Вакансии

Чем предстоит заниматься: Развитие собственной линейки продуктов, устранение уязвимостей, расширение функционала до уровня Enterprise решений, обеспечение своевременной, надежной и качественной поддержки. Требования: Глубокое знание REST API — проектирование и декомпозиция тестовых сценариев на основе OpenAPI / Swagger;

- Build features across the stack using Ruby on Rails and React/TypeScript. - Build and evolve GraphQL APIs.

Описание вакансии 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.

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.

На этой позиции вы будете отвечать за администрирование облачных платформ, автоматизацию CI/CD, Infrastructure as Code, контейнеризированные среды. Важной частью роли станет обеспечение стабильной и эффективной инфраструктуры для BI-сервисов, data-driven приложений и сопутствующих систем.

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

Day In The Life You are a seasoned Software Engineer with a strong background in full-stack application development. Work closely with Product Managers, Engineering Managers, and peer engineers to deliver well-scoped product features.

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.

Описание вакансии 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.

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.

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.

- Разработка и оптимизация Python-бэкенда. - Архитектура микросервисов и API (LLM, OCR/CV, клиент и админки).

Location: Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia Are you a QA Engineer who cares about code craft and system stability? Do you want to focus on quality over quick fixes and own your decisions from day one? About JetBrains We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale. What you’ll do IntelliJ IDEA changed how Java development worked by introducing automated refactoring, and it remains a core tool for thousands of developers worldwide. Within the IntelliJ IDEA Ultimate team, we focus specifically on improving how the IDE supports key JVM frameworks like Spring, Jakarta EE, and Hibernate. We need an independent QA Engineer to help us ensure these enterprise development tools remain reliable and efficient. You will take ownership of the testing process for new and existing functionality, balancing manual exploratory testing with automated test development. You will work closely with developers to spot flaws early and collaborate directly with product managers to decide which issues impact our users most. Day to day, you will: Perform exploratory testing of new and existing features to uncover edge cases. Run regression tests to ensure platform stability before releases. Maintain, write, and scale our automated test suites. Reproduce user-reported issues and provide technical support to resolve them. Collaborate with developers to share product knowledge and diagnose system bugs. Work with product managers to estimate the priority and business impact of issues. What you’ll bring Strong communication skills and the ability to explain technical problems clearly. Independence, self-discipline, and a habit of learning new technologies on your own. A collaborative approach to working with distributed engineering teams. What you’ll need Proven experience testing commercial software applications. Proficiency in Java or Kotlin sufficient to write test applications and read source code. Fluency in spoken and written English. Practical familiarity with build tools (like Maven, Gradle, or Bazel), databases, and Docker containers. Experience testing software across different operating systems alongside basic system administration skills. What success looks like Success in this role means earning the trust of your team through sound testing decisions and leaving our codebase cleaner and more stable than you found it. You will move past simple task lists to take real ownership of product quality, helping the team ship reliable updates without compromising speed. Ultimately, success is defined by preventing regressions and ensuring enterprise developers have a seamless experience using our tools. Why join JetBrains? Strong base salary. We offer competitive pay that reflects your skills and experience. Flexible work location. Enjoy the freedom to work from home or from the office. Remote work. Spend up to 30 days per year working remotely from abroad. Extra time off. More days to relax, recharge, and do the things you love. Medical insurance allowance. Enjoy peace of mind for you and your family Learning and development opportunities. Access to conferences, courses, and language classes. Relocation support. We help make your move as smooth and stress-free as possible. Language classes. Pick up the local language or sharpen your English skills. Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays. Mental health support. To help you feel your best, we provide easy access to professional mental health services. Sports benefit. Enjoy an on-site gym or sports club stipend. Internal events. Join company-wide celebrations and team gatherings. *Some benefits may vary depending on location. #LI-DNI We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

In this role, you’ll dive into high-impact projects across our service architecture, collaborating with product, risk, and design partners to deliver resilient, secure systems.

В команду проекта по развитию и тестированию хранилища данных ищем QA-инженера. В роли предстоит заниматься тестированием DWH, проверкой качества и корректности данных, валидацией преобразований source-to-target, регрессионным тестированием и автоматизацией проверок на Python.

Разработка и поддержка пайплайнов. – Проектирование ETL/ELT-процессов для переноса данных из PostgreSQL и других источников в ClickHouse.