Location: Germany (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:
We’re looking for a
Senior
Solutions Architect (Professional Services)
to join Grafana Labs’ world-class Customer Experience team. This is a highly hands-on role for technically skilled professionals who thrive on helping customers solve complex problems, accelerate adoption, and drive real business outcomes with Grafana at the center.
As a Solutions Architect, you’ll be a
trusted technical partner
—not a quota-carrying seller, but a customer-first advocate who leads with authenticity and insight. You’ll guide organizations through onboarding, implementation, and expansion by offering white-glove support, best practices, and proven strategies gathered from across our customer base.
You’ll operate with one foot in the code and the other in the customer’s world. Whether it’s understanding container orchestration in Kubernetes, fine-tuning Prometheus queries, or clarifying the nuances between logs, metrics, and traces—you’ll bring clarity and confidence to complex technical landscapes. You know the difference between "pets and cattle" and why that matters for scalable observability.
You’ll deliver high-impact training, jumpstart engagements, and offer tailored technical consulting to help customers succeed. As an embedded partner during critical phases, you’ll provide roadmap assurance, guide project execution, and ensure Grafana's capabilities align with the customer’s architecture, goals, and constraints. Along the way, you’ll identify recurring issues, monitor support needs, and advocate for product improvements in close collaboration with internal teams.
Success in this role means being a strategic thinker
and
a command-line problem solver. You’re passionate about OSS, love engaging with customers, and have the instincts to manage timelines, unblock teams, and deliver value at every stage of the engagement.
Join us and help elevate the Grafana customer experience through world-class technical delivery and meaningful impact.
What You'll Be Doing:
Effective in working with customers, including business executives, project managers, and IT development staff.
Effective in understanding business needs and distilling the information into business and technical requirements.
Comfortable working with complex business and technological requirements and translating into the design of solutions, including data visualization, workflow recommendations, migrations, and enterprise scale architecture.
Ability to act as a functional lead and able to demonstrate clear approach to methodology as well as functional capabilities. Leads functional workshops with customers, documents requirements, and designs appropriate solutions.
Speed is paramount. This team is nimble and is the fulcrum to accelerate the delivery of the solution for customers.
Be a strong advocate for adherence to standards and best practices.
Stay current on Grafana Labs, observability, and related technologies.
You'll be a key resource for our Sales, Product Management, Engineering, Support, and Professional Services teams as they look to drive innovation and improvements into future product and offering enhancements.
If you enjoy working with customers to help them succeed and thrive on working with leading-edge technologies, this is the role for you.
What Makes You a Great Fit:
Located in the Germany
5+ years of experience working on deployment teams, using project management techniques.
Direct experience with o11y.
Best practices for both using and deploying an o11y stack (visualization, alerting, metrics, logs, traces) - preferably with Grafana products (Grafana, Prometheus/Cortex/Enterprise Metrics, Loki/Enterprise Logs, Jaeger/Tempo).
A proven track record of successful delivery of customer projects, preferably enterprise o11y implementations for large customers
Excellent communication skills to communicate with customers, partners, and internal members.
Kubernetes (kubectl, Helm, Tanka preferred).
Experience with Cloud Platforms - AWS, GCP, Azure
Bonus Points For:
Self-starter, adept at picking up new skills and technologies, and eager to break new ground.
Vision to help us take our company to the next level.
Compensation & Rewards:
In Germany
,
the base compensation range for this role is 109,700 EUR - 131,600 EUR. 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:
— Проводить функциональное, интеграционное, регрессионное и End-to-End тестирование.
— Тестировать Web-приложения на уровнях Frontend и Backend.
— Проводить API-тестирование с использованием Postman, Insomnia или Swagger.
— Анализировать требования, разрабатывать тест-кейсы и чек-листы, оформлять баг-репорты.
— Тестировать сложные бизнес-процессы, статусные модели и интеграции с внешними информационными системами.
— Проверять корректность обработки запросов, авторизации и передачи данных между сервисами.
— Работать с базами данных PostgreSQL, выполнять SQL-запросы и проверять корректность данных.
— Анализировать логи для выявления причин возникновения ошибок.
— Взаимодействовать с разработчиками, аналитиками и другими участниками команды для устранения дефектов.
— Участвовать в планировании спринтов и совершенствовании процессов обеспечения качества ПО.
Требования:
— Опыт работы от 3 лет.
— Уверенное знание теории тестирования, техник тест-дизайна и жизненного цикла разработки и тестирования ПО (SDLC/STLC).
— Опыт функционального, интеграционного, регрессионного и E2E-тестирования.
— Опыт тестирования Web-приложений (Frontend и Backend).
— Понимание REST API, HTTP/HTTPS, методов запросов, статус-кодов, заголовков и механизмов авторизации.
— Уверенное владение Postman, Insomnia или Swagger.
— Знание SQL и опыт работы с PostgreSQL: SELECT, JOIN, GROUP BY, фильтрация и сортировка.
— Опыт работы с DBeaver или аналогичными инструментами.
— Уверенное использование DevTools для анализа работы Web-приложений.
— Базовые навыки работы с Linux и терминалом.
— Понимание принципов работы SSH, VPN и SSH-туннелей.
— Опыт анализа логов через Kibana или аналогичные системы.
— Базовое понимание Docker, Kubernetes, CI/CD и процессов развёртывания приложений.
— Аналитическое мышление, внимательность к деталям и системный подход к поиску дефектов.
Будет преимуществом:
— Опыт работы с ЭЦП и NCALayer.
— Понимание криптографических алгоритмов RSA, ГОСТ и механизмов хеширования SHA-256.
— Опыт тестирования интеграций с государственными информационными системами и внешними сервисами.
— Понимание микросервисной архитектуры.
— Навыки автоматизации тестирования.
— Базовые знания Git и одного из языков программирования: Python, Java или JavaScript.
Личные качества:
— Ответственность и внимательность к деталям.
— Аналитическое и критическое мышление.
— Умение работать в команде.
— Самостоятельность в решении задач.
— Грамотная коммуникация с разработчиками и аналитиками.
— Готовность разбираться в сложных технических вопросах.
Условия:
— Офис — г. Астана, пр. Мәңгілік Ел, 55/14.
— Полная занятость.
— График работы: 5/2, с 08:00 до 17:30.
— Лечебное пособие к ежегодному отпуску — 2 оклада.
— Аванс в середине месяца.
— Возможные премии по праздникам и итогам года.
— Материальную помощь к памятным датам.
— Комфортабельный офис в центре Астаны.
— Утреннюю и вечернюю развозку по городу.
— Возможность работать над государственными информационными системами и масштабными интеграционными решениями.
Задачи:
— Планирование и проведение внедрения инструментов хранения и обработки данных.
— Проектирование целевой архитектуры хранилищ данных.
— Анализ потоков данных и выбор релевантного инструментария.
— Проектирование пайплайнов данных, обеспечение качества данных.
— Написание DAG, кастомных операторов и интеграций на Python.
— Оптимизация SQL-запросов и настройка ресурсов кластеров.
— Организация хранения и обработки данных для OLAP/OLTP задач.
— Работа с заявками в Service-Desk, документирование технических решений.
Требования:
— Опыт работы на позиции Data Engineer от 4 лет в сфере разработки ПО.
— Уверенная работа с Postgres и MSSQL.
— Опыт настройки и оптимизации OLAP-движков (Trino, StarRocks) и современных хранилищ (Cassandra, Redis).
— Практический опыт работы с Apache Airflow (написание DAG, кастомные операторы).
— Опыт использования Apache Kafka (producer/consumer) и Apache Flink (разработка стриминговых джоб).
— Опыт работы с Apache Iceberg, понимание архитектуры lakehouse, использование Lakekeeper, работа с S3.
— Опыт реализации Change Data Capture паттернов.
— Глубокие знания архитектуры данных и баз данных, нормализация, денормализация, проектирование моделей.
— Уверенное владение Python, включая асинхронность.
— Навыки оптимизации процессов и SQL-запросов.
— Владение Jira и Confluence на уровне confident user.
— Опыт организации хранения и обработки данных с учетом требований consistency/integrity.
— Опыт работы с batch processing и CDC паттернами.
— Умение структурировать информацию, работать с требованиями, документировать решения.
— Английский на уровне чтения и написания технической документации.
Будет плюсом:
— Опыт работы с Timeseries базами данных (InfluxDB, TimescaleDB, TDengine).
— Опыт эксплуатации кластеров (Hadoop, YARN, Kubernetes) в production.
— Продвинутые знания SQL (оптимизация, window functions, CTE).
— Опыт работы с CI/CD для data-пайплайнов.
— Понимание принципов DDD, event-driven архитектуры.
— Опыт работы с Apache NiFi.
Условия:
— Удаленная работа по РФ.
— Полная занятость (full-time).
— Зарплата 270 000 - 295 000 рублей в месяц, gross.
Задачи:
— Разработка Data Pipelines: проектирование и реализация ETL/ELT-пайплайнов, построение DAG в Apache Airflow, написание кастомных операторов и сенсоров на Python, настройка ретраев, алертинга и зависимостей.
— Стриминг и батч-обработка: разработка стриминговых джоб на Apache Flink и батч-процессинга на Apache Spark.
— Оптимизация производительности: поиск и устранение узких мест, оптимизация медленных SQL-запросов (анализ execution plans, индексы, партиционирование), тюнинг конфигурации движков обработки (Flink, Spark) и баз данных для минимизации потребления ресурсов (CPU, RAM, I/O).
— Обеспечение качества данных: организация тестирования трансформаций данных, внедрение механизмов проверки целостности и актуальности данных, реализация процессов нормализации и дедупликации.
— Интеграции: разработка и поддержка интеграций между системами: REST/gRPC API, базы данных, message brokers (Kafka, MQTT), файловые хранилища (S3), Timeseries DB.
— Взаимодействие с разработчиками и тестировщиками для уточнения технических ограничений и требований.
Требования:
— Опыт работы на позиции Data Engineer от 4 лет в сфере разработки ПО.
— Опыт работы с Postgres и MSSQL.
— Опыт настройки и оптимизации OLAP-движков (Trino, StarRocks) и современных хранилищ (Cassandra, Redis).
— Практический опыт работы с Apache Airflow (написание DAG, кастомные операторы).
— Опыт использования Apache Kafka (producer/consumer) и Apache Flink (разработка стриминговых джоб, состояние, чекпоинты).
— Опыт работы с Apache Iceberg, понимание архитектуры lakehouse, использование Lakekeeper для управления метаданными, работа с объектным хранилищем S3.
— Опыт реализации Change Data Capture паттернов для синхронизации данных между системами.
— Знания в области архитектуры данных и баз данных: понимание принципов нормализации и денормализации, проектирование relational и columnar моделей, стратегии управления данными (lifecycle, retention, versioning).
— Владение Python: написание скриптов, модулей, работа с асинхронностью при необходимости; опыт написания DAG в Apache Airflow, включая кастомные операторы, hooks, sensors.
— Умение профилировать процессы, находить bottlenecks, оптимизировать SQL-запросы и настраивать ресурсы кластеров под нагрузку.
— Опыт организации хранения данных для последующих задач OLAP / OLTP с учетом требований (consistency / integrity).
— Опыт организации обработки данных в рамках задач OLAP / OLTP с применением различных паттернов (batch processing, CDC).
— Понимание ключевых особенностей и сценариев применения различных паттернов организации интеграционных потоков (batch processing, CDC) с учетом их характеристик (3V+).
— Умение структурировать информацию, работать с требованиями, документировать технические решения.
Будет плюсом:
— Опыт работы с Timeseries базами данных (InfluxDB, TimescaleDB, TDengine и др.).
— Глубокий опыт эксплуатации кластеров (Hadoop, YARN, Kubernetes) в production-среде.
— Знание SQL на продвинутом уровне (оптимизация сложных запросов, window functions, CTE).
— Опыт работы с CI/CD для data-пайплайнов.
— Понимание принципов DDD, event-driven архитектуры.
— Опыт работы с Apache NiFi.
Задачи:
— Разрабатывать и поддерживать сервисы и API на C# / .NET
— Разрабатывать интерфейсы на React или Vue — в зависимости от проекта
— Участвовать в проектировании архитектуры и выборе технических решений
— Писать поддерживаемый, тестируемый и понятный код
— Проводить code review и помогать команде расти
— Работать с базами данных, очередями, кэшами, внешними API
— Участвовать в CI/CD, деплое и мониторинге
— Декомпозировать задачи, оценивать сроки и влиять на технические решения
— Для Senior — брать техническое лидерство, менторить команду и влиять на развитие продукта
Требования:
— Опыт коммерческой разработки: от 3–4 лет для Middle+, от 5+ лет для Senior
— Уверенный C# / .NET: .NET 6+, ASP.NET Core, Entity Framework Core
— Опыт разработки REST API, понимание HTTP, JSON, аутентификации и авторизации
— Уверенное владение одним из фреймворков: React или Vue — компонентный подход, хуки / composition API, state management
— TypeScript — уверенное использование
— Опыт работы с базами данных: PostgreSQL, MS SQL, MySQL или аналоги
— Понимание SQL и умение писать запросы
— Опыт с Docker, Git, Linux, CI/CD
— Опыт написания тестов: xUnit/NUnit, Jest/Vitest и аналоги
— Понимание принципов SOLID, паттернов проектирования и чистого кода
— Технический английский — чтение документации, переписка, созвоны
Будет плюсом:
— Опыт коммерческой разработки и на React, и на Vue
— Опыт миграции между фреймворками (Vue → React, React → Vue)
— Fullstack-опыт: самостоятельная разработка от API до интерфейса
— Микросервисная архитектура, gRPC, GraphQL
— Kafka, RabbitMQ, Redis, NATS
— Kubernetes, Helm, Terraform, Ansible
— Cloud: AWS / Azure / GCP / Yandex Cloud
— Опыт высоконагруженных систем
— Опыт миграций, работы с легаси, монорепозиториями
— Опыт в финтехе, e-commerce, SaaS, ML, DevTools
— Вклад в open source
— Опыт менторства, техлидства, архитектурных ревью
— Английский B2+
— Опыт работы в продуктовых командах и/или стартапах
Условия:
— Полная занятость
— График: 5/2
— Формат работы: удалённо
Контакты для отклика: info@it-implant.ru
Задачи:
— Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants.
— Develop recommendation, ranking, classification, and predictive ML models.
— Own end-to-end ML pipelines from data processing and training to deployment and monitoring.
— Build MLOps / GenAIOps workflows, CI/CD, GPU inference, and cloud-native AI infrastructure.
— Work with Product and Engineering to measure business impact through KPIs and experiments.
— Improve AI system scalability, reliability, cost, governance, and performance.
Требования:
— 4–5+ years in AI, ML, or Data Science.
— Strong Python, SQL, and production ML experience.
— Hands-on experience with LLMs, Transformers, embeddings, RAG, and prompt engineering.
— Experience with PyTorch/TensorFlow, Hugging Face, LangChain/LlamaIndex.
— Strong knowledge of Docker, Kubernetes, MLflow/W&B, CI/CD, AWS, and Terraform.
— Experience with Kafka, ETL pipelines, vector databases, and search systems.
— Ability to independently take AI projects from idea to production.
Плюсом будет:
— Experience with A/B testing, responsible AI, recommendation systems, regulated environments, or team leadership.
— Candidate should be able to work on US time schedule.
— Good English conversation skill is much much preferred.
Задачи:
— Специалист отвечает за всю инженерию под капотом продукта: выбор базы данных, инструментов управления очередями, организация кеша, оптимизация запросов в API, работа интеграций.
— Следить за производительностью, предлагать и настраивать решения, рекомендовать стек, настраивать мониторинги и логи.
Требования:
— Умение организовывать бесшовный CI/CD для доработок дев, тест, прод.
— Умение настраивать взаимодействие внутренних компонентов системы от загрузки данных до выгрузки в смежные системы.
— Опыт проведения аудита наработок ИИ агента, формирование логического плана рефакторинга.
— Опыт настройки интеграции (nifi) и организации их настройки.
— Опыт реализации технических доработок продуктов с помощью ИИ агентов.
— Опыт работы с FastAPI, Django, PostgreSQL, Celery, Apache Airflow, JavaScript, Kubernetes, Python, Grafana.
Описание продукта:
— Система автоматического расчёта прогнозных цен для ежемесячного формирования интегрированного плана работы компании с 5 тыс. клиентов.
— Продукт покрывает весь процесс от ведения формул в контрактах до формирования цен, корректировки и выгрузки в системы планирования.
— Продукт развивается с мая, пилотный контур в ОПЭ, планируется доработка.
Условия:
— Зарплата 200 000 рублей на руки.
— Полностью удалённый формат работы.
— Режим работы с 9:00 до 18:00 по московскому времени.
— Локация любая.
— Работа с крупной IT-компанией и большой командой профессионалов.
— Обучение не предусмотрено.
— Рассматриваются только кандидаты с опытом по всем ключевым требованиям.
Требования:
— Опыт от 4 лет с Java/Scala, Apache Flink (или Beam/Spark Streaming) и Kafka
— Знание событийно-ориентированной архитектуры и потоковой обработки данных
— Опыт работы с Docker, Kubernetes, CI/CD и оптимизацией производительности JVM
— Знание SQL/NoSQL, опыт с распределёнными системами и устранения технических проблем
Задачи:
— Руководить проектированием и реализацией платформы CDS Hooks, включая оркестрацию карточек, обработку контекста хуков, логику на стороне EHR и интеграцию с сервисами данных.
— Владеть контрактами API CDS Hook, обеспечивать соответствие спецификации SMART CDS Hooks, улучшать производительность и надежность.
— Вести техническую интеграцию с EMR системами (Epic, NextGen, Athena, ECW) для обнаружения, выполнения CDS Hook, отображения карточек и обработки действий пользователей.
— Проектировать, создавать и поддерживать публичные REST и событийно-ориентированные API, предоставляющие клинические данные, метрики качества, данные о пробелах в уходе, данные атрибуции и контент поддержки принятия решений.
— Устанавливать контракты API, стратегии версионирования и политики устаревания для баланса инноваций и стабильности.
— Реализовывать и поддерживать паттерны безопасности API, включая OAuth 2.0, авторизацию на основе областей, ограничение скорости и аудит логов.
— Проектировать и оптимизировать каналы данных в реальном или почти реальном времени для CDS Hooks и API с низкой задержкой и высокой свежестью.
— Разрабатывать и внедрять комплексные тестовые и QA-фреймворки для CDS Hooks и API, включая валидацию контекста хуков, проверку отображения карточек и тестирование клинических рабочих процессов.
— Устанавливать метрики надежности и SLA для доставки CDS Hook и производительности API, измерять и отслеживать их в соответствии с клиническими требованиями.
— Определять и измерять клинические метрики влияния, такие как принятие CDS Hooks, взаимодействие клиницистов, успех интеграции рабочих процессов и влияние на результаты пациентов.
— Принимать архитектурные решения с учетом компромиссов между корректностью, задержкой, масштабируемостью, поддерживаемостью и операционными рисками.
— Проектировать и внедрять паттерны надежности для CDS и API сервисов, включая мониторинг, оповещения, обнаружение сбоев, плавное деградирование и восстановление после инцидентов.
— Сотрудничать с инженером по надежности данных для определения и эксплуатации SLA, согласованных с клиническими потребностями.
— Устанавливать и поддерживать инженерные стандарты для дизайна API, схем данных, паттернов интеграции и интероперабельности; поддерживать техническую документацию и спецификации OpenAPI.
— Сотрудничать с командой Data Engineering для согласования моделей данных, наборов данных и возможностей платформы с требованиями поддержки клинических решений и API.
— Быть техническим авторитетом по стандартам клинической интероперабельности (SMART CDS Hooks, FHIR, HL7, CDS Hooks, интеграция EHR).
— Взаимодействовать с продуктом, клиническими операциями и бизнес-стейкхолдерами для уточнения требований, трансформации клинических рабочих процессов в функции платформы и формирования направления продукта.
— Быть доверенным техническим советником для партнеров EMR, систем здравоохранения и внешних потребителей API, обеспечивать четкие и предсказуемые ожидания и поставки.
— Обеспечивать соответствие всех CDS и API сервисов требованиям безопасности, конфиденциальности и нормативным требованиям здравоохранения (HIPAA, государственные регламенты, требования плательщиков).
— Сотрудничать с командами IT Security и Compliance для реализации безопасного контроля доступа, аудита, шифрования и мер защиты данных.
— Проектировать и внедрять аудиторские следы для доступа к клиническим данным, поддерживать аудиты соответствия и нормативную отчетность.
— Наставлять членов команды через обзоры дизайна, парное программирование и архитектурное руководство по интеграции клинических данных и дизайну API.
— Документировать новые и существующие системы, дизайны, процессы и процедуры.
Требования:
— 8+ лет опыта проектирования, создания и эксплуатации API платформ, сервис-ориентированных систем или бэкенд-инфраструктуры в масштабе.
— Опыт работы на уровне старшего или ведущего специалиста с владением сложными системами от начала до конца.
— 3+ года прямого опыта интеграции данных здравоохранения, рабочих процессов EMR, обмена клиническими данными или стандартов интероперабельности здравоохранения (FHIR, HL7, CDA, данные по страховым случаям).
— 2+ года практического опыта с CDS Hooks, SMART on FHIR или аналогичными API поддержки клинических решений.
— Глубокие знания проектирования и эксплуатации REST API, включая дизайн контрактов, версионирование, обработку ошибок и паттерны аутентификации/авторизации.
— Экспертные знания интеграции данных здравоохранения, рабочих процессов EMR и паттернов интероперабельности (FHIR, HL7, CDS Hooks, SMART on FHIR).
— Опыт проектирования надежности, SLA и операционных метрик; способность переводить клинические требования в технические SLO.
— Опыт определения и измерения метрик производительности API (задержка, доступность, ошибки); знакомство с мониторингом и обеспечением SLA.
— Системное мышление с умением проектировать масштабируемые, надежные, поддерживаемые и устойчивые системы.
— Владение современными бэкенд-языками (Python, Java, Go или аналогичные); умение читать и анализировать код на разных языках.
— Опыт работы с облачными платформами (AWS, Databricks, GCP) и контейнеризированными сервисами (Docker, Kubernetes или управляемые сервисы).
— Способность эффективно взаимодействовать с инженерными, продуктовыми, аналитическими, клиническими и бизнес-командами.
— Четкие письменные и устные коммуникативные навыки, особенно для объяснения технических концепций и компромиссов клиницистам и неспециалистам.
— Умение работать в быстро меняющейся, неоднозначной среде с учетом требований соответствия и регулирования в здравоохранении.
Плюсы:
— Практический опыт реализации спецификации CDS Hooks и SMART on FHIR в продуктивных средах здравоохранения.
— Опыт внедрения и тестирования CDS Hooks в нескольких EMR системах (Epic, NextGen, Athena, ECW) с валидацией клинических рабочих процессов.
— Знание форматов и стандартов данных здравоохранения: ресурсы FHIR (Patient, Condition, Medication и др.), CCD/C-CDA, данные по страховым случаям (837s, 835s), HL7 v2 или v3.
— Опыт проектирования и эксплуатации каналов данных в реальном или почти реальном времени для клинических приложений и систем поддержки решений.
— Знание метрик ухода, основанных на ценности, пробелов в уходе, мер качества (NQF, HEDIS) и стратификации риска HCC/RAF.
— Опыт работы с платформами управления API, порталами разработчиков или экосистемами партнеров / паттернами монетизации API.
— Знакомство с OAuth 2.0, OIDC, SAML и федеративными паттернами идентификации в системах здравоохранения.
— Опыт работы с CI/CD пайплайнами, инфраструктурой как кодом и безопасными практиками деплоя.
— Опыт поддержки платформ, ориентированных на провайдеров, или внешних клинических партнеров; глубокое понимание рабочих процессов и ограничений провайдеров.
— Опыт работы в стартапе здравоохранения или быстрорастущей технологической компании в сфере здравоохранения.
— Знакомство с управлением данными здравоохранения, нормативами интероперабельности (21st Century Cures, ONC rules) и фреймворками качества клинических данных.
— Опыт работы с фреймворками тестирования API и обеспечением качества распределенных систем.
Условия:
— Конкурентная базовая компенсация.
— Потенциал годового бонуса.
— Медицинские льготы с первого дня работы.
— Программа здоровья и благополучия с выделением до $300 в квартал.
— План 401K с первого месяца работы, покрывающий 100% до 4% годовой зарплаты.
— Неограниченный или щедрый оплачиваемый отпуск "Vytal Time" и 5 оплачиваемых больничных после первых 90 дней.
— Оплата компанией краткосрочной и долгосрочной нетрудоспособности (STD/LTD).
— Современная технологическая инфраструктура.
— Возможность участвовать в создании лидера рынка в области здравоохранения с оплатой за результат.
Дополнительно:
— В процессе отбора не запрашивают дополнительную личную или финансовую информацию, не просят покупки или интервью через текстовые сообщения.
— Все коммуникации от рекрутеров приходят с домена vytalizehealth.com.
Location: Belgrade, Serbia; Cluj-Napoca, Romania; Dnipro, Ukraine; Kharkiv, Ukraine; Krakow, Poland; Kyiv, Ukraine; Larnaca, Cyprus; Lodz, Poland; Lublin, Poland; Lviv, Ukraine; Odesa, Ukraine; Remote.BG, Bulgaria; Remote.PL, Poland; Riga, Latvia; Sofia, Bulgaria; Varna, Bulgaria; Warsaw, Poland; Wroclaw, Poland; Yerevan, Armenia
We’re looking for a strong Golang Backend Engineer to join a product-focused engineering team. In this role, you’ll work closely with other engineers to build and maintain scalable backend services, improve system performance, and contribute to the overall architecture of the platform.
This is a great opportunity for someone who enjoys working in a fast-paced environment, is comfortable with modern backend technologies, and is eager to grow and experiment with new tools and approaches.
The project provides maintenance and development for a high-load platform for hotel reservations, It requires improvements and optimizations of the UI and backend functionality.
Develop and maintain backend services using Golang
Collaborate with cross-functional teams (engineering, DevOps, product)
Design and implement scalable APIs and services
Work within a microservices-based architecture
Ensure code quality through reviews and collaboration (e.g. pair programming)
Identify and resolve performance and reliability issues
Contribute to continuous improvement of engineering practices and processes
Troubleshoot and debug complex technical issues
2+ years of hands-on experience with Golang
Strong understanding of Go fundamentals, standard library, and best practices
Experience designing and working with APIs (REST and/or gRPC)
Experience with microservices architecture
Good understanding of asynchronous communication and concurrency
Solid problem-solving skills and proactive mindset
Experience working in collaborative engineering teams
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Linux environments
Experience with containers (Docker, Kubernetes) and related tools (e.g. ArgoCD)
Understanding of networking basics (routing, gateways, firewalls, etc.)
Experience with other programming languages (Java, Scala, C/C++, Rust)
Interest in the travel domain
Degree in Computer Science or a related field
Location: Belgrade, Serbia
As part of our continued growth,
Neo Group is recruiting on behalf of one of our local partners
, leveraging our network of 1,400 talented professionals across 10+ countries. Together, we are committed to delivering innovative, data-driven solutions that empower our clients and foster professional growth within a dynamic and collaborative workplace.
We are on the lookout for
a Senior System Engineer
to join our
Engineering Team.
Unlock your full potential as a
Senior System Engineer
. In this senior, hands-on role, you will help move our partner's Infrastructure & Operations toward a platform engineering model, building reusable, self-service infrastructure capabilities for databases, messaging, secrets, DNS, compute, monitoring and application environments. You won't just keep systems running; you will automate and standardize infrastructure workflows, develop internal tooling and APIs, and improve how Kubernetes, CI/CD, networking and observability work together. If you have deep Linux and Kubernetes experience, think in reusable systems rather than one-off scripts, and enjoy solving complex production issues, we would love to hear from you!
Key Responsibilities
Platform Engineering & Transformation:
Help evolve Infrastructure & Operations toward a platform engineering model.
Workflow Automation & Standardization:
Standardize and automate infrastructure workflows and reduce manual provisioning.
Core Capabilities & Provisioning:
Build reusable infrastructure capabilities for databases, messaging, secrets, DNS, compute, monitoring, and application environments.
Internal Tooling & Lifecycle Management:
Develop internal tooling, APIs, and declarative workflows for infrastructure lifecycle management.
Ecosystem & Tooling Integration:
Improve integration between Kubernetes, CI/CD, networking, secrets management, databases, and observability systems.
Architectural & Technical Design:
Participate in architecture and technical design of platform and infrastructure services.
Reliability & Performance Engineering:
Improve reliability, scalability, and operational simplicity of production infrastructure.
Troubleshooting & Incident Investigation:
Investigate complex infrastructure and production issues across Linux, networking, applications, and distributed systems.
Observability & Diagnostics:
Improve observability, diagnostics, and troubleshooting capabilities.
Cross-Functional Collaboration:
Work closely with Development, DevOps, SRE, DBA, Security, and Infrastructure units.
Documentation & Best Practices:
Standardize common infrastructure solutions and document how they should be implemented and used.
Technology Innovation & Developer Experience:
Evaluate and introduce technologies that improve developer experience and infrastructure efficiency.
Requirements
5+ years of hands-on experience in Infrastructure Engineering, Systems Engineering, SRE, DevOps, Production Engineering or similar roles.
Strong Linux administration and troubleshooting skills.
Good understanding of production infrastructure, networking and distributed systems.
Hands-on experience operating
Kubernetes in production
.
Practical experience with
Infrastructure as Code and configuration management
, using Terraform, Ansible or similar tools.
Experience with
CI/CD
and infrastructure automation workflows.
Programming or strong scripting skills in Python, Go, Java, Bash or similar.
Experience with monitoring and observability systems.
Understanding of secrets management and secure infrastructure access patterns.
Experience integrating infrastructure systems through APIs.
Ability to design reusable infrastructure solutions instead of one-off automation.
Strong systems thinking and ability to troubleshoot complex cross-system issues.
Ability and willingness to learn new infrastructure and platform technologies.
Nice to Have
Experience with
GitOps
approaches and tools.
Experience with
Crossplane, Kubernetes operators or controllers
.
Experience with
Vault
or similar secrets management platforms.
Experience with
Kafka, PostgreSQL, Redis or ClickHouse
.
Experience with
Proxmox, VMware or public cloud platforms
.
Experience developing
internal infrastructure tools, APIs or self-service capabilities
.
Soft Skills
Strong analytical thinking and technical curiosity.
Ownership and responsibility.
Pragmatic approach to automation and engineering.
Ability to work independently on ambiguous technical problems.
Good communication and documentation skills.
Willingness to remain hands-on and share technical knowledge.
Benefits
Location: Kazakhstan; Yerevan, Armenia; Uzbekistan; Tbilisi, Georgia
As part of our continued growth,
Neo Group is recruiting on behalf of one of our local partners
, leveraging our network of 1,400 talented professionals across 10+ countries. Together, we are committed to delivering innovative, data-driven solutions that empower our clients and foster professional growth within a dynamic and collaborative workplace.
We are on the lookout for
a Senior System Engineer
to join our
Engineering Team.
Unlock your full potential as a
Senior System Engineer
. In this senior, hands-on role, you will help move our partner's Infrastructure & Operations toward a platform engineering model, building reusable, self-service infrastructure capabilities for databases, messaging, secrets, DNS, compute, monitoring and application environments. You won't just keep systems running; you will automate and standardize infrastructure workflows, develop internal tooling and APIs, and improve how Kubernetes, CI/CD, networking and observability work together. If you have deep Linux and Kubernetes experience, think in reusable systems rather than one-off scripts, and enjoy solving complex production issues, we would love to hear from you!
Key Responsibilities
Platform Engineering & Transformation:
Help evolve Infrastructure & Operations toward a platform engineering model.
Workflow Automation & Standardization:
Standardize and automate infrastructure workflows and reduce manual provisioning.
Core Capabilities & Provisioning:
Build reusable infrastructure capabilities for databases, messaging, secrets, DNS, compute, monitoring, and application environments.
Internal Tooling & Lifecycle Management:
Develop internal tooling, APIs, and declarative workflows for infrastructure lifecycle management.
Ecosystem & Tooling Integration:
Improve integration between Kubernetes, CI/CD, networking, secrets management, databases, and observability systems.
Architectural & Technical Design:
Participate in architecture and technical design of platform and infrastructure services.
Reliability & Performance Engineering:
Improve reliability, scalability, and operational simplicity of production infrastructure.
Troubleshooting & Incident Investigation:
Investigate complex infrastructure and production issues across Linux, networking, applications, and distributed systems.
Observability & Diagnostics:
Improve observability, diagnostics, and troubleshooting capabilities.
Cross-Functional Collaboration:
Work closely with Development, DevOps, SRE, DBA, Security, and Infrastructure units.
Documentation & Best Practices:
Standardize common infrastructure solutions and document how they should be implemented and used.
Technology Innovation & Developer Experience:
Evaluate and introduce technologies that improve developer experience and infrastructure efficiency.
Requirements
5+ years of hands-on experience in Infrastructure Engineering, Systems Engineering, SRE, DevOps, Production Engineering or similar roles.
Strong Linux administration and troubleshooting skills.
Good understanding of production infrastructure, networking and distributed systems.
Hands-on experience operating
Kubernetes in production
.
Practical experience with
Infrastructure as Code and configuration management
, using Terraform, Ansible or similar tools.
Experience with
CI/CD
and infrastructure automation workflows.
Programming or strong scripting skills in Python, Go, Java, Bash or similar.
Experience with monitoring and observability systems.
Understanding of secrets management and secure infrastructure access patterns.
Experience integrating infrastructure systems through APIs.
Ability to design reusable infrastructure solutions instead of one-off automation.
Strong systems thinking and ability to troubleshoot complex cross-system issues.
Ability and willingness to learn new infrastructure and platform technologies.
Nice to Have
Experience with
GitOps
approaches and tools.
Experience with
Crossplane, Kubernetes operators or controllers
.
Experience with
Vault
or similar secrets management platforms.
Experience with
Kafka, PostgreSQL, Redis or ClickHouse
.
Experience with
Proxmox, VMware or public cloud platforms
.
Experience developing
internal infrastructure tools, APIs or self-service capabilities
.
Soft Skills
Strong analytical thinking and technical curiosity.
Ownership and responsibility.
Pragmatic approach to automation and engineering.
Ability to work independently on ambiguous technical problems.
Good communication and documentation skills.
Willingness to remain hands-on and share technical knowledge.
Benefits
Location: Minsk, Belarus
As part of our continued growth,
Neo Group is recruiting on behalf of one of our local partners
, leveraging our network of 1,400 talented professionals across 10+ countries. Together, we are committed to delivering innovative, data-driven solutions that empower our clients and foster professional growth within a dynamic and collaborative workplace.
We are on the lookout for
a Senior System Engineer
to join our
Engineering Team.
Unlock your full potential as a
Senior System Engineer
. In this senior, hands-on role, you will help move our partner's Infrastructure & Operations toward a platform engineering model, building reusable, self-service infrastructure capabilities for databases, messaging, secrets, DNS, compute, monitoring and application environments. You won't just keep systems running; you will automate and standardize infrastructure workflows, develop internal tooling and APIs, and improve how Kubernetes, CI/CD, networking and observability work together. If you have deep Linux and Kubernetes experience, think in reusable systems rather than one-off scripts, and enjoy solving complex production issues, we would love to hear from you!
Key Responsibilities
Platform Engineering & Transformation:
Help evolve Infrastructure & Operations toward a platform engineering model.
Workflow Automation & Standardization:
Standardize and automate infrastructure workflows and reduce manual provisioning.
Core Capabilities & Provisioning:
Build reusable infrastructure capabilities for databases, messaging, secrets, DNS, compute, monitoring, and application environments.
Internal Tooling & Lifecycle Management:
Develop internal tooling, APIs, and declarative workflows for infrastructure lifecycle management.
Ecosystem & Tooling Integration:
Improve integration between Kubernetes, CI/CD, networking, secrets management, databases, and observability systems.
Architectural & Technical Design:
Participate in architecture and technical design of platform and infrastructure services.
Reliability & Performance Engineering:
Improve reliability, scalability, and operational simplicity of production infrastructure.
Troubleshooting & Incident Investigation:
Investigate complex infrastructure and production issues across Linux, networking, applications, and distributed systems.
Observability & Diagnostics:
Improve observability, diagnostics, and troubleshooting capabilities.
Cross-Functional Collaboration:
Work closely with Development, DevOps, SRE, DBA, Security, and Infrastructure units.
Documentation & Best Practices:
Standardize common infrastructure solutions and document how they should be implemented and used.
Technology Innovation & Developer Experience:
Evaluate and introduce technologies that improve developer experience and infrastructure efficiency.
Requirements
5+ years of hands-on experience in Infrastructure Engineering, Systems Engineering, SRE, DevOps, Production Engineering or similar roles.
Strong Linux administration and troubleshooting skills.
Good understanding of production infrastructure, networking and distributed systems.
Hands-on experience operating
Kubernetes in production
.
Practical experience with
Infrastructure as Code and configuration management
, using Terraform, Ansible or similar tools.
Experience with
CI/CD
and infrastructure automation workflows.
Programming or strong scripting skills in Python, Go, Java, Bash or similar.
Experience with monitoring and observability systems.
Understanding of secrets management and secure infrastructure access patterns.
Experience integrating infrastructure systems through APIs.
Ability to design reusable infrastructure solutions instead of one-off automation.
Strong systems thinking and ability to troubleshoot complex cross-system issues.
Ability and willingness to learn new infrastructure and platform technologies.
Nice to Have
Experience with
GitOps
approaches and tools.
Experience with
Crossplane, Kubernetes operators or controllers
.
Experience with
Vault
or similar secrets management platforms.
Experience with
Kafka, PostgreSQL, Redis or ClickHouse
.
Experience with
Proxmox, VMware or public cloud platforms
.
Experience developing
internal infrastructure tools, APIs or self-service capabilities
.
Soft Skills
Strong analytical thinking and technical curiosity.
Ownership and responsibility.
Pragmatic approach to automation and engineering.
Ability to work independently on ambiguous technical problems.
Good communication and documentation skills.
Willingness to remain hands-on and share technical knowledge.
Benefits
Задачи:
— Проектирование и управление инфраструктурой AWS (VPC, IAM, EKS/ECS, S3, EventBridge) с использованием Terraform в средах DEV, QA и Production
— Создание и поддержка CI/CD-конвейеров и стандартизированного процесса развертывания для команд AI-агентов
— Поддержание надежности платформы в производственной среде: масштабирование, резервное копирование, управление секретами, мониторинг и оповещение
— Внедрение лучших практик безопасности: сетевая изоляция, шифрование, доступ с минимальными привилегиями и интеграция SSO
— Создание контейнеров и развертывание AI-агентов и сервисов на основе Python, а также устранение неполадок в сотрудничестве с командой разработки
— Разработка автоматизации и внутренних инструментов на Python для управления инфраструктурой и рабочих процессов развертывания
Требования:
— Опыт работы в DevOps/Cloud Engineering не менее 5 лет, включая управление производственными средами
— Большой практический опыт работы с AWS и Terraform
— Опыт работы с Kubernetes (желательно EKS), Docker и Helm
— Опыт работы с CI/CD инструментами: GitHub Actions, GitLab CI или аналогичными
— Отличные навыки программирования на Python: написание автоматизации и инструментов, а также чтение, отладка и поддержка сервисов на стороне сервера
— Опыт интеграции приложений с провайдерами идентификации через SSO (OIDC/SAML), например, Okta или Microsoft Entra ID
— Понимание архитектуры инфраструктуры для ИИ-агентов и её компонентов (API LLM, векторные базы данных, фреймворки агентов)
— Способность работать самостоятельно и общаться напрямую с заинтересованными сторонами клиента
Хорошо, если есть:
— Знакомство с платформами и инструментами для ИИ: AWS Bedrock, LangChain/LangGraph, векторные базы данных (например, ChromaDB), Langfuse
— Опыт работы с FastAPI
— Опыт работы в фармацевтической, биофармацевтической или других регулируемых отраслях
— Сертификаты AWS
Условия:
— Конкурентная компенсация
— Работа на удаленке или в офисе
— Гибкий график работы
— Программы непрерывного обучения, наставничества и профессионального развития
— Команда с отличной технической экспертизой
Location: SF Bay Area
Workplace: Hybrid
ABOUT THE ROLE
We’re looking for an experienced software engineer to help drive and evolve our data and AI security product. Our technology is new and rapidly evolving: you’ll be an early contributor with a substantial impact on the architecture and be solving multiple exciting technical challenges!
WHAT YOU'LL DO
- You'll design and implement highly scalable and fault-tolerant solutions to protect enterprise data across public clouds (e.g., AWS, GCP, Azure), SaaS applications, and AI agents.
- You'll build security capabilities that provide visibility into and control over how AI agents discover, access, process, and share sensitive enterprise data.
- You'll solve real-world scaling problems that require thorough performance analysis and troubleshooting skills.
- You'll work with a modern and constantly evolving microservices-based software stack that includes Go, Kubernetes, Bigtable, BigQuery, Spanner, Redis, Docker, and more.
- You'll write robust, secure-by-design software that must withstand real-world attacks while processing untrusted data and communicating with hundreds of thousands of endpoints over the internet.
WHO YOU ARE
- Proven Expertise: You have 5-8 yrs of industry experience in building high-scale security products. Experience in data security is highly preferred.
- AI Agents and Agentic Security: You have experience building AI agents, agentic applications, or security solutions for AI agents. Familiarity with agent frameworks, tool calling, MCP, and securing agent access to enterprise data is highly preferred.
- Cloud and SaaS Development: You have extensive experience developing distributed application software for public clouds (AWS, GCP, Azure) or SaaS applications.
- Data Integration at Scale: You are skilled in integrating and ingesting large-scale data from third-party SaaS, PaaS, or IaaS APIs.
- Programming Skills: You have extensive experience developing enterprise-scale applications, preferably in Go. Alternatively, you are proficient in Python, Java, or Rust.
- Database Proficiency: Familiarity with GCP Bigtable, BigQuery, or graph databases such as Neo4j or AWS Neptune is a plus.
- Performance Optimization: You have expertise in profiling and optimizing distributed code that interacts with large databases and streaming platforms.
- API and Microservices Development: You are experienced in designing and implementing RESTful APIs, with hands-on knowledge of microservices and Kubernetes.
- Communication Skills: You have excellent verbal and written communication skills in English and are comfortable collaborating frequently with distributed teams across Europe, India, and the US.
Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It.
Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe.
AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking.
Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Location: Bangalore
Workplace: Hybrid
ABOUT THE ROLE
We’re looking for an experienced Senior Software Engineer with 5+ years of experience to help build and evolve our data and AI security product. You’ll work on scalable backend systems that protect enterprise data across cloud environments, SaaS applications, and AI agents. As an early contributor, you’ll have the opportunity to influence technical decisions and solve complex engineering challenges at scale.
WHAT YOU’LL DO
- Design and build highly scalable, reliable, and fault-tolerant backend systems to protect enterprise data across public clouds (AWS, GCP, Azure), SaaS applications, and AI agents.
- Develop security capabilities that provide visibility and control over how AI agents access, process, and share sensitive enterprise data.
- Build and optimize distributed services that process large volumes of data with high performance and reliability.
- Work with a modern microservices-based stack including Go, Kubernetes, Bigtable, BigQuery, Spanner, Redis, and Docker.
- Write secure, production-ready code and troubleshoot complex performance and scalability challenges.
- Collaborate with engineering teams to contribute to technical design and architecture decisions.
WHO YOU ARE
- You have 5+ years of software engineering experience building scalable backend systems and distributed applications.
- You have experience developing cloud-native or SaaS applications, preferably in security or data protection.
- You have experience with AI agents, agentic applications, or AI security, including familiarity with agent frameworks, tool calling, or MCP.
- You have experience integrating and ingesting large-scale data from third-party SaaS, PaaS, or IaaS APIs.
- You have strong programming skills in Go, Python, Java, or Rust, with Go preferred.
- You have hands-on experience with microservices, RESTful APIs, Kubernetes, and public cloud platforms.
- You are familiar with distributed databases such as Bigtable, BigQuery, Spanner, Redis, or graph databases.
- You have strong debugging, performance optimization, and problem-solving skills, with the ability to independently own and deliver technical solutions.
- You communicate effectively and collaborate well with distributed teams.
Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It.
Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe.
AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking.
Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Location: Canada; United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
THE ROLE
As Docker continues its rapid growth, we're seeking an inspiring and experienced Director of Partner Solution Engineering to lead a world-class team. Docker helps organizations solve complex challenges in modern software supply chains, security governance, and AI-driven development. This role offers the opportunity to shape how our strategic partners, including ISVs, CSPs, SIs, and VARs, adopt and deliver transformative technologies that make developers more productive and secure.
As Director of Partner Solution Engineering, you will lead a high-performing technical organization responsible for driving partner enablement, joint go-to-market initiatives, and technical excellence across Docker's partner ecosystem. You will collaborate closely with Partner Sales, Technical Alliances, Product, and Engineering to develop scalable technical partnership strategies that help partners successfully integrate, sell, and deliver Docker's platform. Your focus will be on enabling your team to drive partner technical readiness, co-innovation, and mutual customer success while building repeatable models for partner engagement at scale.
_______________________________________________________________________
KEY RESPONSIBILITIES
LEADERSHIP & TEAM DEVELOPMENT
- Lead, develop, and inspire a team of Partner Solution Engineers, ensuring professional growth and high performance across multiple partner segments (ISVs, CSPs, SIs, VARs).
- Build and scale the Partner SE organization to support Docker's expanding partner ecosystem and geographic coverage.
- Foster a culture of innovation, collaboration, and continuous learning focused on partner success and technical excellence.
- Coach, mentor, and empower your team to engage effectively with diverse partner organizations and communicate complex technical concepts clearly.
PARTNER ENABLEMENT & TECHNICAL STRATEGY
- Establish repeatable processes and programs for partner technical enablement, including scalable learning paths, certifications, technical deep-dives, and integration workshops.
- Design and deliver both 1:1 strategic enablement for key partners and 1-to-many programs that drive adoption across the broader partner ecosystem.
- Create technical content, integration guides, architectural diagrams, reference architectures, and enablement videos tailored for partners.
- Develop partner-specific technical sales plays, solution validation frameworks, and proof-of-value methodologies that highlight Docker's differentiated value.
JOINT GO-TO-MARKET EXECUTION
- Partner with the Partner Sales organization to drive joint account planning, co-selling opportunities, and "sell-with" and "sell-through" motions.
- Guide partners through solution design, technical validation, and evaluation processes to achieve joint customer success and sales goals.
- Support product positioning and technical validation during joint sales engagements, ensuring clarity on what's GA and ready for delivery.
- Define and track metrics for partner technical readiness, engagement quality, and revenue impact.
PRODUCT & ALLIANCE COLLABORATION
- Collaborate with Product and Engineering teams to share Voice of the Partner, influencing roadmap priorities and co-building initiatives.
- Guide beta/EAP program participation with strategic partners, gathering feedback on new features and integration requirements.
- Work closely with the Technical Alliances team on roadmap alignment, technical integrations with CSPs and ISVs, and partner-driven feature requests.
- Champion regional partner technical needs and priorities in internal planning discussions (FedGov, EMEA, APAC).
CROSS-FUNCTIONAL LEADERSHIP
- Collaborate with Field SEs to ensure alignment with market-specific requirements, share learnings, and avoid duplication of effort.
- Partner with Marketing to support partner events, conferences, webinars, and demand generation programs.
- Work with Sales leadership to define partner success metrics, performance standards, and technical excellence measures.
- Represent Docker at partner events and conferences as a technical expert and evangelist.
OPERATIONAL EXCELLENCE
- Create an environment of continuous improvement focused on partner outcomes, operational excellence, and scalable processes.
- Develop internal enablement programs that enhance partner SE capabilities and share best practices across teams.
- Establish tools, systems, and workflows that enable efficient partner engagement and measurement.
- Build strong feedback loops to iterate on enablement strategies based on data-driven insights and partner performance.
_______________________________________________________________________
QUALIFICATIONS
REQUIRED
- 8+ years of experience leading technical partner engineering, partner solutions, or pre-sales teams for distributed systems, developer platforms, or cloud infrastructure companies.
- Proven success in guiding teams that support channel partnerships, strategic alliances, and joint go-to-market initiatives.
- Minimum of 5 years in management, including hiring, mentoring, and scaling high-performing partner-facing technical teams.
- Deep understanding of partner ecosystems including ISVs, CSPs (AWS, Azure, GCP), Systems Integrators, and VARs.
- Strong experience in software supply chain security, security governance, DevOps, DevSecOps, or developer productivity technologies.
- Deep technical understanding of containerization, cloud-native architectures, CI/CD pipelines, and developer tools.
- Demonstrated ability to build scalable partner enablement programs (technical learning paths, certifications, workshops).
- Excellent communication and executive presentation skills, with the ability to build trust across technical and business audiences at both partner and customer organizations.
- Strong strategic thinking with proven ability to influence cross-functional teams and drive complex initiatives.
PREFERRED
- Operational experience with Docker, Kubernetes, or similar container-based platforms.
- Experience with application security principles and securing the software supply chain, including SBOMs, image scanning, and secure delivery pipelines.
- Background in software development, scripting, or infrastructure-as-code.
- Experience enabling developer productivity through coding assistants, AI integrations, or AI agent development.
- Familiarity with partner operations tools including Salesforce and enablement platforms like MindTickle.
- Experience working in both direct and channel sales models, understanding the nuances of partner-led vs. partner-assisted sales.
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).
- Willingness to travel (~30% expected) to support key partner engagements and events.
_______________________________________________________________________
WHAT SUCCESS LOOKS LIKE
30 DAYS
- Successfully onboard, gaining familiarity with Docker's platform, partner ecosystem, and partner go-to-market strategy.
- Establish relationships with your team, Partner Sales, Technical Alliances, Field SE leadership, and key cross-functional partners.
- Begin shadowing partner calls, reviewing existing enablement materials, and understanding current partner technical capabilities.
- Learn tooling (Salesforce, Looker, Docker platform, PRM) and connect with internal stakeholders.
90 DAYS
- Develop and align a 12-month strategic plan with Partner Sales, Technical Alliances, and Product leadership.
- Begin executing key initiatives focused on improving partner technical readiness, enablement program quality, and joint sales effectiveness.
- Lead enablement sessions for selected strategic partners and support joint-account planning activities.
- Produce initial partner-facing technical content and establish your voice as a technical leader in the partner ecosystem.
1 YEAR
- Scale and enable a high-impact Partner Solution Engineering organization that drives measurable partner success and revenue growth through the channel.
- Own the technical strategy for one or more partner segments with documented processes, metrics, and success stories.
- Become a trusted advisor across Partner Sales, Product, Engineering, and Technical Alliances by championing partner insights and technical excellence.
- Demonstrate quantifiable improvements in partner technical closure rates, joint sales velocity, and partner satisfaction scores.
- Build a reputation as a thought leader in the partner ecosystem, representing Docker effectively at partner events and conferences.
_______________________________________________________________________
WHY JOIN DOCKER
Docker is at the forefront of developer productivity and software supply chain security. As Director of Partner Solution Engineering, you'll have the opportunity to:
- Shape the technical strategy for how Docker scales through its partner ecosystem
- Build and lead a world-class team of Partner Solution Engineers
- Work with industry-leading partners including major cloud providers, security vendors, and global system integrators
- Influence product direction based on partner and customer insights
- Make a measurable impact on Docker's growth through the channel
- Collaborate with passionate, talented teams across Sales, Product, Engineering, and Alliances
This is a high-impact leadership role for someone who thrives at the intersection of deep technical expertise, strategic partnership development, and team building. If you're excited about enabling partners to deliver exceptional outcomes for joint customers while building a best-in-class Partner SE organization, we'd love to hear from you.
Visa sponsorship: Not available for this role.
_______________________________________________________________________
COMPENSATION & EQUITY
All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.
Canada: CA$327.6K– CA$468K OTE
United States: $226.1K – $323K OTE
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Автоотклики