Location: Guildford
Workplace: onsite
With multiple awards to our name, Larian Studios has proven that we’re dedicated to delivering high-quality role-playing games As we move on to new projects, the studio that brought you Baldur’s Gate 3 & Divinity: Original Sin 2 is looking for a DevOps Build Engineer to join the team and help us in crafting the high calibre games our fans have come to expect.
Responsibilities
Design, develop, and maintain robust build pipelines for each platform
Monitor and continuously improve our automated build and CI systems
Partner with IT to scale and maintain build server infrastructure
Create and keep documentation of the build/release process up to date
Support the release manager during patch releases
Be a go-to resource for teammates when they need a hand
Requirements
2+ years of industry experience
Solid hands-on knowledge of Jenkins and CI/CD pipelines
Proficiency in a scripting language such as Ruby, Groovy, or Python
Experience automating workflows via shell/bash/cmd on Linux and/or Windows
Familiarity with version control systems like Git, Perforce, or SVN
Clear communication skills, written and spoken, in English
Comfortable collaborating with others and taking ownership of your work
Enthusiasm for experimenting, iterating, and refining features
Strong software design and problem-solving abilities
Nice To Haves
Experience with Ansible or similar configuration management tools
Familiarity automating C#/C++ builds (e.g., MSBuild, CMake)
Exposure to full-stack development
Background working in the games industry
What We Offer
An international team of over 600 employees spread across 7 studios around the world, each of which have their own unique qualities, and maintain a small-studio feel
An open, collaborative environment where ideas are welcome and encouraged
A managerial team consisting of highly experienced game developers at the top of their fields
Sharing hobbies and passions with like-minded colleagues
Inclusive environment with many activities organized by the studios or the employees
Commitment to making the best game possible for the fans, including listening to community feedback
Задачи:
— Разработка и сопровождение CI/CD-процессов в Jenkins и GitLab CI/CD.
— Администрирование и развитие GitLab, GitLab Runner, GitLab Pages, Jenkins, Nexus и HashiCorp Vault.
— Контейнеризация и сопровождение приложений с использованием Docker и Docker Compose.
— Автоматизация развертывания и настройки инфраструктуры с помощью Terraform и Ansible.
— Администрирование Linux-серверов, виртуальной инфраструктуры VMware, платформы наблюдаемости и S3-совместимых хранилищ.
— Сопровождение сборки, развертывания и обновления backend- и frontend-приложений.
— Диагностика инфраструктурных и прикладных проблем, участие в резервном копировании и восстановлении данных.
— Взаимодействие с разработчиками, участие в разборе инцидентов и ведение технической документации.
Требования:
— Опыт работы DevOps-инженером от трёх лет и уверенное администрирование Linux.
— Глубокое знание Docker и Docker Compose: образы, сети, volumes и диагностика контейнеров.
— Практический опыт разработки и сопровождения CI/CD-процессов в Jenkins; опыт работы с GitLab CI/CD будет преимуществом.
— Опыт автоматизации инфраструктуры с использованием Terraform и Ansible.
— Понимание сетевых технологий, протоколов HTTP/HTTPS и TLS, принципов работы reverse proxy и балансировки нагрузки.
— Опыт эксплуатации инфраструктурных сервисов, систем мониторинга и централизованного хранения логов.
— Базовые навыки эксплуатации PostgreSQL, Redis или Elasticsearch/OpenSearch, включая резервное копирование и восстановление данных.
— Навыки автоматизации на Bash и Python, понимание принципов инфраструктурной безопасности.
— Умение взаимодействовать с разработчиками, разбираться в требованиях приложений и документировать технические решения.
Условия:
— Оформление в соответствии с ТК РФ, наличие IT аккредитации Минцифры;
— Конкурентоспособное вознаграждение, годовые бонусы;
— ДМС (со стоматологией) и страхование жизни;
— Индивидуально обсуждаем возможность удаленного формата работы с командировками в Москву 1 раз в месяц;
— Возможности для карьерного роста и профессионального развития;
— Уникальная корпоративная культура, которая поощряет индивидуальные достижения и ценит командную работу;
— Работа в команде профессионалов одного из крупнейших производителей электротехнического оборудования.
Что нужно делать:
— Осуществлять деплой, обновление и настройку кластеров k8s;
— Администрировать базовые инфраструктурные сервисы: Gitlab, Harbor, Nexus, Trivy, Ansible, Keycloak, s3 minio;
— Заниматься поддержкой системы непрерывной интеграции Gitlab CI;
— Администрировать внутреннюю серверную инфраструктуру компании;
— Осуществлять настройку мониторинга, логирования и бэкапов;
— Курировать написание ролей Ansible;
— Осуществлять базовое администрирование СУБД MySQL, pgSQL, создание кластеров, создание баз, нарезание прав;
— Администрировать балансировщики нагрузки на базе HAproxy, NGINX.
Мы ждём, что ты имеешь:
— Опыт администрирования Linux-систем;
— Опыт администрирования S3 хранилищ;
— Знание принципов IaC, работа с инфраструктурой, как с кодом;
— Опыт работы с Nexus, Harbor на уровне администратора;
— Опыт работы с Gitlab (on-premises) на уровне администратора;
— Опыт подготовки CI/CD обвязки\pipeline;
— Опыт администрирования Kubernetes(on-premises) от 3-х лет;
— Опыт работы с системами автоматизации на базе Ansible, Terraform;
— Опыт работы с балансировщиками нагрузки: HAproxy, nginx.
Будет плюсом:
— Наличие опыта работы с GitOps инструментами;
— Опыт внедрения систем мониторинга серверов и контейнеров;
— Опыт работы с Helm;
— Понимание GitFlow.
УдалённоГеография найма не уточнена
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Задачи:
— совершенствование существующей инфраструктуры для повышения отказоустойчивости, безопасности и масштабируемости
— усовершенствование системы мониторинга и управления инцидентами с внедрением практик SRE, включая глубокую настройку сетевого мониторинга
— самостоятельное управление облачными и локальными ресурсами с использованием контейнеризации и оркестрации (Docker, Kubernetes)
— автоматизация и поддержка процессов CI/CD (GitLab, TeamCity)
— написание скриптов автоматизации на Bash, применение n8n
— администрирование, установка и настройка Linux (CentOS, Ubuntu)
— создание и поддержка документации по DevOps-процессам и инфраструктуре, включая сетевую схему и политики
— обеспечение сетевой безопасности и сегментации (фаерволы, VPN, анализ сетевой активности)
— участие в экстренном восстановлении сервисов при сбоях (24/7 до "оживления сервиса")
Требования:
Обязательные:
— минимум 5 лет опыта на позиции DevOps Engineer
— навыки администрирования, установки и настройки Linux
— опыт написания скриптов на Bash
— опыт работы с CI/CD инструментами (GitLab CI, TeamCity, Jenkins или аналоги)
— опыт управления облачными и локальными ресурсами с использованием контейнеризации и оркестрации (Docker, Kubernetes не в облаке)
— опыт работы с Nginx
— знания систем автоматизации конфигурации (Terraform, Ansible) и мониторинга (Prometheus, Grafana, OpenSearch)
— опыт работы с S3 Minio, VMware
— понимание основ работы с базами данных (PostgreSQL + Patroni)
— понимание сетевых технологий (сегментация, фаерволы, VPN, маршрутизация, анализ трафика)
— опыт построения геораспределенных и отказоустойчивых кластеров баз данных и Kubernetes (не в облаке)
— умение выявлять проблемы при подключении к VPN и работать с подключённым VPN
— стрессоустойчивость и способность быстро анализировать сложные проблемы в условиях ограниченного времени
Желательные:
— опыт работы в платежных системах с балансом пользователя
— написание скриптов shell, bash, powershell, perl
— опыт работы как сетевой инженер, SRE, инженер внедрения ПАК
— знание Ethernet, TCP/IP, VLAN, модели OSI
— понимание виртуализации QEMU
— сертификаты по информационной безопасности или облачным технологиям
— опыт наставничества или управленческий опыт
Условия:
— работа в офисе в Москве (м. Добрынинская / Серпуховская), удалённой работы нет
— возможен переезд в Белград, Сербия
— график 5/2, 8 часов, начало с 9 до 11, полный день в офисе
— участие в оперативных дежурствах при авариях (компенсируется отгулами), реагирование только на критичные инциденты (1-4 раза в месяц)
— ежемесячный доход выше рынка, обсуждается по итогам интервью
— оплата больничного 14 дней и отпуска 28 дней в размере 100%
— бесплатная парковка у офиса
— релокационный пакет в Москву для специалистов из других городов
— ежегодный пересмотр оплаты на основе рынка
— рабочий ноутбук
— договор на ИП (оплата на р/с)
О проекте
Japanstat создаёт экосистему, которая соединяет весь рынок японских авто: от аукционов в Японии до дилеров и покупателей в России, ОАЭ, Австралии, Африке, Монголии, на Кипре и ещё в десятках стран.
Это сложный B2B-продукт с высокой нагрузкой, данными в реальном времени и десятками интеграций. Инфраструктура здесь напрямую влияет на бизнес клиентов по всему миру.
Кого мы ищем
Мы ищем DevOps-инженера, который уверенно работает с Linux, Kubernetes и CI/CD и хочет отвечать за стабильность высоконагруженного продукта. Для нас важно, чтобы вы были самостоятельным, мыслили системно и легко находили общий язык с разработчиками и QA.
Что предстоит делать
— Строить и развивать CI/CD-пайплайны
— Управлять облачной и серверной инфраструктурой через Infrastructure as Code
— Развивать среду на Docker/Kubernetes: развертывание и масштабирование сервисов
— Настраивать мониторинг, логирование и алертинг, участвовать в разборе инцидентов
— Автоматизировать процессы и делать релизы стабильными
— Оперативно реагировать на инциденты на проде, в том числе вне рабочего времени
Что для нас важно
— Уверенный Linux, сети, понимание веб-сервисов и микросервисной архитектуры
— Практический опыт с Docker и Kubernetes
— CI/CD: GitLab CI, Jenkins или аналоги
— IaC: Terraform, Ansible или аналоги
— Мониторинг и логирование: Prometheus, Grafana и др.
— Git, Bash, базовые навыки Python/Go/Node.js
— Понимание ИБ, управления секретами и доступами
Будет плюсом
— Опыт с high-load / high-availability системами
— Helm, Argo CD, GitOps
— PostgreSQL, Redis, Kafka/RabbitMQ
— Балансировка нагрузки и CDN
— Практики SRE: SLI/SLO/SLA, incident management, postmortem
— FinOps: оптимизация стоимости и производительности облака
Что мы даём
— Полная удаленка из любой точки мира
— Официальное трудоустройство
— Оклад 240 000 ₽ на руки, возможны премии
— Подарки и бонусы от компании на праздники
— График 5/2, 9:00–18:00 по Москве
— Компенсация за реагирование на инциденты вне рабочего времени
— Без регулярных переработок: вне графика — только экстренные инциденты
Обязанности и задачи:
— Развёртывание и эксплуатация Kubernetes-кластеров в production: самостоятельное поднятие кластеров с нуля через Kubespray, понимание архитектуры и взаимодействия компонентов.
— Работа в закрытых контурах: подготовка всех необходимых пакетов, Docker-образов и зависимостей для развёртывания.
— Установка и настройка сервисов в Kubernetes через Helm, доработка и отладка Helm-чартов «на лету» в процессе внедрения у заказчика.
— Диагностика и устранение проблем Kubernetes, Helm, Linux, Container Registry, Ansible, Terraform.
— Полное ведение внедрения: от подготовки инфраструктуры до запуска и дальнейшей эксплуатации продукта у заказчика.
— Развёртывание и поддержка сервисов в Kubernetes: Kafka, ClickHouse, PostgreSQL, Qdrant, Traefik, OpenSearch, NATS, NACK.
— Работа с облачными платформами VK Cloud и OpenStack.
Требования:
— Уровень: Middle+
— Опыт работы: 4-5 лет
— Готовность к очному выезду к заказчикам в Москве для внедрения продукта в закрытых контурах (60% удаленно, 40% onsite).
— Практический опыт развертывания и эксплуатации Kubernetes в production.
— Уверенное владение Kubespray — самостоятельное развертывание кластера с нуля, понимание работы архитектурных компонентов и их взаимодействия.
— Опыт работы в закрытых (air-gapped) контурах без доступа к интернету.
— Умение самостоятельно подготовить все необходимые пакеты, образы и зависимости для offline-развертывания.
— Опыт установки и настройки сервисов в Kubernetes через Helm.
— Умение дебажить и дорабатывать Helm-чарты «на лету» в процессе внедрения.
— Уверенное знание Linux, Ansible, Terraform, Docker/Container Registry.
— Навыки диагностики и устранения проблем Kubernetes, Helm, Linux.
— Опыт внедрения решений у заказчиков.
— Способность самостоятельно доводить внедрение от подготовки инфраструктуры до запуска и эксплуатации продукта.
— Будет плюсом опыт работы с VK Cloud и OpenStack.
— Опыт работы с различными БД и сервисами в Kubernetes: Kafka, ClickHouse, PostgreSQL, Qdrant, Traefik, OpenSearch, NATS, NACK.
— Опыт работы с KubeRay Operator, NVIDIA Device Plugin.
— Умения настраивать ноды с GPU (nvidia-container-toolkit).
Условия:
— Карьерная и профессиональная возможность в стабильной, аккредитованной ИТ-компании.
— Расширенный полис ДМС со стоматологией, корпоративный психолог.
— Необходимая техника для комфортной работы.
— Обучение, сертификацию, Usetech English Club – онлайн изучение английского.
— Доступ к Корпоративной библиотеке и к Корпоративному университету.
— Внутрикорпоративные профильные комьюнити.
— Забота о детях сотрудников: корпоративные скидки, подарки, детские дни.
— Геймифицированную программу лояльности с корпоративным магазином.
— Корпоративную жизнь с балансом работы и отдыха.
ООО "Почтовые финансы" – Центр единого сервиса для ДЗО холдинга "Почта России". Ключевые области работы: логистика, электронная коммерция, IT, банки, финтех. Компания создана в 2021 году для ИТ-поддержки и сопровождения деятельности АО "Почта России". Более 3000 человек в 82 регионах присутствия.
Задачи:
— Осуществлять техническую поддержку и консультирование пользователей по вопросам эксплуатации корпоративной облачной платформы.
— Проводить диагностику и устранение неисправностей.
— Разрабатывать пошаговые руководства по решению типовых проблем.
— Разъяснять функционал систем и сервисов.
— Вести базу обращений пользователей (Service Desk): регистрировать заявки, отслеживать статусы выполнения, закрывать заявки после решения проблемы, формировать отчёты по статистике обращений.
— Выполнять установку, настройку и подключение программных компонентов корпоративной облачной платформы.
— Проводить профилактические работы и обновление ПО.
Требования:
— Высшее техническое образование.
— Опыт администрирования гипервизоров на базе KVM и/или OpenStack не менее 3 лет ОБЯЗАТЕЛЕН.
— Понимание принципов работы различных платформ виртуализации.
— Знание OpenStack (Nova, Neutron, Cinder, Glance, Keystone).
— Опыт работы с Ceph или подобными SDS, а также аппаратными СХД в связке с cinder.
— Опыт работы с MariaDB Galera Cluster (синхронная репликация, split-brain, кворум) либо аналогичными кластеризованными решениями.
— Опыт работы с HAProxy + Keepalived (L4/L7 балансировка, SSL termination, VIP).
— Опыт работы с Apache2 (WSGI для OpenStack API, тюнинг воркеров).
— Опыт работы с RabbitMQ (очереди сообщений control plane).
— Знание Linux Networking (iproute2, iptables/nftables, namespaces, OVS/OVN, VLAN/VXLAN).
— Навыки автоматизации: Ansible, Terraform, Python/Bash, puppet.
— Опыт мониторинга: Prometheus, Grafana (или VictoriaMetrics).
— Умение работать в команде, активная жизненная позиция, ответственность.
Условия:
— Официальное трудоустройство согласно Трудовому законодательству.
— Стабильный белый доход в государственной компании федерального уровня.
— ДМС со стоматологией (подключение пакета после успешного прохождения испытательного срока).
— Заработная плата: оклад 256000 руб. + годовая премия по итогу выполнения ключевых показателей эффективности.
— График работы: 5/2 с 9.00 до 18.00 (суббота, воскресенье - выходные).
— Формат работы обсуждается: офис/гибрид/удалёнка.
— Отличные условия труда и коллектив.
Для заказчика Первый Бит ищем специалиста для внедрения методологии DevOps и развития системы, используемой сотнями клиентов по всему миру. Проект высоконагруженный, работает на сотнях серверов, включает монолит и микросервисную архитектуру.
Задачи:
– сопровождение и развитие процесса CI/CD
– настройка мониторинга сервисов
– помощь разработчикам в организации тестовых и рабочих сред
– стандартизация решений и подходов
– участие в проработке архитектурных решений
– взаимодействие с командой разработчиков и ops
Требования:
– опыт построения CI/CD процессов
– опыт работы с дата-центрами
– опыт работы с Gitlab CI, Vault, Docker, Ansible
– опыт работы и сопровождения nginx, балансировщиков
– опыт работы с брокерами сообщений RabbitMq, Kafka
– опыт работы с S3 (minio)
– опыт администрирования Linux
– опыт настройки мониторинга сервисов (Zabbix / Prometheus+Grafana)
– понимание масштабирования и отказоустойчивой инфраструктуры
– понимание работы сетей, широкий технический кругозор
Задачи:
— Развертывание и эксплуатация Bitcoin Core nodes.
— Построение отказоустойчивой инфраструктуры для backend-сервисов.
— Мониторинг состояния Bitcoin-нод и внутренних сервисов.
— Настройка metrics, logging, alerting и dashboards.
— Secrets management и безопасная работа с credentials.
— Backup и disaster recovery.
— Автоматизация deployment и infrastructure provisioning.
— CI/CD.
— Контроль доступов и сегментация инфраструктуры.
— Анализ и устранение production-инцидентов.
— Capacity planning и оптимизация ресурсов.
— Совместная работа с security engineer над hardening инфраструктуры.
Требования:
— Опыт DevOps/SRE в production-системах.
— Linux на уверенном уровне.
— Docker и контейнерная инфраструктура.
— Опыт с Kubernetes или аналогичными orchestration-платформами.
— Infrastructure as Code: Terraform, Ansible или аналоги.
— Опыт построения monitoring/alerting систем.
— Понимание сетей, firewall, TLS и управления доступом.
— Практический опыт secrets management.
— Опыт построения backup/recovery процессов.
— Умение расследовать production-инциденты.
Будет плюсом:
— Опыт эксплуатации Bitcoin Core nodes.
— Понимание Bitcoin P2P/networking.
— Опыт эксплуатации blockchain infrastructure.
— Опыт с security-sensitive или financial infrastructure.
— Опыт защиты публичных сервисов от DDoS/DoS.
— Опыт построения privacy-oriented инфраструктуры.
Что важно в этой роли:
Для проекта критична не только доступность сервисов, но и минимизация инфраструктурных рисков и утечек метаданных. Поэтому нам нужен инженер, который рассматривает security и privacy как часть инфраструктурной архитектуры, а не как отдельный этап после запуска.
Задачи:
— Проектирование, внедрение и поддержка DevOps-инструментов для дата-пайплайнов и платформ.
— Поддержка и автоматизация ETL-воркфлоу (например, Spark, Airflow).
— Создание и управление мониторингом и наблюдаемостью качества данных (DBT), дата-пайплайнов и систем хранения.
— Внедрение и поддержка инфраструктуры хранения данных на AWS (S3, EC2, сеть).
— Интеграция и поддержка Project Nessie как транзакционного каталога для Data Lakes с семантикой, похожей на Git.
— Тесное взаимодействие с Data Engineers для обеспечения плавного деплоя, версионирования и масштабирования дата-задач и пайплайнов.
— Автоматизация деплоя и CI/CD процессов с использованием GitLab CI/CD.
— Обеспечение лучших практик безопасности при работе с чувствительными данными.
— Написание автоматизации инфраструктуры на Python, Bash, Ansible.
— Документирование систем, пайплайнов и DevOps-процессов.
Требования:
— Опыт 5+ лет в DevOps / IT Ops / DataOps с практическим опытом работы с инфраструктурой, связанной с данными.
— Глубокие знания Linux (сеть, настройка ядра, оптимизация производительности).
— Практический опыт работы с Airflow, ClickHouse, DBT, Spark и Project Nessie.
— Солидные знания AWS (S3, EC2, IAM, сеть).
— Владение скриптингом и автоматизацией (Python, Bash, Ansible).
— Опыт работы с CI/CD пайплайнами (GitLab).
— Опыт с мониторинговыми стеками (Prometheus, Grafana, ELK).
— Знакомство с контейнеризацией и оркестрацией (Docker, Kubernetes).
— Понимание концепций управления данными.
— Сильные коммуникативные навыки и проактивный подход.
Желательно:
— Опыт работы с потоковой обработкой данных в реальном времени.
— Знание инфраструктуры как кода (Terraform).
— Знакомство с безопасностью в дата-инжиниринге (IAM, шифрование, контроль доступа).
— Опыт работы с высокопроизводительными системами или в торговой среде.
Location: Bangalore, India
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
As a Staff Site Reliability Engineer (SRE) at GitLab, you’ll help keep all user-facing services and production systems reliable, scalable, and efficient. Our SREs combine a pragmatic operations mindset with strong software engineering practices to drive automation, reduce toil, and improve resilience across our platform.
In the Environment Automation specialization, your focus is on operating and automating hundreds of GitLab environments—from initial provisioning to day-to-day maintenance tasks.
Unlike other SRE roles, this position centers on automating the lifecycle of many tenant environments, ensuring they remain secure, consistent, and reliable at scale.
Some examples of the projects you could work on:
Designing infrastructure automation that provisions and operates GitLab environments using Terraform, Ansible, and Kubernetes
Creating and maintaining deployment packages for GitLab, such as Helm Charts and omnibus-gitlab
Building and operating Dedicated GitLab instances integrated with cloud-native services (e.g., GCP, AWS)
Developing tools to orchestrate infrastructure-as-code workflows across multiple tenants
Deploying and managing microservices on Kubernetes clusters at scale
Enhancing GitLab’s observability stack (e.g., Prometheus, ELK) to support proactive monitoring and incident response
Integrating with and operating infrastructure in cloud provider ecosystems (e.g., IAM, networking, storage)
Championing and implementing cloud security best practices across automated infrastructure
What You’ll Do
Build & Scale Multi-Tenant Infrastructure:
Design and implement automation that provisions and manages hundreds of isolated GitLab environments using Terraform, Ansible, and Kubernetes. Manage complex state strategies and workspace configurations to support scale and maintainability.
Debug & Resolve Production Issues:
Troubleshoot issues across Kubernetes clusters, cloud services, and GitLab apps—identifying root causes of failed deployments, crash loops, and scheduling conflicts to ensure service continuity.
Automate Operations at Scale:
Replace manual workflows with infrastructure-as-code solutions, including automated version upgrades, configuration rollouts, and provisioning pipelines that operate reliably across all tenants.
Monitor & Predict Capacity:
Build observability systems that detect bottlenecks, predict usage trends, and optimize resource consumption using tools like Prometheus, ELK, and Grafana.
Respond & Lead During Incidents:
Lead incident response and postmortem efforts, applying technical depth to resolve issues and establish operational standards that reduce future risk.
Architect & Collaborate:
Influence architectural decisions around automation, scalability, and operational excellence. Partner with engineering teams to improve automation, platform resilience, and production-readiness.
On Call Support:
Take part in on-call or operational support where your team’s ownership model requires it.
What You’ll Bring
Production-Scale Experience:
Proven ability to operate and troubleshoot production workloads across multiple tenants or environments. Deep understanding of how distributed systems fail at scale and how to build in resilience.
Terraform & IaC Mastery:
Strong hands-on experience with Terraform, including workspace strategies, state management, and automation patterns that scale. Comfortable solving state isolation issues and building reliable, reusable infrastructure code. Experience with Ansible and templating tools like Jsonnet is a plus.
Kubernetes in Production:
Skilled at diagnosing deployment failures, interpreting pod logs, and debugging scheduling issues and rollback scenarios in live environments. Understands how pods, ReplicaSets, and controllers interact in production.
Programming & Code Analysis:
Ability to read and debug code in Go and/or Ruby. Familiar with identifying performance issues, scalability concerns, and contributing to infrastructure tooling through thoughtful code analysis.
Large Scale Operations Background:
Experience supporting infrastructure for many customers or environments simultaneously. Comfortable managing isolation, scaling, monitoring, and incident response across diverse workloads.
Architecture & Incident Response:
Able to reason through complex systems and operational challenges. Brings on-call experience and can lead technical discussions and incident resolution efforts under pressure.
Customer-Focused Collaboration:
Proven ability to work across teams and with internal or external customers to solve technical problems while maintaining service commitments and clear communication.
GitLab Platform Proficiency:
Comfortable using GitLab as a daily tool for infrastructure automation, collaboration, and operational workflows.
About the team
GitLab’s Dedicated team, where the SRE Environment Automation role sits, is on a mission to deliver a fully managed, single-tenant GitLab experience through the GitLab Dedicated platform. Our goal is to eliminate manual operations across the entire lifecycle of customer environments, including provisioning, upgrades, security, and monitoring, so customers can focus on unlocking the full potential of The One DevOps Platform without managing the underlying infrastructure. We build scalable, automated systems that ensure each GitLab Dedicated instance is secure, consistent, and production-ready—whether we're managing 10 environments or hundreds.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Задачи:
— проектирование, масштабирование и автоматизация сред (Prod/Stage/Test) через IaC (Terraform, Ansible)
— развитие и поддержка кластеров Kubernetes и Docker
— развитие пайплайнов в GitLab CI/CD для ускорения доставки кода
— развитие мониторинга, логов и алертинга (Grafana, Loki, Sentry)
— расследование production-сбоев, разбор причин, повышение отказоустойчивости
— внедрение DevOps-стандартов, инфраструктурное ревью, помощь разработчикам
Требования:
— опыт от 4 лет в DevOps/SRE, опыт в качестве Team lead
— уверенный Linux, Docker, Kubernetes
— практический опыт с GitLab CI, Terraform и Ansible
— опыт работы со связкой Grafana, Loki, Sentry
— умение расследовать инциденты и выстраивать отказоустойчивую архитектуру
Будет плюсом:
— опыт в Highload / Fintech проектах
— знание практик SRE (SLI/SLO, error budget)
— знание Python, Go или Bash
Условия:
— официальное оформление по ТК РФ, полностью «белая» зарплата
— IT-аккредитация (право на IT-ипотеку и отсрочку)
— ДМС после испытательного срока
— гибридный формат работы (3 дня в офисе, 2 — удалённо)
— возможность собрать команду под себя, влиять на технические решения и развитие инфраструктуры
Location: Paris; San Francisco
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
Mistral AI is building a new Compute Support team to ensure the reliability, performance, and scalability of our GPU clusters in a Kubernetes environment. As one of the founding members of this team, you will play a pivotal role in shaping its processes, standards, and culture.
In this hybrid L1/L2 support role, you will be the first point of contact for customers and internal teams, providing technical guidance, troubleshooting, and issue resolution for compute-related inquiries. You’ll also serve as the escalation point for complex issues, leveraging your deep systems knowledge, Kubernetes expertise, and operational debugging skills to ensure our AI workloads run smoothly at scale.
This is a support-focused role that blends system administration, customer-facing communication, and compute infrastructure expertise. While coding is not the primary focus, familiarity with Go for debugging and automation is a plus.
KEY RESPONSIBILITIES
FIRST CUSTOMER’S POINT OF CONTACT
- Act as the first interlocutor for customers and internal teams, providing timely and effective responses to compute-related inquiries.
- Triage and prioritize incoming requests, ensuring SLAs are met for acknowledgment, first response, and resolution.
- Gather and analyze initial issue details (e.g., logs, error messages, system metrics) to diagnose problems efficiently.
- Provide clear, actionable guidance to customers and internal users, including temporary workarounds where applicable.
TECHNICAL SUPPORT
- Serve as the L2 escalation point for Linux, Kubernetes, and compute infrastructure issues, providing deep technical troubleshooting for:
- GPU/TPU workloads (e.g., CUDA errors, memory leaks, job failures).
- Kubernetes clusters (e.g., pod crashes, node failures, networking misconfigurations).
- Bare metal and cloud environments (e.g., AWS EC2, GCP VMs, HPC clusters).
- Diagnose and resolve performance bottlenecks, hardware failures, and resource contention in distributed systems.
- Analyze system metrics, logs, and traces (e.g., dmesg, journalctl, nvidia-smi, Prometheus, Grafana) to identify root causes of issues.
- Participate in on-call rotations to provide 24/7 support for critical compute systems
- Nice to have: Optimize system configurations (e.g., kernel parameters, filesystem tuning, network settings) for high-performance computing (HPC) and AI workloads.
KUBERNETES & CONTAINERIZATION
- Debug Kubernetes clusters with a focus on:
- Pod and node issues (e.g., CrashLoopBackOff, OOMKilled, ImagePullBackOff).
- Networking and storage (e.g., CNI plugins, PersistentVolumes, StorageClasses).
- Resource management (e.g., Requests/Limits, QOS classes, node affinity).
- Troubleshoot container runtime issues (Docker, containerd) such as image pull failures, OCI compliance, or runtime errors.
- Collaborate with SRE teams to understand and improve existing IaC (Terraform, Ansible) and Go-based tooling.
DOCUMENTATION & PROCESS IMPROVEMENT
- Create and maintain runbooks, playbooks, and internal documentation for common compute issues (e.g., GPU debugging, Kubernetes troubleshooting).
- Contribute to post-mortems with actionable follow-ups to prevent recurring incidents.
- Train internal teams on best practices for compute infrastructure and debugging.
- Help define and refine support processes as a founding member of the new Compute Support team.
What We’re Looking For
REQUIRED SKILLS & EXPERIENCE
- 5+ years of experience in system administration, technical support, or infrastructure operations, with a strong focus on compute-heavy environments (bare metal, cloud, HPC, or virtualization).
- Deep Linux/Unix expertise:
- Debugging kernel-level issues (e.g., OOM killer, I/O bottlenecks, CPU throttling).
- Performance tuning (e.g., sysctl, ulimit, filesystem optimizations).
- Networking troubleshooting (e.g., iptables, tcpdump, DNS, NFS, SSH).
- Storage management (e.g., LVM, RAID, NVMe, GPU-local storage).
- Hands-on Kubernetes experience is mandatory:
- Debugging pods, nodes, and clusters (e.g., kubectl describe, kubectl logs, crictl).
- Networking and storage (e.g., CNI plugins, PersistentVolumes).
- Resource management (e.g., Requests/Limits, QOS classes).
- Familiarity with containerization (Docker, containerd) and basic IaC awareness Proficiency with monitoring tools (Prometheus, Grafana, ELK, OpenTelemetry).
- Basic scripting/automation skills (preferably Go, but Bash or Python are acceptable for ad-hoc tasks).
- Experience with bare metal, virtualization, or HPC environments (e.g., Fluidstack, Coreweave, Vast) is a strong plus.
- Excellent problem-solving and communication skills, with the ability to explain technical issues clearly and patiently to both technical and non-technical stakeholders.
- Customer-focused mindset with a passion for resolving issues efficiently and improving system reliability.
- Ability to work in on-call rotations and handle high-pressure situations with a structured, calm approach.
- Commitment to meeting tight SLAs for issue acknowledgment, triage, and first response.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
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.
About the Role
Location: Bengaluru (Hybrid mode)
Exp: 3-15yrs
We are looking for a Software Engineer to design, build, and scale internal platforms and software tools that power our infrastructure operations. You will treat operational challenges as software problems, developing clean services and developer platforms that make managing our global infrastructure reliable, fast, and effortless.
Responsibilities
Build Infrastructure Software:
Architect, write, and maintain scalable services, APIs, and tools that automate infrastructure provisioning, configuration, and runtime operations.
Streamline Developer Workflows:
Develop platform software and self-service tools that reduce operational toil, enabling engineering teams to deploy and manage resources safely and efficiently.
Drive Engineering Best Practices:
Apply standard software engineering practices—including modular design, code reviews, automated testing, and CI/CD—to infrastructure codebases and tooling.
Ensure System Reliability:
Write observability frameworks, automated testing pipelines, and self-healing tools to maintain high availability and proactively catch operational failures.
Collaborate Cross-Functionally:
Partner closely with Security, Systems, and Product Engineering teams to integrate infrastructure software seamlessly across the application lifecycle.
Desirable Skills, Knowledge, and Experience
Demonstrable experience as a Software Engineer building production software, with an emphasis on backend systems, APIs, or developer platform tools.
Strong proficiency in modern programming languages (e.g., Go, Python, Java, or Rust) with a track record of writing clean, testable, and maintainable code.
Solid understanding of software design patterns, API architecture (REST, gRPC), and data structures applied to operational tooling.
Hands-on experience with Infrastructure as Code frameworks (e.g., Terraform, Ansible) and programmatically interacting with infrastructure APIs.
Strong analytical, debugging, and system troubleshooting skills to diagnose issues across both application logic and underlying infrastructure.
Bonus Points
Experience writing software that interacts with cloud providers (AWS, GCP, or Azure) or container orchestration platforms (Kubernetes, Docker).
Familiarity with building robust CI/CD systems, automated integration testing, or continuous deployment tooling.
Active contributions to open-source developer tools, CLI applications, or infrastructure platforms.
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: Malaysia
Job Overview
We are seeking a highly experienced
Senior Linux Infrastructure Engineer
with deep expertise in Linux administration, bare metal infrastructure, enterprise storage, and next-generation
AI Factory / GPU infrastructure platforms
. This role is focused on designing, deploying, operating, and troubleshooting large-scale Linux-based infrastructure that powers both traditional enterprise workloads and modern AI/ML environments.
This is
not a DevOps-focused role
. We already have a dedicated DevOps team and are looking for an engineer with extensive hands-on experience in
Bare Metal as a Service (BMaaS), GPU infrastructure, high-performance storage, data center operations, and enterprise Linux platforms
.
The ideal candidate will have experience building and managing infrastructure from the hardware layer up, including servers, networking, storage, GPU clusters, and AI-ready platforms. They should be comfortable working with high-performance computing (HPC), AI Factory environments, and large-scale Linux deployments where performance, reliability, and operational excellence are critical.
Key Responsibilities & Required Skills
Linux & Bare Metal Infrastructure
Expert-level Linux administration (Ubuntu required; Red Hat and SUSE preferred)
Deep expertise in
bare metal server deployment, architecture, provisioning, and lifecycle management
Experience operating
Bare Metal as a Service (BMaaS)
platforms and large-scale infrastructure environments
Strong understanding of server hardware, including:
BIOS/UEFI
RAID controllers
Firmware management
iLO/iDRAC/IPMI
NICs and SmartNICs
HBA cards
Hardware diagnostics and troubleshooting
Experience designing, implementing, and supporting enterprise Linux infrastructure at scale
AI Factory & GPU Infrastructure
Experience deploying and managing
GPU-accelerated infrastructure
for AI/ML workloads
Understanding of NVIDIA GPU technologies including:
A100, H100, H200, B200, or equivalent GPU platforms
NVIDIA DGX and OEM GPU servers
GPU provisioning and lifecycle management
GPU monitoring and performance optimization
Knowledge of AI Factory architecture and infrastructure requirements
Experience supporting GPU clusters, AI training environments, and high-performance computing (HPC) workloads
Understanding of:
GPU resource allocation and scheduling
Multi-GPU systems
GPU networking requirements
High-bandwidth, low-latency infrastructure design
Familiarity with NVIDIA ecosystem technologies such as:
CUDA
NCCL
GPUDirect Storage
NVIDIA Fabric Manager
NVIDIA Base Command (preferred)
Enterprise Storage & Data Platforms
Advanced Linux storage administration:
LVM
XFS, EXT4
NFS
iSCSI
Fibre Channel SAN
Multipath I/O
Strong hands-on experience with
Ceph
, including:
Cluster architecture
MON, OSD, MDS
RBD, CephFS, RGW
Capacity planning
Performance tuning
Failure recovery
Experience with high-performance AI storage platforms such as:
WEKA
VAST Data
Dell PowerScale
Pure Storage FlashBlade
NetApp
Understanding of:
NVMe-over-Fabrics (NVMe-oF)
RDMA
GPUDirect Storage
Parallel file systems
AI data pipelines
Networking & Infrastructure
Strong networking knowledge:
Bonding
VLANs
Routing
MTU optimization
DNS
DHCP
Experience with high-performance data center networking:
100G/200G/400G Ethernet
RoCE
RDMA
Spine-Leaf architectures
Familiarity with NVIDIA Spectrum-X, Mellanox/NVIDIA ConnectX adapters, or equivalent technologies
Strong understanding of Layer 2 and Layer 3 infrastructure design and troubleshooting
Operations & Reliability
Experience with high availability, clustering, and disaster recovery
Strong troubleshooting skills across:
Linux operating systems
Hardware platforms
GPU infrastructure
Networking
Enterprise storage
Experience supporting mission-critical production environments
Bash and Python scripting for automation and operational efficiency
Experience creating operational documentation, runbooks, and infrastructure standards
Understanding of AI infrastructure design and reference architectures
AI cloud integration for workloads
SOP and runbook development and maintenance
Incident, problem, and capacity management
Business continuity and disaster recovery planning for AI workloads
Proactive risk identification and mitigation to avoid business impact
Nice to Have
Kubernetes infrastructure (especially AI/ML and GPU integration)
KVM, VMware, OpenShift Virtualization, or similar virtualization platforms
Ansible automation
NVIDIA Base Command Manager
Slurm or HPC workload schedulers
Observability and monitoring platforms (Prometheus, Grafana, OpenTelemetry)
Data Center Infrastructure Management (DCIM) tools
IPAM solutions
AWS, Azure, or hybrid cloud exposure
We Are Not Looking For
Candidates whose experience is primarily CI/CD pipeline engineering
Engineers focused mainly on Terraform, GitOps, or application delivery pipelines
Cloud-only administrators with limited bare metal, storage, or hardware experience
Professionals whose primary expertise is software development rather than infrastructure engineering
Ideal Candidate
Someone who has spent years designing, building, and operating enterprise Linux environments, large-scale bare metal infrastructure, storage platforms, and modern AI Factory environments. The ideal candidate understands how to deploy and manage GPU-enabled infrastructure, BMaaS platforms, enterprise storage, and high-performance networking while solving complex operating system, hardware, storage, and AI infrastructure challenges. DevOps experience is a plus, but deep Linux, infrastructure, storage, BMaaS, and AI Factory expertise is the primary requirement.
Location: Singapore
Job Overview
We are seeking a highly experienced
Senior Linux Infrastructure Engineer
with deep expertise in Linux administration, bare metal infrastructure, enterprise storage, and next-generation
AI Factory / GPU infrastructure platforms
. This role is focused on designing, deploying, operating, and troubleshooting large-scale Linux-based infrastructure that powers both traditional enterprise workloads and modern AI/ML environments.
This is
not a DevOps-focused role
. We already have a dedicated DevOps team and are looking for an engineer with extensive hands-on experience in
Bare Metal as a Service (BMaaS), GPU infrastructure, high-performance storage, data center operations, and enterprise Linux platforms
.
The ideal candidate will have experience building and managing infrastructure from the hardware layer up, including servers, networking, storage, GPU clusters, and AI-ready platforms. They should be comfortable working with high-performance computing (HPC), AI Factory environments, and large-scale Linux deployments where performance, reliability, and operational excellence are critical.
Key Responsibilities & Required Skills
Linux & Bare Metal Infrastructure
Expert-level Linux administration (Ubuntu required; Red Hat and SUSE preferred)
Deep expertise in
bare metal server deployment, architecture, provisioning, and lifecycle management
Experience operating
Bare Metal as a Service (BMaaS)
platforms and large-scale infrastructure environments
Strong understanding of server hardware, including:
BIOS/UEFI
RAID controllers
Firmware management
iLO/iDRAC/IPMI
NICs and SmartNICs
HBA cards
Hardware diagnostics and troubleshooting
Experience designing, implementing, and supporting enterprise Linux infrastructure at scale
AI Factory & GPU Infrastructure
Experience deploying and managing
GPU-accelerated infrastructure
for AI/ML workloads
Understanding of NVIDIA GPU technologies including:
A100, H100, H200, B200, or equivalent GPU platforms
NVIDIA DGX and OEM GPU servers
GPU provisioning and lifecycle management
GPU monitoring and performance optimization
Knowledge of AI Factory architecture and infrastructure requirements
Experience supporting GPU clusters, AI training environments, and high-performance computing (HPC) workloads
Understanding of:
GPU resource allocation and scheduling
Multi-GPU systems
GPU networking requirements
High-bandwidth, low-latency infrastructure design
Familiarity with NVIDIA ecosystem technologies such as:
CUDA
NCCL
GPUDirect Storage
NVIDIA Fabric Manager
NVIDIA Base Command (preferred)
Enterprise Storage & Data Platforms
Advanced Linux storage administration:
LVM
XFS, EXT4
NFS
iSCSI
Fibre Channel SAN
Multipath I/O
Strong hands-on experience with
Ceph
, including:
Cluster architecture
MON, OSD, MDS
RBD, CephFS, RGW
Capacity planning
Performance tuning
Failure recovery
Experience with high-performance AI storage platforms such as:
WEKA
VAST Data
Dell PowerScale
Pure Storage FlashBlade
NetApp
Understanding of:
NVMe-over-Fabrics (NVMe-oF)
RDMA
GPUDirect Storage
Parallel file systems
AI data pipelines
Networking & Infrastructure
Strong networking knowledge:
Bonding
VLANs
Routing
MTU optimization
DNS
DHCP
Experience with high-performance data center networking:
100G/200G/400G Ethernet
RoCE
RDMA
Spine-Leaf architectures
Familiarity with NVIDIA Spectrum-X, Mellanox/NVIDIA ConnectX adapters, or equivalent technologies
Strong understanding of Layer 2 and Layer 3 infrastructure design and troubleshooting
Operations & Reliability
Experience with high availability, clustering, and disaster recovery
Strong troubleshooting skills across:
Linux operating systems
Hardware platforms
GPU infrastructure
Networking
Enterprise storage
Experience supporting mission-critical production environments
Bash and Python scripting for automation and operational efficiency
Experience creating operational documentation, runbooks, and infrastructure standards
Understanding of AI infrastructure design and reference architectures
AI cloud integration for workloads
SOP and runbook development and maintenance
Incident, problem, and capacity management
Business continuity and disaster recovery planning for AI workloads
Proactive risk identification and mitigation to avoid business impact
Nice to Have
Kubernetes infrastructure (especially AI/ML and GPU integration)
KVM, VMware, OpenShift Virtualization, or similar virtualization platforms
Ansible automation
NVIDIA Base Command Manager
Slurm or HPC workload schedulers
Observability and monitoring platforms (Prometheus, Grafana, OpenTelemetry)
Data Center Infrastructure Management (DCIM) tools
IPAM solutions
AWS, Azure, or hybrid cloud exposure
We Are Not Looking For
Candidates whose experience is primarily CI/CD pipeline engineering
Engineers focused mainly on Terraform, GitOps, or application delivery pipelines
Cloud-only administrators with limited bare metal, storage, or hardware experience
Professionals whose primary expertise is software development rather than infrastructure engineering
Ideal Candidate
Someone who has spent years designing, building, and operating enterprise Linux environments, large-scale bare metal infrastructure, storage platforms, and modern AI Factory environments. The ideal candidate understands how to deploy and manage GPU-enabled infrastructure, BMaaS platforms, enterprise storage, and high-performance networking while solving complex operating system, hardware, storage, and AI infrastructure challenges. DevOps experience is a plus, but deep Linux, infrastructure, storage, BMaaS, and AI Factory expertise is the primary requirement.
Location: Serbia
Job Overview
We are seeking a highly experienced
Senior Linux Infrastructure Engineer
with deep expertise in Linux administration, bare metal infrastructure, enterprise storage, and next-generation
AI Factory / GPU infrastructure platforms
. This role is focused on designing, deploying, operating, and troubleshooting large-scale Linux-based infrastructure that powers both traditional enterprise workloads and modern AI/ML environments.
This is
not a DevOps-focused role
. We already have a dedicated DevOps team and are looking for an engineer with extensive hands-on experience in
Bare Metal as a Service (BMaaS), GPU infrastructure, high-performance storage, data center operations, and enterprise Linux platforms
.
The ideal candidate will have experience building and managing infrastructure from the hardware layer up, including servers, networking, storage, GPU clusters, and AI-ready platforms. They should be comfortable working with high-performance computing (HPC), AI Factory environments, and large-scale Linux deployments where performance, reliability, and operational excellence are critical.
Key Responsibilities & Required Skills
Linux & Bare Metal Infrastructure
Expert-level Linux administration (Ubuntu required; Red Hat and SUSE preferred)
Deep expertise in
bare metal server deployment, architecture, provisioning, and lifecycle management
Experience operating
Bare Metal as a Service (BMaaS)
platforms and large-scale infrastructure environments
Strong understanding of server hardware, including:
BIOS/UEFI
RAID controllers
Firmware management
iLO/iDRAC/IPMI
NICs and SmartNICs
HBA cards
Hardware diagnostics and troubleshooting
Experience designing, implementing, and supporting enterprise Linux infrastructure at scale
AI Factory & GPU Infrastructure
Experience deploying and managing
GPU-accelerated infrastructure
for AI/ML workloads
Understanding of NVIDIA GPU technologies including:
A100, H100, H200, B200, or equivalent GPU platforms
NVIDIA DGX and OEM GPU servers
GPU provisioning and lifecycle management
GPU monitoring and performance optimization
Knowledge of AI Factory architecture and infrastructure requirements
Experience supporting GPU clusters, AI training environments, and high-performance computing (HPC) workloads
Understanding of:
GPU resource allocation and scheduling
Multi-GPU systems
GPU networking requirements
High-bandwidth, low-latency infrastructure design
Familiarity with NVIDIA ecosystem technologies such as:
CUDA
NCCL
GPUDirect Storage
NVIDIA Fabric Manager
NVIDIA Base Command (preferred)
Enterprise Storage & Data Platforms
Advanced Linux storage administration:
LVM
XFS, EXT4
NFS
iSCSI
Fibre Channel SAN
Multipath I/O
Strong hands-on experience with
Ceph
, including:
Cluster architecture
MON, OSD, MDS
RBD, CephFS, RGW
Capacity planning
Performance tuning
Failure recovery
Experience with high-performance AI storage platforms such as:
WEKA
VAST Data
Dell PowerScale
Pure Storage FlashBlade
NetApp
Understanding of:
NVMe-over-Fabrics (NVMe-oF)
RDMA
GPUDirect Storage
Parallel file systems
AI data pipelines
Networking & Infrastructure
Strong networking knowledge:
Bonding
VLANs
Routing
MTU optimization
DNS
DHCP
Experience with high-performance data center networking:
100G/200G/400G Ethernet
RoCE
RDMA
Spine-Leaf architectures
Familiarity with NVIDIA Spectrum-X, Mellanox/NVIDIA ConnectX adapters, or equivalent technologies
Strong understanding of Layer 2 and Layer 3 infrastructure design and troubleshooting
Operations & Reliability
Experience with high availability, clustering, and disaster recovery
Strong troubleshooting skills across:
Linux operating systems
Hardware platforms
GPU infrastructure
Networking
Enterprise storage
Experience supporting mission-critical production environments
Bash and Python scripting for automation and operational efficiency
Experience creating operational documentation, runbooks, and infrastructure standards
Understanding of AI infrastructure design and reference architectures
AI cloud integration for workloads
SOP and runbook development and maintenance
Incident, problem, and capacity management
Business continuity and disaster recovery planning for AI workloads
Proactive risk identification and mitigation to avoid business impact
Nice to Have
Kubernetes infrastructure (especially AI/ML and GPU integration)
KVM, VMware, OpenShift Virtualization, or similar virtualization platforms
Ansible automation
NVIDIA Base Command Manager
Slurm or HPC workload schedulers
Observability and monitoring platforms (Prometheus, Grafana, OpenTelemetry)
Data Center Infrastructure Management (DCIM) tools
IPAM solutions
AWS, Azure, or hybrid cloud exposure
We Are Not Looking For
Candidates whose experience is primarily CI/CD pipeline engineering
Engineers focused mainly on Terraform, GitOps, or application delivery pipelines
Cloud-only administrators with limited bare metal, storage, or hardware experience
Professionals whose primary expertise is software development rather than infrastructure engineering
Ideal Candidate
Someone who has spent years designing, building, and operating enterprise Linux environments, large-scale bare metal infrastructure, storage platforms, and modern AI Factory environments. The ideal candidate understands how to deploy and manage GPU-enabled infrastructure, BMaaS platforms, enterprise storage, and high-performance networking while solving complex operating system, hardware, storage, and AI infrastructure challenges. DevOps experience is a plus, but deep Linux, infrastructure, storage, BMaaS, and AI Factory expertise is the primary requirement.
Location: Poland
Job Overview
We are seeking a highly experienced
Senior Linux Infrastructure Engineer
with deep expertise in Linux administration, bare metal infrastructure, enterprise storage, and next-generation
AI Factory / GPU infrastructure platforms
. This role is focused on designing, deploying, operating, and troubleshooting large-scale Linux-based infrastructure that powers both traditional enterprise workloads and modern AI/ML environments.
This is
not a DevOps-focused role
. We already have a dedicated DevOps team and are looking for an engineer with extensive hands-on experience in
Bare Metal as a Service (BMaaS), GPU infrastructure, high-performance storage, data center operations, and enterprise Linux platforms
.
The ideal candidate will have experience building and managing infrastructure from the hardware layer up, including servers, networking, storage, GPU clusters, and AI-ready platforms. They should be comfortable working with high-performance computing (HPC), AI Factory environments, and large-scale Linux deployments where performance, reliability, and operational excellence are critical.
Key Responsibilities & Required Skills
Linux & Bare Metal Infrastructure
Expert-level Linux administration (Ubuntu required; Red Hat and SUSE preferred)
Deep expertise in
bare metal server deployment, architecture, provisioning, and lifecycle management
Experience operating
Bare Metal as a Service (BMaaS)
platforms and large-scale infrastructure environments
Strong understanding of server hardware, including:
BIOS/UEFI
RAID controllers
Firmware management
iLO/iDRAC/IPMI
NICs and SmartNICs
HBA cards
Hardware diagnostics and troubleshooting
Experience designing, implementing, and supporting enterprise Linux infrastructure at scale
AI Factory & GPU Infrastructure
Experience deploying and managing
GPU-accelerated infrastructure
for AI/ML workloads
Understanding of NVIDIA GPU technologies including:
A100, H100, H200, B200, or equivalent GPU platforms
NVIDIA DGX and OEM GPU servers
GPU provisioning and lifecycle management
GPU monitoring and performance optimization
Knowledge of AI Factory architecture and infrastructure requirements
Experience supporting GPU clusters, AI training environments, and high-performance computing (HPC) workloads
Understanding of:
GPU resource allocation and scheduling
Multi-GPU systems
GPU networking requirements
High-bandwidth, low-latency infrastructure design
Familiarity with NVIDIA ecosystem technologies such as:
CUDA
NCCL
GPUDirect Storage
NVIDIA Fabric Manager
NVIDIA Base Command (preferred)
Enterprise Storage & Data Platforms
Advanced Linux storage administration:
LVM
XFS, EXT4
NFS
iSCSI
Fibre Channel SAN
Multipath I/O
Strong hands-on experience with
Ceph
, including:
Cluster architecture
MON, OSD, MDS
RBD, CephFS, RGW
Capacity planning
Performance tuning
Failure recovery
Experience with high-performance AI storage platforms such as:
WEKA
VAST Data
Dell PowerScale
Pure Storage FlashBlade
NetApp
Understanding of:
NVMe-over-Fabrics (NVMe-oF)
RDMA
GPUDirect Storage
Parallel file systems
AI data pipelines
Networking & Infrastructure
Strong networking knowledge:
Bonding
VLANs
Routing
MTU optimization
DNS
DHCP
Experience with high-performance data center networking:
100G/200G/400G Ethernet
RoCE
RDMA
Spine-Leaf architectures
Familiarity with NVIDIA Spectrum-X, Mellanox/NVIDIA ConnectX adapters, or equivalent technologies
Strong understanding of Layer 2 and Layer 3 infrastructure design and troubleshooting
Operations & Reliability
Experience with high availability, clustering, and disaster recovery
Strong troubleshooting skills across:
Linux operating systems
Hardware platforms
GPU infrastructure
Networking
Enterprise storage
Experience supporting mission-critical production environments
Bash and Python scripting for automation and operational efficiency
Experience creating operational documentation, runbooks, and infrastructure standards
Understanding of AI infrastructure design and reference architectures
AI cloud integration for workloads
SOP and runbook development and maintenance
Incident, problem, and capacity management
Business continuity and disaster recovery planning for AI workloads
Proactive risk identification and mitigation to avoid business impact
Nice to Have
Kubernetes infrastructure (especially AI/ML and GPU integration)
KVM, VMware, OpenShift Virtualization, or similar virtualization platforms
Ansible automation
NVIDIA Base Command Manager
Slurm or HPC workload schedulers
Observability and monitoring platforms (Prometheus, Grafana, OpenTelemetry)
Data Center Infrastructure Management (DCIM) tools
IPAM solutions
AWS, Azure, or hybrid cloud exposure
We Are Not Looking For
Candidates whose experience is primarily CI/CD pipeline engineering
Engineers focused mainly on Terraform, GitOps, or application delivery pipelines
Cloud-only administrators with limited bare metal, storage, or hardware experience
Professionals whose primary expertise is software development rather than infrastructure engineering
Ideal Candidate
Someone who has spent years designing, building, and operating enterprise Linux environments, large-scale bare metal infrastructure, storage platforms, and modern AI Factory environments. The ideal candidate understands how to deploy and manage GPU-enabled infrastructure, BMaaS platforms, enterprise storage, and high-performance networking while solving complex operating system, hardware, storage, and AI infrastructure challenges. DevOps experience is a plus, but deep Linux, infrastructure, storage, BMaaS, and AI Factory expertise is the primary requirement.
ОфисseniorРабота только из офиса; По желанию возможен переезд в Белград, Сербия; Релокационный пакет в Москву для специалистов из других городов
Гибрид
middle
Москва
Bangalore, India
Paris; San Francisco; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
Автоотклики