Вакансии

Задачи: — Выполнять ручное тестирование функций, исправлений и релизов в процессе разработки — Писать, проверять и выполнять тест-кейсы — Выявлять, документировать и отслеживать баги — Сотрудничать с разработчиками и другими членами команды для решения проблем — Проводить регрессионное и пострелизное тестирование — Обеспечивать качество продукта и соответствие требованиям — Использовать AI-инструменты (например, ChatGPT) для помощи в тестировании, написании тест-кейсов и анализе проблем Требования: — Базовый практический опыт в QA (курсы, пет-проекты или коммерческий опыт) — Понимание основ QA (тест-кейсы, жизненный цикл багов и т.д.) — Внимательность к деталям и аналитическое мышление — Уровень английского B2 или выше (чтение и письмо) — Умение работать самостоятельно и в команде Плюсы: — Опыт работы с Shopify — Знакомство с Agile/Scrum — Опыт работы с системами отслеживания багов (JIRA или аналогичные) Условия: — Полностью удалённая работа — Гибкий график — Зарплата два раза в месяц (каждый платёж 50%) — 20 рабочих дней оплачиваемого отпуска (4 недели) — 10 оплачиваемых дней больничного — Возможность профессионального роста в QA и работы с реальными eCommerce проектами

Задачи: — обработка Excel, PDF и сканов; — извлечение и нормализация данных; — сопоставление данных и поиск расхождений; — интеграция OCR и Document AI; — использование LLM для интерпретации данных; — разработка backend/API; — участие в архитектуре MVP; — работа с обезличенными финансовыми документами. Требования: — Python от 3 лет; — pandas, Excel/CSV; — парсинг PDF; — backend и REST API; — алгоритмы matching, нормализации и очистки данных; — Git; — умение самостоятельно проектировать решения. Будет плюсом: OCR, PyMuPDF, pdfplumber, Camelot, Tabula, fuzzy matching, Document AI, OpenAI/Azure OpenAI/YandexGPT, reconciliation, On-Premise.

Location: Russia; Moscow; Perm Workplace: remote About Xsolla Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. About the Role We are hiring a Staff Software Engineer to own the smart wallet and account abstraction layer of XsollaZK, Xsolla's Web3 platform on a zkSync-based L2. This is an individual contributor role with a large technical scope. You are the technical anchor for how millions of players get an on-chain account they never have to think about. The product. Every player who signs in with Xsolla ID receives a deterministic, non-custodial smart account. The account is derived from their identity claim, is identical on every device, and its private keys never leave the client. It is not a separate wallet screen: it is the player's inventory. It backs: minting and gifting; trading on our Bazaar marketplace; Merkle-based reward airdrops; gas sponsorship; an in-app dApp browser that exposes the same signer to third-party applications through an EIP-1193 provider. Responsibilities The technical strategy and architecture of the smart wallet platform: account model, signing, session management and gas abstraction at scale The smart account and permissioning model, evolved to meet both product and compliance needs The security model where our signer meets third-party applications: what a player is actually approving, and proof that the UI shows it The custody and recovery roadmap, from today's interim mechanisms (including raw key export) to MPC -based custody Cross-team technical decisions on account architecture, SDK contracts, data modeling and platform reliability, with buy-in from the wallet, marketplace, SDK, mobile and security teams Engineering standards in the Web3 domain Production escalations in the wallet and account abstraction domain WHAT YOU WILL DO Design and evolve the ERC -4337 user operation lifecycle (prepare → sign → submit → confirm), EIP -7702 delegation, deterministic address derivation from identity, and the session-key and permission primitives (including origin-bound Smart Sessions) that let players act without a prompt on every transaction Set the paymaster and gas-sponsorship strategy: what we sponsor, how we meter and cap it, how we defend it from abuse, and how it degrades when sponsorship is unavailable Define EIP -1193 / EIP -6963 provider behavior, origin-bound and policy-versioned sessions, trust tiers, and the transaction and signature confirmation flow Design recovery paths (passkeys, guardians, social recovery) that a non-crypto-native player can complete without losing assets Identify systemic risks (key management, signature phishing, reorgs and indexer staleness, bundler and RPC dependencies, contract upgrade paths) and lead initiatives that resolve them before they become incidents Write RFCs and design docs; review critical code, contracts and designs Work with product, security, legal and infra teams to align on the roadmap and turn business and regulatory needs into well-scoped technical plans Create leverage for the engineering org through documentation, tooling and mentorship Serve as the escalation point for complex production issues: a stuck user operation, a drained paymaster, a signing prompt a player didn't understand Set up and maintain AI tooling in the repositories (Claude Code, Codex, Cursor: rules, context, harness) so the team uses it effectively REQUIRED Experience 8+ years of engineering in the Ethereum ecosystem working with crypto wallets and smart wallets Designing or operating a production smart wallet or account abstraction system serving real users and real value Shipping and operating systems where a bug meant lost funds. You can talk concretely about the guardrails, reviews and rollback paths you put in place Account abstraction and smart wallets ERC -4337 in depth: EntryPoint (v0.6 through v0.8), the UserOperation lifecycle, bundler and paymaster roles, validation rules ( ERC -7562), gas estimation and its failure modes, counterfactual deployment, signature validation for undeployed accounts ( ERC -6492) EIP -7702 and the post-Pectra landscape: EOA delegation, its interaction with EntryPoint v0.8, and the risks it introduces (residual key authority, delegation phishing, storage collisions) Building on or extending production smart account implementations; modular account standards ( ERC -7579 / ERC -6900) Session keys and delegated permissions: scoped, time-limited, policy-bound authority; TTLs and contract allowlists, origin binding, permission revocation; ERC -7710 / ERC -7715 Signature schemes and wallet interfaces: EIP -712 typed data, ERC -1271 contract signatures, WebAuthn / passkey (P-256) signers; EIP -1193, EIP -6963, EIP -5792 batched calls, ERC -7677 paymaster interfaces Smart contracts and EVM Solidity and the EVM : reading, reviewing and writing account, paymaster and module contracts; gas-aware design; upgradeability and migration patterns; working effectively with external auditors L2 specifics and their effect on wallet design: native account abstraction on zkSync-family chains, transaction and fee models, finality and reorg behavior, RPC and indexer semantics Backend Go: idiomatic code, concurrency patterns, performance profiling TypeScript and SDK design: client-side SDK surfaces that internal and external teams build on Distributed systems and their trade-offs (consistency, availability, failure modes); reconciling off-chain state against an authoritative on-chain result Data and infrastructure PostgreSQL: schema design, query optimization, migrations at scale Kubernetes: deploying, operating and debugging services Asynchronous messaging and event-driven design (Kafka or NATS ): consumer groups, at-least-once delivery Git, CI/CD Security Key management in production: platform secure storage (Keychain / Keystore), HSMs, MPC or threshold signing, and the operational discipline around each Wallet threat modeling: signature and delegation phishing, malicious dApp origins, replay and cross-chain replay, token approval abuse, paymaster griefing and DoS Leadership Leading multi-quarter technical initiatives across teams Influencing architecture and standards beyond your immediate team RFCs and design docs that stand on their own and are actionable without you in the room AI-assisted engineering Daily hands-on use of AI coding tools (Claude Code, Codex, Cursor) for development and review, including configuring them for a repository English English at C1 level Nice to Have Hands-on experience with ZK Stack and zk -rollups Hands-on experience with embedded and ecosystem wallet and AA infrastructure technologies (thirdweb, Privy, Dynamic, Turnkey, Pimlico, Alchemy, Biconomy, ZeroDev, Safe{Core}), with clear views on build versus buy MPC / threshold custody, social recovery or guardian-based recovery in a consumer product NFT and token infrastructure at scale: ERC -721 / ERC -1155 / ERC -20 mechanics, marketplace contracts, Merkle-based airdrop and claim distribution, chain indexing services Contributions to open-source wallet, security or identity projects, including authoring or reviewing ERC / EIP standards Compliance requirements for crypto consumer products: KYC / AML , geofencing, MiCA , SOC 2, ISO 27001, GDPR data minimization, audit logging Identity and auth integration for wallet derivation: OAuth 2.0 / OIDC , JWT verification, token scoping Platform or infrastructure engineering: building systems other engineers build on Owning a mobile wallet surface: React Native / Expo, WebView provider injection, native signing UI Gaming industry experience: platforms for game developers, publishers or players How We Work Decisions in writing. Significant technical decisions are written up as an RFC or ADR that lays out the options and trade-offs. We work across time zones, so a design has to stand on its own. AI is part of everyday engineering. We use AI coding tools for development and review, and we treat configuring them for a codebase as real engineering work. HOW WE HIRE Intro call. Your background, your motivation and the role. Technical interview. Built directly on the What you will own and Required sections above. We won't ask about anything this posting doesn't promise. System design. You design part of a wallet or account abstraction platform end to end and walk us through the trade-offs. Bar raiser. An engineer from outside the hiring team checks that you raise the overall engineering bar. Benefits We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we're not just building a business; we're cultivating a community that values creativity, collaboration, and the transformative power of play. EMPLOYMENT DETAILS Location: Remote  Employment Type: Full-time Schedule: 10:00–19:00 (flexible)

Требования: — Опыт работы в роли тестировщика в проектах по функциональному тестированию ПО; — Опыт работы с языками программирования Python; — Опыт автоматизации тестирования: актуализация существующих автоматизированных тестов и запуск тестов; — Опыт подготовки отчетов по результатам тестирования; — Опыт настройки тестовых сред: установка прикладного программного обеспечения, и конфигурирование; — Практический опыт автоматизации тестирования с использованием инструментов Selenium, или HP UFT, или Cucumber, или Junit, или TestNG, или Espresso, или Earl Grey, или API, или TestСomplete; — Опыт работы с SQL (составление запросов различной сложности и объединение нескольких таблиц – от 3-х и более, вложенные запросы, и фильтрация по нескольким полям); — Практический опыт интеграционного тестирования программного обеспечения и использования инструментов API тестирования (SoapUI, или rfhutil, или MQ, или Fiddler); — Практический опыт функционального и интеграционного тестирования сервисных шин и процессов интеграции данных; — Практический опыт тестирования баз данных (Oracle, или MySQL, или MS SQL, или PostgreSQL, или GRID, или Firebird); — Практический опыт чтения и редактирования, и анализа ошибок XML\HTML кода (Altova XMLSpy или аналогичные); — Опыт использования в работе паттерна Page Object; — Практический опыт разработки эмуляторов/заглушек.

Задачи: — Развитие собственной линейки продуктов — Устранение уязвимостей — Расширение функционала до уровня Enterprise решений — Обеспечение своевременной, надежной и качественной поддержки Требования: — Опыт тестирования бэкенда в IT-проектах от 4–5 лет, из них не менее 3 лет в банковской сфере (процессинг, кредитные конвейеры, ДБО) — Глубокое знание REST API: проектирование и декомпозиция тестовых сценариев на основе OpenAPI / Swagger — Проверка status code, структуры ответов, заголовков, rate-limiting — Владение SQL (PostgreSQL): написание сложных запросов с JOIN — Опыт работы с брокером сообщений Kafka: проверка событийной модели (producer/consumer) — Понимание микросервисной архитектуры: тестирование согласованности данных между сервисами — Опыт работы с контейнеризацией и окружениями: Docker, Kubernetes (понимание подов, сервисов) — Навыки работы с логированием и трейсингом: Kibana / ELK, OpenTelemetry / Jaeger — поиск «упавшей» транзакции по trace-id — Опыт с BPM-оркестраторами (Camunda) — проверка workflow длительно выполняющихся процессов Условия: — Формат работы: удалённо — Занятость: полная — Трудоустройство: ИП

Задачи: — Разрабатывать функционал на Ruby on Rails и React/TypeScript — Создавать и развивать GraphQL API — Разрабатывать и поддерживать интеграции с внешними платформами — Полностью отвечать за функционал: от технических и продуктовых решений до релиза и эксплуатации — Участвовать в архитектурных решениях и рефакторинге — Работать с зрелой продакшн-системой и способствовать её развитию Требования: — Опыт коммерческой разработки на Ruby on Rails — Опыт работы с React и TypeScript — Знание PostgreSQL, включая проектирование схем и оптимизацию запросов — Практический опыт работы с GraphQL — Опыт интеграции с API сторонних сервисов — Хорошие инженерные практики: тестирование, код-ревью, документация — Умение брать ответственность и работать самостоятельно в распределённой команде — Владение английским языком на уровне B2 для документации и коммуникации — Свободное владение русским языком для ежедневного общения в команде Желательно: — Опыт с Go, Sidekiq или аналогичными системами фоновых задач — Опыт декомпозиции монолитных приложений на сервисы — Знание feature flags, OAuth и интеграций с социальными API Условия: — Гибкий график работы — 28 дней оплачиваемого отпуска — Регулярные оценки эффективности и пересмотры компенсации — Работа в международном B2B SaaS продукте — Сильная продуктовая и инженерная команда Процесс найма: Введение рекрутера → 3 интервью с командой → предложение о работе

Ищем начинающего DevOps-инженера с перспективой профессионального роста внутри команды. Задачи: — поддержка Linux-серверов и CI/CD — работа с Docker и GitLab Runner — автоматизация инфраструктуры с помощью Ansible — настройка мониторинга, сетей и внутренних сервисов Стек: Linux, Docker / Docker Swarm, GitLab CI/CD, Ansible, Traefik, PostgreSQL, Prometheus, Grafana, Loki, NetBird. Впереди переход на Kubernetes. Рассматриваем DevOps-инженеров с опытом до одного года, а также кандидатов без коммерческого опыта. От кандидата ожидаем базовое знание Linux, сетей, Docker и Git, готовность самостоятельно разбираться в задачах и задавать вопросы. Опыт с остальными инструментами необязателен — поможем освоить их в процессе работы. Что предлагаем: — Небольшой, но дружный коллектив — Полностью удалённая работа из любой страны — Гибкая система оплаты.

ASOS.com — британский онлайн‑ритейлер модной одежды, обуви, аксессуаров и косметики. В компании работают русскоговорящие ребята. Технологии и инструменты: SQL, Databricks, Spark, DBT, Python, Mixpanel, Adobe и другие. Компания основана фаундерами Nick Robertson, Andrew Regan, Quentin Griffiths, Deborah Thorpe. Размер команды: 1k-5k человек. Инвестиции: £587.5M.

Задачи: — Администрировать, поддерживать и оптимизировать облачные платформы и инфраструктуру. — Настраивать, конфигурировать, поддерживать и совершенствовать CI/CD- и GitOps-пайплайны. — Внедрять и поддерживать практики Infrastructure as Code (IaC) с использованием таких инструментов, как Ansible, Terraform, Pulumi. — Управлять контейнеризированными средами с использованием Docker, Docker Swarm и Kubernetes. — Обеспечивать надежную инфраструктуру и процессы развертывания для BI-сервисов и приложений, включая ClickHouse, SQL, Airflow, Tableau, Superset. — Тесно взаимодействовать с командами разработки и BI для повышения надежности развертывания, консистентности окружений и операционной эффективности. Требования: — Уверенные навыки настройки и администрирования как минимум одной облачной платформы. — Уверенные навыки построения и автоматизации процессов развертывания с использованием CI/CD и GitOps. — Опыт построения масштабируемой IT-инфраструктуры. — Уверенные навыки настройки Linux-серверов и устранения неисправностей. — Практический опыт работы с Kubernetes. — Понимание сетевой модели OSI. — Понимание принципов построения надежной и масштабируемой инфраструктуры, а также автоматизированных процессов развертывания. — Знание принципов информационной безопасности и защиты данных. — Интерес к работе с инфраструктурой для Business Intelligence и data-related решений либо соответствующий практический опыт.

Задачи: — Отвечать за всю AI-часть продукта: архитектура AI-системы от выбора LLM-моделей до построения RAG-pipeline и интеграции компьютерного зрения, принимать все ключевые технические решения — Обеспечивать качество рекомендаций, повышая конверсию на каждой итерации — Проводить быстрые итерации с выкатыванием изменений каждую неделю, сбором метрик, анализом и улучшением — Проводить эксперименты: A/B тесты промптов, гибридный поиск (текст + визуал + отзывы), мультимодальные модели, быстро проверять гипотезы на реальных пользователях — Масштабировать систему с 2000 туров на Мальдивы до 50,000+ туров по трём направлениям с тысячами запросов в день — Строить продукт с нуля, быстро экспериментировать и влиять на архитектуру Требования: — Опыт с продакшен LLM-приложениями, построение RAG-систем или чат-ботов на основе GPT/Claude — Экспертный уровень промпт-инжиниринга: правильная структура промптов, few-shot examples, chain-of-thought — Опыт работы с эмбеддингами и векторным поиском, понимание similarity search, hybrid search, reranking — Python на уровне продакшена: чистый, быстрый, поддерживаемый код Будет плюсом: — Опыт с компьютерным зрением и мультимодальными моделями (CLIP, GPT-4o, Claude 4.5 Sonnet) — Опыт с high-load системами и оптимизацией latency — Понимание рекомендательных систем — Понимание MLOps: мониторинг моделей, версионирование, A/B тестирование — Опыт построения recommendation систем и MCP для LLM систем — Личный опыт использования LLM для автоматизации задач Софт-скиллы: — Продуктовое мышление: AI как инструмент решения бизнес-задач — Умение работать с метриками: конверсия, время сессии, escalation rate — Быстрота принятия решений: выкатывать несовершенное решение и тестировать — Умение объяснять сложное простым языком для команды и бизнеса Условия: — Официальное оформление по ТК РФ — График 5/2, офис, сокращённый рабочий день по пятницам до 15:30 — Корпоративные программы обучения и развития — Медицинское обслуживание: ДМС и собственная медсанчасть — Специальные предложения от компаний-партнеров (рестораны, магазины, отдых, мероприятия) — Организация отдыха сотрудников и их детей, оплата детского сада — Аккредитованная IT компания — Офис на станции м. Курская — Корпоративные условия на приобретение туров — Дополнительный оплачиваемый отпуск 3 дня, оплата больничного — ДМС для членов семьи по корпоративным условиям — Корпоративные условия на изучение английского и занятия спортом

Workstream is a company building the all-in-one HR, payroll, and hiring platform for managing the hourly workforce. The company serves leading brands such as Burger King, Carl's Jr./Hardee's, IHOP, KFC, and Culvers, and is a high growth series B startup backed by notable VCs. Задачи: — Work closely with Product Managers, Engineering Managers, and peer engineers to deliver well-scoped product features. — Communicate effectively with technical and non-technical stakeholders across Engineering, Product, GTM, and Customer Success teams. — Advocate for and practice test-driven development (TDD) to ensure delivery of high-quality, reliable software. Требования: — 8 to 12+ years of professional software engineering experience. — Proficiency in at least one or more of the following languages: Ruby on Rails, Python, Java, PHP, or JavaScript, with experience developing full-stack, high-performance, and high-availability applications. — Strong foundation in programming principles and design patterns. — Experience building scalable systems and test-driven CI/CD with a commitment to quality software development. — Experience with SQL and NoSQL databases such as PostgreSQL or MongoDB, with comprehensive understanding of decision-making between SQL and NoSQL. — Familiarity with cloud platforms such as AWS. — Demonstrated experience in designing distributed systems with a holistic perspective. — Ability to communicate effectively in English, both verbally and in writing. Желательно: — Experience with NextJS or other front end technologies. Условия: — Full-time, hybrid position with 1 to 2 days a week in-office in Lehi, USA. — Mission-driven and value-based company dedicated to empowering deskless workers and local businesses. — Early employee opportunity at a Series B hyper-growth startup. — Competitive salary and equity. — Comprehensive health coverage including medical, dental, and vision, with 90% premiums paid for employees and 80% for dependents. — In-office amenities and stocked kitchen. — 401K Plan. — Flexible PTO. Workstream provides equal employment opportunities and prohibits discrimination and harassment of any type. The company is committed to full inclusion of all qualified individuals.

Location: Warsaw Workplace: OnSite ROLE HIGHLIGHTS: - Title: AIT Engineer – Optical Systems - Department: Global Manufacturing Organization - Reports to: Head of MAITE, Optics - Location: Warsaw, Poland - Type of Contract: Permanent - Working model: On-site - Employment is subject to applicable security screening (incl. SUPO, where required) ABOUT THE ROLE ICEYE is seeking an AIT Engineer to support the assembly, integration, and testing of satellite systems, including the integration of optical payloads into the spacecraft platform. This is a hands-on technical role in an early-stage production environment, where systems are still evolving and processes are not yet fully defined. You will work directly with flight hardware in cleanroom conditions, supporting the assembly, integration, and testing of the satellite bus, as well as the integration and validation of optical payloads provided by external suppliers. You will contribute to bringing the full satellite system from design into production, ensuring that optical payloads are successfully integrated with the satellite platform (bus), and that the system can be built, tested, and scaled reliably. This includes supporting troubleshooting and continuous improvement during production ramp-up. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. WHAT YOU WILL DO - Execute assembly, integration, and testing (AIT) of satellite subsystems and optical payloads - Perform optical alignment and integration activities (focus, tilt, centering, boresight) using precision equipment - Conduct hands-on inspection, assembly, and verification of satellite hardware in cleanroom environments - Support integration of externally supplied optical payloads into the satellite system - Identify, contain, and drive root cause analysis of non-conformances; implement corrective actions and feedback into design and production processes - Define and execute test and verification activities, including integration and acceptance testing at subsystem and system level - Support optical and system-level performance validation - Define, develop, and maintain process plans, procedures, and technical documentation, supporting implementation and continuous improvement of manufacturing and integration processes - Contribute to AIT process definition and improvement, enabling scalable production - Interface with optical, mechanical, and electrical engineering teams to ensure system-level integration - Collaborate with external suppliers during payload integration and validation - Support setup of tooling, fixtures, and test setups (GSE) required for production - Apply system-level understanding to anticipate integration risks across subsystems and ensure successful builds WHAT WE’RE LOOKING FOR MUST HAVE - 3+ years of hands-on experience in integration, testing, or production of complex hardware systems, with relevant experience in optical systems, optomechanics, physics, or other high-precision hardware - Hands-on experience with optical systems integration and alignment (focus, tilt, centering, boresight) - Experience working with optical payloads or Earth Observation systems - Familiarity with optical metrology tools (e.g. interferometers, collimators, optical benches, MTF setups) - Good system-level understanding across multiple disciplines (optical, mechanical, electrical) - Experience working with precision hardware in cleanroom environments - Experience working in structured production environments (e.g. MES or similar systems) - Strong troubleshooting skills with structured root cause analysis - Ability to analyze and interpret test data to support integration and validation activities - Experience developing or working with process plans and technical documentation - Ability to work in fast-paced and evolving production environments - Proactive, hands-on approach to problem-solving - Strong written and spoken English communication skills NICE TO HAVE - Experience supporting environmental testing (e.g. thermal vacuum, vibration) - Experience working with external suppliers or partners - Experience supporting systems from prototype through production ramp-up - Experience working in lean manufacturing or continuous improvement environments APPLICATION PROCESS - Talent Acquisition Interview - Hiring Manager General Interview - Technical Interview (onsite or virtual), including a Technical Challenge - Hiring Team + Director-level Interview - Offer Decision WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Base salary range for this position is dependent on experience, and will be negotiated individually. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Ищем Full-Stack QA Engineer, который умеет работать как с ручным тестированием, так и с автоматизацией. Важная часть роли — тестирование web и API, взаимодействие с разработчиками, анализ изменений и активное использование AI-инструментов в работе. Задачи: — Ручное тестирование веб-приложения и API. — Разработка, актуализация и поддержка тест-кейсов и тест-сьютов в Zephyr. — Анализ требований и изменений, определение объёма и приоритетов тестирования. — Функциональное, регрессионное, интеграционное и API-тестирование. — Анализ дефектов, создание баг-репортов и работа с backlog в Jira. — Подготовка test reports по результатам тестирования. — Взаимодействие с разработчиками на всех этапах разработки. — Участие в Agile-процессах: daily, refinement, review/demo, retrospective. — Разработка и поддержка автоматизированных тестов. — Соотношение ручного и автоматизированного тестирования — ориентировочно 70/30. — Активное использование AI-инструментов в ежедневной работе. Требования: — От 3 лет опыта в QA / Software Testing. — Практический опыт тестирования web-приложений и API. — Опыт работы в Agile-командах. — От 1 года опыта в автоматизации тестирования. — Практический опыт работы с Python, pytest, Playwright, requests, Allure. — Опыт работы с AI инструментами: Claude, Claude Code или аналогами. — Опыт работы с Jira / Zephyr - работа с backlog и дефектами, создание и поддержка test cases и test cycles. — Уверенное знание и применение техник тест-дизайна. — Понимание метрик тестирования. — Уверенное понимание HTTP, REST и принципов работы API, понимание GraphQL. — Уверенное владение Python и инструментами автоматизации тестирования pytest, Playwright, requests. — Умение анализировать результаты автотестов в Allure. — Уверенное владение Chrome DevTools и инструментами для тестирования API: Postman, Insomnia, curl, Swagger. — Уверенное знание SQL. — Умение пользоваться терминалом. — Понимание основных Git-процессов и умение работать с merge conflicts. — Опыт работы с системами логирования и мониторинга: Grafana, Sentry, Splunk или аналогами. — Внимательность к деталям, ответственность, самостоятельность, проактивность, коммуникабельность, умение работать в команде. — Применение risk-based testing для определения приоритетов и объёма тестирования. — Понимание принципов shift-left testing. — Умение анализировать влияние изменений и определять необходимый regression scope. — AI-first подход к тестированию: использование AI для анализа изменений, создания и актуализации тест-кейсов, разработки и улучшения автотестов. Языковые требования: — Английский язык — B1+: чтение технической документации, написание баг-репортов, рабочая коммуникация с командой.

Требования: — 2+ года опыта работы Data Analyst, Data Engineer или Analytics Engineer — Сильные навыки SQL и опыт работы с PostgreSQL или другими реляционными базами данных — Опыт построения и поддержки ETL/ELT пайплайнов — Владение Python для обработки данных и автоматизации — Понимание моделирования данных и концепций хранилищ данных — Опыт работы с большими наборами данных и оптимизации запросов — Свободное владение английским языком Условия: — Поддержка релокации — Полная занятость — Конкурентная зарплата — Работа в офисе в Лимассоле Задачи и подробности не указаны.

Location: Warsaw, Mazowieckie, Poland; Sofia City, Bulgaria; Limassol, Cyprus Workplace: hybrid Capital.com's Product Security team protects our web and mobile applications, infrastructure, and external perimeter in a highly regulated environment. As Senior/Staff Application Security Engineer, you will raise the bar for application security across the organisation. This role is measured by leverage: how well you design, automate, and scale security processes so that many engineering teams can build securely by default. You will lead security architecture reviews and threat modelling, increasingly with the help of AI tooling, and turn one-off security work into repeatable, self-service capabilities. The role combines deep hands-on offensive and defensive security expertise with the engineering mindset needed to automate at scale. You will work closely with development, QA, DevOps, and platform teams. Responsibilities: Security Architecture & Threat Modelling: Lead security architecture reviews and threat modelling for new and existing systems, using AI tools to make reviews faster, more consistent, and scalable across teams Act as a security force multiplier by influencing the standards, patterns, and guardrails that let teams move fast and stay secure Security Automation & Tooling: Design, build, and automate scalable security processes that engineering teams can self-serve, covering secure design review, threat modelling, testing, and remediation workflows Integrate and automate security checks across the SDLC and CI/CD pipelines (SAST, DAST, SCA, secrets, and IaC scanning), tuned for strong signal and low friction Own and evolve security tooling such as DefectDojo and SAST, DAST, and SCA platforms, maximising automation, coverage, and integration Apply AI and LLM-based tooling to architecture review, threat modelling, code review, and vulnerability triage, and help define how the team adopts these tools safely Security Testing & Vulnerability Management: Conduct and oversee security assessments of web and mobile applications, APIs, and cloud infrastructure, including manual testing and PoC development Run vulnerability scans across internal infrastructure and the external perimeter, then analyse findings, define remediation, and track issues to closure Support and triage the Bug Bounty Program and external vulnerability reports, automating triage where possible Participate in and help lead red teaming and offensive security exercises Enablement: Drive knowledge sharing on secure development, mentor engineers, and deliver training for development and QA teams Requirements: Experience: 5+ years in application or product security, or equivalent depth, with a track record of senior or staff-level impact Demonstrable experience leading security architecture reviews and threat modelling (e.g. STRIDE, attack trees, data-flow analysis) across multiple teams or products Proven ability to automate and scale security processes by building tooling, integrations, and self-service workflows that reduce manual effort Technical: Strong hands-on security testing skills, including code review and web, mobile, and API application security assessments, as well as the ability to triage and validate external vulnerability reports and bug bounty submissions Strong software engineering ability in at least one language (e.g. Python, Go, JavaScript), with the ability to build automation, not just scripts Deep understanding of the OWASP Top Ten, secure design, and secure coding best practices Experience with SAST, DAST, SCA, and vulnerability management platforms, and integrating them into CI/CD Strong understanding of modern application architectures: REST APIs, microservices, cloud-based systems, and containers Practical experience applying AI and LLM tooling to security work, or clear enthusiasm and aptitude to do so Collaboration: Excellent communication and influencing skills: you can explain security concepts to technical and non-technical stakeholders and drive change without direct authority A self-starter who enjoys solving complex problems, building leverage through automation, mentoring others, and strengthening security culture Nice to have: Experience securing the AI harness: hardening LLM and agent pipelines, prompts, tool and MCP integrations, and model endpoints against prompt injection, data leakage, and insecure agent actions Experience securing Kubernetes, including cluster hardening, RBAC, network policies, admission control, workload isolation, and image and supply-chain security Experience securing AWS infrastructure, including IAM, network and account architecture, key and secret management, and CSPM Experience building AI-assisted security tooling or internal self-service security platforms Experience mentoring or technically leading a security team Offensive or advanced security certifications such as OSAI, OSEP, OSCP, or OSWE What you'll get in return: You will join the company, that cares about work and life balance Annual Bonus based on the performance review cycle Generous Annual Leave Policy Medical Insurance and Pension fund, with additional benefit packages based on the location Hybrid working model (3 days from our modern office and 2 days fully remotely) Comprehensive Workation Policy with 30 more remote days available. Possibility of taking two additional days of paid leave per year to dedicate to volunteering efforts.

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building high-load products used by millions of people worldwide. Operating at the scale of one of the world's top-50 websites, we solve complex engineering challenges and create solutions that power real-time entertainment for a global audience. We are looking for a Lead ML Engineer to own a new ML stream focused on fast delivery of applied machine learning solutions across different product and business domains. The stream will work with a broad range of ML challenges. Some initiatives may be relatively small and delivered within a few weeks, while others may prove their value and grow into larger dedicated projects. This role combines hands-on ML engineering with end-to-end technical delivery ownership. You will receive product problems and expected outcomes from Product or internal stakeholders, clarify the technical requirements and constraints, define the implementation approach, coordinate execution within the stream, and bring solutions to production readiness and launch. This is a highly hands-on role. The stream will not have a dedicated software engineer for every initiative, so we expect Data Scientists and ML Engineers to be comfortable working beyond experimentation and contributing directly to production code. The role is not tied to a single ML domain. We value strong ML fundamentals, engineering skills, pragmatism, and the ability to quickly understand new problem areas more than deep specialization in one particular class of models. Job Responsibilities Technical Delivery Ownership Turn product and business problems into concrete ML implementation plans. Clarify requirements, constraints, available data, integrations, and success criteria together with Product and relevant stakeholders. Define technical scope, milestones, dependencies, risks, and delivery estimates. Select appropriate ML approaches and determine the fastest reliable way to validate and implement them. Drive technical delivery through experimentation, implementation, integration, deployment, and launch readiness. Keep delivery on track, proactively identify blockers, and coordinate dependencies with other teams. Provide Product with clear technical options, trade-offs, estimates, risks, and experiment results required for product decisions. Support production rollout and iteration based on observed results. Hands-on ML & Engineering Design, train, evaluate, and deploy ML models across different domains and problem types. Write production-quality Python and contribute directly to implementation. Build APIs, batch jobs, data-processing pipelines, and ML services required to deliver solutions where appropriate. Work with classical ML, deep learning, and foundation-model-based approaches depending on the problem. Process and transform large production datasets using Python and SQL. Integrate models into existing production systems. Implement appropriate testing, monitoring, logging, and observability for delivered ML solutions. Work within the shared ML infrastructure, architecture, and engineering practices used across the company. Collaborate with Data Science, Backend, Data Engineering, and MLOps specialists when deeper domain expertise or infrastructure changes are required. Stream Execution Break initiatives down into concrete technical tasks and coordinate execution within the stream. Coordinate the work of Data Scientists and ML Engineers contributing to stream initiatives. Review technical approaches, experiments, and implementation. Keep the team focused on the agreed scope, priorities, and delivery timeline. Identify technical risks and dependencies early and drive them to resolution. Escalate architectural, infrastructure, or methodological questions when broader alignment is required. Help prepare successful initiatives for scaling or transition into longer-term ownership if they grow beyond the scope of the stream. Cross-functional Collaboration Work closely with Product throughout the delivery lifecycle. Independently gather the technical details and constraints required to execute on a product request. Communicate estimates, dependencies, technical trade-offs, and delivery status clearly. Work directly with Engineering and other internal teams to unblock implementation. Challenge technically unclear, contradictory, or infeasible requirements and propose practical alternatives. You’ll thrive here if you have 5+ years of commercial experience in Machine Learning, Data Science, or ML Engineering. Strong hands-on Python programming and software engineering skills. Experience taking ML solutions from a product requirement through experimentation, implementation, integration, and production. Strong understanding of machine learning methods, statistics, experimentation, and model evaluation. Experience writing maintainable production code rather than working exclusively in notebooks. Experience building APIs, services, batch processing, or data pipelines. Strong SQL skills and experience working with large production datasets. Practical experience with Docker and production deployment environments. Ability to turn partially defined problems into concrete technical plans. Ability to estimate work, identify dependencies and risks, and drive technical execution against a timeline. Experience owning technical delivery involving several contributors and coordinating work across dependencies. Experience reviewing code and technical approaches. Ability to work effectively within established engineering and ML practices while independently owning delivery within a stream. Strong communication skills and the ability to work directly with Product and technical stakeholders. Ability to balance speed and engineering quality: validate ideas quickly when uncertainty is high and build robust solutions when moving towards production. Nice to Have Previous experience as a Tech Lead, Stream Lead, or technical owner of ML initiatives. Experience with Kubernetes and CI/CD. Experience with Kafka or other streaming platforms. Experience with Airflow, MLflow, experiment tracking, model monitoring, or similar tooling. Experience building real-time or high-load ML services. Experience with FastAPI or similar Python service frameworks. Experience across several ML domains, such as recommendation systems, ranking, NLP/LLMs, Computer Vision, anomaly detection, forecasting, or classification. Experience with LLM inference, fine-tuning or other GenAI systems. Experience in teams where Data Scientists and ML Engineers own a substantial part of production implementation themselves.

Задачи: — Создание и поддержание актуальной тестовой документации (тест-планов, тест-кейсов, чек-листов, тестовых сценариев). — Определение критериев приемки и требований к тестированию на основе пользовательских историй и спецификаций. — Проведение функционального, регрессионного, интеграционного и приемочного тестирования. — Тестирование web приложений или десктопных. — Тестирование взаимодействия с базами данных (Oracle, PostgreSQL). — Тестирование систем очередей сообщений (RabbitMQ). — Тестирование API (REST, SOAP) с использованием инструментов Postman, Swagger и т.п. — Анализ результатов тестирования, выявление, документирование и классификация дефектов в системе отслеживания ошибок. — Участие в обсуждении найденных дефектов с разработчиками и аналитиками. — Предложение улучшений и новых тестов на основе анализа результатов. — Активное взаимодействие с разработчиками, бизнес-аналитиками, DevOps и другими участниками проекта для уточнения требований и решения вопросов возникающих в процессе тестирования. — Участие в ежедневных стендапах, планировании спринтов и ретроспективах. Требования: — Опыт тестирования web приложений. — Знание SQL и опыт работы с базами данных (Oracle, PostgreSQL): умение писать запросы для проверки и подготовки данных. — Опыт работы с системами очередей сообщений (RabbitMQ или аналоги). — Опыт тестирования API (REST, SOAP) с использованием инструментов Postman, Swagger и т.п. — Опыт работы с системами управления проектами и отслеживания задач (Jira, Confluence, Azure DevOps, Яндекс Трекер, Trello и т.п.). — Глубокое понимание процессов, методологий и инструментов тестирования. — Опыт разработки тестовой документации: тест-кейсы, чек-листы, тест-планы. — Владение техниками тест-дизайна (граничные значения, классы эквивалентности, pairwise testing и т.п.). — Аналитические способности и умение выявлять причины дефектов. — Критическое мышление и навыки решения проблем. — Отличные коммуникативные навыки (устные и письменные) и умение работать в команде. Условия: — Трудоустройство в соответствии с ТК РФ. — Компания имеет аккредитацию в сфере информационных технологий. — Полностью дистанционный формат работы, открыты для соискателей из любой точки. — Обеспечение необходимым техническим оснащением для работы. — Полный социальный пакет. Этапы отбора: — Первичное телефонное интервью. — Онлайн-собеседование. — Решение.