Вакансии

About the Role We are looking for a Senior Smart Contract Engineer to help design, build, and launch secure blockchain products with seamless wallet-connected user experiences. You’ll work on smart contract architecture, wallet transaction flows, testing, deployment, and Web3 application integrations across networks such as Ethereum, Arbitrum, Optimism, Base, and Polygon. The role is ideal for an engineer who cares deeply about security, clean architecture, gas efficiency, and building products users can trust. Responsibilities — Design, develop, test, and deploy secure smart contracts for blockchain applications. — Build and maintain wallet integration flows, including wallet connection, transaction signing, network switching, and error handling. — Collaborate with frontend and backend engineers to integrate smart contracts into user-facing products. — Improve smart contract architecture with a focus on security, scalability, maintainability, and gas efficiency. — Write comprehensive unit, integration, and end-to-end tests for smart contracts and wallet workflows. — Support contract deployment, verification, monitoring, and upgrade processes across testnet and mainnet environments. — Participate in code reviews and contribute to engineering best practices. — Work with product and engineering teams to define technical requirements and deliver production-ready blockchain solutions. — Stay current with blockchain protocols, Web3 tooling, wallet standards, and smart contract security practices. Requirements — 5+ years of professional experience as a Smart Contract Engineer, Blockchain Engineer, or similar role. — Strong proficiency in Solidity and EVM-based smart contract development. — Experience with development frameworks such as Hardhat, Foundry, or Truffle. — Experience with wallet integration libraries such as ethers.js, web3.js, wagmi, viem, or similar tools. — Hands-on experience integrating wallets including MetaMask, WalletConnect, Coinbase Wallet, and other EVM-compatible wallets. — Strong understanding of blockchain fundamentals, including gas optimization, transaction lifecycle management, smart contract upgrade patterns, token standards (ERC-20, ERC-721, ERC-1155), and event indexing. — Experience with smart contract testing, auditing processes, and security best practices. — Strong communication skills and ability to collaborate effectively in a remote environment. — Ability to work independently and take ownership of projects from design through deployment. Preferred Qualifications — Experience building DeFi, NFT, staking, DAO, payment, or wallet-related Web3 products. — Experience working with Layer 2 networks such as Arbitrum, Optimism, Base, Polygon, or zkSync. — Familiarity with account abstraction, smart wallets, multi-signature wallets, or gasless transaction systems. — Experience with The Graph, blockchain indexers, or on-chain analytics platforms. — Experience contributing to open-source blockchain projects. — Familiarity with React, Next.js, or other modern frontend frameworks. Benefits — Fully remote work environment — Work from anywhere in the world — Competitive compensation — Flexible working hours — Opportunity to work on innovative blockchain and Web3 products — Collaborative and experienced engineering team

adjoe builds technologies behind mobile apps growth and monetization, leading in rewarded advertising with their product Playtime Arcade, connecting advertisers and publishers with over 770 million users annually. The Cloud Engineering team is responsible for the infrastructure supporting 5.5 billion daily ad requests, ensuring systems stay online, performant, and cost-efficient. They handle 400 million user events daily, traffic spikes of 150,000+ requests per second, and maintain a data lake for data scientists, BI, and real-time ML inference. The team runs Kubernetes with event-driven autoscaling and Karpenter, manages Kafka clusters for real-time streaming, and provisions infrastructure through Terraform. They prefer open-source alternatives over managed AWS services, using tools like Druid, Airflow, Grafana, Prometheus, Spark, Trino, MLFlow, Jupiter Hub, Elasticsearch, and Fluentbit to maintain a cloud-agnostic architecture. Cost efficiency is a key engineering constraint, including AI-based anomaly detection on infrastructure costs. Requirements: — 3+ years in DevOps, SRE, or Platform Engineering. — Experience designing and operating cloud infrastructure at scale. — Hands-on experience deploying and managing containerized applications in Kubernetes. — Experience with Kafka, Druid, Airflow, Spark, Terraform, and Gitlab on Kubernetes clusters. — Strong understanding of AWS services including EKS, DynamoDB, SNS, SQS, IAM, Lambda. — Infrastructure as code expertise with Terraform. — Knowledge of tradeoffs between managed AWS services and open-source alternatives. — Familiarity with microservice event-driven architecture, including topics, queues, and object storage. — Ability to support backend teams building high-performance Go services in distributed environments. — Experience building reliable, fast, predictable, and low-maintenance CI/CD pipelines. — Comfortable migrating workloads to self-hosted solutions and introducing new infrastructure tools. Relocation support to Hamburg, Germany is provided for candidates worldwide ready to join the team. Benefits: — Work on impactful infrastructure reaching hundreds of millions of users and powering billions of decisions daily. — Ownership of projects affecting 770 million users. — Fast-paced environment with multiple daily solution deployments. — Open problem solving and cross-team collaboration. — Diverse global team from over 40 countries. — Positive work culture celebrating wins and daily victories.

adjoe builds technologies behind mobile apps growth and monetization, leading in rewarded advertising with their product Playtime Arcade, connecting advertisers and publishers with over 770 million users annually. The Cloud Engineering team is responsible for the infrastructure supporting 5.5 billion daily ad requests, ensuring systems stay online, performant, and cost-efficient. They handle 400 million user events daily, traffic spikes of 150,000+ requests per second, and maintain a data lake for data scientists, BI, and real-time ML inference. The team runs Kubernetes with event-driven autoscaling and Karpenter, manages Kafka clusters for real-time streaming, and provisions infrastructure through Terraform. They prefer open-source alternatives over managed AWS services, using tools like Druid, Airflow, Grafana, Prometheus, Spark, Trino, MLFlow, Jupiter Hub, Elasticsearch, and Fluentbit to maintain a cloud-agnostic architecture. Cost efficiency is a key engineering constraint, including AI-based anomaly detection on infrastructure costs. Requirements: — 3+ years in DevOps, SRE, or Platform Engineering. — Experience designing and operating cloud infrastructure at scale. — Hands-on experience deploying and managing containerized applications in Kubernetes. — Experience with Kafka, Druid, Airflow, Spark, Terraform, and Gitlab on Kubernetes clusters. — Strong understanding of AWS services including EKS, DynamoDB, SNS, SQS, IAM, Lambda. — Infrastructure as code expertise with Terraform. — Knowledge of tradeoffs between managed AWS services and open-source alternatives. — Familiarity with microservice event-driven architecture, including topics, queues, and object storage. — Ability to support backend teams building high-performance Go services in distributed environments. — Experience building reliable, fast, predictable, and low-maintenance CI/CD pipelines. — Comfortable migrating workloads to self-hosted solutions and introducing new infrastructure tools. Relocation support to Hamburg, Germany is provided for candidates worldwide ready to join the team. Benefits: — Work on impactful infrastructure reaching hundreds of millions of users and powering billions of decisions daily. — Ownership of projects affecting 770 million users. — Fast-paced environment with multiple daily solution deployments. — Open problem solving and cross-team collaboration. — Diverse global team from over 40 countries. — Positive work culture celebrating wins and daily victories.

Требования: — 8+ лет опыта фронтенд-разработки — Эксперт в Next.js, React.js, TypeScript и JavaScript — Опыт руководства крупными проектами и фронтенд-командами — Глубокие знания RESTful API, GraphQL и CI/CD процессов — Хорошие навыки общения на английском языке — Опыт в гемблинге или iGaming будет плюсом Задачи: — Руководство архитектурой фронтенда и технической стратегией — Разработка и поддержка высокопроизводительных веб-приложений — Проведение код-ревью и обеспечение лучших инженерных практик — Оптимизация производительности, масштабируемости и пользовательского опыта — Тесное взаимодействие с командами продукта, дизайна и бэкенда Условия: — Перелёт за счёт компании — Визовая поддержка — Бесплатное проживание — Локация: Ереван, Армения — Зарплата обсуждается индивидуально, зависит от опыта и квалификации

Инновационная AI-платформа анализа геополитических и рыночных данных в реальном времени, обрабатывающая информацию из более чем 2000 первоисточников на разных языках (китайский, арабский, русский и др.). О роли: Мы ищем опытного Senior Java-разработчика, который возглавит масштабирование и оптимизацию нашего ядра агрегации данных. Вам предстоит проектировать высоконагруженные пайплайны, которые в реальном времени собирают миллионы текстовых данных, отправляют их на обработку нашим AI-моделям трансляции и анализа сентимента, а затем мгновенно доставляют инсайты клиентам. Основные задачи: • Проектирование архитектуры: Разработка масштабируемых, отказоустойчивых бэкенд-сервисов на Java; • Потоковая обработка данных (Stream Processing): Оптимизация систем сбора новостей и рыночных метрик в реальном времени; • Интеграция с AI/ML: Разработка эффективных API-прослоек для интеграции Java-сервисов с внутренними языковыми моделями (LLM) и инструментами NLP (перевод, извлечение сущностей, анализ тональности); • Оптимизация производительности: Поиск «узких мест» (bottlenecks), оптимизация работы с базами данных, снижение задержек (low-latency processing). Наш технологический стек: • Язык: Java 17+ (Spring Boot / Spring Cloud); • Big Data & Streaming: Apache Kafka / Pulsar, Apache Flink / Spark Streaming; • Базы данных: NoSQL (Elasticsearch/OpenSearch для мультиязычного поиска, MongoDB), SQL (PostgreSQL), Кэширование (Redis); • Инфраструктура: AWS (EC2, S3, EKS), Docker, Kubernetes, CI/CD pipelines. Что мы ждем от кандидата: • Опыт: От 5-6 лет коммерческой разработки коммерческого ПО на Java; • Highload: Уверенные знания concurrency, многопоточности и проектирования систем распределенных вычислений; • Работа с данными: Глубокое понимание принципов работы очередей сообщений (Kafka) и поисковых движков (Elasticsearch); • Язык: Английский язык на уровне Upper-Intermediate (B2) и выше для ежедневной коммуникации с распределенной международной командой; • Плюсом будет: Опыт работы в FinTech / RegTech проектах, парсинге веб-ресурсов или интеграции ML-моделей в продакшн (MLOps). Что мы предлагаем: • Гибкость: Полностью удаленный формат работы из любой точки мира; • Технологически сложный продукт: Работа на стыке Big Data, AI и глобальной рыночной аналитики; • Влияние на продукт: Минимум бюрократии, плоская структура и возможность напрямую влиять на архитектурные решения; • Профессиональный рост: Оплата профильного обучения, курсов и участия в международных конференциях; • Пакет: Конкурентная заработная плата (по результатам технического интервью) + опционы компании (Equity) для ключевых сотрудников.

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: — Сбор и анализ данных, проведение feature engineering. — Обучение ML-моделей на табличных данных и их вывод в продакшн. — Автоматизация пайплайнов сбора данных и моделирования. — Улучшение ценообразования в ЖД-направлении, автобусах, электричках и аренде авто с помощью ML. — Подготовка отчетности и презентация итогов работы бизнес-заказчикам. Требования: — Опыт работы в Data Science не менее 3 лет. — Опыт решения задач в ценообразовании, предиктивной аналитике, uplift-моделировании или ранжировании. — Владение стеком: Python, SQL, ClickHouse, S3, FastAPI. — Опыт работы с Feature Store / Feast. Условия: — Гибкий выбор формата работы: офис, гибрид или full remote. — Работа в структурированной команде (DS, MLOps, Lead) с использованием OKR для синхронизации целей. — Регулярные планирования и синки для прозрачности процессов. — Ценности команды: вовлечённость, инициативность и ответственность.

Задачи: — Определять видение продукта и дорожную карту для Agentic IDEs и CLI с целью перехода команд на AI-управляемую генерацию функций. — Проводить глубокие исследования пользователей по всему миру для выявления проблем в опыте разработчиков. — Определять и отслеживать метрики успеха, включая скорость PR, время выхода на рынок и соотношение кода, написанного человеком и AI. — Сотрудничать с инженерной командой для приоритизации интеграций внутренних источников данных в агентскую экосистему. — Руководить стратегиями выхода на рынок и внутреннего внедрения, включая программы повышения квалификации и обратную связь. — Согласовывать с техническим руководством соответствие агентского стека стандартам безопасности, надежности и масштабируемости. Требования: — Опыт в управлении продуктом, желательно в области инструментов для разработчиков, внутренних платформ или B2B SaaS. — Глубокое понимание современных рабочих процессов разработки, включая Git, CI/CD и среды IDE. — Базовое понимание больших языковых моделей и агентских рабочих процессов. — Умение принимать решения на основе данных для приоритизации задач и стимулирования внедрения. — Способность понятно и убедительно доносить технические концепции до различных заинтересованных сторон. — Обязательное проживание или готовность к переезду в Берлин для гибридной работы. Условия: — Гибридный формат работы: 2 дня в неделю в офисе в Берлине. — 27 дней ежегодного отпуска с увеличением в зависимости от стажа. — Годовой образовательный бюджет 1000 € и доступ к Udemy Business. — Комплексные медицинские льготы, включая обследования, субсидии на спортзал/велосипед и поддержку медитации. — Финансовые бонусы: программа покупки акций сотрудниками, корпоративная пенсия, скидки на общественный транспорт. — Цифровые обеды и корпоративные скидки на питание.

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are looking for a Senior Staff Software Engineer to join the OEX Mobile Growth team — a pure mobile team sitting at the intersection of engineering rigour, consumer growth craft, and product instinct. This is not a feature delivery role. You will sit upstream of requirements, shape initiatives alongside product and business stakeholders, and own the engineering end-to-end on growth bets that move real metrics for millions of users. The ideal profile combines a solid engineering foundation, hands-on growth experience serving mobile users, and the conviction to bring proposals, not just execute them. What You'll Be Doing Own the full engineering lifecycle of mobile growth initiatives - from shaping the brief with product and business through to production launch and iteration. Build and optimise growth systems - including funnel instrumentation, referral mechanics, acquisition loops, and experiment frameworks — directly serving the mobile user base. Collaborate closely with Product Manager, Business Development, and local market teams across multiple regions to translate commercial goals into concrete, data-backed engineering proposals. Apply AI coding tools actively in your workflow to accelerate development, improve code quality, and bridge across tech stacks where needed. Drive technical decision-making on growth infrastructure, articulating trade-offs clearly and defending or revising your positions based on evidence. Mentor engineers on the team and help establish a culture where engineers bring solutions, not just responses. What We Look For In You 8+ years of software engineering experience with a track record of shipping production-quality systems at scale. Hands-on growth engineering experience — funnel optimisation, experiment frameworks, acquisition or referral systems — in a consumer-facing (ToC) product context. Understanding of mobile users: how they behave, what drives retention and conversion, and how mobile-native growth mechanics differ from web. Actively uses AI tools as a core part of your engineering workflow — not just for code generation, but for building repeatable workflows and bridging across stacks. Outspoken and proposal-driven: you come to the table with a point of view, push back when you disagree, and bring data and a counter-proposal rather than just flagging concerns. Strong cross-functional communication — comfortable working with Product Manager, Business Development, and local markets to align on goals and hold the line on engineering quality. Data instincts: you think in funnels, know how to instrument what matters, and use metrics to drive decisions. Nice-To-Haves Mobile development experience in iOS (Swift/Objective-C) or Android (Kotlin/Java) — or backend experience building growth systems that serve mobile apps directly (e.g. growth APIs, attribution pipelines, notification infrastructure). Experience with Rust or other systems languages — especially candidates who have recently migrated from mobile-native stacks and are building fluency in backend tooling. Depth in mobile attribution and MMPs (AppsFlyer, Adjust, SKAdNetwork). ASO operational experience (App Store Connect, Google Play Console). Experience building referral systems, k-factor mechanics, or anti-fraud layers. Background in fintech, crypto, or regulated consumer financial products. Experience operating across US, EEA, and APAC markets. A/B experiment framework ownership at meaningful scale. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-ML1 #LI-ONSITE Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

О компании: Мы — продуктовая fintech IT-компания, победитель Finnext 2026 и «Стартап года» по версии Forbes. Наш продукт — «Плати по миру»: моментальный выпуск виртуальных карт для оплаты зарубежных сервисов, подписок и трансграничных платежей. Мы строим AI-first компанию без бюрократии, где инженеры напрямую влияют на архитектуру и продукт. Задачи: • Проектировать и развивать backend-платформу; • Принимать архитектурные решения; • Оптимизировать производительность систем и работу с базами данных; • Участвовать в развитии продукта вместе с core-командой. Требования к кандидату: • Обязателен опыт работы в сфере финтех / payments и понимание специфики платежной инфраструктуры; • Опыт коммерческой разработки на PHP от 4 лет; • Уверенное владение Laravel как основным стеком последние 3 года; • Опыт работы с высоконагруженными системами (Highload); • Глубокие знания PostgreSQL: проектирование, оптимизация, сложные запросы; • Понимание архитектуры API и принципов построения масштабируемых систем; • Написание чистого кода и покрытие его тестами. Условия: • Комфортный офис в центре Москвы или Санкт-Петербурга; • Предоставление техники Apple + доступ к современным AI-инструментам; • Расширенный полис ДМС со стоматологией; • Выделенный бюджет на профессиональное обучение и профильные конференции; • Корпоративный английский язык; • Высокий уровень самостоятельности и отсутствие бюрократии. Компания всегда открыта к диалогу по условиям: финальный размер компенсации обсуждается индивидуально с успешным кандидатом.

Задачи: — Разработка и развитие backend-сервисов на Go; — Проектирование микросервисной архитектуры; — Реализация event-driven взаимодействия между сервисами (Pub/Sub, очереди); — Работа с WebSocket-соединениями и real-time потоками данных; — Проектирование и реализация gRPC API; — Разработка логики финансовых расчётов (decimal-арифметика, точность, атомарность операций); — Обеспечение ACID-гарантий и атомарных транзакций; — Оптимизация производительности и снижение latency; — Работа с нагрузкой 1000+ TPS в пиковых значениях; — Проектирование схем баз данных и оптимизация запросов; — Участие в решении задач масштабирования и отказоустойчивости; — Написание unit и integration тестов; — Участие в code review и технических обсуждениях. Требования: — 5+ лет коммерческой backend-разработки (из них 3+ лет конкретно на Go); — Глубокое понимание concurrency в Go (goroutines, channels, context); — Понимание принципов микросервисной архитектуры; — Опыт построения event-driven систем; — Опыт работы с очередями и брокерами сообщений; — Уверенная работа с MySQL (индексы, транзакции, оптимизация); — Понимание финансовой арифметики (decimal, точность вычислений, отсутствие float-ошибок); — Опыт работы с Redis; — Понимание принципов построения low-latency систем; — Опыт работы с Docker и Git; — Уверенная работа в Linux-окружении. Будет плюсом: — Опыт работы в доменах: CEX, DEX, Market making, Fintech, Payments; — Опыт работы с высоконагруженными системами (1000+ TPS); — Опыт построения real-time систем (WebSocket, streaming); — Опыт работы с gRPC; — Понимание circuit breaker, retry-политик, backoff-стратегий; — Опыт внедрения мониторинга (Prometheus, Grafana); — Понимание принципов горизонтального масштабирования; — Опыт работы с Kubernetes. Условия: — Полностью удалённый формат работы из любой точки мира; — Участие в разработке сложного высоконагруженного продуктового решения; — Реальная инженерная свобода и прямое влияние на архитектуру; — Комфортные варианты выплат в USD / USDT / RUB.

Location: Krakow, Poland; Krosno, Poland; Lublin, Poland; Poland; Poznan, Poland; Warsaw, Poland; Pilsen, Czechia; Praha, Czechia; Riga, Latvia; Vilnius, Lithuania; Athens, Greece; Crete, Greece; Budapest, Hungary; Miskolc, Hungary; Brussels, Belgium; Liège, Belgium; Mons, Belgium; Namur, Belgium; Sofia, Bulgaria; Bordeaux, France; Grenoble, France; Lille, France; Lyon, France; Montpellier, France; Nantes, France; Paris, France; Toulouse, France; Baden-Baden, Germany; Bad Homburg, Germany; Augsburg, Germany; Aachen, Germany; Bergisch Gladbach, Germany; Berlin, Germany; Bernau, Germany; Bielefeld, Germany; Bramsche, Germany; Chemnitz, Germany; Darmstadt, Germany; Dresden, Germany; Dusseldorf, Germany; Düsseldorf, Germany; Essen, Germany; Frankfurt, Germany; Freiburg, Germany; Geoergsmarienhütte, Germany; Görlizt, Germany; Göttingen, Germany; Greifswald, Germany; Halle, Germany; Hamburg, Germany; Hannover, Germany; Heinsberg, Germany; Karlsruhe, Germany; Kiel, Germany; Koln, Germany; Leipzig, Germany; Leverkusen, Germany; Lingen, Germany; Magdeburg, Germany; Mainz, Germany; Mittenwalde, Germany; Munich, Germany; Münster, Germany; Neu-Ulm, Germany; Neuruppin, Germany; Neuss, Germany; Nuremberg, Germany; Osnabrück, Germany; Paderborn, Germany; Potsdam, Germany; Quedlinburg, Germany; Rimbach, Germany; Rostock, Germany; Schwerin, Germany; Stuttgart, Germany; Ulm, Germany; Varel, Germany; Viechtach, Germany; Warendorf, Germany; Wiesbaden, Germany; Wuppertal, Germany; Lisbon, Portugal; Porto, Portugal; Zagreb, Croatia; Sarajevo, Bosnia and Herzegovina Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking an Senior AI DevOps / LLMOps specialist to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Key Responsibilities Automation of Build-to-Production - Design and implement robust CI/CD pipelines tailored for AI, covering model weights, dataset versioning, and application code. - Develop specialized workflows for PromptOps, ensuring that system prompts are version-controlled, tested for regressions, and deployed with the same rigor as traditional code. -Automate the deployment of Agentic workflows, managing the complexities of stateful AI interactions and multi-agent handoffs. 2. AI Infrastructure as Code (IaC) - Provision and manage high-performance compute environments (GPU clusters, TPU pods) using Terraform, Pulumi, or Ansible. - Define and enforce Policy-as-Code for AI endpoints to ensure compliance with security, cost-usage limits, and data residency requirements. - Maintain a consistent environment across Hybrid Infrastructure, ensuring seamless parity between On-Premises development and Cloud production. 3. Safe Experimentation & Controlled Releases - Architect Progressive Delivery strategies for AI, including Canary releases, Blue-Green deployments, and Shadowing (where new models run in parallel with production to compare outputs). - Build “Evaluation-in-the-Loop” gates within the pipeline to automatically test for bias, hallucination, and performance degradation before a release. - Implement A/B testing frameworks specifically designed for LLM outputs and agentic behavior. 4. Monitoring & Observability - Establish deep observability into Inference Endpoints, tracking metrics like tokens-per- second, latency, and drift in model accuracy. -Integrate feedback loops that capture production “edge cases” to feed back into the training and fine-tuning pipelines. Must-Have Technical Skills: -Orchestration: Advanced Kubernetes (K8s) skills, specifically with KubeFlow, Ray, or NVIDIA Triton. -CI/CD & IaC: Expertise in GitHub Actions/GitLab CI, and Terraform or Pulumi. - AI Tooling: Experience with Weights & Biases, MLflow, LangSmith, or Arize Phoenix. -Hardware: Understanding of GPU virtualization, CUDA drivers, and on-premises hardware management. -Security: Familiarity with Open Policy Agent (OPA) and secret management (Vault). Experience: - 10+ years in DevOps, SRE, or Cloud Engineering. - 2+ years of hands-on experience in MLOps or LLMOps, specifically moving LLMs from notebook to production. -Proven experience managing Hybrid Cloud environments (e.g., AWS/Azure + Private Data Center).

Location: Warsaw, Poland 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 Product Designer to join our rapidly expanding team to assist with the entire design process, execute excellent UX flows, apply visual design systems, prototype using a variety of tools and methods, create production-ready designs, conduct usability testing and support implementation. The successful candidate will be responsible to improve existing product designs and analyze market standards to produce high quality and performance outcomes. 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? Translate complex user needs and business goals into clear, intuitive product experiences across web and mobile applications. Develop user flows, interaction models, wireframes, and polished visual designs that support seamless and engaging experiences. Build and iterate on interactive prototypes to test and communicate design ideas effectively. Create and maintain consistent design systems and reusable UI components to ensure scalability and coherence across products. Collaborate closely with Product team, developers, and other stakeholders to ensure design intent is carried through to implementation. Provide design leadership across product initiatives, helping define UX strategy and ensuring a consistent user experience across the product portfolio. Facilitate design reviews and cross-functional discussions to align teams and drive decision-making. Mentor and support team members, promoting design best practices, providing constructive feedback and helping raise the overall quality of design within the team. Lead and participate in user research, competitor analysis to uncover insights, validate assumptions, and inform design strategies. Use product analytics, customer feedback, and usability testing to evaluate and refine your designs post-launch. Present your work clearly and explain the rationale behind design decisions. Balance multiple initiatives while managing timelines, feedback loops, and evolving priorities. Stay current with industry best practices in UX/UI, accessibility, and responsive design Manage multiple design initiatives simultaneously, adapting quickly to shifting priorities and tight timelines in a fast-paced environment. What do you need to succeed in this role? Excellent communication, collaboration, and stakeholder management skills, with the ability to present and defend design decisions effectively in English. Proven track record of creating user-centric designs that drive engagement, conversion, and measurable business outcomes. 5+ years of experience in Product Design, UX/UI Design, with experience leading complex design initiatives. Strong experience in: Creating and analyzing user personas, customer journeys, wireframes, and interactive prototypes. Building user flows, translating requirements into design solutions, and working closely with Product and Engineering teams throughout the delivery lifecycle. Conducting user research, usability testing, and applying data-driven insights to improve product experiences. Advanced proficiency in design and prototyping tools (Figma preferred; experience with other design tools is a plus). Solid front-end development experience with the ability to prototype, validate and collaborate effectively with engineering teams. Previous experience designing and delivering mobile-first and responsive web experiences. Strong interest in AI-powered product development and experience leveraging AI tools to accelerate research, ideation, prototyping, content generation, and design workflows. Ability to help establish and drive AI-enabled design practices within the Product Design team, identifying opportunities to improve efficiency, quality and innovation through AI. Experience creating and maintaining scalable design systems and reusable component libraries. Ability to mentor other designers and contribute to the growth of design processes, standards, and culture. 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”. Hybrid Work Flexibility. Multiple events to bond with the team and the group. Birthday and Loyalty benefits . 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: 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 Product Designer to join our rapidly expanding team to assist with the entire design process, execute excellent UX flows, apply visual design systems, prototype using a variety of tools and methods, create production-ready designs, conduct usability testing and support implementation. The successful candidate will be responsible to improve existing product designs and analyze market standards to produce high quality and performance outcomes. 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? Translate complex user needs and business goals into clear, intuitive product experiences across web and mobile applications. Develop user flows, interaction models, wireframes, and polished visual designs that support seamless and engaging experiences. Build and iterate on interactive prototypes to test and communicate design ideas effectively. Create and maintain consistent design systems and reusable UI components to ensure scalability and coherence across products. Collaborate closely with Product team, developers, and other stakeholders to ensure design intent is carried through to implementation. Provide design leadership across product initiatives, helping define UX strategy and ensuring a consistent user experience across the product portfolio. Facilitate design reviews and cross-functional discussions to align teams and drive decision-making. Mentor and support team members, promoting design best practices, providing constructive feedback and helping raise the overall quality of design within the team. Lead and participate in user research, competitor analysis to uncover insights, validate assumptions, and inform design strategies. Use product analytics, customer feedback, and usability testing to evaluate and refine your designs post-launch. Present your work clearly and explain the rationale behind design decisions. Balance multiple initiatives while managing timelines, feedback loops, and evolving priorities. Stay current with industry best practices in UX/UI, accessibility, and responsive design Manage multiple design initiatives simultaneously, adapting quickly to shifting priorities and tight timelines in a fast-paced environment. What do you need to succeed in this role? Excellent communication, collaboration, and stakeholder management skills, with the ability to present and defend design decisions effectively in English. Proven track record of creating user-centric designs that drive engagement, conversion, and measurable business outcomes. 5+ years of experience in Product Design, UX/UI Design, with experience leading complex design initiatives. Strong experience in: Creating and analyzing user personas, customer journeys, wireframes, and interactive prototypes. Building user flows, translating requirements into design solutions, and working closely with Product and Engineering teams throughout the delivery lifecycle. Conducting user research, usability testing, and applying data-driven insights to improve product experiences. Advanced proficiency in design and prototyping tools (Figma preferred; experience with other design tools is a plus). Solid front-end development experience with the ability to prototype, validate and collaborate effectively with engineering teams. Previous experience designing and delivering mobile-first and responsive web experiences. Strong interest in AI-powered product development and experience leveraging AI tools to accelerate research, ideation, prototyping, content generation, and design workflows. Ability to help establish and drive AI-enabled design practices within the Product Design team, identifying opportunities to improve efficiency, quality and innovation through AI. Experience creating and maintaining scalable design systems and reusable component libraries. Ability to mentor other designers and contribute to the growth of design processes, standards, and culture. 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: 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: Malaysia Top 3 Reasons To Join Us Competitive Salary 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world What You Will Do: Work with clients and technical resources to identify their business problems and develop the right approach and analytical solution Plan and design simple to semi-complex business processes and system modifications Make recommendations to improve and support business activities Gather business requirements through a variety of techniques such as work sessions and interviews then analyze and document client complex business requirements and processes; communicate these requirements to appropriate parties Create complex test case scenarios to be used in testing; monitor/oversee the testing of business applications to verify that all client requirements are incorporated into the system design Develop business requirements documents/user stories to support the required modifications May plan, allocate and monitor work of other business analysts Understand simple to complex systems and related data to surface actionable insights, demonstrate sound judgment and decision-making skills Assist in providing time estimates for project related tasks Aid in updating process and procedural documentation Develop basic understanding of technical development cycle of mobile application or web portals Support QA, UAT and Release phases of the project via defect analysis, change maintenance, etc. Any other task that may be assigned What We Need: Minimum 5 years of experience as Business Analyst A degree in Business, IT or any relevant field Previous experience working in the health insurance industry is required Insurtech experience is preferred Health Insurance-related domain certification from INS/LOMA or III is an added advantage Knowledge of business analysis concepts of defining requirements, translating to technical solutions, and Agile approach to prioritizing work to epics, sprints Business analysis skills including facilitation, process documentation, requirements gathering and user acceptance testing Good organizational/time management skills to prioritize work and meet deadlines within defined timeframes Experience in an Agile and/or Scrum environment is a must Basic knowledge in generating process documentation, and document system functionality, data integration, and workflow Excellent written and verbal communication skills in English Technical writing skills is a plus Why You'll Love Working Here Fully Remote Flexible Leave International Environment Competitive renumeration package Performance Bonus Company activities and events Learning and development plan Remote work allowance CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Munich, Germany; Berlin, Germany What client look for: You apply statistical, machine learning, and Generative AI techniques to solve business problems and generate actionable insights. You analyse and synthesise complex datasets, incorporating unstructured data and GenAI outputs into clear visualisations and narratives. You collaborate with cross-functional teams and clients to design data-driven and GenAI-enabled solutions. You build, test, and deploy models, including prompt-based and LLM-powered applications. You translate analytical and Generative AI outputs into actionable recommendations for stakeholders. You guide less experienced team members and contribute to best practices in analytics and AI. Requirements What the client requires: You hold a Bachelor’s or Master’s degree in a quantitative field such as Data Science, Computer Science, Mathematics, or Engineering. You have 2–6 years of experience in data science, machine learning, or advanced analytics, including exposure to Generative AI. You have strong programming skills in Python and are familiar with ML and LLM frameworks such as Scikit-learn, LangChain, or Hugging Face. You have a solid understanding of machine learning techniques and Generative AI use cases. You are able to work in client-facing environments and communicate complex topics clearly. You are fluent in English; additional local language skills are a plus. Benefits What you can expect: Your impact is crucial : You actively shape the digital future in a highly motivated & smart team in direct cooperation with the founders & partners, creating real added value by linking strategy and implementation. Your hard work pays off! You benefit from attractive salary packages, participation in sales success, and exclusive investment opportunities. In addition, we promote our top talents through the 'Digital Leaders of Tomorrow' program and thus offer you further exciting benefits. Your development: From day one, you will be supported on your journey through a wide range of development opportunities, quickly take on responsibility and have the opportunity to shape your individual career at the company. You will become a digital leader! Your working environment: You will be immersed in a diverse and family-friendly environment with a strong team spirit, benefitting from a flexible and hybrid working model in one of our offices in Munich, London, Amsterdam, Milan, and Berlin. Your view into the future: You will work at the cutting edge and gain valuable insights and practical experience with a focus on digital business models and data-driven value creation in eight forward-looking industries. Your benefits on top: You can look forward to regular team events and joint sports sessions, an attractive company pension scheme, access to local fitness and wellness partnerships, as well as mobility and meal allowances, and a wide range of other company benefits.