Вакансии

Задачи: — Архитектура новой системы данных компании с нуля. — Преобразование больших и разнородных медицинских данных в унифицированный, высокопроизводительный граф знаний. — Работа с медицинскими экспертами, продуктовыми командами и дата-сайентистами для перевода сложной клинической логики в чистые, взаимосвязанные структуры и модели данных. — Поиск креативных решений с использованием различных типов баз данных и конвейеров данных для обеспечения согласованности и совместимости медицинских данных. — Разработка и интеграция частей клинического inference engine, основанного на правилах и статистических моделях. — Проектирование и расширение клинических моделей данных с использованием доменных онтологий (например, SNOMED-CT, FHIR, UMLS) для создания богатых, запросных графовых структур. — Перевод исследовательских результатов в масштабируемое, промышленное программное обеспечение в рамках agile-команды. — Тесное сотрудничество с медицинскими экспертами для фиксации клинических рабочих процессов и валидации отображений онтологий. — Формирование технического направления, дизайна схем и лучших инженерных практик в команде. Требования: — Магистр или кандидат наук в области компьютерных наук, математики или смежных областей. — Более 4 лет опыта работы с медицинскими данными или в области data engineering либо соответствующие академические исследования. — Глубокие знания графовых баз данных, языков запросов, алгоритмов поиска и/или систем вывода (например, Neo4j, Memgraph, Cypher, SQL, Datalog). — Обширный опыт разработки на Python и/или TypeScript, комфортное переключение между языками и фреймворками. — Наличие разрешения на работу в ЕС и проживание в ЕС. — Желательно: знакомство со статистикой, формальной логикой и/или машинным обучением. — Опыт работы с электронными медицинскими картами (EHR) и форматами обмена клиническими данными (например, FHIR). — Интерес к области представления знаний и рассуждений (Knowledge Representation and Reasoning). — Опыт самостоятельного управления облачными средами (например, GCP) и CI/CD конвейерами. Условия: — Работа в одной из ведущих европейских healthtech компаний с возможностью влиять на продукт. — Возможность работать удаленно или в офисах в Вене, Будапеште и Берлине. — Выделенный бюджет на обучение и профессиональное развитие. — Культура с плоской иерархией, открытым общением и уважением к мнению каждого. — Участие в виртуальных программах опционов на акции (VSOP). — Возможность приводить в офис своих домашних животных и общаться с офисными собаками. — Гибкие условия работы и поддержка разнообразия и инклюзивности.

Location: Barcelona; Paris Workplace: Hybrid Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Checkout.com http://Checkout.com is looking for an enthusiastic and talented Sales Engineer to join our fast-growing team in Barcelona or Paris to support our clients with integrating our revolutionary online payments platform. This is a Senior Specialist position, and the successful candidate will be responsible for providing technical guidance to our clients, predominantly across the EEA, with a primary focus on Southern Europe, throughout the entire sales lifecycle. As a Sales Engineer, you are responsible for technical ownership of client relationships from initial contact in the sales cycle throughout the solutioning, integration, and go-live stages of the customer journey. The ability to solve business and technical requirements through the application of Checkout.com http://Checkout.com products and solutions is core to the success of the position. Along the way, you'll collaborate closely with various in-house talents across Technology and Business to position our capabilities, products, services and solutions effectively with prospects. The ideal candidate will need to be an independent, high-achieving individual, able to stand out in an entrepreneurial environment and outperform performance targets through personal drive. The role requires clear written and verbal English and Spanish, with the ability to support prospects and merchants across the EEA market, predominantly in Southern Europe. WHAT YOU WILL BE DOING: - Support the commercial team to position Checkout.com http://Checkout.com’s products, solutions, and services, and ultimately, help to win deals. You will be a key partner to Account Executives on all matters related to product, payments, regulation, and tech. - Understand merchant requirements and technical needs, map this to our APIs and products, create solution designs and internal documentation. - Run demos, build “show-me” payment flows, create POCs, customise and create presentations. - Provide thought leadership on all aspects of Payment Performance - Acceptance Rate, Fraud Prevention, Tokenisation, Payment Methods, and others. - Lead technical interactions with merchants, from chats and calls to meetings and workshops until the deal is won. - Support BID management team with RFP and RFI responses. - Enable internal functions, commercial and tech, with market and merchant feedback on product capabilities. Champion product change and improvement. - Being constantly up to date with industry standards, solutions, and tech. - Being an expert of Checkout.com http://Checkout.com’s platform and product. - Support opportunities across the EEA market, predominantly in Southern Europe. ABOUT YOU: - 1-3 years experience as a Sales Engineer / Solutions Architect / Pre-Sales Consultant / Implementation Engineer or TAM. - Experience working in a technical client-facing role. - Drives results with a strong commercial focus and proactive approach. - Clear written and verbal English and Spanish. Able to communicate to both technical (developers, product) and business (payments, finance, c-level) stakeholders. - Able to thrive in a fast-paced environment. - Ability to translate technical jargon into business speak. - Problem-solver. Able to reproduce, isolate and explain issues using logs, API responses, and tests. - Highly organised and able to prioritise shifting workloads and responsibilities effectively. - Familiar with API based integration methods, associated best practices, and related tools/frameworks (REST/JSON APIs, Postman). - Experience with at least one common front-end (pure JavaScript, React, Angular, etc) and back-end (Java, .NET, Python, Node, etc) technology. - Previous exposure to RFI/RFP. - Understanding of end-to-end payment flow. - Payments industry exposure with an understanding of the related rules and regulations and payments schemes. - Experience with 3DS, Network Tokenisation, Apple/Google Pay, Open Banking, or fraud-risk engines. NICE TO HAVE: - Familiarity with PSD2/PSD3/PSR, ISO-8583. - Additional language is a plus French/German preferred - Former engineering, developer, or product manager background. - Held prior roles in E-commerce industry. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Sydney, Australia Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? It’s an exciting time at Fin - especially within our Deployment Services team. We’re helping some of the world’s most innovative companies transform how they support their customers through AI-powered customer service. As a Senior AI Deployment Consultant , you’ll lead our largest and most complex customer deployments, combining world-class project management with hands-on technical configuration of the Fin platform. You’ll be the trusted advisor who ensures our customers achieve value quickly and at scale, guiding them not only to do the foundations, but set a direction on how they measure their impact with AI. You’ll partner with a dedicated team of engineers for complex technical work while managing the overall project strategy, timeline, and delivery. This is a perfect role for someone who thrives at the intersection of technology, customer success, and execution excellence. What will I be doing? Own end-to-end deployment programs for our largest customers, ensuring successful and timely implementation to Fin - acting as a primary point of contact throughout. Hold projects to scope, schedule, and budget that align with each customer’s unique goals and support model and keep GTM partners current on project state. Lead discovery sessions to understand complex customer requirements and translate them into actionable technical and project plans. Own the hands-on configuration of the Fin platform—spanning automation, workflows, and analytics—while orchestrating technical readiness across data migrations, integrations, and security protocols. Partner with Forward Deployed Engineers to solve complex technical hurdles while maintaining autonomy over the vast majority of platform implementation. Coordinate technical readiness activities, including integrations, data migrations, and security reviews. Run projects with operational precision: maintained risk logs, a structured reporting cadence to both customer and internal leadership, clear escalation paths, and documented decisions. Surface risk early enough that it can be mitigated rather than managed. Partner with Sales, Customer Success, Product, and R&D - shaping deployment strategy up front and feeding what you learn in the field back into the roadmap. Contribute to the evolution of our Deployment Services methodology, templates, and best practices. Apply AI tooling to your own delivery work to compress discovery, documentation, and asset creation - and share what works back to the team. What skills do I need? 5+ years of experience in customer-facing implementation, deployment, or professional services roles, ideally within SaaS or AI technology companies. A track record of delivering large, complex, multi-stakeholder projects on time and on budget with low escalation rates - and a clear point of view on the operating discipline that makes that repeatable. Hands-on technical capability. You can configure platforms yourself, and you're fluent enough in APIs, data flows, and integration patterns to know when a requirement is a config problem versus an engineering one. Exceptional communication and relationship-building skills, capable of influencing both executives and technical stakeholders. Strong judgment under ambiguity - you can prioritize, decide, and move when requirements aren't fully formed, and you're resilient in a fast-paced, changing environment. Daily use of AI tooling in your own workflow - discovery synthesis, documentation, customer assets - and the ability to show how it's changed your delivery pace. We'll ask about this. Experience with Intercom Helpdesk, Zendesk, Salesforce, or similar CX platforms is a plus. How Will I Be Measured? Automation Rate - Are you driving your customers to achieve high adoption of Fin? CX Score — do customers rate the deployment experience highly? On-time, on-budget delivery — do your projects land against the timeline and scope you committed to? Time-to-value — how quickly do customers get to a working, measurable Fin deployment? Contribution to the team — the templates, mentorship, and best practices you leave behind. #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Задачи: — Сотрудничество с бизнес-стейкхолдерами для понимания их потребностей и требований — Анализ и документирование бизнес-процессов, рабочих процессов и функциональностей систем — Проектирование и предложение технических решений, соответствующих бизнес-целям и технологической стратегии FxPro — Разработка детальных системных спецификаций, диаграмм и блок-схем для руководства разработчиками — Тесное взаимодействие с командами разработки для контроля реализации системных решений — Обеспечение бесшовной интеграции новых систем с существующей инфраструктурой и платформами Требования: — Опыт работы системным аналитиком не менее 5 лет — Экспертиза в анализе и документировании требований для backend-сервисов — Опыт создания детальных системных спецификаций, wireframes, диаграмм и блок-схем — Владение созданием комплексной технической документации — Знание системной архитектуры — Опыт работы с RESTful APIs, GraphQL и интеграцией сторонних API — Знание отраслевых стандартов и требований регуляторов — Сильные навыки решения проблем и устранения неполадок — Отличные устные и письменные коммуникативные навыки — Способность к сотрудничеству и работе в команде — Аналитическое мышление — Адаптивность к изменяющимся бизнес-требованиям — Свободное владение английским и русским языками Желательно: — Глубокие знания торговых систем — Понимание принципов UX/UI дизайна Условия: — Отличный компенсационный пакет — Медицинская страховка — Пенсионный фонд — Собственный спортзал с персональным тренером — Бесплатное ежедневное питание, закуски и напитки — Корпоративная дисконтная карта на различные товары и услуги — 21 день ежегодного отпуска и 10 дней больничных в год — Трансфер из Лимассола — Подарок на день рождения — Бонус на релокацию и поддержка в оформлении визы/разрешения на работу

Задачи: — Владение глубоким анализом производительности и оптимизацией стека блокчейн-нод, выявление причин потребления ресурсов и внедрение системных исправлений — Создание систем наблюдения, проверки состояния и автоматического переключения для блокчейн-нод — Руководство инициативой по оптимизации размеров кластера нод, профилирование рабочих нагрузок и установление моделей емкости — Взаимодействие с инженерами по интеграции протоколов, командами кошельков и индексаторов — Определение и внедрение SLO и SLI для сервисов нод — Поддержка обновлений протоколов и операций нод с акцентом на производительность Требования: — Опыт разработки ПО не менее 5 лет с глубокими знаниями в анализе производительности систем, профилировании и оптимизации инфраструктуры — Практический опыт эксплуатации распределенных систем в масштабе (диагностика узких мест, настройка производительности, управление емкостью) — Владение backend-программированием (предпочтительно Go) и системными инструментами (pprof, Datadog, Prometheus, Grafana) — Опыт снижения затрат на инфраструктуру через инженерную оптимизацию, а не просто масштабирование ресурсов — Желателен опыт работы с блокчейн-нодами, протоколами консенсуса или криптоинфраструктурой

Задачи: - Разрабатывать и развивать frontend на React / Next.js, реализовывать интерфейсы по Figma с TailwindCSS - Строить мультидоменную и мультивитринную архитектуру, конфигурационный подход для storefront - Интегрировать frontend с backend на Django через REST API, работать с платёжными и subscription API, webhook-события - Реализовывать ключевые страницы: Landing, Pricing, Checkout, Login, My Account; GEO-зависимый контент - Оптимизировать Core Web Vitals, обеспечивать SEO и кроссбраузерность Требования: - От 3 лет коммерческого опыта с React, уверенное знание Next.js и TypeScript, опыт с TailwindCSS - Уверенная работа с REST API, опыт интеграции frontend с backend на Django - Опыт с SSR / SSG, понимание routing и middleware в Next.js - Понимание принципов multi-tenant / multi-domain архитектуры, feature flags - Будет плюсом: интеграция с платёжными системами, recurring payments, финтех Условия: - График: 5/2 с 10 до 18, отпуск 21 день, оплачиваемый больничный - Формат работы: удалённо

О нас и проекте: Разрабатываем LLM-агентную платформу, которая от имени пользователя ведет переписку в мессенджерах. Решаем нетривиальные задачи на стыке AI, автоматизации и безопасности. Задачи: — Бэкенд и API для оркестрации LLM-агентов (память диалогов, мультиязычность, профили пользователей, эскалация на оператора); — Интеграция агентов с мессенджерами: обработка квалификации, возражений, передача живому оператору; — Разработка личного кабинета для клиентов: онбординг, дашборд с метриками качества AI, портрет пользователя; — Работа с фермой устройств: автоматизация на Playwright/Android, обход поведенческого антидетекта (в т.ч. для сбора данных и тестирования); — Обеспечение безопасности: шифрование данных, работа с KMS, ведение журналов доступа к чувствительной информации. Требования: — Опыт Python в продакшене от 3 лет — уверенное владение и архитектурные решения; — Реальный коммерческий опыт с LLM-приложениями (от прототипа до прода); — React/Next.js на уровне, достаточном для самостоятельной разработки ЛК и дашборда; — Практический опыт с браузерной автоматизацией (Playwright/Puppeteer) и/или Android-фермой; — Понимание устройства антифрод-систем и способов их обхода; — Готовность работать с чувствительными данными, знание подходов к шифрованию и управлению ключами. Условия: — Полностью удаленный формат; — Гибкий график — 4 часа в день (20 часов в неделю), можно разбивать по своему усмотрению в рамках рабочего дня (по согласованию с командой); — Заработная плата — 60 000 ₽ на руки; — Уровень — Lead / Senior (высокая самостоятельность и ответственность); — Участие в развитии внутренней ИИ-экосистемы для студии с 10+ активными проектами; — Детали проекта и конкретные задачи обсуждаем на собеседовании.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP believes in the power of humans to transform how they feel, perform and age; we serve the aspiring! WHOOP is seeking a Senior Manager, Field Quality to lead field quality across our Hardware and Accessories & Apparel (A&A) portfolio and oversee our Failure Analysis function and Quality Lab. Reporting to the Vice President of Hardware Quality, you will translate the broader quality strategy into scalable programs, operating mechanisms, and measurable outcomes that improve product quality and the member experience. You will connect field performance, member feedback, failure analysis, manufacturing and supplier data, and product insights to identify emerging risks, drive root cause and corrective action, and ensure learnings from the field influence future product and process decisions. This is a highly cross-functional leadership role requiring both deep quality expertise and the ability to lead through others. You will build and develop a high-performing team, establish clear quality metrics and escalation mechanisms, and partner across Supplier Quality, NPI Quality, Hardware Engineering, Accessories and Apparel, Reliability Engineering, Supply Chain, Global Operations, Membership Services, and our manufacturing and supplier network to drive continuous improvement across the WHOOP product ecosystem. RESPONSIBILITIES: - Lead the field quality strategy and execution across Hardware and Accessories & Apparel, establishing KPIs, operating mechanisms, and cross-functional programs that identify emerging quality issues, prioritize risk, and drive measurable improvements in field performance and member experience. - Own the Failure Analysis function, Early Field Failure Analysis (EFFA) program, and Quality Lab, establishing scalable processes and technical capabilities to rapidly characterize failures, determine root cause, and translate findings into actionable design, manufacturing, supplier, and process improvements. - Build a closed-loop quality system connecting the field back to product development and manufacturing, synthesizing field returns, member feedback, reliability results, manufacturing trends, supplier performance, and failure analysis insights to identify systemic issues and influence upstream quality strategy and product decisions. - Lead cross-functional resolution of complex and high-impact quality issues, partnering with Analytics, Supplier Quality, NPI Quality, Hardware Engineering, Accessories and Apparel, Reliability Engineering, Supply Chain, Global Operations, Membership Services, contract manufacturers, and suppliers to establish containment, root cause, corrective and preventive actions, and verification of effectiveness. - Establish data-driven field quality management and executive visibility, defining metrics, escalation criteria, and review mechanisms in partnership with Analytics that enable teams and leadership to understand quality performance, make informed trade-offs, anticipate risk, and focus resources on the highest-impact opportunities. - Build, lead, and develop a high-performing Field Quality and Failure Analysis team, setting clear priorities and performance expectations, developing technical and leadership capability, and creating scalable systems that enable the organization to operate with increasing autonomy, speed, rigor, and accountability. QUALIFICATIONS: - 10+ years of experience in field quality, quality engineering, failure analysis, reliability, manufacturing quality, or a related discipline supporting consumer electronics, wearable technology, apparel/accessories, medical devices, or other complex consumer products. - Demonstrated experience leading teams and complex quality programs across multiple products or product categories, with the ability to translate broad quality objectives into clear priorities, operating mechanisms, and measurable outcomes. - Deep expertise in structured problem-solving and failure analysis methodologies, including root cause analysis, 5 Why, 8D, FMEA, DOE, Pareto analysis, CAPA, and related quality tools. - Experience building or leading failure analysis capabilities and laboratories, including the effective application of analytical techniques and equipment to characterize product failures and drive root cause determination. - Strong analytical acumen with experience using field performance, return, manufacturing, supplier, and customer/member data to identify trends, assess risk, prioritize investigations, and influence decisions. - Proven ability to lead complex cross-functional initiatives and influence technical and business stakeholders across Engineering, Product Development, Operations, Supply Chain, manufacturing partners, and suppliers in a fast-paced global environment. - Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Manufacturing Engineering, Quality Engineering, Materials Science, or a related technical discipline, or equivalent relevant experience. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $180,000 - $215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Remote USA Workplace: Remote Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD As our Senior Site Reliability Engineer II, you’ll step up as the ultimate guardian of reliability across our critical product domains and services. You will architect high-performing platforms, turn complex systems into resilient superpowers, and collaborate directly with engineering leaders to set bulletproof standards. By keeping our systems seamlessly scalable, you directly power the AI-driven learning experiences used by millions around the globe. ⚡ THE DAY-TO-DAY - Master the Domain: Partner with engineering teams to set crystal-clear reliability objectives (SLIs/SLOs) and build long-term reliability roadmaps for core services. - Tackle High-Stakes Incidents: Lead cross-service incident responses during critical outages, guiding teams with confidence and translating chaos into clear, durable solutions. - Architect Resilient Futures: Drive the company-wide adoption of cutting-edge reliability patterns, deployment safety capabilities, and infrastructure scalability. - Elevate Observability: Build and refine advanced observability tools to catch issues before they reach production. - Champion Engineering Balance: Influence product design and system architecture to maintain the ultimate equilibrium between feature velocity and rock-solid reliability. - Empower the Team: Mentor senior engineers, elevate best practices, and play a pivotal role in recruiting top-tier talent to the SRE organization. 🧠 YOUR SUPERPOWERS - Battle-Tested Expertise: Bring 6–10 years of SRE, DevOps, or production engineering experience with hands-on mastery of complex distributed systems. - Cloud Architecture Wizardry: Command cloud infrastructure (AWS preferred), container orchestration, and Infrastructure as Code to keep modern platforms humming. - Engineering Precision: Craft clean, high-performing code in at least one major language alongside a knack for automating away repetitive tasks. - Incident Command Ready: Show a proven track record of steering large-scale incident management and driving high-impact reliability programs. - Cross-Functional Influence: Communicate effortlessly across engineering, product, and customer-facing teams to align tech goals with business impact. 🎁 BONUS POINTS - Next-Gen Automation: Advanced experience designing self-healing infrastructure patterns and zero-downtime deployment pipelines. - Mass-Scale Experience: Prior history scaling multi-tenant SaaS environments in rapid-growth markets. U.S. citizenship is required for this position because its duties require access to restricted federal customer environments that limit access to U.S. citizens. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia If you want to build and own the systems that decide what JetBrains customers are entitled to use and bill them accurately for it, this is for you. You will focus on designing backend services, keeping complex commercial flows correct, and tackling hard distributed systems challenges on the critical path of every paid request. 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 At JetBrains, the Cloud Platform department builds the underlying infrastructure that powers authentication, paid capabilities, usage metering, and accounting. Within this department, the Licensing & Billing team sits right at the center of our commercial model, turning what a customer buys into what they are actually allowed to use, and accounting for that consumption accurately enough to bill on. The complexity of our entitlement, quota, and metering systems continues to grow. In this role, you will own the correctness and evolution of these backend services, take full ownership of end-to-end data flows, tackle distributed consistency across unreliable upstream systems, and ensure revenue-affecting data migrations happen cleanly without taking services offline. Day to day, you will: Design, build, and operate backend services that decide what a customer is entitled to and what their usage costs. Own flows end to end, from ingesting licensing and purchase data from upstream systems to enforcing quotas and recording consumption. Evolve our domain model to handle new commercial structures, combining seat-based plans and usage-based models. Design integrations with external systems, ensuring correctness through idempotency, ordering, reconciliation, and eventual consistency. Plan and execute live data migrations using feature flags, dual writes, backfills, and verification at every stage. Build observability into our systems by defining invariants, metrics, and alerts to catch silent divergence before customers do. Design internal APIs with explicit focus on versioning, backward compatibility, and developer experience for other JetBrains teams. Improve system performance and reliability under continuous production load while decommissioning legacy subsystems. Write integration tests against real dependencies and maintain reliable test infrastructure. Investigate production incidents, find root causes, and follow through on lasting fixes. What you’ll bring An engineer’s dedication to accuracy, especially in domains where system errors have direct financial impact. Pragmatic judgment when designing distributed systems where correctness under unreliable delivery is the main constraint. A habit of trusting metrics, traces, and logs to understand production behavior rather than relying on assumptions. Comfort navigating and simplifying large existing codebases containing legacy decisions. Clear, direct communication skills to agree on API contracts across teams with different priorities. A focus on testing as an essential design tool rather than an afterthought. What you’ll need A proven track record of building and operating backend services on the JVM platform using Kotlin or Java. A solid working knowledge of relational databases, including transactions, isolation levels, locking, indexing, and live schema migrations (PostgreSQL preferred). A deep understanding of distributed systems patterns, such as idempotency, retry strategies, eventual consistency, and data reconciliation. Practical experience making live data migrations or system changes without downtime using feature flags and staged rollouts. Experience designing versioned, backward-compatible APIs for other engineering teams. Hands-on experience with event-driven architectures and message brokers like Kafka. The ability to diagnose, debug, and resolve production incidents in complex environments. Proficiency in both written and spoken English. What success looks like Success in this role means building a bulletproof entitlement and metering foundation that product teams can trust without hesitation. You will have successfully migrated live commercial systems to support new billing models without downtime or data divergence. Silent errors will be caught automatically by system invariants before affecting users, and internal teams will integrate seamlessly with your clean, versioned APIs. 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. (keep if relevant for the role) 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-KT1 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.

Proxet is a company that provides product and platform engineering, data engineering, AI/ML, and cloud transformation services. Languages required: English (fluent), Polish (fluent). Work format: Remote (Poland).