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Location: San Francisco, CA, USA About the Role Chime’s Data Science and Machine Learning team is building models, services, and platforms that transform how millions of users manage and grow their financial lives. We are looking for a hands-on Tech Lead Manager with deep technical expertise in machine learning and data science, particularly within the Growth and Marketing domain. Beyond technical proficiency, we value creativity, user empathy, and strong collaboration. As a Tech Lead Manager within our Growth and Marketing team, you will lead a talented group of data scientists and machine learning engineers to develop innovative growth and marketing models. These models will provide critical insights into acquiring, retaining and growing Chime members, broaden access to credit, and ensure financial inclusivity. You will play a pivotal role in creating innovative, ground-up products while driving the development of cutting-edge acquisition and retention models and solutions. If you are passionate about marketing, growth, customer acquisition and retention models, this role could be a great fit for you. In this role, you can expect to Lead and inspire a high-performing team of data scientists and ML engineers, ensuring the successful development and deployment of machine learning solutions for customer acquisition, conversion and retention. Drive strategic direction for ML initiatives in marketing, engagement, and growth by identifying opportunities where AI/ML can optimize our customer funnel. Oversee the end-to-end development of machine learning models such as lifetime value prediction, churn risk modeling, customer segmentation, marketing attribution, referral recommendations, and personalized communications. Collaborate cross-functionally with marketing, product, growth, and engineering teams to align machine learning initiatives with business objectives. Leverage transactional and behavioral data to enhance customer targeting, optimize acquisition spend, and improve retention strategies. Establish ML best practices, including model development, validation, deployment, and monitoring, ensuring scalability and business impact. Advocate for a data-driven culture, partnering with business leaders to drive strategic decisions through experimentation and predictive analytics. Stay ahead of industry trends, bringing cutting-edge AI/ML techniques into our marketing and growth strategies. To thrive in this role, you have 7+ years of experience developing machine learning models for marketing and growth, from inception to production, with a focus on customer acquisition, engagement, and retention. 5+ years of experience leading data science teams, with a proven track record of mentoring, coaching, and driving impactful machine learning solutions. Strong expertise in marketing and growth analytics, including experience with customer segmentation, LTV modeling, churn prediction, referral systems, and multi-touch attribution. Deep understanding of AI/ML techniques, including classification, clustering, reinforcement learning, optimization, deep learning, and NLP for customer engagement. Hands-on experience deploying machine learning models in real-world production environments, integrating with marketing tech stacks and growth platforms. Strong product intuition with the ability to work iteratively in a fast-paced, cross-functional environment. M.S. or Ph.D. in Machine Learning, Computer Science, Statistics, or a related STEM field. Proficiency in Python and SQL, with experience in building ML pipelines and wrangling large-scale data. Experience with modern ML and data engineering technologies, such as AWS, Kafka, Airflow, Redis, MySQL, Postgres, Spark, Snowflake, Looker. Exceptional communication and stakeholder management skills, with the ability to partner effectively with marketing, growth, product, and engineering teams. #LI-DA1 #LI-Onsite Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wage Notice $199,000 — $275,000 USD A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? *Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees. ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life. 🏝 Generous vacation policy and company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to family planning reimbursement 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com . To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice .

Location: Austin, United States Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities We are looking for a Senior Fullstack Software Engineer to design and build the backend services that power TeamViewer products and the web applications on top of them. You will own features end to end, shape technical direction across the stack, and act as a technical reference and mentor within and across teams. Design, build and operate backend services and APIs using Java/Kotlin with Spring Boot or Node.js/TypeScript. Build high-quality web applications with React and TypeScript, contributing to our design system and micro-frontend architecture. Drive architecture and design decisions for scalable, resilient and secure services, applying domain-driven and event-driven principles. Design data models and choose the right storage across SQL and NoSQL databases. Design asynchronous integrations using messaging systems such as Kafka, NATS or RabbitMQ. Own deployment and operation of services with Docker and Kubernetes, and improve CI/CD pipelines and observability. Drive testing strategy across the stack (unit, integration, contract, end-to-end). Drive adoption of AI-assisted development in your team: set good practices, share workflows and keep quality high. Mentor other engineers, lead code reviews and promote engineering best practices across teams. Requirements A degree in Computer Science, Software Engineering or a related field, or equivalent experience. 6+ years of professional experience in software development across backend and frontend, with a track record of leading technical topics. Strong backend experience with Java and/or Kotlin and Spring Boot, or with Node.js and TypeScript. Strong experience with React and TypeScript, including modern state management (e.g. Redux Toolkit, Zustand, TanStack Query); experience with design systems or micro-frontends is a plus. Deep understanding of distributed systems, API design and software architecture. Solid experience with relational (e.g. PostgreSQL) and NoSQL databases. Hands-on experience with messaging systems such as Kafka, NATS or RabbitMQ. Solid experience with Docker and Kubernetes, CI/CD and production observability. Good knowledge of security best practices for backend and web applications. Hands-on experience with AI coding tools (e.g. Claude Code, GitHub Copilot, Cursor) and a clear view on how to use them responsibly in a team. Experience mentoring engineers and working in agile teams. What we offer Competitive compensation and bonuses Flexible PTO and paid holidays 401(k) with employer matching Comprehensive Health insurance package including 100% employer-paid medical coverage Up to 12 weeks of Parental Leave Basic Life Insurance, Short-Term & Long-Term Disability, 100% employer-paid Quarterly teambuilding events, leadership luncheons, and companywide “All Hands” meetings Open door policy and business casual dress code We celebrate diversity as one of our core values. Join c-a-r-e and lead change initiatives together with us! Work location for this position is Austin, TX. TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.

Одна из продуктовых команд крупного проекта в сфере цифрового автолизинга развивает цифровую платформу, через которую выдаётся автотранспорт в лизинг. Платформа автоматизирует большую часть бизнес-процессов автолизинга - от подачи заявки до подписания договора. Проект разделён на команды, каждая отвечает за свою часть функционала. Стек проекта: Java, React, PostgreSQL, RabbitMQ, Kafka, Bitrix24. Инструменты: Jira, Confluence, Zephyr, Postman, Swagger. Обязанности: — Ручное функциональное и регрессионное тестирование; — Написание и поддержка тест-кейсов по требованиям и ТЗ; — Заведение багов в Jira и контроль их исправления; — Тестирование новых фич и обновлений перед релизом; — Проверка работы на разных устройствах и в разных браузерах (кросс-платформенное и кросс-браузерное тестирование); — Поддержка (тестировщика подключают к вопросам пользователей о работе системы): разбор и анализ багов; — Решение простых проблем пользователей: сброс паролей, настройка доступов, создание учётных записей, выдача ролей; — Сбор обратной связи пользователей и передача её разработке; — Составление и обновление FAQ и инструкций. Требования: — Понимание принципов тестирования, жизненного цикла ПО и архитектуры приложений; — Знание HTTP и REST API, опыт применения; — SQL на уровне проверки данных в БД (запросы низкой и средней сложности); — Postman; — Опыт тестирования асинхронного взаимодействия через RabbitMQ или Kafka; — Опыт работы с Jira, Confluence и Zephyr; — Уверенная работа с Windows и macOS, браузерами и мобильными устройствами; — Внимательность к деталям и хорошие коммуникативные навыки. Будет плюсом: — Swagger; — Базовое знание Java и React; — Опыт работы с клиентами или в поддержке; — Английский на уровне чтения технической документации.

Location: Porto, Portugal Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities We are looking for a Backend Software Engineer to join the teams building and running the backend services that power TeamViewer products. You will design, build and operate services that must be secure, reliable and scalable, working in an agile team alongside product, frontend and platform engineers. Design, develop and maintain backend services and APIs using Java/Kotlin with Spring Boot or Node.js/TypeScript. Build scalable, resilient services following clean architecture, domain-driven and event-driven principles. Design data models and work with both SQL and NoSQL databases. Implement asynchronous communication between services using messaging systems such as Kafka, NATS or RabbitMQ. Containerize and deploy services with Docker and Kubernetes and contribute to CI/CD pipelines. Write automated tests (unit, integration, contract) and take part in code reviews. Use AI coding assistants effectively in your daily work, while keeping ownership of quality, security and maintainability. Monitor and improve services in production, with a focus on performance, security and observability. Collaborate with your team and other teams on technical decisions, shared standards and knowledge sharing. Requirements A degree in Computer Science, Software Engineering or a related field, or equivalent experience. 3+ years of professional experience in backend software development. Solid experience with Java and/or Kotlin and Spring Boot, or with Node.js and TypeScript. Good understanding of RESTful API design and distributed systems concepts. Experience with relational (e.g. PostgreSQL) and NoSQL databases. Familiarity with messaging systems such as Kafka, NATS or RabbitMQ. Hands-on experience with Docker; Kubernetes experience is a plus. Strong testing mindset and familiarity with CI/CD practices. Hands-on experience with AI coding tools (e.g. Claude Code, GitHub Copilot, Cursor), including critically reviewing and testing AI-generated code. Experience working in agile teams. Fluent in English (spoken and written). What we offer Onsite Onboarding in our HQ office for an optimal start Great compensation and benefits packages including company achievement bonus or sales bonus and regular salary reviews Public transport friendly offices Special terms for local gyms Access to Corporate Benefits platform with many discounts Regular Team events and company-wide celebrations Open door policy , no dress code rules, frequent all Hands and Leadership Lunches Hybrid and Flexible work time Work From Abroad Program allowing up to 40 days of work outside your contracting country We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us! TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.

Наша компания занимается продуктовой разработкой проектов наших Заказчиков под ключ. Проект — крупный коммерческий банк в РФ. Ожидания: — Опыт работы в QA: от 4 лет. — Опыт автоматизации тестирования на Java: от 2 лет. Требуемые знания и навыки: — Опыт тестирования mobile/web приложений (от 2 лет). — Опыт работы с Rest API. — Опыт работы с SQL/NoSQL БД на уровне сложных запросов и выгрузок (join, View и т.д.). — Опыт покрытия новых функциональностей при помощи инструментов автотестирования (Java). — Опыт работы с интеграционным тестированием. — Опыт работы с CI/CD (Jenkins, GitLab CI). — Опыт работы с брокерами сообщений (Kafka, RabbitMQ, аналоги). — Опыт работы с мок-сервисами (Wiremock или аналоги). — Опыт написания библиотек и инструментов для автоматизации тестирования. — Опыт применения процессов и методологий разработки программного обеспечения. — Опыт применения инструментов и технологий разработки ПО. — Опыт работы с системами на микросервисной архитектуре (Spring Cloud, Kubernetes, Openshift или аналоги). — Опыт развертывания инфраструктуры. — Опыт работы с системами Cache (Redis, Hazelcast). — Инструменты Docker, Jenkins, K8s, SOAP UI, Postman, Jira, Confluence, Git, IntelliJ IDEA, Bitbucket, Docker Compose. Дополнительная информация: — Web и mobile тестирование: мобилка + веб. — Backend и frontend тестирование: 80% / 20%. — Ручное и автоматическое тестирование: 70% ручное, 30% авто.

Location: Porto, Portugal Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities We are looking for a Full Stack Software Engineer to join the teams building the backend services that power TeamViewer products and the web applications on top of them. You will work across the stack, from APIs and data to user interfaces, in an agile team alongside product, UX and platform engineers. Develop and maintain backend services and APIs using Java/Kotlin with Spring Boot or Node.js/TypeScript. Build web applications and features using React and TypeScript, using our design system and shared components. Design data models and work with both SQL and NoSQL databases. Integrate services through REST APIs and messaging systems such as Kafka, NATS or RabbitMQ. Containerise and deploy applications with Docker and Kubernetes, and contribute to CI/CD pipelines. Write automated tests across the stack and take part in code reviews. Use AI coding assistants effectively in your daily work, while keeping ownership of quality, security and maintainability. Monitor and improve features in production, with a focus on quality, performance and security. Collaborate with your team and other teams on technical decisions and knowledge sharing. Requirements A degree in Computer Science, Software Engineering or a related field, or equivalent experience. 3+ years of professional experience in fullstack development. Solid backend experience with Java and/or Kotlin and Spring Boot, or with Node.js and TypeScript. Solid experience with React and TypeScript. Good understanding of RESTful API design and web application architecture. Experience with relational (e.g. PostgreSQL) and NoSQL databases. Familiarity with messaging systems such as Kafka, NATS or RabbitMQ is a plus. Hands-on experience with Docker; Kubernetes experience is a plus. Strong testing mindset and familiarity with CI/CD practices. Hands-on experience with AI coding tools (e.g. Claude Code, GitHub Copilot, Cursor), including critically reviewing and testing AI-generated code. Experience working in agile teams. Fluent in English (spoken and written). What we offer Onsite Onboarding in our HQ office for an optimal start Great compensation and benefits packages including company achievement bonus or sales bonus and regular salary reviews Public transport friendly offices Special terms for local gyms Access to Corporate Benefits platform with many discounts Regular Team events and company-wide celebrations Open door policy , no dress code rules, frequent all Hands and Leadership Lunches Hybrid and Flexible work time Work From Abroad Program allowing up to 40 days of work outside your contracting country We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us! TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.

Задачи: — разработка на Python с использованием asyncio, FastAPI — работа с брокерами и таск-менеджерами: Kafka, RabbitMQ, Celery — оптимизация запросов и проектирование схем в PostgreSQL — реализация межсервисных коммуникаций через gRPC, REST, Webhooks — написание фронтенд-компонентов на TypeScript и React — применение DevOps-практик: Docker, CI/CD, развертывание в Kubernetes — использование инструментов мониторинга Prometheus и Grafana — обеспечение покрытия кода тестами Требования: — 3+ года коммерческого опыта на Python с глубоким пониманием asyncio, FastAPI — опыт работы с Kafka, RabbitMQ, Celery — уверенные знания PostgreSQL (query tuning, schema design) — практический опыт межсервисных коммуникаций: gRPC, REST, Webhooks — опыт написания фронтенд-компонентов на TypeScript / React — понимание DevOps-практик: Docker, CI/CD, Kubernetes — опыт работы с инструментами мониторинга Prometheus / Grafana — культура покрытия кода тестами — будет плюсом опыт работы с телеком-инфраструктурой, IP-телефонией, CTI или системами контакт-центров Условия: — full-time — b2b-контракт — почасовая оплата — удалённая работа, строго по России

Задачи: — Разрабатывать и поддерживать backend-сервисы на Go. — Развивать микросервисную архитектуру и REST/gRPC API. — Работать с PostgreSQL, Redis и очередями сообщений. — Разрабатывать асинхронные процессы и интеграции. — Писать тесты, участвовать в code review. — Поддерживать надежность сервисов и разбирать production-инциденты. Требования: — Опыт в blockchain, crypto. — Работа с финансовыми транзакциями, балансами, ledger или billing. — Опыт разработки wallet, deposit/withdrawal-сервисов. — Знание OpenTelemetry, Prometheus, Grafana и других observability-инструментов. — Понимание AML/KYC, PCI DSS или GDPR. — От 3 лет коммерческой разработки на Go. — Опыт разработки и поддержки production backend-сервисов. — Понимание микросервисной архитектуры. — Опыт работы с PostgreSQL, Redis и Kafka / RabbitMQ / NATS или аналогами. — Понимание транзакционности, идемпотентности и конкурентного доступа. — Опыт написания тестов и работы с Docker. — Базовое понимание Kubernetes. — Знание HTTP, TLS, JWT/OAuth2, authentication/authorization. — Умение писать читаемый, поддерживаемый и безопасный код. Условия: — Гибридный формат работы в Минске.

Задачи: — ручное и автоматизированное тестирование. Требования: — Опыт автоматизации тестирования на Ruby. — Опыт работы с базами данных. — Опыт работы с Kafka. — Опыт работы с CI/CD. Условия: — Трудоустройство в аккредитованную ИТ-компанию. — Вилка до 280К р. на руки. — Оформление по ИП или ТК РФ. — Полная удалёнка. — ДМС с первого дня со стоматологией. — Предоставление техники при необходимости.

Задачи: — Участие в проекте по data engineering, разработке и миграции конвейеров данных в облачной среде. Требования: — Опыт работы в Data Engineering. — Практические знания Python и Databricks. — Опыт построения, поддержки и миграции data pipelines. — Опыт работы с потоковыми решениями, такими как Azure Event Hub и Apache Kafka. — Знание технологий обработки данных в реальном времени, включая Apache Druid и Apache Storm. — Хорошее понимание облачных платформ данных, предпочтительно Microsoft Azure. Дополнительные преимущества: — Знание Java для работы с существующими системами и legacy-кодом. — Опыт в веб-аналитике. — Опыт внедрения CI/CD. — Опыт в DevOps / DataOps. — Участие в инициативах по миграции данных. — Знакомство с Agile / Scrum. Условия: — Старт: ASAP / сентябрь 2026. — Контракт до 31 декабря 2026. — Полная занятость (100%). — Полностью удалённая работа (EU Remote). — Требуемый уровень английского: C1 (немецкий — плюс). — Методология работы: Scrum.

Задачи: • backend на PHP и Laravel • архитектура и код‑ревью • рефакторинг legacy и автотесты • работа с фронтендом и DevOps Требования: • PHP от 3 лет, уверенный PHP 8+ • Laravel от 2 лет • ООП, паттерны, сильный SQL • REST API, Redis, RabbitMQ или Kafka • Docker, CI/CD, Git Flow, S3, Xdebug • свободный русский Будет плюсом: • финтех, платёжные интеграции, PHPUnit или Pest Условия: • от 15 млн сум на руки • официально по ТК РУз, оплачиваемый отпуск • 5/2, офис в БЦ Kayan, метро Машинасозлар • задачи, которые реально влияют на продукт • рост внутри группы компаний

Location: Lisbon Workplace: Hybrid ROLE HIGHLIGHTS: - Role: Forward Deployed Backend/DevOps Engineer - Location: Portugal (Lisbon) - Reports to: VP, Forward Deployed Engineering - Working type: Hybrid (On-site at customer locations approx. 50% of time) - Must be eligible and able to attain relevant national and NATO security clearances. - Must be based in-country and native level speaker of the country you're deploying to.   WHY THIS ROLE MATTERS In this role, you are the backend and infrastructure backbone defence and intelligence customers rely on. You deploy ICEYE's intelligence platform into secure (often air-gapped) environments and design the high-performance backend systems that move satellite data at scale — fast APIs, resilient services, tuned databases, automated infrastructure. Our stack: Python and Go services on Kubernetes, PostgreSQL and MongoDB, Terraform and Ansible, CI/CD pipelines that also run offline, cloud (AWS) and on-premises air-gapped clusters, with AI-assisted development as the default. This is a ship-daily role: systems you build run mission-critical workloads analysts use to protect nations. WHAT YOU'LL OWN Platform deployment & operations - Deploy ICEYE's intelligence platform into customer secure environments (on-premise, air-gapped networks, classified data centres). - Install, upgrade and operate Kubernetes clusters and containerised applications (Docker) in customer environments — cloud and on-premises. - Build infrastructure-as-code (Terraform, Ansible) and CI/CD pipelines that work without external internet access, including offline registries and artifact mirroring. - Troubleshoot deployment and production issues in disconnected environments, from the application layer down to storage and networking. High-performance backend systems - Design and build APIs, services and data pipelines that handle large volumes of SAR imagery and intelligence data with low latency. - Connect ICEYE systems to customer C4ISR infrastructure and intelligence tools through robust, well-designed integrations. - Own database design and performance at production scale (PostgreSQL, MongoDB): schemas, indexing, tuning, replication and backup. - Apply caching, queueing and horizontal scaling patterns deliberately — and capacity-plan for fixed on-premises hardware where you cannot simply scale out. Reliability, security & observability - Build monitoring, logging and alerting that work in restricted environments, so problems are found before the customer finds them. - Harden deployments to meet customer security constraints; own backup, recovery and upgrade paths for systems that cannot go down. - Run the infrastructure behind AI workloads shipped by the team — model serving, vector databases, GPU nodes — reliably and repeatably. Customer engagement & rapid delivery - Work embedded with intelligence analysts, operators and customer IT teams to understand operational and infrastructure requirements. - Rapidly prototype and iterate (working systems first, polish later) to address immediate operational needs. - Conduct hands-on training for customer administrators on platform operations. - Feed deployment experience back to ICEYE's product and engineering teams as concrete technical requirements. WHAT WE'RE LOOKING FOR Must-haves - 5+ years hands-on backend engineering building and operating production systems at scale. - Strong programming skills in Python. You write typed, tested services and you are comfortable with async APIs. TypeScript is a plus. - Proven experience designing high-performance backend systems: APIs, distributed services, messaging, caching and databases under real load. Experience with spatial, search, or vector workloads in Postgres is a plus. - Production experience in both cloud (e.g., AWS) and on-premises environments — this role lives in both. - Deep Docker and Kubernetes: deploy, debug, and upgrade clusters — not only consume them. GitOps and infrastructure-as-code experience. Pipelines that can run offline or on an isolated network are a plus. - Observability as a habit: metrics, logs, and alerts are part of done. - Infrastructure-as-code (Terraform, Ansible) and CI/CD experience, ideally including pipelines that run offline or in isolated networks. - PostgreSQL and/or MongoDB at production scale: schema design, tuning, replication, backup and recovery. - Observability as a habit: metrics, logging and alerting are part of done, not an afterthought. - Builder mindset: ship fast, iterate with feedback, and prioritise working solutions over perfect architecture. - Strong communication and customer engagement, able to work embedded with intelligence analysts / military operators. - Strong spoken and written English, able to explain technical concepts to non-technical stakeholders. - Willingness to travel 40–60% to customer sites within the region. Nice to have - Experience in defence, intelligence, or government operational environments. - Deploying to on-prem data centres and/or air-gapped networks, including offline artifact and registry management. - Event streaming and high-throughput data systems (e.g., Kafka or similar) at production scale. - Deeper Kubernetes: operators, service mesh, multi-cluster, storage and networking internals. - Security hardening and accreditation experience (system hardening baselines, audit and compliance in classified environments). - Familiarity with geospatial data, satellite imagery, or remote sensing. - Experience running infrastructure for AI/LLM workloads: GPU scheduling, model serving, vector databases. - Active use of AI-assisted development tools as part of your daily workflow. - Experience in defence tech (e.g., Palantir, Anduril, Scale AI, similar startups). WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing—at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at https://www.iceye.comiceye.com http://iceye.com

Location: Canada Workplace: remote About Xsolla Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. About the Role We're looking for a Staff Engineer to own the smart wallet and account abstraction layer of Xsolla's Web3 platform. This is an individual contributor role with outsized technical scope: you'll be the technical anchor for how millions of players get an on-chain account they never have to think about — setting direction, making hard architectural calls, and raising the bar across the org. Concretely, you'll own the account model behind Xsolla ZK, our zkSync-based L2, and the wallet that sits inside Xsolla App. Every player who signs in with Xsolla ID receives a deterministic, non-custodial smart account — derived from their identity claim, identical on every device, with private keys that never leave the client. That account is not a separate "wallet" screen: it is the player's inventory, and it backs minting, gifting, trading on our Bazaar marketplace, Merkle-based reward airdrops, gas sponsorship, and an in-app dApp browser that exposes the same signer to third-party applications through an EIP-1193 provider. You'll own the primitives underneath all of it: the ERC-4337 user operation lifecycle, EIP-7702 delegation, session keys and origin-bound Smart Sessions, paymaster and gas abstraction strategy, and the custody and recovery roadmap — including the move from raw key export to MPC custody. You will own the strategy behind account abstraction, signing, and session management at scale, and evolve our smart account and permissioning model to meet both product and compliance needs. You operate with significant autonomy, but your decisions ripple across teams — so you'll spend real time building buy-in with engineering, product, security, and legal stakeholders, not just designing in isolation. You are technically deep, calm under pressure, and comfortable being the escalation point when production wallet issues get hard — because in this domain, "hard" means a stuck user operation, a drained paymaster, or a signing prompt a player didn't understand. You write the RFCs and design docs that people actually read, and you create leverage for the broader engineering org through documentation, tooling, and mentorship — without needing a management title to do it. Responsibilities Own Smart Wallet & AA Architecture — Own the technical strategy and architecture of our smart wallet platform, covering the account model, signing, session management, and gas abstraction at scale. Design the Account & Signing Model — Design and evolve our ERC-4337 user operation lifecycle (prepare → sign → submit → confirm), EIP-7702 delegation, deterministic address derivation from identity, and the session-key and permission primitives that let players act without a prompt on every transaction. Own Gas Abstraction — Set the paymaster and gas-sponsorship strategy: what we sponsor, how we meter and cap it, how we defend it from abuse, and how it degrades when sponsorship is unavailable. Harden the dApp-Facing Surface — Own the security model where our signer meets third-party applications: EIP-1193 / EIP-6963 provider behavior, origin-bound and policy-versioned sessions, trust tiers, and the transaction and signature confirmation flow. Define what a player is actually approving, and make sure the UI can prove it. Drive Custody & Recovery — Lead the custody roadmap from today's interim mechanisms toward MPC-based custody, and design recovery paths (passkeys, guardians, social recovery) that a non-crypto-native player can complete without losing assets. Drive Cross-Team Technical Decisions — Drive decisions on account architecture, SDK contracts, data modeling, and platform reliability, and build buy-in across the wallet, marketplace, SDK, mobile, and security teams. De-Risk Proactively — Identify systemic risks — key management, signature phishing, reorgs and indexer staleness, bundler and RPC dependencies, contract upgrade paths — and lead initiatives to resolve them before they become incidents. Set Engineering Standards — Define engineering standards, review critical code, contracts, and designs, and create leverage for the team through documentation, tooling, and mentorship. Align with Stakeholders — Collaborate with product, security, legal, and infra teams to align on roadmap and translate business and regulatory needs into well-scoped technical plans. Own Production Escalations — Serve as the go-to escalation point for complex production issues in the wallet and account abstraction domain. What You Bring Account Abstraction & Smart Wallets ERC-4337 Depth — Deep, hands-on understanding of ERC-4337: EntryPoint (v0.6 through v0.8), the UserOperation lifecycle, bundler and paymaster roles, validation rules (ERC-7562), gas estimation and its failure modes, counterfactual deployment, and signature validation for undeployed accounts (ERC-6492). EIP-7702 & the Post-Pectra Landscape — Working knowledge of EOA delegation, its interaction with ERC-4337 EntryPoint v0.8, and the trade-offs and risks it introduces (residual key authority, delegation phishing, storage collisions). Smart Account Implementations — Experience building on or extending production smart account implementations (Safe, Kernel, Biconomy, Coinbase Smart Wallet, or equivalent), and familiarity with modular account standards (ERC-7579 / ERC-6900). Session Keys & Delegated Permissions — Experience designing scoped, time-limited, policy-bound authority: session keys with TTL and contract allowlists, origin binding, permission revocation, and delegated-permission standards (ERC-7710 / ERC-7715). Signature Schemes & Wallet Interfaces — Practical command of EIP-712 typed data, ERC-1271 contract signatures, WebAuthn / passkey (P-256) signers, and the wallet-facing standards: EIP-1193, EIP-6963, EIP-5792 batched calls, ERC-7677 paymaster interfaces. Production Wallet Experience — Experience designing or operating a production smart wallet or account abstraction system serving real users and real value. Production Crypto Track Record Scale in a Major Crypto Organization — Substantial engineering experience at a large crypto product or protocol organization — for example Coinbase, Kraken, Base, Safe, the Ethereum Foundation, Consensys / MetaMask — or a comparable wallet, exchange, or account-abstraction infrastructure team where wallet correctness and custody were core to the product. Operational Judgment Under Value at Risk — You have shipped and operated systems where a bug meant lost funds, and you can talk concretely about the guardrails, reviews, and rollback paths you put in place. Smart Contracts & EVM Solidity & EVM Fluency — Ability to read, review, and write account, paymaster, and module contracts; gas-aware design; upgradeability and migration patterns; working effectively with external auditors. L2 Specifics — Understanding of L2 execution differences and how they affect wallet design: native account abstraction on zkSync-family chains, transaction and fee models, finality and reorg behavior, and RPC and indexer semantics. Backend Engineering Go Engineering — Strong Go (Golang) engineering skills: idiomatic code, concurrency patterns, performance profiling. TypeScript & SDK Design — Ability to design and own client-side SDK surfaces in TypeScript that other engineering teams — internal and external — build on top of. Distributed Systems — Experience with distributed systems and their trade-offs (consistency, availability, failure modes), and with reconciling off-chain state against an authoritative on-chain result. Data & Infrastructure PostgreSQL — Schema design, query optimization, migrations at scale. Kubernetes — Deploying, operating, and debugging services in a k8s environment. Message Streaming — Kafka or NATS — event-driven patterns, consumer groups, at-least-once delivery. Git & CI/CD — Git and modern CI/CD practices. Security Key Management — Hands-on experience with key material in production: platform secure storage (Keychain / Keystore), HSMs, MPC or threshold signing, and the operational discipline around each. Wallet Threat Modeling — Solid grasp of the wallet attack surface: signature and delegation phishing, malicious dApp origins, replay and cross-chain replay, token approval abuse, and paymaster griefing and DoS. Leadership Cross-Team Initiative Leadership — Proven ability to lead multi-quarter technical initiatives across teams. Architectural Influence — Track record of influencing architecture and standards beyond your immediate team. Written & Verbal Communication — You write RFCs and design docs that people actually read. Nice to Have Experience working in the video game industry, building or operating platforms for game developers, publishers, or players Hands-on experience with the zkSync / Elastic Chain ecosystem (ZKsync OS, Matter Labs stack, native AA and paymaster flows, custom L2 operations) Experience with embedded and ecosystem wallet providers or AA infrastructure vendors (thirdweb, Privy, Dynamic, Turnkey, Pimlico, Alchemy, Biconomy, ZeroDev, Safe{Core}) — and clear views on where to build versus buy Experience with MPC / threshold custody, social recovery, or guardian-based recovery in a consumer product Experience with NFT and token infrastructure at scale: ERC-721 / ERC-1155 / ERC-20 mechanics, marketplace contracts, Merkle-based airdrop and claim distribution, chain indexing services Contributions to open-source wallet, security, or identity projects — including authorship or review of ERC / EIP standards Familiarity with compliance requirements relevant to crypto consumer products: KYC / AML, geofencing, MiCA, SOC 2, ISO 27001, GDPR data minimization, audit logging Experience with identity and auth integration for wallet derivation (OAuth 2.0 / OIDC, JWT verification, token scoping) Background in platform or infrastructure engineering — building systems other engineers build on top of Experience owning a mobile wallet surface (React Native / Expo, WebView provider injection, native signing UI) Hands-on, up-to-date experience with modern AI tools (e.g. Claude, Copilot, Cursor) for code generation, review, and accelerating day-to-day engineering work How We Work Xsolla operates across multiple time zones, and the smart wallet underpins identity, ownership, and value transfer for every Web3 product we ship. Strong written communication is essential — your architectural decisions and designs need to stand on their own and be actionable without you in the room. We value directness, technical depth, and follow-through. In this domain that means saying plainly when a design has custody, security, or reversibility implications, defending your position with evidence, and staying engaged until it's resolved. Where a decision touches player funds or key material, we expect the conservative call to be argued for explicitly rather than assumed. Benefits We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.

Задачи: — Разрабатывать адаптеры интеграций с внешними источниками (REST, SOAP, JDBC, Kafka) по шаблонам проекта: конфигурация маппингов, конвертация XML→JSON, валидация по JSON Schema — Проектировать и реализовывать хранение данных: DDL ClickHouse (ReplacingMergeTree, дедупликация, партиционирование), Kafka-топики, при необходимости — кеш в Redis — Реализовывать отказоустойчивость интеграций: retry с backoff, Circuit Breaker, Rate Limiting, DLQ, fallback к устаревшим данным — Развивать REST-фасад данных: точечные, batch- и портфельные запросы, асинхронная загрузка, метаданные свежести — Участвовать в проработке архитектуры: выбор типа реализации (микросервис / Airflow DAG), оценка профиля нагрузки и capacity, оформление ADR — Настраивать мониторинг и алерты по метрикам (latency, reuse rate, consumer lag), поддерживать CI/CD-пайплайны Требования: — Опыт коммерческой разработки на Java 11+ и Spring Boot от 2–3 лет: конфигурация через application.yml, profiles, Actuator — Опыт работы с Apache Kafka: producer/consumer, партиционирование по ключу, consumer groups, семантики доставки (acks=all), DLQ, борьба с lag — Уверенный SQL — Понимание колоночных СУБД — Готовность быстро освоить ClickHouse: движки MergeTree-семейства, FINAL vs argMax, партиционирование, материализованные представления — Опыт интеграций по REST и SOAP: таймауты, retry с экспоненциальным backoff, обработка ошибок — Работа с JSON и XML (конвертация, JSONPath/XPath, XSD) — Понимание паттернов отказоустойчивости: Circuit Breaker, Bulkhead, Rate Limiting, fallback-стратегии — Опыт работы с кешированием (Redis или аналоги): cache-aside, TTL, обоснование включения кеша метриками — Понимание версионирования контрактов: JSON Schema, совместимость BACKWARD, опыт со Schema Registry будет сильным плюсом

Responsibilities: — Designing, deploying, configuring, and maintaining scalable monitoring, logging, and alerting platforms for production and beta/test/dev environments; — Operating Prometheus, Alertmanager, Grafana, Fluent Bit, Kafka, Fluentd, OpenSearch, and OpenSearch Dashboards, including upgrades, reliability, availability, capacity, and retention planning; — Building and maintaining reliable metrics and log collection pipelines for infrastructure and business-critical services; — Creating dashboards that provide clear, useful visibility into service health, performance, capacity, and operational risks; — Designing, tuning, and maintaining actionable alert rules and notification routing; reducing alert noise and improving incident response; — Monitoring infrastructure and application metrics and logs, troubleshooting issues, and improving stability and performance under heavy loads; — Managing metric cardinality, log volume, retention, storage consumption, and query performance to keep observability platforms scalable and cost-effective; — Establishing high-availability and recovery approaches for observability services and validating operational readiness; Requirements: — Minimum 3 years of experience with administering Linux systems and operating monitoring, logging, or observability systems; — Experience with Debian-based systems; — Experience with Docker and Kubernetes; — Hands-on experience with Prometheus, Alertmanager, and Grafana, including metric collection, alert rules, routing, and dashboards; experience with VictoriaMetrics would be a plus; — Experience with Fluent Bit, Kafka, Fluentd, OpenSearch, and OpenSearch Dashboards for log collection, transport, processing, storage, search, and visualization; — Understanding of metrics and log pipeline design, including reliability, scalability, data retention, capacity planning, and cardinality management; — Experience designing actionable alerts, reducing alert noise, and troubleshooting infrastructure and application issues using metrics and logs; — Proficiency in shell command line usage, scripting, and automation tools like Ansible/Terraform; — Python and bash scripting skills.

Ищем Senior/Senior+ DevOps Engineer в команду маркетплейса цифровых товаров. Стек: Kubernetes, Nginx, PostgreSQL, KVM/libvirt/Proxmox, шифрование, Kafka, Redis, ClickHouse, Elasticsearch, Grafana, Kibana, Prometheus, CephFS. Для автоматизации используем Python, Bash, JS. Что предстоит делать — поддерживать и развивать production-инфраструктуру; — работать с Kubernetes и сопутствующей инфраструктурой; — разбирать сложные production-инциденты и находить первопричины; — заниматься производительностью, отказоустойчивостью и масштабированием; — работать с PostgreSQL, Kafka, Redis, ClickHouse, Elasticsearch и другими инфраструктурными компонентами; — развивать мониторинг и observability через Prometheus, Grafana, Kibana и Elasticsearch; — работать с виртуализацией и storage; — автоматизировать рутинные операции; — взаимодействовать с разработчиками и доводить инфраструктурные задачи до результата. Что важно — ищем не DevOps «для настройки пайплайнов и отчётности», а сильного инженера, который способен самостоятельно разобраться с проблемой и довести её до решения; — уверенное знание Kubernetes; — сильный Linux / infrastructure background; — опыт с PostgreSQL; — опыт с KVM/libvirt/Proxmox или аналогичной виртуализацией; — понимание сетей, storage и безопасности; — опыт production troubleshooting; — Prometheus/Grafana и другие инструменты observability; — Bash/Python; — способность самостоятельно принимать технические решения. — Опыт с Kafka, Redis, ClickHouse, Elasticsearch, CephFS, CI/CD, IaC и highload будет большим плюсом. Как работаем Команды небольшие, решения принимаются максимально близко к разработке и продукту. DevOps у нас — инженерная функция, а не сервис по производству отчётности. Не строим работу вокруг KPI ради KPI и не создаём лишнюю бюрократию между разработчиками, продуктом и инфраструктурой. Нужен человек, который видит проблему, сам её разбирает и доводит решение до результата. Условия — $5 000–8 000 в месяц в зависимости от опыта и навыков; — выплата дважды в месяц: 5-го — основная часть, 20-го — аванс; — криптовалюта; — удалённая работа; — оплачиваемый отпуск — 2 × 14 дней в год; — мини-отпуска и отгулы при хороших результатах; — испытательный срок — 1 месяц; — после испытательного срока — полный расчёт по согласованной вилке и зачисление в штат; — оборудование, график, подписки, процессы, бонусы и on-call обсуждаем индивидуально. Релокация в LATAM Помогаем финансово, юридически и консультационно. Рабочую визу напрямую не оформляем. Язык Русский — основной язык коммуникации внутри команды. Английский нужен преимущественно для работы с технической документацией, поэтому достаточно базового уровня.

В компании 2ГИС формируется новая корпоративная дата-платформа, целью которой является создание стандартизированного решения для работы с данными, объединяющего лучшие наработки и отказ от устаревших технологий. В рамках этой задачи предстоит разработать MVP платформы и инфраструктуру для загрузки и трансформации данных, а также перенести существующие пайплайны с Hadoop/HDFS на современную архитектуру, включающую S3, Kafka, Spark и ClickHouse. Работа предполагает обработку больших объёмов данных и управление высоконагруженными Kafka-топиками, создание отказоустойчивых пайплайнов для обработки и доставки данных. Важной частью деятельности станет участие в архитектурных решениях, внедрение лучших практик по хранению, мониторингу и обеспечению качества данных, а также проектирование витрин данных для продуктовой и управленческой аналитики (OLAP). Кроме того, необходимо сопровождать миграцию BI-отчётов, таких как DataLens и Power BI, на новую платформу. Работа выполняется удалённо на полной занятости, условия оплаты обсуждаются на собеседовании.

Задачи: – Обеспечивать отказоустойчивость работы платформы искусственного интеллекта, формировать планы аварийных переключений, применять технологии для обеспечения отказоустойчивой работы – Анализировать метрики производительности, проводить анализ причин инцидентов и ошибок работы платформы искусственного интеллекта, разрабатывать меры по недопущению повторений сбоев – Автоматизировать рутинные действия, внедрять и применять лучшие практики подхода "инфраструктура как код" – Принимать участие в проектировании и организации вычислительных ресурсов для решения новых функциональных задач и внедрения в эксплуатацию технологий, в части касающейся системного программного обеспечения оркестрации микросервисов и аппаратно-технических средств используемых в средах с применением графических ускорителей платформ искусственного интеллекта – Осуществлять администрирование системного программного обеспечения платформ искусственного интеллекта, включая операционные системы, оркестратор микросервисов, модули управления и мониторинга и другие компоненты Требования: – Опыт сопровождения Kubernetes от 3 лет – Опыт внедрения кластеров виртуализации, частных/публичных облаков с использованием GPU Nvidia для AI/ML, в т.ч. LLM – Опыт использования и развертывания Istio, haproxy, opensearch, vector, kafka, victoria metrics, vault, kyverno, calico, Kserve, multus, sriov, rdma, infiniband, patroni, postgresql, multi-tenant k8s, nvidia gpu-operator, network operator, dcgm, grafana, argo workflow, argo cd – Опыт внедрения и сопровождения систем с использованием сети Infiniband на базе коммутаторов Mellanox – Понимание работы, тюнинг и настройка OpenSM (настройка фабрик Infiniband) – Навыки использования Go\Python (создание скриптов, операторов K8S) – Знание и применение Ansible/Terraform – Понимание принципов работы NFS, S3 (опыт работы приветствуется)