Location: Germany; Portugal; France; Spain; Italy; The Netherlands
Workplace: Hybrid
WHY PRODUCT ENGINEERING AT LANGFUSE
Your work will have an outsized impact.
Everything you build is open source (MIT-licensed) and immediately visible. Langfuse has 35,000+ GitHub stars and our SDKs are downloaded more than a hundred million times per month. When you ship a new feature the community notices in GitHub issues, on X, and in our community channels.
Product engineers at Langfuse are the people who deliver new features end-to-end to our users. You own the product thinking from understanding the user problem to deciding what to build to shipping the solution.
You will also have direct exposure to how cutting-edge LLM applications are built. The users you serve are some of the best and most ambitious software engineers leveraging Langfuse to improve their applications. Deeply understanding the problems they solve will help you design the best possible product and along the way makes you an expert on LLM engineering yourself.
YOU WILL GROW AT LANGFUSE BY
- Own features end-to-end: from talking to users, to writing the spec, to shipping the code and docs, to writing the changelog post https://langfuse.com/changelog with your name on it. To give you a sense: recent features a single engineer owned include the Langfuse for Agents https://langfuse.com/changelog/2025-11-05-langfuse-for-agents release (new trace views, agent graphs, semantic span labels), the TypeScript SDK v4 https://langfuse.com/changelog/2025-08-28-typescript-sdk-v4-ga rewrite on OpenTelemetry, and managing dashboards via API/CLI/MCP https://langfuse.com/changelog/2026-07-17-dashboard-and-widget-operations-in-api.
- Work across the full stack: and we mean full. Our surface area is wide: React frontend, Next.js backend, ClickHouse analytics, Python and TypeScript SDKs, public docs, Terraform modules, and more. You'll touch whatever the feature needs. One week you might be writing a new ClickHouse query for cost analytics, the next you're designing an SDK API, the next you're building a new rust worker for faster data processing.
- Talk to users constantly: jump on calls, respond in community channels, and route support requests. At Langfuse, support is how we build conviction about what to build next. Our handbook says it best: support by engineers is a core value proposition.
- Write public documentation about the features you own. At Langfuse, docs are product.
- Ship publicly during Launch Weeks: we've run four Launch Weeks https://langfuse.com/blog/2025-10-29-launch-week-4 so far, dropping a new feature every day for a week. Engineers present the features they built to the community.
WHAT WE’RE LOOKING FOR
- Someone who has built features or even entire products from scratch end-to-end
- Experience building and shipping user-facing products end-to-end, ideally in TypeScript/React and with exposure to data-intensive backends
- Someone who can manage projects themselves. You know how to develop strong conviction about what to build and how to ship it.
- Taste for great developer experience: you care about API design, UI details, and clear documentation
- Interest in open source software and genuine excitement about talking to developers about their problems
- Thrives in a small, accountable team where your output is visible and matters
- CS or quantitative degree preferred
Bonus points:
- Experience with ClickHouse, analytics databases, or building complex data visualizations
- Former founder or early startup experience
- Contributions to popular open source projects
- ML/AI background or familiarity with the LLM framework ecosystem
No candidate checks all boxes. If you feel you are a good fit for this role, please go ahead and apply.
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new eligible team member who joins our company receives equity.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
ГибридseniorGermany; Portugal; France; Spain; Italy; The Netherlands
Задачи:
— Администрирование, конфигурация, оптимизация и поддержка платформы Databricks.
— Управление рабочими пространствами Databricks в средах разработки, тестирования и продакшена.
— Конфигурация и управление кластерами, пулами, заданиями и рабочими процессами для поддержки ETL, потоковых и ML задач.
— Мониторинг состояния платформы, емкости и производительности, проактивное выявление и устранение проблем.
— Управление версиями Databricks runtime, библиотеками и интеграциями с облачным хранилищем и сервисами данных.
— Реализация и поддержка процедур резервного копирования, восстановления и обеспечения непрерывности бизнеса.
— Настройка и поддержка управления идентификацией и доступом (IAM) в Databricks.
— Внедрение и соблюдение лучших практик безопасности, включая шифрование, сетевой контроль и политики доступа к данным.
— Сотрудничество с командами безопасности и соответствия для соблюдения организационных и нормативных требований.
— Поддержка стандартов управления данными (например, Unity Catalog).
— Оптимизация конфигураций кластеров, автоскейлинга и планирования заданий для баланса производительности и затрат.
— Анализ метрик использования и затрат, внедрение стратегий контроля затрат.
— Рекомендации и реализация стратегий настройки и оптимизации платформы для больших данных.
— Взаимодействие с инженерами данных, аналитиками и дата-сайентистами для понимания требований и рекомендаций по использованию Databricks.
— Предоставление поддержки уровня Tier 2/3 по инцидентам и запросам, связанным с Databricks.
— Разработка и поддержка документации, инструкций и стандартных операционных процедур.
— Проведение обучения пользователей и обмен знаниями по возможностям и лучшим практикам Databricks.
— Автоматизация развертывания рабочих пространств и кластеров, конфигураций и политик с использованием Infrastructure as Code (Terraform, ARM/Bicep, CloudFormation).
— Интеграция Databricks с CI/CD пайплайнами для развертывания кода и управления средами.
— Поддержка лучших практик контроля версий для ноутбуков, заданий и конфигураций.
Требования:
— Высшее образование в области компьютерных наук, информационных систем, инженерии или смежных областях либо дополнительный опыт работы 4 года при отсутствии диплома.
— Опыт работы не менее 8 лет в администрировании облачных платформ данных или сред больших данных.
— Практический опыт администрирования Databricks (Azure, AWS или GCP Databricks).
— Глубокое понимание рабочих пространств, кластеров, заданий, пулов и ноутбуков Databricks.
— Знание облачных хранилищ (Azure Data Lake Storage, S3, GCS) и сетевых концепций.
— Опыт управления идентификацией и доступом в соответствующем облачном провайдере (Azure AD, IAM и др.).
— Навыки скриптинга и автоматизации (Python, PowerShell, Bash).
— Знакомство с концепциями Spark (кластеры, исполнители, задания, партиции) и вопросами производительности.
— Опыт мониторинга и устранения проблем с производительностью и надежностью платформы.
— Сильные аналитические и проблемно-ориентированные навыки.
— Умение объяснять сложные технические концепции технической и нетехнической аудитории.
— Ориентация на клиента и качество сервиса.
— Способность работать самостоятельно и в команде в динамичной agile-среде.
Желательные квалификации:
— Сертификация Databricks (например, Databricks Certified Data Engineer Associate/Professional, Lakehouse Fundamentals, Administrator).
— Опыт работы с Unity Catalog и тонкой настройкой доступа к данным.
— Опыт работы с CI/CD инструментами (Azure DevOps, GitHub Actions, Jenkins).
— Опыт работы с Infrastructure as Code (предпочтительно Terraform).
— Опыт работы с инструментами агрегации логов и мониторинга (Azure Monitor, CloudWatch, Datadog, Splunk).
— Знание Delta Lake, структурированного стриминга и архитектур Lakehouse.
— Опыт работы в корпоративных средах с высокими требованиями к безопасности и соответствию.
Условия:
— Удаленная работа из любой точки.
— Полная занятость, 40 часов в неделю.
— Требуется получение и поддержание уровня безопасности Public Trust с обязательной процедурой снятия отпечатков пальцев.
— Требования к резидентству в США: проживание в США или территориях последние 5 лет с ограничениями на время отсутствия.
— Конкурентная зарплата в диапазоне $10,669 – $14,435 в месяц ($128,039 - $173,229 в год), зависит от опыта и местоположения.
— Пакет социальных льгот, включая медицинское страхование, 401(k) с компанией-матчем, оплачиваемый отпуск и другие выплаты.
— Гибкий график работы и поддержка баланса работы и личной жизни.
— Процесс верификации личности с использованием биометрии и ИИ для предотвращения мошенничества.
Компания «7ЦВЕТОВ-Декор», входящая в группу компаний 7ЦВЕТОВ, более 19 лет поставляет на российский рынок упаковку для срезанных цветов, крупномерные кашпо, керамику, расходные материалы и инструменты для флористов, плетеные изделия и многое другое. Сотрудничаем с салонами цветов и магазинами декора, оптовыми компаниями и торговыми сетями, оформителями и дизайнерами по всей России.
С чем мы работаем:
1С:Предприятие (в том числе мобильная платформа);
Confluence;
Для разработки используем EDT;
Gitlab - для конфигураций баз (придерживаемся GitHub Flow);
Jira - для Scrum-досок;
MS Teams - для коммуникаций команды;
Vanessa Automation - автотесты на Gherkin;
SonarQube - контроль качества кода;
Elastic Search + Kibana – для журнала регистрации;
HTTP / WEB сервисы, форматы XML / JSON;
Работа с контуром CI/CD;
Конфигурации 1С (УТ11, БИТ:Финанс 3, ERP, НСИ).
Обязанности:
— Поддержка и разработка основной конфигурации на УТ 11.1;
— Оказание технической поддержки сотрудникам компании.
Требования:
— Опыт разработки на платформе 1С Предприятие 8.3 не менее 1 года;
— Умение читать чужой код;
— Уверенное владение языком запросов 1С (СКД);
— Хорошие знания методик разработки в системе 1С и умение применять их на практике;
— Использование типового кода конфигураций и библиотек стандартных подсистем;
— Опыт работы с управляемым приложением в клиент-серверном режиме работы системы 1С;
— Знание современных протоколов обмена данными (HTTP, SOAP и т.д.), принципов интеграции 1С со сторонними приложениями и форматов обмена данными (XML, JSON);
— Понимание принципов взаимодействия платформы 1С с СУБД;
— Инициатива – приветствуется предложение новых путей решения задач.
Условия:
— График работы: 5/2 с 9:00 до 18:00, гибрид (2-3 дня в офисе);
— Заработная плата: 270 000 руб. фикс;
— Оформление по ТК РФ;
— ДМС после испытательного срока;
— Скидки для сотрудников на товары компании, доступ к системе скидок BestBenefits;
— Подарки для сотрудников и их детей к Новому Году, подарки и розыгрыши на день рождения Компании, фруктовые дни;
— Офис на ст. м. Молодежная (бесплатный корпоративный транспорт 5-7 минут в дороге);
— Льготная столовая для сотрудников;
— Возможность посещения флористических мастер-классов – получение новых навыков сборки букетов и композиций.
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Location: Ukraine
OUR HIRING PROCESS:
We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live.
INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our
Privacy Policy
We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement.
This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch.
Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers.
As part of our team, your responsibilities in this role will include:
Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed.
Build and maintain MCP servers and tool layers that give agents governed access to company data and systems.
Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing.
Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks.
Contribute to shared platform pieces: the agent template, the LLM gateway, observability.
Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent.
Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes.
Our ideal candidate possesses the following skills:
5+ years of software engineering experience, with production systems you've designed, shipped and supported.
Proven experience building LLM-based agents or agentic workflows that reached production with real users.
Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one.
Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data.
Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management.
Strong Python and SQL. Comfortable in TypeScript/Node.js.
Solid production engineering on AWS: Docker, CI/CD, testing, observability.
Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes.
Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce.
Clear communication with technical and non-technical stakeholders, in English.
Nice to have:
LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar).
B2B contact and company data: enrichment, deduplication, matching.
Cloud operations or FinOps: monitoring, incident handling, cost management.
Event-driven or workflow-engine experience (Kafka, Temporal or similar).
Experience replacing no-code or workflow-tool automations with production code.
What we offer:
Fully remote work format;
A collaborative and creative environment that values initiative and experimentation;
Paid time off and sick leave;
Reduced working hours on Fridays during the summer;
Days-off on US national holidays + your birthday;
Schedule: 14 PM - 23 PM EEST (Kyiv time).
Задачи:
— Проектирование масштабируемых распределённых backend-систем на Go
— Архитектура высоконагруженных распределённых платформ
— Внедрение и настройка AI-решений внутри инженерной команды
— Поддержка сложных бизнес-операций и быстрого роста продукта
— Тесная коллаборация engineering и product-команд
Требования:
— Опыт разработки на Go от 5+ лет
— Опыт работы в руководящей роли 2+ года
— Практика внедрения и конфигурации AI-решений в команде
— Глубокое понимание системного дизайна для высокопроизводительных систем
— Уверенное владение паттернами конкурентности в Go (goroutines, channels, sync primitives)
— Опыт работы с CI/CD-инструментами и пайплайнами (GitLab CI, GitHub Actions, Jenkins)
— Английский: Advanced и выше
Условия:
— full-time
— Контракт B2B / contractor
— Расширенный соцпакет
— Доступ к базе знаний Andersen
— Компенсация профессиональных сертификаций
— Программы менторства
— Карьерный рост как эксперта или руководителя
Location: Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia
About JetBrains
We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale.
What you’ll do
Our IDEs are built on a massive scale: a 14 GB monorepo with more than 500 developers committing code every day and hundreds of thousands of automated tests running to keep everything stable. Delivering regular, reliable updates across this ecosystem without blocking engineering teams is a massive infrastructure challenge.
That’s where you come in. You’ll join our infrastructure team as both a technical specialist and process owner for our release infrastructure, building reliable systems that make it possible to ship releases smoothly. You’ll take ownership of the CI/CD pipelines, optimize delivery workflows, and make sure changes flow smoothly from local development all the way to release.That's where you come in. You'll join our infrastructure team as both a technical specialist and process owner for our release infrastructure, building reliable systems that make it possible to ship releases smoothly. You'll take ownership of the CI/CD pipelines, optimize delivery workflows, and work closely with engineering teams to keep changes moving smoothly from local development through to release.
Day to day, you will:
Design, configure, and maintain CI/CD pipelines to keep releases reliable and repeatable.
Manage branching strategies, coordinate code freezes, and handle hotfix releases.
Diagnose pipeline failures and resolve build bottlenecks before they affect delivery.
Automate repetitive release tasks and improve YouTrack workflows for better issue tracking.
Gather requirements from development teams to turn pain points into smooth tooling improvements.
Communicate process changes to stakeholders and support teams through transitions.
Lead retrospectives after incidents to continuously refine our release process.
What you’ll bring
Curiosity and a systematic approach to solving complex infrastructure problems.
Clear communication skills to collaborate with multiple engineering teams.
A strong drive to automate manual tasks and remove friction for fellow developers.
Comfort taking ownership of release decisions and managing trade-offs under deadline constraints.
Pragmatism when prioritizing build stability, release speed, and developer experience.
What you’ll need
Proven hands-on experience building, maintaining, and troubleshooting CI/CD pipelines (e.g., TeamCity, Jenkins, GitHub Actions, or similar).
Fluency in Kotlin or Java.
Practical experience working with Gradle or similar build systems.
Familiarity with Linux environments and shell scripting.
Proficiency Experience using issue tracking tools like YouTrack or Jira to manage workflows.
Professional fluency in written and spoken English.
Experience with large-scale monorepo builds, the JetBrains toolchain (TeamCity, YouTrack), plugin compatibility testing, or multi-product release pipelines are pluses.
What success looks like
You earn the trust of our engineering teams by making releases predictable, smooth, invisible, and stress-free. Pipelines run efficiently, failures are diagnosed quickly, and repetitive tasks are continuously automated away. Developers across the IDE department can focus on building great features, confident that the delivery pipeline behind them is rock-solid.
Why join JetBrains?
Strong base salary. We offer competitive pay that reflects your skills and experience.
Flexible work location. Enjoy the freedom to work from home or from the office.
Remote work. Spend up to 30 days per year working remotely from abroad.
Extra time off. More days to relax, recharge, and do the things you love.
Medical insurance allowance. Enjoy peace of mind for you and your family
Learning and development opportunities. Access to conferences, courses, and language classes.
Language classes. Pick up the local language or sharpen your English skills.
Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
Mental health support. To help you feel your best, we provide easy access to professional mental health services.
Sports benefit. Enjoy an on-site gym or sports club stipend.
Internal events. Join company-wide celebrations and team gatherings.
*Some benefits may vary depending on location.
#LI-PR1
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the
Recruitment Privacy Policy.
О проекте: Международный проект в области AI Security, связанный с разработкой сред, которые помогают LLM-моделям проходить обучение с подкреплением для задач, связанных с кибербезопасностью. Эти среды содержат задания в различных областях кибербезопасности (пентестинг, реагирование на инциденты, эксплуатация, вредоносное ПО и т.д.), цель — создавать достаточно сложные задачи, чтобы модель допускала ошибки, но которые остаются решаемыми для профессиональных специалистов. Это не классическая позиция Pentester или Red Team Engineer. Основная задача — создавать сложные, но реалистичные и проверяемые security-сценарии, в которых LLM-модели совершают ошибки из-за недостатков в рассуждении (reasoning), а не из-за неоднозначных инструкций или ограничений среды.
Задачи:
— Проектировать security-сценарии для оценки и обучения LLM-моделей
— Создавать environments с использованием GitHub, Slack и других инструментов, встречающихся в реальной разработке
— Разрабатывать задачи, требующие сложного многошагового reasoning
— Моделировать реальные offensive security-сценарии (supply chain attacks, malicious pull requests, exploitation через GitHub Actions и другие техники)
— Проверять сценарии на нескольких frontier-моделях и анализировать причины ошибок
— Формулировать ожидаемое поведение модели и описывать, почему ошибка считается reasoning failure
— Автоматизировать создание и проверку задач с использованием Python и других инструментов
Требования:
— 5+ лет практического опыта в Offensive Security, Application Security или Web Penetration Testing
— Глубокое понимание современных техник атак и поверхности атаки веб-приложений, API, GitHub, CI/CD и связанных экосистем
— Практический опыт penetration testing и исследования безопасности приложений
— Опыт разработки на Python и/или JavaScript
— Навыки статического и динамического анализа кода (Python, JavaScript, Java)
— Умение самостоятельно исследовать новые направления, проектировать сложные сценарии и объяснять результаты
— Свободный английский язык (Upper-Intermediate / B2+)
— Практический опыт работы с современными LLM-моделями
— Понимание особенностей работы LLM, ограничений и типичных failure modes
— Интерес к AI Security и исследованию поведения LLM
Будет плюсом:
— Практический опыт AI Red Teaming или LLM Security
— Опыт работы с Agentic AI, AI Agents или Model Evaluation
— Опыт исследований безопасности GitHub Actions, CI/CD, Supply Chain Security
— Сертификаты OSWE, eWPTXv2, OWEE, OSWA или аналогичные
— Публикации, write-ups, участие в Bug Bounty, HackTheBox, TryHackMe, Pwn2Own или других проектах
Условия:
— B2B-контракт (с ИП)
— Оплата в долларах США
— Part-time: ориентировочно 5–20 часов в неделю
— Минимальный объем — 1–2 задачи в неделю
— На выполнение одной задачи обычно требуется 5–10 часов
— Локация — строго вне РФ (либо уже за пределами РФ, либо готовность к релокации)
— Старт — ASAP
О проекте: Международный проект в области AI Security, связанный с разработкой сред, которые помогают LLM-моделям проходить обучение с подкреплением для задач, связанных с кибербезопасностью. Эти среды содержат задания в различных областях кибербезопасности (пентестинг, реагирование на инциденты, эксплуатация, вредоносное ПО и т.д.), цель — создавать достаточно сложные задачи, чтобы модель допускала ошибки, но которые остаются решаемыми для профессиональных специалистов. Это не классическая позиция Pentester или Red Team Engineer. Основная задача — создавать сложные, но реалистичные и проверяемые security-сценарии, в которых LLM-модели совершают ошибки из-за недостатков в рассуждении (reasoning), а не из-за неоднозначных инструкций или ограничений среды.
Задачи:
— Проектировать security-сценарии для оценки и обучения LLM-моделей
— Создавать environments с использованием GitHub, Slack и других инструментов, встречающихся в реальной разработке
— Разрабатывать задачи, требующие сложного многошагового reasoning
— Моделировать реальные offensive security-сценарии (supply chain attacks, malicious pull requests, exploitation через GitHub Actions и другие техники)
— Проверять сценарии на нескольких frontier-моделях и анализировать причины ошибок
— Формулировать ожидаемое поведение модели и описывать, почему ошибка считается reasoning failure
— Автоматизировать создание и проверку задач с использованием Python и других инструментов
Требования:
— 5+ лет практического опыта в Offensive Security, Application Security или Web Penetration Testing
— Глубокое понимание современных техник атак и поверхности атаки веб-приложений, API, GitHub, CI/CD и связанных экосистем
— Практический опыт penetration testing и исследования безопасности приложений
— Опыт разработки на Python и/или JavaScript
— Навыки статического и динамического анализа кода (Python, JavaScript, Java)
— Умение самостоятельно исследовать новые направления, проектировать сложные сценарии и объяснять результаты
— Свободный английский язык (Upper-Intermediate / B2+)
— Практический опыт работы с современными LLM-моделями
— Понимание особенностей работы LLM, ограничений и типичных failure modes
— Интерес к AI Security и исследованию поведения LLM
Будет плюсом:
— Практический опыт AI Red Teaming или LLM Security
— Опыт работы с Agentic AI, AI Agents или Model Evaluation
— Опыт исследований безопасности GitHub Actions, CI/CD, Supply Chain Security
— Сертификаты OSWE, eWPTXv2, OWEE, OSWA или аналогичные
— Публикации, write-ups, участие в Bug Bounty, HackTheBox, TryHackMe, Pwn2Own или других проектах
Условия:
— B2B-контракт (с ИП)
— Оплата в долларах США
— Part-time: ориентировочно 5–20 часов в неделю
— Минимальный объем — 1–2 задачи в неделю
— На выполнение одной задачи обычно требуется 5–10 часов
— Локация — строго вне РФ (либо уже за пределами РФ, либо готовность к релокации)
— Старт — ASAP
Location: Bengaluru, Karnataka, India, APAC
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
We’re looking for a talented Senior Software Engineer with a passion for building enterprise grade software to join the team. You will be focusing on developing world-class enterprise capabilities and features in support of our largest and most sophisticated customers. The work we do is both highly visible and critically important to the long term growth and success of Fivetran. You will have an impact across the entire product as we develop our next generation of enterprise, data governance, and solutions engineering offerings.
This team is tasked with evolving a high performance extract-load-transform data integration system that enables our connector teams to ship the Fivetran ELT product using powerful abstractions. The role will challenge you to solve problems in the domains of performance engineering, data security, and cluster orchestration. You don’t necessarily need to be a subject matter expert before you join us (you will be one before you leave!).
We're looking for people who can understand the key values that make our product great and implement those values in the many small decisions you make every day.
This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team
Technologies You’ll Use
Java
SQL
Bazel, BuildKite, Docker, Kubernetes, Github
AWS, GCP, Azure
Postgres database
What You’ll Do
Design and implement features and performance improvements to create highly scalable distributed data pipelines on the cloud
Develop, maintain, and test code
Conduct design and code reviews
Collaborate with peers, product managers, customer support, and other stakeholders to deliver the best product with high quality, performance, and scalability.
Understand and fix challenges related to performance and scalability.
Participate periodically in on-call rotation
Participate in the hiring process
Mentor Junior developers
Make Fivetran the most reliable and secure component of our customers’ data infrastructure
Skills We’re Looking For
5+ years of experience in the software industry with a passion for solving complex software engineering problems.
Software engineering foundation - experience designing and developing reusable libraries and experimentation platforms for backend and frontend from scratch leveraging industry best practices.
Experience working with distributed systems and cloud security concepts
Demonstrated ability to write well-structured and performant code
Ability to lead software and infrastructure design to satisfy project requirements
Can identify design flaws in existing systems and come up with improvements
Experience in code reviews, design, troubleshooting and testing
Experience programming in an object oriented / systems language such as Java, C++, C# etc
Hands-on experience working with any cloud technologies(AWS, GCP, Azure) and containerization methodologies like Docker, K8s.
Experience interacting with continuous integration tools like Buidkite.
Knowledge of observability tools like New Relic/Grafana is a plus
Knowledge of Data Engineering is a plus
Optional (Bonus Skills)
Experience in data processing (ETL, ELT) and/or cloud-based platforms.
#LI-HYBRID
#LI-PE1
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Typeform is a form builder helping over 150,000 businesses collect data with forms, surveys, and quizzes. The company is fully remote and hires candidates based in the UK, Ireland, Germany, Portugal, or The Netherlands.
Product Operations is central to how Product and R&D teams work, creating systems and practices to focus on solving the right problems and delivering products. AI is increasingly important, with teams experimenting with tools like Glean and Claude, automations, agents, and AI usage throughout product development.
The role of AI Product Operations Lead involves building and operating internal AI Operations capability for R&D. It requires turning ambiguous opportunities into reliable solutions by identifying high-value AI problems, understanding workflows, designing solutions, building or coordinating delivery, and being accountable for performance after launch.
Responsibilities include:
— Building and improving a backlog of AI opportunities across R&D, prioritizing impactful AI jobs.
— Taking ambiguous problems from discovery to delivery: understanding users and workflows, exploring options, designing systems, implementing, testing, documenting, launching, measuring, and improving.
— Designing simple AI-native solutions fitting naturally into workflows, deciding when prompts, automations, integrations, agents, databases, or custom apps are appropriate.
— Helping R&D get value from enterprise AI tools like Glean and Claude, partnering with IT and InfoSec on access, configuration, connectors, enablement, and support.
— Owning the lifecycle of AI systems including automations, skills, agents, and internal web apps.
— Establishing evaluation, testing, reliability, observability, security, and maintenance practices, improving systems over time.
— Partnering across R&D to uncover needs, unblock delivery, clarify ownership, and involve experts.
— Running and evolving R&D AI governance and enablement practices, providing leaders visibility into work, risks, adoption, and outcomes.
— Participating in broader AI governance efforts as an R&D contributor.
— Working with Finance and partners to improve visibility into AI tool usage, spend, and value to inform investments.
— Exploring and supporting autonomous agents to improve planning, discovery, design, build, evaluation, and management across product development.
Requirements:
— Strong practical experience applying AI to real-world problems, building usable solutions.
— Proven track record taking ambiguous problems from discovery through implementation, testing, adoption, and improvement.
— Excellent systems thinking to understand people, processes, tools, data flows, integrations, permissions, and constraints, making trade-offs.
— Strong user and workflow discovery skills to understand real jobs and simplify solutions.
— Hands-on technical fluency building, modifying, troubleshooting internal workflows, automations, agents, or apps.
— Practical experience with modern development tools like GitHub, repositories, pull requests, application hosting, deployment, logging, and troubleshooting.
— Ability to manage work independently: prioritizing backlog, handling dependencies and risks, documenting decisions, communicating with stakeholders.
— Strong approach to evaluation and reliability, defining "good", testing, collecting feedback, and improving live systems.
— Ability to work effectively across technical and non-technical teams, asking questions, challenging assumptions, seeking expert input, and progressing without close supervision.
— Good judgment on responsible AI, security, access, governance, and knowing when to involve partners.
The role reports to VP of Product Operations and collaborates with Product, Engineering, Design, Research, Data Science, IT, InfoSec, and AI practitioners across Typeform.
Location: Bangalore
Workplace: hybrid
⚡️ About Merkle Science
Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate, and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies.
Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over $27M from SIG, Beco, Republic, DCG, Kenetic, GGV and several others.
💥 What will you do?
● Own one of our core products (crypto-forensics or crypto transaction monitoring), its roadmap and vision
● Collaborate closely with product designers and engineers to launch easy to use solutions to solve complex problems
● Coordinate with customers to understand their requirements, and help evolve our existing products based on customer feedback
● Serve as the central point of contact that connects sales, marketing and engineering teams and helps in cross-collaboration
📜 What process do we follow? (<2 weeks)
1. Application: We will keep it simple. You can apply directly through our job portal. All we ask for is a Resume. Additional Portfolio links such as Github, Medium or a Personal website are welcome
2. Screening: We will screen your profile and get back with a decision asap
3. Interviews: We will have two rounds of interviews. Round one (30mins) Intro call that will focus on getting to know each other better and identifying if this could work for both of us. Round two (60mins) is a technical round where we will review your prior experience and discuss how you would build systems to solve a problem we will introduce on call. An additional third round-technical may be decided based on the previous rounds
4. Meet the Team: Culture-Fit is essential for both you and us. So we always go the extra mile, and you will meet two other colleagues on the team who you would be working with. Here, you could discuss questions on stack, culture and some other things you might be interested in if you had a consideration for a new role.
5. Offer Rollout: If all looks well, we will open a bottle of champagne.
📢 Other information you may want to consider
· We will be flexible for the rest of the pandemic and work remotely; however, we are not a remote-first company, and the work location would be Bangalore when things settle.
❤️ Well Being, Compensation and Benefits
We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance. We regularly host team-building sessions and encourage discussions around mental health.
We reward talent and believe in acknowledging people for their contributions. We offer industry-leading compensation, along with generous equity. As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.
О компании:
Акционерное общество «Новый Старт» - частная российская аэрокосмическая компания замкнутого цикла, разработчик отечественных космических систем дистанционного зондирования Земли с космическими аппаратами радиолокационного и оптического наблюдения, оператор космических запусков с использованием ракеты-носителя сверхлегкого класса.
О команде:
Команда отвечает за полный цикл создания инфраструктуры на базе ЦОД: от выбора и размещения оборудования до запуска собственной частной облачной платформы. Проектируют сетевую архитектуру, конфигурацию серверов и систем хранения, выбирают стек системного ПО (виртуализация, Kubernetes, хранилища, решения для наблюдаемости и управления инфраструктурой) и запускают платформенные и продуктовые сервисы. Вместе с продуктовыми командами занимаются контейнеризацией приложений, проектируют процессы CI/CD и внедряют GitOps-подход для управления развёртыванием сервисов в различные окружения. Используют подход Infrastructure as Code (IaC), развивают автоматизацию и наблюдаемость для предсказуемых и воспроизводимых изменений инфраструктуры и сервисов.
Задачи:
— Контейнеризация приложений.
— Проектирование и развитие процессов непрерывной интеграции и доставки (CI/CD).
— Автоматизация развертывания приложений и инфраструктуры с использованием подходов IaC.
— Внедрение и развитие GitOps-подхода для управления конфигурациями и релизами.
— Управление контейнерной средой.
— Настройка и развитие систем мониторинга, логирования и оповещения о сбоях и инцидентах для сервисов и инфраструктуры.
— Обеспечение отказоустойчивости и масштабируемости сервисов.
— Взаимодействие с командами разработки и эксплуатации для оптимизации развертывания и эксплуатационных процессов.
Требования:
— Опыт работы в роли DevOps-инженера от 2 лет.
— Отличные знания Linux.
— Практический опыт контейнеризации: Docker/OCI, написание и оптимизация Dockerfile, использование Docker Compose.
— Опыт разработки CI/CD-пайплайнов в GitLab CI или аналогичных системах (Jenkins, GitHub Actions и др.).
— Опыт автоматизации и подхода IaC: Ansible, Terraform или аналогичные инструменты.
— Практический опыт работы с Kubernetes: развертывание приложений с использованием Helm или Kustomize, управление манифестами и ресурсами (Deployments, StatefulSets, Services, Ingress, ConfigMap/Secret и т.д.), базовая диагностика проблем в кластере.
— Понимание и практический опыт построения GitOps-процессов (Argo CD или Flux CD).
— Навыки написания скриптов на Bash и Python для задач автоматизации.
— Навыки работы с системами мониторинга и логирования (Prometheus, Grafana, ELK/Loki).
— Понимание принципов отказоустойчивости и масштабируемости сервисов (репликация, шардирование, горизонтальное/вертикальное масштабирование).
— Будет плюсом опыт развёртывания и настройки брокеров сообщений (Kafka, RabbitMQ), систем кэширования (Redis), баз данных (PostgreSQL, MongoDB), а также распределённых хранилищ и объектных систем (Ceph, Longhorn, MinIO).
Условия:
— Оформление по ТК РФ.
— График работы: 5/2, с 9.00 до 18.00. Работа на территории Компании.
— Предоставление ДМС.
— Офис в шаговой доступности от метро Динамо, Савеловская.
Задачи:
— Разработка от исследования до прода, включая совместную с командой проработку архитектуры, выбор подходов и библиотек, декомпозицию задач.
— Поддержка и развитие существующей кодовой базы: рефакторинг, оптимизация производительности, устранение техдолга.
— Code review, менторинг junior-разработчиков.
— Быстрое прототипирование новых идей и концептов (PoC / MVP).
— Реализация пилотных интеграций: сторонние сервисы, AI API, новые UI-паттерны.
— Настройка A/B-тестов и feature flags для валидации гипотез на реальных пользователях.
— Сбор и анализ метрик по результатам пилотов — формирование выводов для принятия решений о масштабировании.
— Итеративная доработка пилотов до production-ready состояния при положительных результатах.
Требования:
— Коммерческий опыт frontend-разработки от 5+ лет.
— Отточенный навык писать чистый и поддерживаемый код с соблюдением стандартов кодирования.
— Продвинутые знания и практический опыт работы с TypeScript.
— Глубокое понимание React и его экосистемы.
— Уверенный опыт адаптивной и кроссбраузерной вёрстки.
— Опыт декомпозиции на переиспользуемые компоненты и модули.
— Понимание паттернов проектирования (композиция, HOC, render props, compound components).
— CI/CD — понимание пайплайнов, деплоя фронтенда.
Будет плюсом:
— Знание основ Docker/Docker Compose/K8n.
— Опыт с дизайн-системами и компонентными библиотеками (Storybook).
— Понимание основ UX/UI.
— Опыт использования AI-ассистентов для разработки (Claude Code, GitHub Copilot, Cursor).
— Понимание возможностей LLM API (OpenAI, Anthropic) и опыт интеграции в продукт.
— Знакомство с RAG-паттернами, embeddings, vector databases.
— Опыт создания AI-powered фич в пользовательских интерфейсах (чат-боты, автокомплит, генерация контента).
Условия:
— Оформление в соответствии с ТК РФ (ТД или ИП).
— Формат работы: удаленно, с возможностью посещения офиса в Москве для получения техники и решения проблем с оборудованием.
— Своевременная заработная плата, выплачивается 2 раза в месяц, сумма обсуждается на собеседовании.
— График 5/2 с 9:00 до 18:00; выходные — суббота и воскресенье.
— ДМС и стоматология после испытательного срока.
— Предоставление техники (MacBook).
— Компания входит в список IT лицензированных аккредитованных компаний.
— Отсутствие бюрократии, прозрачность, быстрое принятие решений, уважение к каждому члену команды.
— Поддержка в значимых событиях.
УдалённоseniorГеография найма не уточнена, офис: Москва
Location: Chicago
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
Our philosophy:
We believe in relentless automation of repetitive tasks.
We have the curiosity and drive to dig deep and find creative solutions.
We believe our goal is to find the right solution rather than always being right.
We provide exceptional customer service to our teams and trading desks.
We care more that the right thing is done than about rigid job descriptions or boundaries.
What you’ll do:
Administer core Microsoft services: Active Directory, DNS, DHCP, Group Policy, Exchange (on-premise, Online, hybrid).
Deploy, maintain and support Windows Server environments (2016–2025).
Support Microsoft cloud services (Entra ID, OneDrive, Copilot, Microsoft 365 services).
Configure single sign on and federation (SAML, OAuth/OIDC, SCIM).
Triage and resolve tickets from the operations queue; respond to critical production incidents.
Implement planned and ad hoc changes in accordance with firmwide change management processes.
Maintain clear system documentation and capture specialized configurations as repeatable runbooks.
Participate in a global support team with on call rotation and occasional weekend maintenance.
Your background:
5+ years managing Windows Server infrastructure in high visibility, mission critical environments.
Deep expertise in Windows Server services: Active Directory, Group Policy, DNS, DHCP, Failover Clustering, load balancers.
Hands on experience with Entra ID, Exchange (Server/Online/Hybrid), MECM (SCCM).
Proficient with scripting (PowerShell, Python), IAC (e.g. Terraform, Ansible) and version control (GitHub, GitLab, Bitbucket).
Strong networking knowledge and experience with server hardware and hypervisor/VM deployments.
Excellent documentation and knowledge management skills; ability to turn ad hoc tasks into documented, repeatable processes.
Proven ability to troubleshoot and resolve critical issues under pressure (trading/low latency environments a plus).
Strong written and verbal communication skills. You can work across teams and have evidence-based discussions on technical and operational topics
You are eager to learn, collaborate, and find solutions under interesting constraints
Bonus points if you have:
Experience with Splunk, Grafana, Alertmanager, Prometheus
Familiarity with containerization and Kubernetes.
Prior experience in the trading or financial services industry.
The annual base salary range for this position is $155,000 to $185,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
[#LI-SK1]
Location: Remote
Workplace: Remote
Phantom https://phantom.com is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide.
Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Check out our Forbes Fintech 50 https://www.forbes.com/sites/ninabambysheva/2026/02/23/inside-phantoms-battle-plan-to-win-the-crypto-fueled-superapp-war/ and CNBC and Statista's World's Top Fintech Companies 2026 https://www.cnbc.com/worlds-top-fintech-companies-2026/!
We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm.
Platform security is foundational to protecting Phantom and the systems our users rely on. We’re hiring a Senior Platform Security Engineer to own and improve security across our AWS and Kubernetes environments. You’ll work directly with infrastructure and engineering teams to secure the control planes, identities, workloads, and deployment systems behind our most critical products.
We’re building an AI-native security team that aggressively uses AI to expand the speed, depth, and reach of our work. We’re looking for a strong security engineer with high agency who can identify the risks that matter, build practical controls, and own problems through verified remediation. This is a hands-on role for someone who is comfortable working in production systems, writing code and infrastructure, responding to incidents, and making security improvements without slowing down the teams building on the platform.
This role is fully remote; however, we’re only open to candidates based in the US and Canada.
RESPONSIBILITIES
- AWS Security: Own and improve security across Phantom’s multi-account AWS environment, including IAM, Identity Center, networking, compute, storage, secrets, logging, and organization-level guardrails.
- Kubernetes Security: Secure production Kubernetes environments running on Amazon EKS, including cluster configuration, workload identity, RBAC, admission controls, network boundaries, secrets, container security, and tenant isolation.
- Identity and Access: Design least-privilege access models for engineers, services, and automation. Build scoped, auditable, and time-bound access paths for sensitive production systems.
- Mission-Critical Systems: Protect the infrastructure supporting products and services that handle sensitive data and high-value operations.
- Cloud Security Architecture: Lead security design for new infrastructure, platform services, and major architectural changes.
- Infrastructure and Policy as Code: Build reusable security controls using tools such as Pulumi, Terraform, Kubernetes policy engines, and automated configuration validation.
- CI/CD and Supply Chain Security: Harden build, deployment, and release systems, including GitHub Actions, workload federation, build runners, dependencies, artifacts, signing, provenance, and access to production environments.
- Security Automation: Build tools that identify and remediate cloud and Kubernetes risks at scale. Apply AI-assisted workflows where they materially improve analysis, coverage, or response speed.
- Cross-Functional Leadership: Partner closely with Infrastructure, SRE, Developer Experience, and product engineering teams. Establish practical platform-security standards and help teams adopt them.
QUALIFICATIONS
- 7+ years of experience in platform security, cloud security, infrastructure security, security engineering, or a closely related engineering role.
- Deep, hands-on experience securing production AWS environments. You understand IAM and resource policies, workload identity, network security, secrets management, logging, organization-level controls, and the ways these systems fail in practice.
- Deep experience securing Kubernetes in production, preferably Amazon EKS, including RBAC, workload identity, admission policy, network policy, pod security, secrets, and cluster hardening.
- Experience designing or securing mission-critical systems where compromise, excessive privilege, or loss of availability could have significant customer or business impact.
- Strong understanding of identity, authorization, least privilege, isolation, and blast-radius reduction across both human and machine access.
- Experience securing CI/CD and software supply chains, including GitHub Actions or similar systems, build runners, workload federation, artifacts, and production deployment paths.
- Experience writing and reviewing infrastructure as code using Pulumi, Terraform, CloudFormation, or similar tools.
- Ability to write production-quality code or automation in a language such as TypeScript, Python, Go, or Rust.
- High agency and ownership. You can take an ambiguous platform-security problem from initial investigation through implementation and verified remediation.
- Clear communication and a strong track record of partnering with infrastructure and engineering teams while maintaining a high security bar.
NICE TO HAVES
- Experience with AWS Nitro Enclaves or other trusted execution environments, including attestation, isolation boundaries, secure key handling, and operational lifecycle management.
- Experience securing financial, payments, wallet, custody, or other high-value transaction systems.
- Familiarity with key-management infrastructure, AWS KMS, CloudHSM, cryptographic signing systems, or secrets-management platforms.
- Experience operating or securing multi-region Kubernetes and AWS environments at significant scale.
- Familiarity with service meshes and cloud-native networking technologies such as Istio, PrivateLink, Transit Gateway, or eBPF-based controls.
- Experience with GitHub OIDC, Argo CD, Helm, Crossplane, or Kubernetes-based infrastructure delivery.
- Experience using cloud-security and observability platforms such as Wiz, Datadog, GuardDuty, Security Hub, or CloudTrail.
- Experience building policy-as-code, automated remediation, or security tooling used by a large engineering organization.
- Familiarity with blockchain infrastructure or self-custodial wallet architecture.
The target base salary for this role will range between $200,000 to $250,000 with the addition of equity and benefits. This is determined by a few factors including your skillset, prior relevant experience, quality of interviews and market factors (such as location) at the point in time of offer.
Why Work With Us
Phantom's journey to becoming a global trading app began with making crypto easier to use. Today, we’re building on that foundation to help people discover the markets that matter, make informed financial moves, and safely store or spend their money worldwide. Joining Phantom means helping shape that next chapter: building products that bring the freedom of open markets to more people.
- Build for global impact: Create products used by tens of millions of people, making innovative financial markets more accessible to users around the world.
- Make complexity feel simple: Solve meaningful challenges across design, engineering, and user experience to make discovering markets and managing money seamless.
- Put users in control: Help build a future where people have greater freedom over their assets and financial decisions, with security and self-custody at the foundation.
Benefits (only available to full-time employees)
- Competitive salary and equity
- Comprehensive insurance (medical/dental/vision): base plan 100% covered
- Flexible hours and a long-standing, supportive remote environment
- Unlimited vacation: Take time when you need it (and we really mean it!)
- 401(k) retirement plan
- Wellness stipend
- Weekly meal stipend
- Learning & Development stipend
- Remote / WFH set-up stipend
We strongly encourage candidates of all backgrounds to apply. We believe that our work is stronger with a variety of perspectives, and we’re eager to further diversify our company. If you have a background that you feel would make an impact at Phantom, please consider applying. We’re committed to building an inclusive, supportive place for you to do the best work of your career.
By submitting your resume and application materials, you acknowledge and agree that Phantom Technologies, Inc. ("Phantom") collects and processes your personal information (including application materials, interview records, and related data) to evaluate your candidacy. Phantom may use AI-powered tools and third-party service providers for transcription, note-taking, scheduling, and other administrative tasks. Phantom does not sell your information and your materials will be handled securely and in accordance with applicable data protection laws.
Location: Canada (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote position. We are seeking candidates in US and Canada (EST/CST time zones)
The Opportunity
About Grafana Frontend
The Grafana Frontend group is responsible for the end to end user experience on Grafana the observability product and Grafana the platform used by many engineers to build plugins. Our squads are responsible for dashboards, data visualization and manipulation, navigation across the ecosystem, sharing experience, content search,organisation and more.
You'll also have the opportunity to work across the Grafana Frontend team and partner with other squads within the Grafana department to drive innovation and solve complex engineering challenges.
The squad: DataViz
We build and evolve the Grafana Visualizations. We want to give our users the ability to visualize their data in a way that’s easy to set up and understand, so they can pull out interesting and valuable insights.
Some of our recent projects include:
Externalisation of our core visualization to be independently releasable and remove interdependencies
GraphViz
: Visualize relationships, flows, and architectures using the Graphviz DOT language with live metrics from any Grafana data source.
Raising the bar on quality and reliability: improving our test coverage, introduce a new testing strategy and tooling for visual regressions
Refresh the look and feel of our existing
visualizations
. E.g
Table
and
Gauge
Our work is open source, you can browse
grafana/grafana on GitHub
directly to see how we build our software. Our stack is primarily Typescript, React, and
uPlot
and
eCharts
for our visualisations.
What you’ll be doing
Lead multi-quarter technical initiatives from problem framing through rollout. Including getting user feedback and measuring whether what you shipped actually worked
Mentor and collaborate with other engineers. Raise the engineering bar through code review, design feedback, pairing on hard problems, and writing that leaves the team better than you found it.
Participate in on-call for the services you help build, and be a force multiplier in incident response and post-incident learning.
Provide technical support in customer escalations and help us identify areas of high friction to address.
Cross-squad collaboration: Represent the team's work outside the team, write the design proposals, run the demos, and make the case for our roadmap in cross-team discussion.
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What makes you a great fit:
We highly value those who are
intellectually curious
, who
default to transparency
, possess a high
bias towards action
, and who are also
kind and enjoy working as a team
.
Technical leadership
. You have solid experience leading teams through projects, mentoring other engineers and serving as a force-multiplier. You communicate clearly in a fully remote, asynchronous environment.
You
take responsibility for operating the software you have built
. You have experience being on-call, supporting software in production, ensuring reliability and responding to incidents as needed.
You
enjoy working on complex solutions
, building production software systems. You’re a self-starter, capable of tackling complex engineering problems with minimal supervision.
User focus and pragmatism
. You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate.
AI experience with a practical mindset
: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory.
You
care about our community
of users and contributors and are keen to be an active Grafana Community Contributor.
Bonus points for:
Open-source contribution or maintainership, and comfort engaging a community in the open.
Have an active interest in observability (Metrics, Logs and Traces) and have experience with tools like Grafana, Prometheus, or other observability platforms.
Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab).
Experience in a fully remote, globally distributed team.
In Canada, the compensation range for this role is $186,368 - $223,642 CAD. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote position. We are seeking candidates in US and Canada (EST/CST time zones)
The Opportunity
About Grafana Frontend
The Grafana Frontend group is responsible for the end to end user experience on Grafana the observability product and Grafana the platform used by many engineers to build plugins. Our squads are responsible for dashboards, data visualization and manipulation, navigation across the ecosystem, sharing experience, content search,organisation and more.
You'll also have the opportunity to work across the Grafana Frontend team and partner with other squads within the Grafana department to drive innovation and solve complex engineering challenges.
The squad: DataViz
We build and evolve the Grafana Visualizations. We want to give our users the ability to visualize their data in a way that’s easy to set up and understand, so they can pull out interesting and valuable insights.
Some of our recent projects include:
Externalisation of our core visualization to be independently releasable and remove interdependencies
GraphViz
: Visualize relationships, flows, and architectures using the Graphviz DOT language with live metrics from any Grafana data source.
Raising the bar on quality and reliability: improving our test coverage, introduce a new testing strategy and tooling for visual regressions
Refresh the look and feel of our existing
visualizations
. E.g
Table
and
Gauge
Our work is open source, you can browse
grafana/grafana on GitHub
directly to see how we build our software. Our stack is primarily Typescript, React, and
uPlot
and
eCharts
for our visualisations.
What you’ll be doing
Lead multi-quarter technical initiatives from problem framing through rollout. Including getting user feedback and measuring whether what you shipped actually worked
Mentor and collaborate with other engineers. Raise the engineering bar through code review, design feedback, pairing on hard problems, and writing that leaves the team better than you found it.
Participate in on-call for the services you help build, and be a force multiplier in incident response and post-incident learning.
Provide technical support in customer escalations and help us identify areas of high friction to address.
Cross-squad collaboration: Represent the team's work outside the team, write the design proposals, run the demos, and make the case for our roadmap in cross-team discussion.
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What makes you a great fit:
We highly value those who are
intellectually curious
, who
default to transparency
, possess a high
bias towards action
, and who are also
kind and enjoy working as a team
.
Technical leadership
. You have solid experience leading teams through projects, mentoring other engineers and serving as a force-multiplier. You communicate clearly in a fully remote, asynchronous environment.
You
take responsibility for operating the software you have built
. You have experience being on-call, supporting software in production, ensuring reliability and responding to incidents as needed.
You
enjoy working on complex solutions
, building production software systems. You’re a self-starter, capable of tackling complex engineering problems with minimal supervision.
User focus and pragmatism
. You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate.
AI experience with a practical mindset
: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory.
You
care about our community
of users and contributors and are keen to be an active Grafana Community Contributor.
Bonus points for:
Open-source contribution or maintainership, and comfort engaging a community in the open.
Have an active interest in observability (Metrics, Logs and Traces) and have experience with tools like Grafana, Prometheus, or other observability platforms.
Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab).
Experience in a fully remote, globally distributed team.
In the United States, the compensation range for this role is $174,986 - $209,983 USD. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Poland
OUR HIRING PROCESS:
We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live.
INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our
Privacy Policy
We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement.
This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch.
Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers.
As part of our team, your responsibilities in this role will include:
Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed.
Build and maintain MCP servers and tool layers that give agents governed access to company data and systems.
Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing.
Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks.
Contribute to shared platform pieces: the agent template, the LLM gateway, observability.
Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent.
Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes.
Our ideal candidate possesses the following skills:
5+ years of software engineering experience, with production systems you've designed, shipped and supported.
Proven experience building LLM-based agents or agentic workflows that reached production with real users.
Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one.
Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data.
Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management.
Strong Python and SQL. Comfortable in TypeScript/Node.js.
Solid production engineering on AWS: Docker, CI/CD, testing, observability.
Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes.
Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce.
Clear communication with technical and non-technical stakeholders, in English.
Nice to have:
LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar).
B2B contact and company data: enrichment, deduplication, matching.
Cloud operations or FinOps: monitoring, incident handling, cost management.
Event-driven or workflow-engine experience (Kafka, Temporal or similar).
Experience replacing no-code or workflow-tool automations with production code.
What we offer:
Fully remote work format;
A collaborative and creative environment that values initiative and experimentation;
Paid time off and sick leave;
Reduced working hours on Fridays during the summer;
Days-off on US national holidays + your birthday;
Schedule: 14 PM - 23 PM EEST (Kyiv time).
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УдалённоseniorРоссия, США; Условия: B2B-контракт (с ИП) Оплата в долларах США Part-time: ориентировочно 5–20 часов в неделю Минимальный ожидаемый объем — 1–2 задачи в неделю На выполнение одной задачи обычно требуется от 5 до 10 часов, в зависимости от сложности Локация — строго вне РФ (либо уже находиться за пределами РФ, либо быть готовым к самостоятельной релокации) Старт — ASAP
УдалённоseniorРоссия, США; Условия: B2B-контракт (с ИП) Оплата в долларах США Part-time: ориентировочно 5–20 часов в неделю Минимальный ожидаемый объем — 1–2 задачи в неделю На выполнение одной задачи обычно требуется от 5 до 10 часов, в зависимости от сложности Локация — строго вне РФ (либо уже находиться за пределами РФ, либо быть готовым к самостоятельной релокации) Старт — ASAP
seniorBengaluru, Karnataka, India, APAC
УдалённоleadГермания, Великобритания, Ирландия, Нидерланды, Португалия; For this role, we can hire candidates based in the UK, Ireland, Germany, Portugal or The Netherlands
ГибридseniorBangalore
ОфисМосква
seniorChicago
УдалённоКанада, США; This role is fully remote; however, we’re only open to candidates based in the US and Canada; We strongly encourage candidates of all backgrounds to apply
Canada (Remote); We are seeking candidates in US and Canada (EST/CST time zones)
United States (Remote); We are seeking candidates in US and Canada (EST/CST time zones)
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