Обязанности Написание и поддержка автотестов на Java. Проведение ручного, интеграционного и регрессионного тестирования.
Загружаем…
Загружаем…
Компании и подписки · Нет нужной компании? Предложите её →
Загружаем вакансии…
Обязанности Написание и поддержка автотестов на Java. Проведение ручного, интеграционного и регрессионного тестирования.
• Поддерживать Linux, Kubernetes и сервисы в нескольких площадках и окружениях. • Обеспечивать доступность тракта ASIC → Miner Agent / gateway / Stratum → upstream.
• Собирать, уточнять и согласовывать бизнес- и функциональные требования. • Анализировать и моделировать бизнес-процессы, описывать логику работы web- и мобильных приложений.
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Настроить подборПродукт: высоконагруженная рекламная сеть TrafficStars с 10+ лет на международном рынке, регистрирующая свыше 7 млрд событий в сутки в кластере ClickHouse 3,6 петабайт, более 500 серверов в дата-центрах Европы и США, обрабатывающая более 1 млн запросов в секунду в пиковые часы. Роль: работа в продуктовой команде разработки, ответственность за доставку от коммита до продакшена и наблюдаемости сервисов команды. Взаимодействие с инфраструктурной командой, которая отвечает за кластеры баз данных и хранилищ. Задачи: — Тесное взаимодействие и поддержка продуктовой команды разработки, участие в планировании, работа напрямую с разработчиками; — Создание и поддержка helm-charts, kustomize и GitLab CI/CD pipelines; — Создание и эксплуатация различных окружений от тестирования до продакшена; — Настройка мониторинга, алертинга и логирования для сервисов команды; — Обеспечение стабильной работы сервисов в сотрудничестве с инфраструктурной командой; — Обнаружение потенциальных проблем и участие в создании решений по их устранению; — Поиск, тестирование и внедрение новых решений для оптимизации процессов и повышения качества услуг. Требования: — Уверенное понимание принципов работы Kubernetes; — Уверенный Linux; — Опыт работы с Git, GitLab, GitLab CI; — Опыт работы с Prometheus stack; — Опыт работы с ELK/EFK; — Опыт работы с брокерами сообщений (Kafka); — Знание любого скриптового языка программирования; — Опыт работы бок о бок с разработчиками, а не через очередь тикетов; — Готовность быстро погружаться в незнакомые сервисы и технологии. Будет плюсом: — Опыт работы с ClickHouse, PostgreSQL, Redis, Aerospike на уровне уверенного пользователя; — Опыт работы в продуктовой или платформенной команде на highload-проекте. Условия: — Отсутствие дресс-кода и бюрократии; — Рабочий ноутбук на выбор: Mac или PC; — Покупка билетов до Кипра за счёт компании; — Помощь с переездом семьи из любого региона; — Рабочая виза для сотрудника и гостевая виза для членов семьи; — Предоставление жилья на первый месяц; — Медицинская страховка и мобильная связь; — Бесплатные обеды и напитки; — Всегда полные корзины фруктов и вкусняшек в офисе; — Бесплатные курсы английского и греческого языков; — Оплата занятий спортом; — Частичная оплата школ и детских садов.
Создание и развитие доменных направлений новой платформы influence/performance-маркетинга. Опыт коммерческой бэкенд-разработки от трёх лет.
Задачи: — Развитие и поддержка IT-инфраструктуры в высоконагруженном гео распределенном проекте — Обеспечение бесперебойной работы инфраструктуры и сервисов — Сопровождение bare-metal кластеров Kubernetes — Сопровождение кластеров ClickHouse, Kafka, PostgreSQL, Aerospike — Автоматизация процессов — Обнаружение потенциальных проблем и участие в создании решения по их устранению — Поиск, тестирование и внедрение новых решений, помогающих оптимизировать текущие процессы и повысить качество предоставляемых услуг Требования: — Опыт администрирования Linux серверов — Опыт администрирования Kubernetes — Опыт администрирования ClickHouse, PostgreSQL, Redis — Опыт работы с брокерами сообщений (Kafka) — Понимание принципов Infrastructure as Code (IaC) — Опыт работы с Prometheus stack — Опыт работы с ELK/EFK — Опыт работы с Aerospike (будет плюсом) — Опыт использования GitLab CI (будет плюсом) — Опыт автоматизации с помощью Ansible (будет плюсом) — Владение любым языком программирования или скриптовым языком (Python, Bash, Go и др.) (будет плюсом) Условия: — Полная занятость (full-time) — Отсутствие дресс-кода и бюрократии — Рабочий ноутбук на выбор: Mac или PC — Покупка билетов до Кипра за счёт компании — Помощь с переездом семьи из любого региона — Рабочая виза для сотрудника и гостевая виза для членов семьи — Предоставление жилья на первый месяц — Медицинская страховка и мобильная связь — Бесплатные обеды и напитки — Всегда полные корзины фруктов и всяких вкусняшек в офисе — Бесплатные курсы английского и греческого языков — Оплата занятий спортом — Частичная оплата школ и детских садов
Location: Remote - Worldwide Workplace: onsite Coinspaid Dev is the engineering brand behind the technology, infrastructure, and R&D expertise built within Coinspaid. With more than 120 engineersand over 11 years of industry experience, Coinspaid Dev brings together software engineering, infrastructure, security and R&D teams with experience building distributed systems and blockchain infrastructure operating across more than 20 blockchain networks. Coinspaid Dev emerges as an independent engineering brand with a straightforward mission: to advance blockchain infrastructure engineering and contribute practical expertise back to the industry. The structure is new. The experience behind it is not. Position Description: We are looking for a Principal QA Engineer to take ownership of a company-wide QA system and lead its continued development. You will dive into the current processes, leadership model, automation and tooling direction, quality controls, and improvement roadmap; challenge existing approaches where needed, and drive the next stage of maturity across engineering domains. We need a senior technical leader who sees Quality Engineering as an engineering system, connects business and technical risks with practical changes in the SDLC, test architecture, automation, environments, release quality, and metrics, and turns systemic problems into measurable and sustainable improvements. This is a senior individual contributor role working primarily through QA Technical Leads and Senior QA Engineers and partnering with Engineering Managers, Product, Architecture, and DevOps/SRE, while remaining hands-on in high-impact reviews, pilots, and critical investigations. Responsibilities: Take ownership of the company-wide Quality Engineering strategy, operating model, and improvement roadmap; continue evolving them as products, risks, and organizational needs change. Assess Quality Engineering maturity across domains, identify systemic bottlenecks and inconsistencies, and prioritize the improvements with the highest company-wide impact. Define and evolve cross-domain standards and guardrails for test architecture, coverage, quality evidence, testability, observability, release readiness, and production validation. Drive continuous improvement of the end-to-end QA process and embed shift-left practices, quality controls, and risk-based gates across the SDLC together with Product, Engineering, Architecture, and DevOps/SRE. Own the strategic direction of the QA toolchain and automation architecture, and validate key technical decisions hands-on through code, prototypes, and architecture reviews across UI and backend automation. Python is preferred, while Go, Node.js, or another suitable stack is also relevant. Continuously benchmark market practices and emerging technologies, including AI; validate ideas through experiments and turn successful findings into company-wide transformation initiatives such as framework modernization, contract and performance testing, smarter test selection, and cloud-native test environments. Actively use AI in daily engineering work and advance its adoption across QA. Define scalable release-quality principles and provide technical recommendations for systemic, cross-team, or ambiguous quality risks. Lead cross-team investigations and root-cause analysis for critical incidents, unstable environments, systemic automation failures, and quality problems without a clear owner. Establish meaningful quality metrics and make trends, risks, technical debt, and improvement outcomes visible to engineering leadership. Develop QA Technical Leads as domain-level technical owners, strengthening their ability to translate company-wide direction into sustainable practices and decisions within their domains. Influence, align stakeholders, and translate business, regulatory, and operational risks into clear engineering priorities. Requirements: 8+ years in Quality Assurance / Quality Engineering, including technical leadership across multiple teams or domains. Experience defining QA strategy, standards, or large-scale transformations with measurable results. Deep knowledge of Quality practices risk-based testing, coverage strategy, shift-left, quality gates, testability, release readiness, and production quality signals. Strong hands-on programming experience and the ability to design and contribute to scalable UI and backend automation. Python is preferred, but strong experience with Go, Node.js, or another relevant stack is welcome. Strong experience with distributed backend systems, REST APIs, event-driven workflows, third-party integrations Experience with CI/CD, Docker/Kubernetes, cloud-native or GitOps environments, and observability tools. Ability to define useful quality metrics, communicate technical risk, and influence senior stakeholders A research-driven mindset, practical experience evaluating new technologies, and confident, responsible, and active use of AI tools in everyday engineering work. Good spoken and written English and Russian. Nice to have: Experience in fintech, crypto, payments, compliance, financial operations, or another regulated domain with complex integrations and high operational risk. Experience with Kafka, MQ, Debezium, ledger-like systems, eventual consistency, and event-driven architecture. Experience with contract, performance, load, resilience, or reliability testing. Why join CryptoProcessing by Coinspaid You’ll be joining a company that is actively shaping its space – with enough scale to matter and enough room to make an impact. At Coinspaid, people are expected to think, contribute, and take ownership – and are supported in doing so. We focus on flexibility, wellbeing, and long-term growth – without overcomplicating how benefits work. Flexible Benefits Benefit Bar – up to €230/monthA flexible monthly budget you can use for what matters most to you – from sports and mental health to coworking, home office, or medical-related expenses. Work & Flexibility Fully remote work from almost anywhere Optional offices and relocation support Flexible, async-friendly environment Growth & Learning Budget for courses, certifications, and professional development Language learning support Cross-team learning and knowledge sharing Wellbeing & Support Medical insurance or reimbursement depending on location Access to mental health support Financial support for important life events Extras Merch shop with rewards system Team offsites and company events Sounds good? Well then, we can’t wait to see your resume! To learn more please visit: https://coinspaid.com/about-us/ & https://coinspaid.com/careers/
Опыт разработки на Rust. Опыт разработки backend-сервисов.
• Хорошее владение SQL и PL/SQL.
-Коммерческий опыт разработки на Golang от 5 лет.
• 6+ лет программирования на Java (Java Core + multithreading).
Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. We're looking for a Sr. Data Analyst, Compliance to join our team remotely! The primary goal of this role is to elevate decision-making by uncovering emerging trends and root causes, and by driving insights and actions that provide full visibility into business performance and operational efficiency. Beyond technical expertise, success in this role depends on being a true business partner who combines data-driven insights with strategic thinking to deliver actionable recommendations, guide decision-making, and drive measurable impact across the organization. In this role, you'll own end-to-end data management, from building and maintaining datasets and pipelines to designing dashboards and delivering insights for the Compliance team. A core part of this role is owning the logic and rule-setting behind transaction monitoring across deposits and withdrawals. You'll also contribute to experimentation infrastructure, laying the groundwork for future ML and intelligence initiatives. THE OPPORTUNITY - Own the logic and rule-setting behind transaction monitoring across deposits and withdrawals, partnering closely with Compliance to study patterns and refine detection logic - Translate compliance requirements into production detection logic, preserving correctness across alert eligibility, thresholds, customer segmentation, date windows, and deduplication - Develop and maintain Python and SQL pipelines for transaction data preparation, feature engineering, and detection workflows - Evaluate detection rules and analytical models across coverage, alert quality, threshold sensitivity, and the impact of proposed changes - Design reproducible evaluations on historical data that account for limited labels, class imbalance, and shifts in customer behaviour over time - Own testing, deployment, scheduling, monitoring, and operational support for detection workflows, including investigating data quality issues, pipeline failures, and unexpected changes in detection results - Execute historical backfills with clear validation and traceability, and maintain reliable downstream alert delivery and integrations with compliance systems - Be at the forefront of data innovation by experimenting, testing hypotheses, and translating insights into action, while incorporating software engineering best practices into pipelines and dashboards. WHAT YOU BRING - 7+ years of experience in data analysis, data science, and data management within the fintech, crypto, financial services, or gambling industry, gained in a fast-paced, high-growth environment - Experience working with compliance, fraud, funding, finance, and customer support teams and analyzing large datasets, engineering features, and applying statistical methods to practical business problems - Strong Python and SQL skills, with experience building and supporting production data or analytical systems - Hands-on experience using dbt or similar tooling to model and organize high-fidelity data for reporting and decision-making - Experience setting up and managing data pipelines with a strong understanding of workflow orchestration, plus strong software engineering practices including version control, automated testing, code review, and CI/CD - Solid statistical foundation; ML exposure is a strong plus - Proficiency with BI and data visualization tools (e.g., Hex, Tableau, Power BI, or similar) to build executive-facing dashboards - Ability to investigate production issues independently and communicate technical findings and uncertainty to non-technical stakeholders - You believe wholeheartedly in the values outlined in Kraken's Tentaclements document - A degree in a field emphasizing analytical rigor, such as analytics, software engineering, statistics, or economics - Based in Canada, the US, or Brazil, and fluent in English NICE TO HAVES - Fraud detection, AML, anomaly detection, or other risk applications - Experience with Athena, Trino, Kafka, and Kubernetes alongside the core Airflow/dbt/S3 stack - Transaction pattern analysis, customer segmentation, and detection threshold tuning - Developing or productionising machine learning models, including experiment tracking and performance monitoring - Working with sparse or delayed feedback from investigations to evaluate and improve detection - Explainability, auditability, and change control in regulated environments Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Location: Canada; Brazil Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. We're looking for a Sr. Data Analyst, Compliance to join our team remotely! The primary goal of this role is to elevate decision-making by uncovering emerging trends and root causes, and by driving insights and actions that provide full visibility into business performance and operational efficiency. Beyond technical expertise, success in this role depends on being a true business partner who combines data-driven insights with strategic thinking to deliver actionable recommendations, guide decision-making, and drive measurable impact across the organization. In this role, you'll own end-to-end data management, from building and maintaining datasets and pipelines to designing dashboards and delivering insights for the Compliance team. A core part of this role is owning the logic and rule-setting behind transaction monitoring across deposits and withdrawals. You'll also contribute to experimentation infrastructure, laying the groundwork for future ML and intelligence initiatives. THE OPPORTUNITY - Own the logic and rule-setting behind transaction monitoring across deposits and withdrawals, partnering closely with Compliance to study patterns and refine detection logic - Translate compliance requirements into production detection logic, preserving correctness across alert eligibility, thresholds, customer segmentation, date windows, and deduplication - Develop and maintain Python and SQL pipelines for transaction data preparation, feature engineering, and detection workflows - Evaluate detection rules and analytical models across coverage, alert quality, threshold sensitivity, and the impact of proposed changes - Design reproducible evaluations on historical data that account for limited labels, class imbalance, and shifts in customer behaviour over time - Own testing, deployment, scheduling, monitoring, and operational support for detection workflows, including investigating data quality issues, pipeline failures, and unexpected changes in detection results - Execute historical backfills with clear validation and traceability, and maintain reliable downstream alert delivery and integrations with compliance systems - Be at the forefront of data innovation by experimenting, testing hypotheses, and translating insights into action, while incorporating software engineering best practices into pipelines and dashboards. WHAT YOU BRING - 7+ years of experience in data analysis, data science, and data management within the fintech, crypto, financial services, or gambling industry, gained in a fast-paced, high-growth environment - Experience working with compliance, fraud, funding, finance, and customer support teams and analyzing large datasets, engineering features, and applying statistical methods to practical business problems - Strong Python and SQL skills, with experience building and supporting production data or analytical systems - Hands-on experience using dbt or similar tooling to model and organize high-fidelity data for reporting and decision-making - Experience setting up and managing data pipelines with a strong understanding of workflow orchestration, plus strong software engineering practices including version control, automated testing, code review, and CI/CD - Solid statistical foundation; ML exposure is a strong plus - Proficiency with BI and data visualization tools (e.g., Hex, Tableau, Power BI, or similar) to build executive-facing dashboards - Ability to investigate production issues independently and communicate technical findings and uncertainty to non-technical stakeholders - You believe wholeheartedly in the values outlined in Kraken's Tentaclements document - A degree in a field emphasizing analytical rigor, such as analytics, software engineering, statistics, or economics - Based in Canada, the US, or Brazil, and fluent in English NICE TO HAVES - Fraud detection, AML, anomaly detection, or other risk applications - Experience with Athena, Trino, Kafka, and Kubernetes alongside the core Airflow/dbt/S3 stack - Transaction pattern analysis, customer segmentation, and detection threshold tuning - Developing or productionising machine learning models, including experiment tracking and performance monitoring - Working with sparse or delayed feedback from investigations to evaluate and improve detection - Explainability, auditability, and change control in regulated environments Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Alpaca is looking for a Senior Fullstack Engineer Auth Team to develop and operate authentication authorization and identity-provider services.
Carta is looking for a Senior Software Engineer II Investors to lead complex technical projects and improve scalable software systems.
Уверенное знание Python (ООП, typing, итераторы, генераторы, управление памятью). Опыт асинхронного и конкурентного программирования, разработки надежных сервисов на FastAPI, TDD, мониторинга и аудита.
Задачи: — ручное и автоматизированное тестирование web и mobile, включая API и интеграции. Требования: — Опыт автоматизации тестирования на Java. — Опыт mobile- и web-тестирования. — Опыт работы с базами данных. — Опыт работы с Kafka. — Опыт работы с CI/CD. — Опыт работы с Rest API. — Опыт работы на высоконагруженных проектах. Условия: — Трудоустройство в аккредитованную ИТ-компанию. — Вилка до 320К р. на руки. — Оформление по ИП или ТК РФ. — Полная удалёнка. — ДМС с первого дня со стоматологией. — Предоставление техники при необходимости.
🛠️ Задачи: ручное и автоматизированное тестирование. - Опыт ручного тестирования от 4 лет.