Вакансии

Location: Indonesia; Nigeria; Turkey; United States About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are looking for experienced Application Security Engineers and Security-Focused Software Engineers to support a specialized AI security evaluation project. In this role, you will assess how effectively static analysis tools identify security vulnerabilities in Generative AI applications, particularly LLM agents and Retrieval-Augmented Generation (RAG) systems. You will build small, runnable repositories containing realistic examples of Sensitive Information Disclosure (SID) and Excessive Agency (EA) vulnerabilities, alongside fixed and near-miss versions. You will analyze code paths, identify security weaknesses, define authorization contexts, develop deterministic tests, and document findings. Your work will help improve the reliability of security tools and strengthen how AI systems are evaluated for application-level vulnerabilities. LOCATION: Remote EXPERIENCE: 5+ years in application/product security or security-focused software engineering PROJECT: GenAI application security evaluation and AI training TECHNICAL FOCUS: Python, TypeScript, SAST, CodeQL, Semgrep, LLM agents, RAG, and MCP AI EXPERIENCE: Hands-on experience building LLM agents or RAG applications is required. Key Responsibilities Build runnable agent and RAG repositories containing code-reachable Sensitive Information Disclosure and Excessive Agency vulnerabilities. Develop realistic security scenarios involving tool calling, agent memory, Model Context Protocol (MCP), and other LLM application components. Create vulnerable, fixed, and hard-negative code variants with minimal security-relevant differences. Evaluate static application security testing (SAST) tools and assess their ability to detect genuine vulnerabilities while avoiding false positives. Perform source-to-sink analysis and trace relevant data flows, action paths, and trust boundaries. Annotate security findings, including affected assets, root causes, controls, severity, and residual risk. Define authorization contexts covering actors, tenants, identities, permitted data, actions, purposes, and recipients. Develop deterministic tests to validate vulnerable, fixed, and negative security behaviors. Recommend appropriate security controls and remediation approaches. Participate in technical calibration, peer reviews, and quality assurance activities. Requirements 5+ years of professional experience in application security, product security, or security-focused software engineering. Strong experience conducting secure code reviews and identifying application-level vulnerabilities. Practical knowledge of source-to-sink analysis, taint analysis, and static application security testing (SAST). Hands-on experience with security analysis tools such as CodeQL or Semgrep. Experience building or securing LLM agents and/or Retrieval-Augmented Generation (RAG) applications. Familiarity with frameworks and technologies such as LangChain, LlamaIndex, OpenAI or Anthropic SDKs, and Model Context Protocol (MCP). Strong understanding of authorization models, including: Actors, identities, and trust boundaries. Multi-tenant authorization and access control. OAuth, IAM, and identity management. Permitted data access and actions. Purpose and recipient restrictions. Document-level access control. Production-level coding experience in Python and/or TypeScript. Ability to distinguish genuine Sensitive Information Disclosure and Excessive Agency vulnerabilities from non-findings and false positives. Strong analytical skills and the ability to communicate technical security findings clearly.

Location: Bangladesh; Brazil; Colombia; Egypt; Ghana; India About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are looking for experienced Application Security Engineers and Security-Focused Software Engineers to support a specialized AI security evaluation project. In this role, you will assess how effectively static analysis tools identify security vulnerabilities in Generative AI applications, particularly LLM agents and Retrieval-Augmented Generation (RAG) systems. You will build small, runnable repositories containing realistic examples of Sensitive Information Disclosure (SID) and Excessive Agency (EA) vulnerabilities, alongside fixed and near-miss versions. You will analyze code paths, identify security weaknesses, define authorization contexts, develop deterministic tests, and document findings. Your work will help improve the reliability of security tools and strengthen how AI systems are evaluated for application-level vulnerabilities. LOCATION: Remote EXPERIENCE: 5+ years in application/product security or security-focused software engineering PROJECT: GenAI application security evaluation and AI training TECHNICAL FOCUS: Python, TypeScript, SAST, CodeQL, Semgrep, LLM agents, RAG, and MCP AI EXPERIENCE: Hands-on experience building LLM agents or RAG applications is required. Key Responsibilities Build runnable agent and RAG repositories containing code-reachable Sensitive Information Disclosure and Excessive Agency vulnerabilities. Develop realistic security scenarios involving tool calling, agent memory, Model Context Protocol (MCP), and other LLM application components. Create vulnerable, fixed, and hard-negative code variants with minimal security-relevant differences. Evaluate static application security testing (SAST) tools and assess their ability to detect genuine vulnerabilities while avoiding false positives. Perform source-to-sink analysis and trace relevant data flows, action paths, and trust boundaries. Annotate security findings, including affected assets, root causes, controls, severity, and residual risk. Define authorization contexts covering actors, tenants, identities, permitted data, actions, purposes, and recipients. Develop deterministic tests to validate vulnerable, fixed, and negative security behaviors. Recommend appropriate security controls and remediation approaches. Participate in technical calibration, peer reviews, and quality assurance activities. Requirements 5+ years of professional experience in application security, product security, or security-focused software engineering. Strong experience conducting secure code reviews and identifying application-level vulnerabilities. Practical knowledge of source-to-sink analysis, taint analysis, and static application security testing (SAST). Hands-on experience with security analysis tools such as CodeQL or Semgrep. Experience building or securing LLM agents and/or Retrieval-Augmented Generation (RAG) applications. Familiarity with frameworks and technologies such as LangChain, LlamaIndex, OpenAI or Anthropic SDKs, and Model Context Protocol (MCP). Strong understanding of authorization models, including: Actors, identities, and trust boundaries. Multi-tenant authorization and access control. OAuth, IAM, and identity management. Permitted data access and actions. Purpose and recipient restrictions. Document-level access control. Production-level coding experience in Python and/or TypeScript. Ability to distinguish genuine Sensitive Information Disclosure and Excessive Agency vulnerabilities from non-findings and false positives. Strong analytical skills and the ability to communicate technical security findings clearly.

Организовывать работу грузчиков и продавцов-кассиров; Замещать заведующего магазином на время его отсутствия;

• Опыт работы системным аналитиком от 5 лет. • Знание стека: Knowledge Space, Optimacros, Novo BI, Jume, Reshape.

Location: Брянск Каждый второй предприниматель малого и среднего бизнеса в России работает со Сбером. Наша команда создаёт технологичные решения, постоянно улучшает свои навыки и развивается вместе с малым бизнесом страны. Откликайся и мы поможем тебе освоить специальность, предоставим базу клиентов и возможности для развития! ### **Что мы предлагаем:** * оклад, квартальную, годовую премию и ежегодный пересмотр зарплаты * возможность влиять на свой доход * оплату транспортных расходов, корпоративную мобильную связь и планшет * программу адаптации и помощь руководителя на старте * работа со всеми отраслями бизнеса и широкая линейка продуктов * расширенный ДМС и льготное страхование для семьи * уникальную систему обучения Сбера для карьерного развития и роста * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ. Обязанности ### **Что нужно делать:** * развивать бизнес клиентов из закрепленной базы, подбирая решения от Сбера * выезжать на переговоры к клиентам * предлагать клиентам продукты, рекомендованные AI-системой для их бизнеса * продавать банковские продукты и помогать с их оформлением. Требования ### **Мы ждем, что ты:** * специалист с высшим образованием * имеешь опыт работы в сфере продаж банковских или финансовых продуктов корпоративным клиентам * имеешь опыт проведения переговоров на уровне первых лиц компании * знаешь отрасли ведения бизнеса и банковские продукты для малого бизнеса * готов использовать ИИ в ежедневной работе (обучение за счёт компании - есть свои курсы). Условия ### **Присоединяйся к команде Сбера!** #клиентский\_менеджер\_малого\_бизнеса #менеджер\_по\_работе\_с\_корпоративными\_клиентами #менеджер\_по\_работе\_с\_юридическими\_лицами #клиентский\_менеджер #менеджер\_по\_продажам #менеджер\_по\_эквайрингу #финансовый\_консультант #менеджер\_по\_лизингу #менеджер\_по\_развитию\_бизнеса #менежер\_по\_кредитованию. **Мы будем рады, если у тебя есть опыт в компаниях:** ВТБ, Альфа Банк, Тинькофф, Промсвязьбанк, Открытие, Юникредит Банк, Газпромбанк, Россельхозбанк, Райффайзен Банк, Ситибанк, Совкомбанк.

Location: Remote About the Team Netlify's Finance team builds the financial foundation that helps the company plan, operate, and make informed decisions. The team owns our operating model, management reporting, budgeting and planning, and the company-level metrics leadership uses to understand performance and make tradeoffs. As Senior Finance Manager, you'll own the corporate finance cycle and decide what it should become. That covers monthly reporting, the driver-based forecast, annual planning, scenario work, and the KPI layer, and it extends past running them well into bringing your experience to improve and innovate on our processes. This is a hands-on role with real latitude: you will work directly with senior leadership on capital, pricing, and headcount decisions, and will leverage AI to build better tooling and make Finance faster and less dependent on manual work. What You'll Do Own the corporate finance cycle end to end, including the monthly reporting package, the driver-based forecast, annual planning, and scenario analysis, and redesign the parts that no longer hold up as we scale Frame which scenarios are worth running ahead of capital, pricing, and headcount decisions, and bring a recommendation rather than a set of outputs Lead the annual planning process across departments, from calendar and templates through consolidation and board-ready output Lead cross-functional alignment on metric definitions, reporting dimensions and financial data hygiene Own the company-level KPI and metrics layer, decide what leadership measures as the business evolves, and carry a view on the trends driving each metric Drive market and competitor research to support pricing and packaging, capital allocation, and improve financial forecasting Communicate complex financial mechanics to people outside finance, and drive cross-functional decisions and leadership buy-in Set how budget management runs across departments, including the cadence and what a department leader is accountable for, rather than tracking it on their behalf Be a thought leader steering the finance function's AI operating standard and build the systems and agents to support it Partner with Sales leadership on capacity model and KPI tracking What You'll Bring 7+ years in FP&A or strategic finance, including several years at a SaaS or usage-based business. An investment banking, consulting or private equity background preferred; but strong modeling skills, ability to develop frameworks to solve complex problems and ability to run scenarios is a must Multiple annual planning cycles owned end to end A history of building 3-statement models from scratch, with scenario and sensitivity analysis, and of making structural changes to a model rather than only updating inputs Strong working knowledge of US GAAP and core accounting principles Advanced Google Sheets or Excel, and comfort with large datasets and formula-heavy models Comfort framing abstract business problems and creating frameworks to address them Deep system-level understanding of how financial data moves across source systems, the warehouse, and the planning and reporting layer Deep command of SaaS metrics and their drivers, with a point of view on which ones actually matter at our stage Working knowledge of SQL Hands-on experience building AI workflows other teams adopt, and a clear view on where the human checks belongs Experience presenting analysis and recommendations to executive staff, and a track record of driving org level impact Deep curiosity about our business, product, customers, competitors and industry trends This Role Is a Great Fit If You want to own a function, not contribute to one. The corporate finance cycle would be yours to run and to redesign. You're comfortable being the only person on this work. There is no junior analyst supporting the role and no plan to add one. You will build it and run it yourself. You’re deeply curious about industry. You keep up to date with industry trends, research the competitive landscape, and you turn that into a recommendation rather than an observation. You notice when something is slower or more manual than it needs to be, and you fix it without being asked. You're excited to build. The tooling, the reporting layer, and the automation work are all genuinely open, and there is room to make this function structurally better. Our applications will close on Friday, November 13th at 5pm CST Applying Not sure you meet 100% of our qualifications? Please apply anyway! When applying please include: A resume or short listing of your job history & skills (link to a LinkedIn profile would be fine). We appreciate a cover letter explaining why you would enjoy working in this role at Netlify to get to know you a bit better, though this is not required and will not impact your application. Our mission is to "build a better web" and that cannot be done without a diversity of skill sets, backgrounds and thoughts. Of everything we've ever built at Netlify, we are most proud of our team. Netlify is an Equal Opportunity Employer. We are devoted to building a team of people with diverse backgrounds and lifestyles. Driving equality empowers our team, enables us to innovate, and helps us maintain a more inclusive environment. We don't discriminate against employees or applicants based on gender identity or expression, sexual orientation, religion, age, race, military/veteran status, citizenship, pregnancy status, or any other differences. If we can do anything to provide a better interview, i.e. accommodate a disability, then please let us know by emailing accommodations@netlify.com . About Netlify Netlify is the most popular way to build, deploy, and scale modern web applications, empowering everyone from fast moving solo developers to enterprise teams. Millions of developers and organizations rely on Netlify as their platform of choice for composing web applications that are production ready, performant, and flexible. Now, as we embrace the next era of software development, we are embedding the same fluid, intuitive experience into the Agent Experience (AX), making it just as simple for intelligent agents to understand, interact with, and act on our platform as it is for developers. Whether your user is human or machine, Netlify ensures the path from idea to URL is seamless, fast, and deeply reliable. We are a Series D company that has raised over $200M from investors such as Andreessen Horowitz, Kleiner Perkins, EQT, Bessemer, BOND, and Menlo Ventures. As a fully distributed company, we aim to create a company culture where the best idea can come from anywhere and strive to be thoughtful, compassionate, and collaborative in our work. If this sounds like something you'd like to be part of, we're excited to connect with you! At Netlify, we are committed to a compensation philosophy that prioritizes fairness and equity, positions our employee compensation competitively in the market, recognizes and rewards performance, and takes a comprehensive approach to our rewards package. We anchor our compensation philosophy on a market-based approach, therefore salary ranges may differ depending on the labor cost in a particular location. The salary provided is in addition to robust benefits and participation in Netlify's equity plan. Our hiring range for this role is targeted at $150,000 - $208,000 for most US-based locations. Candidates outside the US or in premium markets should consult with their Talent Acquisition partner regarding location-based ranges, as they may be higher or lower than the average US range listed. The starting pay will be determined based on multiple factors, including expertise and skills, market demands, experience, internal equity, and applicable geographic location. These compensation packages and ranges are subject to change and may be modified in the future.

• Делать 3D-модели с AI: генерировать из изображений и текста и готовить к использованию в проекте под визуализации или real-time. • Собирать сложные и инженерно точные объекты по референсам и чертежам совместно с Claude или ChatGPT: процедурно и скриптами (Blender + Python).

Location: Москва Workplace: Комбинированный Мы развиваем пользовательские AI-сценарии в Дзене: помогаем людям находить нужную информацию, разбираться в событиях и получать персонализированный контент. Один из ключевых фокусов — развитие поиска: делаем его полезнее, точнее и удобнее, в том числе с помощью AI. Задачи Развивать пользовательские сценарии поиска и AI-функции в Дзене: находить точки роста, формировать продуктовое видение и определять приоритеты развития Изучать потребности и поведение пользователей, анализировать обратную связь, данные и решения конкурентов, выявлять возможности для улучшения поиска и применения ИИ в продукте Прорабатывать поисковые и AI-сценарии: от понимания пользовательской задачи и формирования концепции до требований, запуска и оценки результата Формулировать и проверять продуктовые гипотезы, определять приоритеты, управлять backlog и координировать реализацию решений совместно с разработкой, дизайном, аналитикой и ML-командой Определять метрики успеха, проводить A/B-тесты и оценивать влияние изменений на качество поиска, успешность решения пользовательских задач, вовлечённость и возвращаемость пользователей Требования Мы ожидаем, что ты: Имеешь опыт продуктового управления от нескольких лет и умеешь самостоятельно вести продуктовые задачи или направления от идеи до измеримого результата Умеешь находить пользовательские проблемы и продуктовые возможности, формулировать гипотезы, определять приоритеты и обосновывать решения данными Понимаешь принципы продуктовой аналитики, умеешь работать с метриками и оценивать результаты экспериментов, включая A/B-тесты Умеешь работать на стыке продукта, разработки, аналитики и ML: формулировать понятные требования, обсуждать ограничения и договариваться о решениях с командой Способен разбираться в сложных и неоднозначных задачах, самостоятельно предлагать варианты решения и доводить их до результата Интересуешься AI-продуктами, понимаешь возможности и ограничения LLM, в том числе фактические ошибки, актуальность информации и непредсказуемость ответов Будет плюсом Понимание принципов работы информационного поиска, основных метрик качества поиска и подходов к оценке релевантности результатов Опыт работы с ML-продуктами, рекомендательными системами или контентными платформами Понимание принципов работы LLM, промптинга, RAG и применения генеративного ИИ в пользовательских сценариях Владение SQL и инструментами продуктовой аналитики Опыт проведения пользовательских исследований и оценки качества поисковых или AI-функций

+ 5 лет опыта Понимание и умение работать с AI сервисами и агентами Задачи: Поддержка и развитие инфраструктуры, мониторинг и автоматизация. Настройка CI/CD, развёртывание новых сервисов.

Location: Singapore Office Workplace: Hybrid The Deal Desk function partners across Chainalysis to help teams structure and execute complex commercial deals. For APAC, this role will provide dedicated regional coverage across markets including ASEAN, Korea, Japan and Australia, helping Sales teams get timely support in their time zone. Combining commercial judgment with analytical rigor, the team develops solutions that meet customer needs while aligning with Chainalysis’ pricing, product and contractual guidelines. Deal complexity is increasing as the function provides more structuring guidance and the company evolves toward consumption-based pricing. You’ll join a growing, decentralized function and work closely with APAC Sales, Revenue Operations, Finance, Legal, Product, Marketing and other teams. You’ll receive support from colleagues in other regions as you ramp, then take increasing ownership of regional deal support and make well-reasoned decisions within established guardrails. In this role, you’ll: - Partner with APAC Sales to structure, price and quote complex deals, applying your understanding of our licensing, subscription and consumption based pricing models to recommend solutions that meet customer needs and align with company guidelines. - Review deal requests, analyze pricing and discounts, and present clear recommendations to business approvers. - Guide Sales through negotiations, contract objections, alternative deal structures and non-standard order-form requirements. - Work with Legal, Product, Finance, Revenue Operations and other teams to resolve complex commercial issues and support accurate forecasting and order booking. - Serve as a key point of contact for APAC Sales on pricing, quoting and exceptions to standard processes, providing timely support across regional time zones. - Help Sales leaders prioritize opportunities around month-end, quarter-end and year-end deadlines. - Apply sound commercial judgment and clearly explain recommendations, risks and trade-offs. - Troubleshoot complex quoting issues in Salesforce CPQ or similar systems, and share recurring deal insights with the team. - Identify and deliver improvements to workflows, documentation and system automation. - Build expertise in consumption-based pricing as Chainalysis’ commercial models evolve. We are looking for candidates who have/are: - Experience in the technology industry, ideally in RevOps, Sales Operations, Deal Desk, business partnering, order management or a related function supporting Sales teams. - Familiarity with SaaS subscription pricing and the ability to understand how commercial terms and pricing structures support customer needs and company objectives. - Experience with Salesforce CRM and Salesforce CPQ, or similar quoting systems. - Strong analytical skills, including pricing, discount and commercial analysis. - Strong judgment and communication skills, with the ability to influence stakeholders and manage competing priorities. - The ability to make and explain reasoned decisions at the appropriate level, without needing to escalate every issue. - Comfort working independently in a fast-paced environment with ambiguity, changing priorities and time-sensitive requests. - Strong organizational and workload-management skills, with the ability to prioritize based on risk and business needs. - A strategic, adaptable and growth-oriented mindset, with the potential to take on increasing ownership over time. - Proven ability to work effectively with stakeholders across APAC markets and different working styles. - Working with APAC teams or navigating regional differences in stakeholder needs and ways of working. - We value potential, strategic thinking and adaptability alongside relevant experience. Direct Deal Desk experience is helpful, but experience supporting Sales through RevOps, Sales Operations, business partnering or order management can also be relevant. Nice to have experience: - Supporting Sales teams with consumption-based pricing models. - Structuring or reviewing commercial deals, including basic deal-desk or order-management experience. - Supporting sales to crypto exchanges, fintech companies or payment providers. - Working with both SaaS and on-premise commercial models. - Developing pricing frameworks, approval processes or scalable Deal Desk operations. - Knowledge of revenue recognition principles, including GAAP and ASC 606. - Working with a consumption-based CPQ platform. - Partnering with IT or Business Systems teams on Salesforce enhancements and automation. - Experience in crypto or blockchain; this is a plus, not a requirement. Technologies we use: - Salesforce - Salesforce CPQ - Slack - Google Workspace - Microsoft Office AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Задачи: — Проектирование и разработка пользовательского интерфейса на React, проектирование компонентной архитектуры приложения — Участие в разработке стратегии миграции с текущего решения на новую архитектуру: определение приоритетности компонентов для переписывания, планирование поэтапного перехода с сохранением функциональности — Анализ текущей сборки нативного решения: выявление неиспользуемых компонентов и зависимостей, определение возможностей для оптимизации и улучшения производительности — Интеграция с backend API (REST API, WebSocket), участие в принятии технических решений по развитию frontend- и backend-архитектуры — Проведение сквозной диагностики производительности от клиента до БД и обратно, выявление узких мест на любом уровне системы — Учет требований к масштабируемости системы при анализе и предложении решений по оптимизации — Рефакторинг, документирование и актуализация архитектурных и технических решений — Участие в аудите безопасности клиент-серверного взаимодействия — Внесение точечных изменений в серверную логику (Kotlin/Java, Spring Framework) при необходимости — Участие в code review и развитии инженерных практик команды Требования: — Опыт работы в роли Senior Frontend/Fullstack Developer от 5 лет; опыт промышленной разработки на Kotlin/Java от 3 лет — Понимание клиент-серверной архитектуры приложения, взаимодействия фронтенда и бэкенда, маршрутизации запросов и зон ответственности компонентов — Опыт сквозной трассировки, профилирования и отладки приложений от браузера до БД — Понимание принципов работы браузера, сетевого стека (DNS, TLS, reverse proxy, API Gateway) и клиент-серверного взаимодействия — Опыт работы с React DevTools: анализ дерева компонентов, профилирование рендеринга, выявление лишних ре-рендеров и оптимизация производительности интерфейса — Глубокое понимание DOM-модели, работы с Virtual DOM в React, влияния reflow/repaint на производительность — Опыт аудита и оптимизации legacy-кодовых баз в промышленных проектах — Понимание и применение подходов информационной безопасности в разработке (DevSecOps) на клиенте и сервере — Глубокое понимание архитектурных подходов и паттернов проектирования — Самостоятельность и senior-уровень мышления для работы со сложной архитектурой без развёрнутых бизнес-постановок — Навыки эффективной коммуникации с backend-командой, бизнес-заказчиками и смежными командами — Знание и опыт применения принципов и практик DevOps (CI/CD, Docker, Podman) будет плюсом Условия: — Оформление по ТК РФ в аккредитованную IT-компанию — Стабильная белая заработная плата — Работа в международной компании — Возможности развития и профессионального роста — График работы 5/2 с 09:00 до 18:00, формат работы на выбор (офисный, гибрид или удаленный) — ДМС (со стоматологией) — Программа корпоративных привилегий PrimeZone

-Проектировать, разрабатывать и оптимизировать ML-пайплайны: от подготовки данных и обучения моделей до внедрения в production. -Разрабатывать и дообучать ML/NLP-модели под продуктовые задачи.

Location: South Africa, Western Cape, South Africa About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Role: Technical Recruiter Location: Cape Town, South Africa Experience Level: 7+ years of technical recruiting experience Work Arrangement: Remote, with working hours aligned to 9:00 AM to 5:00 PM U.S. Eastern Time Why Join Turing? Exceptional talent builds exceptional teams, and exceptional teams shape what Turing can achieve. As a Technical Recruiter, you will own searches from intake through successful start. You will source, assess, engage, and close exceptional talent while partnering closely with hiring managers and candidates throughout the process. Although the role is grounded in technical recruiting, you will support both technical and nontechnical hiring as business priorities evolve. You will also use AI, automation, data, and recruiting technology to improve quality, speed, and effectiveness. As a Technical Recruiter, You Will Own Full-Cycle Recruiting Independently manage assigned requisitions and candidates from intake through successful start. Build qualified pipelines through targeted research, talent mapping, personalized outreach, referrals, and professional networks. Maintain accountability for hiring outcomes, candidate progression, and timely requisition updates. Recruit Across Functions and Geographies Recruit for technical and nontechnical roles across multiple functions and geographic markets. Recruit senior technical roles across London, New York, Seattle, and other international markets. Build local market knowledge and adapt sourcing strategies to different talent pools. Partner With Hiring Managers Define role requirements, calibrate candidate profiles, establish sourcing strategies, and align on evaluation criteria. Provide informed recommendations on candidate qualifications, talent availability, compensation expectations, and hiring strategy. Build trusted relationships with hiring managers and serve as a thoughtful advisor throughout the search. Assess, Engage, and Close Candidates Evaluate candidate qualifications, experience, and role alignment using sound judgment and consistent standards. Coordinate structured interviews, timely feedback, and hiring decisions while proactively resolving obstacles. Develop closing strategies based on candidate motivations, competing opportunities, compensation expectations, and potential concerns. Improve Recruiting Operations Use approved AI, automation, and recruiting technologies while maintaining human judgment and candidate confidentiality. Identify improvements that reduce administrative work, accelerate candidate progression, and improve recruiting outcomes. Maintain accurate, complete, and timely requisition and candidate data in Greenhouse and other relevant systems. The Opportunity Own the outcome: You will be accountable for your searches from intake through successful start, not simply for completing individual recruiting tasks. Build trusted partnerships: You will work directly with hiring managers and candidates and influence hiring decisions through strong judgment and clear communication. Recruit across markets: You will identify and engage senior technical talent across North America, Europe, and other global markets. Raise the operating standard: You will help improve how Turing recruits through disciplined execution, better use of technology, and continuous process improvement. Our Technical Recruiters Typically Have Full-cycle recruiting experience: Seven or more years of experience independently sourcing, assessing, engaging, and closing candidates across the full recruiting lifecycle. Senior technical recruiting experience: A track record of recruiting senior technical roles, including software engineering, AI, data, infrastructure, or related disciplines. Global recruiting experience: Experience recruiting for roles in geographies outside your own, including North America and Europe. Market familiarity: Familiarity recruiting senior technical talent in markets such as London, New York, and Seattle. Talent intelligence: The ability to apply market insights to strengthen sourcing strategies, candidate assessments, compensation discussions, and hiring decisions. Candidate and stakeholder judgment: Strong communication, relationship-building, organization, and judgment across candidates, hiring managers, and cross-functional partners. AI-enabled execution: The ability to use approved AI tools, automation, data, and recruiting systems to improve recruiting quality, speed, and effectiveness. Candidates whose experience is limited to recruiting coordination, interview scheduling, or transactional sourcing without full-cycle ownership will not be a fit for this role. Top-Tier Candidates Will Have Experience recruiting senior technical talent in competitive markets such as London, New York, and Seattle. Experience recruiting across multiple international markets and adapting strategies to local talent pools. A track record of building passive candidate pipelines and closing candidates in competitive talent markets. Experience using AI, automation, recruiting analytics, or other technology to improve recruiting execution. Strong experience partnering with senior technical leaders on role definition, candidate calibration, and hiring strategy. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Мы ищем Senior System Developer с сильной экспертизой в C++ и опытом разработки высокочастотных торговых систем (HFT) на криптовалютном рынке. Ключевое требование - практический опыт разработки и поддержки Market Making-систем с непосредственной работой на централизованных криптовалютных биржах (CEX), в первую очередь Binance.

Senior Fullstack Engineer для подписочного AI-продукта. Опыт коммерческой разработки от 4 лет, обязательно с опытом работы в продуктовой компании.

- Execute account management strategies to deepen relationships within the institutional client base. - Identify and qualify opportunities for clients to adopt additional FalconX services, focusing on derivatives and credit/lending.

• Опыт системного анализа от 3 лет, обязательно с DWH и аналитической отчётностью.

• От 5 лет коммерческой разработки на C++ (17 и выше), STL, Boost. • Linux userspace, POSIX API, systemd и D-Bus.