Вакансии

Quantori разрабатывает программное обеспечение для биотехнологических и фармацевтических компаний. Среди клиентов компании Pfizer, LGC, The Jackson Laboratory. В компании работает более 500 человек, инвестиции составляют 15 миллионов долларов. Требования: — Опыт работы не менее 6 лет — Знание Python, R, SQL, Spark, dbt — Уровень английского языка не ниже B2 Формат работы: удалённо.

Задачи: — Развитие личного кабинета AI-тренеров: сбор данных из разных источников, настройка систем контроля качества, расчет качества и производительности, отображение данных на дашбордах, настройка пайплайнов поставки данных, написание YQL-скриптов и кода на Python, построение дашбордов в DataLens. — Инфраструктурные задачи: создание сред для обучения агентов, написание кода, развёртывание серверов и докер-образов с открытым кодом. — Контроль ресурсов аналитиков: выдача вычислительных ресурсов, мониторинг использования и оптимизация распределения. — Разработка инфраструктуры бенчмарков: помощь аналитикам в ускорении и упрощении создания бенчмарков для различных сценариев, работа на Python. Требования: — Умение писать на Python и SQL. — Любовь к работе с данными. Будет плюсом: — Опыт построения ETL-процессов, в том числе с Airflow. — Опыт работы с BI-системами (DataLens, Tableau, Power BI и др.). — Опыт работы с YTsaurus или аналогами. — Настройка CI/CD. Условия: — Бесплатное участие сотрудников Яндекса в профильных конференциях. — Школа подготовки спикеров для выступающих на конференциях. — Другие бонусы, полный список доступен на сайте компании.

Location: Toronto, Ontario Workplace: Hybrid 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 a Senior Product Engineer II, you bring deep expertise in either backend or frontend engineering alongside strong working competency across the full stack. You own complex features and technical initiatives end to end, working across customer facing applications, services, APIs, and integration boundaries to deliver complete solutions. Your primary strength may be building cloud native backend systems and event driven architectures, or architecting complex frontend applications and customer experiences. In either case, you understand how the broader system fits together and can confidently work across boundaries when needed. Beyond your individual technical output, you function as a technical anchor within your squad. You help drive technical direction, mentor peers, coordinate dependencies, and ensure the team can consistently deliver high quality software without creating unnecessary knowledge silos.   THE DAY-TO-DAY ⚒️ - Own complex initiatives end to end Drive multi sprint technical initiatives from architecture through implementation, production deployment, and ongoing evolution. - Build across the stack Navigate frontend applications, APIs, backend services, data layers, and platform integrations to deliver complete outcomes. - Set technical direction Bring deep expertise in your primary discipline while shaping architecture decisions and engineering patterns across the broader system. - Make durable technical decisions Evaluate complex tradeoffs, manage technical risk, and balance immediate delivery with long term scalability and maintainability. - Anchor the squad Break down complex work, coordinate technical dependencies, unblock others, and help the team maintain delivery momentum. - Drive engineering excellence Raise the bar for testing, CI/CD, observability, architecture, code quality, and pragmatic technical debt management. - Partner across functions Work with Product, Design, QA, SRE, platform teams, and engineering groups to translate customer problems into reliable solutions. - Level up the team Mentor engineers through architecture discussions, design reviews, code reviews, pairing, and knowledge sharing. YOUR SUPERPOWERS⚡️ - Engineering depth and breadth Six or more years of software engineering experience, with deep expertise in either backend or frontend engineering and strong working competency across the broader stack. - End to end ownership A proven record of owning complex technical initiatives from architecture through production deployment and operation. - System design expertise Strong understanding of scalable application architecture, APIs, distributed systems, cloud services, and maintainable production software. - Technical leadership The ability to guide engineers through uncertainty, establish effective architecture patterns, and raise engineering standards. - Integration fluency Comfort navigating unfamiliar systems and safely changing frontend, backend, and integration boundaries. - Engineering excellence Strong experience with automated testing, CI/CD, observability, monitoring, and pragmatic technical debt management. - Collaborative communication The ability to explain tradeoffs, challenge assumptions constructively, and align Engineering, Product, Design, QA, and platform stakeholders. BONUS POINTS 🌟 - Cloud and event driven systems Cloud native AWS applications using serverless services, asynchronous workflows, distributed systems, or event driven architecture. - Infrastructure and delivery Infrastructure as Code, CI/CD pipelines, deployment strategies, or production operations. - Frontend architecture Angular, React, or comparable frameworks, including application architecture, state management, design systems, performance, or accessibility. - Backend breadth Node.js and TypeScript services or polyglot environments that include Go, Python, PHP, or other backend technologies. - Production observability Monitoring, tracing, logging, metrics, incident diagnosis, and production operation. - Technical growth Experience acting as a technical lead or clear progression toward broader Staff level leadership. OUR STACK 🛠️ Our product teams work primarily with TypeScript across frontend and backend development. Frontend applications include Angular and modern web technologies. Backend and platform systems span Node.js, TypeScript, Go, PHP, Python, AWS, REST APIs, event driven architectures, relational and NoSQL databases, CI/CD, and modern observability tooling. You do not need deep expertise in every technology we use. We are looking for deep expertise in a primary discipline, strong software engineering fundamentals, and confidence working across frontend, backend, and integration boundaries. 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.

Требования: — Опыт работы аналитиком от 2 лет. — Высшее образование: техническое, математическое, экономическое или IT-направление. — Практический опыт сбора, анализа и формализации требований. — Уверенное владение BPMN 2.0. — Знание UML: диаграммы последовательности, активности, вариантов использования. — Опыт написания User Story, Use Cases, критериев приёмки. Знание BDD будет преимуществом. — Понимание клиент-серверной архитектуры и принципов взаимодействия frontend и backend. — Опыт проектирования REST API, понимание SOAP, JSON, XML. — Знание SQL (DDL, DML). — Опыт проектирования моделей данных и построения ERD. — Понимание принципов микросервисной архитектуры и интеграционного взаимодействия. — Опыт подготовки технических заданий, проектной документации и спецификаций требований (SRS/BRD). — Опыт работы с Confluence и Jira. Будет плюсом: — Опыт работы с государственными заказчиками и документацией по ГОСТ. — Знание Java, Python, JavaScript или скриптов для валидации данных. — Опыт работы с BI-системами (Polymatica, Grafana). — Знание нереляционных баз данных. — Понимание SDLC, Agile/Scrum. — Опыт работы с брокерами сообщений: Kafka, RabbitMQ. — Навыки прототипирования в Figma, Axure. Задачи: — Собирать, анализировать и формализовывать требования, выявлять потребности и ограничения заказчика. — Моделировать бизнес-процессы в BPMN/UML, описывать User Story, Use Cases и критерии приёмки. — Проектировать REST/SOAP API и интеграции, описывать контракты JSON/XML, OpenAPI/Swagger. — Участвовать в проектировании архитектуры, моделей данных и ER-диаграмм, работать с SQL. — Разрабатывать ТЗ, ЧТЗ, ПМИ и другую проектную документацию. — Ставить задачи разработчикам и консультировать команду по требованиям. — Согласовывать решения с заказчиком, проводить демонстрации и участвовать в приёмке. — Разрабатывать сценарии функционального тестирования и контролировать соответствие реализации требованиям. — Готовить пользовательскую документацию и обучать заказчика работе с системой.

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. Требования: 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. Условия: Формат: полный день, удаленно; Длительность: бессрочно; Локация: строго только с территории РФ; Зп: от 200.000 (ТК или ИП)

Location: Mississauga Workplace: hybrid At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. Team Summary This team will serve as the product owner for the machine learning platform capabilities within PointClickCare, working closely with other engineering teams across the organization to identify, build and support traditional machine learning (ML) and hybrid ML/LLMsolutions. This centralized team with deep specialization will closely integrate with key horizontal partners to ensure delivery of safe, scalable, and high-impact AI products. Job Summary The Senior Machine Learning Systems Engineer will work closely with the Product and Engineering teams to design, build, and operate the machine learning platform that enables teams across PointClickCare to develop, deploy, and scale ML solutions. The Senior AI Machine Learning Systems Engineer will also build and maintain the pipelines, tooling and infrastructure for model training, deployment, serving, and monitoring that underpin our AI products. Key Responsibilities   Collaborate with product and engineering teams to translate ML needs into reliable, reusable platform capabilities. Design and build scalable data and ML pipelines that support model training, evaluation, deployment, and serving. Develop and maintain ML Ops tooling and workflows, including CI/CD for models, model registry, feature stores, and experiment tracking. Ensure the reliability, observability, and performance of ML systems in production through monitoring, alerting, and automated remediation. Implement comprehensive security mechanisms for the ML platform, including authentication, role-based access control, audit logging, and compliance monitoring. Securely integrate the platform with existing systems, APIs, and data sources with secure communication protocols, and optimize infrastructure for cost, performance, and scale. Mentor engineers on the teams and promote reusable platform patterns and best practices.   Qualifications & Skills   Expert level in Python and Java, and strong software engineering fundamentals. Experience designing and building ML platforms and MLOps workflows, with familiarity with tools such as MLflow, Kubeflow, Ray, and model-serving frameworks. Experience with cloud platforms (Primarily Azure, secondarily AWS and GCP) Experience with ML runtime containerization, optimization, and orchestration (Docker, Kubernetes).   Preferred   Bachelor’s degree or higher in Computer Science, Machine Learning, or a related field. Working familiarity with Azure Machine Learning components and Databricks processing and serverless environments Experience implementing security at scale including role-based access control, multi-factor authentication, network security best practices, and compliance monitoring. Experience optimizing large model training and inference (including LLM serving) for performance and cost. #LI-AV1 #LI-Hybrid PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $174,000-$218, 000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role

Команда развивает технологии для городских сервисов и еком-направления, создавая решения для обработки больших массивов данных о товарах, улучшения поиска и рекомендаций, а также автоматизации рутинных процессов с помощью современных AI-инструментов. Задачи: — Участие в создании пайплайна автоматизации для проекта определения дублирующихся товаров по изображениям, включая проработку контекстной базы, настройку конвейеров обработки данных и оценку релевантности рекомендательной выдачи. — Работа с платформой для разметки и применение знаний в области машинного обучения для улучшения качества моделей. — Участие в создании и развитии сценариев (скилов) для AI-агентов, используемых в проектах по разметке данных, для повышения эффективности аналитики и разметки. Требования: — Базовое понимание принципов машинного обучения и искусственного интеллекта, интерес к автоматизации процессов. — Владение основами алгоритмического мышления; знакомство с Python или другим языком программирования на уровне чтения кода и написания скриптов. — Умение структурировать информацию и самостоятельно разбираться в новой предметной области для эффективной постановки задач AI-инструментам. — Готовность взаимодействовать со смежными командами, включая ML-разработчиков, для дообучения моделей, а также с заказчиками для защиты предлагаемых решений и методов автоматизации.

Задачи: - Сбор требований с бизнес-заказчиков и анализ источников данных - Разработка, реализация и поддержка типовых потоковых интеграционных решений на стеке технологий: Trino, Iceberg, S3, Spark, Apache Airflow, Kafka, Cosmos, Flink - Оперативное реагирование на информацию о проблемах в зоне ответственности, выполнение типовых задач в установленный срок - Поддержание в актуальном состоянии документации типовых интеграционных решений платформы больших данных, предоставление отчетности руководителю Требования: - Общее представление о стеке технологий Lakehouse - Понимание различия работы между BigData/Lakehouse и с данными обычного размера - Знание SQL (индексы, функции, оптимизация, профилирование производительности) - Опыт работы с любой реляционной БД (Oracle, Postgres, MySQL, MsSQL, DB2 и т.п.) - Умение работать с Git (знание команд git pull/commit/push) - Опыт работы с DBT, Cosmos - Представление о работе с Trino - Понимание устройства Iceberg, форматов данных - Понимание работы с minio или любого другого хранилища на основе S3 - Опыт использования систем ведения проектов и документации - Знания основ программирования (JAVA, Python)

Задачи: — Работа с доменами (регистрация, DNS-настройки, Cloudflare) - основная часть работы; — Техническая поддержка сотрудников, мониторинг состояния внутренних систем и сервисов; — Разбираться с серверами, хостингом, аналитикой и трекерами; — Настройка аналитики и автоматизации рабочих процессов, тестирование и отладка сервисов; — Разработка и сопровождение небольших проектов на Python; — Интеграции для сбора статистики, анализа горячих зон, обработки лидов. Требования: — Опыт работы с доменами (регистрация, DNS, Cloudflare); — Техническая поддержка сотрудников и мониторинг состояния внутренних систем и сервисов; — Работа с серверами и хостингом лендингов, домены/DNS, настройка технической инфраструктуры; — Настройка аналитики, автоматизация рабочих процессов, тестирование и отладка сервисов; — Разработка и сопровождение небольших проектов на Python; — Интеграции для сбора статистики, анализа горячих зон (heatmap) и обработки лидов. Будет плюсом: — Опыт с Cloudflare, трекерами (Keitaro/Binom), API-интеграциями; — Понимание сферы арбитража/adtech; — Опыт работы с серверами/VPS, хостингом. Условия: — Наставничество: поддержка на всех этапах работы; — Удалённая работа: можно работать из любого города и страны; — Карьерный рост; — Творческая свобода; — Молодой коллектив, лояльное руководство.

Location: United Kingdom (Remote); United Kingdom (Hybrid); Spain Workplace: Remote Most money apps talk at you. Cleo talks back ✨ We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance. The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money. We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in. Follow us on LinkedIn https://www.linkedin.com/company/cleo-ai/ for new features and the occasional roast 🔥 MEET THE TEAM 👥 Here at Cleo, we have ~200 Engineers organised into Pillars. ✨ Our stack spans a Ruby on Rails monolith, a single React Native (TypeScript) app frontend, Python for machine learning services, and PostgreSQL, all hosted on AWS and shipped through Kubernetes - backend goes out multiple times a week, app releases to Google and Apple at least weekly. To thrive here, our engineers proactively use our Engineering Principles to guide daily decisions, take ownership of problems beyond their own squad to drive broader impact, and actively drive their own learning, development, and growth.   ABOUT THE ROLE ✍️ We’re hiring a Technical Lead Manager to lead a cross-functional product squad, combining hands-on technical leadership with people management. You’ll lead a team of 4–5 engineers, working closely with Product, Design, Data and other technical leaders to build products that improve our users’ financial health. - Lead and develop a squad of 4–5 engineers, balancing hands-on technical contribution with line management, coaching and support for individual growth. - Partner with Product Managers, Staff Engineers and other technical leaders to shape a clear, feasible roadmap and deliver against squad OKRs. - Define and steer the technical direction of your squad, helping the team make pragmatic trade-offs across speed, quality, scalability and long-term maintainability. - Create the conditions for effective delivery by providing clarity, unblocking progress and establishing healthy, sustainable ways of working. - Run regular 1:1s, provide clear and actionable feedback, and support engineers through development, performance conversations and growth planning. - Stay close to the code and contribute hands-on to our Ruby on Rails monolith, using practices such as automated testing, observability, A/B testing and feature flags. - Collaborate across Engineering, Product, Design and Data to deliver and iterate on features that have a meaningful impact on our users’ financial health. WHAT WE'RE LOOKING FOR 🕵️ - Solid experience with Ruby on Rails, building data models, APIs, and business logic services in a production monolith - Experience leading technical delivery within a product squad or engineering team, helping shape and scope work through to delivery - Experience line managing and coaching engineers, including giving feedback, supporting development and navigating performance conversations - Strong technical judgement, with the ability to balance delivery speed, technical quality, scalability and longer-term investment - Comfortable delivering with agile methodologies and practices like automated testing, observability, A/B testing, and feature flags - A collaborative approach — you work well with Product, Design, Analytics and Engineering partners, and enjoy shaping work beyond just the technical bits - A track record of helping teams build healthy habits, improve ways of working and deliver meaningful outcomes - Alignment with our company values https://web.meetcleo.com/life-at-cleo and engineering principles https://web.meetcleo.com/blog/cleo-engineering-principles WHAT WE OFFER We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements. For the full breakdown on what's available in your location, visit our Candidate Hub https://meetcleo.notion.site/Cleo-Candidate-Hub-3b95c63b874580e9a068fdc6c8929ebf 👈 WHAT MATTERS Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits. We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know. We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!

В рамках данной позиции специалист будет заниматься автоматизацией процессов, отчетности и аудита, разрабатывать внутренние python-приложения для сбора данных из банковских IT-систем, сопровождать категорирование автоматизированных систем, агрегировать данные и рассчитывать показатели защищенности. В обязанности входит проведение внутреннего аудита безопасности, проверка соответствия процессов разработки и эксплуатации информационных систем требованиям регуляторов, моделирование угроз и оценка рисков, создание детальных моделей угроз по методике ФСТЭК, а также обеспечение соответствия законодательству, включая полный цикл управления объектами критической информационной инфраструктуры (КИИ). Специалист будет заниматься категорированием, отправкой сведений во ФСТЭК и НКЦКИ, актуализацией моделей угроз после изменений архитектуры сервисов, подготовкой отчетной документации для внешних проверок, разработкой внутренней нормативно-правовой базы и обновлением организационно-распорядительных документов в соответствии с изменениями законодательства. Также предусмотрена AI-поддержка бизнес-процессов с использованием технологий больших языковых моделей (LLM) для автоматизации анализа изменений в законодательстве, составления матриц применимости требований и подготовки аналитических материалов. Эксперт будет сопровождать команды разработки и поддержки, осуществлять постоянный мониторинг исполнения требований регулятора и консультировать команды банка по вопросам развития систем в соответствии с законодательством. Требования включают высшее профильное образование в области информационной безопасности, профессиональную переподготовку по программам, согласованным с ФСТЭК России, опыт работы с системой защиты объектов КИИ не менее двух лет, уверенное владение python с использованием библиотек pandas и numpy, знание фреймворков и инструментов SQLAlchemy, OpenPyXL, Django/Flask, навыки интеграции с внешними сервисами через RESTful API (SIEM, SOAR, Vulnerability Scanners), опыт работы с CI/CD и системами контроля версий (Git/GitLab), умение создавать дашборды и визуализации данных (Power BI, Tableau, Grafana). Кандидат должен хорошо разбираться в российском законодательстве в сфере КИИ, уметь самостоятельно отслеживать изменения в законодательстве и корректировать внутренние процессы, иметь опыт внедрения решений на основе больших языковых моделей (GPT, BERT и др.), уметь формулировать эффективные промпты для генерации текстов, вычитки документации, создания чек-листов и аналитики, а также понимать этические аспекты и ограничения применения искусственного интеллекта в вопросах безопасности.

Задачи: — Проектировать и разрабатывать RESTful API с использованием FastAPI — Проектировать, оптимизировать и поддерживать схемы и запросы PostgreSQL — Писать unit и интеграционные тесты для обеспечения надежности и покрытия кода — Создавать и поддерживать CI/CD пайплайны для автоматического тестирования и деплоя — Контейнеризировать и оркестрировать сервисы с помощью Docker и Kubernetes — Реализовывать аутентификацию, авторизацию и практики безопасного кодирования (валидация ввода, управление секретами, рекомендации OWASP) — Интегрировать AI возможности в backend системы с использованием MCP — Оптимизировать производительность приложений и эффективность запросов к базе данных — Разворачивать и мониторить сервисы в облачной инфраструктуре — Сотрудничать с frontend и продуктовыми командами для интеграции backend возможностей — Поддерживать версионированные и хорошо документированные кодовые базы Требования: — Опыт backend разработки от 3 лет (middle и выше) — Уверенное владение Python и FastAPI — Опыт работы с PostgreSQL: проектирование схем, индексация, оптимизация запросов, миграции — Опыт написания unit тестов (pytest или аналог) и следование TDD — Опыт создания и поддержки CI/CD пайплайнов (GitHub Actions, GitLab CI или аналог) — Опыт работы с Docker и Kubernetes для контейнеризации и деплоя — Понимание принципов и лучших практик REST API — Знания основ безопасности приложений: аутентификация/авторизация, шифрование данных, сканирование уязвимостей, безопасный дизайн API — Владение Git и практики совместной разработки — Владение языками: узбекский C1, английский B2 и выше Будет плюсом: — Опыт работы с MCP для интеграции AI инструментов/агентов в backend — Async Python (asyncio, SQLAlchemy async или аналог) — Очереди сообщений: RabbitMQ, Kafka или Redis — Облачные платформы: AWS, GCP или Azure — SQLAlchemy ORM и Alembic миграции — Кэширование: Redis, Memcached

Location: Spain; Poland; Cyprus; United Kingdom; Germany; Netherlands Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. We are looking for a Senior Treasury Manager to build and run Finom's treasury function. Finom safeguards a significant book of customer funds across its regulated entities. Net interest income on that book is a meaningful revenue line, and it will grow. Today the function is up and running: the money is placed, the investment policy is in place, and a large part of the book sits with an external asset manager. What we are building now is the machinery around it — an evidenced limit framework, look-through into what our managers actually hold, automated investment accounting, and a reconciled NII number we can defend to an auditor and a regulator. That is the job. You will take part in building it, and you will run it while it is being built. This is a hands-on role at the intersection of regulation, liquidity, and commercial impact — not a back-office position. It suits someone who has done this before in a regulated environment and wants to do it again without four layers of committee above them. What you'll own Liquidity and funding Daily liquidity positioning and float management across entities and accounts Intraday funding of payment channels; nostro and correspondent account management Collateral and minimum-balance obligations across card schemes, T2, and credit providers Contingency funding — the playbook for the day we need €20m by tomorrow morning A daily treasury balance sheet — net liquidity and net capital available — that reconciles Safeguarding and portfolio Portfolio management of safeguarded client funds: term deposits, MMFs, short-dated debt, held directly and via external managers Safeguarding adequacy: shortfall detection, top-up execution, same-currency discipline Instrument eligibility screening under CRR risk-weight, maturity and WAL constraints, and UCITS/MMF rules Independent, evidenced validation that externally managed allocations sit inside mandate — position-level look-through, daily monitoring of concentration, maturity, WAL and credit quality, breach escalation NII forecasting, attribution, and reconciled performance reporting; treasury inputs into the financial model and company forecast Governance and controls Ownership of the investment policy, limit framework, and eligible-instrument register Treasury governance: decision pack, agenda, decision log, and delegated-authority register Pre-deal checks and post-trade evidencing, designed so that the first line executes and the second line challenges Covenant tracking across credit facilities Regulator, external audit, and second-line engagement on treasury and safeguarding matters Systems and data Selection and implementation of investment accounting and treasury tooling — a Clearwater/Advent-class implementation is already in flight and will be yours Custodian, asset-manager and bank data feeds; API connectivity where it exists and pragmatic alternatives where it doesn't Replacing manual spreadsheet processes with something that survives your holiday Commercial Bank, custodian, broker and asset-manager relationships: onboarding, commercial terms, mandate setting, service review Challenging our managers on allocation, transparency and fees — and changing them if the answers are weak What good looks like in the first 12 months Investment policy and limit framework live, with treasury governance running on a documented decision log Daily, evidenced mandate compliance across the full book — we can answer "are we inside the boundaries?" in minutes, not weeks Investment accounting platform implemented; monthly close on the portfolio no longer manual An NII number that is reconciled, attributed, and forecastable A contingency liquidity playbook that has been tested rather than written Who you are 5+ years in treasury, ALM, fixed income, or portfolio management at a regulated financial institution, EMI/PI, or asset manager Direct experience with client money or safeguarding under PSD2 / EMD — core to this role, not adjacent to it Experience building or materially rebuilding a treasury function, not only operating inside an established one Strong command of bond math, yield and duration, MMF mechanics, and credit and concentration risk at instrument level Track record of automating manual treasury processes and implementing treasury or investment accounting systems Comfortable working with position-level data directly — you can interrogate a portfolio file rather than wait for a report Experience with regulators, external audit, and external asset managers (mandate setting, IMA terms, performance challenge) Sound judgement under time pressure in a lean environment with real accountability and limited cover Strong Excel skills Fluent English Nice to have Familiarity with IFRS 9 or Dutch GAAP (RJ 290) financial instrument accounting SQL or Python Experience in a firm transitioning toward a banking licence Experience using AI tools (e.g. LLMs, copilots) to accelerate analytical and reporting workflows What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: United Kingdom; Spain; Poland; Cyprus; Germany; Netherlands Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. We are looking for a Senior Treasury Manager to build and run Finom's treasury function. Finom safeguards a significant book of customer funds across its regulated entities. Net interest income on that book is a meaningful revenue line, and it will grow. Today the function is up and running: the money is placed, the investment policy is in place, and a large part of the book sits with an external asset manager. What we are building now is the machinery around it — an evidenced limit framework, look-through into what our managers actually hold, automated investment accounting, and a reconciled NII number we can defend to an auditor and a regulator. That is the job. You will take part in building it, and you will run it while it is being built. This is a hands-on role at the intersection of regulation, liquidity, and commercial impact — not a back-office position. It suits someone who has done this before in a regulated environment and wants to do it again without four layers of committee above them. What you'll own Liquidity and funding Daily liquidity positioning and float management across entities and accounts Intraday funding of payment channels; nostro and correspondent account management Collateral and minimum-balance obligations across card schemes, T2, and credit providers Contingency funding — the playbook for the day we need €20m by tomorrow morning A daily treasury balance sheet — net liquidity and net capital available — that reconciles Safeguarding and portfolio Portfolio management of safeguarded client funds: term deposits, MMFs, short-dated debt, held directly and via external managers Safeguarding adequacy: shortfall detection, top-up execution, same-currency discipline Instrument eligibility screening under CRR risk-weight, maturity and WAL constraints, and UCITS/MMF rules Independent, evidenced validation that externally managed allocations sit inside mandate — position-level look-through, daily monitoring of concentration, maturity, WAL and credit quality, breach escalation NII forecasting, attribution, and reconciled performance reporting; treasury inputs into the financial model and company forecast Governance and controls Ownership of the investment policy, limit framework, and eligible-instrument register Treasury governance: decision pack, agenda, decision log, and delegated-authority register Pre-deal checks and post-trade evidencing, designed so that the first line executes and the second line challenges Covenant tracking across credit facilities Regulator, external audit, and second-line engagement on treasury and safeguarding matters Systems and data Selection and implementation of investment accounting and treasury tooling — a Clearwater/Advent-class implementation is already in flight and will be yours Custodian, asset-manager and bank data feeds; API connectivity where it exists and pragmatic alternatives where it doesn't Replacing manual spreadsheet processes with something that survives your holiday Commercial Bank, custodian, broker and asset-manager relationships: onboarding, commercial terms, mandate setting, service review Challenging our managers on allocation, transparency and fees — and changing them if the answers are weak What good looks like in the first 12 months Investment policy and limit framework live, with treasury governance running on a documented decision log Daily, evidenced mandate compliance across the full book — we can answer "are we inside the boundaries?" in minutes, not weeks Investment accounting platform implemented; monthly close on the portfolio no longer manual An NII number that is reconciled, attributed, and forecastable A contingency liquidity playbook that has been tested rather than written Who you are 5+ years in treasury, ALM, fixed income, or portfolio management at a regulated financial institution, EMI/PI, or asset manager Direct experience with client money or safeguarding under PSD2 / EMD — core to this role, not adjacent to it Experience building or materially rebuilding a treasury function, not only operating inside an established one Strong command of bond math, yield and duration, MMF mechanics, and credit and concentration risk at instrument level Track record of automating manual treasury processes and implementing treasury or investment accounting systems Comfortable working with position-level data directly — you can interrogate a portfolio file rather than wait for a report Experience with regulators, external audit, and external asset managers (mandate setting, IMA terms, performance challenge) Sound judgement under time pressure in a lean environment with real accountability and limited cover Strong Excel skills Fluent English Nice to have Familiarity with IFRS 9 or Dutch GAAP (RJ 290) financial instrument accounting SQL or Python Experience in a firm transitioning toward a banking licence Experience using AI tools (e.g. LLMs, copilots) to accelerate analytical and reporting workflows What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

О проекте: Мы строим Customer Intelligence & Personalization Platform для экосистемы бизнесов в Армении. В основе — Golden Record: единый профиль клиента, объединяющий данные банка, продуктов экосистемы и внешних источников. Поверх него строятся Customer 360, сегментация, scoring и персонализированные предложения. Задачи роли: Предстоит спроектировать слой между сырыми данными core banking системы и витринами платформы. Источник слабо документирован: часть значений закодирована, часть бизнес-логики реализована в коде и хранимых процедурах, две внешне одинаковые записи могут быть собраны разными алгоритмами из разных таблиц. Нужен человек, который разберёт этот источник и превратит его в осознанную модель данных: что откуда берётся, что на что влияет, какое поле что означает. Что предстоит делать: — Исследовать core banking систему, legacy- и внешние источники, восстанавливать их семантику. — Идти от целевой витрины к источнику: определять, из каких таблиц и по какой логике собирается каждый атрибут. — Разделять случаи, когда одинаковые по виду данные получены разными путями, и фиксировать правила выбора. — Описывать модель данных и метаданные: сущности, связи, grain, ключи, историчность. — Формировать требования к витринам для сегментации, scoring и рекомендаций. — Писать SQL-исследования и прототипы трансформаций, проверять гипотезы на данных. — Выяснять смысл данных напрямую у сотрудников банка — это постоянная часть работы. О бэкграунде: Важно, какие задачи вы решали — приходили в незнакомую недокументированную систему и разбирались сами, восстанавливали бизнес-смысл данных, строили модель с нуля и доводили исследование до работающей витрины. Если вы работали дата-инженером и значительную часть времени тратили на то, чтобы понять, что лежит в источнике, — это наш профиль. Если получали готовые чистые витрины — скорее нет. AI-native подход: Мы используем AI-native подход и ожидаем того же от кандидата: AI-инструменты применяются для разбора legacy, анализа схем, написания SQL и документирования. Требования: — Сильный SQL: оконные функции, сложные join-цепочки, анализ качества и распределений. — Опыт реверс-инжиниринга плохо документированных источников. — Понимание data modelling: сущности, grain, ключи, историчность, master entities. — Опыт работы с банковскими или fintech-данными (Core banking (особенно ArmSoft) / legacy banking systems, Customer 360) или опыт разбора сырых банковских данных о клиентах и продуктах из плохо документированных систем с целью производства маркетинговой и финансовой аналитики. — Python на уровне исследования данных. — Способность самостоятельно довести задачу «вот сырьё, вот целевая витрина» до результата. — Проактивность: готовность выяснять смысл данных у людей, а не ждать документации. — Git, Linux, опыт работы в закрытых Dev/UAT-контурах. Будет плюсом: — Знание армянского языка — Методологии матчинга и дедупликации — Опыт с Data Vault 2.0 — Опыт с DBT или аналоги — PII, маскирование, RBAC — Опыт в регулируемом on-premise контуре — Экспертиза в ML, ML Ops Условия: — Взаимодействие по ИП — Локация - Армения — Формат работы - гибрид, готовность работать из офиса банка до 3 раз в неделю.

Location: Ramat Gan WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role : Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant’s platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm’s next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team. What You’ll Bring: A successful candidate will possess: A minimum of 5 years of writing production-quality code in C++ on Linux platform Good understanding of Python language with development experience Strong understanding and experience with Linux system programming fundamentals Ability to develop large-scale, distributed systems Strong understanding of data structures, algorithms, high-performance application design, and concurrency patterns. Self-motivated and able to work independently with minimal direction Proficiency in English An outstanding candidate will also have experience with one or more of: Developing systems for managing and performing computation on large-scale graph data Streaming / dataflow systems Candidates need not have prior experience in financial services. #LI-DN1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Buymie — мобильная платформа, предоставляющая услуги по доставке продуктов по всей Ирландии. Компания была признана Deloitte самой быстрорастущей технологической компанией в Ирландии. Требования: — Опыт работы 5+ лет — Владение SQL, Looker, Power BI, Tableau, Python — Хорошее знание английского языка Компания имеет команду из 51-200 человек и инвестиции в размере €17M. Контактное лицо: CEO и ко-фаундер — Devan Hughes.

Location: Remote (US) Infrastructure Engineer (DevOps) About the company Hi, we're Ondo Finance. Our mission is to provide institutional-grade, blockchain-enabled investment products and services. We have both a technology arm that develops decentralized finance technology, and an asset management arm that creates and manages tokenized funds. We were the first company to tokenize exposure to US Treasuries, and have since expanded into several other assets. We are also focused on incubating protocols that can support both tokenized real-world assets and traditional crypto. Founded by folks from Goldman Sachs Digital Assets Team, we're backed by some of the best investors in the world including Founders Fund, Coinbase Ventures, Pantera Capital, Tiger Global, and more. We are currently the leaders in the space in terms of AUM and are well capitalized to continue growing the firm. We're fully remote, with team members across many countries. About the role As an Infrastructure Engineer at Ondo, you'll help build and run the platform our financial products run on. Our team owns the cloud infrastructure, Kubernetes clusters, delivery pipelines, monitoring, and tooling that every engineering team at Ondo depends on, so you'll see a wide range of systems rather than one. You won't do this alone. You'll work closely with a diverse team of infrastructure engineers and developers. Expect to debug real production problems, write code and configuration for user-facing applications, and see your changes running in production early. You'll start with well-scoped work and take on more ownership as you learn our systems. Responsibilities * Collaborate with development teams to build reliable financial services for our customers. * Help the team build and improve release processes, continuous integration, and deployment automation. * Extend application monitoring and alerting. * Participate in an on-call rotation together with infrastructure engineers and developers. * Troubleshoot issues with user-facing and internal services, and debug production incidents. Requirements * Genuine curiosity and desire to learn new technologies and break things. * Hands-on Kubernetes experience: you can deploy, inspect, and debug workloads, even if you've never run a cluster yourself. * Understanding of operating systems, especially Linux internals. * Experience with "infrastructure-as-code" or "infrastructure-as-data" approaches to infrastructure management. * Understanding of the GitOps approach to application management. * Experience with the Prometheus stack or another monitoring solution. Nice to haves * Experience building infrastructure in a major cloud provider (AWS, Google Cloud, or Azure). * Programming ability in Go, Python, or another modern, widely adopted language. * Experience running stateful workloads in production, not only stateless services. Our tech stack AWS, GCP, Azure | Terraform | Kubernetes, Flux | Prometheus, Grafana, Datadog What we offer * Competitive compensation including salary, future token rights, and/or equity (according to your preferences) — we're well-funded and believe that great talent deserves great compensation * Full benefits (medical, vision, and dental) and flexible vacation policy (PTO) * Small remote-first team across many countries — you'll be an early team member helping shape our vision, culture, and design practices * A+ colleagues — our team includes alumni from: Goldman Sachs, Blackrock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, Pinterest, McKinsey, Circle, Uniswap, Phantom * Best-in-class investors — we are proud to be backed by leading crypto experts and VCs, including Pantera Capital, Founders Fund and Coinbase Ventures