Вакансии

Location: United Kingdom (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity Grafana Labs is looking for a Regional Sales Director, Enterprise Growth who will be responsible for leading a team of Enterprise Growth Account Executives across the UK & Ireland. As the RSD you will be asked to drive revenue growth, retain and attract new talent, and grow your customer base within your assigned territory. You will be recognised as a sales leader throughout the company – setting the tone and pace for your specified region. We are looking for an entrepreneurial sales leader - someone who thrives in a fast-paced, ever-evolving environment. You’ll spend your time developing and executing sales strategies, mentoring your team, and strategically partnering with groups across the organisation.You will guide your team through a consultative sales approach where you will learn about your prospect’s needs and then dive into the potential fit. Your expertise will be critical in helping articulate the value of our products and building strong relationships between the prospect and the Grafana sales team. Ideally, you come from a technical background and have sold visualisation, application performance management, or cloud-based tooling before. If you have worked with open-source software before, that’s even better. This is a critical hire for the company and you’ll be working closely with the rest of the GTM leadership team. We are looking for someone who wants to sign up for that challenge and build something great. What You’ll Be Doing Develop and mentor your sales team Develop a pipeline to help over-achieve revenue targets Direct sales activities by establishing sales territories, quotas, and goals Build and maintain an annual sales plan (goals) in support of our organisational strategy and objectives Meet with prospects and strategise with sales representatives to help close deals Help the team prepare for QBRs and HBRs Develop long-term, strategic relationships with key contacts within their account base Strategically partner with Marketing, Solution Engineers, R&D, Customer Support and other functional teams What Makes You a Great Fit: Minimum 2 years of leading a successful Enterprise sales team in the UKI Minimum 8 years of successful direct sales experience Experience navigating complex sales cycles Excellent communication (written, oral) and presentation skills (in-person, virtual) Comfort working closely and building relationships with C-Level executives Consistent track record in shaping strategic seven-figure deals MEDDPICC expertise Experience working with ROI and cost modeling to educate and assist potential buyers Excellent organisational, prioritisation, and time management skills Unwavering dedication to integrity and professionalism Bonus Points For: Background in technical applications, familiarity with OSS is a big plus Compensation & Rewards In the UK, the OTE compensation range for this role is GBP £288,500 - £319,250. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

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Задачи: — Создание высокоинтегрированного и защищенного решения в клиент-серверной архитектуре с современными подходами к разработке и доставке приложений. — Разработка масштабируемой модульной распределенной архитектуры (микросервисы) для многопользовательской работы под высокими нагрузками с обеспечением отказоустойчивости и катастрофоустойчивости. — Создание системы распределенных и разграниченных вычислений и расчетов внутри приватного облака. — Системная интеграция с CAD и FEM-пакетами и системами управления промышленными роботами в реальном времени. — Обеспечение легкого обновления системы за счет замены программных модулей без нарушения целостности. — Создание легкого конфигурирования и расширения функционала системы добавлением новых модулей (имитационные модели, алгоритмы управления вычислительными экспериментами и др.). — Обеспечение разграничения доступа к базе данных, имитационным моделям и алгоритмам на основе лицензионной политики и билинга. — Логирование и журналирование работы модулей и действий пользователей. — Создание, поддержка и развитие архитектуры backend-части. — Проектирование и реализация коммуникаций между компонентами системы и со сторонними информационными системами (CAD, CAE, MES, FEM и др.). — Обеспечение нагруженной многопоточной обработки данных на серверах. — Применение единой модели описания прикладных решений, средств анализа, компиляции, сборки и деплоя. Требования: — Высшее математическое или техническое образование. — Опыт проектирования и разработки высоконагруженных кросс-платформенных приложений не менее 4 лет. — Опыт разработки многопоточных сервисов. — Опыт работы с ApacheKafka, Redpanda, RabbitMQ. — Опыт командной работы. — 3+ лет коммерческой разработки на C++. — Уверенное знание C++17/20, STL, RAII, move semantics, templates. — Хорошее понимание multithreading и concurrency. — Опыт разработки backend/high-load сервисов. — Понимание паттернов микросервисной архитектуры. — Опыт работы с PostgreSQL, понимание транзакций, индексов, locks, isolation levels. — Опыт разработки или интеграции gRPC. — Опыт профилирования и оптимизации производительности. — Способность самостоятельно принимать технические решения и отвечать за результат. Будет плюсом: — Production-опыт с userver. — Опыт построения высоконагруженных и отказоустойчивых систем. — Опыт работы с очередями/брокерами сообщений. — Знание observability: metrics, logging, tracing. — Опыт performance engineering. Условия: — Официальное трудоустройство, соблюдение норм трудового законодательства. — Полная удалённая работа. — Гибкий график. — Уровень заработной платы обсуждается с успешным кандидатом.

Задачи: — Внедрить культуру SLA/SLO — Участвовать в инцидентах как архитектор для поиска решений — Сделать observability по стандарту — Обеспечить secure-by-default — Настроить AI-агентов, которые будут автономно собирать контекст по инцидентам, автоматизировать рутину, и создать безопасные контуры для работы с AI Требования: — Опыт 5+ лет DevOps/SRE Условия: — full-time по ТК РФ — Помощь релокантам с переездом и первым жильём — Удобный офис с видом на реку в 5 минутах от м. Речной вокзал

450 000 – 700 000 ₽

Обязательные требования: — От 3 лет коммерческого опыта разработки на Java — Опыт Senior Developer, Tech Lead или технического лидера — Участие в олимпиадах по программированию — ICPC, IOI, Codeforces или аналогичных соревнованиях — Сильные знания алгоритмов, структур данных и оценки сложности — Глубокое знание Java, Spring Boot и экосистемы Spring — Опыт проектирования микросервисных и распределённых систем — SQL и NoSQL, оптимизация запросов и баз данных — Kafka и/или RabbitMQ — Docker и Kubernetes — CI/CD, мониторинг, логирование и observability — Опыт принятия архитектурных решений и проведения code review Задачи: — Разрабатывать backend-сервисы на Java и Spring Boot — Проектировать микросервисы, интеграции и отказоустойчивые компоненты — Принимать ключевые технические решения — Повышать производительность и стабильность high-load систем — Находить системные узкие места и разбирать production-инциденты — Декомпозировать задачи и участвовать в планировании — Проводить code review и поддерживать инженерные стандарты — Менторить разработчиков и развивать команду — Взаимодействовать с разработчиками, DevOps и аналитиками Будет преимуществом: — Призовые места или выход в финальные этапы олимпиад — Высокий рейтинг на Codeforces, LeetCode или аналогичных платформах — Опыт с DDD и Event-Driven Architecture — Работа с high-load и legacy-системами — Архитектурные ревью и подготовка ADR — Участие в найме и технических интервью — Английский язык B2+

от 1 000 000 ₸

Задачи: — Внедрить культуру SLA/SLO; — Участвовать в инцидентах как архитектор для поиска решений; — Сделать observability по стандарту; — Обеспечить secure-by-default; — Настроить AI-агентов, которые будут автономно собирать контекст по инцидентам, автоматизировать рутину, и создать безопасные контуры для работы с AI. Требования: — Опыт 5+ лет DevOps/SRE. Условия: — Работа в офисе в Новосибирске, удобный офис с видом на реку в 5 минутах от м. Речной вокзал; — Помощь релокантам с переездом и первым жильём; — Заработная плата от 450к до 700к net по ТК РФ.

450 000 – 700 000 ₽

Задачи: – Разрабатывать и проектировать backend-сервисы на Python / FastAPI. – Проектировать и поддерживать REST API для мобильного приложения, PWA, риск-профиля и ИИ-помощника. – Описывать и поддерживать контракты API: request/response schemas, validation, error model, versioning. – Работать с Pydantic, PostgreSQL, Redis и, при необходимости, S3-compatible storage. – Интегрироваться с AI/ML-слоем: n8n-прототипы, FastAPI/FastMCP-сервисы, LLM API, RAG/context, Qdrant, traces. – Строить observability: structured logs, trace/request id, metrics, dashboards, error tracking. – Писать поддерживаемый код, покрывать критичную логику тестами, участвовать в code review и технических обсуждениях. Требования: – Опыт backend-разработки на Python от 3 лет. – Хорошая база в технологиях веба: HTTP, контейнеры, хранение, веб-серверы. – Практический опыт разработки production API на FastAPI, Django, Flask или аналогичном backend-фреймворке; FastAPI будет сильным плюсом. – Уверенное владение Python. – Здравый смысл в использовании ИИ-агентов. – Хорошее понимание PostgreSQL: схемы, связи, индексы, транзакции, миграции, профилирование запросов. – Опыт проектирования REST API и умение договариваться о контрактах с mobile/frontend/SA/QA. – Опыт работы с микросервисами. – Умение писать тесты для критичной backend-логики. – Готовность работать в продуктовой команде, где требования меняются быстро, а API влияет на mobile, PWA и AI-сценарии.

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Typeform is a form builder helping over 150,000 businesses collect data with forms, surveys, and quizzes. The company is fully remote and hires candidates based in the UK, Ireland, Germany, Portugal, or The Netherlands. Product Operations is central to how Product and R&D teams work, creating systems and practices to focus on solving the right problems and delivering products. AI is increasingly important, with teams experimenting with tools like Glean and Claude, automations, agents, and AI usage throughout product development. The role of AI Product Operations Lead involves building and operating internal AI Operations capability for R&D. It requires turning ambiguous opportunities into reliable solutions by identifying high-value AI problems, understanding workflows, designing solutions, building or coordinating delivery, and being accountable for performance after launch. Responsibilities include: — Building and improving a backlog of AI opportunities across R&D, prioritizing impactful AI jobs. — Taking ambiguous problems from discovery to delivery: understanding users and workflows, exploring options, designing systems, implementing, testing, documenting, launching, measuring, and improving. — Designing simple AI-native solutions fitting naturally into workflows, deciding when prompts, automations, integrations, agents, databases, or custom apps are appropriate. — Helping R&D get value from enterprise AI tools like Glean and Claude, partnering with IT and InfoSec on access, configuration, connectors, enablement, and support. — Owning the lifecycle of AI systems including automations, skills, agents, and internal web apps. — Establishing evaluation, testing, reliability, observability, security, and maintenance practices, improving systems over time. — Partnering across R&D to uncover needs, unblock delivery, clarify ownership, and involve experts. — Running and evolving R&D AI governance and enablement practices, providing leaders visibility into work, risks, adoption, and outcomes. — Participating in broader AI governance efforts as an R&D contributor. — Working with Finance and partners to improve visibility into AI tool usage, spend, and value to inform investments. — Exploring and supporting autonomous agents to improve planning, discovery, design, build, evaluation, and management across product development. Requirements: — Strong practical experience applying AI to real-world problems, building usable solutions. — Proven track record taking ambiguous problems from discovery through implementation, testing, adoption, and improvement. — Excellent systems thinking to understand people, processes, tools, data flows, integrations, permissions, and constraints, making trade-offs. — Strong user and workflow discovery skills to understand real jobs and simplify solutions. — Hands-on technical fluency building, modifying, troubleshooting internal workflows, automations, agents, or apps. — Practical experience with modern development tools like GitHub, repositories, pull requests, application hosting, deployment, logging, and troubleshooting. — Ability to manage work independently: prioritizing backlog, handling dependencies and risks, documenting decisions, communicating with stakeholders. — Strong approach to evaluation and reliability, defining "good", testing, collecting feedback, and improving live systems. — Ability to work effectively across technical and non-technical teams, asking questions, challenging assumptions, seeking expert input, and progressing without close supervision. — Good judgment on responsible AI, security, access, governance, and knowing when to involve partners. The role reports to VP of Product Operations and collaborates with Product, Engineering, Design, Research, Data Science, IT, InfoSec, and AI practitioners across Typeform.

Задачи: — Поддержка, развитие и улучшение облачной инфраструктуры в AWS (включая VPC, EC2, EKS, IAM, Route 53, S3); — Управление платформами на базе Kubernetes; — Проектирование, внедрение и поддержка Infrastructure as Code с использованием Terraform и Ansible; — Поддержка деплоя сервисов и стандартизации платформы с помощью Helm; — Построение, поддержка и развитие CI/CD‑пайплайнов с использованием GitLab CI и Argo CD, администрирование on‑premises GitLab; — Поддержка и развитие мониторинга и observability (VictoriaMetrics, VictoriaLogs, Grafana); — Администрирование и поддержка HashiCorp Vault; — Диагностика и поддержка Linux‑окружений, работающих на EC2 и в Kubernetes; — Базовая операционная поддержка PostgreSQL, MS SQL, Apache Airflow, а также БД, работающих в AWS RDS и Kubernetes; — Участие во внедрении мер безопасности инфраструктуры и платформ (шифрование, сегментация сети, безопасное взаимодействие сервисов и т. д.); — Разработка внутренних инструментов и решений для автоматизации; — Разбор инцидентов, выявление первопричин и внедрение превентивных улучшений. Требования: — Высшее образование; — Сильный практический опыт работы с AWS, особенно VPC, EC2, EKS, IAM, Route 53, а также понимание сетевых концепций; — Уверенный опыт использования Terraform в продакшене; — Глубокий практический опыт работы с Kubernetes; — Хорошие знания Helm и опыт поддержки переиспользуемых шаблонов и chart’ов; — Практический опыт с Helm Library Charts и Go‑templating; — Уверенные навыки администрирования Linux; — Хорошее понимание сетевых основ: TCP/IP, DNS, HTTP(S), TLS, VPN, балансировка нагрузки, ingress; — Опыт построения и поддержки CI/CD‑пайплайнов, предпочтительно с GitLab CI; — Опыт работы с GitOps‑инструментами, такими как Argo CD; — Понимание мониторинга, логирования и устранения проблем в распределённых системах; — Умение писать скрипты и инструменты автоматизации на Bash, Python или Go; — Понимание основ безопасности инфраструктуры: работа с секретами, шифрование, контроль сетевого доступа, принцип наименьших привилегий, безопасные соединения; — Английский язык на уровне минимум B1, предстоит общение с иностранцами. Условия: — Прозрачную систему мотивации (оклад + ежегодные бонусы до 3ех окладов); — Подключение на крупный и стабильный проект. Разнообразие интересных задач; — Отсутствие бюрократии, высокая степень свободы. Решения принимаются очень быстро; — Карьерный рост, прямое влияние на бизнес и возможность использовать новейшие технологии.

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Задачи: — Стандартизация эксплуатационных и DevOps-практик, включая разработку типовых шаблонов CI/CD, Helm-чартов, конфигураций мониторинга, логирования и правил эксплуатации; — Развитие систем мониторинга и наблюдаемости (observability); — Обеспечение отказоустойчивости и высокой доступности информационных систем, включая анализ единых точек отказа, настройку механизмов резервирования и разработку технических решений по повышению надёжности; — Анализ и устранение инцидентов и технологических проблем, включая диагностику инфраструктурных и прикладных проблем, поиск первопричин (RCA), разработку и реализацию корректирующих мероприятий; — Настройка, сопровождение и регулярная проверка процессов резервного копирования и восстановления, включая контроль возможности фактического восстановления информационных систем и данных; — Автоматизация рутинных операций; — Отладка и интеграция новых функциональностей информационной системы; — Сопровождение контейнерной инфраструктуры и оркестрации приложений, включая Kubernetes или отечественные аналоги (Deckhouse и Базис), Helm, Docker, управление конфигурациями, ресурсами и жизненным циклом приложений; — Техническая поддержка и интеграция новых функциональностей информационных систем, включая подготовку инфраструктуры, настройку окружений, участие в тестировании и вводе изменений в промышленную эксплуатацию; — Участие в проектировании архитектуры информационных систем с точки зрения эксплуатации, надёжности, масштабируемости, наблюдаемости и возможности автоматизированного сопровождения. Требования: — Опыт настройки и администрирования ОС Linux не менее 3 лет; — Уверенные навыки администрирования кластерных структур на платформе Linux; — Опыт в работе со средствами виртуализации; — Опыт использования систем управления конфигурациями (Chef, Puppet, Ansible); — Опыт работы и администрирования Apache/Nginx, Docker, Kubernetes, Varnish, PostgreSQL, ELK Stack / OpenSearch dashboards, Prometheus, Grafana; — Знание и использование в работе скриптовых языков (bash, sh); — Опыт в работе языка Python; — Опыт работы с системами контроля версий (svn/git); — Умение настраивать CI/CD pipeline'ы; — Администрирование и настройка с инструментами CI/CD: Jenkins, Harbor, Terraform, ArgoCD, Keycloak или аналогами; — Опыт администрирования Kafka; — Опыт администрирования СУБД Postgres; — Опыт работы с облачными платформами (AWS, Google Cloud, Azure, YandexCloud, SberCloud); — Понимание концепций и технологий, используемых в непрерывном развертывании ПО, автоматизации процессов сборки, тестирования и внедрения новых версий программ; — Понимание принципов и технологий, используемых для создания современных web сервисов; — Отличные коммуникативные навыки и умение работать в команде; — Желание учиться и развиваться. Условия: — Гибридный или полностью удалённый формат работы. Для тех, кто предпочитает офис — в Москве: современное пространство в 5 минутах от м. Новокузнецкая (фитнес-зал, настольный теннис, комната PS 5, регулярные активности для резидентов), в Санкт-Петербурге: коворкинг в 10 минутах от м. Маяковская (PS 5, еженедельные вечеринки); — Работа в аккредитованной ИТ-компании со всеми предусмотренными государственными льготами, включая ИТ-ипотеку; — Полностью «белая» заработная плата. Уровень дохода обсуждается индивидуально и зависит от опыта и экспертизы; — ИТ-отсрочка и бронь от мобилизации как для сотрудников компании с критически важной инфраструктурой; — Корпоративные льготы на авиабилеты авиакомпаний «Аэрофлот», «Россия» и «Победа» для сотрудника и членов семьи (родители, супруг(а), дети); — ДМС с первого рабочего дня: стоматология, помощь на дому, плановый и экстренный стационар; возможность подключения семьи на льготных условиях; — Компенсация питания при работе из офиса; — Курсы, сертификации, профессиональные конференции; — Корпоративный сервис благополучия: безлимитные консультации с экспертами по юридическим, психологическим, финансовым вопросам и вопросам здорового образа жизни; — Корпоративные мероприятия и активности: спорт, киберспорт, мотопробеги и другие форматы внерабочего общения; — Дополнительно: кафетерий скидок, доступ к корпоративной библиотеке Alpina Digital, билеты на футбольные и баскетбольные матчи.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Grafana Labs is looking for a Senior Enterprise Account Executive, Acquisition who will be responsible for prospecting and closing new business across the West region. You will identify, nurture and close opportunities with new customers, manage forecasts and track customer data. We're strong proponents of a consultative sales approach - learn about the customer's needs first before talking products. Your expertise will be critical in helping articulate the value of our products, work with the customer during the trial phase and hand off a strong relationship to our Growth team. Ideally, you come from a technical background and have sold technical products before. Responsibilities Meet and exceed individual quarterly and annual sales goals Outbound prospecting into net-new customers Manage all aspects of the sales process (prospecting, sales meetings, product demos, proofs of concept, proposals, and negotiations) Cultivate sales through outbound prospecting and inbound leads Be able to understand and convey the value of both Grafana Cloud and Grafana Enterprise Become an expert in managing your sales pipeline in Salesforce Manage quote creation, order processing, and day-to-day customer requests Requirements 5+ Years of Experience in Infrastructure Technology Sales Demonstrated history of consistent goal achievement in a highly competitive environment (top 10% performer) Energetic, upbeat, entrepreneurial, tenacious team player Adaptable and with demonstrable experience in high velocity technology companies Familiarity with open source technology is a significant advantage You will need to be an excellent communicator in all channels (in person, online, in writing) and able to form strong working relationships both in person and virtually Bonus Points For: Experience using Salesforce Experience using Command of the Message and MEDD(P)ICC is ideal In the US, the OTE compensation range for this role is $260,000 - $300,000.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

О команде: Наша команда отвечает за скорость работы Авито на всех платформах: фронтенде, бэкенде и мобильных приложениях. Мы создаём инструменты для тестирования, анализа и контроля производительности, помогаем продуктовым командам ускорять сервис. Задачи: — тестировать производительность: работать над архитектурой, интерфейсами и низкоуровневыми аспектами платформы нагрузочного тестирования, адаптировать её под разные сценарии использования; — развивать метрики производительности, подходы к их анализу и выявлять на их основе зоны роста производительности платформы; — улучшать инженерные инструменты команды и платформы в целом; — работать с командой над общими целями: декомпозировать задачи, оценивать и планировать работу по своему направлению на горизонте до года; — формировать планы по повышению технической зрелости продукта и управлять техническим бэклогом своего направления; — отвечать за качество разрабатываемого продукта и высокую доступность сервисов; — работать со стейкхолдерами: прорабатывать требования, координировать работу с другими командами и презентовать результаты; — обучать команды лучшим практикам использования наших инструментов. Требования: — опыт проектирования и разработки нагруженных отказоустойчивых распределённых систем и глубокое понимание принципов разработки; — опыт коммерческой разработки на Go от 3 лет; — понимание принципов работы Kubernetes, баз данных, очередей, шин данных и других инфраструктурных компонентов; — опыт работы с компонентами Observability, умение отлаживать и находить первопричины сложных проблем; — умение брать на себя ответственность и вести проекты от идеи до запуска и поддержки; — системный подход, умение принимать решения в условиях неопределённости; — ориентация на результат и готовность к сложным задачам. Будет здорово, если вы: — обладаете знаниями и опытом работы с инструментами контроля производительности: работали с генераторами нагрузки или разрабатывали их, использовали на практике инструменты профилирования приложений и понимаете, как они устроены; — понимаете низкоуровневые аспекты работы кода и возможности его оптимизации; — имеете опыт DevOps/SRE; — владеете базовым математическим аппаратом теории очередей. Условия: — возможность реализовать свои идеи в проекте с многомиллионной аудиторией; — талантливая команда, готовая поддержать ваши инициативы; — мощное железо, дополнительные мониторы и всё необходимое для продуктивной работы; — прозрачная система премий и достойная зарплата — размер обсудим на собеседовании; — личный бюджет на обучение: книги, курсы, конференции; — забота о здоровье: с первого дня — ДМС со стоматологией, в офисе работают терапевт и массажист; — удалёнка и комфортный офис в двух минутах от метро «Белорусская»: панорамный вид на центр города, зоны для уединённой работы и отдыха.

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE We’re looking for a Talent Operations Manager to own the systems, data, and operating rhythm behind how Render hires. You’ll architect our ATS, build the reporting that Talent and hiring teams rely on, and lead process changes that help us scale without losing quality. You’ll work closely with recruiters, recruiting coordinators, hiring managers, People leaders, and external partners. You’ll make sure our hiring data can answer the questions teams need to make better decisions. This is a high-leverage role for someone who likes turning messy, fast-moving work into clear operating systems. You’ll help us reduce process drift, improve candidate and interviewer experience, keep hiring data trustworthy, and give the team better visibility into what is working, what is blocked, and where we need to adjust. We value people who are practical, systems-minded, and steady when the work gets complex. The right person can zoom out to design how the system should work, then zoom in to improve the field, report, access role, or automation that is slowing the team down. WHAT YOU’LL DO - Architect how our ATS works across custom fields, access roles, interview plans, feedback forms, automations, integrations, and reporting foundations - Own the reporting layer for Talent leadership and hiring teams, including dashboards, ad hoc reporting, metric definitions, and visibility into hiring plan progress - Keep hiring data accurate and reconciled across the ATS, the hiring plan, and downstream systems so decisions get made on numbers people trust - Turn recurring Talent Operations requests into better systems: identify patterns, improve workflows, automate repeatable work, and make the right processes self-serve - Evaluate, procure, implement, and manage tools for sourcing, scheduling, reporting, and recruiting operations - Build the connective tissue between systems, including API-based reporting, integrations, and automations that reduce manual work for recruiters and coordinators - Lead process rollouts with clear documentation, training, adoption checks, and follow-through so changes stick WHAT WE’RE LOOKING FOR - 5+ years in recruiting, recruiting operations, talent operations, people systems, or a similar systems and data role in a high-growth environment - Deep ATS expertise, particularly Ashby. You can design how the system should work, not just maintain it, across custom fields, access roles, interview plans, automations, integrations, and reporting foundations - Strong analytical skills. You can take a vague question, decide what data would answer it, and build the report yourself - Proficient in Google Sheets or Excel. You can pull data together from multiple sources and turn the result into a case a cross-functional partner can follow - Experience owning data integrity across an ATS and the systems around it, including reconciling against a hiring plan or another source of truth - Strong program and change management skills. You can roll out a new process, teach it, measure adoption, and keep the team aligned - Clear written communication, strong documentation habits, high attention to detail, and good judgment in a fast-moving environment NICE-TO-HAVES - Experience building or scaling a recruiting operations function at a post-Series B/C company - Experience supporting technical recruiting teams or high-volume engineering hiring - Hands-on experience with the Ashby API or ATS-based reporting - Exposure to headcount planning or headcount management systems - AI fluency, with good judgment about where AI helps, where it adds risk, and what checks are needed before others rely on the output If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: San Francisco, California Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: This role will be based in San Francisco. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. You’ll build the systems that let any knowledge worker leverage fast, scalable databases without having to become a DBA. You’ll be a hands-on technical leader, helping set the architectural direction and roadmap as we take a new product from early alpha to general availability. You’ll work directly with early customers to shape foundational technical and product decisions. Then, together, we’ll work on scaling as adoption and workloads grow. This is a backend-leaning role with work spanning the stack. You might build the systems that provision and manage a fleet of customer Postgres instances, design how user-defined schemas evolve safely, or make complex queries execute efficiently. You’ll also follow those systems into the product: improving how a table loads, how users understand a slow operation, or how an agent safely works with their data. You’ll help shape the architecture and the product together. Some problems call for a better abstraction, others for a better default, and others for rethinking what we ask the user to do in the first place. You’ll work with teammates and customers to find those answers, ship practical solutions, and evolve them as usage grows. Our stack includes Postgres, Go, TypeScript, Node.js, and React. ABOUT THE TEAM: The people who understand a business best aren’t always the people who can build its software. A support lead knows how tickets should be triaged. An operations manager knows how inventory should move. But turning that knowledge into a reliable system often means finding an engineer, provisioning a database, and building an application. We’re building database infrastructure for everyone else. We want everyday knowledge workers to bring their data into Notion, connect it, and build workflows around it. And do so with the power of a real database (Postgres!) and the approachability of a tool they already know. AI agents make that opportunity even bigger: helping people build and operate systems they couldn’t have created on their own. For our team, this is much more than putting a friendly interface on Postgres. It means making hard database problems disappear from the user’s workflow without sacrificing correctness, performance, or flexibility. How do you let someone reshape a live database as easily as editing a document? Make the right indexes exist without asking someone to become a DBA? Let a weekend experiment grow into a company’s system of record without anyone having to rearchitect it? WHAT YOU'LL ACHIEVE: - Take a new product from alpha to general availability. Work with early customers to understand what matters, iterate on feedback, and help shape what we ship. - Make real customer workloads fast. Improve query execution, indexing, and client data loading so performance holds up as datasets grow and workflows become more demanding. - Build systems businesses can trust with their data. Make schema changes, concurrent writes, permissions, and recovery reliable enough for customers to build essential workflows on top. - Make powerful capabilities approachable. Turn database provisioning, migrations, and indexes into a reliable, easy-to-use product experience that gives people the power of a database without the burden of managing one. - Build for the customers who come next. Automate database provisioning and fleet operations, strengthen observability, and evolve the architecture so we can serve many, many customers. SKILLS YOU'LL NEED TO BRING: - Production relational database experience (e.g., Postgres or MySQL). You’ve made decisions about schemas and indexes, analyzed database performance, and debugged issues involving transactions, locking, or concurrency. Your experience goes beyond accessing a database through an ORM. - Engineering experience and technical leadership. You bring 10+ years of experience building and operating production software, with a track record of setting technical direction and leading complex, cross-team initiatives from concept through delivery. You identify the most important problems to solve, turn ambiguous goals into a technical strategy, and align engineers and partner teams around a practical plan. You stay hands-on while helping others make better decisions through design reviews, mentorship, and clear technical guidance. - Strong backend engineering fundamentals. You’ve built services that need to remain correct under concurrency and failure. You can reason about retries, partial failures, consistency, and the trade-offs involved in reliable reads and writes. - A systematic approach to performance. You use query plans, traces, profiles, and experiments to find bottlenecks and verify improvements. You’re willing to follow a problem across storage, services, and client code rather than stopping at a team boundary. - Product judgment. You’re interested in who will use what you build, not just how it works. You can turn a customer’s problem into a technical approach and recognize when a better default or simpler workflow would solve it more effectively. - Willingness to work across the stack. You bring backend depth, but you’re comfortable learning unfamiliar systems and working in client code when that’s what delivering a good experience requires. - Fluency with AI-assisted engineering. You use AI to accelerate exploration, implementation, and testing while taking responsibility for understanding and validating the result. NICE TO HAVES: - Experience managing fleets of databases or building database platforms, including provisioning, upgrades, backups, and recovery. - Deep Postgres expertise, such as advanced query optimization, performance tuning, or workload isolation for large datasets and high-concurrency workloads. - Experience building query layers, sync engines, change-data-capture pipelines, permission systems, or other reusable data abstractions. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $234,000 – $352,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Remote About GiveDirectly What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need? Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid. Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question: is this doing more good than giving the money directly to people living in poverty? We’re growing fast, and this is a rare and important moment to join. We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress. How we work Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated: Recipients first. Recipients’ preferences come before those of donors or ourselves. Team next. We optimize for organizational success, not individual success. Be proactively candid. We say what we believe and share information openly. Create positive energy. We aim to be a source of energy for colleagues, not a drain. Think rigorously; act quickly. We reason from first principles, then act rather than debate. Know yourself and grow. We own our imperfections and seek feedback to grow. Accept reality. Propose solutions. We focus on what can change and bring solutions, not just problems. Be productively ambitious. We take risks for step-change impact, not incremental progress. If they describe how you like to work and they energize you, this could be a great fit. Want to learn more? Read and listen: We are one of Time100’s Most Influential Companies of 2026, and our work has been covered by The Economist , NPR , TED , and The Washington Post . We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows. Read our CEO's essay on what that will take. Reports to: Vice President, Partnerships Level: Director (we are open to hiring at Senior Director level for more experienced candidates) Role overview GiveDirectly intends to transfer $10B by 2035 while building a resilient, durable cash-first movement in the aid sector. To reach this milestone, we have brought all fundraising efforts under one leadership, to enable better coordination and optimisation of fundraising streams and operations over time. This unified approach is building a high-performance fundraising team that identifies and secures high-quality leads, while standardizing revenue operations and knowledge-sharing across all verticals, enabling a better donor experience and securing long-term funding to achieve our goals of eliminating extreme poverty and responding better in crisis. The Director/Senior Director, Revenue Operations will own the operating backbone of the Fundraising function: the data, systems, and processes that let Partnerships, Philanthropy, Individual Giving, and Special Projects run at scale. As we grow our Emergency Cash and US work alongside our work on ending extreme poverty, the candidate will also help ensure fundraising strategies are complementary rather than competing. This is a BizOps-first role. You will build the pipeline infrastructure, KPI architecture, and operating rhythms that make Fundraising's growth predictable and measurable, and you will represent Fundraising to Finance, Compliance, Grants Management, and the People team. Alongside this, the role carries a chief-of-staff dimension: partnering with the Vice President of Partnership on strategic priorities, high-stakes internal and external communications, and organizational change management, so the VP's time is focused on the highest-impact work. Depending on the skills and interests of the person we hire, this role may grow to manage a team of 3-5, covering some combination of: fundraising tech and data (e.g. Salesforce), donor experience, and knowledge management. Reflecting our "Team Next" value and commitment to organizational excellence, this person will drive cross-functional collaboration to ensure fundraising operations scale seamlessly alongside our global growth. Key responsibilities Own Fundraising's revenue operations: data, systems, and process (primary focus) Build and own the strategic data and systems architecture for Fundraising: pipeline tracking, annual and in-year forecasting, and reporting infrastructure (e.g. Salesforce) that gives every vertical a single, trustworthy source of truth. Define, standardize, and own tracking of fit-for-purpose Fundraising KPIs, aligned to Board reporting needs and the team's long-term strategic direction. Partner with counterparts on Fundraising Data and Tech to prioritize, execute, and approve projects that serve both functions. Design and institutionalize the operating rhythms of the Fundraising function: pipeline reviews, QBRs, reporting cadences, and the processes that turn strategy into consistent execution. Develop revenue systems and processes alongside the Finance, Fundraising and Donor Experience teams that support scalable growth, protect donor journeys, and ensure capital moves securely and efficiently through the organization. Own revenue reconciliation and recognition, pledge and receivable tracking, restricted-fund coding, monthly/annual close handoff, or audit support. Own workforce and capacity planning for Fundraising in partnership with the VP: role scoping, hiring prioritization, and structural improvements as the team scales. Build and lead a team as the function matures As the role grows, manage a team of 3-5 covering fundraising tech and data (e.g. Salesforce), donor experience, and knowledge management, setting priorities, coaching, and ensuring quality across each area. Set clear ownership and operating cadences across the team so each workstream (tech and data, donor experience, knowledge management) has a defined remit and reduces duplicated effort across Fundraising verticals. Act as the go-to liaison between Fundraising and other functions Maintain a comprehensive view of Fundraising needs across all verticals and sub-teams, and act as the single point of contact for Grants Management, Finance, and Compliance on run-rate donor management processes. Represent Fundraising's operational needs to the People team, Legal, and other functions as cross-functional systems and initiatives are designed and launched. Partner with the VP on strategy and organizational effectiveness (chief-of-staff functions) Collaborate with the Vice President to refine the unit's strategy, manage organizational change, and lead internal communications. Streamline decision-making, manage priorities, and provide strategic counsel to maximize the VP's focus and effectiveness on high-impact work. Prepare briefing materials and executive-level communications for senior leadership and Board audiences as needed. Lead on cross-fundraising initiatives and priorities Address broader organizational priorities as needed, including high-level donor stewardship coordination, cross-functional system launches, flexible workforce planning, or market expansion initiatives. This role would suit somebody who is comfortable working in a fast-paced environment, who is energized by building systems and structure out of ambiguity, and who enjoys pulling together disparate workstreams into a cohesive, impactful strategy. It's a strong fit for someone with a business operations, revenue operations, or chief-of-staff background who wants a role weighted toward building and owning systems (and, over time, building a team) rather than one focused primarily on executive support. What we're looking for 8+ years of experience in revenue operations, business operations, or a chief-of-staff role, ideally within a fundraising, sales, or partnerships organization. Demonstrated experience building or owning CRM/pipeline systems (e.g. Salesforce), KPI frameworks, and reporting infrastructure that multiple teams rely on. Strong analytical operator: comfortable structuring ambiguity, setting priorities, and using data to drive decisions. An advanced degree (e.g. MBA) is a plus, not a requirement. Proven track record managing cross-functional relationships and influencing senior stakeholders outside a direct reporting line. Experience managing people or workstreams, with the ability to scope roles and structure as a function grows; direct people management experience is a plus given this role may build and lead a team of 3-5. Excellent written and verbal communication skills, particularly for high-stakes internal and Board-facing materials. Deep alignment with GiveDirectly's values, especially recipient choice, transparency, and evidence. Bonus Experience working with institutional donors or fundraising teams in Africa. Experience standing up a BizOps or RevOps function from scratch, including building out a team across tech and data, donor experience, and knowledge management. Compensation At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy to ensure we are paying staff equitably across roles. Read more about our compensation philosophy here . Unless otherwise noted, the benefits stipend may be used to cover benefits or taken as additional taxable income. For Director level: United States Base Salary: $134,400 Bonus at Target Performance: 15% (~$20,160, with potential for upside. At the referenced 1.17× performance multiplier: ~$23,587) Estimated Total Compensation at Target: $154,560+ Annual Benefits Stipend: $21,393 Kenya Base Salary: $106,280 Bonus at Target Performance: 15% (~$15,942, with potential for upside. At the referenced 1.17× performance multiplier: ~$18,652) Estimated Total Compensation at Target: $122,222+ Annual Benefits Stipend: $21,393 For Senior Director level: United States Base Salary: $166,980 Bonus at Target Performance: 15% (~$25,047, with potential for upside. At the referenced 1.17× performance multiplier: ~$29,305) Estimated Total Compensation at Target: $192,027+ Annual Benefits Stipend: $21,393 Kenya Base Salary: $137,910 Bonus at Target Performance: 15% (~$20,687, with potential for upside. At the referenced 1.17× performance multiplier: ~$24,203) Estimated Total Compensation at Target: ~$158,597+ Annual Benefits Stipend: $21,393 This role is fully remote, so if you are not based in the US or Kenya, we will share an estimated salary benchmark for the country you are based in during the hiring process. #LI-REMOTE Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to " Know Your Rights " as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme , and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. **GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing,  reporting, or responding to any form of abuse or  exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.** Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide ! Referrals Know the right person for this role? Please consider referring them . We offer a reward of $3,000 for a Senior Manager or above role, and $500 for a Manager role, paid if we end up hiring your referral. Thank you for sending great people our way!

Location: Hybrid - San Francisco, New York City About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role: We are looking for a Software Engineer to join our Platform team. You will build the observability systems that give Vercel visibility into how we build, ship, and operate our systems. Core Platform owns Vercel’s reliability, resilience, and engineering velocity. We’re looking for engineers to create observability for everything from cost attribution to deployment velocity, alongside the logs, metrics, and traces necessary to optimize how Vercel builds its systems. This is a role with a wide breadth where we quickly develop critical systems and improve the entire Vercel code base. You will report to Eric Larson, Engineering Manager, Platform and will be located onsite, hybrid, or remote. If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday, even if the role is listed as remote. For location-specific details, please connect with our recruiting team. What you will do: Design and build high-scale, internal observability systems (metrics, logs, and traces) that give engineering and the business visibility into Vercel's own infrastructure. Build cost attribution and chargeback tooling so spend can be accurately mapped to the parts of the business driving it, reducing reliance on third-party tools like Datadog. Partner with Backend and Platform teams to instrument services for compliance, auditing, and record-keeping requirements. Evaluate, integrate, and help operate observability infrastructure across our existing vendors and the CNCF ecosystem. Ship pragmatic, high-leverage visibility quickly that drives improvement in how we build, deploy, and operate our systems. Work closely with Backend and Platform engineers to scale observability infrastructure to the throughput and cardinality of Vercel's full production traffic. About you: Proficient in TypeScript, with backend/infrastructure experience. Hands-on experience with Go, Rust, or Zig in production systems. Experience with distributed computing systems at scale. Experience with cloud infrastructure, including object storage. Familiarity with observability tooling and concepts (Datadog, Grafana, New Relic, Splunk, or CNCF-based stacks such as Prometheus-compatible backends). Bonus if you: Have contributed to or worked closely with CNCF observability projects. Built, scaled, and improved internal developer platforms. Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $208,000-$312,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are seeking candidates in US and Canada (EST/CST time zones) The Opportunity About Grafana Frontend The Grafana Frontend group is responsible for the end to end user experience on Grafana the observability product and Grafana the platform used by many engineers to build plugins. Our squads are responsible for dashboards, data visualization and manipulation, navigation across the ecosystem, sharing experience, content search,organisation and more. You'll also have the opportunity to work across the Grafana Frontend team and partner with other squads within the Grafana department to drive innovation and solve complex engineering challenges. The squad: DataViz We build and evolve the Grafana Visualizations. We want to give our users the ability to visualize their data in a way that’s easy to set up and understand, so they can pull out interesting and valuable insights. Some of our recent projects include: Externalisation of our core visualization to be independently releasable and remove interdependencies GraphViz : Visualize relationships, flows, and architectures using the Graphviz DOT language with live metrics from any Grafana data source. Raising the bar on quality and reliability: improving our test coverage, introduce a new testing strategy and tooling for visual regressions Refresh the look and feel of our existing visualizations . E.g Table and Gauge Our work is open source, you can browse grafana/grafana on GitHub directly to see how we build our software. Our stack is primarily Typescript, React, and uPlot and eCharts for our visualisations. What you’ll be doing Lead multi-quarter technical initiatives from problem framing through rollout. Including getting  user feedback and measuring whether what you shipped actually worked Mentor and collaborate with other engineers. Raise the engineering bar through code review, design feedback, pairing on hard problems, and writing that leaves the team better than you found it. Participate in on-call for the services you help build, and be a force multiplier in incident response and post-incident learning. Provide technical support in customer escalations and help us identify areas of high friction to address. Cross-squad collaboration: Represent the team's work outside the team, write the design proposals, run the demos, and make the case for our roadmap in cross-team discussion. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: We highly value those who are intellectually curious , who default to transparency , possess a high bias towards action , and who are also kind and enjoy working as a team . Technical leadership . You have solid experience leading teams through projects, mentoring other engineers and serving as a force-multiplier. You communicate clearly in a fully remote, asynchronous environment. You take responsibility for operating the software you have built . You have experience being on-call, supporting software in production, ensuring reliability and responding to incidents as needed. You enjoy working on complex solutions ,  building production software systems. You’re a self-starter, capable of tackling complex engineering problems with minimal supervision. User focus and pragmatism . You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate. AI experience with a practical mindset : You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. You care about our community of users and contributors and are keen to be an active Grafana Community Contributor. Bonus points for: Open-source contribution or maintainership, and comfort engaging a community in the open. Have an active interest in observability (Metrics, Logs and Traces) and have experience with tools like Grafana, Prometheus, or other observability platforms. Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab). Experience in a fully remote, globally distributed team. In Canada, the compensation range for this role is $186,368 - $223,642 CAD. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are seeking candidates in US and Canada (EST/CST time zones) The Opportunity About Grafana Frontend The Grafana Frontend group is responsible for the end to end user experience on Grafana the observability product and Grafana the platform used by many engineers to build plugins. Our squads are responsible for dashboards, data visualization and manipulation, navigation across the ecosystem, sharing experience, content search,organisation and more. You'll also have the opportunity to work across the Grafana Frontend team and partner with other squads within the Grafana department to drive innovation and solve complex engineering challenges. The squad: DataViz We build and evolve the Grafana Visualizations. We want to give our users the ability to visualize their data in a way that’s easy to set up and understand, so they can pull out interesting and valuable insights. Some of our recent projects include: Externalisation of our core visualization to be independently releasable and remove interdependencies GraphViz : Visualize relationships, flows, and architectures using the Graphviz DOT language with live metrics from any Grafana data source. Raising the bar on quality and reliability: improving our test coverage, introduce a new testing strategy and tooling for visual regressions Refresh the look and feel of our existing visualizations . E.g Table and Gauge Our work is open source, you can browse grafana/grafana on GitHub directly to see how we build our software. Our stack is primarily Typescript, React, and uPlot and eCharts for our visualisations. What you’ll be doing Lead multi-quarter technical initiatives from problem framing through rollout. Including getting  user feedback and measuring whether what you shipped actually worked Mentor and collaborate with other engineers. Raise the engineering bar through code review, design feedback, pairing on hard problems, and writing that leaves the team better than you found it. Participate in on-call for the services you help build, and be a force multiplier in incident response and post-incident learning. Provide technical support in customer escalations and help us identify areas of high friction to address. Cross-squad collaboration: Represent the team's work outside the team, write the design proposals, run the demos, and make the case for our roadmap in cross-team discussion. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: We highly value those who are intellectually curious , who default to transparency , possess a high bias towards action , and who are also kind and enjoy working as a team . Technical leadership . You have solid experience leading teams through projects, mentoring other engineers and serving as a force-multiplier. You communicate clearly in a fully remote, asynchronous environment. You take responsibility for operating the software you have built . You have experience being on-call, supporting software in production, ensuring reliability and responding to incidents as needed. You enjoy working on complex solutions ,  building production software systems. You’re a self-starter, capable of tackling complex engineering problems with minimal supervision. User focus and pragmatism . You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate. AI experience with a practical mindset : You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. You care about our community of users and contributors and are keen to be an active Grafana Community Contributor. Bonus points for: Open-source contribution or maintainership, and comfort engaging a community in the open. Have an active interest in observability (Metrics, Logs and Traces) and have experience with tools like Grafana, Prometheus, or other observability platforms. Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab). Experience in a fully remote, globally distributed team. In the United States, the compensation range for this role is $174,986 - $209,983 USD.  Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Задачи: — Администрировать продуктивные и тестовые кластеры ClickHouse, контролировать состояние шардов, реплик, Distributed-таблиц и ReplicatedMergeTree-таблиц; — Диагностировать replication queue, merges, mutations, inserts, деградацию запросов и проблемы с дисковой подсистемой; — Анализировать системные таблицы ClickHouse и состояние кластера; — Участвовать в изменении топологии кластера: добавление шардов, реплик, серверов, изменение Distributed-таблиц; — Планировать горизонтальное масштабирование ClickHouse-кластера; — Оптимизировать схемы данных, партиционирование, ключи сортировки, TTL, индексы, storage policy и настройки сервера; — Работать с хранением данных: локальные диски, LUN, DAS, hot / warm storage, S3-совместимое хранилище; — Прорабатывать дедупликацию данных, повышение уровня сжатия и механизм токенизации / full text search по событиям; — Настраивать и сопровождать ClickHouse Keeper / ZooKeeper; — Настраивать TLS/SSL для клиентских подключений и межсерверного взаимодействия; — Разрабатывать и проверять backup/restore и disaster recovery; — Настраивать мониторинг, алерты и дашборды по ClickHouse; — Готовить Ansible playbooks / roles, runbook’и, инструкции, чек-листы и технические отчёты. — Администрировать продуктивные и тестовые инсталляции MariaDB; — Контролировать состояние серверов, репликации, соединений, транзакций, блокировок и фоновых процессов; — Настраивать и сопровождать репликацию: master-slave, master-master, GTID-based replication; — Диагностировать replication lag, ошибки SQL thread / IO thread, рассинхронизацию данных и конфликты при master-master-схемах; — Участвовать в миграции MariaDB с master-master-репликации на Galera Cluster; — Настраивать, сопровождать и диагностировать Galera Cluster; — Прорабатывать HA-архитектуру MariaDB: failover, fencing, VIP / proxy layer, split-brain-риски; — Разрабатывать и проверять disaster recovery-сценарии, RPO / RTO и восстановимость резервных копий; — Анализировать производительность: slow queries, EXPLAIN, индексы, locks, deadlocks, buffer pool, connection pool, disk IO; — Оптимизировать конфигурацию MariaDB с учётом нагрузки, объёма данных, RAM, CPU, дисковой подсистемы и сети; — Настраивать TLS/SSL для клиентских подключений и репликации; — Настраивать мониторинг, алерты, дашборды и runbook’и по MariaDB. — Участвовать в расследовании production-инцидентов, связанных с ClickHouse, MariaDB, Linux, сетью или дисковой подсистемой; — Анализировать метрики, логи, системные таблицы, состояние репликации, блокировки, диски, сеть и конфигурации; — Формулировать технические гипотезы, проверять их и отделять первопричину от сопутствующих факторов; — Готовить технические выводы по итогам инцидентов и участвовать в postmortem-разборах; — Разворачивать тестовые стенды ClickHouse и MariaDB для проверки архитектурных решений; — Проверять обновления, изменение топологии, расширение хранилища, storage policy и параметры ClickHouse / MariaDB до применения в production; — Автоматизировать типовые операции через Ansible / Bash / Python / Terraform или аналогичные инструменты; — Взаимодействовать с заказчиками, объяснять технические риски понятным языком, предлагать решения и лидировать технические обсуждения. Требования: — Практический опыт промышленной эксплуатации ClickHouse; — Понимание архитектуры ClickHouse: shards, replicas, Distributed tables, ReplicatedMergeTree, MergeTree family; — Опыт диагностики replication queue, merges, mutations, insert/select latency, деградации запросов и проблем с дисковой подсистемой; — Понимание партиционирования, ключей сортировки, TTL, storage policies, disks, volumes, data skipping indexes; — Опыт изменения топологии ClickHouse-кластера или глубокое понимание порядка и рисков таких изменений; — Опыт настройки TLS/SSL для ClickHouse; — Опыт эксплуатации MariaDB в продуктивной или близкой к продуктивной среде; — Понимание MariaDB, InnoDB, транзакций, индексов, блокировок, deadlocks, isolation levels; — Опыт настройки и диагностики репликации MariaDB; — Понимание GTID, binary logs, relay logs, replication lag, failover и рисков master-master-репликации; — Опыт настройки backup/restore MariaDB и проверки восстановимости резервных копий; — Опыт диагностики производительности MariaDB: slow query log, EXPLAIN, индексы, locks, buffer pool, disk IO; — Опыт эксплуатации Linux-серверов; — Понимание влияния CPU, RAM, disk IO, network и filesystem на работу ClickHouse и MariaDB; — Опыт настройки мониторинга и алертов для ClickHouse, MariaDB и инфраструктуры; — Опыт работы с Prometheus, Grafana, Zabbix или аналогичными системами мониторинга; — Опыт автоматизации через Ansible, Bash, Python или аналогичные инструменты; — Умение аккуратно проводить изменения в production: план работ, оценка рисков, rollback-план, проверка результата; — Умение писать техническую документацию: инструкции, runbook’и, чек-листы, postmortem-отчёты. Желательные требования: — Опыт или уверенное понимание Galera Cluster; — Опыт эксплуатации ClickHouse и MariaDB в составе SIEM, SOC, log management, observability, telemetry или других высоконагруженных систем; — Опыт работы с большими объёмами данных: десятки или сотни ТБ; — Опыт работы с ClickHouse Keeper или ZooKeeper; — Опыт эксплуатации ClickHouse / MariaDB на bare metal; — Опыт работы с LUN, DAS, локальными дисковыми массивами и S3-совместимыми объектными хранилищами; — Опыт нагрузочного тестирования ClickHouse и MariaDB; — Опыт построения процедур disaster recovery; — Опыт подготовки архитектурных и эксплуатационных документов для заказчиков; — Опыт работы с ProxySQL, MaxScale, HAProxy, Keepalived, Pacemaker / Corosync или аналогичными решениями; — Опыт проведения регламентных работ с минимальным downtime; — Опыт аудита продуктивных инсталляций у заказчиков. Условия: — Постоянная занятость; — Работа с продуктивной, тестовой и лабораторной инфраструктурой; — Взаимодействие с командой эксплуатации, инженерами SIEM, разработчиками, архитекторами и техническими представителями заказчика; — Участие в планировании изменений, разборе инцидентов и развитии архитектуры хранения данных.