Вакансии

Компания АЛТ развивает собственные внутренние IT-сервисы для автоматизации бизнес-процессов: логистика, документооборот, отчеты, интеграции с внешними системами, уведомления и внутренние инструменты для сотрудников. Сейчас мы ищем стажера-разработчика / младшего Python-разработчика в помощь действующему инженеру-разработчику. Это позиция для человека, который хочет получить реальную практику, работать с живыми задачами бизнеса и развиваться под наставничеством опытного специалиста. Компания имеет IT-аккредитацию. Чем предстоит заниматься: — помогать в разработке и поддержке внутренних сервисов компании; — писать скрипты и небольшие backend-сервисы на Python; — работать с интеграциями по API: получать данные, отправлять запросы, обрабатывать ответы и ошибки; — дорабатывать бизнес-логику внутренних сервисов: очереди, таймауты, правила распределения задач, автоматические действия; — работать с базами данных: читать, записывать, сверять данные, помогать искать расхождения; — участвовать в подготовке отчетов и выгрузок в Excel; — помогать с ботами, уведомлениями, генерацией документов и PDF; — разбирать ошибки, читать логи, помогать искать причины сбоев; — участвовать в деплое, работе с контейнерами и CI/CD на базовом уровне; — делать небольшие правки во frontend при необходимости; — участвовать в код-ревью и разборе задач вместе с наставником. Что важно для нас: — базовое знание Python; — понимание ООП; — базовое знание SQL; — умение читать чужой код и разбираться в логике; — аккуратность, внимательность, желание доводить задачи до результата; — готовность учиться, задавать вопросы и самостоятельно искать решения; — интерес к backend-разработке, автоматизации и интеграциям. Будет плюсом опыт или интерес к одному из направлений: — backend: FastAPI, Litestar, Django; — frontend: React, Vue или базовая верстка; — базы данных: PostgreSQL, MongoDB; — очереди и кэш: RabbitMQ, Redis; — инфраструктура: Linux, Docker, Kubernetes, GitLab CI; — аналитика: сложные SQL-запросы, Excel, макросы, отчеты, дашборды. Не обязательно знать все сразу. Нам важнее базовая техническая подготовка, логика мышления и желание развиваться. Мы предлагаем: — заработную плату до 40 000 рублей до вычета НДФЛ; — официальное оформление; — работу преимущественно в офисе, полный рабочий день; — возможность гибко согласовывать учебные вопросы и отработки при необходимости; — реальные задачи, а не учебные проекты «в стол»; — работу рядом с действующим инженером-разработчиком; — возможность освоить backend, интеграции, базы данных и инфраструктуру на практике; — участие в создании внутренних IT-продуктов компании; — понятные задачи, обратную связь и постепенный рост сложности; — стабильную компанию с IT-аккредитацией; — возможность профессионального и зарплатного роста внутри компании. Уровень дохода может быть пересмотрен индивидуально после прохождения испытательного срока и по результатам работы. Кому подойдет вакансия: — студенту технической специальности, в том числе студенту 4 курса; — выпускнику, который хочет начать карьеру в разработке; — начинающему Python-разработчику; — специалисту, который уже писал учебные или pet-проекты и хочет перейти к реальным бизнес-задачам; — человеку, которому интересно не просто писать код, а понимать, как IT помогает бизнесу работать быстрее и точнее. Будет преимуществом при отклике: — ссылка на GitHub / GitLab; — описание учебных, pet- или рабочих проектов; — примеры кода; — опыт работы с API, базами данных или автоматизацией процессов. Если вы хотите развиваться в backend-разработке, работать с реальными задачами и получать практический опыт под наставничеством, откликайтесь.

Location: Shanghai Workplace: onsite 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. ABOUT YOU We are looking for a Senior Backend Engineer who is systems-minded, detail-oriented, and passionate about building scalable infrastructure to join our Platform 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 own the server-side architecture of a white-label game distribution platform, tackling challenges in multi-tenancy, large-file delivery, and high-concurrency systems. Strong command of GoLang and solid experience in microservices and distributed systems are essential, along with experience in building backend services for content distribution, app stores, or gaming platforms. The ability to collaborate with cross-functional teams and drive technical decisions on performance, security, and observability will be key to your success in this role. If you’re passionate about building robust, high-performance backend systems that power game distribution at scale and love solving complex infrastructure problems in the gaming ecosystem, we would love to hear from you! Responsibilities Design, build, and maintain the backend services for the game distribution platform, with a highly available and scalable server-side architecture Design and implement a multi-tenant architecture supporting data isolation Design and implement the storage and delivery solution for large game files (object storage / CDN, signed download URLs, resumable downloads, version management) Build backend APIs and permission systems for the operations admin panel and publisher portal Design and deliver the search solution (e.g., Elasticsearch) to power full-text search and filtering of games Ensure system performance, concurrency, security, and observability (monitoring, logging, alerting) Game industry experience required On-site position only (remote work not available) Requirements Degree in Computer Science or a related field, with 5+ years of backend development experience Strong command of GoLang Proficiency with AI coding tools (Claude Code, Gemini, etc.) Solid RESTful API design skills; familiar with microservice architecture Familiar with relational database (MySQL/PostgreSQL) design and optimization; knowledge of NoSQL (Redis, etc.) Familiar with message queues (Kafka/RabbitMQ), caching, and other middleware Solid engineering fundamentals: coding standards, unit testing, Git, CI/CD Nice to have Understanding of the Chinese gaming industry and experience in Chinese game building, publishing, or operation on major Chinese gaming platforms Experience in backend development for games or game platforms Familiarity with server-side integration of game SDKs (accounts, in-app purchases, real-name verification) Familiarity with in-app purchase (IAP), virtual goods, and order management Experience with multi-tenant SaaS / white-label platform architecture Familiarity with Elasticsearch Experience designing and optimizing high-concurrency, high-traffic systems Experience with app stores or content/game distribution platforms Knowledge of object storage and CDN, with experience in or awareness of large-file / high-concurrency delivery Note: Less experienced candidate could be considered as middle-level developer. Job Description This job description is intended to outline the general nature and level of work currently performed and is not an exhaustive list of all duties, responsibilities, or qualifications required. Privacy Notice & Data Processing Consent By submitting your application and uploading your resume/CV, you acknowledge and agree that Xsolla will process your personal information (including but not limited to your name, contact details, work experience, and educational background) for the purpose of recruitment, candidate evaluation, and internal record-keeping. In accordance with the Personal Information Protection Law of the People's Republic of China (PIPL): Purpose Limitation: Your data will only be used for current and future recruitment considerations within Xsolla. Sensitivity: We will handle your personal information with a high duty of care. Your Rights: You have the right to access, correct, or delete your personal information, and to withdraw your consent at any time by contacting us. If your application proceeds past the final interview stage, we may conduct a background check, subject to applicable laws and regulations, only after obtaining your separate written consent. Any such check will be strictly limited to information directly relevant to the employment relationship (e.g., educational background, employment history) and will comply fully with the PIPL. Your personal information will be used solely for recruitment and human resource management purposes, and we will implement rigorous security measures to protect your data. Xsolla takes your privacy rights seriously. We are committed to protecting your personal information in accordance with Chinese data protection laws and will not sell, unlawfully provide, or disclose any personal data received during the hiring process without your explicit authorization. As a data processor, we uphold our obligations to safeguard your personal data and respect your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

О ПРОЕКТЕ И РОЛИ Компания Usetech находится в поиске QA Fullstack-инженера на крупный финтех-проект (кредитный продукт для бизнеса). Позиция предполагает равное распределение задач между ручным и автоматизированным тестированием (50/50). ЧЕМ ПРЕДСТОИТ ЗАНИМАТЬСЯ • Ручное и автоматизированное тестирование функционала (50 на 50); • Разработка, поддержка и актуализация автотестов на C#; • Тестирование REST API, интеграционных слоев и бизнес-процессов; • Работа с базами данных SQL и брокерами сообщений (Kafka, RabbitMQ); • Активное участие в развитии QA-практик внутри команды. ТРЕБОВАНИЯ К КАНДИДАТУ • Опыт работы в сфере QA от 3 лет; • Опыт коммерческой автоматизации на C# от 1,5 лет (основной стек); • Опыт тестирования web-приложений; • Уверенные знания принципов работы REST API и SQL (написание запросов с join, работа с view и т.д.); • Практический опыт интеграционного тестирования; • Опыт работы с CI/CD (Jenkins, GitLab CI); • Опыт работы с брокерами сообщений Kafka, RabbitMQ или аналогами; • Владение инструментами Git, Jira, Confluence. БУДЕТ ПЛЮСОМ • Опыт работы с Redis, Hazelcast; • Опыт тестирования в условиях микросервисной архитектуры; • Опыт работы в финтех-домене. УСЛОВИЯ И КОРПОРАТИВНЫЕ БЕНЕФИТЫ • Карьерные и профессиональные возможности в аккредитованной ИТ-компании; • Расширенный пакет ДМС со стоматологией, доступ к услугам корпоративного психолога; • Профильное обучение, сертификация за счет компании и корпоративный английский язык; • Доступ к корпоративной библиотеке и внутреннему университету; • Профильные коммьюнити и развитая корпоративная культура; • Социальные программы для сотрудников и их детей.

Задачи: — Разработка и сопровождение серверной части кредитного конвейера для продуктов розничного кредитования. — Реализация бизнес-логики обработки кредитных заявок, скоринговых сценариев и маршрутизации заявок между этапами рассмотрения. — Разработка интеграций с внутренними и внешними информационными системами (банки, государственные сервисы, бюро кредитных историй, ЭЦП и другие партнерские сервисы). — Реализация взаимодействия с базами данных, брокерами сообщений и микросервисной инфраструктурой. — Разработка REST API и сервисов обмена данными, обеспечение надежности и производительности системы. — Участие в проектировании архитектуры, реализации ключевых компонентов кредитного конвейера и оптимизации бизнес-процессов. — Анализ и устранение дефектов, оптимизация производительности и сопровождение промышленной эксплуатации системы. Требования: — Опыт коммерческой разработки на Java не менее 3 лет. — Опыт работы со Spring Boot. — Опыт разработки REST API. — Опыт работы с PostgreSQL. — Опыт работы с Apache Kafka. — Понимание принципов микросервисной архитектуры. — Владение технологиями: REST API, JSON, HTTP/HTTPS, микросервисная архитектура, многопоточность, разработка высоконагруженных приложений, интеграционные сервисы. — Языки программирования/запросов: Java 17/21. — БД: PostgreSQL (обязательно), ClickHouse (желательно), понимание принципов проектирования БД и оптимизации запросов. — Фреймворки: Spring Boot, Spring Data, Spring Security. — Библиотеки: Maven/Gradle, Hibernate/JPA, Redis Client, OpenAPI/Swagger. — Другое: Docker (желательно), Kubernetes (желательно), Git, GitLab CI/CD, Jenkins или аналогичные инструменты, JUnit, Mockito, Postman. Условия: — Г.Астана оффлайн, офис рядом с хан шатыр. — Официальное трудоустройство согласно ТК РК. — Своевременная выплата заработной платы. — Ежегодная премия по результатам KPI. — Отпуск 24 к.д. — Обучение, тренинги, курсы за счет средств организации.

Задачи: - Разработка и поддержка backend на Java 21 / Spring Boot, AI/ML-сервисов на Python / FastAPI - Проектирование архитектуры: модульный монолит / микросервисы, event-driven (Kafka / RabbitMQ) - Внедрение AI/ML компонентов: LLM, ИИ-агенты, RAG, self-hosted инференс (vLLM) - Работа с данными: PostgreSQL, pgvector, Redis, графовые БД (Neo4j / Amazon Neptune) - Разработка и интеграция API: REST, API Gateway, медстандарты FHIR / HL7, GRPC - Управление инфраструктурой и DevOps: AWS, Docker, Kubernetes, GitLab, Terraform - Обеспечение наблюдаемости: мониторинг и логирование (Prometheus, Grafana, CloudWatch) - Обеспечение безопасности и авторизации: OAuth2 / OIDC, управление секретами, шифрование данных по стандартам HIPAA / SOC 2 - Сильный системный дизайн сервисов, API, баз данных и облака (AWS) - Активное участие в платформенной части, включая кодирование - Понимание архитектуры AI/LLM и интеграция ИИ-агентов и инференса - Самостоятельность и ответственность в условиях стартапа - Английский язык для чтения документации и общения с партнёрами - Высшее образование в IT, системном анализе, прикладной математике или инженерии Будет плюсом: - Опыт архитектуры AI/LLM-систем (агенты, RAG, self-hosted инференс / vLLM) - Знания распределённых систем, опыт с графовыми БД - Опыт работы в стартапах или роль founding / lead engineer - Понимание безопасности и соответствия стандартам HIPAA / SOC 2 или аналогам Условия: - Официальное трудоустройство по ТК РК - Работа из офиса в Астане, после 7–8 месяцев возможен гибрид или удалёнка - Зарплата $4000–$5000 + опционы / доля в компании (обсуждается)

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit is a platform that both celebrates and benefits from our users’ creativity. Tens of thousands of external developers are already building apps on our platform, but we can do so much more. We are seeking a Staff Backend Engineer with a unique blend of skills and a wealth of experience to contribute to our innovative endeavors. In this pivotal role, you will be instrumental in developing and maintaining our cutting-edge backend for the developer platform. You'll collaborate with colleagues from various backgrounds and specialties, harnessing our collective strengths to design and implement scalable and efficient solutions tailored to our business's multifaceted needs. If you're passionate about making a significant impact and thrive in a fast-paced and highly collaborative environment, then we're excited to welcome you to our team! What You’ll Be Working On Building a platform that is highly available, extremely reliable, low on latency, and at internet scale. Creating and driving our Storage as a service strategy. Building the technical foundation for future features and experiences. Creating a collaborative and supportive team with a strong sense of ownership. Who You Might Be 7+ years of industry experience in backend, infrastructure, developer tools, or app platforms. Technical leader in the execution of large scale projects as well as day-to-day troubleshooting. Go, Typescript, Redis, distributed SQL, and Kubernetes experience. Mentoring and coaching other engineers as well as leading by example strong software engineering best practices. Passion for developing scalable, well-designed software that people love. Entrepreneurial spirit. On our team, everyone needs to act like a startup CEO. You must be self-directed, innovative, and biased towards action in fast-paced environments. You live to build new things and thrive in ambiguity and even failure. Excellent communication skills. You must be able to collaborate effectively with teams in a fully-remote environment, and discuss complex topics with technical and non-technical audiences. Responsibilities: Build and maintain the underlying infrastructure of the developer platform. Build new features for external developers such as SQL db as a service. Contribute to the entire development cycle: technical design, development, test, experimentation, analysis, and launch. You’ll be reviewing code and design docs, giving feedback on product specs and mocks. Contribute meaningfully to team strategy. We give everyone a seat at the table and encourage active participation in planning for the future. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000 — $303,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Redwood City, CA, United States WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! WHY BOX NEEDS YOU The Caching Team provides a performant, highly-available, and scalable caching platform for use throughout the Box platform. We serve as the caching layer within our core relational data tier processing tens of millions of requests per second, while also powering numerous critical, high-throughput, and low-latency workflows. Our goal is to provide easy-to-use solutions to the complex challenges of serving heavy load with strict consistency and high performance requirements, so that developers across Box can focus on shipping their business requirements. Looking ahead, Box’s ever-growing usage means that we have to be ready to process higher scale than ever before, and continue to do so with the enterprise-grade reliability that our customers expect. You will have a unique opportunity to help design and build our next-gen caching architecture, owning critical initiatives that improve the performance, scale, and reliability of our services. You will also partner with engineering teams across the organization to understand their needs and drive architectural improvements towards the usability and impact of our platform. As a member of this mission-critical engineering team, your work will have significant impact on engineering at Box and our 40+ million users. WHAT YOU'LL DO Contribute to the future of Box’s Caching architecture as we migrate our Memcached and Redis fleets to the next-generation of caching solutions. Develop solutions to the scale, performance, and resilience challenges involved with protecting an exponentially growing data tier serving tens of millions of requests per second. Partner with client teams to understand their traffic patterns and provide guidance on effective caching strategies. Deliver high technical excellence in operating our production-critical services and identify opportunities to continually improve their reliability. Collaborate with team members on technical design and architecture decisions to help shape the team’s technical direction. Participate in our on-call rotation, available at all times while on-call to help respond to and triage any issues that arise. WHO YOU ARE Bachelor's degree or equivalent in Computer Science, Mathematics or a related field 3+ years of professional software development experience Strong understanding of common algorithms, data structures, and code design principles Strong grasp of high-scale distributed systems Preferred skills Experience with JVM-based languages such as Java and Scala Familiarity with caching solutions such as Memcached and Redis Passionate about scale and performance challenges For more insight into Box's data tier, please see the following: Medium Blog: Strategies used at Box to protect MySQL at scale Medium Blog: Cache is the root of all evil Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Redwood City Pay Range $165,000 — $206,500 USD

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We're looking for experienced engineers to build and scale the database infrastructure that powers Claude's products and Anthropic's research. As a Software Engineer on the Databases team, you'll architect and operate the systems that let millions of users interact with Claude while also supporting frontier AI research workloads. You'll help set the database strategy for Anthropic: designing systems that handle billions of API requests, building storage that runs cleanly across GCP, AWS, and a range of deployment models, and creating the reliable data layer that lets research move fast. The Databases team spans three areas: the core database platform (data plane and control plane), data movement (migrations, backfill, and change data capture), and caching. We're hiring across all three. Key Responsibilities Drive the technical direction for database solutions used across Product and Research Design and implement database solutions that scale to support millions of users across Claude's product ecosystem Build and scale database systems through 100x+ growth while maintaining reliability and performance Build the database platform that lets Anthropic engineers ship without thinking about databases or scaling. Architect data storage solutions that operate across GCP, AWS, first-party deployments, third-party deployments, and other environments Develop database infrastructure that serves both product and research workloads with different performance characteristics Build data movement infrastructure (migration tooling, backfill, and change data capture pipelines) that safely consolidates and moves data across the organization Design and operate caching infrastructure, including CDC-driven cache invalidation, that keeps Anthropic's hottest paths fast and correct Partner with product and research teams to understand data requirements and build infrastructure that accelerates their work Optimize database performance, reliability, and cost efficiency at scale Make build-vs-buy decisions for database technologies Minimum Qualifications Significant experience as a software engineer building and operating production database or storage systems Deep knowledge of distributed database architectures and OLTP systems at scale Proficiency with SQL and at least one major relational or distributed database engine (e.g., PostgreSQL, MySQL, Spanner, CockroachDB, DynamoDB) Track record of leading large, complex infrastructure projects as an engineer or tech lead Ability to balance moving quickly with the reliability needs of production systems Strong technical leadership and cross-functional collaboration skills Preferred Qualifications 10+ years building and scaling database systems, with 3+ years leading large-scale projects or teams Experience scaling databases through periods of rapid growth at high-growth companies Experience operating Spanner, CockroachDB, TiDB, AlloyDB, or other globally distributed SQL databases in production Experience with Redis, Temporal, vector databases, or async job processing frameworks Experience with change data capture (Debezium or similar), large-scale data migration, or streaming data infrastructure Experience building multi-cloud or hybrid cloud database solutions Knowledge of database orchestration and automation at scale Contributions to database internals, storage engines, or related open source projects Note: Prior AI/ML infrastructure experience is not required. We value deep infrastructure and database expertise from any domain. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for experienced engineers to build Anthropic's cache layer as a managed service from the ground up. The Caching team is part of the Databases organization and owns the systems that keep Anthropic's hottest paths fast and correct: a managed Redis fleet, client libraries used across the company, and CDC-driven cache invalidation that solves one of distributed systems' hardest problems the right way. This is a foundational role on a small team with outsized leverage. Every millisecond you take off a hot path is multiplied across every Claude request. You'll set the technical direction for caching at Anthropic, from the data plane to the developer experience, and you'll work closely with product and research teams to make caching something engineers get for free rather than something they have to think about. Key responsibilities Drive the technical direction for caching infrastructure used across Product and Research Design, build, and operate a managed Redis fleet that scales to support millions of users across Claude's product ecosystem Build client libraries and developer-facing abstractions that make correct caching the default for Anthropic engineers Design and operate CDC-driven cache invalidation that keeps cached data consistent with source-of-truth databases Architect caching solutions that operate across GCP, AWS, first-party deployments, and other environments Optimize latency, hit rates, reliability, and cost efficiency on Anthropic's hottest paths Build observability and tooling that makes cache behavior easy to understand and debug Partner with product and research teams to understand access patterns and build infrastructure that accelerates their work Make build-vs-buy decisions for caching technologies Minimum qualifications Significant experience as a software engineer building and operating production distributed systems Deep knowledge of caching architectures, including invalidation strategies, consistency tradeoffs, and failure modes Experience operating Redis, Memcached, or similar in-memory data stores in production Proficiency in at least one systems programming language (e.g., Go, Rust, Java, C++) or Python at scale Track record of leading large, complex infrastructure projects as an engineer or tech lead Ability to balance moving quickly with the reliability needs of production systems Strong technical leadership and cross-functional collaboration skills Preferred qualifications 10+ years building and scaling distributed infrastructure, with 3+ years leading large-scale projects or teams Experience building managed infrastructure platforms or internal services consumed by many engineering teams Experience with change data capture (Debezium or similar) or streaming data infrastructure Experience operating Redis Cluster, Valkey, ElastiCache, Memorystore, or similar managed offerings at scale Experience designing client libraries or SDKs for internal infrastructure Experience scaling infrastructure through periods of rapid growth at high-growth companies Experience with multi-cloud or hybrid cloud deployments Contributions to caching systems, database internals, or related open source projects Note: Prior AI/ML infrastructure experience is not required. We value deep infrastructure expertise from any domain. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Задачи: — Разработка и развитие AI-платформы для healthtech-продукта на рынке США — Проектирование архитектуры продукта: модульный монолит / микросервисы, event-driven архитектура — Работа с Go как основным backend-языком — Разработка и интеграция AI/ML-сервисов на Python / FastAPI — Интеграция LLM, AI-агентов, RAG и self-hosted inference в продуктовую систему — Работа с workflow orchestration через Temporal — Проектирование API и интеграций: REST, API Gateway, FHIR / HL7, gRPC — Работа с базами данных и инфраструктурой данных: PostgreSQL, pgvector, Redis, Neo4j / Amazon Neptune — Участие в построении облачной инфраструктуры на AWS — Настройка и развитие DevOps-процессов: Docker, Kubernetes, GitLab CI/CD, Terraform — Обеспечение наблюдаемости систем через Prometheus / Grafana, CloudWatch, OpenTelemetry — Участие в вопросах безопасности, авторизации и compliance: OAuth2 / OIDC, управление секретами, шифрование данных, HIPAA / SOC 2 — Hands-on разработка платформенной части, не только архитектурное проектирование Требования: — Сильный опыт системного дизайна: сервисы, API, интеграции, базы данных, распределённые системы и облачная инфраструктура — Опыт разработки на Go и готовность писать код — Понимание AI / LLM на архитектурном уровне — Понимание интеграции AI-агентов, RAG и инференса в продуктовые системы — Опыт проектирования отказоустойчивых и масштабируемых систем — Понимание принципов event-driven архитектуры и workflow orchestration — Самостоятельность, ownership и готовность работать в условиях неопределённости стартапа — Английский язык для чтения технической документации и взаимодействия с партнёрами из США — Высшее образование в области IT, системного анализа, прикладной математики или инженерии Будет плюсом: — Архитектурный опыт построения AI / LLM-систем: агенты, RAG, self-hosted inference, vLLM — Опыт использования Temporal или аналогичных систем оркестрации workflow — Понимание распределённых систем: масштабирование, согласованность, отказоустойчивость — Опыт работы с графовыми базами данных — Опыт работы в стартапах или в роли founding / lead engineer — Понимание требований безопасности и compliance: HIPAA, SOC 2 или аналогичные стандарты — Опыт работы с AWS Условия: — Официальное трудоустройство по ТК РК — Работа из офиса в Астане — После 7–8 месяцев возможен гибридный или удалённый формат — Зарплата: $3 000–$4 000 — Опционы / доля в компании обсуждаются отдельно — Работа в healthtech-стартапе для рынка США — Возможность влиять на архитектуру продукта и технические решения — Участие в создании AI-платформы с реальным impact для healthcare-сферы

Location: Berlin, Germany Workplace: remote ABOUT YOU We are looking for an Operations Engineer who is technically curious, detail-oriented, a strong communicator, and proactive to join our Global Technical Operations (GTO) team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to monitor and investigate production issues across a global platform, help improve how we detect and respond to incidents, analyze trends and patterns in production data, and contribute to better communication with partners and stakeholders during incidents. Strong troubleshooting skills, observability platform experience, and scripting ability are essential, along with experience in SRE, DevOps, production operations, or NOC environments supporting high-availability platforms in the gaming industry. The ability to communicate clearly and effectively in English — both written and verbal — when writing incident updates, shift handoffs, and status page communications will be key to your success in this role. If you’re passionate about keeping critical systems running and continuously improving operational processes and love being the first to spot issues and the one who drives them to resolution for game developers and players worldwide, 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: Serve as the primary dashboard monitor during your shift — continuously watch the GTO Operational Dashboard in Datadog, detect anomalies by correlating signals across APM, logs, metrics, synthetic tests, and Real User Monitoring, and determine whether alerts warrant an incident ticket or can be resolved through immediate investigation. Triage and investigate production incidents — create incident tickets in JIRA Service Management, perform initial technical investigation using Datadog (traces, logs, infrastructure and application metrics), determine blast radius and likely root cause domain, and route to the correct team (Product SRE, Infrastructure SRE, or Engineering) using the smart routing model. Own lower-severity incidents end-to-end from detection through resolution — diagnose, execute runbook procedures, and resolve without escalation where possible. Escalate promptly when an incident is unresolved within defined thresholds or requires a code-level fix. Support the TSO Lead during major incidents as the technical right hand in the war room — surface real-time data (error rates, impact scope, deployment history, related alerts), maintain the incident ticket with live timeline entries and linked evidence, and execute mitigation actions as directed. Draft incident communications under TSO Lead direction, including internal Slack updates, stakeholder notifications, and customer-facing status page updates (status.xsolla.com). Support clear, timely communication throughout the incident lifecycle. During non-incident periods, analyze incident trends, recurring issues, and production bugs — compile data from Datadog, JIRA, and Slack, identify patterns, and contribute findings to regular reports for product and engineering teams. Compile incident timelines and draft initial PIR documents for Post-Incident Review preparation. Track PIR action items post-session and flag overdue items to the TSO Lead. Build and maintain operational automation (alert enrichment scripts, incident templates, Slack workflows, dashboard widgets) and contribute to runbook development — documenting new resolution procedures so they can be repeated by any Operations Engineer on any shift. Conduct structured shift handoffs covering active incidents, at-risk services, upcoming deployments, and follow-up items. Participate in knowledge transfer sessions with SREs to continuously expand independent resolution capability. Cover for the TSO Lead during vacations, absences, or emergencies — including severity classification, escalation decisions, stakeholder communications, and basic Incident Commander functions. Publish health reports of critical apps periodically. Qualifications: Previous experience working at a gaming company is required — you understand the pace, player expectations, live operations dynamics, and the operational demands of the gaming industry. 4+ years of experience in SRE, DevOps, production operations, NOC, or technical operations in a high-availability environment. Strong troubleshooting and investigation skills — ability to take an alert or user-reported symptom and methodically trace it through the stack: application logs, APM traces, infrastructure metrics, database queries, and network paths. Hands-on experience with Datadog (or equivalent observability platform: Grafana, Splunk, New Relic, Elastic) — navigating APM, building log queries, reading infrastructure dashboards, interpreting SLO burn rates, and configuring monitors and alerts. Proficiency in at least one scripting language: Python, Go, or Bash. You will write automation scripts, build operational tooling, and work with APIs. Clear written and verbal communication skills in English — ability to write incident tickets, investigation notes, Slack updates, shift handoff reports, status page communications, and PIR drafts that are clear, concise, and useful to both technical and non-technical audiences. Working knowledge of Kubernetes and cloud infrastructure (GCP preferred, AWS/Azure acceptable) — understanding of pods, deployments, services, ingress, node health, and how to investigate Kubernetes-related production issues. Understanding of SLOs, error budgets, and burn-rate alerting — knowing what a multi-window burn-rate alert means, how error budgets deplete, and how SLO breaches translate into incident severity. Experience with incident management tooling: JIRA or JIRA Service Management, PagerDuty or OpsGenie, Slack, and Confluence. Experience with or strong interest in AI/ML-assisted operations: anomaly detection, alert correlation, predictive monitoring, or automated remediation. Comfort with 24x7 shift-based operations as part of a follow-the-sun model with handoff overlaps. Weekend on-call (rotating) is required. Nice to Have: Familiarity with Datadog Service Catalog, synthetic monitoring, and RUM (Real User Monitoring). Experience with distributed systems debugging: tracing failures across microservices, understanding cascading failures, and reading distributed traces end-to-end. Exposure to database operations (MySQL, PostgreSQL, Redis, Kafka) at a level sufficient to investigate connection pool exhaustion, replication lag, slow queries, or queue backlogs during incidents. Familiarity with CI/CD pipelines and deployment tooling (GitLab CI, ArgoCD, Helm) — enough to correlate recent deployments with production issues and identify rollback targets. JIRA Service Management administration experience: workflows, automation rules, SLA timers, and queues. ITIL Foundation certification is a plus but not required — practical experience matters more. 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, Gym membership, monthly train ticket 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

Задачи: — Разработка и поддержка backend на Python с использованием Django и Django Rest Framework. — Создание REST API, работа с Django ORM, миграциями и админ интерфейсом. — Настройка и поддержка AWS сервисов: S3, RDS, SNS, SQS, CloudFront, CloudFormation. — Реализация OAuth потоков аутентификации. — Использование AI инструментов и LLM. — Работа с Celery (версии 4.x/5.x) и брокерами сообщений Redis или RabbitMQ. — Использование Docker (Dockerfile, docker-compose) и базовые знания CI/CD (GitHub Actions или аналогичные). — Работа с SQL и реляционными базами данных, предпочтительно PostgreSQL. — Использование Git, проведение Pull/Merge Requests, Code Reviews, Git Flow. Требования: — Опыт работы с Python не менее 5 лет. — Опыт работы с Django, Django REST Framework. — Знание PostgreSQL. — Опыт работы с Django ORM моделями. — Знание архитектурных паттернов RESTful API. — Опыт работы с брокерами сообщений Redis или RabbitMQ. — Опыт работы с кэшированием Redis. — Опыт работы с инструментами мониторинга Sentry (желательно Pytest, Flake8, Bandit, wemake-python-styleguide). — Опыт работы с AI инструментами (OpenAI, Claude, RAG / Knowledge Base Tools, Zapier, Make.com). — Профессиональное владение английским языком. Желательно: — Опыт DevOps: настройка и поддержка AWS сервисов. — Опыт настройки и поддержки CI/CD пайплайнов (GitHub Actions или аналогичные). — Знание платежных шлюзов Mollie, Stripe, PayPal и подобных. — Опыт настройки и оптимизации Sentry, логирования и мониторинга. — Опыт тестирования и работы с инструментами качества кода: Pytest, Flake8, Bandit, wemake-python-styleguide. — Опыт работы с интернационализацией и внешними интеграциями (CRM, API). — Базовые знания Vue.js или опыт взаимодействия с фронтендом на Vue. — Использование feature flags с django-waffle и продвинутых админ плагинов (CKEditor, image-cropping, sortable2). — Знание Poetry, Fabric, Django Channels. — Опыт обработки PDF и изображений (PyMuPDF, Pillow, heif-image-plugin). Условия: — Полностью удалённая работа с гибким графиком. — Конкурентная оплата, полная занятость или фриланс, в зависимости от опыта. — Возможности профессионального роста и долгосрочного сотрудничества.

Ищем ML Engineer в команду рекомендаций социальной сети для геймеров Gameram. Вакансия ближе к DE/MLOps — основной фокус на подготовке и доставке рекомендательных систем до пользователя и их стабильной работе в проде. Стек: Scala, Python, Spark, Airflow, Hadoop/HDFS, Kafka, ZooKeeper, ClickHouse, Superset, Redis, PostgreSQL, AWS Обязанности: — Выводить ML-модели и рекомендательные системы в production; — Развивать и поддерживать ML-инфраструктуру; — Взаимодействовать с Data Science, продуктом и другими инженерами. Требования: — 4+ года опыта в разработке; — Уверенный Scala и/или Python; — Опыт вывода ML-моделей в production и поддержки production-систем; — Опыт работы с Big Data и распределённой обработкой данных; — Понимание ML-пайплайнов и жизненного цикла моделей; — Опыт с рекомендательными системами будет большим плюсом. Условия: — full-time, удалённо (не РФ). — Зарплата: $4,000–5,000 gross / месяц.

Задачи: - Развитие и улучшение текущих продуктов монетизации (Дзен Премиум, Про, донаты, стеллы, базовая монетизация). - Разработка платформенного ядра (инфраструктуры), которое позволит легко интегрировать новые монетизационные механики. - Обеспечение быстрого вывода новых платных функций на рынок за счёт модульности и масштабируемости решений. - Повышение эффективности существующих денежных потоков и поиск точек роста для выручки. Требования: - Владение Java. - Понимание о системах контейнеризации (Docker). - Понимание работы одной из БД: Postgres, MongoDB, Redis, ClickHouse, YDB.

Задачи: — Разработка и поддержка платежных сервисов и финансовых продуктов. — Интеграция с PSP-провайдерами и развитие существующих интеграций. — Разработка и поддержка микросервисов. — Участие в проектировании и развитии архитектуры сервисов. — Оптимизация производительности и отказоустойчивости высоконагруженных систем. — Разработка нового функционала и сопровождение существующего кода. — Участие в code review и технических обсуждениях с командой. Требования: — Коммерческий опыт разработки на Python от 1 года. — Уверенное знание PostgreSQL, SQLAlchemy и Redis. — Опыт работы с микросервисной архитектурой. — Опыт работы с брокерами сообщений. — Понимание принципов построения высоконагруженных систем. — Опыт разработки и поддержки сложных backend-сервисов. — Умение писать чистый, поддерживаемый и качественный код. Будет преимуществом: — Опыт разработки платежных систем или финтех-продуктов. — Опыт интеграции с платежными провайдерами. — Опыт работы в сфере iGaming или Betting. — Опыт работы с ClickHouse. — Знание и применение CQRS. — Опыт работы с LiteStar. Условия: — Удаленный формат работы. — Работа под руководством Team Lead / Lead Developer. — Участие в развитии высоконагруженной платежной инфраструктуры. — Возможность влиять на технические решения и архитектуру продукта. — Конкурентная заработная плата от 1.000 USD на старте с возможностью пересмотра по результатам работы.

Задачи: — Улучшать опыт .NET-разработчиков через создание новых инструментов и практик. — Оптимизировать настройки .NET рантайма для повышения производительности и снижения потребления ресурсов. — Разрабатывать платформенные фичи: автоматические таймауты, retry, circuit breaker и loadshedding. — Дорабатывать и поддерживать платформенные клиенты для БД (PostgreSQL, Redis, Clickhouse, Cassandra). — Обеспечивать выпуск внутренних релизов .NET-платформы. — Исправлять баги в базовых библиотеках (Npgsql, grpc-dotnet) и участвовать в open source. Требования: — Опыт разработки на C# и глубокое понимание .NET. — Знание сетевых протоколов gRPC и HTTP. — Опыт работы с высоконагруженными и распределёнными системами. — Навыки анализа и оптимизации производительности приложений. — Возможность работать из России, Казахстана или Беларуси. Хорошо, если есть: — Опыт контрибьюта в open-source проекты (базовые библиотеки .NET). — Понимание внутреннего устройства .NET Runtime. — Опыт разработки инфраструктурных или платформенных компонентов. Условия: — Гибкий формат работы: офис, гибрид или удалёнка. — Полный соцпакет: ДМС со стоматологией, страхование жизни, поддержка психолога. — Профессиональное развитие: Ozon Универ, курсы по программированию, математике и английскому. — Поддержка участия в конференциях (оплата билетов, проживания и дороги). — Спортивные клубы (бег, волейбол, футбол) и йога в офисе. — Льготная жилищная программа для сотрудников.

Задачи: — Разработка и настройка AI-функций продукта — Работа с LLM, RAG, embeddings и векторными базами данных — Интеграция OpenAI, Gemini, DeepSeek и других AI API — Настройка промптов и улучшение качества ответов моделей — Работа с учебными материалами и базой знаний — Поддержка серверной части: Linux, Docker, логи, конфигурации и деплой — Оптимизация скорости работы и стоимости AI-запросов Требования: — Опыт работы от 3 до 6 лет — Уверенное владение Python — Опыт работы с LLM, RAG и embeddings — Опыт интеграции AI API — Понимание FastAPI и REST API — Опыт работы с Linux-серверами — Владение Docker, Git, переменными окружения и инструментами работы с логами — Умение доводить AI-функции до рабочего состояния в продукте — Будет преимуществом: опыт работы с Qdrant, Pinecone, Weaviate, Chroma, PostgreSQL, Redis, TTS/STT, Telegram Bot API, Mini App, MLOps и компьютерным зрением Условия: — Официальное оформление по Трудовому договору или договору ГПХ (с самозанятым, ИП или физическим лицом) — График работы 5/2 — Рабочий день: 8 часов — Гибридный формат работы — Выплата заработной платы два раза в месяц — Возможность проектной или долгосрочной занятости — Условия оплаты обсуждаются по итогам собеседования Адрес: Астана, улица Сарайшык, 5

Задачи: — Развитие и поддержка IT-инфраструктуры в высоконагруженном гео распределенном проекте; — Обеспечение бесперебойной работы инфраструктуры и сервисов; — Сопровождение bare-metal кластеров k8s; — Сопровождение кластеров Clickhouse, Kafka, PostgreSQL, Aerospike; — Автоматизация процессов; — Обнаружение потенциальных проблем и участие в создании решения по их устранению; — Поиск, тестирование и внедрение новых решений, помогающих оптимизировать текущие процессы и повысить качество предоставляемых услуг; Требования: — Опыт администрирования Linux серверов; — Опыт администрирования Kubernetes; — Опыт администрирования ClickHouse, PostgreSQL, Redis; — Опыт работы с брокерами сообщений (Kafka); — Понимание принципов IaC; — Prometheus stack; — ELK/EFK; Будет плюсом: — Опыт работы с Aerospike; — Опыт использования GitLab CI; — Опыт автоматизации с помощью Ansible; — Владение любым языком программирования или скриптовым языком (Python, Bash, Go и др.); Условия: — Отсутствие дресс-кода и бюрократии; — Рабочий ноутбук на выбор: Mac или PC; — Покупка билетов до Кипра за счёт компании; — Помощь с переездом семьи из любого региона; — Рабочая виза для сотрудника и гостевая виза для членов семьи; — Предоставляем жильё на первый месяц; — Медицинская страховка и мобильная связь; — Бесплатные обеды и напитки; — Всегда полные корзины фруктов и всяких вкусняшек в офисе; — Бесплатные курсы английского и греческого языков; — Оплата занятий спортом; — Частичная оплата школ и детских садов.