Вакансии

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

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

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

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

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

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

Задачи: — разрабатывать и оптимизировать SQL-запросы, процедуры, функции, триггеры, views; — работать со структурой БД, индексами и миграциями; — анализировать execution plans, находить блокировки, deadlock и проблемы производительности; — контролировать изменения БД в Test и Production; — мониторить состояние и нагрузку БД; — заниматься backup/restore, репликацией и отказоустойчивостью; — участвовать в расследовании Production-инцидентов; — взаимодействовать с разработчиками, DevOps и QA. Требования: — опыт работы DBA / Database Engineer / SQL Developer; — уверенный SQL; — хорошее понимание реляционных БД; — опыт оптимизации запросов и анализа execution plans; — понимание индексов, транзакций, locking и deadlock; — опыт работы с Production-БД; — понимание backup/restore, репликации и High Availability; — Git и версионирование SQL-кода. Будет плюсом опыт в FinTech, банках или платежных системах, а также работа с высоконагруженными БД. Условия: — официальное трудоустройство по ТК РК; — понятный онбординг и поддержка на старте; — обучение и развитие за счёт компании; — частичная компенсация занятий спортом; — корпоративные активности и мероприятия; — работа в офисе в Караганде или удалённо по всему Казахстану.

Требования: — Опыт тестирования web и mobile-приложений не менее 2 лет. — Уверенное знание TypeScript. — Понимание принципов автоматизированного тестирования и практический опыт написания автотестов. — Опыт работы с Playwright, Cypress, Selenium, Appium или аналогичными инструментами автоматизации тестирования. — Понимание REST API и практический опыт работы со Swagger и Postman. — Опыт работы с Git. — Умение составлять тест-кейсы и чек-листы, грамотно оформлять баг-репорты. — Внимательность к деталям, аналитическое мышление и ответственность. — Опыт работы с Jira, YouTrack или аналогичными системами будет преимуществом. Обязанности: — Разработка и поддержка автоматизированных тестов для web и mobile-приложений. — Автоматизация функционального и регрессионного тестирования. — Тестирование REST API с использованием Swagger и Postman. — Анализ результатов автотестов, поиск и описание ошибок. — Поддержка и развитие существующей тестовой инфраструктуры. — Подготовка тестовой документации. — Взаимодействие с командой разработки для повышения качества продукта. Условия: — Работа в офисе в Ташкенте. — Полная занятость. — Испытательный срок — 2 недели. — Возможность профессионального роста в продуктовой IT-компании. Зарплата: — 6 000 000–15 000 000 сум (по результатам собеседования).

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Claude's capabilities grow, so does our responsibility to ensure those capabilities reach the right people. The Access Programs team builds the systems that verify who our customers are, grant access to advanced model capabilities for approved use cases, and ensure that access is not misused. As a software engineer on this team, you will build the identity, vetting, and access management infrastructure that underpins our trusted access programs, along with the monitoring and enforcement tooling that keeps them safe. This work sits at the center of how Anthropic deploys frontier capabilities responsibly, balancing broad access with rigorous safeguards. Responsibilities: Build identity verification and vetting systems (KYC/KYB) that establish who our individual and business customers are Design and implement access control systems that grant, scope, and revoke access to advanced capabilities based on approved use cases Build infrastructure to configure safety systems and detection thresholds on a per-customer basis for trusted access programs Develop monitoring to detect misuse of expanded access, and tooling that enables enforcement teams to act on it Partner closely with policy, enforcement, threat intelligence, product, research, and go-to-market teams so that access decisions are well-informed and consistently applied Build systems that identify account compromise and takeover, apply mitigations in real time, and carry affected accounts through to full remediation Design and build the dashboards, alerting, and internal admin tooling that give the team and its partners clear visibility into the health and outcomes of our access programs Integrate with third-party identity verification and data enrichment vendors You may be a good fit if you have: A Bachelor's degree in Computer Science, Software Engineering, or comparable experience Experience building and operating backend systems in production Strong coding skills in at least one general-purpose programming language, and experience building software with AI coding tools Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Care about the societal impacts of AI and want your work to make powerful systems safer Strong candidates may also: 8+ years of industry software engineering experience Experience building shared platforms or foundational services that many teams and products depend on, rather than one-off solutions for a single use case A track record of working across functions (for example engineering, product, policy, operations, and go-to-market) to gather requirements, reconcile competing needs, and drive adoption of what you build Experience with identity, authentication, or authorization systems at scale Experience with KYC/KYB workflows or identity verification vendors Experience in trust and safety, integrity, fraud, or abuse detection Experience detecting and responding to account takeover or credential compromise Experience partnering with operational teams to build custom internal tooling The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. Responsibilities: Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review Build abuse detection mechanisms and infrastructure Surface abuse patterns to our research teams to harden models at the training stage Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale You may be a good fit if you have: A Bachelor’s degree in Computer Science, Software Engineering or comparable experience Proficiency in Python and Typescript An ability to work across the stack Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 8+ years of experience in a software engineering position Have experience with integrity, spam, fraud, or abuse detection and mitigation Have experience building trust and safety detection mechanisms and intervention for AI/ML systems Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs Have worked closely with operational teams to build custom internal tooling The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Bangalore, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Staff Frontend Engineer An overview of this role As a Staff Frontend Engineer on the Core DevOps team, you'll provide technical leadership across your team and adjacent teams. You'll solve complex frontend problems, deliver large features with minimal guidance, and improve the architecture and standards that help teams move faster without compromising quality. You'll work with product, design, engineering managers, and engineers across product groups to shape product experiences and frontend architecture for a global platform. This includes how teams use agentic artificial intelligence in engineering workflows and user experiences. At GitLab, we build an all-remote, artificial intelligence-powered DevSecOps platform. You'll help shape product experiences and frontend architecture that enable everyone to contribute to and co-create the software that powers our world. What you’ll do Lead the technical design and delivery of large, complex frontend initiatives across multiple teams. Drive frontend platform, design system, and shared architecture strategy for long-term scalability. Define and improve standards for versioning, testing, documentation, accessibility, security, performance, and maintainability. Lead modernization of a monolith or legacy frontend architecture toward modular, reusable, and independently deployable systems. Establish versioned module or host contracts and build, test, deploy, release, and rollback practices for safe operations. Create shared patterns for dependency management, design system integration, observability, error isolation, and performance budgets. Guide technical direction through clear written proposals and architectural leadership. Partner with product and engineering leaders on platform roadmaps, technical debt, and investment trade-offs. Mentor senior and intermediate engineers. Establish guardrails for artificial-intelligence-assisted and agentic workflows that protect code quality, security, privacy, and evaluation standards. What you’ll bring A sustained record of technical leadership across teams or a broad product area. Deep frontend architecture and production experience in complex web applications. Experience scaling or governing a design system, frontend platform, or shared component architecture. Experience with modular frontend architecture in production, such as package encapsulation, Web Components, frontend islands, runtime composition, or an equivalent architecture. Experience creating alignment without formal authority through clear written proposals and decision records. Experience balancing user outcomes, delivery speed, technical health, and long-term platform investment. Experience mentoring engineers and shaping standards through code review and documentation, including evaluating and improving artificial-intelligence-assisted or agentic engineering workflows. Helpful, but not required: experience with Vue, React, Angular, TypeScript, or JavaScript; PostgreSQL, Redis, or object storage; representational state transfer or GraphQL application programming interfaces; Kubernetes, Google Kubernetes Engine, Docker, or Google Cloud Platform; and observability tools such as Prometheus or Sentry. About the team On the Core DevOps team, we own core repository capabilities, from Git command-line operations to web-based code exploration. We develop new features and platforms, improve existing capabilities, and improve maintainability, accessibility, performance, and workflows for teams using artificial-intelligence-assisted development tools. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Bangalore, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Senior Frontend Engineer An overview of this role As a Senior Frontend Engineer, you'll solve high-scope frontend problems and influence your team's technical and product direction. You'll ship moderately sized features with minimal guidance, improve quality and performance, mentor other engineers, and help establish standards for a high-scale web environment. You'll partner across product, design, backend, and frontend to make sound trade-offs, communicate clearly, and improve how the team delivers software. This is an opportunity to shape product experiences and frontend architecture for a global platform while helping define how modern frontend teams use agentic artificial intelligence. You'll apply artificial intelligence-assisted engineering workflows thoughtfully and help create trustworthy user experiences that incorporate artificial intelligence responsibly in a remote-first, asynchronous organization. What you’ll do Design and ship moderately sized frontend features and improvements with minimal guidance, making pragmatic architectural choices. Turn ambiguous customer and product needs into clear technical plans and intuitive, accessible experiences. Advocate for product quality, security, accessibility, performance, maintainability, and operational readiness throughout the development lifecycle. Establish and improve practices for frontend architecture, styling, component design, testing, observability, maintainable code, and thoughtful use of artificial intelligence and agentic tools in production engineering work. Mentor Associate and Intermediate Engineers, share knowledge, remove technical blockers, and improve team delivery practices. Diagnose and prevent frontend performance and reliability issues at scale using observability and production signals, and participate in incident response or on-call responsibilities under your team's ownership model. Design or review independently buildable frontend surfaces and explicit contracts for data, events, authorization, feature flags, error handling, testing, and performance expectations. Collaborate with product, design, backend, quality, security, and other teams to deliver cohesive customer outcomes. What you’ll bring Experience applying frontend architecture, browser behavior, testing, accessibility, performance, and maintainability practices in a complex product or platform environment. Experience designing or evolving modular frontend boundaries, independently buildable surfaces, component systems, or migration-safe architectures. Experience making pragmatic trade-offs with product and design partners and turning complex requirements into clear user experiences. The ability to lead through technical judgment, collaboration, and clear written communication rather than formal authority. Experience mentoring engineers and improving team practices through code review, design review, documentation, or hands-on collaboration. The ability to work effectively in a remote, asynchronous organization by managing priorities, creating clarity, and communicating decisions in writing. Practical experience integrating artificial intelligence into a feature, workflow, or engineering process, or evaluating its reliability, security, privacy, and appropriate human oversight. Helpful, but not required: experience with Vue, React, Angular, TypeScript, or JavaScript; PostgreSQL, Redis, or object storage; representational state transfer or GraphQL; Kubernetes, Google Kubernetes Engine, Docker, or Google Cloud Platform; Prometheus or Sentry; and Git, GitLab Runner, or GitLab continuous integration and continuous delivery. About the team We own core repository capabilities, from Git command-line operations to web-based code exploration. Our roadmap includes feature and platform development, improvements to existing capabilities, maintainability, accessibility, performance, and workflows for teams using AI-assisted development tools. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Australia What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Senior Manager, Detection Engineering & Threat Hunting Location: Remote Australia Compensation Range: $150,000 to $170,000 AUD base plus bonus and equity What You’ll Do: Members of the Huntress DE&TH team wake up every morning with the honor of impeding threat actors through a combination of detection engineering and threat hunting. This team sits alongside our 24x7 Security Operations Center, and our Adversary Tactics & Tactical Response function, and plays a pivotal role in detecting threats actors before they get a chance to impact our partner environments. As a Senior Detection Engineering and Threat Hunting (DE&TH) Analyst you should be drawn to the hard problems: detecting stealthy intrusions, managing false positives and false negatives at scale, and uncovering clues that may expose an evolving campaign across Huntress partners. In this role you will turn threat intelligence, or a hypothesis, into detections that help the SOC find real intrusions faster. While the SOC is responding to alerts within minutes, this team is developing detections and reviewing more ambiguous signs of attacker activity on a daily & weekly basis. On the Detection Engineering side of the role, you will play a part in designing, building, and maintaining a resilient, scalable, and high-fidelity detection portfolio that enables the SOC to rapidly identify and respond to adversary activity. This will involve working with engineering and other adjacent teams to achieve a shared goal across multiple domains which includes identities and endpoints. On the Threat Hunting side of the role, you will get to research new attacker tradecraft, test new theories, and review hunting data at scale for millions of endpoints to proactively hunt for, and disrupt, stealthy threat actor techniques that evade initial defenses. If you love Detection Engineering and Threat Hunting at scale, whilst in the environment and energy of a SOC, this is the role for you! Responsibilities: Contribute to all parts of the detection lifecycle by creating new rules, testing them before deployment, monitoring efficacy, and tuning, promoting, or retiring rules based on their performance. Develop rules across a variety of Huntress products and operating systems such as: Identity Threat Detection and Response (ITDR), Security Information and Event Management (SIEM), Endpoint Detection and Response (EDR), Windows, Linux, and MacOS. Manage any DE&TH requests raised internally or escalated from our partners. Undertake hypothesis-driven hunts across Huntress telemetry, prioritising techniques and tradecraft that may evade high-fidelity detections and initial SOC review. Consume threat intelligence and translate IOCs, TTPs, and internal findings into new or refined detections through Git-based workflows. Build and refine hunting dashboards or queries required to surface potential intrusions. Review ambiguous signs of attacker activity across Huntress products, and surface likely intrusions that require deeper investigation. Investigate or escalate likely intrusions identified to ensure partners receive clear incident reports with accurate advice. Contribute findings to community-driven projects and create Huntress content such as blogs, social posts, videos, podcasts, and webinars. Use AI-assisted workflows to prototype queries, enrich analysis, and develop a scaffolding for detection rules, ensuring you apply sound judgment to validate the AI output. We expect everyone at Huntress to be able to use AI as a real part of how they work, not occasionally, but genuinely embedded in core workflows. What You Bring To The Team: 2+ years of experience in detection engineering, threat hunting, SOC, MDR, or incident response. Intermediate knowledge of Windows internals. Working knowledge of Linux, macOS, Microsoft 365, Azure, and Google Workspace. Experience developing, testing, tuning, and documenting detections or analytics from threat intelligence, IOCs, hypotheses, or real-world investigations. Ability to communicate findings through clear written reports. Strong familiarity with detection languages such as Sigma, Suricata, Snort, or YARA, and query languages such as KQL, EQL, ES|QL, or Splunk SPL. A sound understanding of adversary tradecraft, including techniques used for persistence, privilege escalation, defense impairment, lateral movement, discovery, and collection on a system. A sound understanding of the roles different threat actors play and their associated goals, such as: initial access brokers, ransomware affiliates, and state-sponsored entities. Ability to orchestrate reusable AI workflows that improve threat hunting, detection development, or analysis, and can verify AI-generated outputs before they reach production environments. Bonus points for: Intermediate knowledge of Linux and MacOS internals. Hands-on experience using tools to remotely discover evidence of compromise such as OSquery, Velociraptor, and EDR/MDR/XDR platforms. Previous use of forensic tooling such as Eric Zimmerman's EZ Tools, RegRipper, Hayabusa, or Chainsaw to analyze endpoint artifacts. Intermediate malware analysis skills. What We Offer: Fully remote work At least one annual trip to the US for Summer Summit, with additional local events in Australia! New starter home office set up reimbursement ($800 AUD) 12 weeks paid parental leave for both primary and secondary carers Monthly digital allowance for personal phone and internet costs ($185 AUD) Monthly home office tech stipend to upgrade or replace equipment ($40 AUD) Subsidised private health insurance through our preferred provider Stock options for all full-time employees Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. Explore our Engineering Blog https://builders.ramp.com & Emerging Talent https://builders.ramp.com/emerging-talent Blog to learn more about how we build at Ramp and what it’s like to start your career here. ABOUT THE ROLE Ramp is, at its core, an engineering company, and is on a mission to build the best engineering team in the US! We are looking for iOS interns (12 or 16 weeks) who are excited to be part of our story and help us build a diverse and vibrant tech community. We hire engineers with a broad set of technical skills, who are highly cross-functional, and eager to solve a wide range of engineering challenges. Our ideal candidate has a strong sense of ownership and enjoys owning projects from inception to scaling them in production. We value people who take pride in their work, and show an aptitude for learning quickly whether they’re familiar with our stack or not. You'll be working with a nimble team of committed and talented engineers and having a large, long-term impact on technical design and engineering culture. WHAT YOU’LL DO - Build and ship new features for Ramp’s iOS app - Work alongside experienced engineers and contribute to our mobile codebase - Collaborate with Product and Design to bring new features and experiences to life - Learn from customer feedback and help continuously improve our product - Contribute to engineering tools and processes that help the team move quickly and scale WHAT YOU’LL NEED - Currently pursuing a B.S. or higher in Computer Science or a related technical field, graduating December 2027 or later - Experience with Swift and/or iOS development through internships, coursework, or personal projects - Strong programming fundamentals and understanding of mobile development concepts - Experience building a mobile app, feature, or relevant project - Ability to turn product ideas into thoughtful engineering solutions - Desire to learn quickly, take ownership, and work in a fast-paced environment NICE TO HAVES - Experience with SwiftUI - Familiarity with mobile design patterns and best practices - Experience shipping an iOS app or feature to real users - Exposure to technologies in our mobile stack, including Swift Concurrency, The Composable Architecture, Bazel, OpenAPI, or Buildkite - Experience with web or backend development COMPENSATION - The monthly rate for this internship is $12,500 USD + housing stipend RAMP BENEFITS - Apple MacBook - Catered Lunches in NYC office Monday-Friday BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: New York, NY (HQ) Workplace: OnSite ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. Explore our Engineering Blog https://builders.ramp.com & Emerging Talent https://builders.ramp.com/emerging-talent Blog to learn more about how we build at Ramp and what it’s like to start your career here. ABOUT THE ROLE Ramp is, at its core, an engineering company, and is on a mission to build the best engineering team in the US! We are looking for Android interns (12 or 16 weeks) who are excited to be part of our story and help us build a diverse and vibrant tech community. We hire engineers with a broad set of technical skills, who are highly cross-functional, and eager to solve a wide range of engineering challenges. Our ideal candidate has a strong sense of ownership and enjoys owning projects from inception to scaling them in production. We value people who take pride in their work, and show an aptitude for learning quickly whether they’re familiar with our stack or not. You'll be working with a nimble team of committed and talented engineers and having a large, long-term impact on technical design and engineering culture. WHAT YOU’LL DO - Build and ship new features for Ramp’s Android app - Work alongside experienced engineers and contribute to our mobile codebase - Collaborate with Product and Design to bring new features and experiences to life - Learn from customer feedback and help continuously improve our product - Contribute to engineering tools and processes that help the team move quickly and scale WHAT YOU’LL NEED - Currently pursuing a B.S. or higher in Computer Science or a related technical field, graduating December 2027 or later - Experience with Kotlin and/or Android development through internships, coursework, or personal projects - Strong programming fundamentals and understanding of mobile development concepts - Experience building a mobile app, feature, or relevant project - Ability to turn product ideas into thoughtful engineering solutions - Desire to learn quickly, take ownership, and work in a fast-paced environment NICE TO HAVES - Experience with Jetpack Compose - Familiarity with mobile design patterns and best practices - Experience shipping an Android app or feature to real users COMPENSATION - The monthly rate for this internship is $12,5000 USD + housing stipend RAMP BENEFITS - Apple MacBook - Catered lunches and dinners in NYC office Monday-Friday BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE Open to hiring remote — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv. Runway is hiring a Detection & Response Engineer to own how we find and stop attacks against our infrastructure, our research environment and our products. Securing a company that trains and serves frontier video models is a different problem from securing a typical SaaS product. The environment includes research compute, large training datasets, a fast-moving build pipeline and engineers who work inside AI-assisted tooling every day. Each of those changes what an attack looks like and what you need to see to catch it. You'll join the Security team and build our detection and response program the way an engineer would: detections as code, response as automation, evidence as something you can query. This is a role with real ownership: you'll own the detection program end to end, from what we log to how quickly we close an incident. You'll report to the head of security, partner with engineers across platform and research, and shape how this function grows from here. WHAT YOU'LL DO - Own detection and response end to end: what we log, what we alert on, how we triage and how we recover - Write and tune detections as code across multiple cloud environments, Kubernetes, identity systems, endpoints and SaaS, and measure them on coverage and precision rather than alert volume - Lead incident response from the first alert through containment and forensics, then write the post-incident review people actually read - Build automation that takes toil out of triage, including enrichment, correlation, containment actions and evidence collection, and use LLM-based tooling where it holds up under audit - Monitor AI agents and developer tooling operating inside our environment, and turn that into concrete telemetry and controls - Partner with platform and research engineers so new systems ship with logging and response playbooks in place on day one - Run threat hunts and tabletop exercises against the parts of the environment that worry you most, and fix what you find - Turn incident and detection metrics into evidence for SOC 2, ISO 27001 and enterprise customer security reviews, working with our GRC team - Participate in an on-call rotation for security incidents WHAT YOU'LL NEED - Hands-on incident response experience: you've triaged live alerts, led investigations and written up what happened afterward - Experience building and tuning detections in a modern SIEM, ideally managed as code - Working knowledge of how attackers move through cloud and Kubernetes environments (IAM abuse, container escape, credential theft, supply chain compromise) and what that leaves behind in logs - Comfort writing Python, Typescript, Rust or another language to automate response work and connect security tools - Familiarity with at least one major cloud platform and with Kubernetes at the level of audit logs, RBAC and workload identity - Clear writing. Incident timelines, detection documentation and updates to leadership are all part of the job - Judgment about what to alert on, what to automate and when to wake someone up EVEN BETTER IF YOU HAVE - Experience monitoring GPU or HPC-style infrastructure, or research environments with large datasets - Experience building detections or guardrails for AI agents, LLM tooling or MCP servers - Cloud forensics experience: disk and memory acquisition, cloud audit trail reconstruction, chain of custody - Published open source detection content Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Open to hiring remote — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv. Runway is hiring an Infrastructure Security Engineer to secure the platform our models are trained and served on. The role covers Kubernetes platform security, cloud identity and access, software supply chain, tenant isolation in the serving layer and the research infrastructure behind our models. Securing a company that trains and serves frontier video models is a different problem from securing a typical SaaS product. The environment includes research compute, large training datasets, a fast-moving build pipeline, and engineers who work inside AI-assisted tooling every day. Each of those changes what an attack looks like and what the platform has to enforce to stop it. This is a hands-on engineering role on the Security team. You'll write policy, tooling and infrastructure code, work in the platform team's repositories, and ship controls that hold up in production. WHAT YOU'LL DO - Design and ship security controls in our Kubernetes ecosystem: admission policy, RBAC, workload identity, network policy and runtime hardening across every cluster we run - Harden the software supply chain from dependency intake through build and deploy, including package firewalling, artifact signing and provenance, and admission controls that block what doesn't pass - Own cloud IAM and identity architecture: least-privilege roles, short-lived credentials and workload federation - Secure research infrastructure and training pipelines, including access to model weights and datasets, without slowing down the people using them - Threat model new platform components before they ship and turn the findings into concrete requirements the owning team can act on - Build guardrails for AI agents and developer tooling operating inside our infrastructure - Write infrastructure as code and policy as code, and treat security configuration with the same review and rollout discipline as any other change - Give the incident response team what they need when infrastructure is involved: fast answers about how a system works and what to shut off WHAT YOU'LL NEED - Hands-on experience securing Kubernetes in production: you've written admission policies, debugged RBAC and workload identity problems and understand how a cluster gets compromised - Working knowledge of cloud IAM and networking on at least one major cloud platform, including how identity federation and short-lived credentials actually work - Experience with infrastructure as code and GitOps-style deployment, and the habit of shipping security changes through the same pipeline as everything else - Comfort writing Python, Typescript, Rust or another language to build tooling, not just scripts - An understanding of software supply chain attacks and the controls that stop them: signing, provenance, SBOMs, admission enforcement - Clear writing. Design docs, threat models and explanations to engineers who don't work in security are all part of the job - Judgment about which controls to enforce, which to recommend and how to roll out a breaking change without breaking the company EVEN BETTER IF YOU HAVE - Experience securing GPU or HPC-style compute, training pipelines or research environments - Experience with policy engines and admission controllers (Kyverno, OPA Gatekeeper, Falco or similar) - Multi-tenant isolation design in a cloud environment: ABAC, scoped credentials, per-tenant boundaries - Experience producing security architecture evidence for SOC 2, ISO 27001 or other audits and customer assessments - Open source contributions or published work in cloud or Kubernetes security Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. Explore our Engineering Blog https://builders.ramp.com & Emerging Talent https://builders.ramp.com/emerging-talent Blog to learn more about how we build at Ramp and what it’s like to start your career here. ABOUT THE ROLE Ramp is, at its core, an engineering company. We’re looking for frontend and full-stack engineering interns who are excited to build intuitive, high-quality products that solve complex problems for our customers. Our ideal candidate has strong JavaScript fundamentals, an eye for great user experiences, and enjoys turning customer needs into thoughtful engineering solutions. Our frontend stack includes TypeScript, React, Vite, and Ryu, our in-house design system. WHAT YOU’LL DO - Build performant, beautiful, and intuitive interfaces for businesses with complex needs - Own meaningful projects and ship products alongside cross-functional teams - Work closely with product, design, and business teams to turn customer feedback into product improvements - Contribute to the tools, systems, and engineering practices that help Ramp scale WHAT YOU’LL NEED - Currently pursuing a B.S. or higher in Computer Science or a related technical field, graduating December 2027 or later - Strong JavaScript fundamentals and attention to visual and product details - Experience with one or more programming languages - Track record of shipping high-quality products, features, or side projects - Ability to turn product and business ideas into engineering solutions - Desire to learn quickly, take ownership, and work in a fast-paced environment NICE TO HAVES - Experience with React - Familiarity with or interest in TypeScript and modern frontend development - Interest in fintech, AI, or building products at scale COMPENSATION The monthly rate for this internship is $12,500 + a housing stipend. RAMP BENEFITS - Apple MacBook - Catered lunches and dinners in our NYC office Monday through Friday - $10/week for Coffee with a Colleague BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice