Вакансии

Задачи: — DevOps-инженер с опытом в Blockchain и AI-инфраструктуре (биометрия / Computer Vision). Требования: — 1+ год опыта с AI-инфраструктурой (биометрия / Computer Vision). — 1+ год опыта с Blockchain инфраструктурой. — 1+ год работы с Bare metal Kubernetes. — 1+ год работы с Nvidia GPU (Cuda, TensorRT). — 6+ лет общий опыт работы в роли DevOps Engineer. — Гражданство РФ (проживать можно в любой стране в зоне UTC+3). — Только fulltime, без совмещения, аутсорсинг и аутстаффинг не рассматриваются. — Не подходит опыт технических менеджеров (Team Lead, CTO и т.п.). — Не подходит опыт фриланса. Условия: — Полностью удалённый формат работы. — Только полная занятость. — Оформление по ТК РФ. — 100% оплата больничного. — Оплачиваемый отпуск 28 календарных дней. — Компания аккредитована в «Минцифре». — Работа в продуктовой компании.

Location: Belfast, Northern Ireland, Remote Workplace: remote Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalised and profitable guest experiences. As a result, our digital ordering, payment, and guest engagement solutions enable brands to do more with less and make every guest feel like a regular. While our roots are in NYC, we’re intentionally investing in Belfast and Northern Ireland as a key hub, with an established leadership presence, a local team, and community for the long term. This role is fully remote, offering you flexibility to work from anywhere within NI. Your new role With the brand-new Olo app launching later this year, you’ll play an integral part in shaping next-gen features and bringing our post-MVP vision to life while also gathering feedback from the fast-growing user base and fixing bugs they report. You’ll help us plan for the feature roadmap of the app and provide input in the direction of both the iOS and Android codebases. You’ll have the support of a dedicated Mobile Engineering Manager for the Olo app and work alongside four highly experienced mobile engineers, three of whom are based in Northern Ireland. How you'll make an impact Here’s how your day-to-day might look but, like most mission driven tech companies, no two days are exactly the same! Demonstrate proficiency in the team's domain and technology stack, providing guidance and mentorship to junior engineers and contributing to technical decision-making. Proactively address technical debt by prioritising its resolution alongside feature development, ensuring maintainable, scalable, and high-quality codebases through regular refactoring and system improvements. Take ownership of complex features and projects, working independently and collaborating with team members to drive development from concept to delivery. Lead code reviews, sets quality standards, and offers in-depth feedback to improve code quality across the team. Partner with Product and other stakeholders to refine requirements, ensuring solutions are well-architected and aligned with business goals. Focus on delivering reliable, maintainable software solutions and actively implements performance optimisations and resilience mechanisms. Monitor and maintain services in production, diagnosing and resolving critical issues efficiently with minimal support. Participate in the architecture and design of distributed systems, ensuring best practices are followed for reliability and scalability. Take the initiative to improve the team's development processes and tooling, advocating for best practices and automation improvements. Ensure consistency and quality in shared components and APIs. Contribute actively to the team's knowledge base, lead learning sessions, and promote a culture of continuous improvement. Use Claude Code as part of your daily workflow, and grow your skills through hands-on AI training designed to help you become highly effective with modern AI coding agents and IDEs. Demonstrate ownership of the team's delivery pipeline, ensuring that code quality, testing standards, and deployment practices are continuously optimised. Active participation in on-call duties is required, with specific responsibilities determined by your assigned team and area of expertise. What will set you up for success Bachelor’s Degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. 5+ years of experience in software engineering, specifically focused on native mobile developement Advanced proficiency in native iOS mobile development using Swift and experience independently designing and implementing complex algorithms and architectures. Skill in managing and improving CI/CD processes, with hands-on experience using tools like GitHub Actions. Experience with unit, integration, and end-to-end testing practices, with a strong emphasis on automation for testing and deployment. Leadership skills such as mentoring peers, leading technical discussions, and collaborating effectively across teams and departments to deliver solutions aligned with business priorities. About Olo Olo is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 800 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology’s positive impact and creating a world where every restaurant guest feels like a regular. Learn more at olo.com Applicant Privacy Notice (United Kingdom)

Location: Serbia; Almaty; Armenia Workplace: remote ABOUT YOU We're looking for an experienced Technical Animator who is passionate about bringing quadruped characters to life with realistic, believable movement in Unreal Engine. You have a strong understanding of animal biomechanics and locomotion, and you're confident working across the full animation pipeline — from rigging and Control Rig setup to fully optimized, production-ready animation systems for multiplayer gameplay. ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. RESPONSIBILITIES Develop and maintain animation systems for quadruped characters Set up Animation Blueprints, State Machines, Blend Spaces, Animation Layers Create and configure IK/FK, Full Body IK, and procedural animation systems Set up locomotion: walk, trot, canter, gallop, turns, starts/stops, jumps Configure blending, additive animations, sync groups, and transitions Work with IK Rig / IK Retargeter and adapt animations between different skeletons Work with motion capture data, cleanup, and retargeting Create and maintain Control Rig tools Fix foot sliding, popping, IK, and blending artifacts Optimize Animation Blueprints, Control Rig, and skeletal animation systems Develop and maintain animation systems for multiplayer projects Work with networked locomotion, prediction, and reconciliation Synchronize Montages and locomotion states in networked gameplay Collaborate with animators, game designers, and programmers Develop and improve the animation pipeline and internal tools REQUIREMENTS 5+ years of experience in technical animation / gameplay animation Hands-on experience with quadruped characters Portfolio with quadruped animation examples — required Strong knowledge of Unreal Engine: Animation Blueprints, Control Rig, IK Rig / Retargeter, Blend Spaces, State Machines Solid understanding of animal biomechanics and quadruped locomotion Experience with rigging, skinning, and skeleton setup Experience with motion capture pipelines Experience with Maya, MotionBuilder, or a similar DCC tool Understanding of root motion, animation curves, notifies, montages, additive animation Experience debugging and optimizing animation systems Understanding of the differences between local and replicated character state Understanding of which animation states/variables should be calculated locally versus driven by replicated gameplay state Understanding of latency, desync, animation popping issues, and ways to minimize them Conversational English Experience working on AA or AAA game projects NICE TO HAVE Experience animating large quadrupeds (not just domestic animals, but heavy/massive locomotion) Motion Matching / Pose Search Full Body IK / procedural locomotion Python / scripting C++ in Unreal Building animation tools Experience optimizing NPC crowds / large numbers of skeletal meshes Benefits   We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees through a comprehensive Benefits Program. This includes unlimited Flexible Time Off and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.   The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.   By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially.   Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.   For any inquiries related to data privacy, please contact: careers@xsolla.com   Explore more opportunities at: https://xsolla.com/careers

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role   As an Applied Engineering Intern, you will work closely with our Applied AI Engineering team to facilitate the adoption of Mistral AI products among customers and collaborate with them to address complex technical challenges. This role is based in Paris, with an internship duration of 6 months. We are open to CIFRE programs as a continuation after the internship.   What you will do   • Contribute to the deployment of state-of-the-art GenAI applications, driving technological transformation with our customers. • Collaborate with researchers, AI engineers, and product engineers on complex customer projects. • Work with the product and science team to continuously improve our product and model capabilities based on customer feedback.   How We Work in Applied AI   - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it.   About you   • You are currently pursuing a degree in AI, data science, or a related field from a tier 1 engineering school or university. • You have strong programming skills in Python. • You are familiar with machine learning algorithms and natural language processing techniques. • You hold basic understanding of MLOps and deploying machine learning use cases. • You have good communication skills with the ability to explain technical concepts to both technical and non-technical audiences.   Ideally you have: • Experience with deep learning frameworks such as PyTorch. • Familiarity with version control systems (e.g., Git) and Linux shell environment. • Experience working in HPC Environments • Publication record in AI or a related field Location & work authorization: This internship is available only in France. Please apply only if you have the required work authorization to complete the internship in the relevant country for its full duration.   WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About 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. As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models. Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability. You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise. Responsibilities Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements. Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows. Provide white glove deployment support for Anthropic products in enterprise environments. Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams. Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks. Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement. Travel frequently (25-50%) to customer sites to build in person with customers. Be a champion for Anthropic’s mission in the field. You May Be a Good Fit If You Have 4+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting or product experience. Former technical founders are also encouraged to apply. Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale. Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications High agency with an ability to navigate ambiguity present in complex organizations. High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity. Passion for advancing safe, beneficial AI systems through creative technical applications. Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach. A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus. Experience with enterprise IT systems and/or AI deployment patterns is a plus. 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: £225,000 — £255,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Barcelona, Spain Workplace: hybrid About seQura seQura provides innovative, flexible and easy-to-use payment technologies that help merchants acquire, convert and retain more customers. We make a difference in sales performance by tailoring our solutions to different sectors, to address their unique pain points and deliver superior results in Retail, Education, Eyewear, Repairs and Travel. We also empower smart shopping to consumers who seek more value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest-free credit, or pay in small, comfortable installments of up to 24 months. Born in Barcelona, seQura is a privately-owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR. Over 6000 businesses, almost 3 million shoppers, and almost 400 employees continue to rate us as one of the most loved and trusted fintechs out there, with an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.1/5. About the role 🤓 We’re looking for a Senior Product Builder who wants to own product problems, not just engineering tasks. You’ll work across the full lifecycle of B2B initiatives: understand → shape → build → ship → measure → iterate This is not a frontend or backend-specific role. Our main stack is Ruby on Rails and React, but we care more about strong engineering fundamentals, product judgment and the ability to work across the stack when needed. You won’t receive a perfectly specified backlog. You’ll be expected to help create the work: understand merchants and the business, challenge assumptions, work through ambiguity and decide with the team what is worth building. How we build at seQura 🤖 AI-assisted development is how our engineers work every day. We use AI agents to think through problems, write, review and iterate on code, and we're looking for engineers who already work this way, or are actively making the shift. What matters to us isn't whether you know the syntax and idioms of your preferred programming language or tech stack by heart. It's whether you understand the problem you're solving, can explain the business logic behind it, and own every line you ship, no matter who (or what) wrote it first. AI helps you move faster, challenge assumptions, explore different approaches and improve your solutions. But knowing which questions to ask, making sound technical and product decisions, and taking responsibility for the outcome is always up to you. Our technical interviews reflect this approach: you'll use your own AI tools, and we'll ask you to walk us through your solution, both the business reasoning and the code. If you're only interested in technical challenges without engaging in the product decisions behind them, or you'd rather not work with AI, this probably isn't the right role for you. About the Merchant Experience team 🧩 We build the B2B product experiences that help merchants manage and grow their business with seQura. The team owns merchant-facing products and the platform behind them, including order management, analytics, self-service capabilities, growth initiatives and platform features used by other B2B teams. We are a small team of senior Product Engineers and a Product Designer, with no dedicated Product Manager by design . Engineers are expected to contribute beyond implementation: understanding problems, shaping opportunities, making product and technical decisions, shipping solutions and checking their outcomes. Initiatives are led by engineers who take ownership of a problem, gather context, define the hypothesis and success criteria, shape the work, drive delivery and follow up after launch. AI-assisted development is part of our daily workflow. As implementation gets faster, we expect engineers to spend more of their judgment on what to build, why it matters and what we learn from it . What challenges you'll be solving 🚀 Own product initiatives end-to-end, from problem understanding to outcome validation. Act as Champion for initiatives: gather context, define hypotheses and success criteria, shape the work and drive it forward. Work directly with merchants, business stakeholders, Product Design and other engineering teams when needed. Build and operate production software across backend and frontend. Make pragmatic product and technical decisions with incomplete information. Use data, feedback and experiments to decide whether to iterate, change direction or stop. Contribute to evolving Merchant Portal into a platform other B2B teams can build on. Use AI throughout your workflow, including exploration, implementation, testing, debugging and learning unfamiliar systems. What to expect in the next 90 days 🏁 Month 1 Learn the B2B domain, Merchant Portal, codebase and current initiatives. Shadow a Champion, meet key stakeholders and start contributing. Month 2 Own a small initiative with support from the team, from understanding the problem to shipping it. Month 3 Act as Champion for an initiative: frame the problem, define the hypothesis and success criteria, ship a solution and check the outcome. What you’ll need 🤝 Must have: 7+ years of experience building production software. Strong software engineering fundamentals. Experience owning work beyond implementation. Comfortable working across backend and frontend when needed. Comfortable working with ambiguity and incomplete information. Strong product and customer curiosity. High autonomy, ownership and accountability. Comfortable working directly with stakeholders and other teams. Experience using AI meaningfully in your software development workflow. Strong written and verbal communication skills in English. Nice to have: Experience with Ruby on Rails and/or React. Strong full-stack experience. Experience building platforms or capabilities used by other teams. Experience with product discovery, experimentation or success metrics. Spanish fluency. What we offer 😎 We have a strong and sustainable foundation, where we provide a secure and reliable workplace. You have the freedom and trust to make the best contribution possible. One of our most valued strengths by our employees is our fellowship and supportive culture, which fosters a sense of belonging by working closely with our values. With us, you will have challenging projects to work on and push your skills and knowledge. In addition, we are very proud of the unique office we have, which offers a comfortable and inspiring environment to work in with everything you need. 23 vacation days + 2 days of free disposal per year. Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee. Health insurance discounts Flexible working hours. A personal budget for professional development. Hybrid or fully remote work. Office workshops and meet-ups to encourage community participation and career growth. Moreover, we have a Wellness Program that embraces a holistic approach by covering 6 areas (occupational, physical, financial, emotional, social, and environmental consciousness). Each area will include a variety of activities, and you'll be able to choose from 34 different activities that best meet your needs to configure a plan that best works for you. Which are the next steps? 🙌 Interview with our People Team. Technical take-home challenge. Live peer review of the challenge. Meet the team. We kindly ask that you submit your CV in English, as it is the official language of our community. We promote equal opportunity to all, regardless of age, color, gender identity, medical condition, physical or mental disability, race, religion, sexual orientation, or any other characteristic. We have an inclusive environment, and respect is above all. Do you want to be part of the change? Join us!👇

Задачи: — Развивать платформу для расчёта ML-признаков в batch-, streaming- и nearline-сценариях; — Строить и поддерживать пайплайны для исторических расчётов, backfill и обновления признаков; — Собирать обучающие датасеты так, чтобы в них не попадали данные «из будущего».

Компания IBS — ведущий российский системный интегратор и разработчик цифровых решений для крупных компаний и государственного сектора. Вакансия инженера по нагрузочному тестированию в команде, работающей над масштабной HR-платформой с 230 000 активных пользователей и более 40 приложений на одной платформе. Задачи: — Разработка средств нагрузочного тестирования: скриптов, эмуляторов, утилит генерации тестовых данных. — Создание заглушек для изолированного тестирования компонентов. — Построение отчетов о выполненном нагрузочном тестировании. — Анализ результатов, выявление узких мест и проблем производительности. — Коммуникация с командой разработчиков и тестировщиков для уточнения сценариев и локализации проблем. — Участие в планировании нагрузочных тестов и выборе стратегии тестирования. Требования: — Опыт от 6 месяцев коммерческого опыта в нагрузочном тестировании. — Знание теории тестирования: виды нагрузочного тестирования и их назначение. — Знание основных метрик производительности (время ответа, пропускная способность, количество одновременных пользователей, загрузка CPU/памяти). — Понимание назначения мониторинга при нагрузочном тестировании. — Уверенное владение JMeter, знание типов элементов и порядка их исполнения. — Опыт работы с системами мониторинга Grafana и Prometheus. — Базовые знания командной строки Linux. — Знание SQL на уровне понимания JOIN, GROUP BY, функций агрегирования. — Понимание работы HTTP и REST API. Будет преимуществом: — Опыт нагрузочного тестирования крупных высоконагруженных систем. — Опыт тестирования микросервисной архитектуры. — Навыки написания скриптов на Python и Shell для автоматизации. — Опыт работы с очередями Kafka, RabbitMQ и базами данных под нагрузкой. — Понимание принципов работы с Kubernetes и OpenShift. Условия: — Полная занятость, 5/2. — Официальное трудоустройство по ТК РФ. — ДМС после испытательного срока на сотрудника и детей. — Работа над уникальной HR-платформой с сотнями тысяч пользователей. — Профессиональное развитие и обмен опытом в сильной команде.

Задачи: — Составление тест-кейсов по функционалу (анализ требований, проектирование тестов). — Проведение ручного тестирования: проверка нового функционала и регрессионное тестирование. — Автоматизация тест-кейсов на Python (PyTest). — Тестирование API — проверка контрактов между сервисами, работа с JSON. — Написание и выполнение SQL-запросов для проверки данных в базе данных. — Анализ логов (Kibana) для поиска причин ошибок. — Взаимодействие с разработчиками и аналитиками для уточнения требований. Требования: — Опыт от 6 месяцев коммерческого автоматизированного тестирования. — Преобладание опыта тестирования backend (API, JSON, SQL, DevTools). — Уверенное знание PyTest (фикстуры, параметризация, маркеры). — Общее владение Python: циклы, базовые алгоритмы, типы данных, методы, функции, классы. — Владение базовыми SQL-запросами (до JOIN из нескольких таблиц). — Умение описывать и создавать тест-кейсы для автоматизации. — Навык интеграционного тестирования. — Навык чтения логов (Kibana). — Понимание клиент-серверной архитектуры. — Знание протокола HTTP, методов и кодов статусов. — Внимание к деталям, системное мышление, ответственность, самостоятельность, коммуникабельность. — Желание развиваться в автоматизации тестирования. Преимущества: — Опыт тестирования ERP-систем, HR-продуктов или сложных веб-приложений. — Понимание процессов управления персоналом (подбор, обучение, кадровый учет). — Опыт работы с PostgreSQL. — Опыт написания автотестов на API (requests, aiohttp). — Знание Git. — Опыт работы в крупных компаниях или финансовом секторе. Условия: — Официальное трудоустройство по ТК РФ. — ДМС на сотрудника и детей. — Работа над продуктом, используемым десятками тысяч сотрудников. — Прозрачная система постановки задач и профессиональная команда. Как мы работаем: — Проект развивается по гибким методологиям Scrum/Kanban. — Тесное взаимодействие с разработчиками, аналитиками и владельцами продукта. — Четкие процессы с открытостью к улучшениям и инициативам.

О компании: AI HealthTech стартап создает продукты, которые трансформируют привычные процессы в здравоохранении, делают их более эффективными и меняют мир к лучшему. Для кого: Команда в поиске Technical Customer Support Engineer, который поможет с нуля выстроить современную систему Customer Support. Предстоит не только помогать пользователям решать возникающие вопросы, но и запускать процессы поддержки, настраивать инфраструктуру, создавать базу знаний и постепенно автоматизировать рутинные задачи. В будущем команда планирует активно развивать AI-направление, поэтому будет большим плюсом опыт использования AI-инструментов и low / no-code решений для автоматизации процессов. Пользователи очень разные: от врачей и администраторов клиник до пациентов и корпоративных клиентов. Важно уметь объяснять сложные вещи простым языком, при этом разбираться в технических вопросах и помогать развивать процессы поддержки. Основные задачи: Вести техническую клиентскую поддержку: диагностика проблем, сбор контекста, приоритизация и сопровождение запросов до полного решения. Настроить процессы Customer Support: Service Desk, категории обращений, SLA, маршрутизацию, шаблоны ответов и метрики качества. Создавать и поддерживать базу знаний: инструкции, FAQ и сценарии для разных типов пользователей. Настраивать low / no-code интеграции и автоматизации: связки почты, мессенджеров, CRM, Service Desk и других инструментов. Искать возможности для автоматизации процессов поддержки с помощью AI-инструментов. Проводить онбординг новых клиентов и сопровождать их в работе с продуктом. Работать с командами продукта и разработки: оформлять bug-репорты, воспроизводить проблемы, собирать обратную связь и улучшать пользовательский опыт. Что ожидаем: Опыт работы в Customer Support, Technical Support, Customer Success или смежной роли от 2 лет. Опыт работы с Service Desk системами (Omnidesk, Jira Service Management, Intercom или аналогами). Понимание процессов поддержки, SLA и ключевых метрик (FRT, TTR, CSAT, FCR). Опыт взаимодействия с командой разработки и составления структурированных bug-репортов. Умение объяснять технические вопросы простым языком. Самостоятельность, высокий уровень ответственности и желание строить процессы практически с нуля. Английский язык — от Upper-Intermediate. Будет плюсом опыт использования AI-инструментов, а также low / no-code платформ (n8n, Make, Zapier и др.) для автоматизации процессов поддержки. Условия: Работа в стартапе: динамичная среда и быстрые итерации. Оформление: ГПХ (после ИС возможен переход на ТК). Возможность построить Customer Support практически с нуля и влиять на развитие процессов. Высокая автономность и ориентация на результат. Взаимодействие с сильной командой инженеров, продуктовых специалистов и экспертов в области медицины.

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).

Задачи: — Разработка и поддержка высокопроизводительных и масштабируемых систем управления идентификацией, аутентификацией и авторизацией пользователей и бэкенд-сервисов. — Создание систем IAM для удовлетворения потребностей инженерной организации Reddit и миллионов пользователей. — Проектирование, разработка и запуск бэкенд-сервисов для одного из самых посещаемых сайтов в мире. — Взаимодействие с продукт-менеджментом, безопасностью, клиентской и бэкенд-командами для определения и реализации видения и дорожной карты IAM. Требования: — Опыт разработки распределённых бэкенд-систем не менее 3 лет. — Опыт работы с IAM в области авторизации или аутентификации. — Владение одним или несколькими языками программирования общего назначения, предпочтительно Go. — Навыки работы с облачной инфраструктурой: Kubernetes, CI/CD, AWS, GCP. — Высокая эмпатия и отличные коммуникативные навыки для сотрудничества в организации. Условия: — Удалённая работа с гибким графиком. — Комплексные медицинские и страховые программы. — 401k с участием работодателя. — Глобальные программы поддержки, включая профессиональное развитие и помощь в уходе. — Поддержка планирования семьи и гендерно-утверждающая помощь. — Программы поддержки психического здоровья и коучинга. — Гибкий отпуск и оплачиваемое волонтёрство. — Щедрый оплачиваемый декретный отпуск. — Возможность получения акций компании и комиссионных в зависимости от позиции. Дополнительно: — В некоторых ролях и локациях интервью могут записываться и обрабатываться ИИ с возможностью отказа. — Reddit является работодателем, предоставляющим равные возможности и поддерживает доступность для людей с ограниченными возможностями.

О компании: AI HealthTech стартап создает продукты, которые трансформируют привычные процессы в здравоохранении, делают их более эффективными и меняют мир к лучшему. Для кого: Команда в поиске Technical Customer Support Engineer, который поможет с нуля выстроить современную систему Customer Support. Предстоит не только помогать пользователям решать возникающие вопросы, но и запускать процессы поддержки, настраивать инфраструктуру, создавать базу знаний и постепенно автоматизировать рутинные задачи. В будущем команда планирует активно развивать AI-направление, поэтому будет большим плюсом опыт использования AI-инструментов и low / no-code решений для автоматизации процессов. Пользователи очень разные: от врачей и администраторов клиник до пациентов и корпоративных клиентов. Важно уметь объяснять сложные вещи простым языком, при этом разбираться в технических вопросах и помогать развивать процессы поддержки. Основные задачи: Вести техническую клиентскую поддержку: диагностика проблем, сбор контекста, приоритизация и сопровождение запросов до полного решения. Настроить процессы Customer Support: Service Desk, категории обращений, SLA, маршрутизацию, шаблоны ответов и метрики качества. Создавать и поддерживать базу знаний: инструкции, FAQ и сценарии для разных типов пользователей. Настраивать low / no-code интеграции и автоматизации: связки почты, мессенджеров, CRM, Service Desk и других инструментов. Искать возможности для автоматизации процессов поддержки с помощью AI-инструментов. Проводить онбординг новых клиентов и сопровождать их в работе с продуктом. Работать с командами продукта и разработки: оформлять bug-репорты, воспроизводить проблемы, собирать обратную связь и улучшать пользовательский опыт. Что ожидаем: Опыт работы в Customer Support, Technical Support, Customer Success или смежной роли от 2 лет. Опыт работы с Service Desk системами (Omnidesk, Jira Service Management, Intercom или аналогами). Понимание процессов поддержки, SLA и ключевых метрик (FRT, TTR, CSAT, FCR). Опыт взаимодействия с командой разработки и составления структурированных bug-репортов. Умение объяснять технические вопросы простым языком. Самостоятельность, высокий уровень ответственности и желание строить процессы практически с нуля. Английский язык — от Upper-Intermediate. Будет плюсом опыт использования AI-инструментов, а также low / no-code платформ (n8n, Make, Zapier и др.) для автоматизации процессов поддержки. Условия: Работа в стартапе: динамичная среда и быстрые итерации. Оформление: ГПХ (после ИС возможен переход на ТК) Возможность построить Customer Support практически с нуля и влиять на развитие процессов. Высокая автономность и ориентация на результат. Взаимодействие с сильной командой инженеров, продуктовых специалистов и экспертов в области медицины.

Location: Santa Clara, CA Workplace: onsite Role Overview We are looking for a Senior Software Engineer to own the systems that power a large-scale data collection operation, including the collection platform, operator tooling, data pipeline, and fleet infrastructure. This is an engineering role. Day-to-day teleoperation is performed by a dedicated operator team that you direct — you build what they run on, and you own what comes out of it. Project Details Location: 100% Onsite (Santa Clara, CA, US) Employment: Full-time W-2, Monday–Friday, 9:00 AM–5:00 PM Start Date: ASAP Contract Duration: 12-month contract with possibility of extension Rate: $105/hour What You’ll Do Design, build, and maintain the software behind our data collection stations — teleoperation stack, multi-camera recording, and session tooling. Deploy and upgrade that stack across the fleet without stopping collection; keep workstations, containers, and networking healthy. Own the data pipeline end to end: automated validation, conversion into our dataset format, upload, metadata, and versioning. Build the QA tooling that catches dropped frames, stream desync, bad calibration, and mislabeled episodes before data reaches training. Direct a team of teleoperators — define task protocols and SOPs, onboard them on new tasks and embodiments, review session quality, and unblock them daily. Own fleet reliability: calibration and firmware pipelines, sensor and end-effector integration, root-cause analysis of recurring faults, and vendor escalation. Bring up new stations and new embodiments; report throughput, yield, and data health to the research team. What we need to see MS in CS, Robotics, EE/ME, or a related field (or BS with equivalent hands-on experience). 3+ years building software for real robot systems — not simulation only. A system you designed and shipped that other people depended on daily, and that you kept running. Strong Python and Linux; Docker, git, CI, and SSH-based fleet administration. Robot middleware and real-time multi-sensor recording — ROS 2 or equivalent vendor SDKs. Experience supporting a data collection or teleoperation operation: you have built the tools operators depend on and owned throughput and quality numbers. Comfortable around robot hardware — arms or humanoids, dexterous hands, RGB-D cameras, and the calibration that keeps them honest. Able to lead operators without formal authority: you write clear SOPs, train people, and communicate status without being asked. Ways to stand out from the crowd Humanoid or bimanual platforms (Unitree, Fourier, ALOHA/ARX-class rigs) and dexterous hands. XR teleoperation: Quest / PICO / Vision Pro, motion-capture gloves, whole-body retargeting. Imitation-learning data tooling — LeRobot, HDF5/Zarr episode stores, dataset versioning, S3 at TB–PB scale. Built internal dashboards or tooling for a production line or high-throughput lab. Open-source contributions to robotics data or teleoperation tooling. #L1-CC1 Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Задачи: — Проектировать и разрабатывать multi-agent системы. — Интегрировать LLM с внутренними инструментами и сервисами. — Разрабатывать backend-сервисы и API для agent workflows. — Реализовывать RAG pipelines и tool/function calling. — Создавать CLI-based agent workflows и инструменты автоматизации. — Разрабатывать Computer Vision pipelines: object detection, multi-object tracking, person re-identification. — Разрабатывать multi-camera multi-person tracking для сетей камер. — Работать с видеопотоками в реальном времени и оптимизировать GPU inference. Требования: — Опыт работы с Node.js ecosystem и Express.js. — Уверенное владение Python. — Опыт работы с LLM APIs и prompt engineering. — Опыт работы с RAG, tool calling или agent frameworks. — Знакомство с Docker, Linux и Git. — Опыт работы с PyTorch и OpenCV. — Опыт в object detection и multi-object tracking. — Опыт работы с YOLO, ByteTrack / BoT-SORT или аналогами. — Понимание person re-identification и vector search. — Опыт работы с Milvus / FAISS. — Опыт обработки видео с ffmpeg / GStreamer. — Работа с RTSP и hardware decoding. Будет плюсом: — Опыт в NLP и ML. — Опыт развёртывания open-source LLM. — Опыт оптимизации inference. — Опыт работы с Vision-Language Models. — TensorRT / ONNX Runtime. Условия: — Удалённый формат работы. — Заработная плата: 1.600–3.200 USD net в месяц.

Location: Seoul, South Korea Workplace: onsite ABOUT YOU We are looking for a Senior Full-Stack Engineer who is innovative, detail-oriented, and highly collaborative to join our Engineering team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to build end-to-end solutions, design scalable architectures, and drive performance and reliability across both frontend and backend systems. Strong proficiency in React and modern frontend development practices, along with solid backend expertise in Go (or a similar language) is essential, along with experience in microservices architecture, distributed systems, and cloud-native environments using Docker and Kubernetes. The ability to own features from concept to production, troubleshoot complex system behaviors, and continuously optimize performance and resiliency will be key to your success in this role. If you're passionate about building seamless full-stack experiences that power impactful products and love creating scalable solutions that support gaming, payment, and digital commerce ecosystems, we would love to hear from you! ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities Design, build, and maintain full-stack applications that power core products and platforms. Develop responsive, high-performance user interfaces using React. Build and maintain backend services using Go and event-driven architectures. Build scalable microservices in containerized environments using Docker and Kubernetes. Drive architecture decisions that improve performance, resiliency, and maintainability. Collaborate with engineers, product managers, designers, and QA to deliver end-to-end solutions. Own your code in production, monitor, debug, and continuously improve application performance and reliability. Write automated tests and follow CI/CD best practices to ensure high-quality deployments. Participate in code reviews, technical discussions, and knowledge sharing across teams. Participate in on-call rotation to support production systems and respond to incidents. Qualifications & Skills 5+ years of full-stack development experience. Strong proficiency in React and modern frontend development practices. Solid backend experience in Go or a similar language. Strong understanding of microservices architecture, distributed systems, and event-based communication. Familiarity with cloud infrastructure and container orchestration (e.g., Kubernetes, Docker). Solid understanding of observability, monitoring, and performance optimization. Ability to troubleshoot production issues, analyze system behavior, and drive resolution. Business-level proficiency in Korean and English is required. Nice to Have Experience with React Native for mobile development. Background in gaming, payments, or commerce systems. Experience in adtech or offer monetization platforms. Hands-on experience with Kafka or equivalent streaming platforms. Experience with Redis or other in-memory data stores. Experience with cloud platforms (e.g., AWS, GCP, or Azure). Familiarity with ClickHouse, Postgres, or other analytical/OLAP/OLTP databases. Prior experience working on internal platforms or developer-facing tools. The duties and responsibilities of this position may evolve over time to support the organization's goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws including the Personal Information Protection Act (PIPA), Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: Seoul, South Korea Workplace: onsite ABOUT YOU We are looking for a Senior Backend Engineer who is detail-oriented, proactive, and highly collaborative to join our Engineering team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to design and build scalable backend systems, drive architectural improvements, and deliver resilient, high-performance services in production environments. Strong technical expertise in Go, distributed systems, and microservices architecture is essential, along with experience in building and operating cloud-native applications in containerized environments using Docker and Kubernetes. The ability to troubleshoot complex production issues, optimize system performance, and manage event-driven architectures using Kafka or similar streaming platforms will be key to your success in this role. If you're passionate about building reliable, scalable systems that power high-impact products and love creating seamless infrastructure that enables innovative payment, gaming, or commerce experiences, we would love to hear from you! ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities Design, build, and maintain backend services that power core products and platforms. Develop event-driven systems using Go and Kafka. Build scalable microservices in containerized environments using Docker and Kubernetes. Drive architecture decisions that improve performance, resiliency, and maintainability. Collaborate with engineers, product managers, designers, and QA to deliver end-to-end solutions. Own your code in production, monitor, debug, and continuously improve service performance and reliability. Write automated tests and follow CI/CD best practices to ensure high-quality deployments. Participate in code reviews, technical discussions, and knowledge sharing across teams. Participate in on-call rotation to support production systems and respond to incidents. Qualifications & Skills 5+ years of backend development experience in Go or a similar language. Strong understanding of microservices architecture, distributed systems, and event-based communication. Familiarity with cloud infrastructure and container orchestration (e.g., Kubernetes, Docker). Solid understanding of observability, monitoring, and performance optimization. Ability to troubleshoot production issues, analyze system behavior, and drive resolution. Business-level proficiency in Korean and English is required. Nice to Have Background in gaming, payments, or commerce systems. Experience in adtech or offer monetization platforms. Hands-on experience with Kafka or equivalent streaming platforms. Experience with Redis or other in-memory data stores. Experience with cloud platforms (e.g., AWS, GCP, or Azure). Familiarity with ClickHouse, Postgres, or other analytical/OLAP/OLTP databases. Prior experience working on internal platforms or developer-facing tools.

Location: Tokyo Workplace: onsite ABOUT YOU We are looking for a Senior Full-Stack Engineer who is innovative, detail-oriented, and highly collaborative to join our Engineering team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to build end-to-end solutions, design scalable architectures, and drive performance and reliability across both frontend and backend systems. Strong proficiency in React and modern frontend development practices, along with solid backend expertise in Go (or a similar language) is essential, along with experience in microservices architecture, distributed systems, and cloud-native environments using Docker and Kubernetes. The ability to own features from concept to production, troubleshoot complex system behaviors, and continuously optimize performance and resiliency will be key to your success in this role. If you're passionate about building seamless full-stack experiences that power impactful products and love creating scalable solutions that support gaming, payment, and digital commerce ecosystems, we would love to hear from you! ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities Design, build, and maintain full-stack applications that power core products and platforms. Develop responsive, high-performance user interfaces using React. Build and maintain backend services using Go and event-driven architectures. Build scalable microservices in containerized environments using Docker and Kubernetes. Drive architecture decisions that improve performance, resiliency, and maintainability. Collaborate with engineers, product managers, designers, and QA to deliver end-to-end solutions. Own your code in production, monitor, debug, and continuously improve application performance and reliability. Write automated tests and follow CI/CD best practices to ensure high-quality deployments. Participate in code reviews, technical discussions, and knowledge sharing across teams. Participate in on-call rotation to support production systems and respond to incidents. Qualifications & Skills 5+ years of full-stack development experience. Strong proficiency in React and modern frontend development practices. Solid backend experience in Go or a similar language. Strong understanding of microservices architecture, distributed systems, and event-based communication. Familiarity with cloud infrastructure and container orchestration (e.g., Kubernetes, Docker). Solid understanding of observability, monitoring, and performance optimization. Ability to troubleshoot production issues, analyze system behavior, and drive resolution. Business-level proficiency in Japanese and English is required. Nice to Have Experience with React Native for mobile development. Background in gaming, payments, or commerce systems. Experience in adtech or offer monetization platforms. Hands-on experience with Kafka or equivalent streaming platforms. Experience with Redis or other in-memory data stores. Experience with cloud platforms (e.g., AWS, GCP, or Azure). Familiarity with ClickHouse, Postgres, or other analytical/OLAP/OLTP databases. Prior experience working on internal platforms or developer-facing tools. The duties and responsibilities of this position may evolve over time to support the organization's goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially.Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws including the Act on the Protection of Personal Information (APPI), Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers