Вакансии

Задачи: — улучшение решений в области Data Science — обеспечение качества и производительности моделей машинного обучения Требования: — опыт в QA, преимущественно в backend тестировании, с сильным владением Python (Pytest) для написания и поддержки автоматизированных тестов не менее 3 лет — опыт работы с Linux и сопутствующими инструментами — уверенные знания Bash скриптинга — понимание принципов Docker/Kubernetes, базовые знания CI/CD — умение анализировать логи backend сервисов, включая использование Open Lens или аналогичных инструментов — опыт работы с Kafka и Kibana или готовность быстро их освоить — навыки тестирования RESTful и gRPC API — уровень английского от Intermediate и выше

Location: Belfast, Northern Ireland, Remote Workplace: remote Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalised and profitable guest experiences. As a result, our digital ordering, payment, loyalty and guest engagement solutions enable brands to do more with less and make every guest feel like a regular. While our roots are in NYC, we’re intentionally investing in Belfast and Northern Ireland as a key hub, with an established leadership presence, a local team, and community for the long term. This role is fully remote, offering you flexibility to work from anywhere within NI. Your new role In this role, you’ll join as a Software Engineer on the ‘BrandX’ team, which is part of the wider ‘Order Engineering’ group. BrandX (Brand Experience) builds the tools restaurant brands and Olo's internal teams use to run their business on Olo. We own the Dashboard that brand operators log into every day, the internal Admin application, and the billing and invoicing systems that turn platform usage into invoices. We also own how brands sign in and manage their users, including SSO and two-factor authentication, and we are building Olo AI Assist, a natural-language assistant inside the Dashboard. The team is seven engineers spread across the US and Europe, and you'd be our first hire in Northern Ireland. Because the team sits between brands, Finance, and the rest of Order Engineering, the work is varied. One week you might be shipping a new Dashboard settings page, the next you're tracing a billing discrepancy across our finance integrations or teaching Olo AI Assist a new skill so a brand can update hours across hundreds of stores just by asking. You'll pair with senior engineers, review and ship code most days, and use Claude Code as a normal part of how you work. How you’ll make an impact Learn the BrandX domain and technology stack, and get to know the brands, Finance partners, and Order Engineering teams we work with. Own small-to-medium features end to end, from understanding the requirement to shipping it, with senior engineers available when you need them. Write code that meets our standards, and participate in code reviews as both author and reviewer. Build reliable and maintainable software, with test coverage that matches the risk of the change. Contribute to the team’s delivery pipeline, including test coverage, CI, and deployment practices. Use Claude Code and GitHub Copilot as your default way of building, and help the team push what these tools can do. Troubleshoot and debug production issues, learning how our systems fit together along the way. Participate in team ceremonies such as daily stand-ups and retrospectives, sharing updates and feedback. Take part in learning activities, including game days and training sessions, to build familiarity with Olo’s tools and processes. Join the on-call rotation, with responsibilities that grow as you learn the team’s systems. What will set you up for success Bachelor’s Degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. 1 to 3 years of professional software engineering experience, or a strong portfolio of shipped projects. Working knowledge of C# and .NET, and comfort reading code you didn't write. Some experience building web UIs. We use React and TypeScript, but any modern framework is a fine starting point. Comfortable with SQL and relational data. A lot of our work is understanding how data moves between systems. You understand the difference between unit, integration, and end-to-end tests and when each one earns its place. AI coding agents are your default way of working. You use tools like Claude Code daily, you can explain the fundamentals underneath what they generate, and you're excited about a team that expects you to push them further. You ask questions early, write things down, and are comfortable working with colleagues in other time zones. About Olo Olo is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 800 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology’s positive impact and creating a world where every restaurant guest feels like a regular. Learn more at olo.com. Applicant Privacy Notice (United Kingdom)

SQL Developer: — разработка, оптимизация и сопровождение SQL-кода систем: написание сложных SQL-запросов, разработка процедур, функций, триггеров и views, работа с индексами, создание миграций — анализ execution plans, проведение code review и рефакторинг — участие в разборе production-инцидентов Требования: — коммерческий опыт SQL-разработки — уверенное понимание реляционных БД, транзакций и блокировок — опыт работы с миграциями и Git Database Engineer / DBA: — оптимизация запросов и структуры БД — анализ execution plans, поиск блокировок и deadlock — контроль изменений в Test и Production — backup/restore, репликация и обеспечение отказоустойчивости Требования: — опыт работы DBA или Database Engineer — уверенный SQL — понимание индексов, locking, High Availability Product Analyst: — анализ продуктовых метрик B2C-направления: воронки, retention, когорты — расчет unit-экономики и финтех-специфичных метрик (GMV, payment success rate) — настройка трекинга в Amplitude — построение дашбордов и написание SQL-запросов к PostgreSQL — автоматизация анализа на Python Требования: — опыт с SQL и продуктовой аналитикой — Python (pandas/numpy) — понимание unit-экономики и финтех-метрик Общее: — будет плюсом опыт работы в FinTech, банках или платёжных системах, а также с высоконагруженными БД Условия: — формат работы: офис в Караганде или удалённо по всему Казахстану — официальное трудоустройство по ТК РК — понятный онбординг — обучение и развитие за счёт компании — частичная компенсация занятий спортом — корпоративные активности

Location: Hong Kong, Hong Kong SAR OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa. Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are looking for talented, impact-driven Mobile Engineers to join our engineering organization in Hong Kong. In this role, you will build and scale high-performance, resilient native mobile applications that power OKX’s core product ecosystems—ranging from high-concurrency payment and trading engines to user acquisition, engagement, and product growth systems. You will work on cross-functional engineering challenges at global scale, partnering closely with product design, backend architecture, security, and regional teams. What You'll Be Doing Build & Scale Native Mobile Apps: Design, develop, and maintain modular, reliable native mobile features (iOS or Android) used by millions of global users. Architect Core Systems: Drive technical decision-making on mobile architecture, API design, performance optimization, and offline/network resiliency. Collaborate Cross-Functionally: Partner closely with Product Management, Design, and Backend Engineering to translate complex user and commercial requirements into intuitive, reliable mobile experiences. Ensure Quality & Rigor: Write clean, testable, and maintainable code while maintaining high engineering standards for code reviews, testing, security, and monitoring. Integrate AI Workflows: Apply AI coding tools actively in your workflow—not only for code generation, but also to build and maintain repeatable personal AI development workflows. Modernize Engineering Tooling: Leverage modern development tools, automated CI/CD pipelines, and productivity workflows to maintain rapid iteration speeds. What We Look For In You Solid software engineering fundamentals with hands-on experience building, shipping, or maintaining production native mobile applications (iOS with Swift/Objective-C or Android with Kotlin/Java). Strong understanding of mobile system design, clean architecture, memory management, testing, and performance tuning. Ability to actively apply AI coding tools in your workflow and continuously optimize personal engineering productivity. Problem-solving mindset with the ability to take ownership of end-to-end features and drive execution independently. Nice-To-Haves Experience in fintech, crypto, digital payments, high-concurrency consumer apps, or growth systems. Familiarity with mobile architecture patterns, CI/CD pipelines, experimentation frameworks, or attribution tools. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-ML1 #LI-ONSITE Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Требования к кандидату: — Опыт в тестировании от 3-х лет — Ручное тестирование web- и мобильных приложений — Тестирование REST API (Postman, Swagger) — Разработка и поддержка автотестов на Java (Selenium) — Опыт с Cypress — Знание SQL (MySQL), умение работать с JSON/XML — Работа с Jira, Confluence — Опыт с Jenkins, Allure, JMeter — Работа с Git — Умение писать тест-кейсы и чек-листы — Анализ требований, участие в планировании тестирования Основные обязанности: — Тестирование web- и мобильных приложений — Тестирование REST API — Разработка и поддержка автотестов — Создание тест-кейсов и чек-листов — Анализ требований и планирование тестирования — Поиск, локализация и сопровождение дефектов в Jira — Взаимодействие с командами разработки и аналитики — Демонстрация функционала заказчикам и команде Будет плюсом: — Опыт настройки автоматического мониторинга сервисов — Опыт работы в телеком-сфере Что предлагают: — Современные и уютные офисы в Астане и Алматы — Гибридный формат работы после прохождения испытательного срока — Возможность стать частью продукта, который используется миллионами людей по всей стране — Здоровый work-life баланс

Требования: — 5+ лет опыта в QA, преимущественно с backend-приложениями — 2+ года опыта устранения неполадок в Java-приложениях — Strong English (B1+) и русский язык О компании: Spotware — финтех компания, специализирующаяся на разработке продуктов для брокеров, банков и трейдеров. Условия: — Работа на Кипре — Помощь с релокацией

Location: Prague Job Overview We are looking for an Analytics Engineer who will own dbt Cloud in our organisation and maintain the analytics pipelines built on top of it. You will administer dbt Cloud across multiple independent projects, keep our business-critical pipelines running (including finance data models), and support analysts in other teams as a mentor and go-to person for dbt. Our stack is Snowflake, dbt and AWS, with Python for tooling and automation. We are also building AI-assisted and agentic workflows into our daily work, and you will take an active part in this. Reports to Director of Mobile and New Games What will you do? Administer dbt Cloud for the whole organisation: project setup, environments, permissions, CI/CD, version upgrades and cost control Set up and support multiple independent dbt projects, define common standards and conventions so teams stay aligned Develop and maintain production dbt pipelines, including complex finance models where accuracy and trust are critical Mentor analysts on dbt, SQL modeling, testing and code review Tune Snowflake performance and cost, improve pipeline reliability and monitoring Build tooling and automation in Python (AWS Lambda, S3, orchestration, metadata workflows) Drive AI adoption in our analytics engineering work: build common AI skills for dbt development (documentation, testing, code generation) and automated agentic workflows that the whole team can reuse Follow current trends in AI tooling and agentic systems, evaluate new approaches and bring the useful ones into the team What are we looking for? 4+ years of experience in analytics engineering, data engineering or a similar role Strong hands-on dbt experience, ideally including dbt Cloud administration (projects, environments, jobs, CI/CD), not only model development Strong SQL and data modeling skills Production experience with Snowflake, including performance tuning and cost awareness Python for data tooling and automation Experience with AWS services used in data platforms (Lambda, S3) Experience owning business critical pipelines: data quality testing, incident handling, communication with non-technical stakeholders Experience with mentoring or supporting analysts Fluent English What additional skills will help you stand out? Strong understanding of agentic AI workflows: practical experience building LLM based agents, AI skills and automated workflows for engineering tasks Experience with multi-agent setups (orchestration of several agents, subagents, agent-to-agent handoffs) Good understanding of current trends in the AI space and ability to judge what is actually useful for a data team Experience with multi-project dbt setups (dbt Mesh, cross-project references or similar) Experience with finance or revenue data (reconciliation, reporting-grade accuracy) Background in gaming, mobile apps or other consumer product analytics Familiarity with marketing and attribution data (AppsFlyer) or product telemetry dbt certification Work mode Hybrid (3 days of work from the office) This role isn't eligible for relocation & immigration support. Benefits Benefits and perks are tailored to the local market and culture. Our benefits in Prague include: 5 weeks of Annual Leave per calendar year Additional paid time off Sick Leave Compensation, Maternity & Paternity Leave Benefits Career development and education opportunities within the company Meal card contribution Public transportation allowance Premium private healthcare Mental well-being program (iFeel) Multisport Employee discounts Personal Gaming Account Coffee, fruits, and snacks in the office Company events Seniority Awards Referral program - You can recommend the best talents to the company and receive a reward Please submit your CV in English to ensure smooth processing and review. About Wargaming Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz. Please see Wargaming Candidate Privacy Policy for details on how Wargaming uses your personal data.

Location: Belgrade Job Overview We are looking for an Analytics Engineer who will own dbt Cloud in our organisation and maintain the analytics pipelines built on top of it. You will administer dbt Cloud across multiple independent projects, keep our business-critical pipelines running (including finance data models), and support analysts in other teams as a mentor and go-to person for dbt. Our stack is Snowflake, dbt and AWS, with Python for tooling and automation. We are also building AI-assisted and agentic workflows into our daily work, and you will take an active part in this. Reports to Director of Mobile and New Games What will you do? Administer dbt Cloud for the whole organisation: project setup, environments, permissions, CI/CD, version upgrades and cost control Set up and support multiple independent dbt projects, define common standards and conventions so teams stay aligned Develop and maintain production dbt pipelines, including complex finance models where accuracy and trust are critical Mentor analysts on dbt, SQL modeling, testing and code review Tune Snowflake performance and cost, improve pipeline reliability and monitoring Build tooling and automation in Python (AWS Lambda, S3, orchestration, metadata workflows) Drive AI adoption in our analytics engineering work: build common AI skills for dbt development (documentation, testing, code generation) and automated agentic workflows that the whole team can reuse Follow current trends in AI tooling and agentic systems, evaluate new approaches and bring the useful ones into the team What are we looking for? 4+ years of experience in analytics engineering, data engineering or a similar role Strong hands-on dbt experience, ideally including dbt Cloud administration (projects, environments, jobs, CI/CD), not only model development Strong SQL and data modeling skills Production experience with Snowflake, including performance tuning and cost awareness Python for data tooling and automation Experience with AWS services used in data platforms (Lambda, S3) Experience owning business critical pipelines: data quality testing, incident handling, communication with non-technical stakeholders Experience with mentoring or supporting analysts Fluent English What additional skills will help you stand out? Strong understanding of agentic AI workflows: practical experience building LLM based agents, AI skills and automated workflows for engineering tasks Experience with multi-agent setups (orchestration of several agents, subagents, agent-to-agent handoffs) Good understanding of current trends in the AI space and ability to judge what is actually useful for a data team Experience with multi-project dbt setups (dbt Mesh, cross-project references or similar) Experience with finance or revenue data (reconciliation, reporting-grade accuracy) Background in gaming, mobile apps or other consumer product analytics Familiarity with marketing and attribution data (AppsFlyer) or product telemetry dbt certification Work mode Hybrid (3 days of work from the office) This role isn't eligible for relocation & immigration support. Benefits Benefits and perks are tailored to the local market and culture. Our benefits in Belgrade include: Additional vacation days based on years of service at Wargaming: up to 5 days on top of the statutory minimum Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave) Sick Leave Compensation, Maternity Leave Benefits Premium Private Health Insurance Career development and education opportunities within the company English clubs and platform for learning languages Mental well-being program (iFeel) Commuting allowance Company events FitPass membership Discounts for employees Personal Gaming Account Coffee, fruits, and snacks in the office On-site canteen with subsidized prices for food and drinks Seniority Awards Referral program - you can recommend the best talents to the Company and receive a reward Please submit your CV in English to ensure smooth processing and review. About Wargaming Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz. Please see Wargaming Candidate Privacy Policy for details on how Wargaming uses your personal data.

Location: Nicosia Job Overview We are looking for an Analytics Engineer who will own dbt Cloud in our organisation and maintain the analytics pipelines built on top of it. You will administer dbt Cloud across multiple independent projects, keep our business-critical pipelines running (including finance data models), and support analysts in other teams as a mentor and go-to person for dbt. Our stack is Snowflake, dbt and AWS, with Python for tooling and automation. We are also building AI-assisted and agentic workflows into our daily work, and you will take an active part in this. Reports to Director of Mobile and New Games What will you do? Administer dbt Cloud for the whole organisation: project setup, environments, permissions, CI/CD, version upgrades and cost control Set up and support multiple independent dbt projects, define common standards and conventions so teams stay aligned Develop and maintain production dbt pipelines, including complex finance models where accuracy and trust are critical Mentor analysts on dbt, SQL modeling, testing and code review Tune Snowflake performance and cost, improve pipeline reliability and monitoring Build tooling and automation in Python (AWS Lambda, S3, orchestration, metadata workflows) Drive AI adoption in our analytics engineering work: build common AI skills for dbt development (documentation, testing, code generation) and automated agentic workflows that the whole team can reuse Follow current trends in AI tooling and agentic systems, evaluate new approaches and bring the useful ones into the team What are we looking for? 4+ years of experience in analytics engineering, data engineering or a similar role Strong hands-on dbt experience, ideally including dbt Cloud administration (projects, environments, jobs, CI/CD), not only model development Strong SQL and data modeling skills Production experience with Snowflake, including performance tuning and cost awareness Python for data tooling and automation Experience with AWS services used in data platforms (Lambda, S3) Experience owning business critical pipelines: data quality testing, incident handling, communication with non-technical stakeholders Experience with mentoring or supporting analysts Fluent English What additional skills will help you stand out? Strong understanding of agentic AI workflows: practical experience building LLM based agents, AI skills and automated workflows for engineering tasks Experience with multi-agent setups (orchestration of several agents, subagents, agent-to-agent handoffs) Good understanding of current trends in the AI space and ability to judge what is actually useful for a data team Experience with multi-project dbt setups (dbt Mesh, cross-project references or similar) Experience with finance or revenue data (reconciliation, reporting-grade accuracy) Background in gaming, mobile apps or other consumer product analytics Familiarity with marketing and attribution data (AppsFlyer) or product telemetry dbt certification Work mode Hybrid (3 days of work from the office) This role isn't eligible for relocation & immigration support. Benefits Benefits and perks are tailored to the local market and culture. Our benefits in Nicosia include: 21 days annual leave (additional days based on years of service: up to 25 days) Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave) Sick Leave (10 days top-up to statutory allowance per year) Maternity Leave (18 weeks top-up to statutory allowance per case) Career development and education opportunities within the company English Language courses fully covered by the company upon Manager’s approval Private Health Care Mental well-being program (iFeel) Onsite gym and spa Free parking close to the Nicosia offices, based on availability Free drinks-equipped kitchen in every floor building Eurobank benefits (if applicable) Employee discounts (e.g. restaurants, bars, etc.) Personal Gaming Account Onsite canteen with subsidized prices for food and drinks Company events, Social Clubs Seniority Awards Referral program - You can recommend the best talents to the company and receive a reward Please submit your CV in English to ensure smooth processing and review. About Wargaming Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz. Please see Wargaming Candidate Privacy Policy for details on how Wargaming uses your personal data.

What we're looking for: — 2+ years of experience in test automation — Strong Python skills for writing and debugging test scripts — Experience with Pytest, Cypress, or similar frameworks — Understanding of client-server architecture and microservices — Experience with CI/CD tools such as GitHub Actions — Familiarity with web application security and performance testing — Experience with Git and QA methodologies Nice to have: — JavaScript/TypeScript — API testing experience (Postman, Swagger) — Databases (PostgreSQL, SQLite) — Kubernetes and performance testing experience

Требования: — 5+ лет в IT в целом, включая 2+ года практического опыта создания приложений, агентов и автоматизаций на базе LLM, применение генеративного ИИ в реальных продуктах и бизнес-задачах, подтверждённая старшинство в полном цикле решений. — Опыт разработки на Python: проектирование сервисов, работа с базами данных и API, написание тестов, уверенное владение Git, контейнерами и CI/CD. — Опыт работы с RAG и retrieval: embeddings, векторные базы данных, настройка качества поиска. — Не просто скрипты или расширение существующих автоматизаций. Компания создаёт SaaS-платформу для поддержки малого и среднего бизнеса в области налогов, финансов и бухгалтерии. Условия: — Полностью удалённая работа. — Найм по всей Европе с предпочтением кандидатов, работающих в часовом поясе CET (±3 часа).

Наши пожелания к кандидатам: - опыт работы в роли QA Automation Engineer (Java) от 3 лет - отличное владение тест-дизайном - опыт работы с Java/Kotlin - опыт работы с брокерами сообщений (Kafka, Rabbit) - навык работы с базами данных SQL - опыт работы с технологиями Rest API, Git, JUnit - навыки функционального тестирования Rest-сервисов и других компонентов программы, автоматизация этих тестов - навыки автоматизации кейсов из бэклога кейсов - навыки интеграционного, регрессионного и ручного тестирования, где автоматизация нецелесообразна - опыт работы с БД (Hbase, Clickhouse, Elasticsearch, PostgreSQL) - опыт работы в системе с внешними интеграциями - умение разбираться со сложной бизнес-логикой - умение грамотно составлять баг-репорты и отслеживать их выполнение - умение работать с логами, искать причины дефектов, а не только симптомы

Компания Nebius, специализирующаяся на облачных технологиях для инфраструктуры искусственного интеллекта, ищет старшего инженера по встроенному программному обеспечению. В обязанности входит разработка и поддержка встроенного ПО, работа с аппаратными платформами и обеспечение надежности систем. Кандидат должен обладать глубокими знаниями в области встроенного программирования, опытом работы с соответствующими технологиями и инструментами, а также умением решать сложные технические задачи. Требуется опыт разработки на языках программирования, применяемых в embedded-системах, и понимание архитектуры аппаратного обеспечения. Работа предполагает участие в проектировании, тестировании и оптимизации программных решений для поддержки инфраструктуры искусственного интеллекта.

Задачи: — Разрабатывать, документировать и выполнять комплексные тест-кейсы на основе функциональных и нефункциональных требований — Выполнять ручное тестирование веб-приложений (юзабилити, функциональность, производительность) — Выявлять, документировать и отслеживать дефекты ПО с помощью систем трекинга задач — Сотрудничать с разработчиками, сетевыми инженерами и менеджерами продуктов для определения и поддержания стандартов качества — Выполнять регрессионное и сквозное тестирование — Валидировать интеграции между системами, сервисами и телекоммуникационными сетевыми компонентами — Обеспечивать соответствие внутренним стандартам качества, телекоммуникационным регуляциям и отраслевым требованиям — Участвовать в планировании тестирования, оценке и сессиях ревью — Предоставлять четкую и действенную обратную связь, способствовать непрерывному улучшению процессов Требования: — Опыт работы в QA / тестировании ПО не менее 3 лет — Обязателен опыт работы в телекоммуникационной отрасли — Глубокое понимание методологий, принципов и лучших практик тестирования ПО — Знание REST API и WebSocket сервисов — Хорошее понимание сетевых протоколов TCP/IP, HTTP, HTTPS — Знакомство с системами контроля версий (Git) — Опыт работы с CI/CD пайплайнами и концепциями — Умение писать четкую и подробную тестовую документацию (тест-планы, тест-кейсы, баг-репорты) — Сильные аналитические и проблемно-решающие навыки — Отличные коммуникативные и коллаборационные способности Технические навыки: — Инструменты тестирования API: Postman, Swagger или аналогичные — Инструменты QA / трекинга задач: GitLab, Jira или аналогичные — Тестирование баз данных: SQL — Инструменты веб-разработки: Browser DevOps и сопутствующие инструменты отладки Будет плюсом: — Понимание технологий Deep Packet Inspection (DPI) — Практический опыт с телекоммуникационными протоколами RADIUS, Diameter — Опыт работы с инструментами мониторинга и логирования Grafana, Kibana, ELK Stack, Splunk — Знакомство с телеком-стандартами и нормативными рамками Условия: — Конкурентная зарплата и пакет льгот — Возможность работать с комплексными телекоммуникационными системами уровня оператора — Культура сотрудничества и развития в инженерной команде — Поддержка профессионального развития и сертификаций

Обязанности: • Проектирование, документирование и выполнение комплексных тест-кейсов на основе функциональных и нефункциональных требований • Проведение ручного тестирования веб-приложений (юзабилити, функциональность, производительность) • Идентификация, документирование и отслеживание дефектов в инструментах баг-трекинга • Взаимодействие с разработчиками, сетевыми инженерами и менеджерами по продукту для поддержания стандартов качества • Выполнение регрессионного и сквозного тестирования • Проверка интеграций между системами, сервисами и телеком-компонентами • Контроль соблюдения внутренних стандартов качества и отраслевых требований • Участие в планировании, оценке и обзорах тестов • Предоставление обратной связи и участие в улучшении процессов Требования: • 3+ года опыта в области QA/тестирования ПО • Обязателен опыт работы в телеком-индустрии • Знание методов, принципов и практик тестирования ПО • Знание REST API и WebSocket • Понимание сетевых протоколов (TCP/IP, HTTP, HTTPS) • Опыт работы с системами контроля версий (Git) • Навыки работы с CI/CD • Способность писать понятную тестовую документацию • Аналитические и коммуникативные навыки Будет преимуществом: • Знание технологий Deep Packet Inspection (DPI) • Опыт с телеком-протоколами (RADIUS, Diameter) • Навыки работы с инструментами мониторинга и логирования (Grafana, Kibana, ELK, Splunk) • Знакомство с отраслевыми стандартами и регуляторами телеком Условия: • Зарплата от $1500, потолок обсуждается (стартап) • Оформление по фулл-тайму • Удалённая работа • Возможности профессионального развития • Современная инженерная культура и поддержка сертификации

Задачи: • Разрабатывать и валидировать модели машинного обучения, тренировочные пайплайны, системы инференса и поддерживающую инфраструктуру. • Реализовывать компоненты моделей, пайплайны данных, системы оценки и численные методы. • Строить воспроизводимые программные рабочие процессы с использованием Python и командных инструментов. Требования: • Магистерская степень или PhD в области компьютерных наук, машинного обучения, искусственного интеллекта, прикладной математики, статистики, инженерии или близкой количественной дисциплины. • Сильный профессиональный или исследовательский опыт в машинном обучении. • Практическое владение Python и кодирующими агентами. • Опыт работы в технологической компании, AI-лаборатории, исследовательской организации или другом признанном инженерном окружении приветствуется. • Исключительный опыт в open-source или академической сфере также может быть квалификацией. Условия: • Полностью удалённая работа. • Контрактный формат занятости. • Гибкий график — кандидат сам выбирает часы и дни работы, включая выходные. • Оплата сдельная, от $80 до $150 в час, до 15 часов в неделю. • Выплаты через Stripe или Wise без назначения платежа, аналогично UpWork. • Область проекта: искусственный интеллект. Процесс отбора: • Откликнуться и пройти скрининговые вопросы. • Пройти AI-интервью около 30 минут. • Пройти ревью менеджера по найму. Сроки начала: • Роли обычно закрываются в течение 48 часов. • Ожидается начало выполнения первой задачи в течение 24–48 часов после онбординга. Описание роли: Работа связана с разработкой, обучением и инференсом моделей машинного обучения, оптимизацией производительности и численными вычислениями. Требуется решение сложных инженерных задач, включая реализацию и модификацию моделей, построение воспроизводимых рабочих процессов, оптимизацию памяти и пропускной способности, отладку численных и системных ошибок, а также проверку корректности и производительности реализации.

Требования: — Владение английским языком на уровне C1+ (родной уровень) в устной и письменной речи — Минимум 1 год профессионального опыта в разработке — Хорошее знание современных языков программирования и фреймворков, например JavaScript/TypeScript, Python, Java или C# — Опыт работы с системой контроля версий Git и методологиями agile — Хорошие коммуникативные навыки и умение работать в команде — Готовность и надежность для удаленной работы — Опыт использования AI-инструментов для программирования, таких как Claude Code, Cursor, Codex, GitHub Copilot или аналогичные Задачи: — Разработка, тестирование и поддержка качественных программных решений — Взаимодействие с международной командой — Участие в код-ревью и постоянном улучшении процессов разработки Условия: — Зарплата от 1500 до 3000 USD в месяц, в зависимости от опыта и проекта с клиентами