Вакансии

Location: Москва Мы команда разработки продуктов для процесса корпоративного кредитования в банке. Занимаемся внедрением AI-агентов, которые автоматизируют строительную экспертизу для кредитования застройщиков. В работе предстоит разрабатывать решения на основе LLM GigaChat, которые взаимодействуют через API с автоматизированными системами банка. Обязанности ### Чем предстоит заниматься: * анализом требований и разработкой технических решений * внедрением новых технологий, инструментов и методов разработки * разработкой новых компонентов на базе API GigaChat в мультиагентной системе * декомпозицией задач и расставлением приоритетов в зависимости от задач бизнеса * оптимизацией и автоматизацией существующих процессов разработки * участием в полном цикле разработки: от идеи до продакшн-внедрения; * описанием решений в том числе при помощи ИИ; * продумыванием и написанием юнит-тестов, e2e-тестов и проведение code review * отслеживанием исследований и инноваций в области искусственного интеллекта и применением их на практике. Требования ### Мы ждём что вы: * получили высшее техническое или математическое образование * разрабатывали backend-приложения на Python более 2 лет * разрабатывали инфраструктуру для LLM * имеете опыт работы с Git и понимание git-flow * работали с реляционными БД * готовы разбираться в чужом коде и имеете опыт оптимизации кода/code-review * имеете опыт работы с экосистемой LangChain * знаете framework: FastAPI, FastStream, aiohttp, asyncio, grpcio * умеете применять: менеджеры пакетов (poetry/uv), линтеры (flake8, ruff, mypy), тестовые фреймворки (pytest) * имеете опыт работы с Jira, Confluence, BitBucket. ### Будет плюсом: * опыт работы в банках, телекоме или финтехе * опыт работы с инструментами DevOps (Jenkins, Nexus, OpenShift, Docker) * опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов. Условия ### Что мы предлагаем: * комфортный современный офис рядом с м. Кутузовская проспект * формат работы – офис/гибрид * ежегодный пересмотр зарплаты, квартальная и годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Москва Мы команда разработки продуктов для процесса корпоративного кредитования в банке. Занимаемся внедрением AI-агентов, которые автоматизируют строительную экспертизу для кредитования застройщиков. В работе предстоит разрабатывать решения на основе LLM GigaChat, которые взаимодействуют через API с автоматизированными системами банка. Обязанности ### Чем предстоит заниматься: * анализом требований и разработкой технических решений * внедрением новых технологий, инструментов и методов разработки * разработкой новых компонентов на базе API GigaChat в мультиагентной системе * декомпозицией задач и расставлением приоритетов в зависимости от задач бизнеса * оптимизацией и автоматизацией существующих процессов разработки * участием в полном цикле разработки: от идеи до продакшн-внедрения; * описанием решений в том числе при помощи ИИ; * продумыванием и написанием юнит-тестов, e2e-тестов и проведение code review * отслеживанием исследований и инноваций в области искусственного интеллекта и применением их на практике. Требования ### Мы ждём что вы: * получили высшее техническое или математическое образование * разрабатывали backend-приложения на Python более 2 лет * разрабатывали инфраструктуру для LLM * имеете опыт работы с Git и понимание git-flow * работали с реляционными БД * готовы разбираться в чужом коде и имеете опыт оптимизации кода/code-review * имеете опыт работы с экосистемой LangChain * знаете framework: FastAPI, FastStream, aiohttp, asyncio, grpcio * умеете применять: менеджеры пакетов (poetry/uv), линтеры (flake8, ruff, mypy), тестовые фреймворки (pytest) * имеете опыт работы с Jira, Confluence, BitBucket. ### Будет плюсом: * опыт работы в банках, телекоме или финтехе * опыт работы с инструментами DevOps (Jenkins, Nexus, OpenShift, Docker) * опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов. Условия ### Что мы предлагаем: * комфортный современный офис рядом с м. Кутузовская проспект * формат работы – офис/гибрид * ежегодный пересмотр зарплаты, квартальная и годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Задачи: — Проектировать и разрабатывать сервисные модули (расписание, учетные блоки, маршрутизация, отчетность) — Разрабатывать сквозные обмены данными и интеграции, обеспечивать связность данных без дублирования — Выстраивать процесс разработки и тестирования с использованием AI-агентов — Настраивать обработку ошибок, механизмы повторных запросов и логирование — Проводить сквозную проверку сценариев и сопровождать релизы от постановки задачи до вывода в Production Требования: — Опыт разработки: уверенный уровень Middle, прочная инженерная база — Стек: глубокое владение одним из языков — PHP / Python / JavaScript — Архитектура и инфраструктура: понимание stateful-приложений, асинхронности, многопоточности, работы с базами данных — DevOps / CI: базовое понимание Docker, Kubernetes, CI/CD, балансировки нагрузки — AI-инструменты: практический опыт разработки с AI-агентами — Софт-скиллы: системность, ответственность, ориентированность на конечный рабочий результат Условия: — Полная занятость — Формат работы: гибрид (Караганда)

Задачи: — Анализ бизнес-потребностей клиентов и определение технологических решений для их реализации. — Сбор и анализ требований, подготовка документации по цифровым продуктам и функциональных спецификаций. — Подготовка проектной документации, включая use cases, user stories, BPMN-диаграммы, UML-модели и wireframes. — Участие в этапах анализа и планирования разработки программного обеспечения. — Исследование и сравнение технологических решений, анализ KPI для повышения эффективности бизнеса. — Подготовка презентаций и представление результатов анализа и предлагаемых решений заинтересованным сторонам. Требования: — Опыт работы в IT от 2-х лет. — Опыт сбора, анализа, проверки и приоритизации требований. — Навыки подготовки бизнес- и технической документации, включая use cases, user stories, BPMN, UML и wireframes. — Понимание жизненного цикла разработки ПО (SDLC), IT-операций и методологий Agile / Waterfall. — Знание принципов системной интеграции, API и потоков данных. — Знание хотя бы одного языка программирования. — Опыт работы с JIRA, Confluence или Azure DevOps. — Знание фреймворков корпоративной архитектуры, таких как TOGAF, ITIL или Zachman, будет преимуществом. — Уверенное владение английским языком (устно и письменно). Условия: — Ежегодные бонусы по результатам работы. — Медицинское страхование и страхование жизни. — 30 календарных дней отпуска и 5 дополнительных дней оплачиваемого больничного без подтверждения. — Корпоративные скидки и специальные предложения. — Программа признания достижений. — Внутренние и внешние программы обучения, сертификации и профессионального развития.

Location: Sofia About us The Financial Times is one of the world’s leading news organisations, globally recognised for its authority, integrity and accuracy, with a mission to deliver quality information and services worldwide. At the FT, curiosity thrives and ambitious thinking is rewarded. Here, you’re given the chance to reach millions, create work that matters and deliver impartial journalism in a polarised world. In our warm, collaborative culture, you’ll connect with a diverse community of experts who support your growth, career aspirations and wellbeing. Your future at the FT will be filled with opportunities that challenge and inspire you. With no fixed path, you’ll discover new skills and forge a career that can take you anywhere. Build a newsworthy career at the FT. Our commitment to diversity, equity and inclusion We believe everyone should have a fair opportunity to contribute, succeed, and reach their full potential. That means ensuring everyone is heard, respected, and valued, while identifying and removing barriers that may get in the way. Our commitment is to be an employer role model, grounded in inclusion and fairness for all.We want every application to receive fair and thoughtful consideration; therefore, all applications are reviewed by a member of our recruitment team, not by AI. The role The Analytics Engineer is responsible for bridging the gap between data engineering and data analytics by maintaining and developing scalable data models and solutions that support finance, B2B, and B2C teams. The role plays a key part in delivering value through modern data stack technologies (including dbt), supporting cloud migration efforts, ensuring data quality, and maintaining the performance of analytical data pipelines. Key responsibilities Collaborate with stakeholders across departments to design and implement robust data models and BI solutions. Build, test, and maintain data transformations using dbt (data build tool). Implement software engineering best practices for data, including version control, CI/CD, and automated testing. Deliver day-to-day support and project-related tasks for the data and BI infrastructure. Develop and maintain scalable, maintainable, and well-documented data pipelines. Identify and resolve issues across ETL/ELT processes and data pipelines. Required skills and experience Essential 3+ years of experience in Analytics Engineering, BI, or Data Engineering roles. Strong proficiency in SQL, including complex queries and performance tuning. Hands-on experience with dbt for data transformation and modeling. Understanding of data migration to cloud platforms such as AWS (Redshift) or GCP (BigQuery). Familiarity with database design, version control (e.g. Git/GitHub), and CI/CD practices. Experience with ETL/ELT tools (e.g. Airflow,DBT). Personal skills Strong analytical thinking and problem-solving abilities. Effective communication skills and ability to collaborate across teams. Attention to detail and focus on continuous improvement and data quality. Adaptability to fast-paced environments. Often used technology stacks and tools Databases & Data Warehouses: AWS Redshift, BigQuery, MS SQL Server. Data Transformation: dbt (data build tool). ETL & Data Processing: Airflow. BI & Data Visualization Tools: Looker. Programming & Scripting: SQL, Python. Version Control & DevOps: GitHub, CI/CD pipelines. Cloud Platforms: AWS, GCP. What’s in it for you? Our benefits Annual bonus scheme 25 days paid leave 24/7 Employee Assistance Program Life Insurance Enhanced Parental Leave policy Food Allowance Multisport Card Both in house and external training programs Your own training dedicated budget (for conferences, courses etc.) We currently operate a hybrid model which requires staff to work onsite 50% of the time, subject to role requirements & regular review. While flexible working requests will be considered, not all patterns are suitable for all roles. We believe this balanced approach supports flexibility and protects our culture, making collaboration and communication easier, building stronger relationships and team cohesion, and supporting peer learning.  We reserve discretion on reasonable notice to change this approach either generally or for specific individuals or teams. Accessibility We are a disability confident employer and Valuable 500 signatory. Please let us know if you require any reasonable adjustments/personalisation as part of the application process or to enable you to attend an interview. If you would like to discuss your requirements or have any questions, email talent@ft.com and a member of our team will be happy to help. Further information At the FT, we embrace innovation and the use of technology and appreciate that individuals may leverage AI tools as part of their job application process. Whilst we are happy for you to use AI to assist with your application, it is essential that all information provided is authentic and accurately represents your skills, experience, and qualifications. Candidates should be aware that the use of AI throughout the application process may be monitored to ensure a fair and transparent hiring process for all. Please beware of fraudulent job postings and offers claiming to be from the Financial Times. All legitimate opportunities will direct you to apply through the official Financial Times careers site, and the FT will never ask for financial information, payments, or referrals to third parties during the hiring process. If you have any concerns about the legitimacy of a job posting or suspect any scam activity, please contact talent@ft.com. Interested in the FT but don’t see the right role yet? Join our Talent Community to receive exclusive updates, featured jobs, and insights into working at the FT. #LI-MG1

Location: Москва Ищем Java-разработчика в команду разработки AI Бизнес-помощника внутри интернет-банка для предпринимателей (СберБизнес). Цель нашего Помощника- взять на себя рутинные банковские операции, помочь подобрать сервисы, подходящие конкретному пользователю, подсказать возможные векторы развития его бизнеса на основе предыдущих результатов работы. Взаимодействие пользователя с Помощником происходит через чат, под капотом которого - LLM, RAG, MCP и, конечно, классические прикладные сервисы. Система семантически различает сотни смежных бизнес-сценариев, извлекает критическую информацию и подключает профильные GenAI-инструменты для выполнения операций. Над чем предстоит работать в ближайшее время: * научить систему лучше запоминать и использовать факты о пользователе, чтобы подстраиваться под его особенности и контекст; * развивать платформу для агентов, которые действуют на опережение — сами инициируют полезные операции или предупреждают о важных событиях без явного запроса; * усиливать безопасность и отказоустойчивость системы; * совершенствовать архитектуру, чтобы компоненты и процессы координировались быстрее и точнее. О нас: [https://www.sberbank.ru/ru/s\_m\_business/giga-assistant](https://www.sberbank.ru/ru/s_m_business/giga-assistant) Обязанности * проектировать решения, в том числе разрабатывать детальную внутреннюю архитектуру сервиса, включая интеграционные сценарии * принимать участие в разработке крупнейшего в России интернет-банка для юридических лиц * работать в Agile-команде (ежедневные стендапы, 2х-недельные спринты, демонстрация, ретроспектива) * проводить и проходить Code Review **Технологии / фреймворки:** * Java 17 * Spring Framework, Spring Boot * PostgreSQL / Oracle * Hibernate * Gradle Инструменты: * Jenkins, Jira, Bitbucket, Confluence, Podman (Docker), Kubernetes (OpenShift) Требования * опыт от 3х лет разработки высоконагруженных и отказоустойчивых систем * уверенное знание Java 8+ * уверенные знания Spring Framework, Spring Boot,  * умение писать Unit-тесты, знание фреймворков JUnit, Mockito * опыт разработки REST-сервисов * опыт работы с реляционными БД PosgreSQL или Oracle (требования ACID); * опыт работы с Docker * умение работать в команде: дружелюбность и открытость к взаимодействию Желательно: * базовые навыки работы в Unix-системах * понимание принципов DevOps и CI/CD * опыт работы с Jenkins * опыт работы с Kafka * опыт работы с Elasticsearch. * Опыт работы с MCP * Опыт проектирования и разработки асинхронного взаимодействия * Опыт применения современных LLM-инструментов Условия * комфортный современный офис рядом с м. Кутузовская * возможность выбрать удобный график – офис/гибрид * ежегодный пересмотр зарплаты и годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера

Задачи: — Разработка структуры базы данных и хранимых процедур, функций, триггеров, представлений и других программируемых объектов на языке T-SQL; — Доработка и исправление багов в работе информационных систем, находящихся в эксплуатации, оптимизация их работы; — Доработка существующих и разработка новых алгоритмов расчетов; — Участие в проектировании информационных систем. Требования: — Навыки анализа производительности и оптимизации запросов; — Опыт работы с MS SQL Profiler/ Extended Events; — Знание Sybase PowerDesigner; — Основы установки, настройки и администрирования MS SQL Server; — Знание основ нереляционных баз данных (MongoDB, Redis); — Опыт работы с инструментарием разработчика: Postman, Консоль разработчика браузера; — Владение Git, JIRA; — Базовые навыки DevOps (развёртывание и настройка прикладного программного обеспечения, навыки работы в Linux/Unix). Условия: — Режим работы: пятидневка, с 08-00 до 17-00 часов; — Компенсация за обед; — Отпуск 30 календарных дней; — Мобильная связь; — 13-я заработная плата.

Location: Remote, Brazil GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As the Regional Director, Commercial Sales - LATAM, you'll lead a team of Commercial Account Executives to grow adoption of GitLab's artificial intelligence (AI)-powered DevSecOps platform, which brings together software development, security, and operations. You'll own software sales, bookings, and revenue across the region, helping new and existing customers increase developer productivity, improve operational efficiency, and reduce security and compliance risk. You’ll also build a foundational operational discipline, including a defined sales cadence, a common methodology (MEDDPICC and Command of the Message) applied consistently across the team, and a partner strategy that multiplies regional coverage. Reporting to the Area Vice President, LATAM, you'll hire and develop your team, set territory and industry strategies, and align regional sales plans with GitLab's growth goals. In your first year, you'll focus on building a strong team culture, deepening customer relationships across LATAM, and consistently meeting or exceeding performance objectives. What you'll do Lead, coach, and develop Commercial Account Executives serving the LATAM market to deliver software sales, bookings, and revenue results. Build territory and industry plans based on market dynamics, customer needs, and competitive trends, and turn those plans into growth opportunities. Establish that operating rhythm including qualification standards, pipeline hygiene, deal inspection, and forecast accuracy. Own accurate sales forecasts, territory management plans, and regional growth strategies aligned with GitLab's revenue goals. Establish, track, and report on team performance metrics, and address gaps through coaching and changes to regional plans. Partner with Renewals, Marketing, and Sales Operations to manage pipeline health, renewal performance, and deal execution. Recruit, hire, and onboard sales talent, and maintain a pipeline of potential future hires in the region. Build an inclusive, positive team culture through regular coaching, clear expectations, and ongoing development. Enable your team on GitLab's product, pricing, AI-powered DevSecOps positioning, and industry and regulatory factors relevant to LATAM markets. What you'll bring Progressive experience in field sales and sales operations in open source software, DevOps, or a similar software-as-a-service environment. We welcome transferable leadership and regional sales experience from adjacent software markets. Success leading and developing account-focused sales teams, including hiring, coaching, and performance management. A track record of meeting or exceeding revenue, pipeline, and other sales performance objectives. Experience building and executing go-to-market strategies for LATAM, with a willingness to lead your team and participate directly in selling. Commercial and analytical skills to interpret sales performance, market trends, customer needs, and competitive dynamics, and use those insights to improve regional plans. Practical experience using customer relationship management (CRM) and sales and marketing tools, such as Salesforce, Clari, or Marketo, to manage forecasts, territories, and pipeline. Relationship-building, negotiation, and presentation skills, including executive-level written and verbal communication and the ability to mentor others. Interest in open source and a commitment to GitLab's values of collaboration, results, efficiency, diversity, inclusion and belonging, iteration, and transparency. About the team You'll join our Sales organization in the Commercial LATAM region. As an all-remote team, we collaborate across time zones using asynchronous workflows. We drive new and expansion revenue and partner with Renewals, Marketing, and Sales Operations to serve customers across LATAM. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Задачи: — общаться с клиентами на английском и русском языках; — помогать пользователям работать с продуктом; — обрабатывать входящие запросы; — разбираться в технических проблемах и передавать их команде разработки; — сопровождать клиентов и улучшать клиентский опыт. Требования: — fluent English и fluent Russian (разговорный уровень английского); — технический бэкграунд: опыт, курсы, сертификаты или junior-level знания в QA, Dev, DevOps, PM и смежных направлениях; — грамотная письменная коммуникация; — внимательность, ответственность и умение разбираться в продукте; — готовность работать full-time без совмещения с другой работой; — готовность работать по часовому поясу MSK или иметь значительное пересечение с MSK working hours. Будет плюсом: — опыт в Customer Support или Customer Success; — опыт работы с SaaS, e-commerce или техническими продуктами; — понимание процессов QA и взаимодействия с разработчиками. Условия: — полный рабочий день; — удалённая работа; — оплата от 800 до 1120 долларов в месяц. На интервью проверят опыт работы с проектами и продуктами, базовые технические знания, портфолио и сертификаты.

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As Staff Product Manager, Test & Code Coverage, you'll build product capabilities from initial discovery through launch and adoption. You'll help engineering teams understand why pipelines fail, improve test automation, and use code coverage to make better decisions about software quality and risk. You'll turn a technically complex problem space into a focused strategy, roadmap, and developer experience. Working closely with Engineering and Design, you'll explore how agents can diagnose failures, recommend next steps, and help teams recover safely. The goal isn't to add artificial intelligence (AI) for its own sake. It's to reduce manual work and help developers get back to a safe, shippable state without losing trust or control. At GitLab, our mission is simple: to enable everyone to contribute to and co-create the software that powers our world. You'll contribute to that mission by making testing and coverage insights more useful across the software development lifecycle. What you'll do Define and communicate the Test & Code Coverage product vision, strategy, and outcome-focused roadmap, from discovery through a minimum viable product, beta, launch, and continued iteration. Identify customer problems across pipeline failure diagnosis, test automation, test optimization, code coverage, and recovery. Build the case for investment, prioritize foundational and customer-facing work, and reshape or stop initiatives that aren't creating value. Work with Engineering to understand pipeline failures caused by flaky tests, testing gaps, environment issues, configuration problems, and coverage blind spots. Connect code changes, tests, pipeline behavior, historical patterns, and risk to help developers find a diagnosis and an actionable next step. Work directly with customers to understand how they author, maintain, select, prioritize, and debug tests. Connect test selection, test impact analysis, code coverage, and pipeline intelligence to reduce flaky tests, shorten feedback loops, and focus testing effort where it lowers the most risk. Partner with Engineering and Design to prototype agent-driven workflows for failure diagnosis, test authoring and repair, optimization, coverage analysis, and recovery. Make actions reviewable through evidence, confidence, human approval, and safe paths to propose code changes and merge requests. Use AI tools in your own product work to investigate problems, explore code and data, prototype concepts, and accelerate learning. Define and measure outcomes such as time to diagnose, time to recover, failure recurrence, test signal quality, and developer confidence. Validate problems and solutions with customers and learn from production usage. Partner across Product, Engineering, Design, Quality, Developer Experience, Customer Success, Support, and Product Marketing to connect testing insights with code review, pipelines, and release decisions. Turn customer evidence into clear narratives that support adoption and future investment. Lead through clear written communication, prioritization, and product judgment. Influence senior stakeholders, establish repeatable discovery and measurement practices, and mentor other product managers. What you'll bring Experience owning complex technical products, platforms, or developer workflows at Staff, Senior Staff, Principal, or equivalent scope, including building a new product or capability from initial validation through launch and adoption. Strong product fundamentals in customer discovery, problem framing, prioritization, roadmap development, outcome measurement, and iterative delivery. Technical fluency in one or more relevant areas, such as software testing, test automation, code coverage, continuous integration and continuous delivery (CI/CD), developer tools, DevOps, developer experience, quality engineering, or software delivery. An understanding of how engineering teams build, test, review, and ship software, and the ability to work with engineers on test architecture, pipeline behavior, code changes, data, integrations, reliability, and scale. Experience diagnosing technical problems and turning complex, noisy signals into clear user experiences and actionable workflows. Experience exploring AI or agent-driven solutions for developer workflows, with the judgment to distinguish useful automation from unsafe or low-confidence actions. Experience using customer conversations to understand problems and inform product decisions, communicating clearly in writing and conversation, and influencing across functions with shared ownership. You can work directly with developers, quality engineers, platform teams, engineering leaders, and executives, and move between strategy and implementation detail. About the team Our work brings together Product, Engineering, and Design, with input from Quality, Developer Experience, Customer Success, Support, and Product Marketing. We work directly with developers, quality engineers, and engineering leaders to understand their testing practices, validate ideas, and learn from how they use the product. We give Engineering and Design clear customer context and room to shape solutions. Our decisions draw on customer evidence and measurable outcomes, and we revisit approaches that aren't creating value. You'll contribute to how we discover problems, prioritize work, and measure progress, as well as sharing product management practices with other product managers. As part of GitLab's all-remote organization, we collaborate asynchronously across regions. Our work emphasizes transparency, written communication, and clear decision-making. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $168,000 — $285,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

About the Role We are looking for an experienced Cybersecurity Specialist / Security Engineer to secure and continuously improve the company’s server, network, cloud, and application infrastructure. The ideal candidate combines strong hands-on technical expertise with the ability to independently investigate security incidents, assess risks, design secure architectures, and implement effective security controls. A key requirement is practical experience with Zero Trust architecture and Zero Trust Network Access (ZTNA), including secure identity-based access to internal infrastructure and critical systems. Key Responsibilities: — Ensure the security of the company’s server, network, and cloud infrastructure. — Monitor and analyze information security events to detect attacks, scanning activity, anomalies, and unauthorized access attempts. — Respond to security incidents, including investigation, containment, remediation, root cause analysis, and documentation. — Conduct regular infrastructure security audits and manage vulnerabilities. — Harden Linux and Windows servers, operating systems, and network services. — Configure and maintain Firewalls, WAF, IDS/IPS, VPN, and DDoS protection solutions. — Ensure the security of Web applications and APIs. — Manage and control access to production infrastructure and critical systems. — Develop and maintain security policies, procedures, and Incident Response Playbooks. — Collaborate with DevOps engineers, system administrators, DBAs, and developers to identify and mitigate security risks. — Design, implement, and continuously improve the company’s security architecture and technical controls. Required Qualifications (Must-Have): — 3+ years of hands-on experience in Cybersecurity / Information Security. — Strong understanding of TCP/IP, DNS, HTTP/HTTPS, TLS, VPN, NAT, and network routing. — Solid Linux administration skills. — Practical experience configuring Firewalls, WAF, ACLs, and network segmentation. — Hands-on experience with Cloudflare or equivalent WAF/CDN/DDoS protection solutions. — Good understanding of the OWASP Top 10 and common Web/API attack vectors. — Practical experience with Vulnerability Management tools such as Nessus, OpenVAS, Qualys, or equivalents. — Knowledge of CVE/CVSS and the ability to assess the actual business and technical risks associated with identified vulnerabilities. — Experience with SIEM, IDS/IPS, and centralized log collection. — Ability to analyze system, network, application, and web server logs. — Experience investigating security incidents and working with Indicators of Compromise (IOCs). — Understanding of RBAC, MFA, PAM, the Principle of Least Privilege, and privileged access management. — Experience with Docker and an understanding of container security principles. — Understanding of SAST, DAST, dependency scanning, and secret scanning. — Ability to automate security tasks using Bash and/or Python. Zero Trust — Mandatory Requirements: Practical experience implementing Zero Trust Network Access (ZTNA) solutions and a solid understanding of Zero Trust architecture are essential for this role. The candidate should be able to design, implement, and maintain a Zero Trust approach, including: — Designing and implementing Zero Trust security architecture. — Implementing ZTNA for employees’ and administrators’ access to internal infrastructure. — Replacing network/IP-based trust with identity-based access controls. — Implementing Device Trust and Device Posture checks. — Configuring MFA and Conditional Access policies. — Enforcing Least Privilege Access. — Implementing microsegmentation. — Providing short-lived access and temporary privileged access. — Monitoring and auditing administrative sessions. — Integrating Zero Trust solutions with IAM, SSO, and Identity Providers (IdPs). — Building secure access mechanisms for Linux and Windows servers, databases, internal Web services, and administrative panels.

Location: Mapbox Poland Workplace: Remote Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  WHAT WE DO The Navigation team https://www.mapbox.com/navigation at Mapbox develops and operates web services powering virtually all of Mapbox’s strategic navigation initiatives in consumer, automotive, and logistics verticals. We are a highly multidisciplinary organization, with work spanning distributed systems on AWS to geospatial localization, traffic telemetry, and mapping. Collectively we are revolutionizing in-car experiences with technology to build fast, industry-leading maps and navigation for any vehicle. We’ve launched products such as MapGPT https://www.mapbox.com/mapgpt, Mapbox for EV https://www.mapbox.com/ev, and we’re enhancing the visual experience of in-vehicle navigation with 3D styling with our new Mapbox Standard through web and mobile SDKs. Mapbox has worked with automotive partners https://www.mapbox.com/automotive— including BMW, Toyota, and GM — to bring the best aspects of mobile app development into in-vehicle navigation and infotainment. - Mapbox Blog: Introducing 3D Live Navigation https://www.mapbox.com/blog/mapbox-3d-navigation - Mapbox Blog: Route Notifications Improve Driver Safety https://www.mapbox.com/blog/route-notifications-improve-driver-safety - Mapbox Newsroom: AI Features in New Navigation SDK https://www.mapbox.com/press-releases/mapbox-unveils-ai-features-in-new-navigation-sdk As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow. WHAT YOU’LL DO As a Machine Learning Engineer III on the Routing Cost team, you will lead the design, development, and delivery of highly trafficked recommendation systems for our routing cost engine. Your technical contributions will include: - Lead the engineering team(s) to execute end-to-end feature implementation within the larger navigation organization (~80 engineers). - Design and build new ML and data pipelines, as well as optimizing existing ML and data pipelines. - Build tools for automated quality assurance and data exploration. - Leverage geospatial algorithms to optimize pipelines, as well as creating automated tuning and outlier detection algorithms. - Partner with data scientists to make improvements to our models for determining patterns in movement and/or traffic. - Mentor colleagues and participate in code and design reviews. - Participate in an on-call rotation to ensure our systems remain available to customers 24/7. Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends. WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE - 8-10+ years of backend and ML experience: Extensive hands-on experience showcasing expertise and a strong track record in the engineering field. - Technical knowledge: Extensive experience with Python, distributed processing pipelines (Hadoop, Spark, Airflow, Dask), and very large datasets – statistical analysis, data quality control, optimizing storage. - Cloud proficiency: Extensive experience with cloud and infrastructure services, including, as well as deploying and managing infrastructure in cloud environments. - Operational excellence: You drive a culture of quality and continuous improvement in your organization. Strong passion for clean code and robust architecture, with a drive to elevate engineering practices and design standards across the team. - Ownership & execution: Own the technical vision, lead the strategy and guide the team to execute towards building the future of our routing cost engine. - Customer focus: You care deeply about your customers and their problems, and you work tirelessly to innovate on their behalf. - Growth mindset: Have the humility to accept mistakes, learn and grow from them. - Mentorship: Experience mentoring and leading engineering teams developing skill sets and career growth. - Strong written and vocal communication skills: You can talk and write about complex ideas concisely to a wide audience. You are able to lead and resolve org-wide technical discussions and are able to collaborate and include input from cross-functional teams (security, devops, data, compliance and product). - Data informed mindset: You believe in the value of data informed decision making and strive to measure things that are not straight forward but essential. You also have the right instincts to make speedy decisions in the absence of perfect & comprehensive data WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. Our annual compensation for this role ranges from $102.000 - $153.000 (salaries are in USD). Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of the role). By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here.  Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application.  We are committed to a fair and equitable hiring process. We do not discriminate against any protected class.

Location: Finland; Mapbox Helsinki Workplace: Remote Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  WHAT WE DO The Navigation team https://www.mapbox.com/navigation at Mapbox develops and operates web services powering virtually all of Mapbox’s strategic navigation initiatives in consumer, automotive, and logistics verticals. We are a highly multidisciplinary organization, with work spanning distributed systems on AWS to geospatial localization, traffic telemetry, and mapping. Collectively we are revolutionizing in-car experiences with technology to build fast, industry-leading maps and navigation for any vehicle. We’ve launched products such as MapGPT https://www.mapbox.com/mapgpt, Mapbox for EV https://www.mapbox.com/ev, and we’re enhancing the visual experience of in-vehicle navigation with 3D styling with our new Mapbox Standard through web and mobile SDKs. Mapbox has worked with automotive partners https://www.mapbox.com/automotive— including BMW, Toyota, and GM — to bring the best aspects of mobile app development into in-vehicle navigation and infotainment. - Mapbox Blog: Introducing 3D Live Navigation https://www.mapbox.com/blog/mapbox-3d-navigation - Mapbox Blog: Route Notifications Improve Driver Safety https://www.mapbox.com/blog/route-notifications-improve-driver-safety - Mapbox Newsroom: AI Features in New Navigation SDK https://www.mapbox.com/press-releases/mapbox-unveils-ai-features-in-new-navigation-sdk As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow. WHAT YOU’LL DO As a Machine Learning Engineer III on the Routing Cost team, you will lead the design, development, and delivery of highly trafficked recommendation systems for our routing cost engine. Your technical contributions will include: - Lead the engineering team(s) to execute end-to-end feature implementation within the larger navigation organization (~80 engineers). - Design and build new ML and data pipelines, as well as optimizing existing ML and data pipelines. - Build tools for automated quality assurance and data exploration. - Leverage geospatial algorithms to optimize pipelines, as well as creating automated tuning and outlier detection algorithms. - Partner with data scientists to make improvements to our models for determining patterns in movement and/or traffic. - Mentor colleagues and participate in code and design reviews. - Participate in an on-call rotation to ensure our systems remain available to customers 24/7. Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends. WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE - 8-10+ years of backend and ML experience: Extensive hands-on experience showcasing expertise and a strong track record in the engineering field. - Technical knowledge: Extensive experience with Python, distributed processing pipelines (Hadoop, Spark, Airflow, Dask), and very large datasets – statistical analysis, data quality control, optimizing storage. - Cloud proficiency: Extensive experience with cloud and infrastructure services, including, as well as deploying and managing infrastructure in cloud environments. - Operational excellence: You drive a culture of quality and continuous improvement in your organization. Strong passion for clean code and robust architecture, with a drive to elevate engineering practices and design standards across the team. - Ownership & execution: Own the technical vision, lead the strategy and guide the team to execute towards building the future of our routing cost engine. - Customer focus: You care deeply about your customers and their problems, and you work tirelessly to innovate on their behalf. - Growth mindset: Have the humility to accept mistakes, learn and grow from them. - Mentorship: Experience mentoring and leading engineering teams developing skill sets and career growth. - Strong written and vocal communication skills: You can talk and write about complex ideas concisely to a wide audience. You are able to lead and resolve org-wide technical discussions and are able to collaborate and include input from cross-functional teams (security, devops, data, compliance and product). - Data informed mindset: You believe in the value of data informed decision making and strive to measure things that are not straight forward but essential. You also have the right instincts to make speedy decisions in the absence of perfect & comprehensive data WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here.  Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application.  We are committed to a fair and equitable hiring process. We do not discriminate against any protected class.

Location: Azerbaijan; Ukraine Key Responsibilities Work on product features and impact customer experience Develop and maintain our Java Spring-based platform for a quickly scaling business Collaborate with a distributed team of highly skilled engineers Contribute to the architecture and design of our growing platform Ensure code quality, performance, and scalability Requirements Strong Java experience (6+ years) Proficiency in Spring Framework (Spring Boot, Spring Cloud, MVC, Security), ORM frameworks (JPA/Hibernate) Experience with relational and NoSQL databases. AWS knowledge, including ECS, EC2, RDS, Lambda, S3, IAM, CloudFormation, CloudWatch, etc. DevOps skills in AWS provisioning, operations, and management. Strong problem-solving skills and attention to detail. Ability to work independently in a remote setting. Fluent English and Russian communication skills. AI adoption Nice to Have AWS Certification Team lead experience What do we offer: Challenging tasks with a great opportunity to level up your skills 20 working days of paid vacation Working hours are 9:00–17:00 London time Additional days off follow the UK holiday calendar The team is international (Ukraine, Azerbaijan, South Africa). Salary: $5,000 – $7,000 / month

Location: Москва Мы — центр компетенций по работе с данными в одном из ведущих банков страны. Наш контур — это тысячи критических ETL-процессов, обеспечивающих принятие решений на уровне топ-менеджмента и бесперебойную работу розничных сервисов. Сейчас мы строим платформу индустриализации ETL — это «фабрика по производству пайплайнов», где Core на Scala/Spark, умный CI/CD и прозрачный UI объединены в единый Self-Service продукт. Мы ищем TechLead, который возьмет на себя архитектурную целостность этого сервиса, сможет вывести команду инструментов на новый уровень надежности и станет связующим звеном между инфраструктурой и командами-потребителями данных. Обязанности * спроектировать ядро платформы: построить универсальный ETL-фреймворк на Scala/Spark, полностью абстрагировав бизнес-логику от инфраструктурного кода * настроить промышленный CI/CD: внедрить автоматический деплой пайплайнов через Git (Dev → QA → Prod) с авто-тестированием, линтингом и бесшовной подгрузкой секретов из Vault * управлять технологическим стеком: принимать стратегические решения по выбору целевого технологического стека и лидировать процесс перехода на него, внедрение AI * возглавить команду инженеров: лидировать 3 стрима разработки (UI, CI/CD, Core ETL), выстроить жесткие стандарты Code Review Требования * наличие высшего технического образования * опыт управления командой 8-12 инженеров (Data + DevOps + UI) * уверенное владение SQL, Scala, Java, Python, Groovy, Bash, JavaScript * опыт работы с базами данных: Apache Spark, Apache Flink, Apache Iceberg, HDFS, YARN, Kubernetes, S3-совместимые хранилища, ClickHouse, PostgreSQL * экспертный уровень Jenkins Pipeline as Code (Groovy) с организацией Shared Libraries, опыт настройки многостадийных пайплайнов * опыт построения отказоустойчивых и высоконагруженных ETL-платформ, понимание микросервисной архитектуры * базовое знание фреймворка React, проектирование асинхронных систем (опыт с Celery, Redis) * экспертиза в AI & Инновациях: LangChain/LlamaIndex, RAG, интеграция LLM для генерации кода и аномалийного детектирования, AI-подсказки в UI Условия * офисный формат в Москве (ул.Поклонная, 3к1) * ежегодный пересмотр зарплаты и годовая премия * расширенный ДМС и льготное страхование для семьи * уникальная система обучения Сбера для профессионального и карьерного развития * выгодная ипотека для сотрудников * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера * корпоративная пенсионная программа.

Location: Warsaw, Poland; Wroclaw, Poland On behalf of CloudSec Client #1 , SD Solutions is looking for a talented Backend Team Lead. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. In this role, you will combine hands-on technical leadership with people management, while tackling complex engineering challenges on a daily basis. The team is responsible for designing, building, and continuously improving scalable backend systems in a cloud-native environment. You will work with all major cloud providers (AWS, GCP, Azure) and lead development using cutting-edge technologies such as Kubernetes, Kafka, ElasticSearch, Redis, Azure ADX, RabbitMQ, and more. This is a key leadership role with direct impact on architecture, delivery, and team growth. Responsibilities: Responsible for the entire lifecycle of the projects, from initial design and development to deployment, monitoring and maintenance in the production environment Contributing to technological and architectural decisions Conducting design and code reviews Analyzing and improving efficiency, scalability, and stability of various backend system components Interfacing with other teams (e.g. Frontend, DevOps, Research, Product) to deliver best-in-class features Requirements: Bachelor of Science in Computer Science/Software Engineering or related field 5+ years of experience with Backend Engineering in a high-level programming language (e.g. Java, C#, Python, Go) 3+ years of experience as a Team Lead Experience with cloud platforms and products (e.g. AWS, GCP and Azure) Experience implementing data-intensive systems (message queue technologies) Experience with microservices-based architecture Advantages: Experience in the cybersecurity industry - advantage. About the company: A next-generation cloud security platform that leverages runtime context to identify and prioritize critical risks. Unlike conventional tools, it uses runtime data proactively for risk prioritization and posture insights, with eBPF-powered sensors. Capabilities include agentless cloud posture discovery, real-time threat protection, and integrated API security — providing end-to-end protection from misconfigurations to malware defense. By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

Задачи: — Освоить профессию QA-инженера, участвуя в реальном проекте с первого дня стажировки. — Повышать качество выпускаемого продукта. — Применять основные техники тест-дизайна. — Локализовывать баги. — Выполнять тестирование для различных типов информационных взаимодействий (REST и SOAP API, MQ и др.). — Писать SQL-запросы для извлечения информации из баз данных. — И многое другое. Требования: — Широкий кругозор, инициативность, любознательность. — Готовность много общаться и грамотно излагать свои мысли. — Уже полученное профильное IT-образование или непрофильное образование, дополненное курсами по тестированию (не более 1,5 лет назад) или небольшим релевантным опытом работы. Условия: — Полная занятость. — График 5/2. — Формат работы: удалённо, гибрид или офис. — Зарплата от 50 000 до 50 000 ₽ за месяц на руки. — За стажёром закреплен опытный наставник для поддержки и ответов на вопросы. — Возможность прокачивать опыт и глубже погружаться в специфику IT, взаимодействуя с другими участниками команды: разработчиками, системными аналитиками, DevOps-инженерами, менеджерами проекта и не только. Дополнительно: — Подготовлена программа обучения с практической частью для погружения в профессию. — Компания успешно выпустила десятки QA-инженеров, которые работают по профессии и развиваются в карьере.

Компания «S7 Techlab» — IT-подразделение крупнейшей частной авиакомпании России. Разрабатывает собственные продукты для продажи авиабилетов, коммуникаций с путешественниками, учета финансов и обслуживания в аэропорту. Системы прогнозируют спрос и управляют предложением услуг, автоматизируют поддержку и улучшают пользовательский опыт на сайте и в приложении S7 Airlines. Программные решения регулируют работу авиапарка, оптимизируют маршруты, оценивают потребности в обслуживании самолетов. Внедряют искусственный интеллект, машинное обучение и облачные технологии, исследуют большие данные и клиентский опыт. Data office S7 построен на принципах data mesh и децентрализованной аналитики. В линейке продуктов представлены хранилища данных по коммерции, флоту, сотрудникам, пассажирам и рейсам. Задачи: — Управление командой разработки в продуктах систем класса DWH: распределение задач, найм, менторинг и развитие подчиненных, контроль и ответственность за результат команды; — Формирование технических решений; — Разработка, поддержка и оптимизация ETL процессов для формирования слоя модели данных, витрин данных, а также загрузки данных систем источников; — Настройка инструментов для обработки и анализа данных; — Взаимодействие с командой аналитиков по постановке задач и выявлению приоритетов, с командой разработки по технической реализации, со смежными командами (DBA, devops, SRE); — Миграция с легаси решений на новые целевые. Требования: — Опыт от 3-х лет на аналогичной должности; — Экспертное знание SQL и Python; — Понимание способов моделирования систем класса DWH и компонентов платформы данных; — Опыт работы с MPP БД / движками (Vertica, Greenplum, Trino, Spark), глубокое понимание особенностей работы распределенных вычислений; — Опыт работы с оркестраторами ETL процессов (Airflow, Dagster); — Опыт управления командой разработки от 2-3 человек. Будет плюсом, если знаете и применяли в работе: — Распределенный брокер сообщений Kafka; — DQ фреймворки (Great Expectations, Soda, Deeque); — Распределенные объектные хранилища (HDFS, S3); — SQL фреймворки (dbt, sqlmesh); — Контейнеризация и оркестрация (Docker, Kubernetes). Условия: — Работа в аккредитованной IT-компании; — Гибридный/офисный формат работы; — Работа в комфортном офисе по адресу ул. Петровка, 7; — ДМС со стоматологией после прохождения испытательного срока; — Корпоративная жизнь с разнообразными коллективными событиями; — Подарки для детей к первому классу и на Новый год; — Профессиональное развитие: обучение в компаниях-партнерах, участие и выступление в конференциях; — Полеты по корпоративным тарифам S7 Airlines; — Корпоративные скидки в BestBenefits: рестораны, обучающие курсы, товары и т.д.; — Программа комплексной поддержки «Понимаю» (бесплатные консультации юристов, психологов, нутрициологов, финансистов).