Вакансии

Основные требования: — От 1 до 3 лет коммерческого опыта разработки на C# / .NET — Понимание принципов REST и HTTP — Навык проектирования реляционных баз данных — Навык чтения чужого кода и работы в команде — Соблюдение стандартов качества кода и code review — Готовность работать в условиях активно развивающегося продукта — Опыт использования AI-инструментов для разработки (Claude, ChatGPT, GitHub Copilot) для ускорения разработки, анализа и рефакторинга кода, подготовки документации и решения технических задач Обязательные знания: — C# / .NET — уверенное владение языком и экосистемой — ASP.NET Core — разработка REST API — Entity Framework Core — ORM, миграции, работа с БД — PostgreSQL — проектирование схем, написание запросов — JWT — аутентификация и авторизация — Паттерны проектирования — Repository, Service Layer, DI Будет преимуществом: — Опыт работы с SignalR (WebSocket) — Знание Hangfire или аналогов для фоновых задач — Опыт интеграции с внешними HTTP-сервисами (IHttpClientFactory, Polly) — Знание FluentValidation — Опыт работы с MinIO или S3-совместимыми хранилищами — Понимание Docker и основ контейнеризации — Базовые знания Kubernetes — Опыт с CI/CD пайплайнами (GitLab CI) — Знание принципов OpenAPI / Swagger Задачи: — Разработка и поддержка серверной части платформы цифрового ипотечного брокера — Разработка и поддержка REST API на ASP.NET Core — Работа с базой данных PostgreSQL через Entity Framework Core — Интеграция с внешними сервисами (банки, электронная подпись, госсервисы, SMS, хранилище файлов) — Реализация фоновых задач через Hangfire — Поддержка реального времени через SignalR — Написание юнит-тестов (NUnit, Moq) — Участие в code review Условия: — Уникальный проект BI Finance — цифровой ипотечный брокер, часть экосистемы BI Group — Разработка серверной части продукта с нуля на современном стеке (.NET Core, EF Core, PostgreSQL) — Интересные технические задачи: интеграции с банками, госсервисами и ЭЦП, работа с фоновыми задачами и real-time взаимодействием — Культура качественного кода: юнит-тестирование, code review, работа в команде с высокими стандартами разработки — Работа над продуктом с реальным влиянием на бизнес и клиентов — Возможность профессионального роста внутри продуктовой команды — Стабильность и ресурсы крупной группы компаний Формат работы: офис, с 08:00 до 17:30

Задачи: — Работать с клиентами JFrog для проектирования, настройки и построения CI/CD пайплайнов и DevOps платформы с использованием продуктов JFrog и современных технологий, таких как Docker, Kubernetes, IaC и Cloud Native — Сотрудничать с отделами продаж, поддержки, разработки и клиентами для успешного внедрения DevOps с использованием платформы JFrog — Настраивать, проектировать и строить CI пайплайны с Docker, NPM, Java, Pypi и другими инструментами (Binary Repositories, Distribution to Devices, Continuous Build Tooling) — Обучать open source сообщество и клиентов JFrog — Влиять на функции и дорожную карту продуктов JFrog на основе потребностей клиентов — Следить за последними тенденциями в области DevOps и CI/CD технологий — Строить прочные отношения с клиентами и сообществом Требования: — Опыт работы 7+ лет с инструментами Continuous Integration: CI Server, Git, Artifactory, Jenkins, Maven, Docker, NPM — Умение строить пайплайны доставки ПО с Docker, npm, Java, Pypi и различными DevOps инструментами, включая управление бинарными репозиториями и сканирование — Хорошее понимание инфраструктуры и операций: хранение, сеть, вычисления, безопасность, облака (публичные и on-prem) — Опыт работы с Continuous Deployment и Delivery инструментами: Chef, Puppet, Ansible, Kubernetes — Практический опыт работы с Linux (обязательно) — Практический опыт работы с облачной инфраструктурой AWS, Azure или GCP (обязательно) — Опыт работы с клиентами, хорошие межличностные и ориентированные на сервис навыки — Опыт работы с серверным ПО как on-premise, так и в облаке — Опыт в проектировании архитектуры ПО и разработке продуктов будет плюсом — Непреклонное желание учиться — Открытость к open source Условия: — Возможность удаленной работы для кандидатов, находящихся вне досягаемости офиса в Атланте — Базовая зарплата от 130000 до 150000 CAD в год, зависит от навыков, квалификации, опыта и местоположения — Возможность получения бонусов или комиссионных — Пакет акций (RSU) и участие в программе покупки акций для сотрудников — Комплексный социальный пакет: медицинское, стоматологическое, офтальмологическое страхование, пенсионные программы, программы оздоровления и др. JFrog является работодателем с равными возможностями и рассматривает всех кандидатов без дискриминации по любым признакам.

Задачи: — Работать с клиентами JFrog для проектирования, настройки и построения CI/CD пайплайнов и DevOps платформы с использованием продуктов JFrog и современных технологий и практик, таких как Docker, Kubernetes, IaC и Cloud Native — Сотрудничать с отделами продаж, поддержки клиентов, поддержки и разработки, а также напрямую с разработчиками и DevOps специалистами для обеспечения успешного внедрения DevOps с использованием платформы JFrog — Настраивать, проектировать и строить CI пайплайны с Docker, NPM, Java, Pypi и др. (управление бинарными репозиториями, дистрибуция на устройства и инструменты непрерывной сборки) — Обучать open source сообщество и клиентов JFrog — Влиять на функционал и дорожную карту инструментов JFrog на основе потребностей клиентов — Следить за последними тенденциями в области DevOps и CI/CD технологий — Строить прочные отношения с клиентами и сообществом Требования: — Опыт 5-7+ лет с инструментами непрерывной интеграции: CI Server, Git, Artifactory, Jenkins, Maven, Docker, NPM — Умение строить пайплайны доставки ПО с Docker, npm, Java, Pypi и различными DevOps инструментами, такими как Git, управление бинарными репозиториями, сканирование бинарных файлов и непрерывная интеграция — Хорошее понимание инфраструктуры и операций: хранение, сеть, вычисления, безопасность, облака (публичные и on-prem) — Опыт с инструментами непрерывного развертывания и доставки: Chef, Puppet, Ansible, Kubernetes — Практический опыт работы с Linux (обязательно) — Практический опыт работы с облачной инфраструктурой AWS, Azure или GCP (обязательно) — Опыт работы с клиентами, хорошие межличностные и ориентированные на сервис навыки — Опыт работы с серверным ПО как on-premise, так и в облаке — Опыт проектирования архитектуры ПО и разработки продуктов будет плюсом — Непреклонное желание учиться — Открытость к open source Условия: — Возможность удаленной работы для кандидатов, находящихся вне досягаемости офиса в Атланте — Базовая зарплата от $135,000 до $145,000 в год, зависит от навыков, квалификации, опыта и местоположения — Возможность получения бонусов или комиссионных — Пакет акций (RSU) и участие в программе покупки акций для сотрудников — Комплексный социальный пакет: медицинское, стоматологическое, офтальмологическое страхование, пенсионные программы, программы оздоровления и многое другое JFrog является работодателем с равными возможностями и рассматривает всех кандидатов без дискриминации по любым признакам.

Location: Vladivostok Workplace: onsite ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com.   ABOUT YOU We are looking for a Backend Engineer at junior level to join our APAC Partnerships team in Vladivostok, working alongside our HQ Integration Management and Engineering teams. Your job is to make partnerships technically real: turning an inbound partnerships inquiry into a working integration, generating and serving the affiliate and referral links that Traffic Source Partners use, and making sure the traffic those links carry lands correctly in our Web Shops and is attributed all the way through to a purchase. You will write the backend that sits between a partner and our commerce platform — link generation, click and conversion tracking, attribution pass-through, postbacks, and the reporting endpoints that feed partner payouts. You will also build the internal tooling that lets the Partnerships and Customer Success teams onboard partners and reconcile payouts without hand-editing spreadsheets. This is an entry-level engineering role with genuine product surface area. Recent graduates and career-changers with a strong project portfolio are welcome. If you like small, well-scoped systems that other people depend on daily, and you want to learn commerce, attribution, and payments engineering from a team that runs it at global scale, we would love to hear from you. RESPONSIBILITIES Build partner integrations Build and maintain backend services that power Traffic Source partnerships: affiliate and referral link generation, click and conversion tracking, attribution parameter pass-through, server-to-server postbacks and webhooks, and partner-facing reporting endpoints. Take new partnerships inquiries from intake through to production — clarify the requirement with the Partnerships and BD teams, write the technical spec, implement, test, and deploy. Integrate affiliate links with Xsolla Web Shops so partner-driven traffic is tracked end to end and attributed correctly at checkout. Read a partner's API documentation and build against it; where a partner needs to build against us, document our side clearly and support their integration. Tooling & data Build internal tooling and scripts for partner onboarding, bulk link generation, performance data extraction, and payout reconciliation reporting used by the Customer Success and Partnerships teams. Investigate and resolve attribution and tracking discrepancies together with Analytics and Customer Success — missing conversions, duplicate events, broken parameters, timing mismatches. Add logging, metrics, and alerting so integration failures are caught by us rather than reported by a partner. Ways of working Write and maintain API documentation and integration guides for partners and internal stakeholders. Participate in code review, write tests, and work within existing CI/CD pipelines and Git workflows. Work with the HQ Engineering and Integration Management teams on standards and architecture; escalate design decisions early rather than working around them. Collaborate closely with the Partnerships Designer on the frontend surfaces your integrations power, and with Customer Success on the payout data your services produce. Track work in Jira and keep technical documentation current in Confluence. REQUIREMENTS 1–4 years of professional backend development experience, or a strong portfolio of personal, academic, or internship projects you can walk us through. Recent graduates are welcome. Working proficiency in at least one backend language — Go, PHP, Python, Node.js / TypeScript, or Java. Solid SQL and relational database fundamentals (schema design, joins, indexing basics). Good understanding of HTTP, REST APIs, JSON, webhooks, and API authentication (API keys, OAuth 2.0). Comfortable with Git and working in a code-review culture. Able to debug a problem you did not write — read logs, reproduce, isolate, and explain the cause. English sufficient for technical discussion and written documentation with HQ teams; Russian for day-to-day work in the Vladivostok office. Based in, or willing to relocate to, Vladivostok for an onsite role. NICE TO HAVE Exposure to affiliate or performance marketing technology: tracking pixels, S2S postbacks, click IDs and UTM parameters, last-click attribution, deduplication, or traffic-quality and fraud filtering. E-commerce, storefront, checkout, or payments integration experience. Frontend basics (JavaScript / TypeScript, React) — enough to work productively with the Partnerships Designer on shop and landing-page surfaces. Docker, CI/CD pipelines, and cloud platforms (GCP or AWS). Message queues, scheduled jobs, or data pipeline experience. Familiarity with analytics or BI tooling. Interest in the gaming industry, fintech, or high-load consumer platforms. BENEFITS We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Benefits   Convenient working tools: New Mac laptop and any other necessary equipment for your efficient work. Google Workspace, Atlassian, Jira, Slack   Professional growth: Paid professional training and attendance at specialized conferences Exchange of experience between employees within the company Opportunity for professional growth within the company and department Obtaining expertise in various areas and products of the company   More perks Possibility of flexibility working Access to the corporate library Health & dental insurance No dress code Comfortable and new office environment   The duties and responsibilities of this position may evolve over time to support the organization's goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Задачи: — Обеспечение надежности, масштабируемости и стабильной работы систем через автоматизацию и поддержку инфраструктуры. — Проектирование, внедрение и поддержка надежных CI/CD пайплайнов и облачной инфраструктуры. — Проактивный мониторинг производительности систем, устранение проблем и постоянное улучшение доступности и эффективности платформ. Требования: — Глубокие практические знания Kubernetes и AWS. — Продвинутое администрирование Linux. — Владение скриптовыми языками Python, Bash. — Опыт проектирования и управления CI/CD пайплайнами (Gitlab). — Экспертиза в Terraform, знание Ansible будет плюсом. — Опыт работы с облачными сетями. — Опыт работы с RabbitMQ. — Опыт работы с PostgreSQL. — Английский язык на уровне B1 и выше. Инструменты и технологии: AWS, Cloudflare, Kubernetes, GitLab, Nexus, Helm/Helmwave, Vault, VictoriaMetrics, Envoy, OpenSearch, Grafana, Ansible, Terraform, RabbitMQ, PostgreSQL, Nginx/HAProxy.

Задачи: 1. Разработка фреймворка с нуля: создание автоматизированного фреймворка для тестирования кастомного движка данных ClickHouse (Histeria). 2. Инфраструктура и контейнеризация: развертывание и настройка системы сбора тестовых отчётов (Test Report System), упаковка фреймворка в Docker-контейнер, настройка интеграции с GitLab CI/CD. 3. Отчётность: реализация автоматической выгрузки тестовых отчётов в развернутую систему. 4. Миграция легаси-тестов: подготовка инфраструктуры для переноса существующих тестов с nose на pytest. Требования: Гражданство РФ и проживание в Санкт-Петербурге. Технологический стек: Python 3.10+, Linux (debian) обязательно, pytest, Allure (или аналогичная система отчётности), ClickHouse, Docker, GitLab, CI/CD. Условия: Офис. Санкт-Петербург. Адрес офиса: бизнес-центр 'Антарес'. Вилка до 165 000 рублей на руки.

Задачи: — Отвечать за качество продукта и принимать решения о выпуске релизов. — Проектировать и поддерживать E2E, API и интеграционные тесты с использованием JavaScript/TypeScript. — Создавать и улучшать автоматическое покрытие тестами, с акцентом на API и сервисный уровень. — Интегрировать автоматические тесты в CI/CD пайплайны. — Использовать AI-инструменты для генерации и поддержки тестов, критически оценивая их качество и ценность. — Создавать надежную тестовую инфраструктуру, включая тестовые данные, фикстуры и контрактные тесты. — Выполнять ручное и исследовательское тестирование там, где автоматизация не подходит. — Тесно сотрудничать с разработчиками и продуктовыми командами для превращения требований в тестируемые сценарии. — Исследовать проблемы в продакшене с помощью логирования и инструментов наблюдаемости, вносить результаты в тестовый набор. Требования: — Опыт автоматизации тестирования не менее 3 лет с JavaScript/TypeScript. — Глубокие знания JavaScript или TypeScript. — Практический опыт с Playwright или Cypress. — Опыт тестирования API (Postman или аналог). — Опыт работы с CI/CD. — Хорошее понимание веб-приложений и сетевых технологий, включая CORS. — Опыт работы с базами данных MySQL, MongoDB, Redis или DynamoDB. — Опыт работы с AWS, логированием, отладкой и наблюдаемостью. — Практический опыт использования AI-инструментов для разработки и автоматизации тестирования. — Способность оценивать риски качества и уверенно принимать решения о выпуске. — Английский язык на уровне C1 и выше. Условия: — Полностью удаленная работа. — Долгосрочное сотрудничество в международной среде. — Высокий уровень ответственности и влияние на стратегию тестирования. — Современный стек автоматизации и активное использование AI в разработке. — Реальное влияние на качество продукта и решения о релизах. — Частная медицинская страховка. — Карта MultiSport. — Матчинг 0%.

Client: A global online sports betting company dedicated to building world-class technology products. Position overview: An experienced Automation Engineer in Test reporting directly to the Test Manager, working in a small agile team alongside SEITs, DevOps Engineers, and Data Engineers to ensure high-quality delivery. Responsibilities: — Design, build, and maintain data and reporting solutions using modern technologies. — Test and develop Integration layer changes, ensuring user stories meet quality standards. — Develop and maintain automated test frameworks for ETL, Big Data, API, and database validations. — Perform comprehensive test analysis and collaborate across cross-functional Agile teams. Requirements: — 3+ years of demonstrated experience with validation in Databricks. — In-depth experience in developing and maintaining automated test suites. — Proficiency in Python (preferred) and SQL. — Hands-on expertise with key test frameworks (BDD, Hybrid, PyTest, Allure). — Strong skills in Database, ETL, Big Data, and API validations. — Experience with CI/CD tools (Jenkins, GitHub Actions) and source control (Git). — Familiarity with AWS infrastructure and storage technologies (AWS, Databricks, S3, DynamoDB, Delta Lake, SQL). — Solid background in Agile ways of working. Nice to have: — Experience with streaming technologies (AWS Kinesis, Apache Kafka, Amazon MSK). — Familiarity with direct query engines (AWS Athena, Presto, Databricks SQL). — Experience using Jira and XRAY for test management. — Exposure to monitoring tools (Prometheus, Alert Manager, Grafana Loki). What We Offer: — Vacation days: Up to 26 business days per year. — 10 illness/special days off per year (fully paid, no medical papers needed) for all contract types. — Health and life insurance (Luxmed). — MyBenefit platform with Multisport option. — Internal psychological support service. — English language classes from the first working day. — Access to external learning platforms: O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training. — Flexible workplace: work from the office, from home, or choose a hybrid option. — Tech Skills Mentoring Program. — Opportunities to develop as a public speaker, mentor, or technical interviewer. — Fully paid idle (bench) when not involved in a project. — Certification reimbursement (AWS, GCP, Microsoft, etc.).

Задачи: — работа над проектом международного телеком-оператора, развивающего покрытия 3G/4G по всей России; — участие в изменениях, улучшениях, запуске новых направлений проекта. Требования: — опыт работы в роли QA Automation Engineer (Python) от 3-х лет; — наличие законченного высшего IT-образования; — опыт написания автотестов на Python с использованием pytest для backend и UI; — опыт работы с подходами Playwright по аутентификации (Storage state, cookies, storage); — уверенное знание SQL; — работа с базами данных через ORM; — опыт работы с брокерами сообщений Kafka; — понимание клиент-серверной архитектуры и HTTP-протокола; — опыт работы с Git; — базовые знания по настройке CI для автотестов; — навыки интеграционного тестирования, включая подготовку данных и мокирование; — навыки нагрузочного тестирования с использованием JMeter; — навыки параллельного запуска автотестов с Pytest XDist; — использование Pydantic и JSON-схем для валидации ответов, мокирование запросов через page.route; — опыт параметризации фикстур и тестов, multi-page сценарии в Playwright; — навыки мобильного тестирования; — анализ утилизации ресурсов сервера при нагрузке; — понимание системного промта и его влияния на ответы LLM; — знание принципов SOLID и DDD; — понимание разницы между инженером по качеству и автоматизатором; — понимание концепции мокирования. Будет плюсом: — опыт работы с RabbitMQ; — понимание RAG-систем; — знание промт-инъекций; — опыт тестирования LLM с подходом LLM-as-a-judge; — понимание галлюцинаций в ответах LLM; — написание пайплайнов CI/CD. Условия: — хорошая зарплата, уровень обсуждается индивидуально, есть доплаты за менторство и профактивности; — долгосрочные проекты от российских заказчиков, возможность менять направления, прозрачная система Performance Review; — выбор формата работы: удалённо, офис, гибрид, релокейт между офисами; — доступ к корпоративному порталу, митапам, конференциям (в том числе как спикер); — социальный пакет: ДМС со стоматологией, частичная компенсация спорта, бесплатный английский, оплачиваемый отпуск и больничные; — корпоративные мероприятия, тимбилдинги, детские праздники. Офисы компании расположены в Москве, Санкт-Петербурге, Казани, Ростове-на-Дону, Нижнем Новгороде и Самаре.

About us: Proxify connects top developers worldwide with opportunities. Since launch, Proxify developers have worked with 1200+ clients and 5000+ developers trust the network. Proxify supports remote full-time jobs with high ratings on Glassdoor and Trustpilot. The Role: Seeking a Senior QA Automation Engineer to be the primary architect of quality assurance strategy for a high-growth client team. Responsibilities include building scalable automation frameworks, defining test strategies, selecting tools, and integrating automated suites into CI/CD pipelines. The role is for a "Developer in Test" focused on building safety nets for confident code shipping. What we are looking for: — 5+ years in test automation with expertise in Playwright, Cypress, or Selenium — Ability to write clean, maintainable test code in TypeScript/JavaScript, Python, or Java — Experience building and scaling automation frameworks (Page Object Model, Screenplay Pattern) — Extensive experience testing RESTful and GraphQL APIs using Postman, SuperTest, or RestAssured — Hands-on integration of automated tests into pipelines using GitHub Actions, GitLab CI, or Jenkins — Mobile automation experience with Appium or Maestro is a significant advantage — Familiarity with performance testing tools like k6 or JMeter Nice-to-Have: — Knowledge of Docker for containerized testing — Experience with Visual Regression testing tools (Percy, Applitools) — Familiarity with Cloud Testing platforms (BrowserStack, Sauce Labs, AWS Device Farm) — Background in Security Testing (OWASP principles) Responsibilities: — Define automation roadmap and select tools matching client stack — Write, maintain, and optimize complex end-to-end integration and regression test suites — Collaborate with Developers and Product Managers to define "Definition of Done" and ensure testability — Identify, document, and track software defects, working closely with dev team — Act as "Quality Evangelist" by conducting code reviews for test scripts and sharing best practices What we offer: — On-time monthly payments with flexible withdrawal options — Predictable project hours with consistent 8-hour working days — Up to 24 flex days off per year without losing pay for full-time positions — Career-accelerating positions at cutting-edge companies — Hand-picked opportunities with no typical recruitment roadblocks — One-time contracting process for multiple opportunities — Consistent monthly compensation

Location: London, United Kingdom Workplace: none About InvestEngine We’re a ~200-person, AI-first fintech. We move fast, we expect people to own things end to end, and we don’t have a lot of specialist support infrastructure to hide behind — if you spot a gap, you’re expected to close it, not escalate it and wait. About the role We’re hiring our first dedicated Analytics Engineer at InvestEngine. This is a foundational hire: you’ll sit at the intersection of data engineering, analytics engineering, and business partnership — turning raw, disparate data into governed, trustworthy models that the rest of the company makes decisions on. You won’t just write dbt models in isolation. You’ll work directly with stakeholders across the business — Product, Engineering, Risk, Finance, Investment, Marketing — to understand the problems they’re actually trying to solve, then design and ship the pipelines, models, and semantic layer that solve them. You’ll also help shape how we use AI-enabled tooling to make the whole analytics function faster, and how we structure our data so that AI tooling can be trusted to answer questions about it. We’re actively modernising our data stack, and we want the person in this role to shape it. Some of it is in place, some of it is being rebuilt, and some of it hasn’t been decided yet. If you have informed opinions about orchestration, ingestion, testing, semantic layers, or BI — we want to hear them. Who thrives here We’ve pitched this at mid to senior level , but the honest position is that the level matters less than the appetite. The ultimate test is hunger, and the desire to shape this space and have real impact . If you’re technically strong but hungrier than your years of experience suggest, apply anyway — we’d rather have someone who wants to own this than someone who has simply done it before somewhere bigger. Beyond that, this role suits someone who: Operates well with ambiguity and limited structure. You’ll be the first analytics engineer here — no existing playbook, no dedicated data engineering team to lean on, no established BI function to slot into. You’ll be building a lot of it as you go. Wants a small, fast company on purpose — not just escaping bureaucracy elsewhere, but genuinely drawn to the trade-off: more ownership and visibility, less process and hand-holding. Lives in the tools, not in email chains. You default to GitHub, dbt, Slack/Notion, and automation over status meetings and Word docs. Can point to things they’ve actually built and shipped , not just designs or concepts they contributed to. Already uses AI to do the job better — Claude, Copilot, or similar — and is curious about where it can go further. Learns fast. We care more about how quickly you close a knowledge gap than how complete your CV looks today. Works well directly with Product, Marketing, Operations, and Engineering , not just with other analysts — this role sits right at that boundary. Our values Everyone at InvestEngine is expected to live these, and this role will be assessed against all five: Act like an owner — you take responsibility for outcomes, not just tasks Keep improving. Stay curious. — you push your own standards and the team’s, and you’re genuinely curious about better ways to work Achieve more together — you make the people around you (business stakeholders included) more effective, not just yourself Speak up. Share openly. — you flag risks, disagreements, and better ideas rather than sitting on them Put customers first. Create real value. — you build things because they solve a real problem, not because they’re interesting to build What you’ll do Analytics engineering & the semantic layer Design, build, and maintain dbt Core models that transform raw data into clean, well-tested, well-documented datasets Own and evolve our semantic layer — consistent metric definitions, business logic, and naming that the whole company can trust and query against Establish and enforce data modelling standards, testing practices, and documentation as the function scales Evaluate and help roll out modern BI tooling — experience with Lightdash, Omni, Looker, or Metabase all translates well — to make metrics genuinely self-serve for non-technical stakeholders Building the AI context layer Structure our models, metric definitions, documentation, and lineage so they’re machine-readable, not just human-readable — because our semantic layer is what AI tooling reasons over Make AI-driven analytics reliable: if two people (or two agents) ask the same business question, they should get the same answer, because the definition lives in one governed place Treat naming, documentation, and metric definitions as first-class engineering deliverables rather than afterthoughts, since they directly determine how trustworthy our AI-enabled BI is Use Claude to accelerate development — model scaffolding, code review, documentation, QA, and pipeline debugging — and Notion AI to keep documentation and runbooks current and genuinely useful Bring a point of view on where AI can responsibly speed up analytics engineering, and help the wider team adopt it well Data engineering & the platform Build and maintain ingestion and transformation pipelines across our stack. We use a modern data stack, such as AWS, Redshift, and Airflow Write production-quality Python for extraction, transformation, and automation tasks that fall outside dbt’s remit Help us modernise: we’re actively evolving this stack and expect you to challenge and improve it, not just operate it Warehouse cost & performance Own the performance and cost profile of our Redshift warehouse — you should be able to read a query plan, choose sensible sort and distribution keys, and design incremental models without being asked Spot and act on opportunities to reduce complexity and cost across our models and pipelines, rather than letting spend and technical debt accumulate quietly Make deliberate trade-offs between freshness, cost, and complexity — and explain those trade-offs to the business in terms they care about Data quality & observability Champion analytics engineering best practice across the company: testing, version control, code review, CI, and documentation applied to data the same way engineering applies them to software Build and own data quality, freshness, and pipeline monitoring so problems are caught by us before they’re caught by a stakeholder looking at a dashboard Set the standard for what “trustworthy data” means here, and hold the line on it as the volume of models and requests grows Upstream influence Work with our engineering teams to make sure application and event design accommodates reporting and analytics requirements before data reaches the warehouse — good analytics starts at the source, not in the transformation layer Influence payload and schema design for new services and product features, so we’re not permanently reverse-engineering business meaning out of operational tables Support analysts and business users with automation, tooling, and data engineering expertise, and provide training and guidance on how to use our data well Business partnership Work directly with stakeholders to understand their problems, not just their requested outputs — translate ambiguous business questions into pipeline and modelling requirements Act as a trusted advisor on what’s possible with our data, and push back constructively when a request doesn’t solve the underlying problem Support financial, operational, and regulatory reporting needs appropriate to a regulated investment platform Governance Apply our data classification and access model when onboarding sources: identify PII (including in free-text fields), decide what belongs in the sanitised analytics layer versus a restricted dataset, and document the outcome Implement least-privilege access across datasets, reports, and dashboards What we’re looking for Must-haves Hands-on production experience with dbt (we run dbt Core) — this is a hard requirement Strong SQL expertise Solid Python for data engineering and automation Working knowledge of AWS data services Experience with GitHub and GitHub Actions (or equivalent CI/CD tooling) for testing and deploying data code Experience with a modern BI tool (e.g., Lightdash, Omni, Looker, or Metabase), and a genuine interest in semantic layers (e.g., MetricFlow, Cube Core) and self-serve analytics Comfortable using AI tools as part of your day-to-day engineering workflow Strong communication — you can sit with a non-technical stakeholder, understand their real problem, and explain trade-offs in plain language Ownership: you’re comfortable being the first and only person in this role, and building things properly from scratch Nice-to-haves Airflow or similar orchestration tools, and familiarity with data ingestion tools such as dlt or Airbyte Warehouse cost and performance tuning, particularly on Redshift Fintech, investment management, or another regulated industry Handling PII responsibly in an analytics environment — sanitised vs. restricted datasets, role-based access tiers, automated PII detection Experience with Notion AI or Asana automations Day-to-day working style We favour clear thinking and simple, well-tested solutions over cleverness We expect you to engage directly with the business, not hide behind tickets — understanding the “why” behind a request is part of the job We’re genuinely trying to use AI to work faster and better, not as a buzzword — we want people who’ll experiment, share what works, and level up the team As the first analytics engineer, you’ll define what “good” looks like here: process, standards, and tooling included We believe data should be as accessible as it can safely be, and as restricted as it needs to be — good judgement applied consistently, not blanket lockdown Practical details Reports to: Chief Data Officer Team: Data & Analytics Level: Mid to Senior Location / working pattern: London / hybrid

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 team - Aura DevEx, and are looking for an ambitious Engineer to help build it. Aura DevEx is an enabling team for the Aura SaaS and cloud platform and works to improve and simplify onboarding and use of the Aura platform. Our DB software is developed to be delivered both on-prem and to our SaaS offering and Aura DexEx will play a vital role in bridging development of the DB in our cloud environment. We make Aura usable for them — in person, in docs, in CLIs, and through AI. We also work on things coupled to the AI domain for Aura development: agent skill files, AI instructions, and the workflows that let humans and agents work in this repository safely and well. The mix that matters here is software engineering, developer experience, and practical AI — not platform engineering as a full-time job. The Role: Make Aura the place where the rest of Neo4j can build. Aura is a powerful environment, but a challenging one to enter. Aura DevEx exists so that “develop in Aura” is a product, not a tribal knowledge problem. You will work with all users of the platform - both avid users and people new to the platform. You’ll also work alongside teams to help them build on top of the platform. Between directly helping engineers you will take your learnings from the hands-on sessions and improve tooling and documentation or submit feedback to owning teams on how their devex could be improved. You will not own the delivery platform. You will partner closely with our Software Delivery team so the paved road stays the paved road, and with our platform teams to ensure engineers are empowered to extend the platform to meet their needs. What You'll Do: Help teams outside Aura develop in Aura: Meet Neo4j Database (non-Aura) engineers where they are. Reduce the Aura-specific overhead of getting a change built, tested, and running in a dev environment. Improve the workflows, docs, and tooling that engineers need, — whether they are people who care about the database, a single service, or an integration, rather than the whole platform. Support incubation and onboarding: help teams become productive in Aura without Aura DevEx owning their product. Work with Software Delivery when the right fix is on the paved road, and take the work that is about who is developing and how they get started . Give feedback to the various platform teams to ensure that the underlying platform is intuitive, pleasant to use, and extensible. Contribute to the AI domain for Aura development Maintain and evolve skill files and agent instructions (AGENTS.md, Cursor/Claude skills, and similar) so AI coding agents can operate in Aura with the same constraints we expect of humans. Put evaluation and feedback around AI workflows — quality, cost, failure modes, and whether they actually save engineers time. Help Aura and non-Aura teams adopt AI in their development process without each team inventing its own stack. Treat DevEx as a product Work closely with internal engineers (Aura and non-Aura) to identify pain points. Make the experience as positive as possible for someone who does not already know Aura. Observe how people and agents use the skills, docs, and tools you ship, and iterate on that evidence. What you’ll need: Strong collaboration and communication skills. Golang experience Experience using Golang for multiple software projects ranging from scripting to larger microservice-type applications. Some knowledge around the Golang build and packaging system. Solid software engineering experience, including shipping tools other engineers use (CLIs, libraries, internal platforms, or developer-facing services). Enough Kubernetes and container literacy to help someone develop in Aura — Pods, Deployments, Docker images, and how software gets onto a cluster. Deep operator/control-plane work is not the job; being lost in Kubernetes is not viable either. Experience with modern CI/CD and Git-based workflows: taking a change from a branch to something running in an environment. Clear writing. A large part of this job is skills, docs, and instructions that both humans and models follow. An interest in other developers’ pain points, especially people who are new to a platform, and the ability to design solutions that address those pain points. What’s nice to you have: Experience with “platform as a product” or developer experience work: interviewing users, caring about onboarding, measuring adoption. Experience maintaining AI skill files, agent instructions, MCP servers, or similar structured context for coding agents. Experience with Kubernetes-related developer tooling (Make, Kustomize, Helm) and with simplifying local workflows. Experience integrating software with Google Cloud Platform, AWS, or Azure. Experience with observability: tracing, logging, and metrics — including for AI workflows. #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 team - Aura DevEx, and are looking for an ambitious Engineer to help build it. Aura DevEx is an enabling team for the Aura SaaS and cloud platform and works to improve and simplify onboarding and use of the Aura platform. Our DB software is developed to be delivered both on-prem and to our SaaS offering and Aura DexEx will play a vital role in bridging development of the DB in our cloud environment. We make Aura usable for them — in person, in docs, in CLIs, and through AI. We also work on things coupled to the AI domain for Aura development: agent skill files, AI instructions, and the workflows that let humans and agents work in this repository safely and well. The mix that matters here is software engineering, developer experience, and practical AI — not platform engineering as a full-time job. The Role: Make Aura the place where the rest of Neo4j can build. Aura is a powerful environment, but a challenging one to enter. Aura DevEx exists so that “develop in Aura” is a product, not a tribal knowledge problem. You will work with all users of the platform - both avid users and people new to the platform. You’ll also work alongside teams to help them build on top of the platform. Between directly helping engineers you will take your learnings from the hands-on sessions and improve tooling and documentation or submit feedback to owning teams on how their devex could be improved. You will not own the delivery platform. You will partner closely with our Software Delivery team so the paved road stays the paved road, and with our platform teams to ensure engineers are empowered to extend the platform to meet their needs. What You'll Do: Help teams outside Aura develop in Aura: Meet Neo4j Database (non-Aura) engineers where they are. Reduce the Aura-specific overhead of getting a change built, tested, and running in a dev environment. Improve the workflows, docs, and tooling that engineers need, — whether they are people who care about the database, a single service, or an integration, rather than the whole platform. Support incubation and onboarding: help teams become productive in Aura without Aura DevEx owning their product. Work with Software Delivery when the right fix is on the paved road, and take the work that is about who is developing and how they get started . Give feedback to the various platform teams to ensure that the underlying platform is intuitive, pleasant to use, and extensible. Contribute to the AI domain for Aura development Maintain and evolve skill files and agent instructions (AGENTS.md, Cursor/Claude skills, and similar) so AI coding agents can operate in Aura with the same constraints we expect of humans. Put evaluation and feedback around AI workflows — quality, cost, failure modes, and whether they actually save engineers time. Help Aura and non-Aura teams adopt AI in their development process without each team inventing its own stack. Treat DevEx as a product Work closely with internal engineers (Aura and non-Aura) to identify pain points. Make the experience as positive as possible for someone who does not already know Aura. Observe how people and agents use the skills, docs, and tools you ship, and iterate on that evidence. What you’ll need: Strong collaboration and communication skills. Golang experience Experience using Golang for multiple software projects ranging from scripting to larger microservice-type applications. Some knowledge around the Golang build and packaging system. Solid software engineering experience, including shipping tools other engineers use (CLIs, libraries, internal platforms, or developer-facing services). Enough Kubernetes and container literacy to help someone develop in Aura — Pods, Deployments, Docker images, and how software gets onto a cluster. Deep operator/control-plane work is not the job; being lost in Kubernetes is not viable either. Experience with modern CI/CD and Git-based workflows: taking a change from a branch to something running in an environment. Clear writing. A large part of this job is skills, docs, and instructions that both humans and models follow. An interest in other developers’ pain points, especially people who are new to a platform, and the ability to design solutions that address those pain points. What’s nice to you have: Experience with “platform as a product” or developer experience work: interviewing users, caring about onboarding, measuring adoption. Experience maintaining AI skill files, agent instructions, MCP servers, or similar structured context for coding agents. Experience with Kubernetes-related developer tooling (Make, Kustomize, Helm) and with simplifying local workflows. Experience integrating software with Google Cloud Platform, AWS, or Azure. Experience with observability: tracing, logging, and metrics — including for AI workflows. #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: — Построение и разработка REST/HTTP API, написание чистой и модульной бизнес-логики — Работа с Redis: кэширование, rate limiting, хранение временных данных — Интеграция и работа с Kafka: топики, producers, consumers, обработка событий — Оптимизация запросов и работа с PostgreSQL: индексы, профилирование, транзакции — Использование DI-подхода: выделение слоёв, конфигурирование зависимостей, тестируемая архитектура — Использование AI-инструментов (Cursor и др.) как полноценного инструмента разработки: анализ кодовой базы, рефакторинг, работа с Rules для AI-агентов, AI Skills / workflow Требования: — Глубокие знания Python, опыт работы с Django REST Framework (DRF) и FastAPI — Опыт построения REST/HTTP API, написания чистой модульной бизнес-логики — Умение работать с Redis (кэширование, rate limiting) — Опыт с Kafka (топики, producers, consumers) — Опыт оптимизации запросов и работы с PostgreSQL — Опыт использования DI-подхода в Python-проектах — Умение самостоятельно декомпозировать задачи, уверенная работа с AI-powered IDE — Будет плюсом: понимание CI/CD, опыт с Docker / docker-compose / Kubernetes Условия: — Удалённый формат работы Личностные качества: — Умение работать в команде и эффективно взаимодействовать с коллегами — Ответственность и способность доводить задачи до результата — Внимательность к деталям и стремление к качеству кода — Желание развиваться и изучать новые технологии — Способность находить и предлагать оптимальные решения — Инженерное мышление и понимание последствий принимаемых технических решений — Готовность активно использовать современные AI-инструменты в ежедневной разработке

Location: Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About the role You own the company's identity provider: who signs in, from where, with which factors, into which applications — and how that access is granted, reviewed, and revoked. Microsoft Entra ID is the primary identity plane and the center of gravity for the role. Google Workspace, Cloud Identity, and Google Cloud IAM form a secondary domain. Microsoft 365 is in scope for tenant, licensing, and access administration. You are the escalation point for identity incidents from operations, security, service desk, and application teams — expected to resolve them, not route them onward. What you'll own Microsoft Entra ID and Microsoft 365 –    Users, dynamic and assigned groups, administrative units, directory roles, service principals, workload identities. –    Conditional Access design and rollout: named locations, client app and platform conditions, session controls, sign-in frequency, break-glass exclusions, report-only staging. –    Authentication methods policy and phishing-resistant factors. –    Application onboarding over SAML 2.0 (NameID, claims mapping, signing certificate rollover, encrypted assertions) and OIDC / OAuth 2.0 (authorization code with PKCE, client credentials, device code). –    App registrations: redirect URIs, permissions, admin consent workflow, secret and certificate lifecycle. –    SCIM 2.0 provisioning: attribute mappings, scoping filters, expression transformations, quarantined jobs, drift reconciliation. –    Tenant consent settings, OAuth grant review, remediation of over-permissioned and stale applications; defensible controls for SaaS without SSO or SCIM support. –    Joiner-mover-leaver as an automated pipeline: provisioning, group-based licensing, revocation with session and refresh token invalidation. –    Least privilege for admin access: scoped role assignments, RBAC, PIM, access reviews, entitlement management access packages. –    Service account and workload identity governance: ownership, credential rotation, permission scoping, decommissioning. –    Microsoft 365 tenant settings, licensing, admin roles; access and permission issues in Exchange Online, SharePoint Online, Power Platform. –    Diagnostics from sign-in, audit, and provisioning logs, with diagnostic settings routed to Log Analytics and KQL queries. –    Cross-tenant access settings and B2B external collaboration. Automation –    PowerShell tooling on the Microsoft Graph PowerShell SDK and Graph REST API: lifecycle, licensing, access reporting, recertification. –    Google-side automation through the Admin SDK Directory API, Cloud Identity API, and gcloud. –    Scheduled and event-driven workflows in Azure Automation Runbooks, Azure Logic Apps, or Power Automate. –    Unattended execution on managed identities and narrowly scoped app registrations, with credential rotation, structured logging, error handling, and retries. –    Automation treated as production code: version control, peer review, documented rollback. What you'll bring We care about what you can do, not which products appear on your CV. Concretely, you can: –    Decode a SAML assertion or JWT and pinpoint the failure — audience mismatch, NameID format, expired signing certificate, missing claim — without escalating to the vendor. –    Diagnose a failing SCIM job and tell scoping from attribute mapping, transformation expressions, or target schema. –    Replace a manual lifecycle process with automation that logs, retries, and can be handed to someone else to run. Experience we expect –    3+ years administering Microsoft Entra ID in production as a primary responsibility. –    Microsoft 365 tenant: settings, licensing, admin roles, Service Health –    Exchange Online: mailbox permissions, groups, mail flow, SPF/DKIM/DMARC –    Microsoft Defender: threat policies, quarantine, message trace –    Power Platform: environments, DLP connector policies, maker access –    PowerShell: Exchange Online module, Microsoft Graph SDK –    Enterprise applications, app registrations, consent and permission models, automated provisioning. –    Azure Automation Runbooks, Azure Logic Apps, Power Automate, or comparable platforms. –    Least privilege, secure administration, change management, and the discipline to leave configurations documented. –    Written and spoken English at B2 or higher. Nice to haves –    SC-300, MS-102, or SC-401 — or equivalent demonstrable expertise. –    Microsoft Entra ID Governance: entitlement management, lifecycle workflows, Privileged Identity Management. –    Microsoft Purview (DLP, retention, eDiscovery), Microsoft Defender for Cloud Apps, or Microsoft Sentinel. –    Google Cloud IAM: projects, roles and policies, service accounts, API access, OAuth credentials. –    Google Cloud workload identity federation, custom roles, organization policy constraints. –    Git, CI/CD practices, Pester, Bicep, or Terraform. –    Access evidence for SOC 2, ISO 27001, or comparable audit cycles. # LI -RK1 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Your responsibilities will include: Develop and maintain Python-based API integrations between our HR information system (HRIS) and business systems, including finance, travel, expense management, and recruiting platforms. Build and maintain cloud-native services, web applications, and containerized workloads on Microsoft Azure. Implement automation for system workflows, onboarding/offboarding, access-related processes, and data synchronization. Create and maintain deployment pipelines and Infrastructure-as-Code with Terraform. Own integrations through implementation, testing, deployment, and production support; respond to alerts and troubleshoot issues across APIs, Azure services, and data sources within agreed SLAs. Implement safeguards for sensitive employee data, including validation, audit trails, and controls around mass changes. Work with business stakeholders to clarify requirements and maintain technical documentation as part of each change. We expect you to have: 3+ years of integration or backend development experience, including hands-on experience deploying and supporting production workloads in Microsoft Azure. Practical experience with Azure compute and integration services. Our stack includes Azure Functions, App Service, Container Apps, Container Instances, Service Bus, and API Management. Practical Python development skills, including maintaining and debugging existing services and automations. Experience integrating REST APIs, webhooks, and Microsoft Graph API, with an understanding of pagination, rate limits, retries, and idempotency. Experience working with CI/CD pipelines and Terraform for Azure deployments. Good understanding of OAuth 2.0, Microsoft Entra ID, and managed identities for secure authentication and service-to-service access. Experience designing and working with relational databases (PostgreSQL, MSSQL, etc.). Experience with automated testing and diagnosing production issues through logs, monitoring, and alerts. It will be an added bonus if you have: Experience integrating HRIS or other business systems, such as ERP, expense management, or recruiting platforms. Azure certifications (AZ-204, AZ-900, AZ-104). Hands-on experience with Application Insights and Log Analytics. Experience using AI-assisted development tools, with the ability to critically evaluate their output. #LI-RK1 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Almaty, Kazakhstan Workplace: Remote Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. About this role: At Sensor Tower, we process tens of terabytes of data to power insights used by thousands of customers. We’re looking for curious, motivated engineers who want to grow their skills while helping us build fast, reliable systems that make data easy to access and understand. You’ll work closely with experienced engineers, contribute to meaningful features from day one, and learn how large-scale systems are designed, built, and optimized in production. If you enjoy learning, solving problems, and shipping real software that users rely on, we would love to meet you. Our Engineering Culture We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values: - Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys." - Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping. - Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids. - Prioritization: We focus relentlessly on what is important, not just what is urgent. What you’ll do: - Improving and building new features for an app market intelligence SaaS platform focused on the SMBs (AppMagic by Sensor Tower). - Participate in the full development life cycle, including design, implementation, quality polish, and release. - Work on a variety of tasks, such as parsing, data aggregation, API design, refactoring, and performance optimization. - Create and optimize complex database queries for data analysis and modification. - Perform code reviews, and suggest improvements to tools and processes. Backend stack: Golang, PostgreSQL, ClickHouse, MongoDB, Elasticsearch, RabbitMQ, GitLab, Docker, Kubernetes. What we are looking for: - +3 years of experience with Go (if you have lesser years of experience but have meaningful github contributions and other coding samples, this will be taken into consideration). - Strong SQL skills (Postgres/ClickHouse). You know when to rely on an ORM and when to write raw SQL, and you're comfortable writing and debugging complex queries. - Focusing on quality by writing testable code that simplifies debugging and ensures long-term reliability. - Ability to see the product through the user’s eyes and a passion for product excellence. - Curiosity & drive: a proactive approach to digging into sources yourself rather than relying on second-hand information, and an eagerness to understand why a project is valuable before you start coding. - Experience with CI/CD, docker, k8s as a plus. - Ability to pass technical interview both in Russian & English. - Hands-on, thoughtful use of AI tools in development. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Yerevan, Armenia Workplace: Remote Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. About this role: At Sensor Tower, we process tens of terabytes of data to power insights used by thousands of customers. We’re looking for curious, motivated engineers who want to grow their skills while helping us build fast, reliable systems that make data easy to access and understand. You’ll work closely with experienced engineers, contribute to meaningful features from day one, and learn how large-scale systems are designed, built, and optimized in production. If you enjoy learning, solving problems, and shipping real software that users rely on, we would love to meet you. Our Engineering Culture We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values: - Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys." - Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping. - Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids. - Prioritization: We focus relentlessly on what is important, not just what is urgent. What you’ll do: - Improving and building new features for an app market intelligence SaaS platform focused on the SMBs (AppMagic by Sensor Tower). - Participate in the full development life cycle, including design, implementation, quality polish, and release. - Work on a variety of tasks, such as parsing, data aggregation, API design, refactoring, and performance optimization. - Create and optimize complex database queries for data analysis and modification. - Perform code reviews, and suggest improvements to tools and processes. Backend stack: Golang, PostgreSQL, ClickHouse, MongoDB, Elasticsearch, RabbitMQ, GitLab, Docker, Kubernetes. What we are looking for: - +3 years of experience with Go (if you have lesser years of experience but have meaningful github contributions and other coding samples, this will be taken into consideration). - Strong SQL skills (Postgres/ClickHouse). You know when to rely on an ORM and when to write raw SQL, and you're comfortable writing and debugging complex queries. - Focusing on quality by writing testable code that simplifies debugging and ensures long-term reliability. - Ability to see the product through the user’s eyes and a passion for product excellence. - Curiosity & drive: a proactive approach to digging into sources yourself rather than relying on second-hand information, and an eagerness to understand why a project is valuable before you start coding. - Experience with CI/CD, docker, k8s as a plus. - Ability to pass technical interview both in Russian & English. - Hands-on, thoughtful use of AI tools in development. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.