Вакансии

Location: Москва Мы - команда инженеров, которые строят платформу для инференса и SFT opensource LLM. Используем продвинутые cutting edge движки для инференса, много экспериментируем и боремся за каждую дополнительную единицу в Token thoughput. Cейчас мы находимся в поиске Linux инженера, который возьмет на себя вопросы, связанные с разворачиванием, настройкой и тонким тюнингом core Linux для обеспечения оптимальной работы инференс движков. Обязанности ### Обязанности * настраивать, поддерживать и траблшутить GPU-инфраструктуру Блока * настраивать логирование, мониторинг и алертинг работоспособности всех компонентов инфраструктуры * коммуницировать со смежными подразделениями в части улучшений инфраструктурного ландшафта Блока — участвовать в оценках инфраструктуры под новые продукты и проекты. Требования ### Требования * продакшн опыт работы с GPU-инфраструктурой и инференсом SOTA LLM * опыт с ОС Linux: основные дистрибутивы, troubleshooting работы сервисов, оценка «здоровья» системы. * глубокое понимание этапов настройки ОС: сеть, диски, основные сервисы. * понимание устройства baremetal-сервера: CPU, RAM, сеть, хранение, шина PCI, топология GPU (NVLink/PCIe); ввод узлов в эксплуатацию, драйверы NVIDIA, CUDA * понимание сетевого уровня: протоколы TCP/IP, Ethernet, VLAN, MTU, TTL, DHCP, DNS, ARP, NTP. * опыт работы с инструментами мониторинга и логирования: Grafana, Elasticsearch, OpenTelemetry. * написание скриптов на bash, знание systemd * навыки программирования на Python. ### Будет плюсом * опыт работы с высокоскоростными interconnect-технологиями GPU-кластеров( RDMA/RoCe/Infiniband) и понимание работы NCCL. Условия ### **Условия** * гибридный формат работы (2-3 дня в офисе) из г. Москва * годовой бонус и ежегодный пересмотр * расширенный ДМС с первого дня + стоматологию и льготное страхование для семьи * корпоративный университет Сбера, внутреннюю образовательную платформу, участие в IT-конференциях * офис на Кутузовской с зонами отдыха и спортзалом * льготную ипотеку в Сбере, корпоративную пенсионную программу, подписку СберПрайм с возможностью совместного использования на трёх близких, скидки от партнеров и сервисов группы компаний.

Location: Hong Kong Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. Your future role within QRT: QRT is expanding its global Network Operations capability to provide first-class 24/7 operational support for critical global network infrastructure and is seeking a Cloud SME within the Network SRE team. The successful candidate will act as the subject matter expert for cloud networking within the Cloud Network SRE team. In this role, you will bridge traditional network operations and advanced Site Reliability Engineering (SRE) practices for AWS network services and the wider hybrid network environment. You will be responsible for helping manage and maintain QRT’s cloud, on-prem and network automation platforms. QRT operates with an Infrastructure as Code (IaC) mindset, so you will be expected to demonstrate experience operating complex infrastructure at scale through automation, controlled releases and robust change governance. You will work closely with Network Engineering, Network Automation, Platform Engineering, Research, trading support and external vendor teams to drive continuous improvement, observability, self-healing automation, security, availability and reliability across our global hybrid cloud, WAN, Internet, datacentre and low-latency network footprint, while spearheading the team’s strategic roadmap and backlog delivery. Responsibilities Cloud Network Reliability Drive high-tier support and incident response for complex cloud and hybrid network incidents, coordinating with AWS and network vendors where required. Conduct thorough post-incident reviews and root-cause analyses, using findings to improve resilience, monitoring, automation and capacity planning. Serve as the definitive technical SME for the newly formed Cloud Network SRE team, collaborating closely with engineering, platform, and support teams to continuously improve service delivery. Drive high-tier support and incident response for complex hybrid (cloud and on-premises) network incidents. Conduct thorough post-incident reviews (PIRs) and root-cause analyses (RCAs) to prevent recurrence. Strategic Roadmap & Agile Delivery Lead the team’s strategic technical roadmap, creating and tracking against SLI/SLO targets, recurring incidents, Incident/RCA findings, capacity trends and long-term reliability/platform goals into actionable initiatives. Refine, prioritize, and manage the team backlog, translating strategic objectives into structured tasks integrated into regular agile sprint cycles. Collaborate with Network Engineering to transition new AWS network services, such as regional AWS Direct Connect deployments, into production operations with appropriate monitoring, documentation and support readiness. Observability, Automation, & Infrastructure as Code (IaC) Lead the creation and continuous improvement of monitoring dashboards, alerting and observability frameworks for cloud network services, alert prioritisation, trend/correlation analysis, fast fault detection and telemetry-driven incident response. Partner tightly with Network Automation and Platform Engineering teams to automate high-frequency operational tasks through automation, CI/CD, GitOps or orchestration where appropriate, reducing toil and enabling self-healing or event-driven remediation where practical. Oversee network configuration changes managed via Terraform and related automation tooling, ensuring peer review, controlled release/rollback, robust change control and alignment to internal architecture standards. Operational Governance & Vendor Partnership Conduct regular service performance reviews with AWS technical/account teams and relevant network vendors to review recurring issues, support deep-dive investigations, align on roadmap features and ensure contracted SLAs and internal SLOs are met or exceeded. Create and maintain robust operational documentation, architecture diagrams, and runbooks to drive down Mean Time to Resolution (MTTR). Required Skills & Experience Proven experience in a Site Reliability Engineering, Network Engineering or Cloud Infrastructure role, operating complex infrastructure at scale within a high-performance, mission-critical environment. Financial services or low-latency trading experience preferred. Expertise in AWS core networking services: AWS Direct Connect, Transit Gateway, VPC, Route 53, VPC Flow Logs, Cloud native firewall architectures, and PrivateLink. Strong production experience with Terraform for network provisioning and state management. Proficiency with modern observability and monitoring stacks (e.g., Prometheus/PromQL, Grafana, AWS CloudWatch) with experience improving alert quality and operational visibility. Demonstrated capability in scripting and automation using Python, Bash or Go, with exposure to CI/CD, GitOps, Ansible or orchestration workflows. Solid understanding of core networking protocols and architectures (BGP, IPsec VPNs, TCP/IP, DNS, routing/switching design). Experience driving technical roadmaps, backlog refinement, and sprint planning in an agile environment. Strong analytical and problem-solving skills with a bias toward automation over manual toil. Excellent communication skills to interface across platform engineering, trading desks, and external cloud vendors. Working Pattern This role operates within a global Network team. Participation in on-call, out-of-hours escalation, maintenance windows, and major incident response will be required, consistent with the operational nature of the team QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Москва IТ B2C — самая крупная экосистема в Сбере. Нас более 8000 человек в 18 городах России. Мы занимаемся разработкой и развитием розничных решений, помогая сделать сервисы Банка доступнее, безопаснее и удобнее. Обязанности * Развивать и сопровождать платформу мониторинга на базе VictoriaMetrics и Grafana: обеспечивать доступность, производительность и устойчивость её компонентов * Подключать ИТ-услуги к мониторингу: совместно с командами разработки определять необходимые метрики, настраивать сбор данных, дашборды и правила оповещения * Улучшать качество алертинга: сокращать ложные и дублирующие срабатывания, настраивать маршрутизацию уведомлений, связывать оповещения с инструкциями по диагностике и восстановлению * Совместно с владельцами сервисов определять SLI/SLO и настраивать контроль доступности, задержек и ошибок в критичных сценариях * Диагностировать инциденты платформы, участвовать в восстановлении работоспособности и разборе первопричин; реализовывать меры, предотвращающие повторение сбоев * Контролировать производительность и потребление ресурсов: анализировать кардинальность метрик, тяжёлые запросы и сроки хранения данных, планировать масштабирование * Автоматизировать развёртывание, обновление и конфигурирование компонентов; развивать CI/CD-пайплайны в Jenkins и Argo CD, хранить конфигурации в Git. Требования * Практический опыт эксплуатации production-систем в роли SRE, DevOps-инженера, инженера мониторинга или системного инженера * Уверенная работа с Linux: диагностика процессов, памяти, CPU, дисковой подсистемы и сетевых взаимодействий; понимание TCP/IP, DNS, HTTP и TLS * Практический опыт с VictoriaMetrics или Prometheus и Grafana: сбор метрик, дашборды, правила оповещения; умение писать и анализировать запросы PromQL/MetricsQL * Понимание типов метрик, labels, кардинальности и принципов построения полезного мониторинга приложений и инфраструктуры * Опыт диагностики инцидентов по метрикам и логам; понимание отказоустойчивости, резервирования и безопасного внесения изменений. * Навыки автоматизации на Bash и/или Python; работа с Git и конфигурациями YAML/JSON * Опыт настройки или сопровождения CI/CD-пайплайнов в Jenkins, Argo CD либо аналогичных инструментах. **Будет плюсом:** * Знание SQL для диагностических запросов и понимание основ работы PostgreSQL и Kafka * Умение самостоятельно вести техническую задачу от диагностики до проверенного результата, взаимодействовать с разработкой, инфраструктурными командами и владельцами ИТ-услуг * Опыт эксплуатации кластерной VictoriaMetrics, работы с vmagent, vmalert, Alertmanager и Grafana Alerting * Опыт работы с контейнерами и Kubernetes, Helm и GitOps-подходом. * Практика применения SLI/SLO, error budget, postmortem и автоматизации повторяющихся эксплуатационных операций * Опыт построения централизованного логирования, распределённой трассировки и инструментирования приложений с OpenTelemetry * Опыт работы с PostgreSQL/Patroni и Kafka/Corax: диагностика репликации, задержек обработки и проблем производительности * Разработка интеграций, экспортёров метрик и служебных инструментов на Go, Python или Java * Опыт создания AI-агентов и использования их в работе * Опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов * Инструментальное владение AI для анализа, генерации и автоматизации. Условия * Формат работы - гибрид (БЦ Поклонка) * Ежегодный пересмотр зарплаты и годовая премия * Корпоративный спортзал и зоны отдыха * Более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * Гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * Расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * Бесплатная подписка СберПрайм с возможностью совместного использования на трех близких, скидки на продукты компаний-партнеров * Вознаграждение за рекомендацию друзей в команду Сбера * Корпоративная пенсионная программа.

Предстоит помогать команде принимать технические решения, обновлять стек и улучшать процесс разработки.

От 3 лет опыта в DevOps; Уверенный Linux, Docker, Kubernetes;

Location: Москва Workplace: Офис, Гибридный Финтех — молодое и перспективное направление Яндекса. Мы создаём удобные платёжные сервисы и инструменты для управления личными финансами. У нас атмосфера стартапа и динамично развивающаяся команда. Наша команда разрабатывает ключевые части веб-версии продукта и мобильного приложения Яндекс Пэй: личный кабинет пользователя, платежи и переводы, маркетинговые проекты, процессы идентификации и многое другое. Мы ищем руководителя, который вместе с нами будет строить качественные клиентские приложения: развивать команду фронтенд-разработчиков, участвовать в выборе архитектуры, технологий и подходов к поставке, помогать регулярно выкатывать изменения в продакшен. Впереди много интересных задач — приходите! Обязанности Руководство командой и её развитие Вы возглавите команду из 7+ фронтенд-разработчиков: будете проводить встречи 1:1, поддерживать профессиональный рост сотрудников, работать с мотивацией и вовлечённостью. Организация работы над проектами Вам предстоит распределять нагрузку, координировать работу со смежными командами и стейкхолдерами из продукта, дизайна и бизнеса, контролировать сроки. Вы также будете выстраивать процессы поставки изменений (CI/CD, автоматизация сборок, тестирование, релизы) и следить, чтобы команда придерживалась лучших практик написания кода. Архитектура и технический долг Вы станете участвовать в проработке архитектуры сервисов и помогать команде принимать технические решения, а также управлять техдолгом и приоритизировать технические инициативы, чтобы скорость разработки не мешала качеству и стабильности. Больше о фронтенде в Яндексе — в канале Yandex for Frontend Требования * Руководили командой разработки не менее года * Знаете современные практики разработки (Agile, Scrum, Kanban), понимаете их различия и умеете адаптировать процессы под контекст команды * Принимали сложные архитектурные решения, проектировали и развивали комплексные системы с акцентом на стабильность и качество * Умеете держать баланс между скоростью разработки и качеством * Умеете коммуницировать с разными стейкхолдерами (продукт, дизайн, бизнес) * Хорошо разбираетесь во фронтенде и современном стеке (React, TypeScript, Next.js, NestJS) * Понимаете, как выстраивать CI/CD, автоматизацию сборок, тестирование и релизы Будет плюсом * Проектировали микросервисы или микрофронтенды * Знакомы с Kubernetes, Istio, Grafana, VictoriaMetrics * Работали с GraphQL и проектировали BFF-слой

Location: Moldova Company Background Our client is a global technology company transforming the way brands and agencies make marketing decisions. Its platform enables marketers to plan and activate cross-channel, programmatic media campaigns using real-time research, proprietary audience data, advanced analytics, and more than 150 integrated partners including Facebook, Instagram, Pinterest, Snapchat, and Twitter. The company operates across North America, Europe, the Middle East, Asia, and Australia. Project Description As part of our infrastructure team, you will support our ongoing AWS migration, improve the operation of our on-premises clusters, and help strengthen infrastructure governance. You will work closely with infrastructure engineers and partner teams to coordinate operational work and make infrastructure practices more consistent across the organization. Technologies Kubernetes, Docker, Helm DNS AWS Terraform, Ansible Bare-metal provisioning, Access management Argo CD / Flux GitHub Actions / GitLab CI / Jenkins Grafana / Loki / Prometheus / Alertmanager Bash, Python Git, Linux What You'll Do Build, operate, and upgrade Kubernetes clusters across on-premises and AWS environments; Establish and maintain a consistent Kubernetes upgrade schedule and lifecycle management process; Manage and maintain the existing DNS infrastructure and its routing configuration; Support the migration of infrastructure workloads and services to AWS; Contribute to bare-metal provisioning and access management, and support monitoring and log analysis with Grafana and Loki; Provide infrastructure support and incident response during agreed coverage hours aligned with the Eastern European time zone; Help improve governance and standardize operational practices across infrastructure teams; Share knowledge with regional peers and collaborate with teams across the organization; Contribute to cost visibility and FinOps practices across AWS and on-premises environments; Job Requirements Strong hands-on experience managing Kubernetes clusters, including upgrades and day-to-day operations; Experience operating Kubernetes in both on-premises and cloud environments; Solid understanding of DNS and how it interacts with network routing; Working knowledge of AWS; A proactive, independent approach, with the ability to identify useful work and take ownership of it; Willingness to participate in an on-call rotation; English level: B2 or higher; Nice To Have Broader infrastructure or data-center experience; Experience with bare-metal provisioning and access management; Experience with monitoring and logging tools such as Grafana and Loki; A background in networking and routing; Exposure to FinOps, cloud cost management, or infrastructure cost allocation across cloud and on-premises environments; What Do We Offer The global benefits package includes: Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional grow and development; Health insurance; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days.

Location: Москва Мы ищем в команду дежурной смены инженера. Предстоит сопровождать высоконагруженные продукты. Обязанности ### Задачи: * вести круглосуточный мониторинг состояния ИТ-инфраструктуры, реагировать на алёрты, принимать входящие обращения пользователей и консультировать их в рамках компетенции * выполнять сопровождение продуктов серверов приложений (OpenShift и другие) в рамках компетенции * регистрировать и сопровождать инциденты и заявки в ITSM-системе (Jira SD, ServiceDesk), контролировать их исполнение, эскалировать на следующие линии поддержки и взаимодействовать с профильными командами, подрядчиками и клиентами * выполнять регламентные и плановые работы, сопровождать и координировать, вести оперативную документацию и отчётность * пополнять базу знаний, переносить решения по отработанным инцидентам, разрабатывать инструкции. Требования ### Мы ждем от тебя: * коммерческий опыт в техподдержке 2-я линия, системном администрировании или мониторинге от 2 лет * опыт работы с системами мониторинга (Zabbix, Grafana), знания Linux в рамках работы в командной строке, использование bash для написания простых скриптов для диагностики и автоматизации рутинных операций, навыки траблшутинга Linux * понимание принципов работы многоузловых вычислительных сред, навыки работы по ранбукам и регламентам * понимание сетей в стеке TCP/IP * навыки промпт-инжиниринга и опыт работы с AI-ассистентами, готовность адаптироваться к корпоративным AI-инструментам. Условия ### Мы предлагаем: * офис рядом с м. Кожуховская * график 3/3 (дневные и ночные смены) * ежегодный пересмотр зарплаты и годовая премия * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи * 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: Москва Команда инфраструктурного мониторинга отвечает за стабильность и производительность высоконагруженных систем. Мы переходим от реактивного подхода к проактивному: строим систему, которая предсказывает сбои до их возникновения. Наша цель — создать внутренний AI-слой, который автоматизирует рутину эксплуатации, анализирует петабайты логов и трассировок, а также помогает инженерам принимать решения на основе данных, а не интуиции. Обязанности ### Чем предстоит заниматься: * создавать и внедрять в продакшен модели временных рядов для прогнозирования нагрузки на инфраструктуру и предиктивного алертинга, чтобы выявлять аномалии за часы или дни до деградации сервиса * разрабатывать пайплайны автоматической классификации и группировки алертов и строить системы семантического поиска и суммаризации причин сбоев по неструктурированным данным с использованием внутренних LLM * проектировать архитектуру взаимодействия с внутренними LLM для автоматической категоризации инцидентов, генерации рекомендаций по устранению и нормализации данных мониторинга * выстраивать полный цикл работы с ML в production от версионирования данных и моделей (MLflow / DVC) до автоматизированного A/B-тестирования версий моделей, мониторинга деградации качества (data drift, concept drift) и автоматического переобучения * применять методы оптимизации инференса для обеспечения низкой задержки ответов AI-сервисов в контуре real-time мониторинга * участвовать в проектировании потоков данных (ClickHouse, Redis, Kafka) для обеспечения ML-моделей актуальными фичами в режиме, близком к реальному времени * работать в тесной связке с SRE, DevOps и разработчиками бэкенда для обеспечения отказоустойчивости AI-сервисов и развития CI/CD-процессов. Требования ### Мы ждем от тебя: * коммерческий опыт разработки на Python от 3-х лет, уверенное знание Python Core, GIL и принципов работы CPython * понимание классического машинного обучения от алгоритмов временных рядов (ARIMA, Prophet, LSTM, CatBoost для time-series) до задач классификации и кластеризации * опыт работы с СУБД в рамках написания сложных запросов, понимание партиционирования и движков таблиц (PostgreSQL, Oracle, Redis, ClickHouse) * опыт написания качественного, покрытого тестами кода (pytest, unittest, принципы TDD, проектирование тестируемой архитектуры) * опыт работы с Docker, понимание многослойных образов и оптимизации их размера, опыт работы с GitLab CI, Jenkins или GitHub Actions, написание пайплайнов для автоматической сборки, тестирования и доставки ML-сервисов * знание протоколов сетевого взаимодействия HTTP/1.1, HTTP/2, REST, gRPC, а также брокеров сообщений (Kafka, RabbitMQ) * практический опыт MLOps: контейнеризация моделей, настройка мониторинга дрейфа данных, пайпланы переобучения. Будет плюсом: * опыт работы с экосистемой Big Data: PySpark, Hadoop, Airflow (построение сложных DAG для подготовки фичей) * опыт работы с Kubernetes/Openshift: написание Helm-чартов, настройка ресурсов (CPU/Memory), работа с PodDisruptionBudgets и HorizontalPodAutoscaler. * понимание Observability-стека: Prometheus (архитектура, PromQL), Grafana, Loki, Tempo, OpenTelemetry * опыт работы в fintech, highload или data-intensive проектах, где цена ложного срабатывания или пропуска аномалии критически высока * опыт интеграции с LLM через API, prompt engineering, работа с векторными базами данных для RAG и семантического поиска * знание спецификаций взаимодействия с моделями или опыт разработки собственных AI-агентов для автоматизации рутинных задач эксплуатации. Условия ### **Мы предлагаем:** * офис рядом с м. Кожуховская * офисный формат работы на время адаптации * ежегодный пересмотр зарплаты и годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи * 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: Kyiv, Ukraine Intetics Inc. , a global technology company providing custom software development and digital solutions, is looking for a Technical Coordinator / Solution Engineer to join our team. We are seeking a hands-on technical professional who will be responsible for deployment, configuration, automation, troubleshooting, and operational support of an enterprise software solution within a secure environment. This role is ideal for an experienced Infrastructure Engineer, DevOps Engineer, Systems Engineer, or Technical Support Engineer who enjoys solving complex technical problems, working directly with users, and ensuring the reliable operation of business-critical systems. Responsibilities: Deploy, configure, and maintain local server-side software components. Set up and support application environments, databases, integrations, and supporting infrastructure. Develop and maintain automation and orchestration scripts. Support data processing, import/export, synchronization, and workflow execution. Monitor system health, identify issues, and proactively perform troubleshooting. Investigate and resolve setup, configuration, integration, and environment-related problems. Work with APIs and connected systems to support data exchange and operational workflows. Collaborate with remote engineering and product teams to implement changes and enhancements. Maintain technical documentation, operational procedures, and troubleshooting guides. Support software releases, upgrades, and infrastructure changes. Participate in testing, validation, acceptance activities, and production readiness reviews. Train customer-side users and technical personnel when required. Act as the primary technical point of contact for operational and support-related matters. Requirements: Strong experience with Linux and/or Windows Server administration. Experience deploying, configuring, and supporting enterprise applications. Hands-on experience with Bash, PowerShell, or Python scripting. Experience with automation and operational support processes. Good understanding of networking fundamentals (TCP/IP, DNS, VPN, HTTPS, firewalls). Experience troubleshooting application, infrastructure, and integration issues. Familiarity with databases and SQL. Experience working with APIs and system integrations. Strong analytical and problem-solving skills. Ability to work independently and communicate effectively with distributed teams. English level sufficient for participation in technical meetings and communication with international teams. Nice to Have: DevOps, Infrastructure Engineering, or Site Reliability Engineering experience. Experience with cloud platforms (AWS, Azure, GCP). Experience with Docker, Kubernetes, CI/CD pipelines, or Infrastructure as Code tools. Experience with monitoring and observability platforms (Grafana, Prometheus, ELK, Zabbix, etc.). Experience supporting secure or highly regulated environments. Knowledge of GIS, visualization systems, spatial data, or 3D platforms. Customer-facing implementation, deployment, or technical consulting experience. Work Format: Long-term project engagement. Hybrid work format with periodic on-site meetings in Kyiv. Flexible workload depending on project phase, implementation activities, updates, and support needs. Increased involvement during deployment, configuration, integration, and acceptance stages. What You Should Know This is not a pure software development role and not a project management role . The primary focus is: deployment and configuration; infrastructure and environment support; automation and operational excellence; troubleshooting and incident investigation; customer collaboration and technical coordination. We are looking for someone who enjoys taking ownership of technical environments and driving solutions from implementation through long-term support.

Location: Tbilisi, Georgia; Yerevan, Armenia; Belgrade, Serbia; Batumi, Georgia; Almaty, Kazakhstan; Minsk, Belarus We're looking for a Go Developer to join our engineering division of a financial group. We build products for investment and banking: client personal account, backend services, integrations with brokerage and payment systems, KYC/AML processes. We work in a small cross-functional team (PO, DevOps, QA, designer, backend and frontend), where every engineer influences architecture and product. What You'll Do Develop and evolve backend services in Go (microservices, BFF for mobile and web clients) Design and implement integrations with external financial APIs (brokerage platforms, payment providers, market data providers, custodial services) Work with event-driven architecture on Kafka and the ClickHouse analytical data warehouse Participate in design: discuss architectural decisions, write tech designs, conduct code reviews Ensure service reliability and observability: metrics, logs, alerts, participation in incident review Work with financial data security: authentication, anti-fraud mechanisms, regulatory compliance Requirements 3+ years of commercial Go development experience Solid knowledge of the standard library, concurrency (goroutines, channels, context), working with gRPC/REST Experience with PostgreSQL (or another relational DB), understanding of transactions and data consistency Experience with message brokers (Kafka or similar) Understanding of distributed systems principles: idempotency, retries, failure handling Experience with Docker and Kubernetes at the developer level Habit of writing tests and working through code review Russian as the team's working language; English at a level sufficient to read documentation Nice to Have Experience in fintech: brokerage, payments, banking, KYC/AML Experience with ClickHouse Familiarity with AWS (EKS, RDS, DynamoDB), GitLab CI, ArgoCD Experience integrating with financial APIs (Bloomberg/Refinitiv, brokerage APIs, Fireblocks, etc.) Experience with observability systems (Prometheus, Grafana, VictoriaMetrics/VictoriaLogs) Benefits Competitive salary Annual performance bonus Fully remote work Product development, no outstaffing, influence on architecture and roadmap Small team, minimal bureaucracy, direct access to the business Working hours are from 9:00 to 18:00 (Cyprus Time) 24 working days of paid annual leave, in addition to statutory public and bank holidays in Cyprus 14 working days of paid sick leave per calendar year

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, Texas | Lisbon, Portugal About The Department Cloudflare’s Infrastructure group is responsible for building our global network. Our Hardware Engineering team helps research, develop, test, and deploy new equipment enabling 20% of the world’s internet traffic to be served smoothly. Deployed across 330 cities in 120+ countries, the hardware we select helps improve the security, reliability, and performance of the Internet. About The Role We need to make thoughtful infrastructure choices affecting a significant portion of the Internet. Hardware we work with includes GPUs, servers and components, as well as PDUs and network hardware. As a Hardware Systems Engineer, you will work with colleagues on the Engineering teams, Product and Performance teams, and Hardware Sourcing teams to design, qualify and maintain Cloudflare’s worldwide fleet of GPU servers. What You'll Do Contribute to the technical requirements and end-to-end delivery of AI infrastructure — compute, networking, storage, power, and cooling — not just the accelerator Evaluate, select, and qualify AI hardware platforms (GPUs, custom ASICs, SmartNICs, storage) based on real workload requirements and first-principles analysis Design and validate rack-scale GPU systems: multi-node topologies, high-speed interconnects (NVLink, InfiniBand, RoCE), power distribution, and thermal management Run hands-on qualification: benchmarking, stress testing, failure mode analysis, and vendor RCA — you close the loop yourself Assess and qualify ODM/OEM server platforms; engage directly with vendors and work through the full technical qualification cycle Translate AI product and workload requirements into precise infrastructure specifications Identify gaps in the existing infrastructure stack and drive solutions across hardware, firmware, software, and operations Stay ahead of the AI hardware landscape — new silicon, new interconnects, new form factors — and bring informed, opinionated recommendations Build tooling and automation to support qualification workflows, performance analysis, and ongoing operational visibility Communicate your results and updates through blog posts and internal talks Examples Of Desirable Skills, Knowledge And Experience Bachelor’s, Master’s, or PhD degree in Computer Engineering, Electrical Engineering, or Computer Science Experience in AI infrastructure, systems engineering, or hardware platform engineering First-principles understanding of AI accelerator architecture: compute pipelines, memory hierarchy (HBM, GDDR), interconnect topology, and/or how workload characteristics map to hardware capabilities Hands-on experience qualifying AI server platforms — you've run NCCL tests, profiled collective operations, debugged NVLink errors, and chased down PCIe lane misconfigurations Understand rack-scale systems: high-density power (kW/rack, busbar, PDU), liquid cooling (rear-door, direct liquid, immersion), high-speed networking infrastructure, and/or physical layer constraints Experience with AI/ML frameworks (vllm, sglang) at the systems level — you understand what they demand from the hardware and where bottlenecks actually live Familiarity with AI server form factors: HGX, OAC, OAM, UBB, open rack standards, and the tradeoffs between them Scripting and automation skills (Python, Bash, Go and Linux sysadmin); you build tooling to support your own work and the team's Strong written communication — you can write a rigorous technical specification and a crisp vendor requirements document Knowledge of performance benchmarking ; Previous experience in testing, measuring, and/or simulating hardware performance and an understanding of no-stone-left-unturned experimentation Knowledge of Redfish, IPMI and server remote management protocols, and experience with firmware updates Harness AI tools and automation to fundamentally accelerate the qualification lifecycle, driving exponential efficiency gains and quality standards. Possess the organizational skills and interest to manage cross-functional technical projects, ensuring architectural designs seamlessly align with delivery schedules. Thrive as a deeply self-motivated engineer in ambiguous environments, demonstrating a strong bias for action and the ability to drive initiatives forward without close supervision. Bonus Points Experience with major AI server ODMs/OEMs and their qualification and customization processes Exposure to hyperscaler or cloud infrastructure design — understanding how GPU capacity is provisioned, allocated, and operated at scale Experience with RDMA networking, RoCEv2 congestion control, or InfiniBand fabric management Understanding of AI workload patterns: LLM training vs. inference, model/tensor/pipeline parallelism, and their memory and bandwidth implications Familiarity with open compute hardware programs or OCP specifications Experience of performance optimization based on hardware / software codesign Experience of kernel development, compiler optimization, or driver development. Experience of observability and monitoring tools such as Prometheus and Grafana, as well as the ability to observe trends over time Experience with software development tools and processes such as Git, TeamCity and Jira Experience in a hyperscale cloud infrastructure role also valuable Knowledge of debugging server hardware faults and the ability to engage with our sourcing team and vendors to improve quality Who You Are A self-starter who identifies what needs to be done and executes without waiting to be asked Genuinely curious — you read architecture whitepapers, follow chip announcements, and have opinions on why one memory subsystem beats another Equally comfortable racking servers in a lab and writing a detailed technical requirements document Able to make a defensible technical decision with incomplete information, and communicate the reasoning clearly Compensation Compensation may be adjusted depending on work location. For Lisbon based hires: Estimated annual salary of €54,000-68,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Singapore, Singapore; Singapore (Remote) Workplace: Remote SUMMARY The Senior Developer Success Engineer will be the frontline technical expert for our developer community. You will help users deploy and scale Temporal in cloud-native environments. You will also troubleshoot complex infrastructure issues, optimize performance, and develop automation solutions. This role is ideal for someone who thrives on solving distributed systems challenges and improving the developer experience. What You'll Do - Be a keen learner: - At Temporal, you’ll work with cloud-native, highly scalable infrastructure spanning AWS, GCP, Kubernetes, and microservices. You’ll gain deep expertise in large scale distributed systems, orchestration, reliability, and observability while learning from complex, real-world customer use cases. - Our stack includes Go, Python, Typescript and Java, providing continuous opportunities to hone your programming skills in resilience engineering and performance tuning. - Be a passionate problem solver: - If you enjoy tackling scalability, reliability, and troubleshooting challenges in distributed systems, you’ll thrive in this role. As a Senior Developer Success Engineer, you’ll work directly with developers to troubleshoot complex issues, help them optimize performance and reliability, contribute to improving user experience, and help them be successful with using Temporal. - You'll troubleshoot complex issues across Temporal workflows, SDKs, workers, and infrastructure, using logs, metrics, and tools such as Grafana and Prometheus to diagnose problems, reproduce bugs, and guide customers toward reliable, scalable production deployments. - Once ramped up, we expect you to independently drive technical solutions, whether debugging complex production issues or designing infrastructure best practices. Don't worry—we have seasoned engineers and mentors to support you along the way! - Be a great communicator: - As a Senior Developer Success Engineer you will engage directly with developers, engineering teams, and product teams to understand infrastructure challenges and provide solutions that enhance scalability, performance, and reliability. - Your insights will influence platform improvements, from enhancing tooling to developing self-service infrastructure solutions that simplify troubleshooting. - You’ll serve as a bridge between developers and the Temporal platform, ensuring that reliability, performance, and developer experience remain top priorities as Temporal scales. WHAT YOU'LL BRING - 6+ years of experience as a developer, preferably fluent in one or more of the following languages: Python, Java, Golang, TypeScript. - Experience with deployment and managing medium to large-scale architectures (e.g., Kubernetes or Docker). - Experience with monitoring tools such as Prometheus and Grafana and troubleshooting performance and availability issues. - Minimum of one year experience in an internal or external customer-facing role. - Passion for helping others regardless of who they are or how they act. - Experience working with or as part of remote teams. - Strong written and verbal communication skills. - Seek to understand first, lead with data, and rely on facts. NICE TO HAVE - Previous experience in customer-facing positions such as a professional services consultant, solutions architect, customer engineer, etc. - Experience with security certificate management and implementation. - Ability to understand use cases and translate them into Temporal design decisions and architecture best practices. - Technologies: EKS, GKE, Kubernetes, Prometheus, Grafana, OpenTracing, Terraform/Ansible/CDK. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: New York, Chicago Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. You will provide day-to-day production support for QRT’s platform for accessing internally hosted and external LLMs. Based in the US, you will support users during US business hours and coordinate with colleagues in other regions to ensure effective incident handovers. This is a hands-on support role, focused on incident resolution, user assistance and established operational procedures-not platform architecture, model development or infrastructure engineering. Your future role within QRT: Provide first- and second-line support for QRT’s platform for accessing internally hosted and external LLMs, investigating issues raised by engineering and business users, maintaining support tickets and following issues through to resolution or engineering escalation. Monitor platform health using existing dashboards, logs and alerts; identify availability, latency and error-rate problems and perform approved recovery actions using established runbooks. Troubleshoot gateway and model-provider issues, including authentication failures, rate limits, timeouts, connection resets, streaming failures and regional performance differences. Determine whether incidents originate in a user’s client or configuration, the platform gateway, an internally hosted model or an external LLM provider; collect diagnostic evidence and coordinate escalation to the appropriate team or vendor. Support coding assistants, API clients and developer workspaces connected to QRT’s LLM platform, including Claude Code, Codex CLI, OpenCode, PI and Coder; investigate compatibility issues following client or vendor updates. Help users configure supported integrations, select the appropriate regional endpoint and migrate API access from Open WebUI to the direct gateway. Investigate access and model-availability queries, check user permissions and escalate provisioning or entitlement issues through established support and governance processes. Carry out operational checks for releases and configuration changes, including non-production validation, post-release smoke testing and approved rollback procedures, in coordination with platform engineering. Use existing observability tools to investigate time to first token, time per output token, percentile latency and failure rates; flag recurring issues and monitoring gaps to the platform team. Maintain runbooks, troubleshooting guides and known-issue records; provide clear incident updates and reliable handovers between regional support teams. Maintain small support scripts and diagnostic utilities to reduce repetitive checks and improve evidence collection. Your present skillset: Relevant experience in production support, application support or platform operations, with the ability to investigate routine incidents independently and recognise when specialist escalation is required. Practical Linux troubleshooting skills and familiarity with Windows-based developer environments. Working proficiency in Python, Bash and/or PowerShell for operational checks, log analysis and straightforward support automation. Experience using SQL to investigate application issues and query operational records, ideally in PostgreSQL. Practical experience interpreting metrics, logs, traces and dashboards to distinguish a platform-wide incident from a user-, client-, model- or region-specific issue. Confidence troubleshooting API-driven services, including HTTP errors, authentication, networking, timeouts, retries, rate limiting and streaming connections. Hands-on experience supporting LLM-based platforms or services, with a working understanding of LLM APIs, including prompts, context limits, token usage, model identifiers and streaming responses. Familiarity with public-cloud services, ideally AWS, and the ability to inspect containerised workloads using established tools and procedures. Clear communication with technical and non-technical users, including concise incident updates, realistic expectations and well-documented escalations. Awareness of access controls, sensitive-data handling and safe diagnostic practices, including avoiding exposure of prompts, credentials or confidential content in support records. A methodical approach to troubleshooting, prioritisation and cross-region handovers Nice to have: Experience supporting AWS Bedrock or other managed model APIs. Experience supporting AI coding assistants, API clients or developer workspaces such as Claude Code, Codex CLI, OpenCode, PI or Coder. Familiarity with Grafana, Coralogix or equivalent monitoring and log-analysis tools. Exposure to LLM gateways or proxies such as LiteLLM, or internally hosted inference services such as vLLM. Experience troubleshooting containerised services on ECS or Kubernetes. Familiarity with identity and access provisioning, particularly Okta, SCIM and application-level permissions. Experience supporting multi-region services and working with globally distributed support and engineering teams. Experience coordinating support cases with cloud providers or software vendors during service degradation. Base salary range for this position is $15 0 ,000 to $ 220 ,000 per year. QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

Location: United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker's Platform Engineering team builds and operates the cloud-native platform behind Docker's products. Inside the company, teams across Engineering and the business rely on a growing set of internal applications, and each one is built, deployed, and run a little differently. We're looking for a Senior Engineer to give those applications a common foundation and then build the custom tools the business needs on top of it. You'll create a framework that makes it easy to build and deploy internal tools, including slack bots, web apps, workflows, etc, with authentication, hosting, observability, and alerting in place. You'll use it to build internally-facing tools to support cross-org efforts: roadmapping, headcount management, business reporting, etc. You'll decide when to build, when to buy, and when to integrate an existing product. You'll help shape how internal systems fit together across the company. This is a hands-on role. You'll own projects from scoping through rollout and adoption, working with platform leads, engineering teams, and business teams such as HR, Finance, Marketing, and Customer Support. _______________________________________________________________________ WHAT YOU'LL DO INTERNAL APP FRAMEWORK - Build and maintain a framework that makes it fast to create and deploy internal applications and services, with defaults for authentication, hosting, CI/CD, logging, observability, and alerting - Provide templates, documentation, and examples so teams can ship their own tools without starting from scratch - Set the standards for how internal apps are built, secured, and run, and make the standard path the easiest one - Leverage existing systems and sources of truth to build cross-connects where they don’t exist CUSTOM BUSINESS TOOLING - Work across teams and organizations to understand where tools, processes, or systems are falling short, and turn those gaps into proposals that platform leads can prioritize - Scope and deliver apps and tooling to address identified gaps - Ship early versions quickly, learn from how people use them, and improve them over time - Own the tools you build through rollout, adoption, and ongoing support BUILD, BUY, OR INTEGRATE - Evaluate whether a need is best met by building, buying, or integrating an existing product, and recommend one with the tradeoffs - Connect tools to the systems the company already uses, such as identity, data sources, and Slack, so they work together - Help shape the architecture of internal systems, so they stay consistent and maintainable as the company grows RELIABILITY AND AI - Build operational basics into the framework, so every internal app gets incident management, SLO, and alerting defaults automatically - Use AI tooling to speed up delivery and to automate workflows where it adds value _______________________________________________________________________ WHAT WE'RE LOOKING FOR REQUIRED - 6+ years of software engineering, including building and shipping internal tools or full-stack web applications - Strong full-stack skills: a backend language such as Go, Python, or TypeScript, and a modern frontend framework - Experience designing reusable frameworks, templates, or platforms that other engineers build on - Experience deploying to the cloud (AWS, GCP, or Azure) with containers and CI/CD, and working knowledge of Kubernetes - Sound judgment on build, buy, and integrate decisions, and experience integrating third-party SaaS products and APIs - Experience working directly with non-engineering stakeholders to turn a need into a working tool - Experience with AI-assisted development or LLM-powered automation - Clear written communication and comfort working asynchronously on a remote team - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience - Take part in the paid on-call rotation; respond to incidents, debug production issues, and drive systemic improvements in reliability. NICE TO HAVE - Cross-functional experience in program management - Experience with internal tool or developer portal platforms - Web design experience - Familiarity with observability and incident tooling (incident.io http://incident.io, Grafana, Prometheus, or similar) - Experience at a developer tooling or SaaS company at scale, and familiarity with compliance and security standards Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.   United States: $160,900 – $260,700 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Задачи: системное администрирование и поддержка IT-инфраструктуры компании. Требования: опыт работы от 3 до 6 лет; знание Linux, Windows Server, Active Directory, MikroTik, VMware, Hyper-V, Zabbix, Grafana; умение работать с Bash и PowerShell. Условия: работа в офисе в городе Ташкент.

Location: Worldwide Launch Your Next Successful Chapter with Veta Virtual! 🚀 💸 Competitive Pay | 🌍 100% Remote | 💻 Golang, Java, React, TypeScript | 🪙 Fintech & Cryptocurrency Industry Veta Virtual is hiring a Full Stack Software Engineer for one of our high growth clients in the fintech and cryptocurrency industry. This is not a single layer coding role. This is a hands on engineering position for someone who can build both the backend services and the frontend experiences behind secure, high volume financial transactions, and who takes pride in owning a feature from idea to production. 🔑 Your Role: Our client is a leading digital currency platform operating at the intersection of crypto and traditional finance, enabling customers to buy, sell, and manage cryptocurrency through kiosks, a consumer portal, and enterprise products. Their engineering teams build secure, scalable systems that handle high-volume financial transactions and support heavily regulated, compliance-driven workflows. Your day-to-day responsibilities will include: Designing, building, and maintaining full-stack features across frontend applications and backend services. Developing and maintaining backend APIs that support onboarding, authentication, transaction lifecycles, and operational workflows. Building and enhancing front-end experiences in customer-facing and internal web applications. Integrating systems with third-party services and external providers. Implementing secure authentication and authorization using OAuth 2.0 flows. Working within a microservices environment to deliver scalable backend capabilities. Ensuring applications meet high standards for security, performance, reliability, and observability, including monitoring. Participating in code reviews, technical design discussions, and architecture decisions. Writing and maintaining clear technical documentation. ✅ What You'll Need: Core Technical Requirements 3+ years of experience as a software engineer working across frontend and backend systems. Strong experience building backend services in Golang and/or Java. Proficiency with Node.js / TypeScript v5. Experience building frontend applications using Next.js, React, and TypeScript. Solid understanding of RESTful API design. Strong SQL skills and experience with PostgreSQL. Experience working in an AWS environment. Familiarity with microservices and distributed backend systems. Tech Stack Proficiency Backend: Golang, Java Frontend: Next.js, React, TypeScript (v5), Node.js APIs: RESTful APIs Databases: SQL, PostgreSQL Infrastructure & Cloud: AWS (including S3), containerized services, Kubernetes, Helm, Terraform Authentication & Identity: OAuth 2.0 flows Monitoring/Observability: Grafana (or similar platforms) Version Control & CI/CD: Git-based workflows with CI/CD pipelines Developer Workflow: VS Code / Cursor debugging Nice to Have Understanding of multi-threading and goroutines. Webhooks and/or WebSocket experience. Architecture and system design experience. Comfort using AI-assisted development tools. Experience in fintech, crypto, payments, or other regulated industries. Experience building internal dashboards or operational tooling. Familiarity with authentication, authorization, and secure system design. 💼 What We Offer: 💸 Competitive salary in USD, based on experience. 🌴 15 paid vacation days per year, plus all U.S. national holidays. 💻 100% remote, work from anywhere in LATAM or Europe with a professional home setup. 📈 A fast paced, high growth environment at the forefront of the global fintech and cryptocurrency industry, where your code directly powers high volume financial transactions 🤝 A collaborative, high trust culture through Veta Virtual and our client, where your ownership and engineering judgment are valued from day one. Ready to Apply? If you are ready to build secure, scalable products across the full stack and own your work from design to production, apply now and launch your next chapter with Veta Virtual. Once you apply, you will be invited to complete a short two minute video question as part of our screening process. It is your first opportunity to show us your thinking and what makes you the right person for this role. We can’t wait to meet you!

Задачи: — Проектирование масштабируемых и отказоустойчивых систем для сбора, обработки и анализа событий с конечных точек. — Архитектура высоконагруженного бэкенда: проектирование сервисов на Java / Spring Boot, потоковой обработки данных через Kafka и Flink, хранилищ на PostgreSQL и ClickHouse. — Проектирование взаимодействия серверной части и агентского ПО на C++ (Windows / Linux): протоколы, схемы обновления, обработка ошибок, управление конфигурацией на стороне агентов. — Проектирование управления доступом на базе Keycloak (IAM, аудит, интеграции). — Оценка и выбор архитектурных решений. — Формирование технических решений и ТЗ для команд разработки (Java-команда, команды агентов). — Участие в код-ревью ключевых решений, менторинг инженеров по архитектурным вопросам. — Работа с нагрузочным тестированием, сайзинг, анализ узких мест. Требования: — Опыт проектирования масштабируемых, отказоустойчивых распределённых систем от 3 лет. — Глубокое понимание Java и Spring Boot, опыт проектирования микросервисной и модульно-монолитной архитектуры. — Практический опыт работы с Kafka (streaming, топологии, consumer groups, exactly-once / at-least-once семантики). — Опыт проектирования OLAP-хранилищ на ClickHouse для больших объёмов событийных данных. — Опыт работы с PostgreSQL: моделирование данных, индексация, репликация, масштабирование. — Понимание Flink: streaming-обработка, stateful processing, windowing, backpressure. — Опыт работы с C++ на уровне, достаточном для проектирования взаимодействия с нативными агентами (Windows / Linux): процессы, потоки, IPC, архитектурные подходы к написанию высокопроизводительного кода. — Понимание принципов IAM / OAuth2 / OIDC, опыт работы с Keycloak или аналогами. — Опыт проектирования систем с высокой нагрузкой (десятки-сотни тыс. событий / сек). Будет большим плюсом: — Опыт в области кибербезопасности, SOC, EDR / SIEM / XDR-решений. — Знание Prometheus / Grafana / ELK для мониторинга и логирования. — Опыт проектирования agent–server коммуникации (gRPC, MQTT, AMQP). — Понимание Windows-платформы: ETW, WMI, hooks, kernel / user mode, драйверы. — Понимание Linux-платформы: eBPF, inotify / fanotify, kprobe / uprobe. — Опыт работы с Terraform / Ansible для инфраструктурного кода. — Опыт сертификации СЗИ в ФСТЭК / ФСБ / МО.