Вакансии

Location: Москва Мы команда DS Департамент «Занять и сберегать» (Управление искусственного интеллекта и исследования данных), мы умеем быстро и качественно проверять гипотезы, строить ML-модели, консультировать бизнес, проводить A/B-тесты и защищать финансовые результаты. Вас встретит дружная команда, мощные кластеры, много данных и самое главное – интересные, амбициозные и сложные задачи. Мы разрабатываем и внедряем решения от идеи до вывода в промышленную эксплуатацию, включая исследования источников, построение витрин, разработку моделей и встраивание в существующую инфраструктуру исполнения моделей. У нас вы сможете поработать с действительно большими данными и внедрить решения масштаба страны, используя самый современный технологический стек. Обязанности Ключевые направления, в котором вы будете работать: * ценообразование * uplift-моделирование * задачи ранжирования * модели склонности * look-a-like * response модели * работа с регрессионными таргетами * кластерный и факторный анализ. Требования * опыт в части ML задач - не менее 1 года * опыт работы и глубокое понимание классического ML * продвинутые знания статистики и машинного обучения * опыт оценки качества результатов (DS и бизнес-валидация) * опыт проведения A/B-тестов * хорошие знания Python, SQL, Bash, PySpark. Будет плюсом: * опыт работы с Transformers * успехи в ML-соревнованиях, хакатонов * навыки работы с генеративными AI-моделями * опыт создания AI-агентов и использования их в работе будет преимуществом. Условия * работа в удобном и современном офисе недалеко от станции метро Кутузовская. * 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 * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Cyprus Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat. What You Will Be Doing Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment. Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle. Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts. Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production. Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred. Who You Are At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI). Strong in SQL and Python, and with cloud data platforms (e.g. Databricks). Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity. Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus. Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting. A quantitative education (math, engineering, economics, or CS) and full working proficiency in English. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Колеги, кому сильного Tech Lead / Senior Backend Engineer? 🔹 12+ років у backend (Python, Go, AWS, Kubernetes, мікросервіси).

Фултайм, удаленно, 2/2, ДМС. – Windows Server, AD, CA, DNS, GPO, TS.

Опыт тестирования программного обеспечения в течение 5+ лет с сильной практической экспертизой в тестировании данных.

Ищем Senior DevOps Engineer в международную fintech-компанию. Роль связана с развитием и поддержкой production-инфраструктуры, Kubernetes-среды, CI/CD и GitOps-процессов.

Мы ищем сильного технического лидера, который заберет на себя основной контур разработки: архитектуру, качество кода и предсказуемые циклы поставки. Сейчас у нас около 50 разработчиков, 2 основных стека — Python и TypeScript.

Location: Tbilisi, Georgia On behalf of UrbanTech Client #1 , SD Solutions is looking for a talented Senior Platform Engineer you’ll own and evolve our AWS production infrastructure and build internal services and AI-powered automations that make our teams more effective. This is an infrastructure-focused engineering role requiring deep AWS and Terraform expertise, strong production ownership, and the ability to build reliable platform capabilities. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. Responsibilities: Build and evolve platform services that improve productivity, reliability, and developer experience across the company. Develop AI-driven tools and automations , including internal assistants, workflow orchestrators, and intelligent internal integrations. Own and operate our production environments on AWS end-to-end, using Terraform to deliver secure, scalable, reliable, and cost-efficient infrastructure. Create self-service capabilities that allow teams to move independently without relying on manual processes. Integrate platform components with our .NET and Python environments running on AWS. Collaborate with Platform, Security, DBA, Product, and business stakeholders to deliver impactful, cross-organizational solutions. Improve engineering efficiency through reusable templates, best practices, and inner-source contribution models. Requirements: 6+ years of engineering experience, including significant experience in platform infrastructure, DevOps, site reliability engineering, or cloud engineering. Deep hands-on expertise with AWS services and architecture, including EKS, Lambda, ECS, IAM, S3, networking, security, and high-availability design, together with advanced Terraform experience. Strong proficiency in Python ; good familiarity with .NET . Experience building or integrating AI-driven agents, LLM-based tools, or intelligent automation . Proven experience owning production environments, including infrastructure changes, deployments, availability, observability, incident response, security, scalability, and operational maintenance. Excellent collaboration and communication skills with both technical and non-technical partners. A mindset geared toward automation, scalability, and secure-by-default engineering . About the company: A mobile payments and driver services platform providing turnkey parking solutions to local governments and parking operators. The company has accumulated millions of registered users and achieved widespread adoption in its home market, becoming a go-to app for parking payments and vehicle-related services. By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

Location: European Union; Moldova; Latvia; Albania; North Macedonia; Slovakia; Malta; Croatia; Czech Republic; Slovenia; Romania; Spain; Bulgaria; Kazakhstan; Poland; Hungary; Montenegro; Estonia; Ukraine; Cyprus; Lithuania; Greece; Serbia; Bosnia; Georgia Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE Ruby Labs is hiring an experienced Senior Data Analyst to join our fast-paced, high-ownership environment. You will drive analytics across subscription products and web funnels, partnering with Product, Marketing (UAM), and Data teams to improve conversion, retention, and LTV- while ensuring trusted tracking, strong data models, and decision-ready reporting. This role is hands-on and cross-functional: you will own analysis from problem framing to recommendation, and you’ll mentor analysts while collaborating closely with Data Engineering/BI to keep data foundations reliable. RESPONSIBILITIES - Partner with Product, Marketing, and Data Teams to define KPIs, success metrics, and decision criteria. - Create new dashboards, maintain and improve existing reporting (e.g., Product Reports, Marketing Performance Reports), ensuring clarity and trust. - Deliver full-funnel analysis, identify bottlenecks, and propose improvements or A/B test ideas. - Analyze payment and subscription performance across checkout, trial-to-paid conversion, renewals, failed payments, refunds, and chargebacks; identify revenue leakage and recommend improvements. - Partner with Product, Engineering, and Finance to investigate payment issues and ensure payment metrics and revenue reporting are accurate and consistent. - Lead user behavior analysis (journeys, drop-offs, activation/aha moments) using event data. - Monitor key metrics and anomalies; escalate issues and communicate updates to stakeholders with defined SLAs - Own and maintain event taxonomy and tracking structure (events, properties, naming conventions); validate implementation and business logic alignment. - Design and build robust, reusable SQL data models (clean layers, consistent definitions, performance-minded queries). - Mentor Junior/Middle Analysts in SQL, validation, funnel/cohort analysis, and experimentation quality; provide regular feedback and guidance. - Give and receive direct, actionable feedback with peers and the Leadership Team; maintain a high bar for quality in a demanding environment. REQUIREMENTS - Degree in an analytical field (e.g., Mathematics, Data Science, Economics) or equivalent practical experience. - 3+ years of experience as a Data Analyst, with proven ownership of end-to-end analysis and stakeholder delivery. - Strong analytical and problem-solving skills; ability to identify trends, patterns, and root causes in large datasets. - Excellent verbal and written communication; ability to translate analysis into clear business actions. - Ability to think strategically and make data-driven recommendations aligned with company goals. - Strong experience in Product Analytics: funnels, cohorts, retention, LTV, churn, segmentation. - Hands-on experience with event analytics tools: Mixpanel, GA4, Amplitude, or similar - Advanced SQL - Experience with popular BI tools such as Tableau, Looker, or similar - Experience in subscription business - Hands-on experience analyzing payment and subscription data, including checkout conversion, payment approval rates, renewals, failed payments, refunds, and chargebacks. - Ability to adapt quickly, learn new tools and methods efficiently, and work effectively in a high-pressure, fast-changing environment - Strong spoken and written English NICE TO HAVES - Experience in Marketing Analytics - Experience with Python, R - Experience with GCP, BigQuery - Experience with Google Ads, Facebook Ads etc - Experience with orchestration frameworks such as Airflow, dbt - Experience with git and code review process LOCATION Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours. BENEFITS Discover the perks of being part of our vibrant team! We offer: - Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth! INTERVIEW PROCESS After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps: - Recruiter Screening (40 minutes) - Technical Interview (60 minutes) - Final Interview (30 minutes) LIFE AT RUBY LABS At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success. #LI-Remote

Развивать ядро платформы: фреймворк Data Vault, обвязку Airflow, lineage-инструменты — проектировать API, которыми будут пользоваться другие инженеры, и нести за них ответственность. Писать библиотеки и фреймворки на Python: клиенты к источникам, инструменты тестирования пайплайнов, обёртки над инфраструктурой.

• 5+ лет опыта в прикладном ML/AI с ответственностью за системы end-to-end. • Уверенное владение Python.

Location: Москва Наша команда занимается разработкой и внедрением ИИ-агентов, а также созданием моделей классического машинного обучения. Мы решаем задачи от идеи и прототипа до продакшена, помогая бизнесу автоматизировать процессы и принимать более точные решения. В роли предстоит работать на стыке агентных AI-решений, RAG и классического ML, находя баланс между качеством, скоростью и стоимостью решений. Мы ищем специалиста, который хочет развиваться в сильной инженерной команде и участвовать в создании продуктов, приносящих измеримую пользу бизнесу. Обязанности * Разрабатывать и поддерживать AI-агентов на базе LangChain/LangGraph от прототипа до продакшена * использовать RAG для построения пайплайнов семантического поиска и интеграции с источниками данных * применять методы NLP для оптимизации стоимости и эффективности решений * участвовать в разработке и доработке ML-моделей * оценивать качество моделей и пайплайнов, выбирать и обосновывать метрики * работать с данными и SQL для подготовки датасетов и анализа результатов * поддерживать решения на этапе передачи в продакшен и дальнейшей эксплуатации. Требования * Знание Python на уверенном уровне * знание LangChain/LangGraph для построения агентных систем * знание PyTorch и Hugging Face Transformers * знание SQL * понимание полного цикла ML и основ математической статистики * понимание RAG и принципов построения пайплайнов семантического поиска * умение оценивать качество моделей и аргументировать выбор метрик. **Будет плюсом:** * Опыт оптимизации LLM для инференса (PEFT, LoRA) * опыт работы с кросс-энкодерами * опыт построения многоагентных систем * опыт работы с Hadoop/Spark * навыки Python backend-разработки. Условия * Комфортный офис в Москве * офисный формат работы на Кутузовском пр.32 * конкурентная компенсация (оклад и премии по результатам деятельности) * ДМС с первого рабочего дня, страхование от несчастных случаев и тяжелых заболеваний * материальная помощь и социальная поддержка, корпоративная пенсионная программа * дисконт-программы от компаний-партнеров * бесплатный фитнес на территории работодателя * подписка Прайм с возможностью совместного использования на трех близких * внешнее и внутреннее профессиональное обучение: семинары, тренинги, конференции, корпоративная библиотека.

Location: Москва Мы – трайб «Управление модельного риска». Мы разрабатываем новую инновационную Платформу Sberbank.DS Ecosystem. Sberbank.DS Ecosystem - это линейка продуктов, решающая задачи по ускоренной разработке, валидации и мониторингу AI моделей в инфраструктуре Банка, SberCloud. Обязанности * техлидерство: способность принимать архитектурные решения, наставничество и код-ревью * инцидент-менеджмент: умение устранять инциденты и не допускать их повторного возникновения вместе с командой * коммуникация: ясно доносить идеи как до разработчиков, так и до нетехнических специалистов, своевременно эскалировать проблемы * операционные системы и сети: уверенное администрирование Linux (умение читать логи, управлять процессами, файловой системой), понимание стека TCP/IP, настройка Nginx * мониторинг и логирование: опыт работы с системами мониторинга (Prometheus, Grafana, Zabbix) и логирования (ELK/Elastic Stack, Loki) для анализа событий и создания дашборов * управление инцидентами: реагирование на алерты, работа с инцидентами по runbook, эскалация проблем на разработчиков и ведение документации * базы данных и очереди: базовые знания SQL, опыт работы с реляционными СУБД (например, PostgreSQL), понимание очередей сообщений (Kafka, RabbitMQ) * автоматизация (начальный уровень): написание скриптов на Bash и/или Python для автоматизации рутинных задач. Требования * опыт лидирования команды - от 5 человек в управлении * уверенное администрирование Linux (логи, процессы, сеть, файловая система) * понимание сетевых протоколов (TCP/IP, HTTP, DNS) и опыт настройки Nginx/HAProxy/Envoy * ориентация на конечный результат — восстановление сервиса и выполнение SLA важнее формального закрытия заявок * стрессоустойчивость и способность сохранять ясность мышления при инцидентах * высокая внутренняя мотивация к профессиональному развитию, интерес к устройству сложных систем * самостоятельность и организованность — умение разбираться в проблеме без готового runbook, анализ логов, метрик и кода до эскалации Условия * комфортный современный офис рядом с м. Кутузовская * офисный формат работы * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте (для Junior позиций) * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: London Workplace: Hybrid ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for a Data Scientist to take ownership of the datasets and evaluation workflows that underpin our AI Safety work. You'll turn real-world product data into reliable, well-structured datasets for training and evaluating models, and help build the processes and infrastructure to continuously assess how those models perform in production. This is a hands-on role at the intersection of data science, ML, AI safety, and policy. You'll work closely with safety researchers, engineers, and policy specialists to translate complex safety requirements into practical data and evaluation systems - starting hands-on with collection, analysis, and labelling, then building the methodologies, contributor networks, and quality standards that let this work scale. In this role, you will - Own safety datasets end-to-end: collection, cleaning, labelling, quality control, versioning, and readiness for training and evaluation. - Translate safety policy into clear, consistent labelling and evaluation criteria, working closely with policy specialists. - Design and manage labelling processes, including sourcing, onboarding, and overseeing external contributors to a high quality bar. - Build evaluation workflows for models in production, using real-world data to track performance and surface issues. - Develop lightweight Python/SQL pipelines and tooling to make data work faster and reproducible, partnering with ML engineers on what "training-ready" looks like. Who you are - Experience as a Data Scientist, or similar, working with real-world datasets and ML models. - Strong grasp of what makes a good dataset: collection, cleaning, sampling, labelling, quality control, evaluation. - Comfortable with Python and SQL for analysis and practical data workflows. - Strong critical thinking and judgement - comfortable with ambiguity and nuance, and able to turn complex guidelines into consistent, scalable decisions. - Autonomous and a clear communicator, able to work across disciplines (policy, engineering, research) in a fast-moving, still-forming environment. Bonus points - Experience in AI safety, trust & safety, content moderation, or fraud/abuse detection. - Experience building datasets or evaluation frameworks, or with adversarial/safety-focused ML. - Experience managing human-in-the-loop labelling processes, dataset versioning, or ML pipeline tooling. - Experience operationalising guidelines with policy or legal teams. Location This role is based in London, where you'll work closely with our AI Safety and Policy teams. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Figure is looking for a Middleware Software Intern to build and test robot platform infrastructure software.

OpenMind is looking for a Machine Learning Engineer to build, deploy, and optimize multimodal perception and reasoning models for physical robots.

Задачи: — Отслеживать коммерческие кейсы — Отчитываться по ключевым показателям эффективности (KPI) — Поддерживать развертывание решений для клиентов — Координировать выполнение задач Требования: — Навыки работы с SQL — Опыт работы с Looker — Знание Python Условия: — Зарплата от $62,400 до $83,200 в год

Location: Москва Мы команда GigaData, занимаемся сбором и обработкой больших объемов данных для систем поиска и обучения фундаментальных моделей. Ищем Senior DevOps Engineer, который будет отвечать за надежность, масштабирование и автоматизацию инфраструктуры сбора данных: серверов, прокси, сетевых ресурсов, мониторинга и CI/CD. Обязанности * проектировать, развивать и сопровождать production-инфраструктуру * обеспечивать надежность, доступность и масштабируемость сервисов * автоматизировать provisioning, конфигурацию, деплой и эксплуатационные операции * развивать инфраструктуру прокси-серверов, IP-пулов и сетевых ресурсов * настраивать мониторинг, алертинг, логирование и observability * расследовать инциденты, устранять root cause и повышать отказоустойчивость * оптимизировать стоимость и использование серверов, сетей и трафика * работать с провайдерами, дата-центрами и внутренними командами Требования * опыт работы DevOps / SRE / Infrastructure Engineer от 4 лет * уверенное администрирование Linux в production * опыт эксплуатации высоконагруженной или распределенной инфраструктуры * хорошее понимание TCP/IP, DNS, HTTP/HTTPS, routing, NAT, firewall, load balancing * опыт с Docker и Kubernetes * опыт с Ansible, Terraform или другими IaC-инструментами * опыт настройки CI/CD * опыт с Prometheus, Grafana, ELK/Loki или аналогичными системами * умение расследовать сложные инфраструктурные инциденты * самостоятельность, системное мышление и ответственность за production ### Будет плюсом * опыт эксплуатации крупных парков прокси-серверов * опыт работы с IPv4-подсетями, IP-пулами и сетевыми ресурсами * понимание ASN, BGP, RIR, WHOIS/RDAP * опыт работы с API хостинг-провайдеров * навыки автоматизации на Python, Go или Bash * опыт capacity planning и оптимизации инфраструктурных затрат Условия * стабильный оклад и премии по результатам работы, ежегодный пересмотр зарплаты * комфортный современный офис * гибридный формат работы: встречаемся очно в офисе 1 раз в неделю * корпоративный спортзал и зоны отдыха * уникальная система обучения Сбера для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте * расширенный ДМС и льготное страхование семьи * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * бесплатная подписка СберПрайм, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера * корпоративная пенсионная программа