Вакансии

Location: Paris Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. About the role: As a Senior Software Developer at Checkout.com http://Checkout.com, you will be embedded within the Identity Verification Team, a critical function focused on building innovative products to verify the identities of individuals and businesses globally. In this high-impact role, you will be instrumental in the development of next-generation verification features, deploying intelligent, production-ready solutions by leveraging state-of-the-art Orchestration technologies as well as Generative AI and Computer Vision technologies. You will be expected to work closely and collaboratively with Product, DevOps, DataScientist, and Data teams to ensure successful, end-to-end delivery of these solutions, while constantly researching and integrating emerging technologies. A core part of your contribution will be safeguarding data integrity and ensuring compliance, and translating complex data insights into clear, actionable recommendations for stakeholders to support informed, data-driven decision-making across Checkout.com http://Checkout.com. What you will be doing: • Drive the design and development of innovative, complex and scalable applications for real-world identity verification challenges in a wider microservices using industry best practices. • Take full ownership of new and existing features and service, managing the end-to-end lifecycle from initial conceptualization and design through to deployment and monitoring in a production environment. • Actively collaborate with cross-functional teams (Engineering, Product, Risk) across the company to maximize the positive impact of data science initiatives. • Champion a culture of technical excellence, cross-team learning, and knowledge sharing within the Data organization. • Be part of, and collaborate with, cross-functional teams including product management, across a large engineering community. • Write clean, maintainable, extendable and testable code on some of Checkout’s most impactful systems. • Build, own and operate your systems to the highest levels of resilience and service. • Mentor junior team members and assist in their technical development What are we looking for: • Bachelor's or Master's degree in Computer Science, Engineering, or related field • Over 5 years of experience as a Software Engineer working with complex, large-scale, and diversified applications and tech stacks. • Proficiency in C# .NET or Python, with a strong understanding of software development principles in either a backend or full stack environment. • Great communication skills and ability to interact effectively with a wide range of stakeholders • Experience working in agile environments and delivering high-quality code within tight deadlines • Excellent problem-solving skills and the ability to work independently as well as part of a team • Someone who is AI proficient or AI curious, you will be hungry to embrace what the latest technology has to offer to enhance yours and your teams productivity • Payments or financial knowledge is a plus, but not a necessity Bonus Points: • Experience with Cloud and Infrastructure technologies like AWS, GCP, Azure, Kubernetes, prometheus... • Experience with Databases like Postgresql, Mongo, Redis, ... • Direct experience solving real-world business problems through innovative, data-driven approaches. • Any experience in other programming languages not mentioned above. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Ukraine; Spain; Serbia; Yerevan; Poland Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a senior pod alongside an FDE, an FDX, and Senior AI Engineers — contributing to real delivery work while building toward independent ownership. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket. Excellent communication and problem-solving skills. Comfortable with some ambiguity, with support from senior team members as you take on more. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth Hands-on experience building or contributing to RAG systems, ideally in a production or near-production setting. Solid engineering fundamentals; Python and/or TypeScript proficiency. Productive in an unfamiliar codebase with some ramp-up support. Practical AWS experience (Lambda, S3, ECS, or similar); ready to grow into Bedrock and Bedrock AgentCore . Some experience with containers and CI/CD in real projects. Exposure to evaluating non-deterministic systems — you've contributed to or run test/eval cycles, even if you haven't owned a full eval suite end-to-end. Basic working knowledge of model/agent monitoring concepts. Awareness of cost and latency trade-offs when working with LLMs. Some hands-on exposure to the Claude ecosystem (Claude Code, CLAUDE.md, hooks, skills files) is a plus, or strong ability to ramp up quickly. Practical experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) in real projects. 2+ years of software or ML engineering experience, including some exposure to production systems. Solid AI/ML foundations — you understand what the models do well enough to reason about common failure modes. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications (or actively pursuing them). A2A: Interest in agent-to-agent interoperability concepts. CI/CD pipeline experience (GitHub Actions, GitLab CI). Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа. Experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build. MCP: you can say why an agent would prefer it to a REST integration, having authored a server is an additional  plus. Responsibilities: Build and contribute to RAG system components under senior guidance, with growing autonomy. Write tests and help build out evaluation harnesses for the features you work on. Write production code across the stack (AI, backend services, data pipelines) with code review support. Help integrate AI components into backend services and RESTful APIs. Support deployment of systems to AWS (containerized, CI/CD), taking on more of this independently over time. Contribute to documentation, runbooks, and client handover materials. Participate in technical discussions and architectural decisions, with an eye toward taking on more of this independently. Support model evaluation efforts and help investigate and improve failure modes. Take on increasing ownership of components and technical decisions as you grow in the role. What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: Ebene Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Are you ready to be at the heart of a global fintech leader? Checkout.com http://Checkout.com is seeking a forward-thinking and technically curious Operations Center Engineer I to join our cutting-edge Global Operations Center. This is not your typical support role. You will be a vital part of the team that ensures the stability, performance, and security of the core infrastructure that powers our global platform. Forget waiting for things to break. As an Operations Center Engineer, you will proactively monitor our complex hybrid environment, identify potential issues before they impact our services, and contribute to the automation that keeps us running at peak performance. You will gain hands-on experience with industry-leading technologies like AWS, Cisco networking, and Terraform, making a tangible impact on a global scale. If you are a problem-solver with a passion for cloud and infrastructure technologies, we want you on our team. What You Will Be Doing: - Proactive Monitoring & Incident Management: Serve as a first responder for alerts from our sophisticated monitoring systems, analyzing and troubleshooting issues across our cloud (AWS) and on-premise (Cisco) infrastructure. - Infrastructure Operations: Take ownership of incidents, working with senior engineers to resolve complex technical issues and prevent recurrence. - Automation & Efficiency: Utilize and contribute to our Infrastructure-as-Code practices, with opportunities to work with tools like Terraform to automate responses and deployments. - Collaborative Problem-Solving: Work closely with Engineering, Security, and Application Support teams to ensure swift resolution of any service-impacting events. - Process Improvement: Adhere to and help refine our ITSM and operational processes, ensuring we maintain the highest standards of service delivery and availability within our SLAs. - Global Impact: Communicate effectively with stakeholders across the business during incidents and provide clear, concise updates. About You: - A degree in IT, Computer Science, Engineering, or a related field is a strong asset. - While we welcome promising fresh graduates, 1-2 years of experience in a Systems, Network, Security, or NOC role would be an advantage. - Foundational knowledge of cloud technologies is essential; hands-on experience or certifications in AWS are highly desirable. - Familiarity with Cisco environments is a plus. - Exposure to or a strong desire to learn Infrastructure-as-Code principles and tools like Terraform. - Familiarity with monitoring tools (e.g., Datadog, Grafana, Prometheus, Nagios) and their role in a proactive operational environment. - Excellent troubleshooting skills across Windows and Mac OS environments. - A collaborative, can-do attitude with strong communication skills and the ability to perform under pressure. - A deep-seated curiosity and eagerness to learn and grow in a fast-paced, global technology company. - Flexibility to work on a 24/7 shift rotation, including weekends and public holidays, to ensure continuous global operations. Join us at Checkout.com http://Checkout.com to build the future of commerce. If you are ready to launch your career in a forward-looking operational role and move beyond traditional support, apply now! Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Ищем LLM / ML Engineer с практическим опытом обучения языковых моделей. Задача — обучение с нуля специализированных моделей на 1–10 млрд параметров.

• С первого дня вести текущие кампании: масштабировать успешные, отключать неэффективные, контролировать ROAS и payback. • Автоматизировать запуск кампаний, тестирование креативов, бюджеты, оптимизацию и отчётность.

• Full-stack разработка с основным фокусом на фронтенде.

Location: Baku Workplace: onsite ABOUT YOU We are looking for a Senior QA Engineer who is meticulous, technically sharp, and forward-thinking to join our engineering team. You thrive in fast-paced, agile environments and are passionate about ensuring quality at every stage of the development lifecycle. You are not only confident in manual testing but also eager to integrate AI driven testing tools and workflows to elevate productivity, test coverage, and defect detection.   You bring deep expertise in exploratory and structured testing, contribute to team best practices, and are proactive in monitoring production behavior and user experiences. You stay curious about emerging tools and technologies, especially AI, and know how to leverage them effectively without losing sight of the fundamentals.   If you’re excited to improve test processes, advocate for quality across teams, and drive innovation in QA through automation and AI, we’d 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 Own and lead manual testing of complex features across multiple environments Drive exploratory and regression testing using structured documentation and product knowledge Identify, log, and track reproducible issues with precision using bug tracking tools (e.g. Jira) Analyze production logs and real-user behavior to proactively identify quality gaps Create and maintain detailed test cases, checklists, and QA documentation Collaborate with engineering and DevOps teams to ensure reliable CI/CD test coverage Evaluate and integrate AI-powered tools (e.g. test generation, log analysis, visual regression) into QA workflows Set up and manage test environments, staging pipelines, and job configurations Conduct load/stress testing and performance investigations Act as a quality advocate across sprint planning, reviews, and release cycles Mentor junior QA engineers and promote a culture of proactive quality ownership Qualifications & Skills Proven experience in software QA or testing roles, including ownership of end-to-end quality Degree in Computer Science, Information Technology, or related field Strong understanding of manual testing methodologies and defect life cycle Proficiency with bug tracking systems (e.g., Jira) and version control (e.g., Git) Practical experience using Postman and similar tools for API validation Hands-on experience with CI/CD pipelines and deployment readiness processes Proficiency with browser developer tools and basic terminal/command-line usage Strong verbal and written English communication skills Familiarity with AI-powered testing tools (e.g., test case generation, smart test prioritization, AI log analysis) Good to Have Experience with Playwright, Cypress, or Selenium for automated test development Understanding of backend technologies, APIs, and familiarity with PHP or related languages Experience working in Linux environments and using Bash scripting Hands-on with AI platforms (e.g., ChatGPT, Testim, Mabl, or AI-based bug triaging tools) in a QA context 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

• 3+ лет коммерческой разработки ПО. • 2+ лет опыта в проектировании систем, масштабируемости и надёжности.

– Terraform, Ansible, Kubernetes, Helm. – AWS/GKE/AKS/DOKS/подобные.

Location: Zürich, CH About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Anthropic's models grow more capable, so does the interest of people who want to attack or misuse them. The Detection and Response (D&R) team spots those threats and responds to incidents across every layer of Anthropic's technology stack. The team is early-stage, so you'll help build our detection and response capabilities from the ground up and work closely with our security and research teams. Key responsibilities Lead incident response across a range of domains, from external attacks to insider threats, spanning all layers of Anthropic's technology stack Build and deploy tooling, including tools that use large language models, to improve how we detect and respond to threats Create and tune detections, playbooks, and workflows to catch and respond to incidents quickly Review incident response metrics and procedures, and drive improvements Work across security and engineering teams Take part in an on-call rotation Minimum qualifications Experience handling security incidents and investigating anomalies as part of a team Working knowledge of EDR, SIEM, SOAR, or similar security tooling A solid understanding of cloud environments and operations Experience working with engineering teams in a SaaS environment Proficiency with a scripting language such as Python and query languages such as SQL Strong communication and collaboration skills Able to lead projects with little guidance Able to pick up new languages and technologies quickly Preferred qualifications 7+ years of software engineering experience, or 7+ years of detection engineering, incident response, or threat hunting experience Security operations or investigations involving large-scale Kubernetes environments Experience analyzing attack behavior and prototyping high-quality detections Experience with threat intelligence, malware analysis, infrastructure as code, or forensics Experience contributing to a high-growth startup environment 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.

Ищем ML Engineer для развития ML-части e-commerce поиска: vector search, reranking, query understanding и ranking на основе click/conversion signals.

Location: Москва Наши клиенты — акционеры, бизнес-блоки Банка и более 100 миллионов клиентов Сбербанка! Мы создаём риск-инфраструктуру для устойчивого роста бизнеса, развиваем аналитическую платформу данных и переводим на AI-алгоритмы принятие кредитных решений. Наши IT-решения контролируют качество кредитного портфеля, автоматизируют процессы реструктуризации, урегулирования и сбора просроченной задолженности, контролируют алготрейдинг, рассчитывают оптимальный уровень рисков, управляют жизненным циклом моделей. Обязанности ### Задачи: * уточнение постановки задачи для определения оптимального состава данных для выборки * коммуникации с экспертным сообществом Банка для идентификации необходимых систем-источников и особенностей хранения данных внутри них * извлечение данных из источников * разработка и документирование детерминированного алгоритма трансформации и очистки данных * контроль качества выборки * разработка регулярно обновляемых витрин. Требования ### Мы ждем тебя, если ты: * сейчас обучаешься на 4 курсе бакалвриата или являешься студентом магистратуры (ИТ направления) * знаешь SQL: сложные запросы, аналитически функции, понимание физической реализации join’ов, оптимизация производительности запросов * имеешь базовые знания python * обладаешь аналитическим складом мышления, умеешь быстро погружаться в новые предметные области. Условия * офисный формат работы рядом с м. Кутузовская или м. Тульская * гибкий график и возможность совмещать с учебой: от 30 до 40 часов в неделю * стажировка длительностью от 3 до 6 месяцев с возможностью перехода в штат компании * возможность пройти обучение по интересующим тебя направлениям soft и hard skills в виртуальной школе Сбера и на специальных тренингах * возможность заниматься спортом в одном из спортзалов банка.

Задачи: — Помогать в разработке оптических коммуникационных связей между электроникой при комнатной температуре и криогенным квантовым оборудованием, исследовать, как фотоника может поддержать масштабирование сверхпроводящих квантовых компьютеров. — Основное внимание уделять созданию и эксплуатации экспериментальной платформы в разбавительном холодильнике. — Характеризовать устройства, исследовать шум и оценивать влияние оптических соединений на управление кубитами, считывание и точность операций. — Тесно сотрудничать с руководителем команды и исследовательскими партнерами, вносить вклад в технические решения по будущему стеку управления. — Строить и развивать экспериментальную платформу для сверхпроводящих квантовых вычислений с оптическими коммуникационными связями. — Проектировать и проводить эксперименты в разбавительном холодильнике, включая оптические сигнальные пути, замену и монтаж образцов, оптимизацию радиочастотной и микроволновой среды с учетом теплопроводности и бюджета диссипации, а также автоматизацию измерений. — Характеризовать оптические и криогенные электронные компоненты, включая криогенные фотодиоды, лазеры и модуляторы. — Разрабатывать эксперименты для демонстрации и характеристики одно- и двухкубитных вентилей и считывания кубитов с использованием оптических соединений. — Моделировать и анализировать точность вентилей, шум, дрейф и диссипацию для выявления ограничений и поиска способов улучшения производительности. — Оценивать технологические варианты и требования к масштабируемости для стека управления квантовым компьютером и сигнального пути. — Документировать результаты и сообщать о находках коллегам, техническим руководителям и внешним исследовательским партнерам. — Отвечать за технический вклад в грантовые проекты, включая отчетность, предложения и координацию с партнерскими компаниями и институтами. Требования: — Докторская степень (PhD) в области прикладной физики, электротехники или смежной области. — Не менее пяти лет соответствующего академического или промышленного опыта в электронике, фотонике или квантовых вычислениях. — Практический опыт проведения квантовых или активных электронных экспериментов в разбавительном холодильнике. — Способность самостоятельно настраивать, устранять неполадки, проводить и документировать эксперименты, включая работу с разбавительным холодильником и установку образцов. — Опыт работы с радиочастотным и микроволновым измерительным оборудованием, таким как анализаторы цепей и генераторы импульсов. — Навыки программирования на Python для научного программирования, автоматизации измерений и анализа данных. — Понимание аналоговой и цифровой электроники, включая шум, дрейф, отношение сигнал/шум и пропускную способность. — Свободное владение английским языком в письменной и устной форме, способность объяснять технические результаты и координировать работу с внутренними и внешними заинтересованными сторонами. Преимущества: — Опыт работы с сверхпроводящими кубитами, квантовой электродинамикой цепей, управлением или считыванием кубитов. — Опыт работы с фотоникой, оптическими соединениями или микроволновой фотоникой. — Опыт характеристики криогенных фотодиодов, крио-CMOS устройств или других криогенных электронных компонентов. — Знакомство с EXA или аналогичными инструментами для экспериментов с квантовыми процессорными устройствами. — Опыт участия в исследовательских грантах, совместных проектах или технических предложениях.

As a DevOps Engineer your core purpose is to keep mission systems running smoothly by deploying ICEYE software, troubleshooting issues, and continuously improving processes and documentation. This work directly supports the success of ICEYE's Mission business line customers.

Развитие и поддержка систем развертывания веб-сервисов компании; Выстраивание процесса CI/CD.

Location: Москва Мы ищем сильного бэкенд-разработчика, который будет отвечать за архитектуру и надежность сервисов и пайплайнов обучения ML-моделей Обязанности * разработка системного дизайна сервисов с нуля и выбор оптимальных компонентов (БД, очереди, кэши, векторные хранилища) под конкретные задачи * написание высоконагруженного и отказоустойчивого кода на Python * создание внутренних библиотек и фреймворков для упрощения работы с обучением ML-моделей * разработка пайплайнов для инференса моделей (включая LLM), управление контекстом, работа с API внешних провайдеров и локальных моделей * траблшутинг сложных проблем на стыке инфраструктуры и ML * настройка мониторинга, логирования и алертинга для сервисов * самостоятельный сбор и анализ требований от стейкхолдеров, превращение бизнес-задач в технические решения * проведение code review, помощь команде в вопросах архитектуры и лучших практик Python. Требования * опыт коммерческой разработки на Python от 5 лет (AsyncIO, Многопоточность, FastAPI, Django, Flask или аналоги) из них 1 год в ML * глубокое понимание принципов построения распределенных систем, опыт проектирования отказоустойчивых архитектур (микросервисы, event-driven, паттерны работы с отказами) * понимание GIL, async/await, работа с памятью, умение писать чистый, тестируемый и переиспользуемый код (библиотеки) * понимание того, как работают ML-модели и LLM (эмбеддинги, RAG, fine-tuning, контекстное окно), умение выбрать подходящий инструмент (LangChain, vLLM и т.д.) * опыт работы с Docker, Kubernetes, CI/CD * понимание принципов мониторинга (Prometheus, Grafana, Sentry) и умение диагностировать проблемы в проде * проактивность, умение работать в условиях неопределенности, способность самостоятельно находить требования и предлагать решения * будет плюсом опыт работы с векторными базами данных (Qdrant, Milvus, pgvector) и понимание MLOps-практик (MLflow, Clearml, Airflow, Feature Store). Условия * крупнейшее DS&AI community — более 600 DS-специалистов банка * дайджест о самых последних разработках в области DS&AI и отчеты с крупнейших конференций мира * возможность быть соавтором НИРов и статей для международных конференций * возможность выбрать удобный формат работы: гибрид или офис * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * вознаграждение за рекомендацию друзей в команду Сбера.

-Знание основных видов нагрузочного тестирования и их назначения (нагрузочное, стрессовое, объемное, тестирование стабильности и др.). -Знание основных метрик производительности и их смысла (время ответа, пропускная способность, количество одновременных пользователей, загрузка CPU/памяти и др.).

-Инфраструктура и высоконагруженный инференс (Platform Engineering): -Проектирование и поддержка GPU-кластера инференса (Nvidia) для десятков тысяч пользователей: скалирование, балансировка и приоритизация запросов, пользовательские лимиты.