Вакансии

Location: Cairo, Egypt; Riyadh, Saudi Arabia; Dubai, United Arab Emirates; New Delhi, India; Tallinn, Estonia Müller’s Solutions is seeking an experienced ServiceNow Cloud Migration Lead to own and deliver the migration of a ServiceNow instance from a self-hosted (on-premise) environment to ServiceNow on GCP. This is a hands-on technical leadership role requiring deep platform knowledge and a structured delivery mindset. Key Responsibilities • Lead end-to-end migration planning: discovery, architecture, cutover, and post-migration validation • Conduct full assessment of the current on-prem instance (version, customizations, integrations, data volume) • Design the migration approach — clone-based lift, upgrade alignment, or phased rollout • Manage ServiceNow cloning, MID Server reconfiguration, and GCP connectivity • Audit and remediate custom scripts, flows, and integrations pre-migration • Coordinate with the client’s infrastructure and security teams on network, SSO, and firewall changes • Execute UAT support, regression testing, and hypercare post-go-live • Produce migration runbooks, risk registers, and cutover plans Requirements Required Skills • 5+ years on the ServiceNow platform; at least one completed cloud migration (on-prem → cloud) • Strong knowledge of ServiceNow architecture: MID Servers, instance cloning, upgrade paths • Hands-on experience with GCP networking concepts (VPC, Cloud Interconnect, DNS) • Proficiency in ServiceNow scripting (Business Rules, Script Includes, Flow Designer) • Integration experience: REST, SOAP, LDAP, SSO/SAML • Familiarity with ServiceNow PDI, instance hierarchy, and clone exclusion rules Nice to Have • CSA or CIS certification • Experience with ServiceNow Health Scan and ATF (Automated Test Framework) • Prior work in KSA/GCC enterprise environments

Location: Dubai, United Arab Emirates; India; Riyadh, Saudi Arabia; Tallinn, Estonia; Cairo, Egypt Muller's Solutions is seeking a Skadina Technical Lead specializing in Strategy, Leadership, and Technical Vision. This role will provide strategic technical direction, drive innovation, and mentor development teams using the Skadina platform, ensuring long-term scalability and strategic alignment with business goals. Key Responsibilities: Define the technical strategy and long-term vision for projects built on the Skadina platform. Provide leadership and mentorship to development teams, fostering innovation and best practices. Ensure alignment between technical solutions and business goals. Drive the adoption of Skadina across teams and promote a scalable architecture. Oversee technical risk management and mitigation strategies. Collaborate closely with stakeholders and architects to guide complex solution designs. Ensure the platform is leveraged effectively to meet scalability, security, and performance goals. Requirements Required Qualifications: Bachelor’s degree in Computer Science, Information Technology, or a related field. Minimum 8+ years of experience in software development and enterprise architecture. Proven experience with the Skadina platform. Strong leadership skills with a track record of guiding technical teams. Excellent communication and strategic planning abilities. Experience working in Agile/Scrum environments.

Location: Dubai, United Arab Emirates; Riyadh, Saudi Arabia; New Delhi, India; Cairo, Egypt; Tallinn, Estonia Muller's Solutions is seeking a Technical Lead specializing in Data Migration, Testing, and Quality Execution to lead migration activities and ensure the successful delivery of high-quality solutions on the Skadina platform. The ideal candidate will oversee data migration strategies, testing activities, and quality assurance processes while ensuring smooth implementation and data integrity throughout the project lifecycle. Key Responsibilities: Lead end-to-end data migration activities, including planning, mapping, transformation, validation, and reconciliation. Define and execute data migration strategies and methodologies for Skadina implementations. Oversee functional, integration, system, regression, and User Acceptance Testing (UAT) activities. Ensure data quality, integrity, and consistency throughout migration and deployment phases. Develop and review test plans, test cases, test scripts, and quality metrics. Coordinate defect management, issue resolution, and root cause analysis activities. Collaborate with architects, business analysts, developers, and business stakeholders to ensure successful project delivery. Support cutover planning, deployment activities, and post-go-live stabilization. Monitor project quality standards and ensure compliance with established processes and best practices. Provide technical leadership and mentorship to project teams during migration and testing phases. Prepare and maintain technical documentation, migration plans, and testing reports. Benefits Key Responsibilities: Lead end-to-end data migration activities, including planning, mapping, transformation, validation, and reconciliation. Define and execute data migration strategies and methodologies for Skadina implementations. Oversee functional, integration, system, regression, and User Acceptance Testing (UAT) activities. Ensure data quality, integrity, and consistency throughout migration and deployment phases. Develop and review test plans, test cases, test scripts, and quality metrics. Coordinate defect management, issue resolution, and root cause analysis activities. Collaborate with architects, business analysts, developers, and business stakeholders to ensure successful project delivery. Support cutover planning, deployment activities, and post-go-live stabilization. Monitor project quality standards and ensure compliance with established processes and best practices. Provide technical leadership and mentorship to project teams during migration and testing phases. Prepare and maintain technical documentation, migration plans, and testing reports. Required Qualifications: Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field. Minimum 8+ years of experience in enterprise application implementation, with significant experience in data migration and testing. Proven hands-on experience with the Skadina platform . Strong experience in data migration, ETL processes, data mapping, and data validation. Experience leading testing activities, including SIT, UAT, regression, and performance testing. Strong understanding of software quality assurance methodologies and defect management processes. Experience with test management and defect tracking tools. Excellent analytical, troubleshooting, and problem-solving skills. Strong communication and stakeholder management skills. Experience working in Agile/Scrum environments. Preferred Qualifications: Experience in large-scale digital transformation or migration projects. Experience in government or public sector projects is highly preferred. Knowledge of data governance and data quality frameworks. Experience with automation testing tools and quality assurance frameworks. Key Skills: Skadina Platform Data Migration & ETL Testing & Quality Assurance Data Validation & Reconciliation UAT, SIT & Regression Testing Defect Management Technical Leadership Root Cause Analysis Stakeholder Management Agile/Scrum Methodologies

Location: Cairo, Egypt; New Delhi, India; Riyadh, Saudi Arabia; Tallinn, Estonia; Dubai, United Arab Emirates Muller's Solutions is seeking a highly skilled Skadina Technical Lead to lead development activities and ensure the successful delivery of digital solutions built on the Skadina platform. The ideal candidate will provide technical leadership, mentor development teams, and ensure adherence to coding and quality standards. Key Responsibilities: Lead the design, development, and implementation of solutions on the Skadina platform. Provide technical leadership and mentorship to development teams. Translate business requirements into technical solutions. Review code and ensure adherence to development standards and best practices. Coordinate with architects, business analysts, and QA teams to ensure successful delivery. Support system integration, testing, deployment, and post-production activities. Troubleshoot and resolve complex technical issues. Ensure application performance, security, and scalability. Prepare technical documentation and knowledge transfer materials. Requirements Bachelor's degree in Computer Science, Information Technology, or a related field. Minimum 8+ years of software development experience, including leadership responsibilities. Proven hands-on experience with the Skadina platform . Strong experience in software development, system integration, and API development. Experience leading technical teams in enterprise environments. Excellent problem-solving and communication skills. Experience with Agile/Scrum methodologies is preferred.

Location: Riyadh, Saudi Arabia Key Responsibilities: Design technical architectures aligned with Ministry-approved standards. Ensure the use of approved technologies such as .NET, Angular, and SQL Server. Develop secure digital applications and services following secure coding standards. Design and implement integrations with internal and external systems using APIs, ESB, and middleware technologies. Establish and manage CI/CD pipelines. Prepare technical and architectural documentation. Implement and validate High Availability and Failover mechanisms. Support performance, security, and functional testing activities. Ensure compliance with MFA, WAF, Data Encryption, Monitoring, and SSO requirements. Requirements Required Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Minimum 8–10 years of experience in digital application and system development. Strong experience with .NET, Angular, SQL Server, APIs, and enterprise integrations. Experience with DevOps, CI/CD, and secure coding practices. Excellent architectural and technical leadership skills.

Задачи: — Проектировать, строить и оптимизировать масштабируемые AWS-решения для данных с использованием Databricks, включая архитектуры Lakehouse с Delta Lake и Unity Catalog. — Разрабатывать пакетную и потоковую обработку данных с использованием Apache Spark, Flink, Kafka, Amazon MSK и Kinesis. — Руководить интеграцией и миграцией данных (сопоставление источников и целей, загрузка, трансформация и обеспечение качества данных). — Вести архитектуру платформы данных, моделирование данных и лучшие инженерные практики для масштабируемости, надежности и долгосрочной поддержки. — Создавать и управлять автоматизированными рабочими процессами и конвейерами данных с использованием Databricks Workflows, Apache Airflow, MWAA, Snowflake и Amazon Redshift. — Наставлять команды инженеров данных и переводить бизнес-требования в технические решения, дорожные карты и планы поставки. Требования: — Подтвержденный опыт работы Lead Data Engineer с масштабируемыми платформами и конвейерами данных. — Практические навыки пакетной и потоковой обработки с Apache Spark, Flink, Kafka, Amazon MSK или Kinesis. — Сильный опыт работы с AWS и Databricks, включая Delta Lake, Unity Catalog, Workflows и Jobs. — Продвинутый уровень SQL и владение Python (предпочтительно), Scala или Java. — Опыт оркестрации рабочих процессов данных с Databricks Workflows, Apache Airflow или MWAA. — Английский язык на уровне не ниже Upper-intermediate. Условия: — Удаленная или офисная модель работы. — Работа в инновационной среде на протяжении всего жизненного цикла решения. — Возможность изучать новые технологии и делиться знаниями в инженерном сообществе. — Руководящая роль с наставничеством и поддержкой команды. Процесс найма: — Подать заявку через форму. — Связь с рекрутером и этапы интервью.

Задачи: — активно участвовать в разработке микросервисов на Python; — участвовать в проработке технических требований, архитектуры и подходов к решению; — участвовать в управлении бэклогом команды, проводить приоритезацию и контролировать выполнение задач; — заниматься people-менеджментом: участвовать в найме, развитии сотрудников и т.д. Требования: — опыт работы в роли MLOps Engineer от 4-х лет; — опыт работы в роли Team Lead/ проведение code review – не менее 1 года; — опыт коммерческой backend-разработки на Python от 3-х лет; — понимание способов интеграций IT-систем (шины, очереди, API); — практический опыт с Kubernetes, Redis; — опыт работы с реляционными базами данных, уверенные знания SQL; — понимание принципов CI/CD; — понимание микросервисной архитектуры; — опыт работы с ИИ моделями и их внедрением. Будет плюсом: — знания в области BigData (Hadoop, Spark), OpenSearch; — знание планировщиков процессов (AirFlow); — опыт работы в банковской сфере; — понимание гибких методологий разработки (Agile); — знание основных инструментов управления разработкой (например: Jira, Confluence); — знания и опыт в Machine learning; — опыт управления IT проектами, включая разработку и внедрение ML моделей в продакшн; — опыт разработки ML моделей в роли data scientist, data engineer, ML Ops. Условия: — Хорошая зарплата: уровень обсуждается индивидуально, есть доплаты за менторство и профактивности. — Развитие: долгосрочные проекты от российских заказчиков, возможность менять направления, прозрачная система Performance Review. — Комфорт и свобода: релокейт между офисами, выбор формата работы (удалённо, офис, гибрид), адаптация для новых сотрудников. — Обучение: доступ к корпоративному порталу, митапам, конференциям (и как гость, и как спикер). — Социальный пакет: ДМС со стоматологией, частичная компенсация спорта, бесплатный английский, оплачиваемый отпуск и больничные. — Корпоративная жизнь: тимбилдинги, детские праздники, внутренние мероприятия.

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