Вакансии

Команда занимается разработкой NLP-моделей и решений на основе LLM для операционных рисков. Решаем задачи по построению AI-агентов и мультиагентных систем. Примеры: система гардрейлов (в том числе на Jev-like моделях) для защиты LLM и AI-агентов Сбера от промпт-атак и джейлбрейков агентная память банка на базе темпорального графа знаний, учитывающего версии и изменения внутренней документации во времени Harness, который автономно превращает DS-код в продакшн-сервис — от сборки проекта по стандарту и интеграций до деплоя на стенды и тестирования AI-агенты для оценки рисков компаний экосистемы Сбера по внутренним документам, новостям, отчетности и описанию бизнес-процессов мультиагентная система по анализу репозиториев кода на уязвимости бизнес-логики и сверки с требованиями AI-агент DataEngineer для автономного анализа данных, поиска ошибок и аномалий, создания проверок качества данных, создания выгрузок и витрин. Задачи: — разработка PoC и MVP AI-агентов с использованием фреймворков для работы с LLM — адаптация и дообучение LLM на внутренних и внешних данных (SFT, LoRA, DPO, GRPO) — участие в выводе AI-агентов в продакшн, их интеграции и мониторинге качества — написание качественного кода и обсуждение технических решений с командой. Требования: — неоконченное высшее техническое образование с хорошей подготовкой в области математики и алгоритмов — знание Python, статистики и ML/DL-стека — опыт проектирования и обучения нейросетей: от CNN/RNN до трансформеров — опыт построения RAG-систем (классический RAG, GraphRAG, Agentic RAG) — опыт разработки автономных AI-агентов (LangChain, LangGraph, Deep Agents) — знание классических алгоритмов и структур данных, принципов ООП и паттернов проектирования — умение писать чистый и поддерживаемый код (Clean Architecture, SOLID) — опыт работы с Git. Преимуществом будет: — опыт работы с FastAPI, Docker, vLLM, Unsloth, Langfuse — успехи в соревнованиях (например, Kaggle Expert+ или призовые места на хакатонах) — вклад в open-source проекты, публикация моделей и датасетов на Hugging Face — погружённость в тренды индустрии, интерес к свежим статьям и новым инструментам — знание других языков программирования (например, C++, Java). Условия: — оплачиваемая стажировка — возможность выбрать удобный график – офис или гибрид (локация: м. Кутузовская) — корпоративный спортзал и зоны отдыха.

Задачи: — разработка, тестирование и внедрение ИИ-агентов (в том числе LLM-as-a-Judge) и классических ML-моделей для оценки качества, детекции аномалий, прогнозирования деградации и автоматической локализации причин сбоев — исследование и внедрение новых подходов в области настройки LLM, LLM-as-a-Judge и RAG, чтобы сделать мониторинг точнее, стабильнее и понятнее — ведение проекта по полному циклу: от идеи и прототипа до рабочего решения в проде, его тестирования и поддержки — проектирование пайплайнов для работы с данными (трейсами агентов) и обучения моделей, интегрируя их в нашу MLOps экосистему — взаимодействие с командами разработки и валидации ИИ-агентов, MLOps для интеграции решений и формирования лучших практик. Требования: — глубокое знание математической статистики, алгоритмов классического ML и архитектур нейросетей — опыт работы от 5 лет в роли Data Science / Machine Learning с полным циклом разработки — от исследований и прототипирования до внедрения в прод и мониторинга — опыт проведения аналитических исследований (R&D): умение самостоятельно изучать проблемную область, формулировать и проверять гипотезы, выбирать и адаптировать state-of-the-art методы под задачи проекта — уверенное владение стеком технологий для анализа, экспериментов и разработки: NumPy, Pandas, Polars, Scikit-learn, XGBoost, LightGBM, CatBoostOptuna / Hyperopt — навык написание чистого, модульного кода на Python, понимание принципов SOLID, опыт работы с Git. Будет преимуществом: — опыт разработки ИИ-агентов / агентных систем, понимание принципов их работы, коммуникации и оркестрации — опыт работы с трейсами и метаданными ИИ-агентов (OpenAI, Arize Phoenix, LangSmith) — опыт работы с векторными базами данных — знание observability-стека (OpenTelemetry, Prometheus, Grafana) для мониторинга ML-систем — публикации или значимый вклад в open-source в области ML/NLP/LLM. Условия: — комфортный современный офис: г. Москва, метро Кутузовский пр. — формат работы– офис, по согласованию с руководителем возможно выполнение пула задач в гибридном формате — ежегодный пересмотр зарплаты, годовая премия — корпоративный спортзал и зоны отдыха — более 400 образовательных программ СберУниверситета для профессионального и карьерного развития — программа адаптации и помощь руководителя на старте — расширенный ДМС (медицинское страхование), льготное страхование для семьи — ипотека для сотрудников — бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров — вознаграждение за рекомендацию друзей в команду Сбера.

Задачи: — Разработка детальных планов реализации проектов: декомпозиция задач, распределение ресурсов, определение критического пути; — Контроль соблюдения сроков, бюджета и качества результатов по всем активным проектам; — Организация и ведение операционной деятельности команды: дейли-митинги, спринт-планирования, ретроспективы, проведение демо для заказчика; — Постановка задач ML-инженерам, Data Scientists и DevOps-специалистам; — Контроль качества и сроков исполнения; — Сбор и формализация бизнес-требований, перевод бизнес-проблем в технические задачи с определением метрик эффекта и критериев приёмки; — Управление ожиданиями стейкхолдеров: регулярные статус-отчёты, презентации результатов, обоснование технических решений; — Организация процессов тестирования, валидации и мониторинга ML-моделей в продуктовой среде; — Защита метрик качества перед заказчиком; — Ведение проектной документации в соответствии с принятыми стандартами и регламентами компании. Требования: — 7+ лет общего опыта в IT-проектах, из них не менее 3 лет — в управлении проектами с применением AI/ML (LLM/NLP, NLP, CV или оптимизационное моделирование); — Подтверждённый опыт управления кросс-функциональными командами; — Опыт ведения переговоров с корпоративными заказчиками и защиты результатов проектов; — Полный цикл управления проектом: планирование, постановка задач, контроль сроков, бюджета и качества; — Умение переводить бизнес-проблемы в технические задачи: формулировка AI гипотез, определение метрик успеха, критерии приёмки; — Опыт оценки трудозатрат для комплексных AI-проектов, включая работы по разметке данных, обучению моделей и MLOps-инфраструктуре; — Управление рисками и изменениями: выявление, оценка, приоритизация, разработка планов митигации; — Инструменты управления: Jira, Confluence или аналоги для трекинга задач, ведения документации и управления бэклогом; — Понимание полного жизненного цикла ML-проекта: сбор данных, разметка, обучение, валидация, деплой, мониторинг; — Понимание принципов работы LLM, GenAI, RAG и агентных систем — на уровне, достаточном для оценки рисков и постановки задач команде; — Понимание принципов MLOps: CI/CD для моделей, версионирование данных, автоматизация пайплайнов. Будет плюсом: — Опыт внедрения AI-решений в регулируемых отраслях (нефтегаз, финансы, государственный сектор); — Понимание архитектуры данных: хранилища данных, data pipelines, feature store; — Опыт формирования и масштабирования AI-команд; — Базовые знания SQL для самостоятельной работы с данными и понимания задач команды. Условия: — График работы: 5/2 с 09:00 до 18:00 (в пятницу до 16:45); — Работа в аккредитованной Минцифры ИТ-компании; — Конкурентоспособная заработная плата (обсуждается по результатам собеседования); — Соцпакет: программа ДМС со стоматологией, корпоративная мобильная связь, санаторно-курортное лечение; — Возможность расти как вертикально, так и повышать уровень своих профессиональных и деловых компетенций; — Внутреннее обучение: конференции, тренинги, мастер-классы, корпоративный университет; — Внешнее обучение по направлению профессиональной деятельности; — Возможность присоединиться к спортивным командам по мини-футболу, баскетболу, волейболу или чирлидингу; — Корпоративная электронная библиотека; — Комфортный офис в бизнес-центре «NordStar» с удобным расположением (5 мин пешком от метро «Беговая», МЦД-1).

Задачи: — Разработка backend-сервисов на Python: API, интеграции, фоновые и долгие задачи; — Подключение языковых моделей по API и сборка на них прикладных сценариев для внутренних и клиентских продуктов; — Проектирование архитектуры решений (очереди, хранение результатов, интеграции); — Ведение технической экспертизы и участие в развитии команды. Требования: — Опыт коммерческой разработки на Python от 5 лет; — Опыт FastAPI и asyncio; — Уверенное владение PostgreSQL; — Опыт очередей или фоновых воркеров; — Понимание, как вызывать LLM как внешний сервис (таймауты, ошибки, ограничения); — Опыт проектирования архитектуры и интеграции сложных сервисов; — Docker; — Желание делиться экспертизой и развиваться в области AI. Будет плюсом: — Объектные хранилища; — Опыт RAG или векторного поиска. Условия: — Работа в аккредитованной IT компании; — Официальное трудоустройство в соответствии с ТК РФ; — Гибкое начало рабочего дня и возможность работать в удаленном, гибридном или офисном формате; — Компенсация спорта и ДМС; — Компенсация больничного 100%; — Внешнее обучение и сертификация за счет компании; — Участие в профильных мероприятиях (митапы, конференции, семинары, выставки); — Система наставничества и обучение внутри компании; — Бонусы от компании на знаковые даты и события; — Корпоративные мероприятия и различные активности.

Задачи: — Проектировать и разрабатывать AI-агентов: реализовывать сценарии, оркестрацию, tool calling и интеграции с внутренними сервисами — Превращать прототипы и модели Data Science в надёжные промышленные решения: упаковывать, встраивать в сервисы и пайплайны, версионировать и сопровождать — Разрабатывать на Python сервисы, библиотеки и пайплайны, писать автотесты и участвовать в код-ревью — Проектировать, строить и сопровождать витрины данных для ML-моделей и агентов — Обрабатывать большие объёмы данных с помощью SQL, Hadoop и Spark, оптимизировать запросы и вычислительные задачи — Обеспечивать качество и наблюдаемость решений: логирование, мониторинг, обработку ошибок и контроль качества данных Требования: — Опыт промышленной разработки на Python от 2 лет — Умение писать поддерживаемый код: типизация, тестирование, обработка ошибок, логирование и работа с зависимостями — Уверенное владение SQL: сложные запросы, оконные функции, оптимизация и работа с большими наборами данных — Опыт построения и сопровождения ETL/ELT-пайплайнов и витрин данных — Опыт вывода сервисов, моделей или data-продуктов в промышленную эксплуатацию — Понимание принципов работы AI-агентов: оркестрация, tool calling, управление состоянием и интеграция с API — Понимание жизненного цикла ML-модели — от артефакта и данных до инференса, мониторинга и обновления Будут плюсом: — опыт с LangGraph, LangChain, LlamaIndex или собственными оркестраторами — LLM, RAG и векторные хранилища — оркестрация в Airflow — Kafka и событийные архитектуры — Docker, CI/CD и Kubernetes — Hadoop и Spark — внедрение ML/LLM-сервисов во внутреннем контуре — опыт в банковском домене или продуктах для юридических лиц

Задачи: — Готовить данные (API, SQL, файлы) и собирать прототипы для AI-ассистента до передачи в продакшен. — Подготавливать контекст для RAG, тестировать поиск и сопоставление сущностей. — Формировать golden dataset и автоматизировать тестирование ассистента (массовый прогон сценариев). — Считать метрики качества (retrieval, hallucinations) и локализовывать причины ошибок. Требования: — 5+ лет опыта в Data Engineering / разработке аналитических решений. — Уверенный Python и SQL, опыт с API, ETL/ELT, DWH. — Понимание принципов LLM, RAG, retrieval, embeddings (опыт работы — жирный плюс, но если глубоко погружен в тему — welcome). — Умение быстро собирать PoC, исследовать источники и находить нестандартные решения. Условия: — Удалёнка из любого города РФ или офис по желанию. — Оформление по договору ИП. — Зарплата 350 000 – 400 000 ₽ Gross.

Задачи: — Разрабатывать backend на Laravel — Проектировать и описывать отказоустойчивую бизнес-логику на PHP 8.x с использованием возможностей Laravel — Оркестрировать ИИ через Dify — Развертывать, конфигурировать и интегрировать Dify (Workflow, Agents, RAG); связывать backend приложения с Dify API — Проектировать и разрабатывать API — Создавать чистые, документированные RESTful/gRPC контракты для мобильных и веб-клиентов компании — Управлять асинхронными процессами — Оптимизировать тяжелые запросы к LLM через очереди (Laravel Queues/Horizon), настраивать потоковые передачи ответов (Server-Sent Events / Стриминг) — Проектировать и оптимизировать схемы реляционных баз данных под хранение истории диалогов, контекста, логов и сессий ИИ — Писать Unit/Feature тесты (Pest/PHPUnit) — Участвовать в Code Review и поддерживать высокие стандарты кодовой базы Требования: — Опыт коммерческой разработки на PHP от 4 лет, из которых не менее 2 лет - активная работа с фреймворком Laravel — Глубокие знания баз данных и систем кэширования: уверенное владение и глубокое понимание принципов работы Redis и PostgreSQL — Асинхронное взаимодействие: глубокое понимание принципов асинхронного взаимодействия сложных систем — Экспертиза в асинхронности — Глубокое понимание работы очередей, планировщиков задач (Cron) и паттернов обработки долгоживущих соединений — Уверенные знания SQL — Опыт оптимизации сложных запросов, индексации таблиц и проектирования архитектуры данных для высоконагруженных систем — Будет плюсом: — Наличие опыта интеграции Dify (или аналогичных LLM-оркестраторов вроде Flowise/Langhope) в реальных проектах — Понимание специфики LLM — Понимание принципов работы языковых моделей, токенизации, контекстных окон, логики работы эмбеддингов и семантического поиска Условия: — Оформление в аккредитованную ИТ-компанию — График 5/2 с гибким началом — Формат работы: гибрид или офис (Москва, Краснодар), удалённо из других городов РФ

Задачі: — Вести AI-проєкти від збору вимог до запуску готового рішення — Аналізувати бізнес-потреби та знаходити можливості для автоматизації — Створювати рішення з Prompt Engineering, AI Agents, RAG та Generative AI — Тестувати нові моделі й інструменти, оптимізувати промпти та запускати proof of concept — Координувати роботу junior-колег, перевіряти результати й ділитися практиками з командою Требування: — Близько 2 років практичного досвіду з AI-інструментами, продуктами або рішеннями — Впевнені навички роботи з Generative AI, LLMs, Prompt Engineering, AI Agents і RAG — Досвід автоматизації workflow та самостійного ведення проєктів — Англійська на рівні B2 або вище — Аналітичне мислення, сильна комунікація та бажання постійно тестувати нові технології Умови: — Інноваційні AI-проєкти з помітним впливом на бізнес — Віддалену роботу або комфортний офіс у Львові — Свободу експериментувати та допомагати формувати майбутні AI-рішення — Персональний план розвитку, менторинг і курси англійської та польської мов — Офіційне працевлаштування, щорічний перегляд винагороди та кар’єрних перспектив

В роли Python-разработчика предстоит создавать и совершенствовать высоконагруженные сервисы и платформенные решения на Python, участвовать в проектировании и улучшении архитектуры продуктов совместно с командой, а также оптимизировать производительность сервисов и автоматизировать процессы разработки. Работа включает взаимодействие с базами данных, распределёнными системами и современными инструментами разработки, участие в code review, обсуждение технических решений и развитие инженерных практик. Влияние на развитие продуктов охватывает все этапы — от проектирования до сопровождения. Кандидат должен хорошо владеть Python и понимать его принципы работы, иметь опыт участия в code review, разбираться в многопоточности и асинхронном программировании, писать читаемый и поддерживаемый код, а также иметь опыт работы с базами данных и понимание их принципов. Знание инструментов наблюдаемости, таких как логирование, метрики и трассировка, а также понимание принципов ООП, SOLID и основ функционального программирования являются обязательными. Дополнительным преимуществом будет опыт проектирования распределённых систем, работа с Kubernetes, внедрение AI-решений или интерес к AI, LLM и RAG, а также участие в улучшении процессов разработки и развитии продуктовых решений. Работа выполняется в удалённом формате.

Задачи: — Разрабатывать и улучшать RAG-приложения: chunking, embeddings, retrieval и reranking. — Строить LLM-воркфлоу и агентов с использованием LangChain, LangGraph, LlamaIndex, CrewAI или аналогичных. — Разрабатывать переписывание запросов, классификацию намерений, маршрутизацию и структурированное извлечение. — Интегрировать LLM API/модели в производственные системы. — Работать с OpenAI, Gemini, Hugging Face и PyTorch. — Вносить вклад в SFT, LoRA, QLoRA, PEFT и оценку LLM. — Работать с OCR, PDF/DOCX, STT и памятью для диалогов. — Создавать API с Python / FastAPI и работать с Docker, Git, тестированием и CI/CD. — Мониторить и улучшать качество моделей, задержки и стоимость. — Брать ответственность за отдельные функции/компоненты под наставничеством старшего инженера. Требования: — 2–4 года опыта в NLP / ML / Information Retrieval / Applied AI. — Сильные навыки Python. — Практический опыт с LLM / RAG / AI-agent приложениями. — Понимание трансформеров, embeddings, prompting, retrieval, chunking и reranking. — Опыт с LangChain / LangGraph / LlamaIndex / CrewAI. — Опыт с Qdrant / Pinecone / Milvus / Weaviate / Elasticsearch. — Опыт с OpenAI / Gemini / Hugging Face и знание PyTorch. — Понимание оценки LLM и снижения галлюцинаций. — Навыки FastAPI, REST, Docker, Git. — Многоязычный NLP будет плюсом. — Профессиональный английский. Желательно: — Знания SFT / LoRA / QLoRA / PEFT. — Знания BM25 / RRF. — Опыт с RAGAS / DeepEval / LangSmith / Langfuse. — Опыт с OCR/STT. — Опыт с Graph RAG. — Опыт с vLLM/TGI/Triton. — Оптимизация под GPU. — Знание корейского языка. Условия: — Работа в Инчхоне, Южная Корея. — Полная занятость. — Формат работы: офис / гибрид. — Конкурентная зарплата, обсуждается индивидуально. — Возможна поддержка с визой и релокацией.

Задачи: — Разрабатывать и поддерживать бэкенд‑сервисы для ИИ‑агентов на базе Yandex AI Studio (агенты, RAG, инструменты, автоматизации). — Интегрировать агентов с внутренними системами через REST API (тикет‑системы, внутренние сервисы): обработка запросов, авторизация, ошибки, retry, логирование. — Строить и поддерживать пайплайны обновления RAG‑баз: загрузка/парсинг документов, генерация эмбеддингов, идемпотентные апдейты векторной базы, логирование изменений. — Организовывать автоматическую оценку качества агентов (eval‑harness): подготовка тестовых наборов, прогон запросов, расчёт метрик, отчёты о регрессиях. — Проводить анализ логов/трейсов работы агентов: базовые метрики, выявление проблемных сценариев, формулировка гипотез и приоритетных улучшений. — Обеспечивать надёжность и наблюдаемость: внятные логи, метрики, обработка ошибок, стабильность при повторных запусках. — Взаимодействовать с командой по требованиям, документации и интеграциям; при необходимости поддерживать и дорабатывать существующие скрипты/сервисы. Требования: Обязательные: — Уверенный Node.js, умение писать чистый, тестируемый код, работать с асинхронностью/конкурентностью. — Понимание принципов работы RAG: загрузка/парсинг документов, эмбеддинги, векторные базы, стратегии апдейтов. — Опыт работы с REST API: заголовки, тело, авторизация, обработка ошибок; базовое понимание CI/CD. — Навыки работы с данными: JSON/CSV, базовая нормализация и дедупликация, написание простых скриптов/утилит. — Готовность разбираться в логах/трейсах, считать метрики и предлагать улучшения. — Опыт работы с sql база данных. Будет плюсом: — Опыт с Open WebUI (кастомные функции/интеграции) и Yandex AI Studio (агенты, RAG, инструменты). — Знакомство с Python на уровне чтения/поддержки скриптов (для взаимозаменяемости и миграции). — Работа с ITSM/тикет‑системами (Jira и аналоги), LDAP/AD, Nginx, Linux/Windows Server. — Навыки документирования (требования, схемы в Mermaid/PlantUML/C4). Условия: — Работа в аккредитованной IT-компании. — Различные форматы работы: гибрид / офис / удалённый формат. — Возможности для профессионального и карьерного роста: карьерные треки. — Внутреннее и внешнее обучение. — Расширенная программа лояльности и скидки на услуги и товары Рольф, и партнеров (фитнес, изучение языков, кэшбэки, библиотеки профессиональной литературы и др.).

Location: Remote - Canada What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: AI agents at Honeycomb investigate, reason, and act on real observability data. They live in Canvas: the agentic workspace where engineers go to understand their systems. The Agentic Intelligence team has shipped Canvas, the Honeycomb MCP server, and the Canvas Agent and Canvas Skills surfaces. What we're looking for today is someone who brings deep agent expertise and uses it to expand what the team can build: new agents, new surface area in Canvas, memory, spatial awareness, improved performance on our Bedrock loop. Honeycomb's data store is fast and accepts high cardinality data; that's what makes agents built on top of it different from anything built on a conventional observability backend. This role is about taking advantage of that building agents that can do things no other observability product can do because the underlying data makes it possible. Some of this work will start as a prototype. The expectation is that the code makes it through the full arc, from the rough first version through to something that holds up in production. What you'll do Design and deliver production-grade agents. Build agents that investigate, reason, and act on live observability data inside Canvas. These agents must be trustworthy to engineers in high pressure situations, including mid-incident. Take one from rough first version to something that holds up under production traffic. Own the agent work; support the whole product. Scope, build, ship, and maintain the agents including the evals that tell you whether they got better or are just different. This role is agent-focused and also includes some fullstack development. Build agents only Honeycomb can build. Use a data store that returns high-cardinality queries in seconds to reason over signal a conventional backend can't serve at this fidelity correlating across services, drilling into a single trace, comparing before and after a deploy. Extend the surface, and decide what's next. Ship new capability into Canvas, the MCP server, and Canvas Skills memory, spatial awareness, a faster Bedrock loop and make the case for what comes after with working code. Distinguish hype from signal in a field with plenty of both. Define what "good" means for agents here. Set the bar: measurable against real evals, maintainable, and honest about their limits. Example projects Multiple agents collaborating on one shared Canvas investigation each claiming a hypothesis, publishing findings, and narrowing the search space for the others so it resolves faster (blog). Auto-investigation the moment an SLO burn alert fires the agent forms hypotheses and prepares visualizations before a human looks, cutting mean-time-to-insight for on-call (o11ycon 2026). Skills that encode a team's domain expertise e.g. Kubernetes thresholds so agents and human colleagues can lean on them (o11ycon 2026). What you'll bring: AI and agent engineering experience. You've shipped LLM-based systems people relied on in production not demos, not fine-tuned models in a research context. You know where agent systems break and how to design around it. End-to-end ownership. On a small team there's no handoff queue. You can take something from rough prototype to production-grade without needing someone behind you to do the durable engineering. Current judgment, not just past experience. You have informed opinions about what's shifted in agent design in the last six to twelve months that would change how you'd build today. Agent architecture depth. You understand how a fast, high-cardinality data store changes what an agent can reason about, and how to design for that. Product judgment. You can look at what the agent layer does today and see what it should do next and make that case with a prototype, not a deck. Even better Observability or developer-tools background. Engineers are your users; you'll ramp faster with fluency in that world, and the work is better. Familiarity with eval frameworks, agent tooling, RAG, and prompt engineering. Base Salary based on level of experience $250,000 — $280,000 CAD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: Hybrid - SF Bay Area Location: Hybrid- San Francisco OR Palo Alto Office, Tuesday/Thursday Job Type: Full-time W2 About Midi Health Midi Health is the largest virtual care clinic for women in midlife navigating perimenopause, menopause, and other hormonal transitions. We combine expert clinicians, evidence-based protocols, and a modern technology platform to deliver care that has historically been underserved by the healthcare system. We're a fast-growing, mission-driven company building the infrastructure and products that define this new category of care. How We Work Hybrid by design. Two days a week in-office (Tuesday and Thursday) in Palo Alto or San Francisco. We believe high-trust teams are built in person and scaled remotely. AI-native engineering. We expect every engineer to be fluent with modern AI coding tools (Claude Code, Cursor, Copilot, and similar) and to actively push the frontier of how we build software. Low-ego, high-curiosity. We approach disagreement with humility and technical rigor, not politics. We invest in each other's growth. Outcome-oriented. We move fast, own our work end-to-end, and balance speed with the durability that healthcare demands. The Difference You Will Make AI is reshaping how clinical care is delivered, and Midi is building the products at the frontier of that shift. You'll build AI-powered features and systems that genuinely change clinician and patient experience — from clinical workflow automation to patient-facing assistants to back-office intelligence — grounded in the realities of healthcare-grade safety and evaluation. What You Will Do Design, build, and ship LLM-powered features end-to-end: prompt design, retrieval, tool use, agents, evaluation, and production operations Build the evaluation harnesses and feedback loops that let us ship AI features responsibly Integrate AI capabilities deeply into patient, clinician, and operational workflows Partner with clinical, product, and safety stakeholders to define what "good" looks like Contribute to our internal AI-for-engineering practices and tooling Stay close to the research and ecosystem; bring the best of it back to the team About You 6+ years of software engineering experience, with meaningful recent time building production LLM / ML features Strong hands-on coding skills in Python; comfortable across the full stack when the feature demands it Seasoned at system design for AI systems: retrieval, orchestration, caching, evaluation, cost and latency tradeoffs Deep, hands-on command of modern AI coding tools — you're a strong follower of the frontier and apply new techniques quickly Good mentorship instincts; generous with what you learn Rigorous about evaluation and safety; allergic to vibes-only launches Strong communicator; comfortable explaining model behavior to non-technical stakeholders Low-ego, curious, humble Nice to Have Experience with healthcare, clinical NLP, or regulated AI deployments Experience building agentic systems or production RAG at scale Interview Process Recruiter Screen (30 min) Hiring Manager Screen (45 min) Live Technical Assessment (3 sessions: 150 min) On-Site Interview and Lunch (4 sessions: 150 min) While you are waiting for us to review your resume, here is some fun content to check out. Midi 2024 in Review Women Leaders Invest in Midi Patient Testimonials At Midi Health, we are committed to pay transparency and equity. The estimated salary range for this role is $170,000-$210,000 per year, based on factors such as experience and skills. In addition to base salary, employees are eligible for a wide range of benefits and equity in the company, We believe in fair and competitive compensation practices that align with our values of equity and inclusion. If you have any questions about how we determine pay, we’re happy to discuss further in the hiring process. #li-ps1 At this time, Midi is unable to provide visa sponsorship. All Candidates must be authorized to work in the United States without current or future sponsorship needs. Please note that all official communication from Midi Health will come from an @joinmidi.com email address. We will never ask for payment of any kind during the application or hiring process. If you receive any suspicious communication claiming to be from Midi Health, please report it immediately by emailing us at careers@joinmidi.com . Midi Health is an Equal Opportunity Employer. We are committed to pay equity and ensure that all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Our compensation philosophy is based on fair, objective criteria and the impact of the role, regardless of an applicant’s salary history. Please find our CCPA Privacy Notice for California Candidates here .

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: Toronto, Canada About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. We’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices.  Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services,  Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role will require travel up to 20–50% to attend customer meetings, conferences, industry events, and other in-person team meetings, within the assigned territory. For this reason, candidates must have reliable personal or local public transportation to complete all required travel. Required travel is reimbursable in accordance with the Company's Travel & Expense Policy, as it may be amended from time to time. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: Toronto, Canada About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. We’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices.  Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services,  Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration. Compensation This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Hybrid - SF Bay Area Location: Hybrid- San Francisco OR Palo Alto Office, Tuesday/Thursday About Midi Health Midi Health is the largest virtual care clinic for women in midlife navigating perimenopause, menopause, and other hormonal transitions. We combine expert clinicians, evidence-based protocols, and a modern technology platform to deliver care that has historically been underserved by the healthcare system. We're a fast-growing, mission-driven company building the infrastructure and products that define this new category of care. How We Work Hybrid by design. Two days a week in-office (Tuesday and Thursday) in Palo Alto or San Francisco. We believe high-trust teams are built in person and scaled remotely. AI-native engineering. We expect every engineer to be fluent with modern AI coding tools (Claude Code, Cursor, Copilot, and similar) and to actively push the frontier of how we build software. Low-ego, high-curiosity. We approach disagreement with humility and technical rigor, not politics. We invest in each other's growth. Outcome-oriented. We move fast, own our work end-to-end, and balance speed with the durability that healthcare demands. The Difference You Will Make You'll set the direction for how Midi builds with AI — across clinical workflows, patient experience, and operational intelligence. You'll own the architecture of our AI systems, the evaluation practices that keep them safe, and the standards that let every engineer at Midi ship AI features confidently. This is the role for someone who wants to define what AI engineering looks like in a modern healthcare company. What You Will Do Lead technical strategy for AI/LLM systems across Midi's product surfaces Architect retrieval, orchestration, agentic, and evaluation systems that run reliably in production Set the standards for AI safety, evaluation, observability, and responsible rollout in a healthcare context Partner with clinical, product, and executive leadership to shape the AI roadmap Mentor senior and mid-level engineers into strong AI engineers; raise the AI literacy of the whole org Lead the frontier: evaluate new models, techniques, and tools, and bring the right ones into the team About You 10+ years of software engineering experience, with deep recent time leading production AI/LLM systems Seasoned hands-on coder; still writes production Python regularly Seasoned system designer for AI systems at scale — retrieval, agents, evaluation, latency, and cost Authority in AI engineering: teams and leaders defer to your judgment, and you can defend it rigorously Leader at the AI frontier: you set how the team uses AI tooling and how we build AI products Seasoned mentor; you've grown engineers into strong AI builders Strong communicator with product, clinical, and executive stakeholders; thoughtful about risk and safety tradeoffs Low-ego, curious, humble Nice to Have Healthcare, clinical NLP, or regulated AI deployment experience Track record of shipping agentic or large-scale RAG systems in production Interview Process Recruiter Screen (30 min) Hiring Manager Screen (45 min) Live Technical Assessment (3 sessions: 150 min) On-Site Interview and Lunch (4 sessions: 150 min) While you are waiting for us to review your resume, here is some fun content to check out. Midi 2024 in Review Women Leaders Invest in Midi Patient Testimonials At Midi Health, we are committed to pay transparency and equity. The estimated salary range for this role is $200,000-$250,000 per year, based on factors such as experience and skills. In addition to base salary, employees are eligible for a wide range of benefits and equity in the company, We believe in fair and competitive compensation practices that align with our values of equity and inclusion. If you have any questions about how we determine pay, we’re happy to discuss further in the hiring process. #li-ps1 At this time, Midi is unable to provide visa sponsorship. All Candidates must be authorized to work in the United States without current or future sponsorship needs. Please note that all official communication from Midi Health will come from an @joinmidi.com email address. We will never ask for payment of any kind during the application or hiring process. If you receive any suspicious communication claiming to be from Midi Health, please report it immediately by emailing us at careers@joinmidi.com . Midi Health is an Equal Opportunity Employer. We are committed to pay equity and ensure that all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Our compensation philosophy is based on fair, objective criteria and the impact of the role, regardless of an applicant’s salary history. Please find our CCPA Privacy Notice for California Candidates here .

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: Vancouver, BC About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. We’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices.  Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services,  Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role will require travel up to 20–50% to attend customer meetings, conferences, industry events, and other in-person team meetings, within the assigned territory. For this reason, candidates must have reliable personal or local public transportation to complete all required travel. Required travel is reimbursable in accordance with the Company's Travel & Expense Policy, as it may be amended from time to time. Compensation This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Задачи: — развёртывать, настраивать и сопровождать Langfuse в защищённых контурах Банка, включая настройку зависимых компонентов: PostgreSQL, ClickHouse, Redis и объектного хранилища; — организовывать интеграцию с Apache Kafka: создавать и сопровождать топики, настраивать ACL, consumer groups, retention, репликацию, DLQ/retry-механизмы, мониторить Kafka lag; — поддерживать потоки телеметрии моделей: результаты работы классических ML-моделей, LLM traces, события RAG-пайплайнов, метрики качества, технические логи и алерты; — развёртывать и эксплуатировать сервисы в Kubernetes/OpenShift: namespaces, RBAC, Secrets, ConfigMaps, Ingress, resource limits/requests, autoscaling и сетевые политики; — разрабатывать и сопровождать Helm-чарты, Kubernetes-манифесты и шаблоны конфигурации для dev/test/preprod/prod-контуров; — строить и поддерживать CI/CD- и GitOps-конвейеры: сборка, тестирование, сканирование, публикация артефактов, деплой и rollback; — автоматизировать инфраструктуру и конфигурации с использованием Ansible, Terraform или аналогичных средств; — настраивать мониторинг, централизованное логирование и алертинг: Prometheus, Grafana, Alertmanager, ELK/Opensearch или аналоги; — сопровождать и проводить первичную оптимизацию PostgreSQL, ClickHouse, Redis, Kafka, Nginx/Ingress и смежных инфраструктурных компонентов; — обеспечивать отказоустойчивость, резервное копирование, восстановление и планирование ресурсов платформы; — участвовать в разборе инцидентов, готовить RCA, runbook’и и мероприятия по предотвращению повторных сбоев; — обеспечивать требования ИБ: управление доступами, секретами, сертификатами, сетевой сегментацией, аудитом и устранением уязвимостей; — вести эксплуатационную и техническую документацию по сервисам, интеграциям и процедурам сопровождения. Требования: — опыт работы DevOps/SRE-инженером от 5-ти лет; — практический опыт эксплуатации Kubernetes или OpenShift в production-среде: Helm, RBAC, networking, autoscaling, диагностика и настройка ресурсов; — уверенное знание Linux, Docker, Git, Bash и основ сетевого взаимодействия: TCP/IP, DNS, HTTP(S), TLS, reverse proxy; — практический опыт работы с Apache Kafka: топики, партиции, репликация, consumer groups, ACL, retention, мониторинг и устранение инцидентов; — опыт построения и сопровождения CI/CD-пайплайнов на Jenkins, GitLab CI, TeamCity, Argo CD или аналогичных инструментах; — знание и практическое применение Ansible, Terraform либо других IaC-инструментов; — опыт настройки мониторинга и observability: Prometheus, Grafana, Alertmanager, централизованное логирование, трассировка; — опыт эксплуатации PostgreSQL; понимание принципов работы ClickHouse и Redis; — умение автоматизировать рутинные операции с помощью Python и Bash; — понимание принципов высоконагруженных и распределенных систем; — знание подходов к безопасной эксплуатации: управление секретами, сертификатами, доступами, уязвимостями и журналированием действий; — навыки технической коммуникации: взаимодействие с командами разработки, архитекторами, ИБ, администраторами платформы и владельцами интеграций. Будет плюсом: — опыт работы в крупных FinTech-компаниях; — знание Groovy. Условия: — уровень зарплаты обсуждается индивидуально, есть доплаты за менторство и профактивности; — долгосрочные проекты от российских заказчиков, возможность менять направления, прозрачная система Performance Review; — релокейт между офисами, выбор формата работы (удалённо, офис, гибрид), адаптация для новых сотрудников; — доступ к корпоративному порталу, митапам, конференциям (и как гость, и как спикер); — ДМС со стоматологией, частичная компенсация спорта, бесплатный английский, оплачиваемый отпуск и больничные; — тимбилдинги, детские праздники, внутренние мероприятия; — офисы в Москве, Санкт-Петербурге, Казани, Нижнем Новгороде, Самаре.