурах и областях * Умеете доводить исследовательские наработки до продакшена: ставить требования, принимать решения, отвечать за стабильность и производительность * Готовы работать руками на этапе прототипирования и проверки гипотез, в том числе писать исследовательский код и анализировать результаты * Умеете критически оценивать результаты и видеть потенциальные проблемы решений * Не боитесь браться за нерешённые задачи и готовы доводить свои идеи до продакшена Будет плюсом * Работали с симуляторами или робототехническими платформами (ROS, Gazebo, CARLA, NVIDIA Isaac Sim и др.) * Имели дело с симуляцией сенсоров, perception-подсистемами, 3D-реконструкцией (в том числе 3DGS) или генеративными моделями для синтеза данных * Понимаете, как устроены сенсоры и телеметрия автономного транспорта: камеры, лидары, IMU, нагрузка на оси, скорости вращения колёс * Знаете правила дорожного движения, водили автомобиль или мотоцикл

Location: Remote; Europe; Switzerland; Poland; United Kingdom; Netherlands Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role You’ll build the tools that make Studio a video editor people want to live in. These include transitions, color grading and elements libraries all built on top of our in-house engine. You’ll also build presets, so a user can get the effect they want without tweaking 20 individual controls. The work mixes greenfield features with polish on the existing editor. An example of the polish is letting editors coming from Premiere Pro or Final Cut Pro rebind their keyboard shortcuts in one step. You’ll write proposals, get fast feedback, and own features through launch, including the marketing moment. You’re a product-minded, frontend-leaning full-stack engineer. Deep backend skills aren’t required. Requirements - Strong frontend engineer who has built complex, interactive UIs. - Enough full-stack ability to work across the stack, but deep backend expertise isn’t needed. - Evidence of product responsibility: side projects, open source, or product-facing work. - Thrives in a fast-moving, startup-style environment, and takes ownership with minimal hand-holding. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

• Управление инженерной организацией: руководство Backend, Frontend, DevOps и QA, развитие технических лидов, повышение эффективности команд. • Опыт управления инженерной организацией размером примерно 20–50 человек и несколькими техническими лидами.

Location: Москва Мы - команда, создающая **комплексную систему противодействия мошенничеству** и обеспечивающая online/offline безопасность миллионов клиентов банка 24/7/365, предоставляя инструменты **собственной разработки** для: * Построения графа связей (позволяет проанализировать не только объекты и их свойства, но также их связи с другими объектами различных уровней и характеристик и применяется для получения дополнительных знаний об объекте за счет извлечения знаний о его окружении, выявления наиболее значимой информации, центров влияния, групп связанных объектов, цепочек) * Геопространственой аналитики: анализа локаций, построения маршрутов и тепловых карт * Выявления и анализа попыток мошенничества и иных отклонений * Портфеля технологичных сервисов накопления и обработки больших объемов данных со сложной структурой Мы находимся на передовой технологических инноваций, соединяя возможности ИИ, современные технологии и потребности общества. Наше направление AI-трансформации — это стратегическая инициатива по интеграции LLM-агентов и мультиагентных систем в собственную аналитическую платформу: * AI-решения для глубокого анализа данных * Набор AI Tools, дающих агентам доступ к инструментам и сервисам платформы * Собственная no-code/low-code платформа для оркестрации AI-агентов и автоматизации рабочих процессов * Интеграция с внутренними LLM-шлюзами и средами исполнения агентов * RAG-системы для работы с корпоративными базами знаний и методологиями Наш передовой технологический стек: * Storage - Hadoop, Cassandra, ClickHouse, Elasticsearch, FastGraph, PostgreSQL * Big Data Engineering- Scala, Spark, Flink * Backend - GO (GIN), Scala (ZIO), Kubernetes (OpenShift, DropApp) * Fronted - React, Redux (Redux ToolKit, RTK Query), Typescript, jest. Библиотеки: react-force-graph, leaflet * AI - Python (LangChain, LangGraph, Harness), GO (mcp-go), Typescript (no code platform), ai-coding (gigacode cli, claude, codex), RAG\\GraphRag (PostgreSQL, Elasticsearch, Qdrant) * QA - Java, TestNG, Selenium, Maven, Allure * DevOps - Docker, Helm, Jenkins Обязанности * Проектирование и анализ архитектуры технического решения совместно с командой разработки * Разработка и согласование концепции, проектной документации и технической документации, описание API, ведение документации в Confluence * Развитие направления мультиагентных решений обеспечивая полный цикл реализации * Проведение исследовательских работ и тестирование новых подходов и техник AI * Анализ источников данных, разработка моделей данных, логики алгоритмов и интеграций * Документирование и обеспечение соблюдения правил сбора, хранения и использования данных * Участие в полном цикле разработки и внедрения Требования * Умение быстро погружаться в исследуемую область и оперативно переключаться на новое направление * Навыки интеграции решений на основе ML/AI в реальные производственные системы * Опыт проектирования логической и физической моделей данных. Языки SQL: понимание работы ETL-инструментов, умение писать SQL-запросы различной сложности * Знание форматов JSON/XML и навыки проектирование REST API * Способность обрабатывать и структурировать большой объем сложной информации, доступно и наглядно ее презентовать * Сбор, анализ и документирование бизнес-требований, описание use case, генерация идей, проработка технических решений, интеграционных взаимодействий * Коммуникативные навыки, достаточные для выстраивания конструктивного взаимодействия со смежными подразделениями и внутри команды Будет плюсом * Понимание ключевых алгоритмов и подходов в AI/GenAI (LLM, vector search, NLP, context engineering и др.) * Понимание архитектуры AI/GenAI решений, LLM, RAG, BI и DataOps * Наличие опыта разработки собственных библиотек и инструментов для AI * Опыт успешного внедрения AI-решений, знание инструментов AI на рынке * Опыт программирования на любом языке и способность анализировать код * Владение инструментами Big Data (Hadoop, AirFlow, Spark, Kafka) * Понимание принципов работы NoSQL баз данных (Cassandra, ClickHouse, ElasticSearch, Qdrant, Neo4j) Условия * Комфортный современный офис (ст.м.Кутузовская) * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.

- Build and maintain responsive web applications. - Turn designs and product requirements into polished interfaces.

Bleap is looking for a Software Engineer Security to own cloud, infrastructure, access, and onchain security.

Ручное функциональное, регрессионное, Smoke и приемочное тестирование Web приложений и Backend;

Location: Belgrade, Remote Workplace: remote Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money. The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region. Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion. We’re looking for an Engineering Manager to lead Tabby Card Activation team. You’ll combine strong technical expertise with people leadership, acting as a playing coach who stays hands-on with the codebase while driving architectural decisions, engineering excellence and team development. Working closely with Product and other cross-functional teams, you’ll help build scalable solutions that support Tabby Card’s growth, monetization and customer experience. What you’ll bring: 5+ years of backend engineering experience, ideally including 2+ years of Golang (not a must). 2+ years of experience as an Engineering Manager, preferably at a fast-growing fintech or e-commerce company. Experience building scalable, distributed systems and working with high-load architectures. Solid understanding of backend tools and technologies, we use PostgreSQL, Redis, Kubernetes, Google Cloud Platform, GitLab, and a microservices architecture. Experience integrating third-party APIs and contributing to product development. A passion for writing clean, testable, and maintainable code. A proactive mindset and the ability to work independently. Strong communication skills in English. Responsibilities: Lead large cross-team projects and drive them to production. Stay hands-on as a playing coach: write code, participate in architectural discussions, and contribute to key technical decisions. Review feature designs and ensure non-functional requirements are met. Oversee technical debt management and incident handling. Drive the effective adoption of AI tools and practices across the SDLC and team processes to improve engineering productivity. Contribute to quarterly planning and roadmap definition. Hire, evaluate, mentor, and motivate team members. Build cross-team and cross-functional collaboration to increase efficiency. Foster a results- and business-oriented culture. Monitor key team performance indicators. Ensure process and delivery transparency for stakeholders and partner functions. Optimize processes to improve productivity. What we offer: Full-time B2B contract Fully remote setup Up to 20% tax allowance 22 paid leave days annually Stock options (ESOP) in a fast-scaling, pre-IPO company Flexi benefits you can use for wellness, travel, or learning Work alongside a high-performing, international engineering team in a global fintech unicorn Relocation support is available to our hubs in Armenia, Georgia, Serbia, Portugal, and Spain, including flights, temporary accommodation and legal setup.

Открыта позиция веб-аналитика для настройки сквозной веб- и мобильной аналитики и работы с воронкой продаж на сайте и в приложении. - Настройка веб- и мобильной аналитики (Google Analytics 4, Amplitude, Firebase);

Location: Canada, Waterloo, ON 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. At PlayStation, we're passionate about both partnership and technology. We care about building performant products and powerful tools, solving practical problems in delightful ways. We love building the systems that millions of people use, and we're always our own first customers and critics. We strive to be at the forefront of development technologies and celebrate our diversity with engineering teams located on four continents from all walks of life. We build our teams to be places where every voice is heard, all input is valued, and our members have the creative freedom to make their ideas real. Sr Software Development Engineer in Test , ML Locations: Madison, WI and Waterloo, Ontario Canada P layStation is seeking a Sr Software Development Engineer in Test, ML to join our Madison team and lead quality efforts for machine learning-powered products and services. You will partner closely with ML engineers, software engineers, product managers, and data partners to build scalable test automation and validation approaches for systems serving PlayStation at global scale. This role is focused on building confidence in model reliability, production readiness, and behavioral consistency. Unlike traditional software backend testing, success here requires validating probabilistic systems through score distributions, cohort-level behavior, thresholds, and statistical signals, not just deterministic pass/fail assertions. Responsibilities: Drive architecture-level automation solutions and scalable quality engineering practices across multiple teams and product areas. Design, develop, and maintain automated test frameworks, test scripts for ML inference services and related ML platform components using python/Java Build and automate realistic, representative test account creations and datasets to evaluate model behavior across different scenarios Validate score distributions, ranking behavior, output quality, and other model signals for incoming ML models prior to release Perform different types of testing, including functional, integration, regression and API testing working with RESTful APIs, microservices and databases, and non-functional performance and load testing to verify inference service scalability, latency requirements and reliability under production like conditions Work closely with ML engineers and ops teams to ensure that all features and bug fixes come with automated test coverage, ensuring continuous integration and deployment Debug and analyze test failures, model anomalies and report defects Drive high standards of quality for both engineering decisions and customer-facing features with optimal test and automation strategy Develop and implement best practices for test automation that is highly scalable and maintainable Monitor test execution and optimize performance in test environments Come up with innovative solutions to organizational problems Required Qualifications: A Bachelor's degree in Computer Science or related field Minimum 5 years of experience as an SDET, with strong experience testing backend systems. Proficiency in Python/Java/Scala/go for test automation. Hands-on experience with API testing tools (e.g., Postman or similar) for distributed systems Familiarity with CI/CD pipelines and test execution in Jenkins or similar environments such as jenkins, GitHub Actions, ArgoCD, etc Hands-on experience building and maintaining automated test frameworks (e.g., pytest, JUnit, TestNG, etc.)Experience in working with databases  for backend validation. Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker, etc.) Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana, Datadog, etc.) for validating service health Strong understanding of software development lifecycle (SDLC) and agile methodologies. Excellent problem-solving skills and excellent communication skills. Preferred Qualifications: Experience testing machine learning systems, such as recommendation systems, search ranking systems, or other probabilistic ML application systems. Experience creating synthetic or seeded test data to simulate realistic customer/account behaviors. Experience evaluating model outputs using statistical techniques, distribution analysis, or scenario-based validation, rather than deterministic assertions. Knowledge of data pipelines, feature stores, inference systems or model-serving infrastructure (Seldon, KServe, Ray Serve, etc.) is a plus. Experience with performance and load testing tools Experience with Databricks or similar ML platform tooling Experience architecting and optimizing CI/CD pipelines, quality gates, and release validation systems using Jenkins or similar platforms. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. The estimated Ontario base pay range for this role is listed below. $114,000 — $143,000 CAD 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.

Location: United States, Madison, WI 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. At PlayStation, we're passionate about both partnership and technology. We care about building performant products and powerful tools, solving practical problems in delightful ways. We love building the systems that millions of people use, and we're always our own first customers and critics. We strive to be at the forefront of development technologies and celebrate our diversity with engineering teams located on four continents from all walks of life. We build our teams to be places where every voice is heard, all input is valued, and our members have the creative freedom to make their ideas real. Sr Software Development Engineer in Test , ML Locations: Madison, WI and Waterloo, Ontario Canada P layStation is seeking a Sr Software Development Engineer in Test, ML to join our Madison team and lead quality efforts for machine learning-powered products and services. You will partner closely with ML engineers, software engineers, product managers, and data partners to build scalable test automation and validation approaches for systems serving PlayStation at global scale. This role is focused on building confidence in model reliability, production readiness, and behavioral consistency. Unlike traditional software backend testing, success here requires validating probabilistic systems through score distributions, cohort-level behavior, thresholds, and statistical signals, not just deterministic pass/fail assertions. Responsibilities: Drive architecture-level automation solutions and scalable quality engineering practices across multiple teams and product areas. Design, develop, and maintain automated test frameworks, test scripts for ML inference services and related ML platform components using python/Java Build and automate realistic, representative test account creations and datasets to evaluate model behavior across different scenarios Validate score distributions, ranking behavior, output quality, and other model signals for incoming ML models prior to release Perform different types of testing, including functional, integration, regression and API testing working with RESTful APIs, microservices and databases, and non-functional performance and load testing to verify inference service scalability, latency requirements and reliability under production like conditions Work closely with ML engineers and ops teams to ensure that all features and bug fixes come with automated test coverage, ensuring continuous integration and deployment Debug and analyze test failures, model anomalies and report defects Drive high standards of quality for both engineering decisions and customer-facing features with optimal test and automation strategy Develop and implement best practices for test automation that is highly scalable and maintainable Monitor test execution and optimize performance in test environments Come up with innovative solutions to organizational problems Required Qualifications: A Bachelor's degree in Computer Science or related field Minimum 5 years of experience as an SDET, with strong experience testing backend systems. Proficiency in Python/Java/Scala/go for test automation. Hands-on experience with API testing tools (e.g., Postman or similar) for distributed systems Familiarity with CI/CD pipelines and test execution in Jenkins or similar environments such as jenkins, GitHub Actions, ArgoCD, etc Hands-on experience building and maintaining automated test frameworks (e.g., pytest, JUnit, TestNG, etc.)Experience in working with databases  for backend validation. Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker, etc.) Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana, Datadog, etc.) for validating service health Strong understanding of software development lifecycle (SDLC) and agile methodologies. Excellent problem-solving skills and excellent communication skills. Preferred Qualifications: Experience testing machine learning systems, such as recommendation systems, search ranking systems, or other probabilistic ML application systems. Experience creating synthetic or seeded test data to simulate realistic customer/account behaviors. Experience evaluating model outputs using statistical techniques, distribution analysis, or scenario-based validation, rather than deterministic assertions. Knowledge of data pipelines, feature stores, inference systems or model-serving infrastructure (Seldon, KServe, Ray Serve, etc.) is a plus. Experience with performance and load testing tools Experience with Databricks or similar ML platform tooling Experience architecting and optimizing CI/CD pipelines, quality gates, and release validation systems using Jenkins or similar platforms. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $152,000 — $190,000 USD 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.

AI-native приложения, агентные возможности, RAG, интеграции LLM и корпоративных систем. Python, backend/full-stack.