Вакансии

CRANEAPP — мессенджер нового поколения. Мы создаём масштабный коммерческий IT-продукт, основанный на трёх ключевых принципах: Безопасность Скорость и отказоустойчивость Современный интерфейс и продуманный UX Команда CRANEAPP объявляет набор JavaScript-разработчиков. Направления: — Дизайн-фронтенд — вёрстка, CSS, анимации, React, JavaScript — Frontend — React, JavaScript; TypeScript приветствуется — Backend — Golang, PostgreSQL, REST; Rust — опционально Мы предлагаем: — участие в живом проекте с высокой нагрузкой; — работу над продуктом федерального уровня; — возможность предлагать и внедрять собственные решения; — профессиональное развитие в окружении сильных коллег; — удалённый формат работы.

О нас за минуту DV Group — это eRetail маркетинг. У нас две собственные платформы: CDP (DV Platform) — сегментирует покупателей по чековым данным, MAID, строит Sales Lift. DSP (DV Programmatic) — закупает трафик в RTB с таргетингом на реальных онлайн-покупателей (не на интересы). Уникальная интеграция с ПБД. Что предстоит делать Разработка и внедрение ML-моделей Анализ больших объемов данных Построение recommendation / prediction моделей Подготовка и очистка данных Проведение A/B тестов Написание сложных запросов ClickHouse и их оптимизация Взаимодействие с frontend-разработчиками, backend-разработчиками, аналитиками, product-менеджером и DevOps Кто нам нужен Python, SQL, Spark, ClickHouse pandas, numpy, scikit-learn Опыт работы с ML-моделями Работа с оркестраторами (Dagster, Airflow) и Kubernetes Понимание статистики и теории вероятностей Способность разрабатывать надежные ETL пайплайны Что предлагаем Зарплата: 200 000 – 220 000 ₽ оклад net + годовая премия Формат: гибрид или полная удалёнка, но ты проживаешь в РФ График: 10:00–19:00 ДМС со стоматологией после испытательного срока, локация Москва Свой бариста в офисе и правда классный Экспертная среда — никакой скуки, только реальные AdTech-задачи и возможность влиять на продукт Продукт в реестре отечественного ПО — это важно для нас и для клиентов.

Задачи: • Создание автоматизированных систем на базе ИИ • Разработка backend AI-платформы: REST API, БД, фоновые задачи, интеграции с AI-сервисами • Разработка frontend и админ-панели (React / Next.js) • Интерфейсы загрузки, генерации и отображения изображений/видео • Платёжные сценарии и пополнение баланса • Обработка длительных AI-генераций и их статусов • Адаптивная вёрстка, локализация, тёмная/светлая тема • Оптимизация производительности, SEO и UX • Участие в проектировании архитектуры, написание тестов, code review Требования: • Python, FastAPI, SQLAlchemy — коммерческий опыт от 3 лет • JavaScript / TypeScript, React, Next.js (App Router, SSR, CSR, Server Components) — от 3 лет • REST API, авторизация (access/refresh tokens, cookies, protected routes) • State management: TanStack Query / SWR, Zustand / Redux Toolkit • Формы и валидация: React Hook Form, Zod • WebSocket / SSE / polling, очереди и фоновые задачи • PostgreSQL, интеграция внешних API и платёжных систем • Работа с файлами, S3, изображениями и видео • Адаптивная вёрстка по Figma, UI-компоненты и design system • Git, code review, базовое покрытие тестами • Самостоятельность: декомпозиция задач и доведение до production Будет плюсом: • Опыт AI-сервисов и работы с изображениями/видео • Интеграция платежей и загрузка файлов в S3 • Админ-панели, PWA, мультиязычность, дизайн-системы • Опыт работы с AI-инструментами (Cursor, Claude Code и др.) • Опыт создания/интеграции анимаций на сайте (GASP, Framer Motion, CSS & Tailwind или др) Условия: • Полностью удалённый формат • Сильная команда и развитие • Корпоративный английский • Адаптация и поддержка на старте

Задачи: — Функциональное и интеграционное тестирование веб-приложений — Анализ требований и участие в их проработке на ранних этапах — Подготовка тестовой документации (тест-кейсы, чек-листы, тест-планы) — Тестирование API (внутренние и внешние сервисы) — Выявление, документирование и сопровождение дефектов — Регрессионное тестирование перед релизами — Взаимодействие с аналитиками и разработчиками — Участие в улучшении процессов качества Требования: — Опыт работы QA от 2–3 лет — Понимание видов тестирования — Умение писать понятные и воспроизводимые баг-репорты — Опыт тест-дизайна — Опыт тестирования API: REST / JSON / XML — Уверенное использование инструментов: Postman или Insomnia — Понимание HTTP-методов и кодов ответов — Понимание авторизации (token, basic, etc.) — Опыт тестирования интеграций между системами — Базовое понимание веб-разработки: HTTP / HTTPS, клиент-серверная архитектура — Опыт работы или понимание PHP (на уровне чтения логов / кода) — Опыт работы или понимание 1C-Bitrix — Базовые знания SQL (на уровне SELECT, JOIN) — Умение работать с логами (nginx, backend) — Опыт работы с баг-трекингом и управлением задачами: Jira / YouTrack / Яндекс трекер — Опыт работы с документацией: Confluence — Опыт работы с API: Postman — Дополнительно будет плюсом: Charles / Fiddler (прокси), Kibana / Grafana (логи и метрики) Условия: — График работы 5х2, с 10 до 19 — Трудоустройство по ТК РФ, оформление с 1-го рабочего дня — Заработная плата до 150 000 руб. — Выстроенная система обучения — Возможность карьерного роста

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

Задачи: - Составлять тестовую документацию: тест-кейсы, тест-планы, чек-листы, протоколы тестирования релизов; - Изучать и оценивать требования к ПО на предмет полноты и покрытия функциональности; - Функциональное, регрессионное, интеграционное тестирование; - Анализ, воспроизведение, локализация дефектов; - Участие в создании автотестов; - Работа в JIRA/Confluence/Bitbucket. Требования: - Опыт тестирования enterprise решений от 3 лет; - Знание методик тестирования; - Опыт тестирования REST API; - Знание JSON и XML(XSD); - Умение работать с консолью браузера; - Знания JavaScript; - Умение писать автотесты на фреймворке Jest с использованием Selenium. Желательные навыки: - Участие в реализации web-проектов с нуля; - Знание backend-стека (Node.js, Express, Sequelize, PostgreSQL, ClickHouse). Условия: - Оформление в штат аккредитованной ИТ-компании по ТК РФ или ИП: полностью белая заработная плата, оплачиваемые отпускные и больничные; - Индексация заработной платы; - Расширенная программа ДМС; - Скидки на фитнес, кино и уроки английского; - Техника по требованиями проекта.

Задачи: — преподавание в одной из следующих областей: web development (full stack / frontend / backend), кибербезопасность (основы cybersecurity, ethical hacking), ai engineering (Python, machine learning, LLM), web design (UI/UX, Figma). Требования: — опыт и портфолио в выбранной области не менее 1–2 лет; — умение просто и интересно объяснять сложные концепции; — опыт преподавания или наставничества (преимущество); — ответственность и заинтересованность в результатах учеников. Условия: — современная IT-лаборатория, оснащённая новейшими технологиями; — гибкий график работы (подходит и для студентов); — возможность участия в сильной сети профессионалов и других проектах. Местоположение: Yangihayot tumani, TIST здание.

Задачи: — Составлять тестовую документацию: тест-кейсы, тест-планы, чек-листы, протоколы тестирования релизов; — Изучать и оценивать требования к ПО на предмет полноты и покрытия функциональности; — Функциональное, регрессионное, интеграционное тестирование; — Анализ, воспроизведение, локализация дефектов; — Участие в создании автотестов; — Работа в JIRA, Confluence, Bitbucket. Требования: — Опыт тестирования enterprise решений от 3 лет; — Знание методик тестирования; — Опыт тестирования REST API; — Знание JSON и XML (XSD); — Умение работать с консолью браузера; — Знания JavaScript; — Умение писать автотесты на фреймворке Jest с использованием Selenium. Желательные навыки: — Участие в реализации web-проектов с нуля; — Знание backend-стека (Node.js, Express, Sequelize, PostgreSQL, ClickHouse). Условия: — Оформление в штат аккредитованной ИТ-компании по ТК РФ или ИП: полностью белая заработная плата, оплачиваемые отпускные и больничные; — Индексация заработной платы; — Расширенная программа ДМС; — Скидки на фитнес, кино и уроки английского; — Техника по требованиям проекта. Не рассматриваем Java, Python, TS и другие языки на данную позицию.

Задачи: — Работа в команде разработки платформы — конструктора функционала и модулей под бизнес-функции и продуктовую линейку управленческой отчётности для крупного банка — 80% автоматизированного тестирования — Составлять тестовую документацию: тест-кейсы, тест-планы, чек-листы, протоколы тестирования релизов — Изучать и оценивать требования к ПО на предмет полноты и покрытия функциональности — Функциональное, регрессионное, интеграционное тестирование — Анализ, воспроизведение, локализация дефектов — Участие в создании автотестов — Работа в JIRA, Confluence, Bitbucket Требования: — Опыт тестирования enterprise решений от 3 лет — Знание методик тестирования — Опыт тестирования REST API — Знание JSON и XML (XSD) — Умение работать с консолью браузера — Знания JavaScript — Умение писать автотесты на фреймворке Jest с использованием Selenium Желательные навыки: — Участие в реализации web-проектов с нуля — Знание backend-стека: Node.js, Express, Sequelize, PostgreSQL, ClickHouse Условия: — Оформление в штат аккредитованной ИТ-компании по ТК РФ или ИП: полностью белая зарплата, оплачиваемые отпускные и больничные — Индексация заработной платы — Расширенная программа ДМС — Скидки на фитнес, кино и уроки английского — Техника по требованиям проекта

Обязанности: • Принять и изучить существующую архитектуру и кодовую базу. • Стать техническим владельцем продукта. • Самостоятельно разрабатывать ключевые backend-модули. • Развивать функции на... Требования: • Не менее 5 лет опыта коммерческой разработки. • Уверенное знание TypeScript, Node.js и NestJS. • Сильное понимание backend-архитектуры. • Практический опыт работы...

Location: Malmö About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Team: Neo4j's managed cloud offering, Aura, brings the power of graph databases to the cloud. We're forming a new Product Analytics Platform team. As Neo4j Aura’s platform and product surface area have grown, so has the need for a consistent, purpose-built way to capture what's happening across them. Today, each product tracks its own data, but retrieving it can be difficult. This team will own the Analytics API and infrastructure that collects raw product analytics events from across Neo4j's products so every team integrates with one contract instead of inventing their own. The Role: In this role you’ll be one of the founding members of the Product Analytics Platform team. You’ll help define the technical foundations for how product analytics data is captured across Aura, building the Analytics API and underlying infrastructure that provides a consistent integration point for engineering teams across Neo4j. You’ll have significant ownership over the design of the API, balancing the needs of multiple product teams with the long-term maintainability of the platform. You’ll work closely with Product Management and other engineering teams to shape the solution, drive adoption, and evolve it as the platform grows. Primary responsibilities Design, build, and operate the Analytics API and the underlying infrastructure, defining the schema and integration contract used by teams across Aura. Make pragmatic architectural decisions around event ingestion, data contracts, reliability, and scalability as the platform grows. Build a simple, well-defined integration layer that makes it easy for product teams to send analytics events without coupling them to the underlying data infrastructure. Drive adoption across the Engineering organisation, working with teams to integrate with the API and providing the guidance and documentation they need. Keep product analytics and billing concerns cleanly separated, even where the underlying data flows or infrastructure may be similar. Evaluate build vs. buy across the existing analytics and data stack, including tools such as Segment and BigQuery, keeping the API focused on collection rather than reimplementing downstream capabilities. Partner closely with the team building the downstream data pipeline to ensure raw events are reliable, well-structured, and usable for analytics. Define and evolve the platform through RFCs, technical documentation, and close collaboration with Product Management and other engineering teams. What you'll need Strong backend software engineering experience, with Go as your primary language, building and operating APIs, services, or ingestion systems that other teams depend on. Experience designing well-defined APIs and integration contracts, including thinking about schemas, backwards compatibility, validation, and how other engineering teams will consume them. Experience building production services in Go, from smaller utilities and scripts through to larger, long-running services or microservices. Some experience with TypeScript or JavaScript and an ability to work comfortably in a codebase that spans backend and frontend technologies. This is primarily a backend role — you won't be responsible for UI development. Familiarity with event-driven systems, data ingestion, or data pipeline tooling such as Segment, BigQuery, or similar. Ability to work independently in a new area, make pragmatic technical decisions, and drive work forward with limited direction. Comfortable writing RFCs and technical documentation, and working across teams to establish and drive adoption of a new integration point. Clear, concise communication — a lot of this role involves defining contracts, documenting decisions, and helping other engineers integrate with what you build. What's nice to have Experience with observability, including tracing, logging, and metrics. Experience integrating with GCP, AWS, or Azure. Experience working with product analytics, event tracking, or telemetry systems. #LI-Hybrid Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Location: London About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Team: Neo4j's managed cloud offering, Aura, brings the power of graph databases to the cloud. We're forming a new Product Analytics Platform team. As Neo4j Aura’s platform and product surface area have grown, so has the need for a consistent, purpose-built way to capture what's happening across them. Today, each product tracks its own data, but retrieving it can be difficult. This team will own the Analytics API and infrastructure that collects raw product analytics events from across Neo4j's products so every team integrates with one contract instead of inventing their own. The Role: In this role you’ll be one of the founding members of the Product Analytics Platform team. You’ll help define the technical foundations for how product analytics data is captured across Aura, building the Analytics API and underlying infrastructure that provides a consistent integration point for engineering teams across Neo4j. You’ll have significant ownership over the design of the API, balancing the needs of multiple product teams with the long-term maintainability of the platform. You’ll work closely with Product Management and other engineering teams to shape the solution, drive adoption, and evolve it as the platform grows. Primary responsibilities Design, build, and operate the Analytics API and the underlying infrastructure, defining the schema and integration contract used by teams across Aura. Make pragmatic architectural decisions around event ingestion, data contracts, reliability, and scalability as the platform grows. Build a simple, well-defined integration layer that makes it easy for product teams to send analytics events without coupling them to the underlying data infrastructure. Drive adoption across the Engineering organisation, working with teams to integrate with the API and providing the guidance and documentation they need. Keep product analytics and billing concerns cleanly separated, even where the underlying data flows or infrastructure may be similar. Evaluate build vs. buy across the existing analytics and data stack, including tools such as Segment and BigQuery, keeping the API focused on collection rather than reimplementing downstream capabilities. Partner closely with the team building the downstream data pipeline to ensure raw events are reliable, well-structured, and usable for analytics. Define and evolve the platform through RFCs, technical documentation, and close collaboration with Product Management and other engineering teams. What you'll need Strong backend software engineering experience, with Go as your primary language, building and operating APIs, services, or ingestion systems that other teams depend on. Experience designing well-defined APIs and integration contracts, including thinking about schemas, backwards compatibility, validation, and how other engineering teams will consume them. Experience building production services in Go, from smaller utilities and scripts through to larger, long-running services or microservices. Some experience with TypeScript or JavaScript and an ability to work comfortably in a codebase that spans backend and frontend technologies. This is primarily a backend role — you won't be responsible for UI development. Familiarity with event-driven systems, data ingestion, or data pipeline tooling such as Segment, BigQuery, or similar. Ability to work independently in a new area, make pragmatic technical decisions, and drive work forward with limited direction. Comfortable writing RFCs and technical documentation, and working across teams to establish and drive adoption of a new integration point. Clear, concise communication — a lot of this role involves defining contracts, documenting decisions, and helping other engineers integrate with what you build. What's nice to have Experience with observability, including tracing, logging, and metrics. Experience integrating with GCP, AWS, or Azure. Experience working with product analytics, event tracking, or telemetry systems. #LI-Hybrid Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Задачи: — Разрабатывать и поддерживать автоматизированные тесты на Java. — Проектировать новые тест-кейсы на основе функциональных и нефункциональных требований. — Выполнять функциональное, регрессионное и интеграционное тестирование (включая системы upstream и downstream). — Исследовать расхождения, выявленные в ходе регрессионного тестирования. — Поддерживать и обслуживать тестовые среды. — Сотрудничать с заинтересованными сторонами, разработчиками, бизнес-аналитиками, другими QA-инженерами и командами поддержки. Требования: — Опыт автоматизации тестирования backend с использованием Java не менее 5 лет. — Практический опыт автоматизации UI-тестирования. — Знание SQL. — Опыт чтения и анализа логов. — Хорошее понимание жизненного цикла разработки ПО (SDLC) и процессов тестирования. Условия: — Гибкий формат работы: удалёнка (Польша, Сербия, Грузия, Испания, Португалия, Армения) или гибридный формат при желании (Польша). — Медицинская страховка для сотрудников, находящихся в Польше. — 50% покрытие медицинской страховки для супругов и детей в Польше. — 24 дня оплачиваемого отпуска. — 10 дней оплачиваемого больничного. — 50% компенсация за профессиональное обучение, образование, конференции. — Работа в профессиональной команде. — Корпоративные мероприятия и тимбилдинги.

Location: Belgrade; London; Berlin Perplexity is seeking a DevOps engineer to join our small team in revolutionizing the way people search and interact with the internet. You will be responsible for leading the design, implementation, and scaling of the infrastructure, tooling and systems that support our Search feature. The ideal candidate should have experience in designing highly scalable infrastructure, building systems, tools and performing testing, monitoring, and maintenance. Our backend stack includes Python, Go, Rust, PostgreSQL, DynamoDB, Redis, and Kubernetes - built alongside dedicated in-house AI and search interfaces. Responsibilities: - Design and implement highly available, high-performance, and scalable systems. - Design and implement various tools for other engineers helping them with their day to day job. - Design and implement CI/CD and other workflows to enhance stability, robustness and speed of iteration. - Maintain and optimize key-value and relational databases. - Scale and load balance web server backends to meet rapidly changing needs. - Monitor systems and applications, proactively identifying and resolving reliability, scalability, or performance issues. - Develop monitoring tools, alerts, and dashboards to provide visibility into system health and performance. Qualifications: - Strong experience with cloud infrastructure built on AWS. - Proficient in database management and caching strategies. - Excellent problem-solving and troubleshooting skills, with the ability to analyze, debug, and resolve complex technical issues. - Experience working with containers (Docker, Kubernetes) and orchestration tools. - Excellent communication and collaboration skills. - Experience with Python and Terraform. - 3+ years of DevOps/SRE/System Administration experience.

Location: Belgrade; London; Berlin Perplexity is seeking a DevOps engineer to join our small team in revolutionizing the way people search and interact with the internet. You will be responsible for leading the design, implementation, and scaling of the infrastructure, tooling and systems that support our Search feature. The ideal candidate should have experience in designing highly scalable infrastructure, building systems, tools and performing testing, monitoring, and maintenance. Our backend stack includes Python, Go, Rust, PostgreSQL, DynamoDB, Redis, and Kubernetes - built alongside dedicated in-house AI and search interfaces. Responsibilities: - Design and implement highly available, high-performance, and scalable systems. - Design and implement various tools for other engineers helping them with their day to day job. - Design and implement CI/CD and other workflows to enhance stability, robustness and speed of iteration. - Maintain and optimize key-value and relational databases. - Scale and load balance web server backends to meet rapidly changing needs. - Monitor systems and applications, proactively identifying and resolving reliability, scalability, or performance issues. - Develop monitoring tools, alerts, and dashboards to provide visibility into system health and performance. Qualifications: - Strong experience with cloud infrastructure built on AWS. - Proficient in database management and caching strategies. - Excellent problem-solving and troubleshooting skills, with the ability to analyze, debug, and resolve complex technical issues. - Experience working with containers (Docker, Kubernetes) and orchestration tools. - Excellent communication and collaboration skills. - Experience with Python and Terraform. - 3+ years of DevOps/SRE/System Administration experience.

Задачи: - Разрабатывать, обучать и оптимизировать ML/AI-модели на PyTorch или TensorFlow - Проектировать end-to-end пайплайны обработки и подготовки данных - Работать с синтетическими данными и автоматизацией разметки - Интегрировать AI/ML-модели с backend и другими компонентами продукта - Подготавливать модели к production-деплою и масштабированию - Настраивать процессы мониторинга, версионирования и экспериментов с использованием MLOps-инструментов - Контейнеризировать ML-процессы с помощью Docker - Работать с облачной инфраструктурой AWS или аналогами - Участвовать в оптимизации inference и производительности моделей - Взаимодействовать с инженерами и другими участниками AI-команды на всех этапах разработки - Определять техническое направление AI-проектов, принимать ключевые архитектурные решения и обеспечивать техническое руководство командой на всех этапах разработки. Требования: - Опыт 4+ года коммерческого опыта в Machine Learning / AI Engineering - Практический опыт разработки и внедрения ML-моделей в production - Английский (свободный) - Уверенное понимание основ Machine Learning и Deep Learning - Знание методов оптимизации моделей и ключевых ML-метрик - Практический опыт с MLOps (MLflow/Kubeflow/AWS SageMaker или аналогичные) Условия: - Формат: Full-time - Локация: Ташкент (Офис) - Официальное трудоустройство по ТК УЗ - Занятость: полный рабочий день

Talablar: — High-load backend servislar bilan ishlash — Katta hajmdagi ma’lumotlar bilan ishlash — Davlat tizimlari bilan integratsiya qila olish — AI/ML va RAG/LLM servislar, monitoring va testlar qila olish — Kamida 4 yil commercial tajriba, shundan 2 yil Go bilan production tajribasi talab qilinadi Shartlar: — Ish turi: 9:00-18:00, offline 5/2 Kompaniya haqida: — Milliy statistika qo‘mitasi huzuridagi Raqamli statistika markazi

Задачи: — Работать с frontend с основным фокусом, но также с backend частями современного веб-приложения. — Понимать полный цикл разработки и эффективно работать с существующим production-кодом. Требования: — Минимум 3 года профессионального опыта в разработке программного обеспечения или веб-приложений. — Уверенное знание JavaScript и/или TypeScript. — Профессиональный опыт работы с React. — Опыт работы с Next.js. — Практическое знание Node.js. — Опыт работы с Express.js или аналогичными backend-фреймворками для Node.js. — Знание HTML5, CSS3, адаптивной верстки. — Опыт интеграции frontend-приложений с REST API. — Понимание аутентификации, состояния приложения, обработки ошибок и асинхронных процессов. — Понимание backend и баз данных, включая устройство backend на Node.js, маршрутизацию, контроллеры, сервисы, middleware, взаимодействие frontend и backend, принципы REST API, базовые концепции аутентификации и авторизации, основы реляционных баз данных, таблицы, связи, ключи, индексы, базовые запросы, связь моделей приложения со структурой базы данных. — Опыт работы с PostgreSQL, MySQL, Supabase, Prisma, Sequelize, TypeORM или аналогичными технологиями будет преимуществом. — Понимание принципов чистого и поддерживаемого кода, разделения ответственности, создания переиспользуемых компонентов и модулей, разумной структуры проекта, устранения дублирования, рефакторинга, обработки ошибок, code review, отладки, базовых практик тестирования, работы с Git и системами контроля версий. — Понимание важности структуры кода и влияния технических решений на проект. — Практический опыт использования AI-инструментов для разработки, таких как ChatGPT, Claude, Cursor, GitHub Copilot, Codex или другие AI-агенты. — Умение использовать AI для изучения кода, генерации и изменения реализации, отладки, рефакторинга, написания тестов, поиска технических решений, анализа и review кода, выявления edge cases, ускорения работы с большими кодовыми базами. — Способность самостоятельно оценивать и проверять сгенерированный AI код на соответствие архитектуре, соглашениям и технической корректности. Кого мы ищем: — Разработчика, который может самостоятельно понять новую функцию или задачу, изучить кодовую базу, реализовать решение и проверить его корректность. — Уверенного в задавании технических вопросов и самостоятельном исследовании кода, способного предлагать разумные технические решения.