Вакансии

Задачи: — Анализировать поведение распределённых систем и сетевых взаимодействий — Моделировать реальные инфраструктурные сценарии и воспроизводить сложные кейсы — Исследовать нестабильное поведение системы (логи, трафик, системные метрики) — Работать с дефектами: от обнаружения до поиска root cause — Взаимодействовать с разработчиками и DevOps-инженерами — Разворачивать и настраивать тестовые и инфраструктурные среды — Использовать Docker для изоляции и воспроизводимости окружений — Автоматизировать процессы и сценарии на Python programming language — Интегрировать проверки и сценарии в CI/CD pipelines Требования: Linux: — Уверенная работа в Linux (CLI, процессы, файловая система) — Понимание сетевого стека Linux — Опыт диагностики (tcpdump, Wireshark, ss и др.) — iptables / nftables — bash scripting Networking: — Глубокое понимание TCP/IP — OSI, маршрутизация, NAT, VPN — Понимание передачи данных и сетевых сценариев Automation / DevOps: — Знание Python programming language — Опыт работы с CI/CD pipelines — Практический опыт с Docker Плюсом будет: — Zabbix, Nginx, OpenSSL — VMware / виртуализация — Опыт построения тестовых или стендовых инфраструктур Условия: — Удалёнка или офис в центре Новосибирска — Гибкий график — ДМС — Белая зарплата — Рост в сторону DevOps / Infrastructure Engineer (обучения за счет компании, ученический договор)

Задачи: — Поддержка команды разработки на стеке laravel / java; — Поддержка и автоматизация ИТ-инфраструктуры; — Построение и оптимизацию процессов сборки и деплоя; — Реакция и разбор инцидентов. Требования: — Опыт от 5 лет с ОС Linux, в идеале ubuntu / debian; — Опыт с gitlab ci/cd; — Управление конфигурациями с ansible; — Управление контейнерами: docker / kubernetes; — Мониторинг: victoria / prometheus stack; — Опыт работы с Infrastructure as Code; — Опыт с базами данных postgresql, clickhouse; — Умение писать понятную документацию. Будет плюсом: — Понимание разработчиков на laravel / java; — Готовность к дежурствам; — Опыт работы с proxmox, terraform, kafka, redis. Условия: — Официальное трудоустройство по ТК РФ; — Гибкий формат работы: возможность удалённо из любой точки страны, офис в Москве рядом с м. Технопарк; — Расширенная программа ДМС со стоматологией; — Линия психологической поддержки; — Врач в офисе и массажные кресла для сотрудников в Москве; — Бесплатные посещения фитнес-клуба А-sport на ст. м. Технопарк; — Корпоративная программа профессионального обучения совместно с Альфа Групп; — Возможность участия в профильных конференциях; — Онлайн-библиотека; — Карьерное развитие и программа наставничества; — Кафетерий льгот через 6 месяцев; — Корпоративные мероприятия и тимбилдинги; — Подарки к праздникам и материальная помощь по особым случаям; — 3 дня 100% оплачиваемых day off в году.

Задачи: — Проектировать и внедрять масштабируемые, надежные и безопасные инфраструктурные решения с использованием современных практик DevOps. — Поддерживать и оптимизировать производственные и девелоперские среды для обеспечения стабильности, масштабируемости и эффективности. — Внедрять и управлять оркестрацией приложений с помощью Kubernetes. — Создавать и поддерживать системы мониторинга с Prometheus и Grafana, а также управлять лог-системами с VictoriaMetrics и VictoriaLogs. — Устранять и решать инциденты в продакшене, участвовать в дежурствах для обеспечения круглосуточной доступности и надежности сервиса. — Управлять базами данных PostgreSQL, ClickHouse, MongoDB и Redis. — Вносить улучшения в инфраструктурные рабочие процессы и поддерживать приложения на PHP, NodeJs, Golang. Требования: — Минимум 5 лет коммерческого опыта в роли DevOps инженера. — Владение английским языком на уровне B2 и свободное владение русским. — Продвинутые навыки скриптинга на Bash и Python. — Опыт работы с контейнерами Kubernetes и Docker. — Опыт поддержки приложений на PHP, NodeJs, Golang. — Знания DigitalOcean будут плюсом. — Опыт работы с GitLab CI/CD. — Владение Terraform. — Опыт работы с GitOps. — Знания Jenkins CI/CD и Helm. — Знакомство с Hashicorp Vault и Ansible. — Опыт мониторинга с Loki и Jaeger. — Сильные навыки решения проблем, коммуникации и опыт работы по Agile/Scrum. Условия: — Полностью удаленная работа. — Конкурентный компенсационный пакет, соответствующий навыкам и опыту. — Прозрачная система грейдов для отслеживания прогресса и роста в компании. — 21 рабочий день оплачиваемого отпуска в год. — 7 оплачиваемых больничных в год без необходимости предоставления справки. — Инклюзивная и адаптивная корпоративная культура.

Задачи: — Разрабатывать и поддерживать автоматизированные тесты на C# для backend и frontend/UI. — Проводить функциональное, интеграционное и регрессионное тестирование программных продуктов. — Тестировать REST API и backend-сервисы, проверять корректность взаимодействия компонентов системы. — Проводить тестирование интеграций и микросервисного взаимодействия, включая работу с Kafka и другими системами обмена данными. — Разрабатывать, поддерживать и перерабатывать существующие BDD- и автоматизированные тесты, повышая стабильность и покрытие автотестами. — Выполнять анализ результатов тестирования, выявлять, локализовывать и документировать дефекты, взаимодействовать с разработчиками и другими участниками команды для их устранения. — Участвовать в совершенствовании процессов тестирования и автоматизации, включая интеграцию автотестов в CI/CD и работу с тестовой инфраструктурой Docker или Kubernetes. Требования: — Опыт работы в тестировании ПО в роли QA или QA Automation от 3 лет. — Практический опыт разработки автоматизированных тестов на C#. — Опыт ручного и автоматизированного тестирования — понимание и применение обоих подходов в работе. — Практический опыт тестирования REST API и backend-сервисов. — Опыт интеграционного тестирования и понимание принципов взаимодействия компонентов клиент-серверных систем. — Уверенное владение SQL для работы с базами данных и проверки результатов тестирования. — Понимание клиент-серверной архитектуры и принципов работы современных backend-систем. — Опыт тестирования frontend/UI и готовность при необходимости поддерживать автоматизацию UI-тестов. — Опыт работы с микросервисной архитектурой будет преимуществом. — Знание SOAP, Kafka, CI/CD, Docker и Kubernetes будет преимуществом, но не является обязательным условием для всех проектов. — Опыт работы с BDD и существующими фреймворками автоматизации будет преимуществом. — Готовность работать с различным соотношением manual и automation в зависимости от задач конкретной команды. Условия: — ЗП плюс квартальный бонус, готовы обсуждать индивидуально — Удаленка, но нужно быть на территории РФ (обязательное условие), если хочешь офис и оборудование, без проблем можно выбрать и такой вариант — Гибкий график, мы не стоим над душой — Оформление официальное — ДМС со стоматологией

Задачи: — Создавать, поддерживать и оптимизировать инфраструктуру для действующих и разрабатываемых приложений; — Администрировать серверную Linux-инфраструктуру (Astra Linux, AltLinux); — Администрировать ПО Kubernetes, Docker, Ansible/Puppet; — Администрировать СУБД и систему хранения данных PostgreSQL, ScyllaDB и т.д.; — Автоматизировать и поддерживать процессы сборки и доставки приложений; — Мониторить работу, анализировать производительность и повышать стабильность работы инфраструктуры; — Решать возникающие проблемы в работе сервисов и в процессе разработки; — Внедрять новые решения и модернизировать существующую ИТ-инфраструктуру; — Участвовать в разработке релизных политик и стратегий развития процесса DevOps, выстраивание процессов CI/CD. Требования: — Опыт на позиции DevOps-инженера не менее 2 лет; — Опыт администрирования Linux (Astra, AltLinux); — Опыт работы с СУБД (PostgreSQL, ScyllaDB и др.), опыт построения кластерных решений; — Экспертные знания по Kubernetes и внутреннему устройству кластера; — Опыт работы с NGINX/Angie, Haproxy и k8s ingress; — Умение автоматизировать Ansible/Bash, Python; — Опыт работы с системами мониторинга Zabbix, Prometheus, Grafana; — Опыт с helm, Gitlab, Vault, Jenkins, Nexus, Jira, Tomcat; — Опыт работы с брокером сообщений (Kafka, JMS); — Понимание принципов работы протоколов DHCP, DNS, LDAP, SNMP, Syslog; — Базовые знания сетевых технологий; — Опыт работы c ArgoCD для реализации парадигмы GitOps. Условия: — Опыт работы в аккредитованной IT-компании над социально значимыми уникальными проектами; — Официальное трудоустройство с первого рабочего дня; — Гибридный формат работы для локаций с офисами (3 дня в офисе, 2 дня удалённо), для остальных локаций - удалённо; — Стабильный доход и квартальные премии; — Компенсация 9 видов расходов: от КАСКО до путевок на отдых; — Интересная программа внутреннего и внешнего обучения; — Сильная команда талантливых специалистов; — Прозрачные условия для развития и карьерного роста; — ДМС со стоматологией и международной страховкой.

Задачи: — Выполнение функциональных обязанностей в рамках Scrum и Less методологий; — Разработка и поддержка тестовой документации в актуальном состоянии; — Проведение функционального, регрессионного, интеграционного и системного тестирования; — Подготовка тестовых данных для демонстраций и сдачи релизов; — Проведение оценки тестового покрытия и поиск зон риска; — Активная работа с требованиями, их уточнение и участие в планировании спринтов; — Проведение peer-review тестовой документации коллег; — Участие в обсуждении релизов и контроле качества на всех этапах разработки. Требования: — Опыт работы в тестировании от 5 лет; — Глубокое понимание принципов построения сетей и передачи сетевых протоколов; — Коммерческий опыт работы с брокерами сообщений (Kafka или RabbitMQ); — Уверенное владение SQL и опыт работы с БД (PostgreSQL); — Отличное знание концепций STLC и SDLC, владение техниками тест-дизайна; — Понимание принципов работы REST, SOAP и опыт тестирования API (Postman, SoapUI, Insomnia или аналоги); — Опыт работы с баг-трекинговыми системами (Jira, Trello, YouTrack); — Умение работать с требованиями в Confluence и создавать на их основе четкие тестовые сценарии; — Опыт работы с платформами управления тестированием (Zephyr, TestIT и т.п.); — Базовые знания и понимание принципов CI/CD; — Проактивная позиция и желание не просто проверять, а предлагать решения; — Аналитический склад ума, системное мышление и способность рассматривать вопросы в целом. Будет плюсом: — Опыт автоматизации тестирования на Python; — Навыки работы с инструментами типа Kcat (Kafka Cat); — Практика работы в Kubernetes и Lens; — Опыт тестирования микросервисов с синхронными (HTTP/WS) и асинхронными вызовами; — Опыт работы с СУБД ClickHouse; — Навыки работы с Docker и Docker-compose. Условия: — Удаленная работа или гибридный формат в зависимости от локации; — Гибкое начало и конец рабочего дня при синхронизации с командой; — Индивидуальный план развития с возможностью освоения новых технологий (включая автоматизацию и работу с AI); — Насыщенную корпоративную жизнь: онлайн- и офлайн-квизы, выездные корпоративы, спортивные мероприятия, творческие тимбилдинги, тематические вечеринки и многое другое; — Оплату участия в профильных онлайн-конференциях (HighLoad++, Podlodka, Mobius и др.); — Компенсацию расходов на покупку профессиональной литературы; — Доступ к курсам нашей объединенной IT-школы GIGASCHOOL.

Location: United States Mattermost is the leading collaborative workflow platform for defense, intelligence, security, and critical infrastructure. Trusted by the U.S. Department of War and Fortune 500s, our platform runs on-premises and in private clouds, delivering secure messaging, file sharing, workflow automation, audio/screenshare, and project management—all with full data and operational control. Mattermost powers high-stakes workflows across mission planning, real-time, real-world operations, DevSecOps, incident response, and cyber defense—enabling secure collaboration from tactical edge and DDIL environments to enterprise HQ. Teams operate across web, desktop, and mobile, with embedded interoperability for Microsoft Teams, Outlook, and Microsoft 365. To learn more, visit www.mattermost.com Mattermost is seeking a Senior Technical Account Manager (TAM) to serve as a trusted technical advisor to our U.S. Federal and enterprise customers . In this role, you will ensure the successful deployment, integration, and secure operation of the Mattermost platform in mission-critical and high-security environments . You will combine expertise in infrastructure, cybersecurity, and DevSecOps with strong customer engagement and project leadership skills. As a strategic partner, you will bridge engineering, product, and customer teams , driving secure, compliant, and scalable implementations that enable organizations to collaborate with confidence. An active U.S. government Secret or TS/SCI clearance is a significant advantage for this position. We also welcome technically strong candidates who meet the eligibility requirements to obtain a clearance. Key Responsibilities Own Technical Customer Success Serve as the primary technical advisor for strategic U.S. Federal and defense customers. Build trusted relationships with technical leaders, system administrators, security teams, and executive stakeholders. Drive successful onboarding, adoption, platform optimization, and long-term customer value. Develop technical success plans aligned with customer missions, operational requirements, and business objectives. Solve Complex Technical Challenges Guide customers through deployments, upgrades, integrations, and troubleshooting across on-premises, cloud, hybrid, and air-gapped environments. Work hands-on with Linux infrastructure, networking, containers, authentication systems, and deployment configurations. Troubleshoot complex technical issues, partnering with Engineering and Support to drive resolution. Help customers improve platform reliability, security, performance, and scalability. Bring a Forward-Deployed Engineering Mindset Work directly with customers, including on-site engagements when needed, to understand and address complex operational requirements. Translate customer challenges into practical technical solutions, configurations, integrations, or automation. Develop reusable scripts, technical playbooks, and deployment best practices. Operate independently in complex environments while collaborating closely with internal technical teams. Bring field insights and customer requirements back to Product and Engineering to influence platform improvements. Drive Adoption and Customer Value Identify opportunities to expand Mattermost adoption across teams, workflows, and mission-critical use cases. Conduct technical reviews, health assessments, and proactive optimization sessions. Help customers maximize their investment through platform integrations, workflow automation, and operational best practices. Required Qualifications Experience in a technical customer-facing role such as Technical Account Manager, Solutions Engineer, Customer Engineer, Technical Consultant, Support Engineer, or Forward Deployed Engineer. Strong hands-on technical experience with Linux, networking, infrastructure troubleshooting, and enterprise software deployments. Familiarity with containers, cloud infrastructure, or modern application deployment environments. Ability to diagnose complex technical problems and collaborate across teams to deliver solutions. Strong communication skills, including the ability to explain technical concepts to both engineering teams and business stakeholders. Experience supporting enterprise, government, defense, or other complex customer environments. A proactive, customer-focused mindset with a strong sense of ownership and accountability. Eligibility to obtain and maintain a U.S. government security clearance, along with the ability to meet applicable U.S. export-control requirements. What Will Set You Apart Security Clearance and Federal Experience Active Secret, Top Secret, or TS/SCI clearance — highly desirable and a significant advantage. Experience supporting DoD, Intelligence Community, federal civilian agencies, or defense contractors. Familiarity with secure or regulated environments, including FedRAMP, NIST 800-53, STIGs, and government security requirements. Forward-Deployed and Technical Engineering Experience Experience working directly within customer environments to deploy, integrate, troubleshoot, or customize technical solutions. Hands-on experience with Docker, Kubernetes, CI/CD pipelines, and infrastructure automation. Scripting or development experience using Python, Go, Bash, or similar languages. Experience supporting disconnected, degraded, intermittent, or limited-bandwidth (DDIL) environments. Experience integrating enterprise identity, monitoring, security, or DevSecOps systems. Familiarity with mobile device management technologies such as Intune or Workspace ONE. Why Join Mattermost? Mission-critical impact: Support organizations operating in some of the world's most demanding security environments. Technical ownership: Go beyond reactive support to influence customer architectures, deployment strategies, and platform adoption. Direct engineering collaboration: Work closely with Product and Engineering to solve meaningful technical challenges. Growth opportunities: Expand your expertise in secure infrastructure, federal technology, and forward-deployed engineering practices. Remote-first flexibility: Work remotely in the United States, with opportunities for direct customer engagement and on-site collaboration. Target Salary Range: $125,000 - $165,000 USD plus commission Mattermost takes a market-based approach to pay and pay may vary depending on your location. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. Mattermost offers a remote-first work environment with medical, dental, and vision coverage. You’ll also receive unlimited PTO plus company holidays, a work from home stipend, an annual learning and development budget for conferences, certifications, and courses, paid parental leave for all parents, and a 401(k) plan. U.S. Eligibility & Compliance This role may require obtaining and maintaining a U.S. government security clearance. Candidates must meet federal eligibility requirements to be considered. For more information visit Security Clearances — United States Department of State Applicants must meet eligibility requirements for access to export-controlled information as defined by U.S. export control laws, including EAR and ITAR. For more information visit the Bureau of Industry and Security and the Directorate of Defense Trade Controls . Mattermost is an EEO Employer, we are a remote-first, open-source company. We are continually working to expand our hiring in more countries and regions, ensuring compliance with local laws and regulations, which takes time. Mattermost values your unique perspective—we welcome all applicants. We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications. We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics. If you require accommodations during the interview process, please let us know—we’re happy to assist.

Location: United Kingdom Workplace: Remote Coder is looking for an Enterprise Account Manager to grow our diverse customer base. You’ll help bring Coder’s platform to some of the largest companies in the world, who are focused on executing AI-centric software development at scale. This role is about building trusted relationships, shaping deals, and making sure enterprise customers clearly see the value we deliver. Day to day, you will manage the full sales cycle, from sourcing opportunities to closing contracts. You’ll work side by side with engineers, buyers, and internal partners to remove friction and move complex deals forward.   What you’ll do here - Build and close a strong pipeline of enterprise accounts with large engineering organizations - Generate qualified opportunities through outbound prospecting and inbound leads - Lead compelling demos that differentiate Coder, and communicate our value with clarity and conviction - Collaborate with Sales Engineers to deliver a thorough technical evaluation - Partner with decision-makers and technical stakeholders throughout the sales cycle - Travel as needed to support deals and customer relationships What we’re looking for - 5+ years in software sales with a strong prospecting background (ideally Developer, Agent, DevSecOps, or Cloud Native Computing Foundation (CNCF) technologies) - 3+ years selling into Fortune 500 companies - Experience engaging with software engineering leaders and technical decision-makers - Understanding of DevOps, CI/CD, platform engineering, and developer tools - Experience with GenAI & Agentic development tools (Cursor, Claude, Windsurf, Goose, Copilot, etc) - Comfortable with outbound motion and partnering with Sales Engineers - Track record of exceeding quota and pipeline goals - Strong communication skills - written, verbal, and in presentations - Familiarity with different sales cycles (startup, midsize, enterprise) - Creative, analytical, and highly self-motivated - Ability to travel up to 15% Bonus tacos if you have - A technical background or meaningful experience with open source software - Curiosity about emerging AI workflows, developer tools, and general tech trends About Coder Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com.   Interview process We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.   AI use during the interview process As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.   Coder is a proud Equal Opportunity Employer We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws. ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: Hong Kong Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Hong Kong Type: Full Time Internship (June 1, 2027 - August 31, 2027) The Role The Core Technology team builds the systems that allow Nex Playground to use cameras, microphones, and other sensors to understand player movement and interactions in real time. As our Software Engineer Intern (Engineering, Core Technology) , you will work across the technology stack behind these experiences. You may build real-time software that runs on Nex Playground, create internal tools for preparing and reviewing datasets, improve camera and hardware integrations, or automate how we train, evaluate, optimize, and deploy machine learning models. You will collaborate with software engineers, ML researchers, and game teams to investigate real-world problems and turn new ideas into reliable technologies that can be used in games. You will receive hands-on mentorship while owning meaningful work that contributes to our products and engineering capabilities. What You Will Do Build real-time software for motion tracking, cameras, audio, and ML inference. Develop tools that help engineers prepare datasets and train, evaluate, optimize, and deploy ML models. Improve reliability and developer experience through visualization, debugging, performance analysis, and automated testing. Collaborate with engineers and researchers to bring experimental technologies into games. Should Have Must be currently enrolled in an undergraduate or graduate degree program at an accredited college or university. Solid foundation in software development and computer science fundamentals. Programming experience in any language. Strong problem-solving and debugging skills. Strong communication and collaboration skills. Curiosity about real-time systems, machine learning systems, cameras, sensors, or hardware. Excited to learn and work across different parts of the technology stack. Nice To Have Experience with C++, C#, or Java. Interested in computer vision, ML inference, cameras, audio, or embedded systems. Interested in building developer tools, web or desktop applications, or data workflows. Interested in profiling, automated testing, CI/CD, or DevOps practices. Enthusiastic about games, interactive physical experiences, and helping people be active and healthy. We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Location: Hong Kong Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Hong Kong Type: Full Time Internship (June 1, 2027 - August 31, 2027) The Role Help build the technology behind Nex Playground—where games, computer vision, consumer hardware, and cloud services come together to get families moving. The Platform Software Engineering (PSWE) team owns the core platform powering every Playground experience. As a Platform Software Engineer Intern, you’ll own a meaningful project, make real technical decisions, and ship software with visible impact. A dedicated mentor and engineers across the Nex team will support you from design through launch. What You'll Build Your project will match your strengths and interests while solving a real team need. You may: Ship a new capability for PlayOS, Play Services, or the cloud platform. Build an API, service, developer tool, or delivery automation used by other teams. Improve performance and reliability using testing, logs, metrics, and telemetry. Debug problems across device, network, backend, and cloud boundaries. Take your work from idea to launch: design, build, test, document, and measure it. Should Have Must be currently enrolled in an undergraduate or graduate degree program at an accredited college or university. Pursuing a degree in Computer Science, Computer Engineering, Software Engineering, or a related field. Fluency in Cantonese is required. Strong programming fundamentals, problem-solving skills, and a learning mindset. Experience with at least one language or runtime such as Kotlin/Java, C/C++, Go, Python, TypeScript/Node.js. Clear communication, collaboration, and care for software quality. Nice To Have Experience with Android, Linux, embedded systems, or device software. Familiarity with backend services, APIs, databases, distributed systems, or Google Cloud Platform. Exposure to CI/CD, containers, release automation, monitoring, testing, or performance optimization. Genuine interest in building platform software that connects devices, cloud services, and player experiences. Curiosity about one or more of these areas: Android or embedded systems, backend and distributed systems, developer infrastructure, games, or technology that helps people be active together. Enthusiasm for learning across technical boundaries and understanding how a feature works end to end. Why You’ll Love This Internship Real Ownership: Ship a production-ready project—not a throwaway intern exercise. Dedicated Mentorship: Learn through regular 1:1s, design reviews, debugging, and code feedback. Broad Exposure: See how device software, cloud services, infrastructure, privacy, and security work together. Future Opportunity: High-performing interns may be considered for a full-time role at Nex. We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Location: New York, New York, United States Artificial Intelligence Engineer - Vice President Department: Software Engineering About the Role iCapital is seeking a Vice President Artificial Intelligence Engineer to lead the design, development, and delivery of production-grade AI systems that drive measurable business outcomes across the firm. This individual will own key workstreams and serve as a technical leader, driving system design, mentoring engineers, partnering directly with business stakeholders, and ensuring that AI capabilities are built to production-grade standards of reliability, scalability, and measurability. The ideal candidate is a seasoned engineer with a track record of shipping complex AI systems end-to-end and someone who combines deep technical expertise with strong cross-functional partnership, architectural judgment, and able to operate as a force multiplier for the team. This role is expected to bring independent judgment on a technical approach, a bias toward delivery, and able to translate ambiguous business needs into well-scoped, well-executed solutions. Responsibilities Lead the architecture and delivery of production AI systems, including document intelligence (IDP), intelligent knowledge systems, agentic orchestration, conversational AI, and generative AI applications, to power internal and external business processes, digital experiences, and workflow automation at scale. Own AI projects end-to-end, from problem scoping and stakeholder alignment through solution design, implementation, deployment, monitoring, and continuous improvement, delivering tangible business outcomes with a track record of consistent, high-quality delivery. Drive technical design and architectural decisions for the team, including API design, system decomposition, evaluation strategy, and infrastructure patterns, establishing standards that raise the quality bar across the AI/ML platform. Architect and champion robust evaluation frameworks for AI systems, defining statistically sound, problem-specific metrics, curating benchmark datasets, and enforcing strict versioning to ensure reproducibility and continuous improvement. Partner directly with cross-functional stakeholders, including the Product, Operations, Legal, and Business teams, to identify AI opportunities, translate requirements into technical plans, and communicate tradeoffs, risks, and recommendations clearly. Mentor and develop engineers on the team through code review, design review, pair problem-solving, and knowledge sharing, acting as a technical role model and raising the overall capability of the group. Identify systemic problems and propose solutions, proactively improving team processes, tooling, and infrastructure to reduce technical debt and increase development velocity. Qualifications 7+ years of experience developing and deploying production AI/ML systems, including cloud-native solutions on AWS or similar platforms, with a proven track record of delivering complex applications from design through production Strong proficiency in Python and software engineering best practices, including source control, CI/CD, testing, documentation, and the development of scalable, maintainable software Deep expertise building production AI solutions, including LLM applications, AI agents, retrieval-augmented generation (RAG), conversational AI, document intelligence, and agentic workflows, with hands-on experience using modern AI frameworks, tooling, and protocols such as MCP and A2A Experience designing, deploying, and operating end-to-end machine learning pipelines, including model training, deployment, monitoring, evaluation, and continuous improvement in production environments Strong foundation in statistics, experimentation, data quality, and AI system evaluation, with experience developing benchmarks, defining performance metrics, analyzing errors, and optimizing systems for accuracy, reliability, scalability, cost, and latency Experience leading technical design and architectural decisions, conducting code and design reviews, mentoring engineers, and driving engineering excellence across teams Excellent written and verbal communication skills, with the ability to document technical solutions, collaborate with cross-functional stakeholders, and communicate complex concepts to both technical and non-technical audiences Experience spanning multiple AI domains, including LLM systems, document intelligence, and ML platforms or infrastructure Experience in financial services or FinTech, particularly within document-heavy, regulated, or compliance-sensitive environments is preferred Contributions to open-source projects, technical publications, conference presentations, patents, or other demonstrated thought leadership in applied AI and machine learning is preferred Benefits The base salary range for this role is $170,000 to $210,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Задачи: — Стриминг и обработка исходных данных с мейнфрейм и устаревших систем, загрузка в AWS S3. — Проектирование и реализация ETL/ELT процессов с использованием AWS Glue. — Проведение сверки данных, проверок качества и валидации для обеспечения точности и надежности данных. — Кураторство и трансформация данных, предоставление чистых наборов данных через AWS Aurora и RDS (PostgreSQL). — Управление хранилищем S3, включая политики хранения данных, стратегии архивирования и управление жизненным циклом. — Автоматизация рабочих процессов и управление деплойментом с помощью GitHub и CI/CD на базе GitHub Actions. — Использование AI-инструментов для повышения продуктивности инженерии и автоматизации рабочих процессов с данными. Требования: — Опыт работы в Data Engineering не менее 5 лет, создание и доставка конвейеров данных, ETL/ELT процессов или платформенных решений. — Практический опыт работы с AWS Glue для проектирования и реализации ETL/ELT процессов. — Глубокие знания AWS сервисов: S3, RDS/Aurora, Glue. — Опыт построения и поддержки потоковых конвейеров данных с использованием Kafka. — Опыт реализации сверки данных, проверок качества и процессов валидации. — Владение управлением репозиториями GitHub и автоматизацией CI/CD с помощью GitHub Actions. — Опыт использования AI-инструментов для автоматизации рабочих процессов и повышения продуктивности. — Способность самостоятельно брать ответственность за результаты и доводить задачи до завершения с минимальным контролем. — Опыт работы с данными мейнфрейм или интеграции с устаревшими системами будет плюсом. — Знакомство с MongoDB или другими NoSQL базами данных будет плюсом. Условия: — Оплата $65 в час на основе W2. — Полностью удаленная работа.

Location: Barcelona, Spain; Madrid, Spain About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Workato is looking for an Engineering Manager to lead the ChatBots and AI team within our Platform organization. This is a high-ownership role for someone who thrives in ambiguity: you turn unclear requirements into clear execution plans, make confident decisions with incomplete information, and keep both the team and leadership aligned. The team is fully remote and international - you'll build the processes and culture that make it work at pace. About the Team The ChatBots and AI team's mission is to deliver AI agents to end users. We own the runtime and integration layer - conversation storage, API design, streaming, and integrations with external interfaces like Slack and other applications. The team is made up of Senior and Staff engineers working in Ruby/Rails and Go on a modern stack: PostgreSQL, Kafka, Redis, Kubernetes, and AWS. You'll collaborate with dedicated QA, SRE, and UX/UI teams, as well as engineering teams across the broader organization. Workato has a strong cross-functional culture - your team won't work in isolation. What You'll Do Delivery Partner with Product Managers and stakeholders to scope projects, set timelines, and define what success looks like Plan and track execution across quarters and sprints; deliver on schedule without compromising quality Identify blockers early, resolve them decisively, and escalate when escalation is the right call Balance feature work against internal investments - AI-SDLC, CI/CD, platform upgrades, and technical debt Team Manage, mentor, and grow a team of Senior and Staff engineers Own hiring, onboarding, and performance management Design team processes that fit a distributed, asynchronous environment - and evolve them as the team and company change Apply AI tooling to how the team works, not just what it builds Technical Ownership Participate in architecture and design decisions as a technical peer to your engineers Make trade-off calls on scope, approach, and sequencing - and be accountable for them Understand the system deeply enough to allocate the team's capacity where it matters most Communication Keep leadership informed on progress, risks, and blockers with clarity and without spin Build working relationships with peer leads across engineering and product Represent your team's priorities and constraints in cross-team planning What We're Looking For 5+ years managing engineering teams, including Senior and Staff-level individual contributors Senior engineer-level technical depth - you can read the code, challenge a design, and hold your own in an architecture discussion Hands-on background in backend engineering; experience with Ruby, Go, or comparable languages and distributed systems Demonstrated ability to operate under ambiguity: defining direction where none exists, and committing to decisions before all the information is available Track record of shipping complex software on schedule in a fast-moving environment Experience managing a fully remote, distributed team across multiple time zones Strong written communication - in an async environment, writing is the primary management tool Nice to Have Experience building AI-powered products - agents, LLM pipelines, or orchestration systems Background in platform, integration, or developer-facing infrastructure Experience scaling a team through periods of rapid growth Familiarity with enterprise SaaS or automation platforms (REQ ID: 2941)

Location: San Francisco, CA, USA About the role Chime’s Machine Learning Platform (MLP) team builds and operates the infrastructure, tooling, and developer experience that powers machine learning across the company. We enable data scientists and ML engineers to develop, train, deploy, and monitor models reliably and efficiently. As a Senior Software Engineer on the Machine Learning Platform team, you will design and build scalable systems spanning traditional machine learning and emerging AI workloads, including model training, feature computation, real-time inference, foundation-model access, evaluation, and agentic orchestration. You’ll work at the intersection of distributed systems, cloud infrastructure, applied machine learning, and AI product engineering. This role focuses on creating secure, reliable, and reusable platform capabilities that help teams choose the right approach, from conventional predictive models to LLM-powered and multi-step agentic systems, while maintaining strong standards for evaluation, observability, governance, privacy, and cost efficiency. In this role, you can expect to Design, build, and operate scalable ML and AI infrastructure on AWS. Design and operate shared platform capabilities for LLM and agentic workloads, including model access, prompt and configuration lifecycle, retrieval, tool integration, state management, and workflow orchestration. Build evaluation frameworks for non-deterministic AI systems, including offline benchmarks, regression testing, online quality signals, human feedback, and failure analysis. Establish observability, reliability, and governance for models and agents, covering traces, model and prompt versions, tool calls, latency, token usage, quality, safety, privacy, and cost. Help teams make principled architecture decisions across traditional ML, LLM-powered applications, and agentic workflows, and contribute to the platform’s technical roadmap. Build distributed training, batch inference, and large-scale processing systems using frameworks such as Ray or Spark. Build and maintain infrastructure as code using Terraform. Support and evolve the feature store and feature pipelines. Develop data ingestion and streaming systems using technologies such as Kinesis, Kafka, Flink, or Spark. Improve CI/CD workflows for ML models, AI applications, and platform components. Partner closely with Data Science and ML Engineering teams to improve developer experience. Participate in on-call rotations to support production systems. To thrive in this role, you have Knowledge of the machine learning development lifecycle, including data preprocessing, model training, evaluation, deployment, and monitoring. Experience designing distributed systems and large-scale data or compute platforms on AWS using frameworks such as Spark or Ray. 5+ years of experience in ML or AI infrastructure, platform engineering, distributed systems, or production ML systems. Working knowledge of LLM application patterns such as retrieval-augmented generation, structured outputs, tool calling, agent orchestration, and evaluation of non-deterministic systems. Experience designing production systems that integrate ML or foundation models through reliable APIs, workflows, and data contracts. Hands-on experience with CI/CD pipelines, DevOps practices, and infrastructure as code. Experience with containerization and orchestration technologies such as Docker and Kubernetes. Strong programming skills in Python, Go, Scala, Java, or similar languages. Solid understanding of software engineering fundamentals, including testing, version control, code review, and observability. Nice-to-have Experience shipping LLM-powered or agentic systems to production. Experience with one or more of the following: model gateways, prompt lifecycle management, retrieval or vector search, tool execution, and agent orchestration frameworks. Experience building evaluation, tracing, and observability capabilities for non-deterministic AI systems. Familiarity with managed or self-hosted foundation model infrastructure, such as Amazon Bedrock, SageMaker, or equivalent platforms. Experience operating GPU-based workloads and optimizing training or inference performance and cost; CUDA experience is a plus. #LI-Onsite #LI-WW1 Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wage Notice $187,000 — $259,000 USD A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? *Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees. ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life. 🏝 Generous vacation policy and company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to family planning reimbursement 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com . To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice .

Задачи: — администрировать и сопровождать систему IDM — разрабатывать и выстраивать архитектуру интеграции IDM-системы с корпоративными системами банка — разрабатывать коннекторы для подключения корпоративных систем банка к IDM — формализовывать требования к интеграции корпоративных информационных систем банка с IDM-системой — анализировать проблемы и исправлять ошибки в работе — взаимодействовать с интеграторами и формировать запросы на изменение и развитие IDM-системы — автоматизировать процессы управления доступом к информационным системам и ресурсам Требования: — опыт построения CI/CD пайплайнов для поставки артефактов IDM (коннекторов, правил, конфигураций) с использованием GitLab CI / Jenkins / GitHub Actions — умение автоматизировать инфраструктуру как код (IaC): Terraform, Ansible (или аналоги) для поддержки стендов разработки, тестирования и productive-сред IDM — опыт внедрения мониторинга, логирования и алертинга для IDM-компонентов (Prometheus + Grafana, ELK/OpenSearch, Loki) — знание инструментов управления секретами и конфиденциальными данными (Hashicorp Vault, AWS Secrets Manager) — умение настраивать резервное копирование, восстановление и отказоустойчивость IDM-решений (DRP, кластеризация, репликация каталогов) — практика работы с Git и системами хранения артефактов (Nexus, Artifactory) для версионирования коннекторов и скриптов

Компания МТС Банк ищет старшего Java/Kotlin разработчика для работы в Москве. Компания развивает технологичные банковские сервисы и финтех-продукты для B2B и B2C, в том числе масштабное Insurtech-направление МТС Страхование, создающее страховые продукты, встроенные в клиентский путь на цифровых витринах компаний экосистемы. Стек и подход: Backend: Java 21, Kotlin, Spring (Boot, Cloud, Data), Micronaut (будет плюсом). Базы данных: PostgreSQL, работа с большими данными. Асинхронная коммуникация: Apache Kafka. Инфраструктура: современные cloud-решения (K8s, Docker), CI/CD (GitLab CI/Jenkins). Методологии: Agile (Scrum/Kanban), акцент на качестве кода и данных. Задачи: — Разрабатывать server-side приложения на Java/Kotlin. — Участвовать в поиске, анализе и выработке архитектурных решений. — Проводить code-review для постоянного совершенствования. — Участвовать в развитии технических и технологических процессов в команде и компании. — Общаться с архитекторами, аналитиками, тестировщиками, другими разработчиками. — Писать SQL-запросы. — Покрывать новый функционал unit- и интеграционными тестами. — Взаимодействовать с заказчиками и аналитиками в процессе проектирования и реализации задач. Требования: — Опыт разработки на Java от 3 лет или на Kotlin от 2 лет. — Хорошее знание Java SE (Collections, Concurrency, JMM, GC). — Понимание сути паттерна MVC, опыт работы со Spring. — Хорошее знание SQL. — Умение обращаться с терминалом Linux. — Опыт реализации сервисов в рамках микросервисной архитектуры. — Понимание внутреннего устройства Spring Framework. — Опыт участия в принятии архитектурных паттернов и решений. — Опыт участия в разборе инцидентов. Будет преимуществом: — Опыт работы с Kafka. — Опыт работы с Micronaut. — Понимание работы корутин.

Компания ООО «Блокчейн Хаб» (часть экосистемы МТС) разрабатывает финтех-продукты на базе блокчейн-технологий и ищет QA-инженера по нагрузочному тестированию в кросс-функциональную команду разработки платформы ЦФА Хаб. ЦФА Хаб — платформа для выпуска и обращения цифровых финансовых активов, объединяющая эмитентов и инвесторов. В 2023 году компания включена Банком России в реестр операторов цифровых финансовых активов. Технологический стек проекта включает микросервисную архитектуру, микрофронтенды, C#, .NET/.NET Core (4.7.1-8.0), Web API, EF, OAuth2.0, RabbitMQ, MassTransit (saga state machine, routing slips), REST API, MSSQL, PostgreSQL, React, blockchain (geth, besu, ipfs). Задачи: — Анализировать производительность и управлять уровнем качества в части нагрузки для крупной системы с ядром на базе blockchain. — Поддерживать и создавать новые нагрузочные тесты для JMeter. — Проводить полный цикл нагрузочного тестирования. — Подготавливать отчеты о проведенном нагрузочном тестировании. — Проводить анализ узких мест и оценку масштабируемости системы, формировать рекомендации для увеличения производительности. — Анализировать инциденты на production-контуре, связанные с деградацией производительности, и готовить заключения. — Управлять, поддерживать и развивать инструменты нагрузочного тестирования, интегрировать их в CI. — Взаимодействовать и координировать работу с разработчиками, аналитиками и DevOps. Требования: — Опыт в нагрузочном тестировании высоконагруженных систем более 3 лет. — Уверенное знание JMeter. — Практический опыт написания скриптов нагрузочного тестирования (JMeter, k6). — Опыт работы с инструментами CI/CD (GitLab, Jenkins, GoCD и др.). — Опыт работы со средствами мониторинга (Grafana, Zabbix, Prometheus, InfluxDB, ELK и др.). — Практический опыт написания скриптов на JavaScript, Python, Bash для генерации данных и пост-аналитики. — Уверенное понимание метрик нагрузочного тестирования. — Опыт работы с базами данных PostgreSQL (чтение pg_stat_statements, понимание Top-N запросов, план запроса на уровне узких мест) и MSSQL. — Хорошее знание SQL. — Понимание архитектуры клиент-серверных приложений. — Понимание микросервисной архитектуры. — Понимание жизненного цикла разработки ПО. Будет плюсом: — Опыт работы со средствами нагрузочного тестирования Yandex.Tank, k6, Locust, Gatling. — Опыт выстраивания процесса нагрузочного тестирования с нуля. — Опыт продвинутой диагностики: профилирование приложений, анализ Thread/Heap дампов, трассировка (Zipkin, Jaeger, Signoz и др.). — Владение инструментами анализа производительности Linux (top, iotop, htop, dstat, netstat, perf и др.) и Windows (PerfMon, ResMon, WPR, WPA, Event Viewer, PerfView). — Опыт с pgBouncer, connection pool, таймауты/лимиты на API-шлюзах. — Понимание предметной области цифровых финансовых активов. — Опыт работы в сфере финтех и/или с блокчейн-продуктами.

Требуется ведущий разработчик C# для работы в МТС Банке. Требования: — умение проектировать распределённые, высоконагруженные системы; — понимание SOA/EDA, микросервисной архитектуры, DDD; — технологический стек: C# dotnet 8-10, PostgreSQL, Redis, Kafka, CI/CD с использованием внутреннего GitLab (git, code-review, build pipelines), Artifactory (package management), Harbour (image registry); — умение использовать пакеты Confluent.Kafka, StackExchange.Redis, Npgsql, NUnit; — отличное понимание aspnet core, жизненного цикла HTTP запроса и соответствующих механик; — отличное понимание принципов SOLID и основных принципов ООП; — отличные навыки troubleshooting/debug; — желателен опыт работы в финтехе. Обязанности: — проводить code review; — участвовать в принятии архитектурных решений; — оценивать сложности задач и прогнозировать трудозатраты; — возможно снятие и разбор дампа процессов; — участвовать в проведении оптимизаций в коде и инфраструктуре.