Вакансии

Интегрировать ответственные команды в Discovery-процесс: определять точки подключения, зоны ответственности и формат взаимодействия; Выстраивать процессы взаимодействия команды аналитических сервисов и команды системных аналитиков с другими командами проекта;

Requirements: — Minimum 7 years of experience in the banking sector with deep expertise in AML / AFC, Financial Crime Risk Management, Transaction Monitoring. — Development of business rules and client risk assessment models. — Experience with Investigation Workflows, Business Analysis, Process Mining, Change Management. — Proficiency in SQL (complex queries and optimization on large data volumes), Python, ETL, Data Analysis. — Familiarity with Jira, Confluence, Agile methodologies (Scrum / Kanban / SAFe). — Ability to produce technical documentation and manage stakeholders. Advantages: — Knowledge of Bridger XG, Siron Suite, Compliance Lens, AML Analytics, Power BI, Tableau, AWS, Kafka, Kubernetes. Conditions: — Predominantly remote work format with paid business trips once a month to Baltic countries. — Fluent English required. — Only freelancers, outstaff, and recruiting companies are not considered.

• Опыт системного анализа IT-проектов от 3 лет. • Опыт описания бизнес-процессов в Confluence.

Location: Москва Workplace: Удаленная работа О компании CVM B2B - inhouse-инструмент кампейнинга, адаптированный под бизнес-процессы Телеком B2B, для развития процессов маркетинга, продаж и поддержки. И сейчас мы приглашаем к себе Ведущего (Senior) системного аналитика! Подразумеваем и уклон в Data (отдельные задачи по работе с хранилищами, API). Обязанности Анализировать бизнес-требования, генерировать идеи, прорабатывать технические решения и интеграционные взаимодействия; Создавать спецификации функциональных и системных требований (включая интеграционные интерфейсы) в соответствии бизнес‑требованиями; Участвовать в согласовании спецификаций внутри команды, а также с Заказчиком и аналитиками от смежных автоматизированных систем; Осуществлять экспресс-оценку (трудозатрат / сроков) задач в части системного анализа; Проектировать новые микросервисы и связи между ними; Участвовать в тестировании своих задач и разборах инцидентов по ним совместно с тестировщиком; Разрабатывать и поддерживать в актуальном состоянии техническую документацию по продукту; Участвовать в развитии внутренних бизнес процессов команды и продукта; Участвовать в разработке архитектуры продукта и концепций (мозговые штурмы совместно с архитекторами и лидерами команд). Требования Опыт работы на позиции системного аналитика в ИТ-компании или финансовой организации, в т.ч. опыт написания технических заданий – не менее 4-х лет; навыки формирования документов: функциональных/нефункциональных требований, спецификаций, технических заданий; знание особенностей построения распределенных систем, микросервисной архитектуры, особенностей использования контейнеризации; опыт использования различных языков и нотаций для моделирования процессов; понимание микросервисной архитектуры; опыт проектирования REST сервисов; навыки написания Open API спецификаций; Опыт работы в проектах, связанных с рекламными платформами (CPA-платформы, MyTarget, Яндекс.Директ, МТС Маркетолог) и/или CRM-системами B2B; Опыт работы в Agile (Scrum); Способность работать в неопределённом контексте, когда надо разобраться и предложить пути решений. Условия Собственную платформу MTS Ocean для получения ИТ-ресурсов, а это значит, что деплой, мониторинг, observability — не будут для тебя проблемой, ты сможешь сосредоточиться на фичах; Профессиональные гильдии инженеров, где мы поддерживаем друг друга и помогаем стать лучше; Внутреннюю площадку TechTalks для обмена опытом, дискуссий, развития навыков самопрезентации; Участие во внешних IT конференциях. Наши эксперты выступают на ведущих профильных конференциях, таких как HighLoad++, DevOps Conf, Joker, AHA!, Матемаркетинг и другие. А еще мы организуем собственную масштабную конференцию True Tech Day и регулярно проводим митапы для разработчиков и инженеров; Полезные курсы и вебинары в корпоративном университете и электронную библиотеку; ДМС с первого месяца работы, включая стоматологию; Страхование от несчастных случаев с 1 месяца работы. Материальную помощь в сложных жизненных ситуациях; Отпуск 28 календарных дней (+3 дополнительных дня за ненормированный рабочий день); Прием врачей общей практики и массаж в офисе; Мобильная связь за счет компании и льготные тарифы для близких; Подписка на онлайн-кинотеатр KION, сервис МТС Музыка, книжный сервис Строки от МТС, безлимитные мессенджеры и соцсети.

Location: Москва Workplace: Удаленная работа О компании Copilot - продукт, помогающий архитекторам находить информацию по ландшафту компании: диаграммы, манифесты + можно проводить анализ трейд-офф и архитектурные решения. Copilot формирует и контекст решения, риски и варианты решения. И сейчас мы приглашаем к себе Стажера бизнес/системного аналитика! Обязанности Дорабатывать текущий Copilot продуктового архитектора; Проектировать новые AI-фичи; Осуществлять сбор и формализацию требований: проводить интервью со стейкхолдерами, выявлять неявные требования, проводить приоритезацию; Подготавливать артефакты: ТЗ, спецификации, user stories/use cases, acceptance criteria; Валидировать и дорабатывать результаты AI; Создавать шаблоны промптов и чек‑листов качества для команды; Поддерживать внедрение: участвовать в демо, помогать команде в интерпретации требований, уточнять спорные места. Требования Студенты 3-4 курса бакалавриата, специалитета или 1-2 курса магистратуры, имеющие олимпиадные и/или иные достижения + студенты и выпускники образовательных программ МВС; Понимание работы копайлотов/агентов; Умение структурировать требования; Опыт моделирование и визуализации: диаграммы (UML/BPMN/ER), схемы потоков данных, прототипы экранов (Miro/Figma); Опыт работы с AI‑ассистентами: формулирование промптов для генерации черновиков требований, диаграмм, тестов; Знакомство с Agile (Scrum/Kanban), понимание Waterfall для регуляторных проектов - по необходимости; Плюсом будет: опыт формулирования промптов, валидации результатов, понимание ограничений LLM и инструментов: Jira/Confluence, Miro, Figma (базово), Postman/Swagger; Технические навыки: SQL (базовый), понимание REST/gRPC, JSON/XML, базовые знания баз данных и интеграций. Условия График работы 40 часов в неделю; Развитие в командах профессионалов и опытный наставник, готовый делиться опытом; Мобильная связь за счет компании; Подписка на онлайн-кинотеатр KION, сервис МТС Музыка, книжный сервис Строки от МТС, безлимитные мессенджеры и соцсети; Специальные предложения от партнеров и скидки от продуктов экосистемы МТС; Непрерывное развитие — доступ к курсам и вебинарам корпоративного университета и онлайн-библиотеке.

– Базовое понимание системной аналитики. – Навыки описания требований.

Location: Brazil; Portugal SUMMARY: As a Data / ML Engineer, you’ll combine hands-on data analysis, data engineering and applied data science to build and improve production ML solutions. You’ll work closely with Product Owners to understand what they want to learn or improve, explore the data and propose experiments. You’ll also collaborate with Data Scientists and Engineers to build and maintain the pipelines that support these solutions in production. WHAT WILL YOU BE DOING: Analyse data to answer product questions. Explore datasets, identify trends and anomalies, and communicate findings that help Product Owners make decisions. Work with Product Owners to shape experiments. Clarify requirements, translate product questions into testable hypotheses, suggest experiments and help define how to measure success and interpret results. Build and maintain end-to-end ML pipelines. Cover ETL, feature engineering, model training, deployment, batch scoring, API-based inference and monitoring. Work with our data and ML stack. Use AWS SageMaker, AWS Glue, AWS Lambda, MLflow, Spark and Airflow, with Great Expectations for data quality where appropriate. Collaborate with Data Scientists and Engineers. Improve how models are developed, deployed and operated in production. Work in an Agile Scrum environment and apply practices such as TDD and DDD where appropriate. WHAT WE ARE LOOKING FOR: Hands-on experience across data engineering and applied data science, with the ability to move between exploratory analysis, experimentation and production pipeline development. Strong data analysis skills, including the ability to investigate datasets, interpret findings and explain what they mean for product decisions. Experience working directly with Product Owners to understand requirements, propose experiments and define success metrics. Strong experience building end-to-end production ML pipelines, covering ETL, feature engineering, model training, deployment, serving and monitoring. Proficiency with AWS SageMaker, AWS Glue and AWS Lambda, plus hands-on experience with MLflow, Spark and Airflow. Clear communication and effective collaboration with Product Owners, Data Scientists and Engineers. AWESOME BUT NOT REQUIRED: Experience with Google Vertex AI. Familiarity with the Great Expectations Framework for data quality. Proven experience working in Agile Scrum environments and practising TDD and DDD. WHAT’S IN IT FOR YOU? Be part of our collegial environment where responsibility and authority are shared equally amongst colleagues and help create our company culture A culture in which we don’t criticise failure but ensure we learn from our mistakes An Agile environment where your ideas are welcome The possibility to grow and experience different projects Ongoing Training & Mentoring The possibility to travel - ATTENTION! THIS POSITION IS FOR PORTUGAL OR BRAZIL BASED ONLY

Задачи: — Построение сквозного конвейера разработки, объединяющего три ключевых направления: 1С, Битрикс24 и цифровые продукты. — Ответственность за технологический суверенитет и развитие департамента. Требования: — Опыт работы на позиции директора. — Знание и опыт работы с 1С:Предприятие, Битрикс24, Agile, Scrum, Kanban, CI/CD. Условия: — Откликаться на вакансию через Runello-бот.

Location: Portugal; Brazil SUMMARY: We’re looking for a Senior Salesforce Developer to join TXP on a client project and take a hands-on role in developing and improving a complex Salesforce estate. A key part of the work will be designing, building and deploying Salesforce Agentforce agents that support real business processes. The client runs two Salesforce orgs covering Sales Cloud and FinancialForce (Certinia), with finance processes spanning the sales ledger and general ledger. The contact centre also uses Service Cloud, which is largely supported by an external development partner. You’ll be one of the key Salesforce technical specialists in a small internal team. You’ll write and review code, work directly with business stakeholders, and have the autonomy to challenge requirements and recommend how to deliver them. WHAT WILL YOU BE DOING: As part of an agile software development team, you will: Design, build, test and deploy Salesforce solutions using Apex, Lightning Web Components (LWC), SOQL and Salesforce APIs. Lead hands-on Agentforce development, from identifying suitable use cases and configuring agents through to testing and deployment. Enhance Sales Cloud and build or maintain integrations across Salesforce, FinancialForce and other enterprise systems. Work with stakeholders to understand the business problem and decide when to use Apex, Salesforce Flow or other native platform capabilities. Review the existing estate and identify improvements to performance, scalability and maintainability. Maintain good standards for testing, security, source control, deployment and technical documentation. Collaborate with internal Salesforce colleagues and external development partners. WHAT WE ARE LOOKING FOR: Strong commercial experience as a Salesforce Developer, with the ability to take ownership of development work in a small team. Hands-on experience building solutions with Apex and LWC, plus solid knowledge of SOQL, Salesforce APIs and integration patterns. Strong Sales Cloud experience and experience working in complex or multi-org Salesforce environments. Practical experience designing and implementing integrations between Salesforce and other systems. A strong understanding of Salesforce security, data modelling and automation, including Salesforce Flow. Experience with modern Salesforce development and deployment practices, including Salesforce DX, Git and CI/CD. A degree in Computer Science, Engineering or a related discipline. Strong verbal and written communication skills in English YOUR AGENTFORCE EXPERIENCE: Hands-on Agentforce implementation is essential. We’re looking for someone who has personally designed, built and implemented Salesforce Agentforce agents for real business use cases, ideally through to production. You should be able to walk us through an agent you helped deliver, explain what you personally built, and describe how you tested and deployed it. We’d like to hear how you configured topics, actions, instructions and guardrails, and how the agent interacted with Salesforce data, automation, APIs or existing business processes. AWESOME BUT NOT REQUIRED: Experience with FinancialForce (Certinia), particularly in accounting or finance workflows. Experience integrating Salesforce with finance, ERP or general ledger systems. Service Cloud or contact centre experience. Salesforce Platform Developer I or II certification. WHAT’S IN IT FOR YOU? Be part of our collegial environment where responsibility and authority are shared equally amongst colleagues and help create our company culture. A culture in which we don’t criticise failure but ensure we learn from our mistakes An Agile environment where your ideas are welcome The possibility to grow and experience different projects Ongoing Training & Mentoring The possibility of travelling - ATTENTION! THIS POSITION IS FOR PORTUGAL OR BRAZIL-BASED ONLY

Location: Intellias Meet your recruiter Diana Meneses diana.meneses@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Python Engineer Senior Argentina, Chile, Colombia, Costa Rica, Mexico Remote APPLY NOW REFER A FRIEND We are looking for a Senior Python Backend Engineer who is passionate about applying modern AI-assisted software development practices to build secure, scalable healthcare platforms. Beyond strong backend engineering skills, we are looking for someone who actively leverages AI development tools, LLM-powered workflows, and automation to improve engineering productivity, code quality, and delivery speed. You will work on a modern healthcare interoperability platform while collaborating with an engineering team embracing AI-first development practices and cloud-native technologies. What project we have for you The platform enables secure access, exchange, and processing of clinical healthcare data across providers, healthcare organizations, and patients using modern interoperability standards including FHIR. The engineering team embraces AI-assisted software development, modern cloud-native architecture, and automation-first engineering practices. Engineers are encouraged to use AI tools to improve software quality, accelerate development, automate repetitive tasks, and increase engineering productivity. You will contribute to backend services powering healthcare interoperability while helping evolve the team’s AI-native engineering practices. What you will do Design, develop, and maintain scalable backend services using Python, FastAPI, and asynchronous programming principles. Build high-performance APIs and microservices that support secure healthcare data exchange and interoperability. Design, implement, and optimize MongoDB data models and persistence layers for high-volume production workloads. Develop integrations with healthcare systems, identity providers, cloud storage platforms, and external service providers. Implement secure authentication and authorization mechanisms using OAuth 2.0, OpenID Connect (OIDC), and JWT. Build and enhance backend services supporting healthcare interoperability standards, including FHIR-based integrations. Leverage AI-powered development tools and engineering assistants to accelerate software delivery while maintaining high standards of code quality, security, and maintainability. Collaborate with architects and engineering teams to identify opportunities for applying AI-assisted development practices and modern engineering workflows. Participate in technical design discussions, architecture reviews, and technology selection decisions. Write clean, well-tested, and maintainable code following modern software engineering best practices. Develop and maintain automated unit, integration, and end-to-end tests to ensure platform reliability. Troubleshoot complex production issues, perform root cause analysis, and implement sustainable solutions. Contribute to platform observability, monitoring, performance optimization, and operational excellence. Participate in code reviews, mentor fellow engineers, and promote engineering best practices across the team. Continuously evaluate emerging technologies, AI engineering tools, and modern development practices to improve engineering productivity and product quality. What you need for this Requirements: 5+ years of professional software engineering experience developing backend applications in production environments. Strong proficiency in Python (3.11/3.12+) and modern backend development practices. Hands-on experience building high-performance asynchronous applications using FastAPI and Python async/await. Solid understanding of RESTful API design, distributed systems, and microservice architecture. Experience working with MongoDB in production environments; familiarity with Beanie ODM or similar asynchronous ODM frameworks. Strong knowledge of authentication and authorization technologies, including OAuth 2.0, OpenID Connect (OIDC), JWT, and modern Identity Providers. Experience developing, debugging, and deploying containerized applications using Docker and Docker Compose. Strong understanding of software architecture, scalability, reliability, and performance optimization. Experience writing automated tests using Pytest and applying modern software quality practices. Familiarity with CI/CD pipelines and modern DevOps workflows. Strong analytical, troubleshooting, and debugging skills. Excellent communication skills and ability to collaborate effectively within cross-functional Agile teams. Proven experience using AI-assisted software development tools to improve engineering productivity, software quality, and development velocity. Hands-on experience with one or more AI coding assistants such as GitHub Copilot, Cursor, Claude Code, ChatGPT, Windsurf, or similar. Ability to effectively leverage Large Language Models (LLMs) for code generation, debugging, refactoring, documentation, test generation, and architectural exploration while maintaining high engineering standards. Experience reviewing, validating, and improving AI-generated code with strong engineering judgment. Experience developing healthcare interoperability solutions or working within Digital Health platforms. Knowledge of healthcare interoperability standards, including: HL7 FHIR R4 SMART Health Links (SHL) SMART Health Cards (SHC) Nice to have: Experience building secure clinical data exchange pipelines and healthcare integration workflows. Familiarity with JWE encryption/decryption mechanisms and secure healthcare data transmission. Experience with Model Context Protocol (MCP) and AI integration frameworks. Experience developing MCP servers or AI-enabled backend services. Experience integrating Large Language Models (LLMs) or AI services into enterprise applications. Knowledge of Retrieval-Augmented Generation (RAG), AI agents, or agentic application architectures. Experience integrating with external platforms and services, including: Google Drive Microsoft OneDrive Box SMTP services FHIR servers Familiarity with QR code and image decoding technologies (e.g., pyzbar, zbar). Experience with Playwright-based end-to-end testing frameworks. Knowledge of Cucumber/BDD methodologies. Experience with observability and monitoring technologies, including: OpenTelemetry Prometheus Experience working with event-driven architectures and Kafka. Experience with AWS cloud services, including AWS Secrets Manager. Exposure to TypeScript and React for occasional full-stack contributions. Experience working in regulated industries requiring strong security, privacy, and compliance practices (HIPAA, SOC 2, GDPR, or similar). Passion for adopting emerging AI engineering practices and continuously improving software development workflows. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills Python

Задачи: - Организация работы ИТ-команды до 12 человек, включая найм и мотивацию сотрудников. - Организация и контроль разработки нового функционала, включая процессы сбора требований, разработки, тестирования и внедрения. - Работа с backlog команды совместно с владельцем продукта, включение задач в backlog смежных команд, приоритизация и аргументация необходимости реализации задач. - Проектирование гибких, масштабируемых, высоконагруженных ИТ-решений на базе микросервисной архитектуры. - Формирование стандартов разработки. Требования: - Ответственность и самодисциплина. - Умение эффективно использовать своё время и время команды. - Понимание рабочей этики в общении с командой и заказчиком. - Опыт управления командой разработчиков от 1,5 лет. - Опыт разработки бэкенда для мобильных приложений. - Опыт практической разработки микросервисов. - Опыт проектирования высоконагруженных систем. - Знание технологий Java 11, Spring Framework и опыт их применения для разработки масштабных распределённых решений. - Опыт работы с Agile-практиками или в Agile-командах, включая работу с инструментами Jira и Confluence. - Будет плюсом знание основ функционала систем дистанционного банковского обслуживания, банковских продуктов и процессов. - Понимание контейнерных платформ Docker, Kubernetes/OpenShift. - Опыт управления кросс-функциональными командами. Условия: - Полная занятость. - График работы 5/2. - Формат работы удалённый.

Location: Москва Мы делаем амбициозный проект в офисе agile трансформации. Проект - часть системы трекера change-деятельности Банка. Предстоит работать с самым требовательным заказчиком - сотрудниками Банка. Обязанности ### Твои задачи: * проектировать, разрабатывать и реализовывать новые фичи * совместно с аналитиками и тестировщиками находить наилучшие решения * совместно с devops инженерами поддерживать стенды разработки в рабочем состоянии * решать интеграционные задачи * писать unit-тесты и проверять собственные решения. Требования ### Мы ожидаем, что у тебя есть: * опыт коммерческой разработки от 5 лет (Java11, Spring, SpringBoot) * опыт разработки веб-сервисов (REST, HTTP) * опыт написания и оптимизации SQL запросов (PostgreSQL) * понимание CI и его инструментов: Git, Jenkins * будет плюсом знания Openshift и Istio * опыт создания AI-агентов и использования их в работе будет преимуществом. Условия ### Работа в Сбере-это: * гибридный формат работы 2-3 дня в офисе * годовой бонус и ежегодный пересмотр * расширенный ДМС с первого дня + стоматологию и льготное страхование для семьи * корпоративный университет Сбера, внутреннюю образовательную платформу, участие в IT-конференциях * офис на Ленинском проспекте с зонами отдыха и спортзалом * льготную ипотеку в Сбере, корпоративную пенсионную программу, подписку СберПрайм с возможностью совместного использования на трёх близких, скидки от партнеров и сервисов группы компаний.

Location: Warsaw, Poland WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It's the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU? Metadata is a key component of the Box Intelligent Cloud, enabling customers to add additional context to their files and transforming them into actionable content. In the current iteration, it's used to organize, discover, annotate, secure, and retain content. Metadata Platform adoption continues to grow exponentially as more Box products, like Shield, Relay, Forms, Sign, Governance, etc, rely on it internally and as our customers continue to build custom applications leveraging it. But, we've only scratched the surface of what's possible. That's where you come in! As we embark on the mission to deliver a next-generation Metadata Platform, we're looking for a Software Engineer III to join us and play a pivotal role. You'll have the opportunity to work with a team of talented, collaborative, and fun engineers, solving some of the toughest challenges, as we build out the future of intelligent content management in the cloud. The work you do will have an immediate and lasting impact on the productivity of millions of users, at some of the most important enterprises of our time. WHAT YOU'LL DO Design and implement scalable services with a focus on reliability, observability, operability and efficiency. Collaborate with partner teams and domain architects on system design and services integration. Be heavily involved in defining the vision and assembling feature roadmaps. Work with cutting-edge technologies like Kubernetes, Docker, BigTable, and Istio. Strengthen engineering processes, principles, and culture within the team and across Box, by championing a culture of learning, continuous improvement, and blameless retrospection. Participate in our on-call rotation, available at all times while on-call to help respond to and triage any issues that arise. We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. WHO YOU ARE You have 4+ years of professional software development experience. Proficient in Java; familiarity with other scripting languages like Python, Scala or PHP is a plus. Proven ability to design, build, and deploy high-quality software. Strong knowledge of algorithms, data structures, software design principles, and object-oriented programming. Skilled in designing and developing APIs. Familiarity with NoSQL databases such as MongoDB preferred. Passionate about new technologies with the capability to implement them in existing products. Proficiency in spoken and written English. Nice to Haves: Experience working with message queues and/or streaming data systems like Kafka/PubSub. Experience with Google Cloud Platform (GCP), Amazon Web Service (AWS) or Azure. Experience deploying and operating microservices on Kubernetes. Percentage of Time Spent: 50% coding 20% documentation 20% bug fixes 10% meetings Methodology Agile management - Scrum Issue tracking tool - Jira Knowledge repository - Confluence Code reviews - GitHub Enterprise Version control system - GIT BENEFITS Check out the overview of Life at Box which include general perks and benefits. Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week. Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. For details on how we protect your information when you apply, please see our Personnel Privacy Notice . For more details on how Box Poland protects your information, please see our Supplemental Personnel and Candidate Privacy Notice . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . #LI-EMEA #LI -GW1 #LI-hybrid

-Проводить экспертизу разрабатываемых/существующих ИТ-систем на соответствие требованиям информационной безопасности. -Формировать требования информационной безопасности к новым и дорабатываемым информационным системам.

Location: Hong Kong Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. Your future role within QRT: QRT is expanding its global Network Operations capability to provide first-class 24/7 operational support for critical global network infrastructure and is seeking a Cloud SME within the Network SRE team. The successful candidate will act as the subject matter expert for cloud networking within the Cloud Network SRE team. In this role, you will bridge traditional network operations and advanced Site Reliability Engineering (SRE) practices for AWS network services and the wider hybrid network environment. You will be responsible for helping manage and maintain QRT’s cloud, on-prem and network automation platforms. QRT operates with an Infrastructure as Code (IaC) mindset, so you will be expected to demonstrate experience operating complex infrastructure at scale through automation, controlled releases and robust change governance. You will work closely with Network Engineering, Network Automation, Platform Engineering, Research, trading support and external vendor teams to drive continuous improvement, observability, self-healing automation, security, availability and reliability across our global hybrid cloud, WAN, Internet, datacentre and low-latency network footprint, while spearheading the team’s strategic roadmap and backlog delivery. Responsibilities Cloud Network Reliability Drive high-tier support and incident response for complex cloud and hybrid network incidents, coordinating with AWS and network vendors where required. Conduct thorough post-incident reviews and root-cause analyses, using findings to improve resilience, monitoring, automation and capacity planning. Serve as the definitive technical SME for the newly formed Cloud Network SRE team, collaborating closely with engineering, platform, and support teams to continuously improve service delivery. Drive high-tier support and incident response for complex hybrid (cloud and on-premises) network incidents. Conduct thorough post-incident reviews (PIRs) and root-cause analyses (RCAs) to prevent recurrence. Strategic Roadmap & Agile Delivery Lead the team’s strategic technical roadmap, creating and tracking against SLI/SLO targets, recurring incidents, Incident/RCA findings, capacity trends and long-term reliability/platform goals into actionable initiatives. Refine, prioritize, and manage the team backlog, translating strategic objectives into structured tasks integrated into regular agile sprint cycles. Collaborate with Network Engineering to transition new AWS network services, such as regional AWS Direct Connect deployments, into production operations with appropriate monitoring, documentation and support readiness. Observability, Automation, & Infrastructure as Code (IaC) Lead the creation and continuous improvement of monitoring dashboards, alerting and observability frameworks for cloud network services, alert prioritisation, trend/correlation analysis, fast fault detection and telemetry-driven incident response. Partner tightly with Network Automation and Platform Engineering teams to automate high-frequency operational tasks through automation, CI/CD, GitOps or orchestration where appropriate, reducing toil and enabling self-healing or event-driven remediation where practical. Oversee network configuration changes managed via Terraform and related automation tooling, ensuring peer review, controlled release/rollback, robust change control and alignment to internal architecture standards. Operational Governance & Vendor Partnership Conduct regular service performance reviews with AWS technical/account teams and relevant network vendors to review recurring issues, support deep-dive investigations, align on roadmap features and ensure contracted SLAs and internal SLOs are met or exceeded. Create and maintain robust operational documentation, architecture diagrams, and runbooks to drive down Mean Time to Resolution (MTTR). Required Skills & Experience Proven experience in a Site Reliability Engineering, Network Engineering or Cloud Infrastructure role, operating complex infrastructure at scale within a high-performance, mission-critical environment. Financial services or low-latency trading experience preferred. Expertise in AWS core networking services: AWS Direct Connect, Transit Gateway, VPC, Route 53, VPC Flow Logs, Cloud native firewall architectures, and PrivateLink. Strong production experience with Terraform for network provisioning and state management. Proficiency with modern observability and monitoring stacks (e.g., Prometheus/PromQL, Grafana, AWS CloudWatch) with experience improving alert quality and operational visibility. Demonstrated capability in scripting and automation using Python, Bash or Go, with exposure to CI/CD, GitOps, Ansible or orchestration workflows. Solid understanding of core networking protocols and architectures (BGP, IPsec VPNs, TCP/IP, DNS, routing/switching design). Experience driving technical roadmaps, backlog refinement, and sprint planning in an agile environment. Strong analytical and problem-solving skills with a bias toward automation over manual toil. Excellent communication skills to interface across platform engineering, trading desks, and external cloud vendors. Working Pattern This role operates within a global Network team. Participation in on-call, out-of-hours escalation, maintenance windows, and major incident response will be required, consistent with the operational nature of the team QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

• Опыт управления IT-проектами от 3 лет.

Предстоит помогать команде принимать технические решения, обновлять стек и улучшать процесс разработки.

Location: Москва Workplace: Офис, Гибридный Финтех — молодое и перспективное направление Яндекса. Мы создаём удобные платёжные сервисы и инструменты для управления личными финансами. У нас атмосфера стартапа и динамично развивающаяся команда. Наша команда разрабатывает ключевые части веб-версии продукта и мобильного приложения Яндекс Пэй: личный кабинет пользователя, платежи и переводы, маркетинговые проекты, процессы идентификации и многое другое. Мы ищем руководителя, который вместе с нами будет строить качественные клиентские приложения: развивать команду фронтенд-разработчиков, участвовать в выборе архитектуры, технологий и подходов к поставке, помогать регулярно выкатывать изменения в продакшен. Впереди много интересных задач — приходите! Обязанности Руководство командой и её развитие Вы возглавите команду из 7+ фронтенд-разработчиков: будете проводить встречи 1:1, поддерживать профессиональный рост сотрудников, работать с мотивацией и вовлечённостью. Организация работы над проектами Вам предстоит распределять нагрузку, координировать работу со смежными командами и стейкхолдерами из продукта, дизайна и бизнеса, контролировать сроки. Вы также будете выстраивать процессы поставки изменений (CI/CD, автоматизация сборок, тестирование, релизы) и следить, чтобы команда придерживалась лучших практик написания кода. Архитектура и технический долг Вы станете участвовать в проработке архитектуры сервисов и помогать команде принимать технические решения, а также управлять техдолгом и приоритизировать технические инициативы, чтобы скорость разработки не мешала качеству и стабильности. Больше о фронтенде в Яндексе — в канале Yandex for Frontend Требования * Руководили командой разработки не менее года * Знаете современные практики разработки (Agile, Scrum, Kanban), понимаете их различия и умеете адаптировать процессы под контекст команды * Принимали сложные архитектурные решения, проектировали и развивали комплексные системы с акцентом на стабильность и качество * Умеете держать баланс между скоростью разработки и качеством * Умеете коммуницировать с разными стейкхолдерами (продукт, дизайн, бизнес) * Хорошо разбираетесь во фронтенде и современном стеке (React, TypeScript, Next.js, NestJS) * Понимаете, как выстраивать CI/CD, автоматизацию сборок, тестирование и релизы Будет плюсом * Проектировали микросервисы или микрофронтенды * Знакомы с Kubernetes, Istio, Grafana, VictoriaMetrics * Работали с GraphQL и проектировали BFF-слой