Вакансии

Задачи: — Функциональное тестирование сложных сценариев, включая проверку микрофронтов и корректности работы ролевых моделей с разными правами доступа. — Тестирование интерфейсов (UI/UX) на соответствие требованиям. — Проверка контрактов между Frontend и Backend, а также между микросервисами (REST API). — Проверка внутренней бизнес-логики микросервисов. — Проверка корректности вычитывания операций из блокчейн-сети. — Проверка записей транзакций в блокчейн, контроль целостности и неизменяемости. — Проверка механик оффчейн-сбора консенсуса. — Написание и поддержка автотестов на Java (TestNG). — Разработка эмуляторов и заглушек (Wiremock) для изолированного тестирования микросервисов. — Настройка и конфигурирование тестовых сред. — Работа с инструментами мониторинга для анализа поведения системы под нагрузкой и в штатном режиме. — Подготовка тестовой документации и отчетов по качеству продукта. Требования: — Опыт от 3 до 5 лет на позиции тестировщика (функциональное/интеграционное тестирование). — Высшее техническое образование. — Уверенное владение SQL (все базовые команды, JOIN-ы, вложенные запросы, фильтрация данных). — Глубокое понимание REST API (методы, коды ответов, авторизация, работа с JSON/XML). — Опыт разработки автотестов на Java с использованием TestNG. — Опыт работы с инструментами мониторинга (Kibana, Grafana, Zabbix или аналоги), умение читать логи и метрики. — Базовое понимание принципов интеграции с блокчейн-сетями. — Опыт подготовки тестовой документации (тест-кейсы, чек-листы, отчеты о дефектах). — Опыт настройки и конфигурирования тестовых сред (поднятие стендов, обновление конфигов). — Практический опыт разработки эмуляторов/заглушек (Wiremock). Будет преимуществом: — Опыт тестирования блокчейн-решений или финансовых платформ. — Понимание основ криптографии и управления ключами. — Опыт работы с микросервисной архитектурой и Kubernetes/OpenShift. — Опыт тестирования асинхронных взаимодействий (Kafka, очереди сообщений). — Знание BDD-подхода (Cucumber, Gherkin). Условия: — Участие в инновационном проекте федерального уровня в быстрорастущем сегменте ЦФА. — Официальное трудоустройство по ТК РФ, полностью «белая» заработная плата. — ДМС на сотрудника и детей после испытательного срока. — Работа в сильной команде экспертов с прозрачной системой постановки задач. — Возможность профессионального роста и изучения блокчейн-технологий (онбординг, менторство).

- experience leading engineering teams, with a strong backend background. - understanding of high-load systems (Go, Python, MySQL, Kubernetes).

- Разрабатывать и поддерживать backend на Java; - Реализовывать и интегрировать REST API;

Location: Global - Remote; United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Software Engineer We build the infrastructure that frontier AI labs use to evaluate coding agents and language models: benchmark datasets, agent evaluation runs at scale, and automated task quality checks. You would own features across the stack, from the data model and background jobs to the screens our users work in every day. This is a role for an experienced engineer who works independently, makes sound tradeoffs, and turns a loosely defined request into something shipped, tested, and safe to leave alone. What you will do Design and ship features end to end: data model, API, background workers, and the UI when the change needs it. Build and improve how agents and models are evaluated: running trials in sandboxed environments, scoring results, and turning thousands of runs into results people can trust. Improve how benchmark tasks are quality-checked: verifiers, rubric-based and LLM-as-a-judge grading, and deciding whether a task is clear, solvable, and fair to score. Integrate new models, agents, and benchmarks in a way that generalizes, without a special case for each one. Keep the system fast and reliable as usage grows: efficient queries, safe migrations, and concurrency that holds up under load. Review teammates’ pull requests against our engineering guidelines and help keep the codebase consistent. What you bring 5+ years building and operating production backend systems, with ownership of at least one service from design through on-call. Bachelor’s degree or higher in Software Engineering, Computer Science, or a related field. Strong Python and experience with Django (or a similar framework), PostgreSQL, and a task queue such as Celery. What matters most is having run a real system, not knowing a particular framework. Hands-on experience in LLM evaluation, beyond calling a model API. You understand how a benchmark task is built, how an agent trial is scored, and how results are aggregated and compared. Experience with Harbor, Terminal-Bench, SWE-bench, Inspect, or a similar harness is a strong plus. Judgment about task quality. You can spot ambiguous instructions, weak or gameable verifiers, leaked answers, and checks that pass for the wrong reason. Good tradeoffs. You reach for the smallest design that solves the problem, extend what already exists before adding something new, and can explain what you chose not to build. Ownership. You take a fuzzy request, find the relevant code, ask questions only when the answer changes the design, and finish the job, including migrations, tests, and edge cases users will hit. Quick adoption of team conventions. You read the written guidelines and your first pull requests already match them in naming, structure, tests, and error handling. Comfort with a TypeScript and React frontend when a change is visible there. You don’t need to be a frontend specialist. Clear writing. Your pull request descriptions and design notes explain why, not just what. Nice to have Experience running agents in sandboxed or containerized environments (Docker, Kubernetes, or cloud sandboxes such as Modal or Daytona). Experience with LLM-as-a-judge or rubric-based grading, and with reducing judge bias and noise. Familiarity with coding agents such as Claude Code, Codex, or OpenHands, and with MCP. Experience with distributed job scheduling, concurrency limits, or database locking at scale. Contributions to open-source evaluation or infrastructure projects. How we work Written engineering guidelines, applied consistently, with the same review bar for everyone. Business logic lives in services. Hot paths stay cheap. Lint and tests pass before a pull request is ready. The same vocabulary in the code, the API, and the UI. We prefer deleting code to adding it, and simple designs to clever ones. A strong first month looks like several changes merged with light review, and one area of the system you can change confidently without a guide. Compensation: $xxx,000 - $xxx,000 Base Salary + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. Fanatics is building one of the most ambitious connected fan platforms in sports… a truly single ecosystem where millions of fans earn, spend, engage, and belong across commerce, betting and gaming, collectibles, live events, credit card and more. The glue holding that ecosystem together is great design, a great loyalty program and single identity: a coherent, trustworthy, delightful experience that feels like one Fanatics regardless of where a fan enters, that their engagement feels rewarding and connected to everything they do. About the Role As a Senior Product Designer, you will be operating across the Loyalty layer of the Fanatics Ecosystem — this includes Loyalty itself, Identity (account, log-in, customer profile) and our SDK (which enables us to launch experiences across our various platforms seamlessly). Loyalty is the core of the customer experience, it's how we reward customers for their fandom across every touchpoint in our apps. Your initial focus will be on improving upon our existing Loyalty infrastructure and taking key elements like rewards, Fanatics ONE, and FanCash to the next level giving them a reason to keep coming back. This is a hands-on Senior role. You'll own design for key features within the pod, ship the work yourself, and help raise the design bar for the team around you. What You'll Own Deep end-to-end design on key features for Fanatics ONE, FanCash, and Rewards — from fostering early concepts through launch and iteration. Well-scoped projects and features that you drive to outcomes with guidance from design leadership, partnering with PM and Engineering on scope and tradeoffs. Contributions to the FanApp design system: using existing patterns well and proposing new components for rewards, offers, and other Loyalty surfaces that other pods can adopt. Prototyping as a way to decide, including in code or the app where useful, using AI tools to explore and validate real behavior against real data and backend constraints. Quality for your own work: bringing it to critique and delivering clear, well-redlined handoffs to engineering. Peer feedback and support for designers on and around the pod. How You'll Work You'll partner closely with the Loyalty pod's Product Manager and Engineering Manager, sitting inside the pod rather than serving it from a distance. You'll also work with other designers in the Fanatics Ecosystem to keep your area's patterns coherent across. This is a role that touches not one app, but multiple. Being able to represent the ecosystem through collaboration with designers, product managers, and engineers in other lines of the business is key to your success. What Success Looks Like Usability, accessibility, and comprehension scores on core flows Speed and confidence of cross-tenant experience delivery Features that ship with a high craft bar and hold up at the edges. Patterns you design that get reused elsewhere in the app because they're good Trusted partnerships with your PM and engineering counterparts. What We're Looking For 4+ years in Product Design, with experience owning features or a product area end to end Experience in relevant domains; loyalty, rewarding, membership, account for consumer-facing companies Systems thinking - you've designed with and contributed to design systems, and you know when to reuse a pattern versus create a new one Prototyping fluency, and comfort using AI tools to move faster without losing rigor Experience giving thoughtful feedback to peers and taking part in design critique Comfort in a mobile-first, fast-moving consumer environment where the roadmap can be ambiguous and priorities shift Design Craft You design complete flows, not just screens - you can hold your whole area in your head without losing the individual moment. You care deeply about visual and interaction quality, and you know when to simplify and unify rather than add another pattern. You prototype fluently enough to settle debates with a demo instead of a deck. You understand data and backend realities well enough to design interactions that are feasible, resilient, and predictable at the edges. Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $147,000 — $194,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Take early People products to production and grow them into a suite of experiences, across standalone products, plugins, and everyday tools, that move from answers and insights to personalized guidance, proactive support, and approved actions.

Location: Mexico; Brazil; Costa Rica; Argentina; Colombia; Bolivia, Plurinational State of The Product Engineer will design, develop, and improve customer-facing features for a fast-growing digital marketplace. This role combines full-stack software development, product ownership, and problem-solving to deliver scalable solutions that enhance the user experience. The ideal candidate is a hands-on engineer who enjoys building products from concept to production, working independently, and using modern AI technologies to accelerate development. This position requires strong backend expertise in Python and Django, solid frontend development skills, and the ability to make practical technical decisions in a fast-paced startup environment. Responsibilities Design, build, and launch new product features from concept to production. Develop and maintain backend applications using Python, Django, and PostgreSQL. Build and improve responsive, user-friendly interfaces using JavaScript, HTML, CSS, and modern frontend technologies. Take ownership of the full development lifecycle, including architecture, implementation, testing, deployment, and maintenance. Integrate AI models, APIs, and automation tools into existing and new product features. Identify and resolve performance bottlenecks, optimize database queries, and improve application scalability. Maintain and improve existing systems by troubleshooting issues, refactoring code, and implementing technical improvements. Collaborate with product stakeholders to translate business requirements into functional, customer-facing solutions. Leverage AI-assisted development tools to improve coding efficiency while maintaining code quality. Work independently, prioritize effectively, and deliver high-quality solutions in a distributed startup environment. Requirements 3–6 years of professional experience in full-stack software development, preferably building SaaS platforms or customer-facing web applications. Strong hands-on experience with Python, Django, and PostgreSQL in production environments. Solid frontend development skills using JavaScript, HTML, CSS, and modern frameworks such as React. Demonstrated experience building and shipping complete product features independently. Experience developing and integrating REST APIs and third-party services. Practical experience integrating large language models (LLMs) or AI-powered functionality into applications. Strong understanding of database optimization, application performance, and scalable backend architecture. Experience using AI-assisted coding tools such as Claude Code, Cursor, or similar technologies. Previous experience working in startups, scale-ups, or small product-focused engineering teams. Strong problem-solving skills, technical ownership, and ability to work with minimal supervision. Advanced English communication skills (C1 or equivalent). Preferred Experience with React, Next.js, and TypeScript. Familiarity with OpenAI APIs, RAG, AI agents, and AI workflow automation. Experience with Redis, WebSockets, asynchronous processing, or real-time applications. Knowledge of AWS, Docker, CI/CD pipelines, and cloud infrastructure. Experience building or scaling SaaS products, marketplaces, or high-traffic platforms. Familiarity with payment integrations, third-party APIs, and workflow automation. Experience working with Figma or collaborating directly with product designers. Experience improving legacy systems, refactoring codebases, and optimizing database performance. Benefits Salary: $4,000 to $4,500 USD per month Performance Bonus — annual cash bonus tied to company growth (13th-month pay). PTO: 2 weeks Setup: Fully Remote

Сбор, анализ и формализация бизнес-требований, перевод их на язык разработки;

Задачи: — разрабатывать компоненты веб-приложений на React/TypeScript — интегрировать клиентскую часть с backend-сервисами по REST API — проектировать архитектурные решения и оценивать задачи командой — проводить code review — создавать удобные интерфейсы, самостоятельно принимая UX-решения. Требования: — опыт коммерческой разработки frontend-приложений от 3 лет — владение JavaScript/TypeScript (ES6+) и понимание современных стандартов языка — опыт работы с библиотекой React.js и с экосистемой React (компоненты, хуки) — опыт работы со стейт-менеджментом (Redux Toolkit и аналогичные решения) — опыт работы с системами контроля версий (Git/GitFlow) — опыт проектирования сервисов и самостоятельной проработки реализаций. Будет плюсом: — знание инструментов AI для анализа, генерации и автоматизации кода — опыт написания end-to-end тестов — опыт работы с дизайн-системами — опыт настройки CI/CD-процессов для фронтенд-проектов — опыт работы в командах с применением Agile. Условия: — офис рядом с м. Кожуховская — график 3/3 (дневные и ночные смены) — ежегодный пересмотр зарплаты и годовая премия — более 400 образовательных программ СберУниверситета для профессионального и карьерного развития — расширенный ДМС, льготное страхование для семьи — гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ — подписка Прайм с возможностью совместного использования на трёх близких — вознаграждение за рекомендацию друзей в команду Сбера.

Location: Wrocław, Poland; Sofia, Bulgaria; Porto, Portugal New opportunities in Europe! 🟢 Dev.Pro is a US-based software development company helping tech companies build their products and grow their business. We’re remote-first, and we work with independent contractors in over 55 countries, so you’d be collaborating in a multicultural environment on some really interesting projects. We invite an Junior Software Engineer with hands-on experience in Angular and Node.js to join our team. In this role, you’ll help build and maintain cloud-based enterprise applications, contributing across both frontend and backend. You'll collaborate closely with engineers and cross-functional teams to deliver new features, enhance existing solutions, and support ongoing product improvements. 🟩 What's in it for you: Work on enterprise-scale applications used by businesses worldwide, gaining exposure to the Point of Sale (POS) and payment processing industry Contribute to impactful features across the frontend and backend while expanding your full-stack development expertise Join a collaborative engineering environment that encourages knowledge-sharing and professional growth ✅ Is that you? 1.5+ years of experience as a Full-Stack Software Engineer Strong experience building frontend applications with Angular and TypeScript Some experience with Node.js for backend development Experience working with payment systems or understanding of payment processing workflows Experience integrating with hardware devices or working with hardware-related systems Understanding of integrations between frontend and backend components Experience working with relational databases (SQLite or similar) Experience writing unit tests and following code quality best practices Strong problem-solving and communication skills, with the ability to collaborate across teams Upper-Intermediate English level Desirable: Familiarity with cloud environments, preferably AWS Familiarity with payment systems or payment processing workflows 🧩 Key responsibilities and your contribution In this role, you'll use your full-stack expertise to improve our client’s cloud-based restaurant management platform, enhancing its features to better serve small and medium-sized businesses. Develop, maintain, and enhance enterprise applications using Angular and Node.js, delivering functionality across both frontend and backend Develop and integrate APIs to support communication between application components and services Investigate, troubleshoot, and resolve technical issues across the application stack Collaborate with engineers, QA, and other cross-functional team members to coordinate work and deliver reliable, well-integrated solutions Participate in technical discussions, contribute to implementation approaches, and maintain relevant technical documentation Contribute to code quality, maintainability, and continuous improvement of development practices Our next steps: ✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Interview — ✅ Signing the Contract Interested? Find out more: 📋 How to Join Us 💻 LinkedIn Page 📈 Our website 💻 IG Page By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data . I agree to have my Personal Data being stored and processed by Dev.Pro.

Задачи: — Создавать мобильные приложения от идеи до релиза, используя AI-инструменты для ускорения разработки и проверки гипотез. — Собирать и уточнять требования совместно с Product Manager. — Прорабатывать технические решения и декомпозировать задачи. — Подбирать инструменты и технологии, включая AI-инструменты и coding agents. — Разрабатывать frontend на iOS, при необходимости backend и интеграции. — Проверять работоспособность, тестировать гипотезы и исправлять ошибки. — Настраивать CI/CD и автоматизировать сборку. — Подготавливать релиз, деплоить приложение и публиковать его в App Store. — Поддерживать и развивать выпущенные приложения на основе обратной связи и результатов проверки гипотез. — Работать над 2-3 проектами параллельно. Условия: — Заработная плата до 320 000 ₽ за месяц, на руки. — Компания Evrone занимается продуктовой разработкой стартапов и цифровой трансформацией бизнеса в России, США и Европе. — Основные рынки продуктов: США, Канада, Великобритания, Австралия и Новая Зеландия. — В работе мобильные приложения для массового рынка по подписочной модели (Health & Nutrition, Astrology, крипто-симуляторы, QR-сканеры, PDF-компрессоры, трекеры сна и другие subscription-продукты). — Процессы включают ежедневные дейли, недельное планирование и спринт-ревью, совместное обсуждение функциональности и релизов с Product Manager, возможность корректировать объём работ от спринта к спринту. Этапы рекрутинга: — HR-интервью (мотивация, soft-skills, технический блиц-опрос и т.д.). — Проверка реальности опыта (понадобятся подтверждающие документы на опыт в резюме). — Техническое интервью. — Интервью с проектным лидом и оффер.

Location: Brazil Workplace: Remote Location: Remote (LATAM) Employment Type: Full-time Contractor   ABOUT THE CLIENT A fast-growing, creator-powered social and monetization platform empowering creators, artists, and brands to engage their audiences, monetize digital content, and build direct, high-value fan relationships. We operate at the intersection of consumer social, digital media, creator monetization, and agentic AI. MISSION Lead reliable, secure, and cost-effective cloud operations so Fanbase teams can release with confidence and creators can rely on the platform. THE ROLE The project needs clear ownership of its infrastructure, deployment workflows, and production readiness across web, mobile, and backend services. As a hands-on technical lead, you’ll strengthen AWS operations and incident response while partnering with the Principal Platform Engineer on architecture and shared engineering standards. You’ll also guide operational priorities and coach engineers, helping the team improve reliability without slowing delivery. WHAT YOU’LL ACHIEVE IN 12–18 MONTHS - Establish clear service objectives, actionable alerts, and incident ownership. - Improve deployment frequency, change failure rate, and recovery time against established baselines. - Validate backup restoration and disaster recovery against agreed recovery targets. - Improve cloud cost efficiency, access controls, and infrastructure consistency. WHAT YOU’LL DO - Own AWS operations, infrastructure as code, CI/CD, environment configuration, and tested rollback procedures. - Lead on-call planning, incident coordination, observability, and capacity planning; ensure incident reviews lead to meaningful follow-up. - Strengthen IAM, secrets management, patching, backups, recovery drills, and cloud cost controls in partnership with Security and Engineering. - Set operational priorities, coach engineers, and maintain clear, useful runbooks. - Coordinate release readiness with QA and product teams. WHAT YOU’LL BRING - 6+ years of DevOps, SRE, or cloud engineering experience, including technical leadership and ownership of production incidents. - Hands-on experience with AWS, Linux, networking, infrastructure as code, CI/CD, and scripting. - Experience with Terraform or OpenTofu and GitHub Actions is preferred. - Experience setting service objectives and improving monitoring, disaster recovery, security controls, and cloud cost management. AWS certification is preferred. - Software development and automation experience, including the ability to build and debug code independently with or without AI coding tools. - Effective use of AI assistants and agents, with the judgment to review and test generated changes, protect sensitive data, and remain accountable for production operations. WHAT SUCCESS LOOKS LIKE IN YOUR FIRST 90 DAYS Days 1–30: Audit infrastructure, incidents, access controls, delivery workflows, and cloud spend. Days 31–60: Define service objectives and on-call plans, then address a high-priority operational gap. Days 61–90: Test rollback and restoration procedures and present a roadmap for reliability and cost improvements. REPORTING AND PARTNERSHIPS Reports to the Head of Engineering and leads delivery while coaching assigned engineers. Partners closely with the Principal Platform Engineer, Security, QA, and service owners. WHY JOIN Build the operational foundation that helps Fanbase deliver faster and gives creators a platform they can depend on.   JOIN US AND ENJOY THESE PERKS! - Competitive Salary: Earn a USD salary that matches your skills and experience. - Paid Time Off: Generous PTO to support your work-life balance and recharge. - Health Insurance Subsidy: Financial assistance to support your healthcare coverage. - Annual Salary Reviews: Structured annual evaluations to recognize and reward performance. - Paid Training & Certifications: Continuous support for professional growth and upskilling. Ready to put your puzzle-solving skills to the test? Join our team today! LinkedIn: Puzzle Instagram: @puzzle.tech http://puzzle.tech_

Location: New York, NY; Pittsburgh, PA Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems , running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. About the role We are looking for an experienced AI Research Engineer to join our Speech team. The ideal candidate will have a proven track record as an AI research engineer, with experience across various machine learning techniques, and a particular focus on speech modeling: ASR, TTS, speech-to-speech models, audio tokenization, and more. They will have experience at all levels of the ML stack, including feature engineering, developing training data, fine-tuning, reinforcement learning, benchmarks and evaluations, deployment, and monitoring. On the Speech team, we’re training custom models to understand the speech of non-native learners, working closely to support product teams working on features like Video Call and the learning path. You will... Join a full-stack team of frontend, backend, and other AI Research engineers, fostering a collaborative and innovative work environment. Contribute to the development and training of speech models and large-scale neural network models. Collaborate with cross-functional teams to understand their needs, to align the models’ outputs with company objectives. Participate in and help drive strategic product and business decision making as a member of the Speech leadership group. Stay up-to-date with the latest developments in machine learning, particularly in speech models, and apply this knowledge to drive advancements in our projects. Mentor team members, providing guidance and support in their professional development. Ensure the delivery of high-quality, scalable, and efficient machine learning solutions. You have... Proven experience as an AI research engineer, for example, in speech recognition, TTS, LLMs, or related fields. Strong background in training and fine-tuning large models in an applied setting. Advanced degree in Computer Science, Engineering, or a related field with a focus on machine learning or artificial intelligence, or equivalent experience. Excellent leadership and communication skills, with the ability to manage and inspire a team. Deep understanding of machine learning concepts, frameworks, and best practices. The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: $220,800 — $331,200 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

The Web Applications Programmer is responsible for the programming and implementation of user interface, web service, and database applications for the external facing web site, employee Intranet and components that integrate third-party systems with our web applications and host system.

Ищем React Native-разработчика, который сможет самостоятельно вести функциональные модули и участвовать в технических решениях. Чем предстоит заниматься:

Location: Remote (Caribbean) Workplace: Remote ABOUT CLIPBOARD Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S. Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities. OVERVIEW 📍 Remote - Caribbean Want to sit at the intersection of Support, Engineering, and Product? Clipboard is hiring Technical Support Engineers (TSEs) to act as the primary escalation layer for technical issues across our platform. You'll own the investigation, reproduction, and - where applicable- agent-assisted fix implementation that turns noisy customer reports into validated, high-signal work, so Engineering only receives production-ready problems for final review. This is a hands-on, high-ownership role for people who love digging into hard problems with real diagnostic tools, who care about getting to the root cause rather than just clearing a queue, and who want their investigations to directly protect platform reliability for hundreds of thousands of healthcare workers and the facilities that depend on them. WHAT YOU'LL DO - Monitor escalation channels and the Technical Support queue in Zendesk, catching early signals of systemic problems before they reach customers - Investigate complex product, platform, and data-layer issues using tools like Datadog, internal dashboards, and SQL, reproducing bugs and producing evidence-backed escalations to Engineering. - Handle live incidents end-to-end, from detection to closure: React to an incident with urgency, coordinate across Support, Engineering, and Product, and keep stakeholders updated with clear, structured communication - Implement fixes where appropriate, testing your changes before handing off to Engineering for final review and sign-off - Perform Root Cause Analysis and post-incident reviews, translating each issue into learnings that reduce recurrence and improve monitoring - Maintain operational workflows (geofence, facility quizzes, NFC) accurately and quickly while spotting trends for prevention - Capture investigative learnings in clear troubleshooting guides and documentation, and submit structured proposals that turn recurring patterns into actionable improvements - Uphold our values such as unreasonably fast, ownership, and uncomfortably high standards in every interaction WHO WE'RE LOOKING FOR - Technical Fluency - You're comfortable investigating issues with observability tools (e.g., Datadog), writing SQL to interrogate data, and reasoning about APIs, backend configurations, and feature toggles. You can tell the difference between a UI, data, and code-level problem. - Diagnostic Rigor - Every investigation you produce is thorough, evidence-based, and reproducible. You rule out config and data causes before escalating, and your write-ups are clear enough for another engineer to pick up without rework. - End-to-End Ownership - You own problems from first report to confirmed resolution, including stakeholder updates and follow-through, with no gaps between hand-offs. - Composure Under Pressure - You stay structured and calm during live incidents, balancing speed with accuracy and communicating clearly when stakes are high. - Adaptability & Prioritization - You juggle structured work (incidents, bugs, workflows) with unplanned high-priority requests without letting SLAs slip. - Systems & Prevention Thinking - You treat every issue as a chance to learn, identifying gaps in monitoring, tooling, or process and proposing fixes that prevent recurrence. - Fluent, professional-level English communication, both written and verbal. NICE TO HAVE - Experience with observability and analytics tooling (Datadog, Sentry, Snowflake, or similar) - Familiarity with SQL and reading application logs - Background in technical support, SRE, incident response, or a related engineering-adjacent function - Exposure to AI-assisted coding/agent tooling - Experience in Ops, Support, or CX environments at scale HIRING PROCESS - Application Review - Skills Assessment via Case Study - Case Interview with Tech Support Team Lead - Interview with Head of Worker Experience Important Note: Clipboard operates 24/7. Team members work 5 days within a 7-day schedule, including weekend availability. Shifts are assigned based on business needs. Quick Note on Scammers: Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.

Location: Remote (APAC) Workplace: Remote ABOUT CLIPBOARD Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S. Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities. OVERVIEW 📍 Remote - APAC Want to sit at the intersection of Support, Engineering, and Product? Clipboard is hiring Technical Support Engineers (TSEs) to act as the primary escalation layer for technical issues across our platform. You'll own the investigation, reproduction, and - where applicable- agent-assisted fix implementation that turns noisy customer reports into validated, high-signal work, so Engineering only receives production-ready problems for final review. This is a hands-on, high-ownership role for people who love digging into hard problems with real diagnostic tools, who care about getting to the root cause rather than just clearing a queue, and who want their investigations to directly protect platform reliability for hundreds of thousands of healthcare workers and the facilities that depend on them. WHAT YOU'LL DO - Monitor escalation channels and the Technical Support queue in Zendesk, catching early signals of systemic problems before they reach customers - Investigate complex product, platform, and data-layer issues using tools like Datadog, internal dashboards, and SQL, reproducing bugs and producing evidence-backed escalations to Engineering. - Handle live incidents end-to-end, from detection to closure: React to an incident with urgency, coordinate across Support, Engineering, and Product, and keep stakeholders updated with clear, structured communication - Implement fixes where appropriate, testing your changes before handing off to Engineering for final review and sign-off - Perform Root Cause Analysis and post-incident reviews, translating each issue into learnings that reduce recurrence and improve monitoring - Maintain operational workflows (geofence, facility quizzes, NFC) accurately and quickly while spotting trends for prevention - Capture investigative learnings in clear troubleshooting guides and documentation, and submit structured proposals that turn recurring patterns into actionable improvements - Uphold our values such as unreasonably fast, ownership, and uncomfortably high standards in every interaction WHO WE'RE LOOKING FOR - Technical Fluency - You're comfortable investigating issues with observability tools (e.g., Datadog), writing SQL to interrogate data, and reasoning about APIs, backend configurations, and feature toggles. You can tell the difference between a UI, data, and code-level problem. - Diagnostic Rigor - Every investigation you produce is thorough, evidence-based, and reproducible. You rule out config and data causes before escalating, and your write-ups are clear enough for another engineer to pick up without rework. - End-to-End Ownership - You own problems from first report to confirmed resolution, including stakeholder updates and follow-through, with no gaps between hand-offs. - Composure Under Pressure - You stay structured and calm during live incidents, balancing speed with accuracy and communicating clearly when stakes are high. - Adaptability & Prioritization - You juggle structured work (incidents, bugs, workflows) with unplanned high-priority requests without letting SLAs slip. - Systems & Prevention Thinking - You treat every issue as a chance to learn, identifying gaps in monitoring, tooling, or process and proposing fixes that prevent recurrence. - Fluent, professional-level English communication, both written and verbal. NICE TO HAVE - Experience with observability and analytics tooling (Datadog, Sentry, Snowflake, or similar) - Familiarity with SQL and reading application logs - Background in technical support, SRE, incident response, or a related engineering-adjacent function - Exposure to AI-assisted coding/agent tooling - Experience in Ops, Support, or CX environments at scale HIRING PROCESS - Application Review - Skills Assessment via Case Study - Case Interview with Tech Support Team Lead - Interview with Head of Worker Experience Important Note: Clipboard operates 24/7. Team members work 5 days within a 7-day schedule, including weekend availability. Shifts are assigned based on business needs. Quick Note on Scammers: Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.

As a Senior Observability Engineer on our Observability Platform team, you will contribute to the architecture and development of our observability platform across bare-metal servers, virtual machines, Linux, Kubernetes, GPU clusters, network infrastructure, and cloud-native applications.