Вакансии

Задачи: — Разрабатывать и поддерживать автотесты: API, интеграционные, E2E, регрессионные; — Построение процессов тестирования, с использованием ИИ; — Проектировать тестовую стратегию и тестовые сценарии для файлового хранилища; — Проверять работу с большими и мелкими файлами, параллельными загрузками, версиями, удалением и восстановлением данных; — Тестировать разграничение прав доступа, аудит действий, безопасность файловых операций; — Проверять отказоустойчивость: сетевые сбои, недоступность сервисов, частичные ошибки загрузки, повторные операции; — Интегрировать автотесты в CI/CD, анализировать нестабильные тесты и качество релизов; — Работать вместе с backend-разработчиками, DevOps, аналитиком и ручными тестировщиками; — Участвовать в разборе инцидентов и улучшении процессов качества. Требования: — Понимание кода написанного на GO; — Умение писать скрипты Python/GO/bash; — Опыт работы с брокерами сообщений Kafka; — Опыт работы с ETCD/ClickHouse/PG; — Опыт работы с Grafana K6; — Опыт работы с ELK; — Опыт работы с docker; — Понимание основных принципов работы REST API; — Опыт работы с S3; — Тестирование файловых хранилищ; — Опыт построения процессов тестирования с использованием ИИ. Условия: — Обучение и развитие: языковые клубы, собственный корпоративный университет, программы развития управленческих навыков и многое другое; — Благополучие сотрудников: корпоративный пакет ДМС со стоматологией, корпоративный спорт, консультации психолога и дополнительные возможности аккредитованной IT-компании; — Множество сообществ: клуб спикеров, футбола, йоги, шахмат и т.д.; — Забота о семьях: создаем условия, в которых легко сочетать карьеру и заботу о близких – от гибкого подхода до масштабных проектов для детей сотрудников; — Скидки и партнерские программы: на обучение, страхование, покупки и многое другое; — Комфортная рабочая среда: бесплатное питание в офисе, современные офисы рядом с метро, корпоративная техника и портал для сотрудников.

Location: Brazil; Mexico; Colombia; Argentina; Peru; Venezuela, Bolivarian Republic of About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. About the company Our client is an innovative AI-driven marketing and business automation firm dedicated to scaling local service and retail brands. The team builds end-to-end systems that integrate content engines, AI voice agents, and CRM automation to drive revenue while reducing operational overhead. By combining human strategy with machine efficiency, they provide transparency through data-verified results and managed marketing packages that include SEO, reputation management, and high-volume social media production. Operating as a transparent, growth-oriented partner, the company focuses on delivering measurable impact for multi-location businesses, home services, and professional practitioners. The culture is built on a "product-first" mentality, prioritizing technical excellence, 24/7 support, and honest, results-based reporting. Candidates joining this fast-paced environment will work at the intersection of generative AI and business efficiency, helping to deploy cutting-edge tools that redefine how modern businesses capture and convert leads in an AI-first search landscape. Job Summary We are seeking a high-performing, results-driven Sales Professional to take full ownership of the revenue engine for a fast-growing AI-powered marketing and automation agency. This is a "player-coach" style role where you will be the primary closer for our done-for-you marketing services, helping local businesses (Home Services, Dental/Med Spas, Professional Services) scale through cutting-edge automation. If you are a GoHighLevel power user who thrives on closing deals and wants a clear path toward leading a sales organization, this is your opportunity to join an agile team at the ground floor. Key Responsibilities Execute full-cycle sales, from initial prospecting and cold calling (40–60 calls/day) to booking and running live demos. Act as the primary closer for tiered marketing and automation packages ranging from $495 to $3,997/month. Manage the entire sales pipeline within GoHighLevel (GHL), ensuring lead funnels are optimized and followed up on promptly. Translate complex marketing automation solutions into clear, value-based pitches for local business owners. Upsell existing clients into higher-tier service packages as they see initial success. Collaborate directly with the Founder to refine the sales script, lead acquisition strategy, and market positioning. Requirements Proven track record as a Closer: You must demonstrate a high close rate and a "hunter" mentality. GHL Expert: Deep familiarity with GoHighLevel and marketing automation tools is non-negotiable; you must be ready to hit the ground running without technical training. Fluent English: Excellent verbal and written communication skills are required to build trust with US-based business owners. High Volume Capacity: Comfort and experience with high-volume outbound calling and managing a busy demo calendar. Self-Starter: Ability to work independently in a remote environment with minimal oversight. Nice-to-Have Bilingual (English/Spanish): Highly preferred as the team looks to expand into Spanish-speaking markets. Agency Experience: Prior experience selling marketing services, SEO, or lead generation is a significant plus. Benefits 💰 Competitive base salary plus uncapped commission 📈 Significant residual income (15% ongoing) for long-term wealth building 🌎 100% remote work environment 🚀 Opportunity to grow into a Sales Leadership role as the team scales 🛠️ Strong backend support—buildouts and admin are handled by a dedicated partner company, allowing you to focus purely on selling 🎯 Performance-based incentives and negotiable compensation structures

Задачи: — Разрабатывать новый функционал и различные уникальные приложения для проектов в сфере недвижимости — Плотно взаимодействовать с Backend, Design, QA командами, чтобы делать качественную логику и интуитивно понятный UI/UX — Регулярно совершенствовать свои навыки и производительность своего кода – в этом помогут лиды, менторы и более 80-ти разработчиков Frontend направления — Быть хорошим командным игроком в рамках своей проектной группы (6-10 человек) Требования: — Опыт коммерческой разработки от 1 года — HTML5, CSS3 (SCSS), нативный JavaScript ES6, Nuxt SSR, Vue, Vuex Store, Scoped Styles, Webpack — Опыт оптимизации SPA и SSR приложений (Lighthouse, PageSpeed Insights) — Опыт кроссбраузерной, адаптивной, резиновой и семантической вёрстки — Опыт в создании UI/UX интерфейсов (без использования готовых ux-фреймворков), а также в их масштабировании — Применение правил линтеров (Stylelint, Eslint) — Соблюдение принципов KISS, DRY — Git Условия: — Полная занятость — График 5/2 — Формат работы: на месте работодателя, удалённо или гибрид

Задачи: — Работа над backend-системой крупного коммерческого банка. — Тестирование: 90% backend, 10% frontend. — Автоматизация тестирования: 70% автоматизированное, 30% ручное. Требования: — Опыт работы в QA от 5 лет. — Опыт автоматизации тестирования на Java от 2 лет. — Опыт тестирования mobile/web-приложений от 2 лет. — Опыт работы с REST API и интеграционным тестированием. — Работа с SQL/NoSQL-базами данных: сложные запросы и выгрузки, JOIN, VIEW. — Опыт покрытия новой функциональности автотестами на Java. — Опыт написания библиотек и инструментов для автоматизации тестирования. — Опыт работы с CI/CD: Jenkins, GitLab CI. — Опыт работы с брокерами сообщений: Kafka, RabbitMQ или аналогами. — Опыт работы с мок-сервисами: WireMock или аналогами. — Знание процессов и методологий разработки ПО. — Опыт работы с микросервисными системами: Spring Cloud, Kubernetes, OpenShift или аналогами. — Опыт развёртывания инфраструктуры. — Опыт работы с системами кеширования: Redis, Hazelcast. Условия: — Удалённая работа по РФ. — Полная занятость. — Зарплата от 250 000 до 300 000 ₽ на руки, в зависимости от опыта и пожеланий кандидата. Инструменты: Docker, Docker Compose, Jenkins, Kubernetes, SOAP UI, Postman, Jira, Confluence, Git, IntelliJ IDEA, Bitbucket.

О компании Agvend — B2B SaaS-платформа для агросектора Северной Америки. Платформа работает 8 лет и охватывает около 30% рынка ag-retail в США и Канаде. В команде примерно 150 человек, около 100 — в R&D. Команда работает полностью удалённо; для желающих доступны офисы в Канаде, США и на Кипре. Стек и инфраструктура: — Backend: Python, Django, DRF, PostgreSQL, ClickHouse, AWS. — Frontend: React, TypeScript. — Архитектура: модульный монолит — 3 крупных приложения и микросервисы-сателлиты. — Инфраструктура: 5 production-кластеров Kubernetes, около 150 тенантов, примерно 5 000 запросов в минуту. — CI/CD: CircleCI, Docker/ECR, Helm, Terraform, blue-green deployments. Задачи: — Разрабатывать функциональность от API до UI, без разделения на backend и frontend. — Отвечать за свою зону: архитектуру, code review и работу в production. — Работать с PostgreSQL и ClickHouse под нагрузкой, мультитенантной архитектурой и миллионами записей. Требования: — От 5 лет коммерческой fullstack-разработки, уровень Senior. — Production-опыт одновременно с Python/Django/DRF и React/TypeScript. — Уверенное владение Python, Django и DRF. — Опыт работы с PostgreSQL под нагрузкой. — От 2 лет работы с React и TypeScript на продуктовом уровне. — Самостоятельность: ведение своей зоны и прямая работа с PM. — Русский язык для основной рабочей коммуникации, английский на рабочем уровне. Будет плюсом: — ClickHouse и другие аналитические базы данных. — Опыт с высоконагруженными системами или в финтехе. — Навыки работы с Kubernetes, Helm, Terraform и CircleCI, включая устранение проблем в пайплайнах. — Опыт с очередями и распределёнными системами: Kafka, RabbitMQ, идемпотентность. Условия: — Команда Senior-инженеров, плоская структура: Engineering Manager и Senior IC, без техлидов. — Безлимитные отпуска. — Нет фиксированных рабочих часов. — Асинхронная коммуникация без ожидания мгновенного ответа. — Оффсайты дважды в год: Кипр и Грузия или Армения. — Бюджет на обучение, конференции и технику. — Коммуникация внутри команды на русском языке. — По данным компании, многие сотрудники работают в команде по 5–6 лет.

Требования: — 5+ лет профессионального опыта в разработке ПО — Глубокие знания backend-разработки — Уверенный React, опыт с Angular — PostgreSQL: проектирование схем, оптимизация запросов, миграции

Задачи: — Разрабатывать и поддерживать backend-сервисы, API и внутренние инструменты, используемые командами разработки продуктов — Улучшать инфраструктуру для распределения компонентов, управления активами, документации и рабочих процессов релизов — Поддерживать и развивать инженерный монорепозиторий, улучшая масштабируемость, сопровождаемость и опыт разработчиков — Сотрудничать с frontend-инженерами и дизайнерами для обеспечения единообразного внедрения общих паттернов и инструментов в продуктах — Вносить вклад в CI/CD пайплайны, автоматизацию, тестирование и процессы деплоя с использованием GitHub Actions — Повышать надежность и производительность внутренних систем, включая наблюдаемость и мониторинг — Поддерживать инженеров в командах продуктов в вопросах внедрения и интеграции общих инструментов и сервисов — Вносить вклад в документацию и инструменты для разработчиков для улучшения обнаруживаемости и адаптации — Работать над текущими улучшениями платформы, включая миграцию устаревшего кода и инструментов, улучшения платформы документации, автоматизацию и инструменты песочницы — Участвовать в архитектурных обсуждениях и предлагать практичные, масштабируемые инженерные решения Требования: — Опыт работы с JavaScript или TypeScript в продуктивных средах — Хорошее понимание принципов backend-разработки и опыт создания API или внутренних сервисов — Знание Node.js и современных веб-фреймворков, таких как React или Next.js — Опыт работы с реляционными базами данных и понимание основ проектирования баз данных — Понимание практик тестирования и принципов качества ПО — Знакомство с CI/CD рабочими процессами и инструментами для разработчиков — Опыт работы с Git и совместными инженерными процессами — Сильные коммуникативные навыки и умение работать кросс-функционально с дизайнерами и инженерами — Интерес к опыту разработчиков, платформенной инженерии или внутренним инструментам Преимущества: — Опыт работы в продуктовой SaaS-компании — Знакомство с инфраструктурой frontend или инструментами общей платформы — Знание инструментов наблюдаемости и мониторинга — Опыт работы с монорепозиториями или внутренними платформенными инструментами — Степень в области компьютерных наук или смежной технической области Условия: — Полностью удалённая работа — Возможность работать из Великобритании, Ирландии, Германии, Португалии, Испании или Нидерландов

Задачи: — Тестировать мобильное приложение. — Прорабатывать тестовую стратегию по новым функциональностям. — Подготавливать тест-кейсы, чек-листы и тестовые сценарии. — Проводить функциональное, регрессионное и интеграционное тестирование. — Разрабатывать и поддерживать автотесты для мобильного приложения. — Поддерживать UI-, API- и screenshot-тесты. — Интегрировать автотесты в CI/CD-процессы. — Анализировать результаты прогонов автотестов и причины падений. — Работать с логами, API, БД, брокерами сообщений и мок-сервисами для проверки end-to-end сценариев. — Заводить, анализировать и сопровождать дефекты до исправления. — Участвовать в планировании релизов и контроле качества поставок. — Проводить code review автотестов. — Помогать команде улучшать процессы тестирования. — Менторить QA-инженеров и помогать им развиваться технически. — Взаимодействовать с разработчиками, аналитиками, backend-командами и владельцами продукта. Требования: — Опыт тестирования mobile-приложений от трех лет (Android + iOS). — Опыт работы с Rest API. — Опыт работы с SQL/NoSQL БД на уровне сложных запросов и выгрузок. — Опыт покрытия новых функциональностей при помощи инструментов автотестирования Java от двух лет. — Опыт работы с интеграционным тестированием. — Опыт работы с CI/CD (Jenkins, GitLab CI). — Опыт работы с брокерами сообщений (Kafka, RabbitMQ, аналоги). — Опыт работы с мок-сервисами (Wiremock или аналоги). — Опыт работы с SOAP UI, Postman, Jira, Confluence, Git, IntelliJ IDEA, Bitbucket. Условия: — Локация: РФ. — Формат работы: Удаленно. — Зарплата: 250 000–280 000 ₽ на руки.

Условия и бонусы: Фултайм, офис (Алматы). Наши ожидания: – Опыт коммерческой iOS-разработки от 3 лет. – Уверенное знание Swift, SwiftUI / UIKit. – Combine / async-await, понимание многопоточности. – Знание архитектурных подходов: MVVM / Clean Architecture. – Работа с REST API, интеграция мобильного приложения с backend-сервисами. – Понимание локального хранения данных и offline/error-сценариев. – Понимание безопасности мобильных приложений: Keychain, биометрия, безопасное хранение данных. – Git, CI/CD. – Опыт подготовки и публикации приложений в App Store. – Умение использовать AI-инструменты в разработке с обязательной проверкой результата.

Location: Remote, Canada; Remote, United States 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. An overview of this role As a Senior Backend Engineer on GitLab's Security Factory: Code Security team, you help developers find and fix security issues. Those issues live in the code they write and in the open source components they depend on. Your work spans complementary parts of a complete security analysis. On the dependency analysis side, you teach the analysis engine what a project depends on. You parse dependency manifests, lockfiles, and SBOMs so the engine knows which libraries and frameworks are in play and how the code uses them. You also extend the service that turns security advisories into automated merge requests that update vulnerable dependencies. On the vulnerability detection side, you grow GitLab's security analysis engine with hybrid analyzers that blend rule-based detection and AI reasoning. You build and apply the tooling that develops, evaluates, and ships those analyzers, and you measure how well they find real problems. That work also expands coverage of the libraries, frameworks, and AI agent tooling that real-world applications are built on. These threads reinforce each other. What a project depends on, and how its code uses those dependencies, are parts of one picture, and this team works across all of it. We make thoughtful use of AI-assisted development tools in our daily work. We expect you to use them effectively and with good judgment. What you do Act as the directly responsible individual (DRI) for team initiatives from design through delivery, shipping with minimal guidance in partnership with the technical lead Bring systems built by one engineer to team ownership through documentation, tests, and shared review Design and ship analyzers that pair deterministic analysis capabilities with AI-driven analysis, and build the evaluation harnesses that measure their false positives and missed findings against benchmark applications with known vulnerabilities, raising the bar for what counts as a trustworthy result. That includes detection rules mapped to CWE and the test fixtures that prove they work. Package those analyzers for every place GitLab runs them, including CI jobs, AI agent workflows, and command-line tools, with findings reported in GitLab's standard security report formats Design and ship the manifest, lockfile, and SBOM parsing that tells the static analysis engine what a project depends on, and extend it to new ecosystems and formats Ship features across the automated remediation service that turns security advisories into dependency update merge requests, from sandboxed updates to merge request creation Solve technical problems of high scope and complexity, actively seek out difficult impediments affecting the whole team, and advocate for improvements to quality, security, and performance with Product Management, Engineering stakeholders such as Frontend and UX, and partner teams such as Code Scanning and Composition Analysis Mentor Intermediate engineers through code review and pairing, and maintain our internal standards for style, maintainability, and best practices through review Participate in on-call rotations to assist troubleshooting product operations, security operations, and urgent engineering issues Take part in on-call or operational support where your team’s ownership model requires it What you bring Experience building your own LLM tooling, such as a harness, an agent pipeline, or evaluations, with the judgment to know when output is trustworthy and when it isn't Substantial professional experience writing and testing production code in a systems language, particularly Go and/or Rust, with depth in at least one. We use both, plus Ruby on the remediation side and Python for some analyzers, and value willingness to work across them. Familiarity with package managers and dependency management in one or more language ecosystems, such as npm, Maven, pip, Bundler, or Cargo. Experience building tooling around them is better still. Demonstrated application security experience, such as vulnerability research, secure code review, or writing detection rules, and fluency with vulnerability classes (OWASP Top 10, CWE) and the software supply chain A track record of taking ownership of ambiguous problems and shipping with minimal guidance, with the self-motivation and organizational skills suited to a remote, largely asynchronous environment Demonstrated capacity to communicate clearly and concisely about technical problems, and to write design proposals that bring a team to a decision Helpful experience Experience evaluating AI-driven detection against labeled data, including measuring false positives and missed findings Experience with performance optimization at scale Hands-on program analysis experience, such as parsing, ASTs, or data-flow analysis Familiarity with popular web or mobile application frameworks and how they handle input, data, and configuration Experience with containerized workflows and CI/CD (we use Docker heavily) About the team The Security Factory: Code Security team builds GitLab's code-level security scanning capabilities, spanning static application security testing and dependency scanning. We help developers find and fix security issues in both the code they write and the open source components they depend on, as early as possible. We work closely with the Static Analysis team on GitLab's SAST engines, with Composition Analysis on the broader software supply chain, and with other groups across the Sec Section. We rely heavily on asynchronous work across time zones. Remote-Global The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $139,200 — $235,200 USD 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: Remote, Canada; Remote, Israel; Remote, United Kingdom; Remote, United States 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. An overview of this role As a Staff Backend Engineer on GitLab's Security Factory: Code Scanning team, you help developers find and fix security issues. Those issues live in the code they write, and you set the technical direction for the static analysis engine that finds them. Your work spans two complementary parts of a complete security analysis. On the engine side, you shape how the static analysis toolkit models a program: parsing source into intermediate representations, resolving symbols, building call graphs, and tracking tainted data across files and languages. You define the architecture and specifications the team builds against, and you delegate component specifications within them to engineers and to the AI agents that implement them. On the evaluation side, you build and apply tooling that tests, measures, and validates what the engine finds against benchmark applications with known vulnerabilities. What the engine can model and how we measure what it finds are parts of one picture. As a Staff engineer you hold that picture, shape the long-range technical goals of the team, and raise the bar for every engineer on it. We build the engine with AI agents that write and review code from written specifications, under human direction. We expect you to direct that work effectively and with good judgment, and to help the team do the same. What you do Act as the directly responsible individual (DRI) for the team's highest-scope initiatives from design through delivery, shipping large features with minimal guidance and shaping the long-range goals of the team Bring systems built by one engineer to team ownership through documentation, tests, and shared review Set the technical direction for the AI-assisted tooling that implements, reviews, and validates engine changes and findings, design the checks that decide whether an agent-written change or generated result is fit to merge, and measure detection quality against benchmark applications with known vulnerabilities, raising the bar for what counts as a trustworthy result. That includes static application security testing (SAST) rules mapped to CWE and OWASP, and the test fixtures that prove they work. Own the architecture of the program model (parsing, symbol resolution, intermediate representations, call graphs, and taint and data-flow analysis) and of the pipeline that turns source code into findings, and define how both extend to new languages and frameworks Solve technical problems of the highest scope and complexity, actively seek out difficult impediments affecting the whole team, and advocate for improvements to quality, security, and performance with Product Management, UX, and partner teams such as Code Security and Composition Analysis Mentor all engineers on the team through code review and pairing, remove blockers to their autonomy, and shepherd the definition and improvement of our internal standards through review Participate in on-call rotations to assist troubleshooting product operations, security operations, and urgent engineering issues Define the overarching architecture and specification documents for the engine, delegate component specifications within them, and drive their implementation by AI agents and engineers working independently through phased plans, small reviewable units of change, and specifications kept in lockstep with the code Build and maintain the harness, agent instructions, and agentic skills that keep agent-written code trustworthy, including separate coding and reviewing agents, rules and tests the coding agents cannot change, independent review panels of agents from different model providers, and performance, API, and dependency gates, with risky changes escalated to human review Stay current with research in program analysis and security, run AI-assisted research and spikes, and turn the findings into prototypes, proposals, and upstream contributions, including responsible disclosure of findings in open source projects Take part in on-call or operational support where your team’s ownership model requires it What you bring Experience building your own LLM tooling, such as a harness, an agent pipeline, or evaluations, with the judgment to know when output is trustworthy and when it isn't Extensive professional experience writing, testing, and reviewing production code in Rust, Go, or a comparable systems language, with depth in at least one. The engine is Rust, the analyzer wrapper is Go, and the monolith integration is Ruby, and we value willingness to work across them. Experience with performance optimization and with containerized workflows and CI/CD (we use Docker heavily) A deep program analysis and static analysis background, such as parsing and ASTs, intermediate representations (SSA, control-flow and call graphs), taint and data-flow analysis, type inference, incremental and fixpoint computation, or writing detection rules, with the ability to read, evaluate, and apply the research literature Deep application security experience, such as vulnerability research, secure code review, or writing detection rules, and fluency with vulnerability classes (OWASP Top 10, CWE) Demonstrated capacity to communicate clearly and concisely about complex technical, architectural, and organizational problems, and to write architecture and design specifications that bring a team to a decision A track record of taking ownership of ambiguous, team-wide problems and shipping them from concept to production with minimal guidance, with specific, regular async updates on progress, blockers, risks, and next steps Experience defining a system's overarching architecture, delegating component specifications to engineers and AI agents, and getting them implemented reliably A track record of mentoring engineers, raising a team's technical bar, and influencing technical direction by achieving consensus with peers and leadership Helpful experience Familiarity with popular web or mobile application frameworks and how they handle input, data, and configuration Experience designing guardrails for agent-written code, such as mutation testing, fuzzing, and CI gates the coding agent cannot modify A record of engaging with the research community, such as publications, tool papers, or upstream open source contributions in program analysis or security About the team The Security Factory: Code Scanning team develops GitLab's SAST capabilities for customer software repositories. We work closely with the Code Security team on scanning rules & flows, with Composition Analysis on the broader software supply chain, and with other groups across the Sec Section. We rely heavily on asynchronous work across time zones. Remote-Global The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $152,800 — $259,200 USD 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: Remote - Brazil Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Principal Presales Engineer, Product Specialist. About the job This position is needed to partner closely with sales, solutions engineering, and enterprise strategists to consult on complex, multi-product opportunities. You will scope, design, and validate how complex multi-product solutions fit into the client’s ecosystem and help paint the long-term Twilio vision for our customers. You will be a critical partner cross-functionally, working with product, engineering, and marketing to identify and share technology patterns and shifts from our clients (and prospects) to influence product strategy. Responsibilities In this role, you’ll: Develop your expertise of the Twilio platform, use cases and buyer personas, while keeping up with industry trends in Voice + AI Scope, design, and build multi-product solution architecture and compelling presentations to secure the Technical Win Support core sales and solutions engineering team members on value-selling strategies and complex solution sales Design and validate scalable, secure, multi-product messaging architectures aligned to customer ecosystems and long-term Twilio adoption. Partner with Sales, Solutions Engineers, and Enterprise Strategists to drive technical validation and secure the technical win in complex sales cycles. Document recent patterns and technology shifts with our clients and prospects to influence Product and R&D strategy and roadmap via GTM interlock and PDLC processes Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: Hands-on experience designing and validating Conversational AI or LLM-driven architectures (e.g., integrating OpenAI, Dialogflow, or similar models via APIs). Experience leading pre-sales or solution architecture engagements, including scoping, design, and technical validation in both Portuguese and English language. Strong background in API-based, event-driven systems, with hands-on experience using REST APIs and webhooks. Working knowledge of at least one backend language such as Node.js or Python, with prior software development or equivalent experience. Demonstrated expertise in messaging platforms, including throughput management, retry strategies, and deliverability optimization. Ability to communicate complex technical concepts clearly to technical and executive audiences. Strong collaboration and influencing skills across sales, engineering, and product stakeholders. Desired: Experience working in an overlay or specialist pre-sales capacity. Experience collaborating with Product on roadmap or positioning. Prior exposure to Twilio products or other CPaaS platforms. Business-level proficiency in Spanish. Location This role will be remote, and based in Brazil. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 15% travel is anticipated to help you connect in-person in a meaningful way. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: San Francisco; New York Workplace: Hybrid About Alchemy Alchemy is the Web3 infrastructure and developer platform that powers millions of users and the world’s most innovative blockchain applications. From enabling $1+ trillion in financial transactions worldwide to scaling L2s and enabling DeFi, Alchemy provides the infrastructure and tools developers need to build reliable, scalable, and accessible experiences. Trusted by companies like JPMorgan, Stripe, Visa, Franklin Templeton, Nike, and backed by a16z, Coatue, Silver Lake, Lightspeed, and Stanford University, Alchemy is building the foundational layer for a decentralized and AI-enabled Web3 ecosystem. For more information, visit alchemy.com http://alchemy.com. THE ROLE We are hiring a software engineer on the Developer Experience team. You will own projects from the first problem statement through production, and measure whether they worked. The team owns how developers discover, adopt, and operate Alchemy: the dashboard, APIs, SDKs, CLI, and MCP server that sit between our infrastructure and the people building on it. A growing share of those users are coding agents, so we design for both. Recent work spans enterprise controls, management APIs, developer observability, onboarding, and self-serve growth. Ahead of us is the shift to agents that discover tools, write code, pay for services with x402, and operate onchain infrastructure on their own. Our stack: TypeScript, Node.js, React, PostgreSQL, Temporal, Kafka, AWS, and Kubernetes. WHAT YOU WILL WORK ON - Agent-native developer tools: our CLI, SDKs, MCP server, x402 payments, and Agent Wallets. - Enterprise capabilities for teams running production traffic: organizations, roles, SSO, key management, audit history, and spend controls. - Public and management APIs for usage, billing, apps, and teams, used by developers, internal tools, and coding agents. - Developer observability and product quality: usage analytics, request logs, alerts, and the reliability of the surfaces developers use every day. WHAT YOU WILL DO - Own projects from problem definition through design, launch, measurement, and on-call. - Design APIs with clear versioning, error handling, safe defaults, and backwards compatibility. - Build data models and services that stay correct and reliable as traffic and customer needs grow, with security built in for users, agents, and services. - Build the user-facing side of your features across our dashboard, CLI, and SDKs, so developers and coding agents can discover and use them safely. - Instrument what you ship. Use activation, adoption, and conversion data, plus direct developer feedback, to decide what to build next. - Write design docs, runbooks, and developer-facing documentation. Review code and technical designs to keep quality high. - Work with Product, Billing, Security, Growth, and other engineering teams. WHAT SUCCESS LOOKS LIKE At six months, you have: - Execution: Scoped, designed and shipped a project across our APIs, backend services, and dashboard or CLI, and paying customers use it in production. - Ownership: Joined on-call and handled incidents in your area without escalating. Your launches ship with alerts, a runbook and a rollback plan. - Impact: Moved a number you can name, such as feature adoption, free-to-paid upgrades, time to first API call, or support tickets. - Team: Earned the team’s trust by making sound technical decisions, collaborating across functions, and improving code and design quality. - Direction: Proposed what the team should build next, backed by usage data and conversations with developers. HELPFUL EXPERIENCE - Blockchain experience is helpful, not required. - Developer platforms, API products, cloud consoles, or enterprise developer tools, including SDKs, CLIs, MCP servers, agent tools, or machine-readable documentation. - Billing, metering, or pricing systems. - Temporal or another workflow orchestration system, plus caching and analytical data systems. - Observability, incident response, and performance optimization. - Blockchain products or developer tools, or agent payment and identity standards such as x402. - Open source contributions, talks, or technical writing. BENEFITS & PERKS 🏥 Private Health Insurance 💪 Gym Reimbursement 🚅 Commuter Benefits 🌴 Flexible Time Off 🥙 In-Office Group Meals 🧠 Learning & Development Stipend 🌎 Company Sponsored Conferences & Events 🎧 Books & Audiobook subscription with Bookster https://landing.bookster.ro/

Location: Remote, Global ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We are seeking a Platform Software Engineer with deep experience in distributed systems to help design, build, and maintain core platform services. You will work primarily in TypeScript and Go to deliver reliable, scalable, and secure systems that power Supabase at massive scale. WHAT YOU'LL BE DOING: - Design and implement distributed services and APIs that power the Supabase Platform. - Lead projects that improve scalability, reliability, and cost efficiency across existing systems. - Build data-intensive workflows, background jobs, and event-driven pipelines. - Own service SLIs/SLOs and collaborate on incident response and post-incident reviews. - Improve system observability with metrics, logging, tracing, and profiling. - Contribute to our CI/CD and release processes to ship safely and quickly. - Partner with product teams to deliver features end-to-end, from design docs to production. - Write clear design documents, RFCs, and high-quality tests. WHAT WE'RE LOOKING FOR: - Experienced in designing and operating distributed systems, with strong foundations in consistency, fault tolerance, partitioning, consensus, and back pressure. - Proficient in TypeScript and/or Go, ideally with 5+ years building production services in one or both languages (other languages also considered). - Comfortable with cloud infrastructure (AWS preferred) and container orchestration. - Familiar with multi-tenant architectures, API design, and data modelling. - Knowledgeable about networking fundamentals and security best practices. - Experienced with Infrastructure as Code (Pulumi preferred; Terraform/CDK also fine). - Comfortable participating in on-call rotations for large-scale production systems. NICE TO HAVE: - Experience with Postgres internals, logical replication, or CDC pipelines. - Experience with service meshes, workload identity, or zero-trust networking. - Background in performance engineering and capacity planning. - Open source contributions in systems, databases, or runtime tooling. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Задачи: — Функциональное, интеграционное и API-тестирование микросервисов транспортных компаний, работа с курьерской доставкой и выдачей на ПВЗ, подготовка тестовой модели и тест-кейсов, автоматизация регрессионных проверок API на Python. — Тестирование процесса декомпозиции монолитного PHP-приложения и переноса бизнес-функциональности в микросервисы на Go. — Проверка сохранения текущего поведения системы, API-контрактов, интеграций, корректности миграции и обработки данных. — Проведение функционального, интеграционного, регрессионного и сквозного тестирования. — Выявление расхождений между монолитом и новой микросервисной реализацией. Требования: — Общий опыт работы: от 3 лет в тестировании backend-сервисов, API и интеграций между корпоративными системами. — Опыт по требуемому стеку/направлению: API-тестирование — от 3 лет; тестирование микросервисов — от 3 лет; SQL/PostgreSQL — от 2 лет; тестирование асинхронных процессов и очередей/worker-компонентов — от 2 лет; Docker/Kubernetes — от 1 года; Jira/Confluence/GitLab — от 1 года. — Релевантный проектный опыт: не менее трех коммерческих проектов уровня Enterprise. — Обязателен опыт тестирования микросервисной архитектуры, API-контрактов, интеграций с legacy-системами, асинхронной обработки, retry-логики, обработки ошибок внешних систем, идемпотентности и повторной выдачи результатов. — Отраслевой опыт: e-commerce, транспортная логистика, складская логистика. — Обязательные технологии/инструменты: Python для автотестов, pytest или аналогичный Python-фреймворк, REST API, Postman/Insomnia или аналоги, Swagger/OpenAPI, PostgreSQL, SQL, JSON/JSONB, GitLab, Jira, Confluence, Docker, Kubernetes, S3-совместимое хранилище, инструменты анализа логов и мониторинга. — Желательные технологии/инструменты: опыт написания unit/integration/contract-тестов, RestAssured/Newman или аналоги, Kafka или RabbitMQ, Redis, MinIO, Grafana, Prometheus, OpenTelemetry, Allure/TestRail/Zephyr, Charles/Fiddler, PlantUML/C4. — Системы учета задач и документации: Jira, Confluence, GitLab. — Необходимо вести тест-кейсы, чек-листы, дефекты, результаты тестовых прогонов, фиксировать тестовые данные и ежедневно предоставлять отчет о проделанной работе в согласованном канале коммуникации. Условия: — Формат работы: удаленно по РФ. — Занятость: проектная, долгосрочный проект (фултайм). — Оформление: ГПХ, ИП. — Зарплата: до 1500 ₽ в час гросс. Откликаться: @KM_Alexander_Uvarov

В рамках данной позиции предстоит заниматься тестированием микрофронтов и проверкой корректности реализации ролевых моделей с различными правами доступа пользователей. В задачи входит тестирование пользовательских интерфейсов на соответствие требованиям UI/UX, а также проверка контрактов между Frontend и Backend и между микросервисами через REST API. Необходимо контролировать бизнес-логику микросервисов, корректность обработки операций из блокчейн-сети, а также целостность и неизменность записей транзакций в блокчейне. Важной частью работы является проверка механизмов оффчейн-сбора консенсуса, что критично для цифровых финансовых активов. Требуется высшее техническое образование и уверенное владение SQL, включая базовые команды, JOIN-ы, вложенные запросы и фильтрацию данных. Кандидат должен хорошо разбираться в REST API, включая методы, коды ответов, авторизацию и работу с JSON/XML. Опыт разработки автотестов на Java с использованием TestNG обязателен. Необходимо уметь работать с инструментами мониторинга, такими как Kibana, Grafana или Zabbix, для чтения логов и метрик. Требуется базовое понимание интеграции с блокчейн-сетями и опыт подготовки тестовой документации, включая тест-кейсы, чек-листы и отчеты о дефектах. Также важен опыт настройки и конфигурирования тестовых сред, включая поднятие стендов и обновление конфигураций, а также практический опыт создания эмуляторов и заглушек с помощью Wiremock. Дополнительным преимуществом будет опыт тестирования блокчейн-решений или финансовых платформ, знание основ криптографии и управления ключами, опыт работы с микросервисной архитектурой и Kubernetes/OpenShift, а также тестирование асинхронных взаимодействий через Kafka или очереди сообщений. Знание BDD-подхода с использованием Cucumber и Gherkin также приветствуется. Работа может выполняться удаленно.

Задачи: — Составлять сценарии тестирования и чек-листы по проверкам — Проводить ручное, автоматизированное, нагрузочное тестирование приложений — Фиксировать и описывать найденные ошибки или некорректное поведение, контролировать их исправление — Отвечать за качество продукта — Оценивать риски, которые могут повлиять на ход ведения проекта, принимать меры для их снижения — Осуществлять коммуникацию с бизнес-заказчиками, менеджерами, разработчиками и аналитиками для быстрой локализации дефектов — Оперативно информировать коллег о ходе работ по задачам — Проводить демо реализованного функционала перед заказчиком Требования: — Знание методов и методик тестирования — Опыт работы со средствами автоматизированного тестирования ПО и написания автотестов от 3-х лет — Опыт тестирования web-приложений (frontend & backend) — Базовые знание SQL, опыт работы с БД (в том числе NoSQL) — Базовые знания любого из языков программирования — Опыт администрирования UNIX/Windows ОС — Понимание работы сетевых протоколов взаимодействия — Понимание работы брокера сообщений — Опыт работы с системами мониторинга и логирования (Grafana) — Английский язык на уровне чтения технической документации — Навыки подготовки презентационных материалов и демонстрации решения заказчику — Опыт подготовки проектной документации Будет плюсом: — Опыт построения или улучшения процесса CI/CD — Знание протоколов SIP, SMPP, IMAP, POP3, SMTP, WebRTC, WebSocket — Опыт работы с брокером NATS — Опыт работы с БД YDB, ClickHouse — Опыт работы тестировщиком в Agile командах

Location: San Francisco, CA | New York City, NY 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. Note: this job post is for Fullstack Software Engineers only. If you are a Backend Engineer, please see our Backend Software Engineer post here . About the role We are looking for fullstack 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. We have multiple teams that are currently hiring within Safeguards. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers where they'll have the greatest impact and growth potential. Responsibilities: Design and build the internal review tools analysts use to investigate abuse — dashboards, case queues, and evidence viewers that make high-volume, high-stakes decisions fast and accurate. Build the interfaces where humans supervise agents: streaming output, interruption and approval flows, and clear provenance for every action an agent takes. Surface abuse patterns to our research teams through the visualizations and exploration tools that make emerging patterns legible. Own the frontend architecture for tools handling sensitive data at scale — performance under large datasets, correctness under real-time updates, and access controls enforced end to end. You may be a good fit if you have: A Bachelor’s degree in Computer Science, Software Engineering or comparable experience Proficiency in TypeScript and modern React; comfortable in Python for backend work The 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, not including internships or co-ops Have experience building data-dense internal tools or operator interfaces, not just marketing or consumer surfaces 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: $405,000 — $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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.