Вакансии

Workplace: remote Requirements Strong experience in Identity and Access Management, with a focus on authorization Experience designing authorization models for complex enterprise or industrial environments, including site-, department-, and equipment-level access structures Deep understanding of RBAC, ReBAC, ABAC, ACL / access control list models, and policy engines Experience with graph engines or graph-based authorization approaches Familiarity with authorization frameworks available on the market Experience with OAuth/OIDC and API Gateway or API Management concepts Strong technical leadership skills Nice to have Experience with AI-native platforms Experience integrating or evaluating third-party authorization layers Experience in industrial, EHS, risk management, or regulated enterprise domains We offer Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota Competitive compensation that depends on your qualification and skills Career development system with clear skill qualifications Flexible working hours aligned to your schedule Options to work remotely Corporate medical insurance covering services of private and public medical centers English courses online Corporate parties and events for employees and their children Internal conferences, workshops and meetups for learning and experience sharing Gym membership compensation 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate Any questions? Dina hh@itransition.com

Location: Cyprus; Georgia; Poland; Spain; Serbia; Portugal We are looking for a Lead FullStack Engineer with strong backend expertise to help us build reliable, scalable, and high-quality products. You will lead a small engineering team consisting of 3 engineers and 2 QA specialists. This is a hands-on role requiring deep involvement in architecture, complex technical challenges, and production development. We expect you to actively leverage AI tools to improve engineering quality and development velocity. Responsibilities Design and develop scalable backend services and APIs. Drive architecture decisions and ensure high engineering standards. Write production-ready code and actively use AI tools to accelerate development. Solve complex technical challenges and improve system reliability. Lead code reviews and maintain code quality across the team. Mentor engineers and help increase team productivity. Collaborate closely with Product, Design, and QA teams. Continuously improve development processes and engineering practices. Requirements 7+ years of software engineering experience. Strong commercial experience with Node.js and TypeScript. Experience designing scalable architectures and distributed systems. Solid understanding of PostgreSQL, Redis, REST APIs, and asynchronous patterns. Experience with Docker and CI/CD pipelines. Experience leading engineers and driving technical decisions. Strong hands-on approach and willingness to stay close to the code. Experience using AI tools such as Cursor, GitHub Copilot, Claude Code, or similar in daily development. English B2/C1. Nice to Have Experience with React or Angular. Experience with RabbitMQ, Kubernetes, and GitOps. Experience with Web3 or blockchain products. Experience integrating LLM APIs and AI capabilities into products Benefits Professional growth: support for courses, conferences, and English learning (up to 100% coverage). Work-life fit: remote or hybrid format with flexible hours across international teams. Paid leave: up to 20 vacation days +  8 company holidays + 5 personal days per year Recognition programs: structured performance reviews and team awards. Team culture: retreats in international locations (for example, company apartments in Cyprus).

Задачи: - Отвечать за delivery: от согласованных требований до успешного релиза; - Планировать и контролировать работу команды (СА, разработчики, QA); - Валидировать оценки и формировать реалистичные планы; - Развивать высоконагруженную микросервисную архитектуру; - Принимать технические и архитектурные решения; - Глубоко работать с системной аналитикой и качеством требований; - Обеспечивать надежность, масштабируемость и отказоустойчивость сервисов. Требования: - Опыт работы с высоконагруженными системами от 3–5 лет; - Практический опыт развития микросервисной архитектуры; - Опыт управления командой разработки от 8 человек; - Глубокое понимание Java / Spring / PostgreSQL / Kafka / Kubernetes; - Умение погружаться в код, архитектуру и системный анализ; - Понимание полного цикла разработки ПО; - Опыт оценки, планирования и контроля delivery; - Умение объяснять технические решения бизнесу. Будет плюсом: - Опыт с enterprise- и legacy-системами; - Event-driven архитектура; - DevOps / CI/CD; - Оптимизация PostgreSQL и Kafka; Условия: - Влияние на архитектуру и развитие платформы; - Сложные инженерные задачи; - Сильную техническую команду; - Удаленный формат работы; - Конкурентный уровень дохода.

Задачи: — Руководить командой из 3 тестировщиков: постановка задач, распределение нагрузки, контроль сроков и качества выполнения. — Выстраивать и совершенствовать процессы тестирования внутри команды. — Планировать тестирование релизов, определять приоритеты и контролировать выполнение задач. — Организовывать эффективное взаимодействие с командами разработки, аналитики и продуктового менеджмента. — Участвовать во всех этапах жизненного цикла продукта как ведущий эксперт по качеству. — Проводить тестирование критически важных пользовательских сценариев, сложных интеграций и API. — Контролировать качество тестовой документации команды. — Разрабатывать и внедрять единые стандарты подготовки тест-кейсов, чек-листов и баг-репортов. — Формировать и поддерживать базу знаний по тестированию. — Участвовать в приёмке функционала и контролировать готовность задач к релизу. Требования: — Опыт работы в тестировании от 4 лет. — Опыт работы в роли Lead QA, QA Lead или Senior QA с управлением командой. — Практический опыт руководства командой тестирования от 2-3 человек. — Глубокое понимание теории тестирования и техник тест-дизайна. — Опыт подготовки тест-планов, тест-кейсов, чек-листов и тестовой документации. — Уверенное владение инструментами тестирования API (Postman, Swagger, Fiddler или аналогичные). — Понимание принципов работы клиент-серверных приложений. — Уверенное использование инструментов разработчика в браузере. — Базовые знания SQL и архитектуры информационных систем. — Опыт работы с системами управления задачами и дефектами. Будет преимуществом: — Опыт внедрения QA-процессов с нуля. — Опыт работы в продуктовых командах. — Навыки автоматизации тестирования. — Опыт участия в построении стратегии качества продукта. — Опыт менторства и развития QA-специалистов. Условия: — Проектная занятость с гибким форматом работы. — Возможность сотрудничества как на full-time, так и на part-time основе. — Прямая коммуникация с техническим руководством без лишней бюрократии. — Возможность влиять на процессы, стандарты качества и развитие продукта. — Удалённый формат работы.

Задачи: — Разработка и поддержка интерфейсов на React 17/18 и создание масштабируемых SPA. — Интеграция с backend-сервисами через REST, GraphQL API и WebSocket. — Работа с дизайн-системами, компонентными библиотеками и адаптивная кроссбраузерная верстка. — Участие в архитектурных решениях, проведение code review и оптимизация скорости загрузки. — Разработка и поддержка тестов (unit, интеграционные, e2e). Требования: — Опыт коммерческой разработки на React от 5-6 лет. — Глубокие знания JavaScript (ES6+, event loop, асинхронность) и TypeScript (generics, conditional types). — Опыт построения архитектуры SPA и работы с микрофронтендами (Module Federation). — Владение инструментами сборки (Webpack, Vite) и Git. — Опыт работы с Next.js (SSR/SSG) и высоконагруженными системами. — Навыки менторинга, опыт настройки CI/CD и базовые знания Docker. Условия: — Полностью удаленный формат работы — возможность трудиться из любого города мира. — Соблюдение принципов work-life balance для гармонии работы и личной жизни. — Своевременные выплаты и работа над интересными проектами в крупных компаниях. — Корпоративная библиотека и скидки от партнеров на обучение и английский язык. — Открытая корпоративная культура с горизонтальным общением на «ты».

Задачи: — Разработка и поддержка приложений на .NET, Node.js и React Native (Web & iOS) — Проектирование и реализация API, интеграций и бизнес-логики — Разработка фронтенд-функциональности и пользовательских интерфейсов — Оптимизация баз данных и производительности приложений — Troubleshooting, debug и улучшение существующих систем — Участие в архитектурных обсуждениях и техническом проектировании Руководство командой: — Лидирование и менторство инженеров-разработчиков — Проведение код-ревью и соблюдение стандартов разработки — Поддержка оценки задач (task estimation) и планирования спринтов — Координация процессов разработки и технической поставки продукта — Взаимодействие с бизнес-аналитиками, PM и стейкхолдерами Требования: — 5+ лет опыта коммерческой разработки — Уверенный практический опыт работы с .NET и React Native — Опыт работы с Node.js и разработки REST API — Опыт поставки production веб- и мобильных приложений — Предыдущий опыт руководства разработчиками или роль Tech Lead — Глубокое понимание best practices программной инженерии (Clean Architecture, SOLID) — Опыт работы в Agile среде — Свободное владение английским языком B2-C1 Условия: — Релокационный пакет — помощь с переездом в Доху, Катар — Работа в международной команде с сильной инженерной культурой — Участие в масштабном продукте на рынке Ближнего Востока — Возможности для профессионального и карьерного роста — Медицинская страховка и социальные гарантии — Современный подход к Agile-процессам

Location: Barcelona; Madrid; Warsaw; Tallinn; Helsinki; Stockholm; Berlin; Tbilisi; Amsterdam; Krakow; London; Kiev Workplace: Remote ABOUT VOODOO Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way. This position is fully remote as long as you can work within CET ±5h CET. TEAM Our Gaming team is made up of hybrid-casual, casual, and mid-core experts. Our 'Core' games team supports internal and external studios worldwide in creating, developing, and launching new hit games, whilst our 'Live' games team focuses on delivering higher engagement on our existing and successful games. Joining our Live games team means collaborating with gaming industry experts on globally renowned, enduring games while embracing exciting new entrepreneurial ventures. With over seven billion downloads worldwide and a portfolio of more than 10 resilient hybrid games generating more than $20m per year, we are the world's largest and most successful hybrid publisher. You will be joining the Midcore team from Live Studios. Our main mission is converting hypercasual titles into deep midcore games. The studio is also working on Ball Blast https://play.google.com/store/apps/details?id=com.nomonkeys.ballblast&hl=en, Sniper Siege https://play.google.com/store/apps/details?id=com.tapped.snipersiege&hl=en, Epic Plane https://play.google.com/store/search?q=epic+plane+evolution+2&c=apps&hl=en, Gear Fight https://play.google.com/store/apps/details?id=com.EternalStudio.GearFight&hl=en, Archery Clash https://play.google.com/store/apps/details?id=archery.clash.tournament&hl=en&pli=1, Path of Kings https://play.google.com/store/apps/details?id=com.TornadoBear.WayofKings&hl=en & Monster Survivors https://play.google.com/store/apps/details?id=games.rivvy.monstersurvivors&hl=en. ROLE As Product Lead, you will be one of the key product leaders of the studio, working closely with the Studio Director, Creative Director and the Production team to shape and execute the product vision for the game. You will: - Define and refine the product strategy and roadmap in collaboration with the studio team. - Own prioritization and planning across key product areas (core gameplay improvements, meta progression, monetization, LiveOps). - Create clear product specifications for new features, improvements, systems and experiments. - Build and manage the A/B testing roadmap and ensure data-driven decision making. - Work closely with Game Design on progression, economy, balancing, competitive systems, player goals and long-term motivation. - Collaborate with the Creative Director to ensure that product direction supports both the gameplay vision and business objectives. - Partner with Analytics to monitor performance, understand player segments, diagnose problems and identify growth opportunities. - Act as a decisive product leader with a General Manager mindset, taking ownership of product, business and team-level decisions. - Balance strategic vision with hands-on execution. PROFILE - 5+ years of experience in product management or lead game design roles within the mobile gaming industry. - Proven experience scaling mobile games, launching major features or improving key KPIs is a strong plus. - Experience with action, PvP, competitive or skill-based games is highly valued. - Hands-on game design experience (especially around progression, economy, balancing, or player motivation), would be a significant advantage. - Strong experience working on live mobile games, ideally with midcore or hybrid-casual-to-midcore products. - Deep understanding of F2P game loops. - Proven track record of owning product strategy, roadmap, prioritization and feature delivery for successful mobile games. - Strong hands-on approach with the ability to balance strategic thinking and day-to-day execution. - Excellent analytical skills and strong experience making data-driven decisions. - Experience defining and running A/B tests, interpreting results and translating insights into product decisions. - AI-first mindset: Comfortable using AI daily and building custom agents or reusable automations to speed up your work. - Excellent communication skills with the ability to influence, align and convince stakeholders. - Strong ownership, high energy, collaborative mindset and ability to handle broad responsibilities beyond a narrow product scope. - Fluent in English. BENEFITS - Best-in-class compensation - Other benefits according to the country you reside

Задачи: — Писать код на Python (FastAPI / Django) для бэкенда. — Закрывать фронтенд-задачи на React / Vue / Next.js (админки, простые интерфейсы, интеграция с Telegram Mini Apps). — Проектировать архитектуру микросервисов под высокие нагрузки (десятки тысяч пользователей). — Работать с PostgreSQL, Redis, ClickHouse (оптимизация запросов, кэширование, аналитика). — Интегрировать AI-сервисы (OpenAI, ComfyUI, генерация видео, RAG, fine-tuning LoRA). — Руководить 2–4 разработчиками (full-stack, AI-промтологи, бэкенд). — Проводить код-ревью, менторить, помогать расти. — Участвовать в найме и онбординге новых разработчиков. — Отвечать за соблюдение дедлайнов и качества кода. — Настраивать и поддерживать пайплайны в GitHub Actions. — Управлять деплоем на сервера (Docker, Docker Swarm / K8s, Nginx / Traefik). — Обеспечивать uptime 99.9% и быстрое восстановление после инцидентов. Требования: — Python (FastAPI / Django) — уверенно, 4+ лет. — React или Vue / Next.js — базовый уровень (чтобы закрыть админку или поправить интерфейс). — PostgreSQL (оптимизация, индексы, репликация). — Redis (кэширование, сессии, очереди). — Docker, CI/CD (GitHub Actions). — Опыт с AI (OpenAI API, LangChain, RAG, работа с нейросетями). — Опыт разработки от 5 лет, из них минимум 1 год — Team Lead / Tech Lead. — Умеете и сами писать код, и управлять командой. — Понимаете, как строить масштабируемую архитектуру под highload. — Знаете, как оптимизировать БД и кэшировать данные (чтобы не ложилось при 10k RPS). — Работали с AI / LLM (не просто вызывали API, а встраивали в продукт). Будет плюсом: — ComfyUI, LoRA, ControlNet, генерация видео. — ClickHouse (аналитика, большие данные). — Kubernetes / Docker Swarm. — Опыт с Telegram Mini Apps. — Go (высоконагруженные микросервисы). Личные качества: — Скорость и прагматизм — не «идеальный код на месяц», а «работающее решение на сегодня». — Ответственность — за дедлайны, за стабильность, за команду. — Коммуникабельность — умеете объяснить разработчикам задачу, а заказчику — сроки. — Стартап-менталитет — готовность делать руками то, что нужно здесь и сейчас. Условия: — от 5000$ (фикс + бонусы за KPI). — Удалённо, полная занятость. — Возможность влиять на архитектуру и продукт с первых дней. — Минимум бюрократии, максимум скорости.

Location: Tallinn, Estonia Are you looking for the next professional opportunity that will challenge you and advance your career? Join our team now! Tickmill is looking to hire a Senior AI/ML Engineer (AI Lead) to join our rapidly expanding team. The ideal candidate will be a highly hands-on and business-oriented professional, capable of designing and delivering production-grade AI systems that drive measurable business impact. About Tickmill. Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options). Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide. Our culture is built on trust, transparency, and high standards.  We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields. Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can. We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth. Join the Tigers! What does the role look like? The Senior AI/ML Engineer (Applied AI Lead) will have the chance to: • Design, develop, and productionise machine learning models end-to-end (training, validation, deployment, monitoring, retraining), ensuring reliability in real-world environments. • Lead the development of AI use cases such as client lifetime value (CLV), churn prediction, and fraud/abuse detection, with clear alignment to business outcomes and measurable impact. • Build and establish robust MLOps practices, including model deployment pipelines, CI/CD, environment promotion (dev/stage/prod), and lifecycle management. • Implement model monitoring frameworks to track performance, data drift, data quality, and business impact, with clear retraining and escalation strategies. • Ensure model explainability and transparency using techniques such as SHAP, feature attribution, and other interpretability methods appropriate for business-critical and regulated contexts. • Define and enforce best practices around model governance, documentation, versioning, and auditability, proportional to model risk and business impact. • Collaborate closely with Data Engineering to ensure high-quality data pipelines, feature engineering, reproducibility, and scalable data foundations. • Work cross-functionally with Product, Risk, Commercial, and other stakeholders to translate business problems into pragmatic AI solutions, balancing speed and robustness. • Drive continuous improvement through feedback loops, monitoring insights, and model retraining strategies, rather than one-off model delivery. • Mentor team members and promote best practices in production AI, MLOps, and applied machine learning delivery. What do you need to succeed in this role? • 5–8+ years of experience building and deploying machine learning models in production environments (not just experimentation). • Strong Python programming skills and solid software engineering fundamentals (testing, code quality, modular design, maintainability). • Strong understanding of machine learning concepts, model evaluation, feature engineering, and practical considerations in production systems (e.g. data leakage, drift, stability). • Hands-on experience with large-scale data processing (Spark / PySpark). • Experience with ML lifecycle tools (MLflow or similar) for experiment tracking, model management, and reproducibility. • Experience building and maintaining CI/CD pipelines (GitHub Actions preferred) for ML or data workflows. • Strong SQL skills and experience working with large, complex datasets in real-world environments. • Proven ability to deliver AI/ML solutions with measurable business impact, not just model performance improvements. • Experience working with model deployment, monitoring, drift detection, and retraining strategies in production systems. • Strong communication skills with the ability to work effectively with both technical and non-technical stakeholders, translating trade-offs clearly. • Ability to operate effectively in environments with evolving requirements, imperfect data, and delivery pressure, balancing MVP speed with production robustness. The below are considered as a plus: • Experience in fintech, trading, or financial services environments, particularly where models influence business-critical decisions. • Experience with real-time or streaming ML systems. • Familiarity with modern AI approaches such as LLMs, embeddings, or retrieval-augmented generation (RAG), particularly where applied to business workflows or integrated with structured data. • Experience working in regulated environments and implementing model governance frameworks (e.g. auditability, explainability, approvals, documentation standards). • Experience contributing to team standards, mentoring, or leading applied AI delivery. By joining us, you can expect: A Unique Opportunity for a career in a global, fast-growing company. Attractive remuneration package based on qualifications and experience. Opportunities to learn and grow through our “ Employee Training & Development program”. Stebby Sports Compensation or Confido Health Compensation. Multiple events to bond with the team and the group. Birthday and Loyalty benefits . What to expect from our recruitment process: Interview with HR Assessment task Interview with hiring managers Final interview with top management Make your next Career step and apply NOW! *Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.

Location: Limassol, Cyprus Are you looking for the next professional opportunity that will challenge you and advance your career? Join our team now! Tickmill is looking to hire a Senior AI/ML Engineer (AI Lead) to join our rapidly expanding team. The ideal candidate will be a highly hands-on and business-oriented professional, capable of designing and delivering production-grade AI systems that drive measurable business impact. About Tickmill. Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options). Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide. Our culture is built on trust, transparency, and high standards.  We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields. Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can. We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth. Join the Tigers! What does the role look like? The Senior AI/ML Engineer (AI Lead) will have the chance to: • Design, develop, and productionise machine learning models end-to-end (training, validation, deployment, monitoring, retraining), ensuring reliability in real-world environments. • Lead the development of AI use cases such as client lifetime value (CLV), churn prediction, and fraud/abuse detection, with clear alignment to business outcomes and measurable impact. • Build and establish robust MLOps practices, including model deployment pipelines, CI/CD, environment promotion (dev/stage/prod), and lifecycle management. • Implement model monitoring frameworks to track performance, data drift, data quality, and business impact, with clear retraining and escalation strategies. • Ensure model explainability and transparency using techniques such as SHAP, feature attribution, and other interpretability methods appropriate for business-critical and regulated contexts. • Define and enforce best practices around model governance, documentation, versioning, and auditability, proportional to model risk and business impact. • Collaborate closely with Data Engineering to ensure high-quality data pipelines, feature engineering, reproducibility, and scalable data foundations. • Work cross-functionally with Product, Risk, Commercial, and other stakeholders to translate business problems into pragmatic AI solutions, balancing speed and robustness. • Drive continuous improvement through feedback loops, monitoring insights, and model retraining strategies, rather than one-off model delivery. • Mentor team members and promote best practices in production AI, MLOps, and applied machine learning delivery. What do you need to succeed in this role? • 5–8+ years of experience building and deploying machine learning models in production environments (not just experimentation). • Strong Python programming skills and solid software engineering fundamentals (testing, code quality, modular design, maintainability). • Strong understanding of machine learning concepts, model evaluation, feature engineering, and practical considerations in production systems (e.g. data leakage, drift, stability). • Hands-on experience with large-scale data processing (Spark / PySpark). • Experience with ML lifecycle tools (MLflow or similar) for experiment tracking, model management, and reproducibility. • Experience building and maintaining CI/CD pipelines (GitHub Actions preferred) for ML or data workflows. • Strong SQL skills and experience working with large, complex datasets in real-world environments. • Proven ability to deliver AI/ML solutions with measurable business impact, not just model performance improvements. • Experience working with model deployment, monitoring, drift detection, and retraining strategies in production systems. • Strong communication skills with the ability to work effectively with both technical and non-technical stakeholders, translating trade-offs clearly. • Ability to operate effectively in environments with evolving requirements, imperfect data, and delivery pressure, balancing MVP speed with production robustness. The below are considered as a plus: • Experience in fintech, trading, or financial services environments, particularly where models influence business-critical decisions. • Experience with real-time or streaming ML systems. • Familiarity with modern AI approaches such as LLMs, embeddings, or retrieval-augmented generation (RAG), particularly where applied to business workflows or integrated with structured data. • Experience working in regulated environments and implementing model governance frameworks (e.g. auditability, explainability, approvals, documentation standards). • Experience contributing to team standards, mentoring, or leading applied AI delivery. By joining us, you can expect: A Unique Opportunity for a career in a global, fast-growing company. Attractive remuneration package based on qualifications and experience (including 13th salary and Discretionary Bonuses to reward exceptional performance). Opportunities to learn and grow through our “ Employee Training & Development program”. Medical Insurance Cover , which includes Outpatient, Inpatient, and Dental Care. Multiple events to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company. Participation in our welfare investment and savings plan through our Provident Fund Scheme. Birthday and Loyalty benefits . Collaboration with SportBenefit. What to expect from our recruitment process: First interview with hiring managers or an HR call Task Assessment Technical Interview or home assignment Final interview with top management Make your next Career step and apply NOW! * Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.

Location: Riyadh, Saudi Arabia; Cairo, Egypt; New Delhi, India; Dubai, United Arab Emirates About the Role: We are looking for a senior SAP Finance consultant with deep S/4HANA Cloud expertise and mandatory ZATCA Phase 2 experience to lead the Finance workstream for a KSA-based client. This is the most critical functional role on the program. Key Responsibilities Lead Fit-to-Standard workshops for all Finance processes Configure GL, AP, AR, Asset Accounting across 4 company codes Own ZATCA Phase 2 e-invoicing compliance end-to-end Design and configure multi-legal-entity financial structure Lead data migration for financial master data and open items Support UAT and resolve finance-related issues during go-live Coordinate with CO consultant on cross-functional finance topics Requirements 7+ years SAP FI consulting experience Minimum 2 S/4HANA Cloud Public Edition implementations ZATCA Phase 2 clearance model go-live is mandatory — candidates without this will not be considered Strong knowledge of IFRS and multi-company code configuration Experience with cash management, bank integration, and advanced payment processing SAP Fiori Finance apps configuration experience KSA market experience strongly preferred

Мы развиваем ИТ-продукт, который включает в себя масштабную WEB-платформу и интерактивного Telegram-бота/Mini App. Наш стек: Backend на Node.js, Frontend на JavaScript. Продукт быстро растет, и сейчас мы ищем Senior QA Automation Engineer. Задачи: — Проектирование, разработка и развитие масштабируемого фреймворка автоматизированного тестирования на JavaScript / TypeScript + Node.js. — Написание и поддержка E2E-тестов, автоматизация тестирования WEB-версии продукта, включая UI/UX и кроссбраузерность, плюс интерфейс Telegram-бота. — Разработка и автоматизация API-тестов для проверки бизнес-логики и интеграций (REST / WebSockets). — Проектирование и внедрение CI/CD пайплайнов тестирования: настройка регулярного запуска автотестов в GitHub Actions, GitLab CI или Jenkins. — Проведение code review автоматизированных тестов и тестовой инфраструктуры. — Анализ и повышение тестового покрытия продукта; разработка и поддержка тестовой отчетности. — Локализация багов и заведение понятных баг-репортов; настройка автоматического создания тикетов в Jira при падении автотеста. — Контроль актуальности тестовой документации: тест-планов и чек-листов; совместно с командой определение приоритетных сценариев для автоматизации. — Внедрение лучших практик тестирования и развитие процессов автоматизации. — Тесное взаимодействие с командами Backend, Frontend, QA и DevOps. Требования: — Коммерческий опыт в автоматизации тестирования от 4 лет (включая элементы лидерства / неформального ведения задач). — Отличное знание JavaScript и экосистемы Node.js; уверенное владение TypeScript. — Опыт автоматизации UI-тестирования веб-сайтов с использованием Playwright или Cypress. — Опыт тестирования API и понимание устройства веб-протоколов. — Понимание специфики и архитектуры Telegram-ботов, включая Bot API. — Уверенное владение Git, базовые знания SQL, понимание принципов CI/CD и опыт работы с пайплайнами (GitHub Actions, GitLab CI, Jenkins). — Опыт проведения code review и готовность помогать развивать команду (при необходимости — с перспективой формального лидерства). Будет плюсом: — Опыт одновременного тестирования сквозных сценариев, например, когда действие на WEB-сайте влечет за собой проверку реакции в Telegram-боте. — Готовность предоставить ссылку на Git-репозиторий с примерами своих автотестов.

Задачи: — Управление командой разработки. — Написание кода и проведение код-ревью. — Участие в найме и развитии команды. — Выстраивание современных процессов. — Управление бэклогом: распределение задач и контроль их выполнения. — Обучение и развитие членов команды. Требования к кандидату: — Опыт в роли Team Lead от 2 лет. — Опыт в разработке от 6 лет. — Опыт организации процесса ведения задач. — Экспертный уровень Golang или Java. — Понимание теории и навык применять на практике шаблоны проектирования. — Системное мышление, умение как смотреть на проблему в целом, так и погружаться в детали. — Навыки ведения переговоров с бизнесом. — Банковский опыт (будет плюсом). — Опыт мобильной разработки Kotlin/Swift (будет плюсом). Условия работы: — Удаленный формат работы. — Белая зарплата в валюте. — Официальное оформление. — При желании помощь с релокацией. — Крутая продуктовая культура. — Свобода действий и возможность напрямую влиять на развитие бизнеса. — Развитие личного бренда на конференциях.

Задачи: — Управлять проектами: ставить цели, вести бэклог и взаимодействовать с внутренними заказчиками. — Заниматься активной разработкой кода, создавая и эксплуатируя поисковый движок на C++ и сервисы на Go. — Формировать стратегию развития и цели команды на долгосрочный горизонт (квартал — полгода). — Развивать сотрудников через менторство, составление ИПР и проведение performance review. — Планировать найм, проводить собеседования и осуществлять онбординг новых разработчиков. — Оптимизировать систему под высокие нагрузки (200 млн объявлений в индексе, сотни миллионов поисков в сутки). Требования: — Опыт коммерческой разработки на C++ от 4 лет. — Опыт управления техническими проектами и командами. — Глубокое знание базовых структур данных и алгоритмов. — Навыки проектирования и защиты архитектурных решений (БД, очереди, кеши). — Умение достигать целей через эффективную командную работу. Условия: — Прозрачная система бонусов и премий. — Оплата профильного обучения: курсы, конференции и доступ к библиотеке МИФ. — Социальный пакет: ДМС с первого дня, фитнес и компенсация питания. — Гибкий формат работы: удалёнка или современный офис в Москве. — Возможность работать с многомиллионной аудиторией в окружении сильных инженеров.

Location: Barcelona, Spain; Madrid, Spain; Tenerife, Spain; Bolzano, Italy; Rome, Italy; Budapest, Hungary; Miskolc, Hungary; Petten, Netherlands; Krakow, Poland; Krosno, Poland; Lublin, Poland; Poland; Poznan, Poland; Warsaw, Poland; Bratislava, Slovakia; Bucharest, Romania; Bucuresti, Romania; Ljubljana, Slovenia; Vilnius, Lithuania; Nicosia, Cyprus; Pilsen, Czechia; Podgorica, Montenegro; Praha, Czechia; Banská Bystrica, Slovakia; Sofia, Bulgaria; Zagreb, Croatia Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently looking for a dedicated Lead AI Aplication Engineer to join one of our clients' teams . If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you. Key Responsibilities: Build & Run the Shared AI Platform Architect and maintain a multi-tenant AI Platform that supports the full ML lifecycle across cloud and on-premises environments. Ensure high availability, low latency, and cost-efficiency for all shared AI resources. Implement LLMOps/MLOps best practices, including automated deployment pipelines for models. 2. Curate the AI Services Catalogue Develop and expose "as-a-service" capabilities: Inference-as-a-Service, Embeddings-as-a-Service, and RAG-as-a-Service. Standardize how squads interact with LLMs, providing unified APIs and abstraction layers to prevent vendor lock-in. 3. Manage AI Data Infrastructure Own the deployment and scaling of Vector Databases (e.g., Pinecone, Milvus, Weaviate) and Feature Stores (e.g., Feast, Tecton, Hopsworks). Optimize data retrieval patterns to support real-time AI applications and agentic workflows. Oversee Model Hosting environments, utilizing Kubernetes (K8s) and GPU orchestration to manage compute resources efficiently. 4. Enable Developer Self-Service Build and maintain a Self-Service Portal or CLI that allows product squads to provision AI environments, models, and data stores independently. Reduce "Time-to-Inference" for new features by providing pre-configured templates and blueprints. Conduct internal workshops and provide documentation to empower squads to use the platform effectively. Must-Have Technical Skills Infrastructure: Deep experience with Kubernetes (K8s), Docker, and Terraform/Pulumi. Hybrid Cloud: Proven experience managing workloads across AWS/Azure/GCP and On-Premises (NVIDIA AI Enterprise, OpenShift). AI/ML Tooling: Hands-on experience with vLLM, TGI (Text Generation Inference), or NVIDIA Triton for model serving. Databases: Expertise in Vector DBs and traditional SQL/NoSQL databases. Languages: High proficiency in Python and Go or Rust for platform tooling. Experience 8+ years in Platform Engineering, DevOps, or Site Reliability Engineering (SRE). 2+ years specifically focused on building AI/ML infrastructure or platforms. Experience building Internal Developer Platforms (IDP) is a massive plus.

Location: Hong Kong Job Title: Sales Lead, Hong Kong Department: Financial Partnerships & Sales Reports to: Co-Founder (Sales) Location: Remote/Hong Kong About Codex Codex is building the infrastructure for stablecoin-based cross-border payments — moving money faster, cheaper, and more transparently than the legacy financial system. Backed by Circle, Coinbase, Dragonfly, we're a small team solving hard problems at the intersection of crypto and global payments. The Role As a Sales Lead at Codex, you'll own the end-to-end commercial relationship with institutional clients and fintech partners in your region — from first outreach through to signed contracts and live trading. This is a high-ownership, high-accountability role. You'll be managing a live pipeline, attending conferences, and regularly interfacing with Compliance, Legal, and Operations to unblock deals and get clients trading. Responsibilities Pipeline Development & Outbound - Own your regional pipeline from top of funnel to close — sourcing leads, qualifying prospects, and maintaining accurate deal records - Run targeted outbound across various platforms in coordination with the Marketing function, and follow up on inbound leads generated by the website and conferences - Identify and attend high-value industry conferences and side events in your region to generate new relationships and accelerate deals in progress Deal Execution - Run discovery calls and commercial negotiations with prospects across your region - Identify client use cases, volume profiles, and corridor requirements — and translate these into pricing proposals in coordination with the Trading, Treasury and Account Management team - Escalate pricing blockers, compliance queries, and onboarding blockers with clear context so they can be resolved quickly - Manage deals involving complex structures with appropriate rigour and cross-functional coordination Client Onboarding & Activation - Own the handoff from signed deal to live trading — coordinating with internal teams on KYB, account setups, and spread configurations - Stay close to newly onboarded clients during their ramp-up period, following up on first trades and resolving any friction in their early experience - Surface client feedback on product gaps, pricing, SLAs, and rail coverage to the relevant internal teams Account Management & Reactivation - Monitor the health of your client book — tracking volume trends, flagging at-risk accounts, and proactively engaging clients who have gone quiet - Lead reactivation efforts for dormant clients in your region, understanding why they churned and what it would take to bring them back - Build deep relationships with key accounts, acting as a trusted commercial partner rather than a transactional sales contact Market Intelligence - Stay current on competitor pricing, product capabilities, and market positioning in your region, and share intelligence with the team regularly - Identify emerging client segments, use cases, or geographies that represent commercial opportunity for Codex What This Role Requires - Sales experience in fintech, crypto, payments, or financial services — ideally selling to institutional or business clients - Strong understanding of cross-border payments, stablecoins, and the FX dynamics of your target region - Comfortable discussing pricing, compliance requirements, and product capabilities in the same conversation - Highly organised with a disciplined approach to pipeline management and follow-up - Able to work across time zones and build relationships with clients who operate in fast-moving, operationally complex environments - Fluency in English required; additional languages relevant to your region are a strong advantage

Location: Latin America Workplace: Remote Job Title: Sales Lead (Latin America) Department: Financial Partnerships & Sales Reports to: Co-Founder (Sales) Location: Remote (Based in Latin America) About Codex Codex is building the infrastructure for stablecoin-based cross-border payments — moving money faster, cheaper, and more transparently than the legacy financial system. Backed by Circle, Coinbase, Dragonfly, we're a small team solving hard problems at the intersection of crypto and global payments. The Role As a Sales Lead at Codex, you'll own the end-to-end commercial relationship with institutional clients and fintech partners in your region — from first outreach through to signed contracts and live trading. This is a high-ownership, high-accountability role. You'll be managing a live pipeline, attending conferences, and regularly interfacing with Compliance, Legal, and Operations to unblock deals and get clients trading. Responsibilities Pipeline Development & Outbound - Own your regional pipeline from top of funnel to close — sourcing leads, qualifying prospects, and maintaining accurate deal records - Run targeted outbound across various platforms in coordination with the Marketing function, and follow up on inbound leads generated by the website and conferences - Identify and attend high-value industry conferences and side events in your region to generate new relationships and accelerate deals in progress Deal Execution - Run discovery calls and commercial negotiations with prospects across your region - Identify client use cases, volume profiles, and corridor requirements — and translate these into pricing proposals in coordination with the Trading, Treasury and Account Management team - Escalate pricing blockers, compliance queries, and onboarding blockers with clear context so they can be resolved quickly - Manage deals involving complex structures with appropriate rigour and cross-functional coordination Client Onboarding & Activation - Own the handoff from signed deal to live trading — coordinating with internal teams on KYB, account setups, and spread configurations - Stay close to newly onboarded clients during their ramp-up period, following up on first trades and resolving any friction in their early experience - Surface client feedback on product gaps, pricing, SLAs, and rail coverage to the relevant internal teams Account Management & Reactivation - Monitor the health of your client book — tracking volume trends, flagging at-risk accounts, and proactively engaging clients who have gone quiet - Lead reactivation efforts for dormant clients in your region, understanding why they churned and what it would take to bring them back - Build deep relationships with key accounts, acting as a trusted commercial partner rather than a transactional sales contact Market Intelligence - Stay current on competitor pricing, product capabilities, and market positioning in your region, and share intelligence with the team regularly - Identify emerging client segments, use cases, or geographies that represent commercial opportunity for Codex What This Role Requires - Sales experience in fintech, crypto, payments, or financial services — ideally selling to institutional or business clients - Strong understanding of cross-border payments, stablecoins, and the FX dynamics of your target region - Comfortable discussing pricing, compliance requirements, and product capabilities in the same conversation - Highly organised with a disciplined approach to pipeline management and follow-up - Able to work across time zones and build relationships with clients who operate in fast-moving, operationally complex environments - Fluency in English required; additional languages relevant to your region are a strong advantage

Location: Argentina; Mexico; Colombia We are looking for an experienced Remote E-commerce & Digital Marketing Lead to help manage and grow a premium home goods brand as it expands its online presence and begins investing in digital advertising. The company currently sells products through Shopify and offers home and lifestyle items including mattresses, sheets, towels, cashmere bedding, accessories, and candles. The current website was originally built on Webflow, and the business is now looking for a hands-on lead who can guide the e-commerce strategy, improve the online customer experience, and help drive qualified traffic and sales. This is a great opportunity for someone with real experience growing e-commerce brands, especially in home goods, lifestyle, luxury products, bedding, furniture, interiors, or related consumer product categories. Responsibilities Manage and optimize the Shopify e-commerce platform. Guide the overall e-commerce growth strategy, including site experience, product organization, merchandising, and conversion improvements. Review and improve product pages, collections, navigation, checkout flow, and customer journey. Plan, launch, and manage Google Ads campaigns, including Search, Shopping, and Performance Max. Support SEO strategy to improve organic visibility and reduce brand confusion with similarly named businesses. Analyze website traffic, campaign performance, conversion rates, and sales data to identify opportunities for improvement. Recommend and implement improvements to increase qualified traffic, online sales, and brand visibility. Coordinate with designers, developers, copywriters, or external vendors when needed. Help establish best practices for product listings, content, promotions, advertising, and ongoing e-commerce operations. Provide clear guidance and reporting to leadership on what is working, what needs improvement, and next steps. Requirements Proven experience managing and growing Shopify e-commerce stores. Strong experience with Google Ads, especially Google Search, Google Shopping, and/or Performance Max campaigns. Solid understanding of SEO, keyword optimization, and brand search strategy. Experience with conversion rate optimization, site merchandising, and e-commerce analytics. Familiarity with Google Analytics, Google Search Console, Shopify analytics, and paid media reporting. Experience presenting recommendations directly to leadership. Ability to take ownership of the e-commerce channel and provide strategic guidance, not only task execution. Experience in DTC, home goods, bedding, furniture, lifestyle, luxury, interiors, or consumer product brands is highly preferred. Experience with Webflow, Klaviyo, Meta Ads, email marketing, or creative direction is a plus. Benefits Work for the most exciting companies in the North American Market. Flexible schedules. Work remotely.