Вакансии

- Проектирование и разработка веб панелей управления для встраиваемых устройств. - Участие в полном цикле проектировании и разработки устройств.

Location: Москва Наша команда создает real-time алгоритмы State Estimation для мобильных роботов (Visual/Lidar/Inertial Odometry, Sensor Calibration, SLAM) и разрабатывает менеджер мультимодальных карт — автоматическое выделение подкарт, выравнивание, сшивание. Наш стек: Linux, Git, Bash, Docker, ROS2; numpy, scipy, opencv, cupy, pytorch, ONNX, TensorRT, pcl, eigen. Обязанности * полный цикл разработки (Python/C++ ~50/50) * pip/uv пакеты и C++ библиотеки * встраивание в CI/CD * оптимизация ресурсов * тесты на реальных роботах * участие в архитектуре всей системы. Требования * опыт в Odometry / Sensor Calibration / Legged Robots State Estimation / SLAM (хотя бы что-то одно) * горите разработкой, ресёчем, математикой, робототехникой * сильный Python и/или C++: PEP8, SOLID, чистая архитектура, ООП, декораторы, чувство цены операций * умеете превратить научную статью в рабочий код; матан/линал/геометрия — «вспомню и применю» **Будет плюсом:** Place Recognition, научные статьи, фильтр Калмана / Factor Graph, работа с камерами/лидарами/IMU, работа c Nvidia Jetson, многопоточность, x86/arm64, PTP/NTP, k3s. Условия * комфортный современный офис возле МЦК ЗИЛ * ежегодный пересмотр зарплаты и годовую премию * уникальную систему обучения Сбера для профессионального и карьерного развития * расширенный ДМС и льготное страхование для семьи * гибкий дисконт по ипотечному кредиту, равный 1/3 от ключевой ставки ЦБ * подписка "Прайм" с возможностью использования на трех близких * вознаграждение за рекомендацию друзей в команду Сбера.

Проводить тестирование продукта Pangolin и сопутствующих средств (скриптов развёртывания, сценариев работы с БД) – регрессионное тестирование, тестирование нового функционала. Хорошее знание теории тестирования, процессов разработки.

We are seeking a Senior DevOps Engineer to join a global fintech organization, working remotely within UTC+2 to UTC+4 time zones. The role involves developing and managing existing infrastructure and CI/CD pipelines utilizing GitLab CI and ArgoCD, supporting application deployments across testing and production stages, and implementing monitoring and logging systems to assist in incident analysis. Candidates should have over seven years of experience in DevOps, with strong practical skills in AWS SDK, Kubernetes, Docker, and Terraform. Familiarity with Helm, GitOps, and monitoring solutions is required, along with solid knowledge of Linux, networking, and scripting in Shell or Python. Proficiency in English at the C1 level is necessary. Additional experience in DevSecOps, Ansible, or Go is considered advantageous.

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. The Role Every payment we process runs on infrastructure we built. At Checkout.com http://Checkout.com, the Cloud Platform team owns the cloud foundations that global payments depend on: a large multi-account AWS estate, a growing Azure platform, and the networking and connectivity that reaches card schemes and banks worldwide. We are genuinely multi-cloud, and we are looking for a Senior Cloud Engineer who is too - a strong generalist who treats infrastructure as a software problem and can deliver from week one. This is a hands-on senior role in an established, fast-moving team. Everything we run is defined in code, deployed through pipelines, and reviewed like software. You will bring deep cloud expertise across AWS and Azure and pair it with a genuine software engineering mindset: you write Terraform modules others build on, you automate away toil rather than documenting it, and you treat the platform as a product with users, SLOs, and a roadmap. As a Senior Cloud Engineer, you are responsible for the technical delivery of your team's services. You will work closely with your Engineering Manager to shape direction, manage dependencies across pillars, and ensure our platform meets the standards a regulated payments business demands. What we are looking for: Deep AWS expertise: Advanced, hands-on experience designing and operating production infrastructure in AWS at enterprise scale: multi-account architectures (Control Tower, Organizations, SCPs), IAM, KMS, and the core compute, storage, and security services that a large regulated estate runs on. You should have a proven track record of delivering resilient, multi-region architectures. Azure experience: Real production experience with Azure alongside AWS: landing zones, VNet architectures, Entra ID, and the Azure resource and governance model. You understand where the two clouds differ and can design well for both rather than forcing one cloud's patterns onto the other. Software engineering mindset: You treat infrastructure as software. Expert-level Terraform: reusable modules, secure state management, and disciplined code review. You are comfortable in a Git-based workflow with CI/CD (we use Spacelift), and you reach for Python or similar to automate what others would handle with a runbook. No ClickOps. Strong cloud networking: Confident designing and debugging in a complex network estate: VPC and VNet design, hub-and-spoke and Transit Gateway or Cloud WAN architectures, DNS, private connectivity (PrivateLink, Private Link), and enough routing knowledge to own connectivity issues end to end rather than escalate them. Kubernetes: Solid experience running containerised workloads in production, ideally on EKS/AKS: cluster lifecycle, workload deployment patterns, and the operational realities of keeping Kubernetes healthy at scale. Security and compliance awareness: Experience operating in regulated environments. You understand why change control, least privilege, and auditability matter, and you design controls in rather than bolting them on. Familiarity with PCI DSS is a strong plus. Engineering excellence: A focus on observability and measurement: you instrument what you build and answer operational questions with data rather than opinion. Leadership and mentorship: A natural ability to guide and mentor peers, translate ambiguous problem definitions into actionable technical plans, and raise the bar through your code and your reviews. Pragmatic problem solver: You understand when to move fast (creating tech debt) and when to move right (paying it off). You are a cornerstone in incident resolution and root-cause analysis. Experience: 5+ years in cloud engineering roles with significant AWS depth. We need someone who can hit the ground running: comfortable joining a complex, established estate and delivering meaningful work in their first weeks, not their first quarter. A degree in Computer Science or a related field is useful but not required; we care about what you can build. HOW YOU’LL MAKE AN IMPACT: Lead Design & Delivery: Take ownership of large-scale platform projects end to end, from architecture through Terraform to production, ensuring they are scalable, secure, and cost-optimised. Build the paved road: Design the platform primitives that every product team at Checkout.com http://Checkout.com builds on, so that the secure path is also the easy path. Architectural Influence: Work with Engineering Managers and architects to refine requirements and shape the technical direction of the platform, documenting significant decisions as ADRs. Operational SME: Act as the Subject Matter Expert for numerous team-owned services, providing advanced operational support and ensuring high availability for our global payment systems. Evangelise Best Practices: Produce exemplary code and documentation that inspires others. You will be responsible for spreading best practices and standards across your group. Manage Dependencies: Navigate the organisation to manage technical dependencies inside and outside your pillar, optimising for both delivery speed and business outcomes. Foster Culture: Embody Checkout Operating Principles, using them to shape the group’s culture and acting as an example of efficiency and professional excellence. AI Integration: Proactively explore and implement AI-driven automation to enhance infrastructure efficiency and team productivity. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Москва Мы ищем не просто стажера, а будущего эксперта на стыке классической информационной безопасности и защиты искусственного интеллекта. В нашей команде ты не будешь варить кофе. Ты погрузишься в защиту периметра следующего поколения (NGFW), научишься строить «щиты» для языковых моделей (LLM Firewall) и разберешься, как защитить бизнес-данные в эпоху генеративного ИИ. Если ты понимаешь, как работает сеть, интересуешься тем, как «взламывают» нейросети, и хочешь учиться у лучших — тебе к нам. ### Обязанности Защита сетей и NGFW: * Помощь в администрировании NGFW: участие в настройке политик межсетевого экранирования и микросегментации. * Мониторинг сетевых аномалий и первичный анализ трафика уровня L7. * Помощь в интеграции событий ИБ со стеком мониторинга SOC. Эксплуатация LLM Firewall (AI Security): * Тестирование промежуточного слоя (Guardrails) между пользователями и LLM. * Генерация тестовых промптов для проверки на уязвимости (prompt injection, jailbreak). * Анализ ответов моделей на предмет утечек конфиденциальных данных из RAG-контекстов. Защита персональных данных: * Участие в задачах по обезличиванию и псевдонимизации данных (маскирование, декомпозиция). * Помощь в аудите цепочек обработки запросов на соответствие требованиям 152-ФЗ. Мониторинг и документирование: * Анализ алертов от SOC, помощь в расследовании инцидентов ИБ. * Актуализация технической документации: рисование схем потоков данных, ведение реестров конфигураций. * Помощь в проверке резервных копий и планировании обновлений СЗИ. Требования * Образование: Студент старших курсов или недавний выпускник (Информационная безопасность, ИТ, Прикладная математика, Computer Science). * Сети: Уверенное понимание модели OSI и стека TCP/IP, базовое понимание принципов маршрутизации. * AI-бэкграунд: Понимание базовых принципов работы LLM (что такое промпт, контекст, RAG, галлюцинации). Интерес к теме AI Security. * Законодательство: Базовое представление о том, что такое персональные данные и 152-ФЗ (или высокая готовность быстро в этом разобраться). * Soft skills: Внимательность к деталям, аналитический склад ума, умение гуглить и читать техническую документацию на английском языке. ### ### Будет преимуществом * Базовые навыки скриптинга на Python (написание простых парсеров, скриптов для автоматизации рутины). * Опыт работы с open-source LLM или инструментами класса guardrails (LiteLLM, NeMo Guardrails). * Участие в CTF-соревнованиях, хакатонах или наличие pet-проектов на стыке ИБ и AI. * Понимание методологий оценки уязвимостей (CVSS). * Инструментальное владение AI для решения рабочих и учебных задач. Условия * Современный офис в д. Аносино, ул. Университетская, вл. 11 (есть трансфер от м. 1905 года); * Льготные ипотечные условия кредитования; * Бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров: Okko, Сбер Маркет, Мега Маркет, Самокат, Еаптека и другие; * ДМС с первого дня и скидки на страхование для близких; * Корпоративная пенсионная программа; * Детский отдых и подарки за счет Компании; * Обучение за счет Компании: онлайн курсы, неограниченный доступ к библиотеке и обучение на базе Корпоративного университета, тренинги, митапы и возможность получить новую квалификацию.

Location: Москва Мы ищем инженера, способного вместе с нами создавать и развивать продукт «Early Warning System», а также СПР-систему для ММБ Индии. Наши основные задачи: * создание автоматизированного процесса своевременного выявления негативных тенденций в деятельности контрагентов на ранних стадиях на основании автоматизированной обработки большого объема данных из различных источников с использованием алгоритмов и моделей с применением технологий искусственного интеллекта * создание автоматизированного рабочего места подразделения мониторинга на целевых платформах Банка, обеспечив максимальную эффективность сотрудников для выполнения их функционала по мониторингу корпоративных клиентов * разработка высоко нагруженного микросервиса Системы принятия решений (СПР) на Java/Scala для автоматического одобрения кредитных заявок в реальном времени с интеграцией ML-моделей и БКИ через Apache Kafka. Обязанности * проектирование, разработка и поддержка инфраструктуры для хранения и обработки больших данных * проектирование и настройка ETL-процессов, используя внутренние и внешние источники данных * проводить аналитику и периодические выгрузки данных для заказчиков * создавать SQL скрипты для работы с БД PostgreSQL. Требования * знание англ.яз. на уровне B1 или выше (готовность подтягивать его и использовать в будущем в работе) * отличное знание SQL * знание одного из языков Scala/Java. Плюсом будет знание Python * опыт работы с большими данными: Hadoop, Spark, Kafka. * знание алгоритмов и структур данных * понимание принципов проектирования и разработки баз данных * опыт работы с БД PostgreSQL, оптимизация запросов **будет плюсом:** * навыки работы с генеративными AI-моделями; опыт создания AI-агентов и использования их в работе будет преимуществом * опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов * инструментальное владение AI для анализа, генерации и автоматизации. * навыки работы с генеративными AI-моделями; опыт создания AI-агентов и использования их в работе будет преимуществом. Условия * комфортный современный офис рядом с м. Кутузовская * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте (для Junior позиций) * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and merchants every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s (& Doordash’s) growth at scale. We’re looking for a Staff Software Engineer to join our Event Streaming Systems team. This is a hybrid role. In this role, you’ll provide technical leadership for the event streaming infrastructure that powers business-critical workflows across Deliveroo, DoorDash and Wolt. You’ll help define the long-term direction of our messaging and streaming platforms, lead high-impact technical initiatives across teams, and raise the reliability, scalability and operational excellence bar for Tier-0 infrastructure. What You’ll Be Doing You’ll be joining the Event Streaming Systems team within the broader Storage organisation. The team builds and operates highly reliable, scalable and efficient event streaming infrastructure, including Kafka, Event Streaming abstractions (internally called EventBus), messaging platform capabilities, and future streaming technologies. The team also partners closely with Database Reliability, Storage, SRE, Data Platform and Core Infrastructure teams to ensure our most critical data and messaging systems remain reliable, operable and cost-efficient at global scale. These systems support Tier-0 workflows and are foundational to how engineering teams build reliable, event-driven products at scale. Here’s what your day-to-day might look like: Define and drive the technical vision and roadmap for our event streaming and messaging platforms, balancing reliability, scalability, cost, operability and developer experience. Lead team-level and cross-team initiatives for Kafka, EventBus and related streaming infrastructure, from ambiguous problem definition through architecture, delivery, rollout and adoption. Act as a trusted technical advisor for Kafka, messaging, storage-adjacent and DBRE-related platform decisions across Deliveroo, DoorDash and Wolt. Design durable, extensible systems and platform capabilities that can be leveraged by other engineers and teams, reducing duplicated effort and operational risk. Lead the resolution of complex distributed systems problems, including reliability incidents, performance bottlenecks, capacity constraints, data-safety risks and production-operability gaps. Raise the operational excellence bar for Tier-0 infrastructure through observability, automation, incident response, runbooks, operational readiness and continuous improvement. Proactively build alignment with partner teams, including EventBus, Storage, DBRE, SRE, Data Platform and Core Infrastructure, shaping joint goals and mitigating cross-org delivery risks. Mentor and grow engineers through technical guidance, design, feedback, code review, incident review facilitation and knowledge-sharing across the engineering community. Evaluate emerging streaming, storage and automation technologies, including AI-enabled operational tooling where appropriate, and champion pragmatic adoption where they can materially improve quality, velocity or efficiency. What You’ll Need to Thrive Our ideal candidate will bring deep expertise in several of these areas and the judgment to lead others through ambiguity: Significant experience building, operating and evolving distributed systems in production, ideally for platform or infrastructure teams supporting critical workloads. Deep hands-on experience with Kafka or comparable event streaming systems as a platform, infrastructure service or business-critical production dependency. Strong technical leadership skills, with a track record of defining technical direction, shaping roadmaps and leading multi-engineer or cross-team initiatives. Ability to make and own technical decisions in ambiguous situations, using data, operational signals, customer needs and long-term system health to guide tradeoffs. Strong coding ability in Java, Go, Python or similar languages, with a focus on reliable, maintainable, observable and scalable production systems. Experience improving production reliability through automation, observability, capacity management, incident response, operational readiness and sustainable on-call practices. Strong distributed systems fundamentals, including Linux, networking, storage, JVM-based systems, fault tolerance, backpressure, capacity planning and performance tuning. A force-multiplier mindset: you create leverage through reusable technical foundations, clear documentation, strong engineering practices, mentoring and removing single points of failure. Strong communication and stakeholder management skills, with the ability to influence platform, infrastructure, product and reliability teams without relying on authority. Nice to have Experience contributing to Kafka or related open source distributed systems. Experience with Redpanda, WarpStream, AutoMQ, Pulsar or similar streaming technologies. Experience with JVM tuning, diskless streaming architectures or multi-region event streaming platforms. Experience operating Tier-0 infrastructure at large scale, including incident leadership and post-incident improvement programs. Experience with database reliability, storage systems, data platforms or DBRE practices in addition to event streaming. Experience using automation or AI-assisted operational tooling to improve reliability, developer experience or incident response quality. Why Join Us? At Deliveroo (Doordash), you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale. Work on complex, always-on infrastructure that impacts millions every day. 🌱 See your impact, fast. Shape the direction of foundational platforms used by teams across Deliveroo, DoorDash and Wolt. 🧠 Grow through challenge and ownership. Lead ambiguous, high-impact technical problems with strong support from peers and leaders. 🌎 A culture built for builders. High standards, collaboration, flexible working and continuous learning. 💰 Share in the success you help create. Competitive salary and equity options, so you’re rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog . We aim to create a fair process that lets your skills shine. Our interview process typically includes 3–4 stages. Explore our Engineering Interview Guide to help you feel confident at each stage. Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale and ambition. Depending on your role, you may collaborate with teammates, systems and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

– образование с математическим уклоном: предпочтительно (но не ограничиваясь) МКН СПбГУ, матфак ВШЭ, мех-мат МГУ, РЭШ, МФТИ, ИТМО и др.; – понимание финансовой математики: знания в области теории вероятностей и случайных процессов, математической статистики и эконометрики;

Анализировать эффективность маркетинговых активностей и искать точки роста; Разрабатывать и поддерживать систему аналитической отчетности;

Location: Москва Наша команда разрабатывает прикладные сервисы для работы с криптовалютами и мы ищем специалиста, которому интересно поучаствовать в становлении данного направления. Обязанности * своевременное устранение рисков кибербезопасности и уязвимостей * сопровождение тестового контура и настройка CI/CD для прокатки на следующих контурах * внедрение современных требований в области DevOps в производственный процесс * конфигурирование и продуктивизация сервисов * настройка мониторинга и дашбордов для оперативного реагирования на инциденты * масштабирование сервисов и оптимизация нагрузки на них (мониторинг трафика и выставление лимитов или масштабирование) * участие в обязательных мероприятиях (аварийные учения, устранение инцидентов) * ведение документации по своему направлению (инструкции для потребителей и для команды) * участие и совершенствование производственного процесса (автовнедрения, AI-повестка). Требования ### Требования * опыт работы в роли SRE от 4 лет * знание Linux на уровне прикладного администратора * опыт работы с Docker (понимание процесса сборки и настройки контейнера), Kubernetes (Helm), Vault Hashi Corp * CI/CD: Jenkins (groovy), Ansible (python) - опыт настройки pipepline * опыт работы с Bitbucket/Jira. ### Будет плюсом * опыт работы с ArgoCD * опыт работы с GitOps * навыки работы с генеративными AI-моделям. Условия * возможность выбрать удобный формат работы: гибрид или офис * график работы: 5/2, 8-часовой рабочий день * комфортный современный офис: Москва, пер. Оружейный, 41 (БЦ Оружейный) * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * ипотека выгоднее до 7% для каждого сотрудника * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Разработка и поддержка парсеров данных. Сбор информации с целевых сайтов согласно ТЗ.

Location: Lithuania; Romania; Estonia; Latvia; Hungary; Bulgaria Workplace: Remote What We're Looking For We are looking for a Senior IT Systems Administrator to be a foundational pillar of our IT organization. This is not a ticket-closing role. We need a proactive owner who can build and manage the technology ecosystem that empowers our entire company. You will have the autonomy to design, implement, and refine the systems and processes that make our organization more secure, efficient, and productive. You will be the go-to expert for our modern, cloud-native tech stack, including Okta, Google Workspace, Slack, Jira, Jamf, n8n, and AWS.If you thrive on automating processes, solving complex challenges, and building reliable, scalable IT systems, this role is for you. What You'll Do - Plan & Strategize: Help shape and maintain the roadmap for our corporate IT infrastructure. Develop clear policies and repeatable processes for identity management, device security, application access, and IT support. - Administer & Automate: Serve as the lead administrator for our core SaaS/IaaS platforms (Google Workspace, Okta Jamf, Slack, Atlassian Suite). Use n8n, scripting (Python, JavaScript, etc.), AI tooling, and native tool automation to eliminate manual work, streamline user lifecycle management, and integrate systems. - Administering or enabling AI tools (such as Claude or similar) in a business setting, including SSO/SCIM provisioning, usage and spend management, and a security-minded approach to data access and integrations. Comfort using LLMs to speed up your own scripting, troubleshooting, and documentation. - Secure & Optimize: Implement and maintain security best practices across all systems. Manage endpoint security and configuration with Jamf, enforce access policies with Okta, keep our office networks secure and performing well, and monitor our environment for performance and compliance. Help enable AI tools safely by managing access, usage limits, and connector permissions. - Empower & Support: Build a great employee experience by providing reliable systems and excellent support. Act as a senior escalation point, create clear documentation, and support our IT service desk (Jira Service Management) by resolving complex issues, improving workflows, and automating recurring requests to ensure timely resolution. - Collaborate & Deliver: Partner with Security, HR, Engineering, and other departments to understand their needs and deliver technology solutions that help them achieve their goals. What You'll Bring - 5+ years of experience as a Systems Administrator in a cloud-first environment. - Proven experience managing core business platforms, including Google Workspace for productivity and Jamf for Apple device management. - A strong sense of ownership and the ability to work independently. You can take a high-level goal, break it down, and execute without constant supervision. - Proficiency in administering the Atlassian Suite (Jira, Jira Service Management, Confluence), with a knack for creating clean workflows and automations that serve the business, not just the tool. - A solid understanding of IT security principles, networking fundamentals, and cloud infrastructure (especially AWS basics). - Hands-on experience with Identity and Access Management, including managing an IdP like Okta. - Strong scripting and automation skills in a language like Python or JavaScript, and experience building workflows in n8n or a similar tool (Zapier, Workato, Kestra). You default to automating a task rather than doing it twice. - Practical experience with office networking, including firewalls, Wi-Fi, VPN, and DNS/DHCP, and monitoring it with tools like Datadog. - Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Bonus Points For: - Professional certifications (e.g., Okta Certified Professional, Jamf Certified Admin, AWS Certified Cloud Practitioner, Fortinet NSE). - Experience with Infrastructure as Code (IaC) tools like Terraform. - Familiarity with Agile methodologies and working in a DevOps culture. - Experience managing IT budgets and vendor relationships. - Experience with FortiGate or Ruckus, or advanced Datadog use (custom monitors, SNMP/syslog ingestion, integrations with PagerDuty or Slack). Candidate journey ⭕️ Recruiter call → ⭕️ Skills assessment → ⭕️ Systems design → ⭕️ Meet the Leadership team Check out some of our products Muscle Booster — https://musclebooster.fitness/ Yoga-Go — https://yoga-go.io/ WalkFit - http://walkfit.pro

Location: London, United Kingdom Workplace: remote We are looking for a Lead Applied Researcher — Pricing to design and evolve dynamic pricing systems for our marketplace. You will develop pricing as a feedback-driven decision system , balancing supply, demand, and business outcomes under uncertainty and delayed signals. Unlike traditional surge-based pricing, our marketplace operates on a unique bid-based pricing model , where prices are shaped through direct negotiation between riders and drivers. This creates a fundamentally different optimization problem, requiring advanced approaches to modeling user behavior, incentives, and marketplace dynamics. Key Responsibilities Design and improve dynamic pricing policies, including elasticity and supply/demand response modeling Frame pricing as a decision system under uncertainty and delayed feedback Develop, test, and deploy real-time pricing algorithms Design and analyze A/B experiments to evaluate pricing impact Productionize models in collaboration with engineering, ensuring scalability and robustness Monitor system performance, including stability, feedback effects, and long-term behavior Contribute to methodological choices (e.g., optimization, control, RL-inspired approaches) Skills, Knowledge and Expertise Professional experience in Data Science, Applied Research, or algorithmic product optimization, preferably in marketplaces or pricing systems Strong background in statistics, optimization, and causal inference Proven ability to move from problem formulation to production-grade solutions Proficiency in Python, SQL, and experience with production ML systems Nice to Have Experience with economic modeling (elasticity, auctions, policy design) Familiarity with control systems, RL, or online optimization Experience working with real-time, high-load systems Why join us Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 47 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid We are looking for a Lead Applied Researcher — Pricing to design and evolve dynamic pricing systems for our marketplace. You will develop pricing as a feedback-driven decision system , balancing supply, demand, and business outcomes under uncertainty and delayed signals. Unlike traditional surge-based pricing, our marketplace operates on a unique bid-based pricing model , where prices are shaped through direct negotiation between riders and drivers. This creates a fundamentally different optimization problem, requiring advanced approaches to modeling user behavior, incentives, and marketplace dynamics. Key Responsibilities Design and improve dynamic pricing policies, including elasticity and supply/demand response modeling Frame pricing as a decision system under uncertainty and delayed feedback Develop, test, and deploy real-time pricing algorithms Design and analyze A/B experiments to evaluate pricing impact Productionize models in collaboration with engineering, ensuring scalability and robustness Monitor system performance, including stability, feedback effects, and long-term behavior Contribute to methodological choices (e.g., optimization, control, RL-inspired approaches) Skills, Knowledge and Expertise Professional experience in Data Science, Applied Research, or algorithmic product optimization, preferably in marketplaces or pricing systems Strong background in statistics, optimization, and causal inference Proven ability to move from problem formulation to production-grade solutions Proficiency in Python, SQL, and experience with production ML systems Nice to Have Experience with economic modeling (elasticity, auctions, policy design) Familiarity with control systems, RL, or online optimization Experience working with real-time, high-load systems Why join us Help us challenge injustice by creating fair choices for millions of people across in 47 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Annual salary from EUR 80 200 gross Final benefits may vary depending on the location.

• Уверенный Python, Django/DRF, PostgreSQL. • Celery и Redis в продакшене.

Location: Москва Наша команда работает над созданием аналитической платформы для управления эффективностью организации. Данное решение позволит формировать стратегию и ставить цели, планировать, прогнозировать и контролировать исполнение планов, рассчитывать премии сотрудников. Решение предназначено для более 10 тысяч пользователей, содержит сотни сервисов и десятки терабайт данных. Мы разрабатываем ядро аналитической платформы – общие технологические сервисы для разработчиков и low/no-code инструменты для аналитиков в части реализации бизнес-логики. **Целевой технологический стек:** React, Java, Python, JavaScript, ClickHouse, GreenPlum, Spark, PostgreSQL, k8s, Apache SuperSet, а также ряд собственных готовых решений Сбера. Обязанности ### **Задачи:** * брать на себя ответственность за: \- достижение бизнес и ИТ целей продукта \- технологическую составляющую продукта и его развитие \- техническое состояние, надежность и стабильность работы систем * разработка и исполнение ИТ стратегии развития продукта * повышение эффективности процессов разработки, тестирования, внедрения и сопровождения * прототипирование решений и подходов * планирование и контроль достижения целей * выстраивание взаимодействия с кросс-командами, выявление и устранение проектных и кросс-проектных ИТ рисков * коммуникация с командами и формирование видения целевой архитектуры * cинхронизация команд в части подходов, видения и стандартов проектирования и разработки * выявление ИТ рисков и организация мероприятий по их митигации * управление техническим долгом * подбор, развитие компетенции сотрудников, управление их мотивацией и карьерными треками. Требования ### **Мы ожидаем:** * опыт разработки или внедрения ПО от 3х лет в роли архитектора или руководителя команды в условиях взаимодействия с несколькими смежными командами * опыт разработки систем бюджетирования, планирования или бизнес-анализа * опыт работы с классическими BI-системами (Tableau, QlikView, SAP BW, Hyperion, Cognos) или open-source решениями (Superset) или российскими BI-решениями * опыт проектирования, построения и внедрения информационно-аналитических систем, ETL, DWH и BI решений * опыт руководства командой от 20 чел * глубокое понимание архитектуры корпоративных приложений, архитектурных паттернов и концепций * понимание принципов производственного процесса выпуска ПО (CI/CD) * понимание принципов построения микросервисной архитектуры, механизмов обеспечения надежности и повышения производительности ИТ-решений. Условия ### **Мы предлагаем:** * конкурентная заработная плата: оклад + бонусы * масштабные и интересные задачи в agile команде * ДМС для сотрудников и скидки на медицинскую страховку для родственников * бесплатный тренажерный зал и спортивные групповые занятия * дисконт-программы от компаний партнеров: фитнес, страхование, туризм * обучение и тренинги * профессиональный и позитивный коллектив.

We are looking for an engineer who is ready to take responsibility for a complex production environment and influence future architectural decisions. I'm looking for a skilled Middle+/Senior DevOps Engineer in our team 🚀.