Вакансии

Задачи: — Развивать ML-решения для рекламной монетизации, персонализации и рекомендаций — Вести и менторить Data Science-команду — Формировать Data Science-направление, roadmap и технические стандарты команды — Кросс-функциональная работа с Product, Engineering, Analytics и Ad Monetization Требования: — 5+ лет опыта в Data Science, желательно в consumer mobile-продуктах — Опыт в advertising monetization, revenue optimization или advertising analytics — Опыт разработки recommendation, personalization или ranking systems — Сильные навыки Python и SQL — Практический опыт с ML: classification, regression, ranking, forecasting, predictive modeling — Понимание A/B-тестирования, applied statistics и работы с большими behavioral datasets — Опыт технического лидерства или менторинга Data Scientists Условия: — Гибридный формат работы (удаленка с обязательным посещением офиса время от времени) — Локация офиса: Лимассол, Варшава — Занятость: Full-time

Задачи: — Руководство и наставничество в командах Data Science Требования: — Опыт работы в Data Science не менее 5 лет, предпочтительно в мобильных потребительских продуктах — Глубокие знания в области монетизации рекламы, оптимизации доходов или аналитики рекламы — Опыт работы с системами рекомендаций, персонализации или ранжирования — Продвинутые навыки Python и SQL — Экспертиза в машинном обучении, предиктивном моделировании, прогнозировании и прикладной статистике — Опыт работы с большими поведенческими наборами данных — Опыт руководства или наставничества в командах Data Science — Родной русский язык Будет преимуществом: — Знание AdMob, AppLovin, Unity Ads, ironSource — Опыт с MLOps и облачными платформами AWS, GCP, Azure — Знания в области LLM и генеративного ИИ

Location: Remote - Ireland Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. See yourself at Twilio Join the team as Twilio’s next Technical Support Engineer 3. About the job This position is needed to support our customers’ use of the Twilio platform, and help customers get the best experience from Twilio’s products. You will function as the voice of Twilio to our customers and partners, and operate as a subject matter expert for Twilio’s APIs and SDKs. We are looking for our next Technical Support Engineer 3 to join our Global Customer Support team, who will be dedicated to understanding and resolving complex customer requests via phone/email/chat/side channel/live support or any other support/communication channel, identify adoption and upsell opportunities for customers and make the appropriate connections. Develops knowledge on multiple specialty areas.  Identifies and responds to customer escalations and thoroughly document every customer interaction Responsibilities In this role, you will: Understands and resolves complex customer requests via phone/email/chat/side channel/live support or any other support/communication channel. Identify adoption and upsell opportunities for customers and make the appropriate connections. Develops knowledge on multiple specialty areas. Communicate complex concepts to customers. Anticipates customer questions and proactively responds with suggestions Identifies and responds to customer escalations. Effectively work multiple support channels (chat, phone, social, etc). Work on one concurrency chat. Prioritize the queue based on status, priority, entitlement. Follow guidance prioritizing caseload to achieve SLA compliance targets.  Meet SLA requirements per channel/role Follow established guidelines on tagging, categorizing, merging tickets. Leverage runbooks/wiki, macros, and other tools to efficiently resolve tickets. Escalate to senior technical resources to drive ticket resolution Leverage Twilio's AI tools and other automations (macros and related tools) to assist and efficiently communicate with customers Mentor or provide training to other team members in case management best practices. Thoroughly document every customer interaction (email, phone, chat, side-channel communications). Thoroughly document every internal interaction (research, cross-team engagement). Captures technical details (logs, splunk queries, JIRA details, etc), and provides internal commentary, troubleshooting steps throughout the case. Follows established guidelines on tagging, categorizing, merging tickets. Contributes to Knowledge articles Active participant in process improvement initiatives Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: 5+ years of experience in a Technical Support Engineer, Application Support, or Support Engineer role, supporting complex software products or platforms Strong programming/scripting troubleshooting skills in at least one of: JavaScript (preferably with Node.js) / Python / Java API or enterprise software experience, including technical troubleshooting skills. Hands‑on experience with web technologies and APIs, including: REST APIs/ HTTP protocol concepts/ API testing tools such as Postman or curl / Webhooks Solid understanding of networking and real-time communication, including: VoIP / SIP / WebRTC / TCP/UDP networking fundamentals / TLS/SSL Strong debugging and troubleshooting skills across: Application logs and API calls, Network traces (packet captures, basic analysis), Browser developer tools (for web-based products) Fluency in English (verbal, comprehension, listening, and writing) Availability to work non-standard (shifts / weekend rotation), on-call rotation weekend and holiday hours. Ability to diplomatically address customer concerns and provide feedback Desired: Bachelor's Degree or equivalent certifications and work experience Escalation Management: Knowing when to escalate and ability to de-escalate difficult/complex customer situations in a live environment Basic case management experience/skills Strong problem-solving skills and critical thinking Location This role will be Remote, and based in Ireland. Travel We prioritise connection and opportunities to build relationships with our customers and each other. For this role, approximately 15% travel is anticipated to help you connect in-person in a meaningful way. What we offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Задачи: – проектирование и разработка слоев данных (Raw, Clean, Enriched/Presentation) с учетом лучших практик моделирования (Data Vault 2.0 / 3NF для хранилища, Star Schema для витрин); – разработка и внедрение кастомных алгоритмов дедупликации и Entity Resolution (Fuzzy Matching) на Python; – формализация бизнес-правил качества данных в код, настройка уровней доверия к источникам и правил выживания (survivorship rules); – внедрение Data Contracts и механизмов карантина (quarantine) для некачественных данных с возможностью их последующего разбора; – настройка автоматизированного тестирования данных (Data Quality checks) в пайплайнах. Требования: – Продвинутый уровень SQL и опыт работы с dbt (или аналогами) для построения слоев данных; – уверенное владение PySpark и/или pandas для обработки больших объемов данных и реализации логики матчинга; – практический опыт применения библиотек нечёткого поиска и связывания записей (Splink, recordlinkage, dedupe, theFuzz); – понимание принципов работы алгоритмов сравнения строк (Левенштейн, Джаро-Винклер, косинусное сходство на TF-IDF/эмбеддингах); – глубокое понимание 2-3NF, Data Vault 2.0 и различий между слоями сырых, очищенных и обогащенных данных; – опыт внедрения инструментов тестирования данных (Great Expectations, Soda, dbt tests, deequ или аналоги); – опыт работы с оркестраторами (Airflow, Dagster или Prefect), уверенное использование Git и базовые навыки CI/CD для дата-пайплайнов.

Задачи: — Подготовка ежемесячной и еженедельной отчетности; — Выполнение ad-hoc задач, преимущественно от отдела retention; — Построение и поддержание дашбордов в Metabase. Требования: — Опыт работы с BI-системами; — Высокий уровень владения SQL (написание сложных запросов, CTE, оконные функции и т.п.); — Базовые навыки программирования на Python (работа с данными, написание DAG для Airflow); — Умение читать и понимать Python-код аналитических сервисов и моделей; — Активность, самостоятельность и инициативность. Преимущества: — Опыт работы в iGaming. Условия: — Работа в офисе на Кипре, в Лимассоле; — Официальное трудоустройство; — Корпоративные завтраки и обеды; — Развитая корпоративная культура; — График работы 5/2 (выходные суббота и воскресенье); — Гибкое начало рабочего дня с 8 до 11 часов; — Конкурентная заработная плата, определяемая по итогам собеседования; — Предоставление всех необходимых инструментов для работы.

Location: Warsaw Workplace: OnSite ROLE HIGHLIGHTS: - Satellite Operations Specialist - Location: Warsaw, Poland - Department: Satellite Operations & Maintenance / Engineering - Reports to: Satellite Operations Team Lead - Employment type: Fixed term - Workplace model: Office - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: As a Satellite Operations Specialist, you will be an integral part of ensuring that ICEYE is able to deliver the product and data to customers. You will work closely with other operators on the operations console throughout your shift hours, ensuring smooth operation of our constellation of satellites and providing crucial support for any unexpected contingencies that arise on the fleet or ground systems. You will help to improve Satellite Operations by developing new procedures and tools. You'll handle fleet maintenance, engage in mock operations pre-launch, and be a critical part of the Launch and Early Orbit Operations. If you're passionate about space technology and eager to make an impact in satellite operations, we want to hear from you. WHO WE ARE ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy – day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring (including oil-spill detection), and finance, contributing to global security and community resilience. ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation. YOUR DAY-TO-DAY RESPONSIBILITIES   - Maintain continuous, high-quality monitoring and control of the satellite constellation during all shifts - Ensure safe operations, early detection of anomalies, and proper escalation or resolution - Enhance Satellite Operations by developing and refining procedures, tools, and workflow - Support fleet maintenance activities and satellite in orbit testing - Contribute to mission readiness through simulations and Launch and Early Orbit Operations - Deliver clear shift handovers, incident reporting, and documentation - Contribute to seamless 24/7 operations and strengthen team-wide situational awareness and best practices. WHAT WE’RE LOOKING FOR MUST HAVES: - Relevant university degree: Aeronautical Engineering, Space studies, Applied Physics or similar, or relative experience in a similar role. - Have attention to detail with an excellent ability to focus - Have strong problem-solving skills and the ability to react fast - Strong English language skills (both written and spoken) - Flexibility in scheduled working hours (ability to work morning, evening, and night shifts, 365/24/7 basis) - Interest in Space Industry/Satellite Operations NICE TO HAVES: - Space background - Knowledge about satellite systems - Knowledge about orbital mechanics - Familiarity with Linux system - Familiarity with Python - Familiarity with Atlassian Cloud (Jira, Confluence) APPLICATION PROCESS - Technical/Team Lead interview (45 minutes, online) - Team Director interview (30 minutes, online) - Talent Attraction Partner interview (30 minutes, online) 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. The salary for this position is 9000 PLN per month (gross). 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.

Задачи: — Проектировать, внедрять и поддерживать DevOps инструменты для data pipeline и data платформ. — Поддерживать и автоматизировать ETL процессы (например, Spark, Airflow). — Создавать и управлять мониторингом и наблюдаемостью качества данных (DBT), data pipeline и систем хранения. — Внедрять и поддерживать инфраструктуру хранения данных на AWS (S3, EC2, сеть). — Интегрировать и поддерживать Project Nessie как транзакционный каталог для Data Lakes с семантикой, похожей на Git. — Тесно сотрудничать с Data Engineers для обеспечения плавного деплоя, версионирования и масштабирования data jobs и pipeline. — Автоматизировать деплой и CI/CD процессы с использованием GitLab CI/CD. — Обеспечивать лучшие практики безопасности при работе с чувствительными данными. — Писать автоматизацию инфраструктуры на Python, Bash, Ansible. — Документировать системы, pipeline и DevOps процессы. Требования: — Опыт 5+ лет в DevOps / IT Ops / DataOps с практическим опытом работы с инфраструктурой, связанной с данными. — Глубокие знания Linux (сеть, настройка ядра, оптимизация производительности). — Практический опыт работы с Airflow, ClickHouse, DBT, Spark и Project Nessie. — Солидные знания AWS сервисов (S3, EC2, IAM, сеть). — Владение скриптингом и автоматизацией (Python, Bash, Ansible). — Опыт работы с CI/CD пайплайнами (GitLab). — Опыт работы с мониторинговыми стеками (Prometheus, Grafana, ELK). — Знакомство с контейнеризацией и оркестрацией (Docker, Kubernetes). — Понимание концепций управления данными. — Сильные коммуникативные навыки и проактивный подход. Плюсом будет: — Опыт работы с потоковой обработкой данных в реальном времени. — Знание инфраструктуры как кода (Terraform). — Знакомство с безопасностью в data engineering (IAM, шифрование, контроль доступа). — Опыт работы с высокопроизводительными системами или в торговой среде.

Задачи: — Анализировать продуктовые метрики B2C-направления: воронки, retention, когорты пользователей — Настраивать и поддерживать трекинг событий в Amplitude (или аналогичной системе) — Считать unit-экономику продукта: LTV/CAC, конверсии, retention, а также финтех-специфичные метрики — GMV, payment success rate, показатели по транзакциям — Строить и поддерживать дашборды для команды и стейкхолдеров (Superset / DataLens / Power BI) — Настраивать real-time дашборды операционных метрик и алерты в Grafana — Писать сложные SQL-запросы к PostgreSQL, оптимизировать их под нагрузку — Обрабатывать и автоматизировать анализ данных на Python (pandas/numpy) — Помогать выстраивать витрины данных и элементы ETL-процессов Требования: — SQL — PostgreSQL: оконные функции, CTE, оптимизация запросов — Продуктовая аналитика — опыт работы с Amplitude или аналогами: воронки, retention, когорты, настройка событий — Python — pandas/numpy для обработки данных и автоматизации — BI-инструменты — опыт построения и поддержки дашбордов (Superset / DataLens / Power BI) — Grafana — опыт настройки real-time дашбордов и алертов по операционным метрикам — Понимание продуктовых и финансовых метрик: unit-экономика, LTV/CAC, конверсии, retention — Понимание специфики fintech-метрик: GMV, payment success rate, транзакционные показатели — Базовые знания статистики Условия: — официальное трудоустройство по ТК РК — понятный онбординг и поддержка на старте — обучение и развитие за счёт компании — частичная компенсация занятий спортом — корпоративные активности и мероприятия — работа в офисе в Караганде или удалённо по всему Казахстану

Location: Espoo Workplace: Hybrid ROLE HIGHLIGHTS: - Senior Geospatial Software Engineer - Location: Espoo, Finland. Relocation to Finland required - Department: Product Engineering, Solutions - Reports to: Solutions Data Platform Team Lead - Employment type: Permanent - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS:   As a Senior Geospatial Software Engineer, you'll help build and run the geospatial data platform behind our analytics products. The platform ingests elevation, hydrology, building, and satellite imagery data from public and commercial providers and serves it through APIs used across the company, so the pipelines and APIs you build directly shape what other teams can rely on.   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. YOUR DAY-TO-DAY RESPONSIBILITIES   - Pipeline Development: Build and maintain production pipelines that collect data from external providers, process it, and load it into our spatial databases, using established ingest patterns and adding new sources. - Pipeline Operations: Own pipelines in production, respond to failures, and adapt ingestion when upstream providers change their schemas, formats, or access rules. - Data Delivery: Develop and operate the REST and STAC APIs that serve this data to internal and external consumers, with stable contracts and predictable performance. - Geospatial Processing: Process large raster and vector datasets at scale, covering reprojection, mosaicking, tiling, format conversion, and quality validation. - Engineering Quality: Improve automated testing, CI/CD, and data quality monitoring so that releases stay safe and repeatable. - Stakeholder Partnership: Work directly with stakeholders to agree on requirements, explain data coverage, quality, and limitations, and write the specifications and decision records that support them.   WHAT WE’RE LOOKING FOR Must haves: - 5+ years of Python in production, with deep knowledge of spatial indexing, coordinate reference systems, vertical datums, and large-scale raster/vector processing trade-offs. - Strong PostgreSQL/PostGIS skills: schema design, partitioning, query tuning, and safe migrations on large live datasets. - Experience running production pipelines on an orchestration framework (Dagster, Airflow, or Prefect), designed to fail loudly and recover cleanly. - Experience building and operating HTTP services in Python with a modern async framework and ORM, with stable, versioned contracts. - Confidence extending complex Python codebases with testable, production-grade code. - Comfort with containers, CI/CD, cloud storage/messaging, and Kubernetes. - Expert, pragmatic use of AI-assisted tools (Cursor, Claude, Copilot) to speed up routine engineering. - Master's degree in Computer Science, Geoinformatics, Geodesy, Remote Sensing, or a related field, or equivalent depth from real-world experience.   Nice to haves: - Experience with satellite imagery. - Familiarity with STAC, OGC API standards, or Cloud-Optimized GeoTIFF. - Experience integrating with public-sector or government data APIs. - Data quality and observability tooling, for example dbt or OpenTelemetry. - Infrastructure-as-code and GitOps experience.   APPLICATION PROCESS - TA Interview - Hiring Manager Interview - Take Home Task - Panel Interview - Department Lead Interview - Final Interview with SVP of Solutions 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.   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.

Требования: - Опыт TeamLead (управление командой) не менее 4 лет; - Опыт разработки ETL/ELT-процессов, в которых значительная часть логики реализована на стороне СУБД; - Опыт разработки и сопровождения хранимых процедур / функций в СУБД; - Практический опыт использования SQL/PLSQL или аналогичных процедурных расширений SQL для реализации загрузок и трансформаций данных; - Опыт участия в проектах миграции ETL-систем (Apache стек); - Опыт разработки на Python (написание ETL-скриптов, работа с pandas, интеграция с API); - Опыт написания и отладки DAG'ов в Apache Airflow (не только проектирование, но и разработка); - Опыт работы с PySpark (трансформации, оптимизация, партиционирование); - Опыт миграции ETL-процессов с Informatica PowerCenter на открытый стек (Airflow + Greenplum); - Глубокое практическое знание NiFi и Airflow: проектирование потоков, подключение источников, обработка ошибок, мониторинг, отладка; - Опыт работы с качеством данных: разработка правил валидации, анализ влияния на бизнес-процессы; - Понимание архитектурных подходов к проектированию хранилищ, различие ETL и ELT; - Опыт работы с Hive metastore (устройство, хранение на PostgreSQL) и форматами файлов (Parquet, ORC); - Опыт работы с Оracle; - Опыт применения сложных SQL-запросов (оконные функции, джоины); - Умение оптимизировать запросы для highload-среды; - Опыт проектирования интеграций Apache-стека с Kafka и BI-системами; - Опыт настройки потоковой обработки данных; - Опыт работы с Hadoop и Hive (знание версий, источников данных); - Опыт работы с PostgreSQL, Greenplum, Clickhouse; - Опыт работы с Grafana/Prometheus для отслеживания ETL-процессов; - Опыт работы с биллингом; - Опыт автоматической валидации и контроля качества данных после миграции (сравнение результатов, метрики); Обязанности: - Миграция ETL-процессов с Informatica PowerCenter на целевой стек: NiFi + Airflow + Greenplum + SQL/хранимые процедуры. - Подготовка документации AS IS и TO BE; - Написание SQL кода; - Отслеживание метрик.

Location: เขตปทุมวัน, Thailand Workplace: onsite Knauf stands for opportunity. We know that opportunity looks different to each person, and we are proud that we see opportunity in everyone. This exciting role within the Business & Process Department could be the perfect next opportunity for you to build a unique career, in a values-led culture with a clear purpose of making tomorrow a home for all of us. We are a family-owned global manufacturer of construction materials and within our Group, our 43,500 team members in 90 countries across 320 sites provide a huge opportunity for anyone with ambition and energy. We value everyone's contribution equally and we ask that you bring your whole self to work, to enrich the business further, as together we achieve more in a safe and inclusive environment. In Asia Pacific, since the 1990s Knauf has been established as a leading and trusted brand for drywall products and system solutions. Today, with over 5,500 experienced, talented, and diversified people operating nearly 35 production facilities and offices across the region, coupled with an extensive expertise-backed sales and support network, our teams deliver the best of Knauf to our customers, while supporting positive changes to the industry and communities where we operate – in Australia, China, Korea, Japan, India, Thailand, Indonesia, Vietnam, Philippines, Malaysia, Singapore, Central Asia, and the Caucasus. Reporting into Senior Business Process Manager , we are searching for a team member to join us as Process Excellence & Digital Transformation Manager (SAP) . Can you say yes? The Process Excellence & Digital Transformation Manager leads regional initiatives to simplify, standardise, and improve business processes across Asia-Pacific. The role helps business units move from inconsistent, manual, or complex ways of working to clearer, faster, and more efficient processes supported by common definitions, practical guidelines, best practices, and fit-for-purpose system solutions. The role works closely with business units, Global Process Owners, and IT to identify operational pain points, analyse root causes, and design practical improvements that can be scaled across countries. This includes optimising SAP and other ERP processes, improving system usage and data quality, and reducing manual work through tools such as workflows, Robotic Process Automation (RPA), system interfaces, reporting solutions, and other automation opportunities. The successful candidate must be able to operate at both strategic and detailed levels: influencing senior stakeholders with clear recommendations while also working hands-on with process flows, data, system logic, and operational teams to deliver sustainable change. The role includes people management responsibility for one to two direct reports , guiding and developing team members to support the delivery of overall regional initiatives. The role requires strong ownership, structured problem solving, and the ability to lead through influence in a regional, multi-country environment. What you will be doing Process Improvement & Change Leadership · Drive end-to-end process improvement initiatives, from problem definition through to solution design and implementation · Define and monitor success measures to assess adoption, process performance and realized business outcomes using feedback and data to drive continuous improvement. · Lead structured root cause analysis (e.g. data-driven analysis, process diagnostics) to identify underlying issues in business processes and systems. · Design practical, scalable process solutions, balancing standardization, control, and local business needs. · Act as a change agent, proactively challenging the status quo and guiding stakeholders through change. · Translate complex analysis and process issues into clear, compelling executive-level narratives, recommendations and business cases that enable senior management decision making Project & Stakeholder Management · Take end-to-end ownership of assigned transformation initiatives, independently driving progress, resolving ambiguity and escalating decisions or risks where appropriate · Gather, document, and prioritize detailed business requirements. · Lead or support User Acceptance Testing (UAT) , ensuring solutions meet real business needs. · Act as a trusted partner to Global Process Owners, providing strong APAC input into global designs. Digitization & System Enablement · Identify opportunities to digitize and automate manual or inefficient processes . · Work closely with IT and data teams to translate business requirements into system and reporting solutions. · Support regional digitisation efforts through: · Clear functional specifications · Data and logic validation · Hands-on testing and iteration People Management & Team Enablement · Coach and guide team members to strengthen process thinking, problem-solving capability, and business partnering skills . · Set clear priorities, expectations, and ways of working to ensure the team delivers against agreed objectives. · Drive team performance by providing regular feedback, removing roadblocks, and enabling ownership of key deliverables. What we would love for you to have Minimum 8 years’ experience in business process improvement, business analysis, or a similar role. Proven ability to diagnose complex business and system problems, perform deep root cause analysis, design and implement pragmatic, data-driven solutions Strong working knowledge of at least one SAP module (e.g. SD, FI/CO, PtM) with an understanding of associated business processes and data structures Hands on experience designing or implementing workflow automation solutions (e.g. Microsoft Power Platform/ Power Automate, SAP Build Process Automation, Nintex, ProcessMaker or other similar platforms ) or Working knowledge of basic coding or scripting to support digitization and automation (e.g. Python, JSON, SQL ) Cross-functional SAP knowledge across multiple modules SAP BW / business intelligence and reporting solutions such as Tableau or Power BI Experience mapping end-to-end processes with Business Process Model and Notation(BPMN) or similar process-modelling standards What happens next? Your application will be reviewed by our Hiring Team to determine if your experiences and skills are what we are looking for in the role. If you are, our Talent Acquisition representative will contact you promptly to arrange for next steps.

Anthropic Fellows Program overview: The program is designed to foster AI research and engineering talent by providing funding and mentorship to promising technical talent regardless of previous experience. Fellows primarily use external infrastructure such as open-source models and public APIs to work on projects aligned with Anthropic's research priorities, aiming to produce a public output like a paper submission. Multiple cohorts run each year with rolling application reviews. What to expect: — 4 months of full-time research — Direct mentorship from Anthropic researchers — Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD plus benefits varying by country — Funding for compute (~$15k/month) and other research expenses Interview process: Includes initial application and reference check, assessments and interviews, and a research discussion. Compensation: Expected base stipend is 3,850 USD / 2,310 GBP / 4,300 CAD per week for 40 hours per week over 4 months, with possible extension. The Anthropic Institute Fellows (Economics & Policy): Mentors and research areas include Economics (Maxim Massenkoff, Peter McCrory) and Policy, Security, and Society (Jack Clark, Marina Favaro, Jim Baker). Projects may include: — Designing and conducting empirical research on AI's economic effects using external data sources — Developing new methodological approaches for studying AI's impact on labor markets, future of work, and society — Analyzing offense–defense balance for AI-enabled cyber and bio capabilities as models scale — Measuring model performance increases with custom harnesses — Identifying market-driven mechanisms to improve societal resilience to AI threats — Identifying AI R&D metrics as early warning signals for recursive self-improvement Candidate criteria: — Interest in economics or policy research; prior experience is a plus but not required — Adaptable and collaborative, able to take direction and contribute to team priorities — Skilled at writing and communicating results, including null or unexpected findings — Passionate about translating research insights into actionable recommendations for AI systems and policy Good fit if: — Motivated to ensure AI is safe and beneficial for society — Interested in transitioning into AI research and possibly a full-time role at Anthropic — Strong track record of empirical research — Thrives in fast-paced, collaborative environments — Can implement ideas quickly and communicate clearly Requirements: — Fluent in Python programming — Available full-time for the Fellows program Logistics: — Must have work authorization and be located in the US, UK, or Canada during the program — Workspace available in San Francisco; remote fellows accepted in UK, US, or Canada — No visa sponsorship available; candidates must have or obtain full-time work authorization independently — Program duration is 4 months full-time; partial commitments considered case-by-case Additional notes: — The program encourages applications from underrepresented groups and those who may doubt their qualifications. — Anthropic is a public benefit corporation headquartered in San Francisco offering competitive compensation, benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space for collaboration. — Candidates should be cautious of scams and only trust communications from @anthropic.com email addresses.

Anthropic Fellows Program is designed to foster AI research and engineering talent by providing funding and mentorship to promising technical talent regardless of previous experience. Fellows primarily use external infrastructure such as open-source models and public APIs to work on empirical projects aligned with Anthropic's research priorities, aiming to produce public outputs like paper submissions. The program runs multiple cohorts yearly with rolling application reviews, expecting a start in January 2027 but flexible start dates can be requested. The program includes 4 months of full-time research, direct mentorship from Anthropic researchers, access to a shared workspace, connection to the AI safety and security research community, a weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD plus benefits varying by country, and funding for compute (~$15k/month) and other research expenses. The interview process involves an initial application and reference check, technical assessments and interviews, and a research discussion. Applicants are encouraged to apply even if they do not meet every qualification, with emphasis on diversity and inclusion. There are two main fellow tracks: ML Systems & Performance Fellows: - Mentors include Alwin Peng and Zygi Straznickas. - Projects may involve building CPU simulators for accelerator workloads, adding backends for accelerators on open source projects, building on-demand infrastructure, and creating complex synthetic data or environment pipelines. - Candidates should have strong software engineering skills, experience with complex ML systems, ability to balance research and engineering rigor, comfort with large-scale distributed systems and high-performance computing, experience with training or evaluating large language models, and skills in analyzing and debugging model training. - Fluency in Python and full-time availability are required. Reinforcement Learning Fellows: - Mentors include Ruhua Jiang, Kaidi Cao, Sunny Duan, David Brandfonbrener, Colt Steele, Dino Distefano, and Will Williams. - Projects may include building model-based tools to understand and improve AI training data, research on generalization, creating RL environments to improve Claude models and safety-related tasks, and research and implementation of RL algorithms. - Candidate criteria are similar to ML Systems Fellows. Logistics: - Participants must have work authorization and be located in the US, UK, or Canada during the program. - Shared workspaces are available in San Francisco; remote participation is allowed in the UK, US, or Canada. - Visa sponsorship is not provided; candidates must have or obtain full-time work authorization independently. - The program duration is 4 months full-time, with possible extensions and flexibility for partial commitments. Additional notes: - No guarantee of full-time offers post-program, though strong performers may receive offers or continue impactful AI safety work elsewhere. - Anthropic's full-time role policies do not apply to the Fellows Program. - The company emphasizes collaborative, large-scale AI research with a focus on safety, interpretability, and steerability. - Candidates must be fluent in Python and able to commit full-time. - The program values diversity and encourages applications from underrepresented groups. - Safety advice is provided regarding recruitment communications. Apply at the provided link.

Описание проекта: платформа, которая превращает каждый разговор с клиентом в понятные инсайты Ожидания: — 4+ года DevOps / Platform / Backend-инфраструктуры, Kubernetes в проде: Helm, GitOps — Опыт развёртывания в контуре заказчика (on-prem, закрытые сети) — Практика с LLM-приложениями: RAG (векторные БД, эмбеддинги, чанкинг, оценка качества), работа с LLM API — API-шлюзы и прокси: маршрутизация, аутентификация, rate limiting, логирование (Kong / Envoy / nginx или свои на Python) — Python - уверенно: читать, дорабатывать и писать сервисы — Linux, сети, TLS/PKI, ingress/egress — Опыт прохождения требований ИБ крупной компании: опросники, согласования, аудит — Умение писать понятную документацию и договариваться с инженерами и безопасниками заказчика — Автономность: берёте задачу end-to-end и доводите до результата Задачи: — Установить в контуре заказчика сервис маскирования персональных данных: ПДн обезличиваются до того, как данные покинут периметр. Дальше - обратная подстановка в ответ, проверка полноты маскирования, журнал — Развернуть и настроить сервис управления знаниями для RAG: загрузка и обновление документов, разбиение на фрагменты, эмбеддинги, векторный поиск, права доступа к источникам, контроль качества ответов — Настроить шлюз: заказчик обращается к нам, мы проксируем запросы к внешнему провайдеру. Шлюз должен давать маршрутизацию, учёт запросов и др — Подключить всё это к ИБ заказчика: TLS, аутентификация сервисов, сетевые доступы, журналы — Собрать поставку под Kubernetes: Helm-чарты, Argo CD, зафиксированные версии образов, установка без интернета — Развернуть GPU-инференс: vLLM и faster-whisper на узлах NVIDIA HGX H200 — Настроить хранилища: PostgreSQL, MongoDB, OpenSearch, Redis - бэкапы, проверка восстановления — Встроиться в ИБ заказчика: SIEM, IDM/SSO, PKI, NGFW/WAF, закрытый egress, сегментация prod/test/dev — Настроить наблюдаемость (Prometheus, Grafana, Loki) и журнал аудита — Документация для заказчика: архитектура, установка и обновление, runbook, программа и методика испытаний — Техсогласования и приёмка вместе с командой заказчика

Задачи: • Построение и поддержка CI/CD пайплайнов сборки и доставки сервисов b2b-направления; • Развертывание и сопровождение сервисов в Kubernetes; • Поддержка прод-среды: расследование инцидентов, поиск причин, устранение; • Настройка и тюнинг сервисов, в том числе Java-приложений (JVM, GC, лимиты ресурсов); • Работа с продуктовыми командами и командами заказчика над процессами развертывания и доставки. Наши ожидания: Kubernetes в прод: уверенная эксплуатация и диагностика проблем в кластере; Helm: написание собственных чартов, конфигурация под разные окружения; GitLab CI: многоэтапные пайплайны, шаблоны, runners в Kubernetes, сборка образов; Мониторинг на Prometheus и Grafana: метрики, алерты, дашборды; Уверенное администрирование Linux, автоматизация на bash / python; Сети: TCP/IP, DNS, NAT, HTTP/HTTPS, TLS, проксирование и балансировка, отказоустойчивые схемы; Опыт сопровождения Java-приложений: тюнинг и troubleshooting. Будет плюсом: Опыт работы с Kafka и другими брокерами сообщений (ActiveMQ, RabbitMQ); Работа в закрытом контуре, опыт в банковской сфере. Формат: полный день, удаленно; Длительность: бессрочно; Локация: строго только с территории РФ; Зп: от 200.000 (ТК или ИП)

Задачи: — Обеспечение качества продукта Terraform (покрытие тестами провайдера), контроль расширения процента покрытия. — Написание автоматизированных тестов для Terraform Provider/CLI/SDK (E2E и интеграционные сценарии). — Ведение документации (карта покрытия, дашборды и тд.). — Работа с API продуктов, доступных через Terraform (проверка базовых и advanced сценариев, корнер-кейсы). — Постановка задач на другие команды и контроль их выполнения. — Проработка запросов от клиентов (новые функции, баги). Требования: — Опыт ручного и автоматизированного тестирования от трех лет. — Опыт написания интеграционных и E2E тестов. — Опыт работы с REST\gRPC. — Опыт разработки авто-тестов (Golang). — Linux/Mac на уровне администрирования. Дополнительно приветствуется: — Опыт построения процессов тестирования продукта с нуля. — Желание развиваться в области тестирования, а также погружаться в работу всех продуктов платформы. — Опыт разработки авто-тестов (Python). — Знания в области виртуализации - Docker, K8s. Условия: — Оформление в соответствии с трудовым законодательством РФ; — Достойный уровень дохода: оклад + годовой бонус; — Расширенный ДМС со стоматологией; — Компенсация спорта; — Штатный терапевт и психолог; — Гибкий график работы, пятница – сокращенный рабочий день; — Классный офис в Москве; — Культура, в основе которой эмпатия, уважение, открытость и свобода строить рабочий процесс так, как считаешь нужным. — Индивидуальный план развития и обучение за счет компании; — Возможность вертикального и горизонтального роста; — Возможность развиваться как эксперту: выступать на мероприятиях, писать статьи. — Профессиональные сообщества и клубы по интересам; — Неформальные мероприятия: от футбольного клуба до посиделок с пиццей. — Льготная программа ипотечного и потребительского кредитования; — Материальная помощь при рождении детей и других семейных обстоятельствах; — Бонусы за рекомендации кандидатов на открытые вакансии.

Location: Москва Команда занимается развитием фреймворка разработки витрин данных. В команде объединены экспертизы по DE, Software Engineering, анализу и архитектуре, DevOps, Backend и Frontend разработке. Работаем по Scrum, ценим высокий профессионализм, культуру общения и проактивность. В центр компетенций по DevOps мы ищем сильного коллегу - Senior DevOps Engineer. Обязанности * разрабатывать pipelines для деплоя дистрибутивов на тестовый и production кластеры Hadoop и OpenShift * внедрять CI/CD в процессы разработки * разрабатывать функционал для платформы разработки витрин данных и его прикладной части * настраивать мониторинг доступности кластеров Hadoop и Backend сервисов * настраивать интеграции с корпоративными системами хранения секретов * развивать DevOps функцию с акцентом на улучшение CSI DevOps и всего продукта. Требования * наличие высшего образования * опыт работы DevOps инженером от 4 лет * глубокое знание контейнеризации и оркестрации * глубокое понимание и экспертиза в CI/CD * опыт работы с HashiCorpVault или др. системами хранения секретов * опыт работы с популярными инструментами (Jenkins, Ansible, Python и др.) **будет преимуществом:** * знание интеграции MPP с k8s (в частности Spark, Flink) * опыт работы и настройки Hadoop (Spark/Yarn, Spark/K8s и др.) Условия * гибридный формат в Москве (ул.Поклонная, 3) * ежегодный пересмотр зарплаты и годовая премия * расширенный ДМС и льготное страхование для семьи * уникальная система обучения Сбера для профессионального и карьерного развития * выгодная ипотека для сотрудников * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера * корпоративная пенсионная программа.

Задачи: — Управление полным циклом продаж от первого звонка/теплого лида до подписания контракта (краткосрочные проекты и долгосрочные технические партнерства). — Тесное взаимодействие с командой лидогенерации для направления и активного участия в стратегии поиска клиентов на Upwork. — Эффективная квалификация клиентов с минимальной нагрузкой на них и предложение гибких решений при превышении бюджета. — Координация с бизнес-аналитиками, дизайнерами и техническими командами для подготовки оценок и передачи проектов менеджерам. — Продажа веб-приложений (React, Node, Python), AI/ML проектов и контрактов на расширение команды (Outstaff) сроком более 6 месяцев. — Активное использование AI-инструментов для ускорения процессов, анализа требований и подготовки предложений. — Быстрая и проактивная коммуникация с международными клиентами, адаптация к часовым поясам США, Канады и Европы. Требования: — Опыт работы в IT бизнес-развитии не менее 2 лет с акцентом на закрытие сделок. — Обязательный опыт лидогенерации не менее 2 лет. — Подтвержденный опыт продаж аутсорсинговых проектов веб-приложений и долгосрочных контрактов. — Опыт управления несколькими пресейл-процессами и ведения сложных переговоров. — Практический опыт использования AI-инструментов для оптимизации продаж. — Проактивность и лидерские качества, умение планировать и не ждать готовых брифов. — Уверенное владение CRM и ERP системами. — Свободное владение английским языком (C1+). — Проживание за пределами России и Беларуси. Плюсы: — Опыт продажи проектов с оплачиваемыми фазами Discovery. — Опыт продажи AI/ML проектов (NLP, Computer Vision и др.). — Опыт продажи контрактов на расширение команды / Outstaff. — Способность участвовать в технических обсуждениях по React, Node.js, Python или Flutter. Условия: — Полностью удаленная, полная занятость. — Гибкий график с работой в европейских и международных часовых поясах. — Базовая зарплата $800–1000 + неограниченная комиссия 5–8%. — Оплата испытательного срока $1300–1500 при выполнении активностей. — 20 оплачиваемых отпускных дней + 5 больничных + дополнительные выходные. — Работа с международными клиентами на высокоценных проектах. — Культура AI-first: активное использование и разработка AI. — Возможности карьерного роста в расширяющемся отделе бизнес-развития.