Вакансии

Location: Bucharest Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION As a Senior Forward Deployed Engineer, you will own the delivery of scoped customer implementations and help turn real-world business needs into production-grade agentic automation solutions. You’ll partner closely with customer stakeholders and internal teams to design, build, integrate, and iterate on AI-enabled workflows, balancing speed, reliability, and maintainability. You’ll contribute practical field insights back to the organization, helping refine solution patterns, reusable assets, and implementation playbooks. Unlike traditional software engineers who build a single product for many customers, FDEs ship tailored solutions directly in customer environments, making the platform real for specific business processes and systems. You’ll operate with increasing independence, drive execution on well-defined workstreams, and collaborate with senior FDEs and product teams to align with broader technical direction.   WHAT YOU'LL DO AT UIPATH - Design and build AI-driven workflows, agents, and automations, aligned with UiPath's architecture and platform standards without requiring regular guidance. - Build AI Agents using UiPath technologies, including Maestro or Agent Builder - Apply practical prompt engineering skills to reliably guide agent behavior and understand model tradeoffs (capability, latency, cost) when selecting LLM providers for customer use cases. - Extend platform functionality using APIs, SDKs, and connectors to address unique customer requirements. - Debug across systems including AI inference, data pipelines, orchestration layers, and integration points, resolving most issues independently. - Contribute to internal libraries, reusable components, or frameworks that enhance consistency across customer deployments. - Anticipate delivery risks and communicate blockers, delays, and scope issues proactively to teammates and stakeholders. - Use telemetry, insights, and traces to identify optimization opportunities and failure patterns independently.   WHAT YOU'LL BRING TO THE TEAM - 5+ years of professional software engineering experience (or equivalent) delivering production software. - Strong programming skills in Python and/or TypeScript (or similar modern languages). - Experience building and shipping integrations using APIs and working with cloud services or enterprise systems. - Comfort operating in customer-facing environments with strong written and verbal communication. - Ability to independently drive scoped projects, manage risks, and deliver against deadlines. - Willingness to travel to customer sites as needed.   OUR CORE PRINCIPLES - Customer Centric: Stay close to customer users and stakeholders; anchor decisions in outcomes, adoption, and long-term success. - Breaking Silos: Collaborate across Engineering, Product, Customer Success, and customer teams to unblock delivery and align on the right solution. - Improving Agility: Prototype, test, ship, observe, and iterate—treat deployments and feedback loops as the fastest way to learn. - Dealing with Ambiguity: Make progress with incomplete information; clarify requirements through discovery, iteration, and pragmatic tradeoffs. - Building Focus: Prioritize the highest-impact workstreams, manage scope actively, and deliver durable solutions that customers can run and evolve. Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: Spain, Remote/Spain Workplace: remote Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money. The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region. Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion. ServiceDesk is the L1 layer between frontline support and engineering. Frontline agents escalate complex customer cases to us; we resolve them or route them to the right engineering team, and we own the whole path a ticket takes: from intake and classification to SLA, escalation and closure. We build our own tools for it: an in-house analytics platform, automations in CRM and Jira, and AI-assisted handling of tickets. You will help us make that path faster, clearer and easier to measure. Key Responsibilities: Own and improve the ticket flow between CRM and Jira: statuses, routing, escalation rules between L1, L2 and engineering teams; Keep ticket classification and SLA targets accurate (issue types, categories, responsible teams) and fix gaps in the data; Find where tickets get stuck, bounce back or breach SLA, and turn findings into process changes or clear tasks for engineering; Work with frontline and engineering teams on intake quality: what a good escalation looks like and how to give feedback; Automate routine steps in CRM procedures and Jira (automation rules, scripts); Contribute to our internal tools and services (TypeScript / Node.js, Go): features, fixes and integrations, through merge requests and code review; Help roll out and check AI-assisted ticket handling: what it gets right, where it fails, what to change; Measure the effect of every change with data, and report it in a clear, short form; Prepare and maintain documentation and playbooks for L1 and L2. What you’ll bring: 2+ years in technical support, support operations or a similar role with tiered support (L1/L2/L3) and SLAs; Solid experience with Jira: workflows, JQL, automation rules, dashboards; Experience with a CRM or helpdesk system (ticket lifecycle, queues, routing); SQL for your own analysis: joins, aggregations, working with large tables; Working with logs and monitoring tools to investigate issues (Datadog, Grafana, Kibana); Hands-on coding in at least one of: TypeScript / JavaScript, Go, Python (Google Apps Script counts for automation); Working with Git, merge requests and code review; Understanding of HTTP, REST APIs and webhooks; Process thinking: you can map a flow, spot the weak step and change it without breaking the rest; Clear writing in English (B2): instructions, task descriptions, short reports; Ownership and autonomy: you drive a change to the end, including agreeing it with other teams. Nice to have: Production experience with Node.js / TypeScript or Go services, and Postgres; Jira administration, Jira Service Management or Assets; Understanding of ITIL processes; Google Cloud and BigQuery; Experience with LLM tools or agents in support: prompts, evaluation, guardrails; Experience at a fintech company and/or a startup. What we offer: Full-time B2B contract Fully remote setup Up to 20% tax allowance 22 paid leave days annually Stock options (ESOP) in a fast-scaling, pre-IPO company Flexi benefits you can use for wellness, travel, or learning Work alongside a high-performing, international engineering team in a global fintech unicorn

Location: Warsaw, PL We bring startups and disruptive tech companies to the local market, offering engineers the opportunity to work on innovative, high-impact products. Join us and become a member of their R&D team while we take care of employment, HR support, a benefits package, and an enjoyable work environment. Handle (formerly 44pixels) is a London-based, VC-backed startup founded in 2024. We started as a venture studio building AI-first mobile apps, including Cue, Wordcast and Clara, and now focus on one product: Handle. ‍ Handle is an AI agent for owners of local service businesses: groomers, roofers, bookkeepers, caterers and many more. Owners chat with it, and it handles routine work such as replying to customer messages, chasing invoices and answering reviews. It connects to the tools they already use, including Gmail, Outlook, Google Calendar, WhatsApp, Messenger, QuickBooks and Xero. The owner decides what Handle can access and what needs their approval. This isn't a frontier research role. You won't need a GPU cluster, and we're not optimising for papers or leaderboards. You don't need a PhD. ‍ You'll be the first person on our team whose whole job is how good our agent is. Owners trust Handle with their customers and their business, so good means more than finishing the task. It means getting the details right, understanding what the customer needs, and knowing when to ask the owner first. You'll build the evals that measure that, and run the loop that makes it better. ‍ Our engineers have laid the groundwork for evals and own the harness, tracing and deployment they run on. You'll take the evals over and own them from here. ‍ You need to love finding out why an agent did the wrong thing, and proving your fix worked. Build and own our eval suite: scenarios, rubrics, graders, benchmarks, and the quality gates every change has to pass. Run the hill-climb loop on the agent's skills. Find where it goes wrong, form a hypothesis, change the skill or prompt, rerun the suite, and prove the fix worked without breaking something else. Judge conversation quality as well as task success: whether the agent understood the customer, said the right thing, and helped. Test new models as they come out, and separate what the model changed from what the prompts, tools and skills changed. Spot repeated failures that local fixes won't solve, and make the case for restructuring a skill or the agent. Build our view on fine-tuning: when it's worth it, what data it would need, and whether a better skill or model gets there first. First month: take over the existing evals, learn the agent's main workflows, and set a baseline scorecard. By month two: the hill-climb loop is running, every skill change goes through a regression gate, and the first improvements have shipped and been verified. By month three: a repeatable way to compare models, a ranked backlog of improvements, and a short written view on whether fine-tuning is worth exploring. You've built and run evals for an LLM product in production. You've written graders, checked an LLM judge against human ratings, and caught a regression before users did. You've worked on multi-step, tool-using agents, and you know how they fail. You write the code yourself, from graders and harness code to experiments, and you read traces without waiting on anyone. You're disciplined about experiments. You run things more than once, account for variance, and can tell a real gain from noise. You have taste in conversation. You can read a transcript and say what was wrong with it, even when the task got done. You're comfortable setting your own agenda. As the first person in this area, you'll decide what to measure first. You work comfortably in English, which is the language of our team. Hands-on post-training or fine-tuning of open-weight models. At On The Spot, we’re creating a workplace people would want to stay in: supportive, well-organized, and fair in terms of conditions and benefits. ‍ We’ll share more about our benefit package during the interviews. In the meantime, you can always check our Glassdoor reviews .

Задачи: — Обрабатывать обращения от операторов и смежных команд, выявлять причины проблем в коде и исправлять их (вторая линия поддержки). Требования: — Коммерческий опыт работы с PHP и Laravel. — Умение читать чужой код и находить ошибки. — Уверенное владение SQL. — Будет преимуществом знание JavaScript и Vue. Условия: — Работа в офисе в Алматы по графику 5/2, гибрид и плавающий график отсутствуют, студенты очного обучения не рассматриваются. — Испытательный срок 3 месяца. — ДМС после года работы. — Этапы отбора: короткая Google-анкета, интервью с HR, финальное собеседование с техническим специалистом. Технологии и инструменты: PHP 7/8, Laravel, Bitrix (легаси), MSSQL, Linux/SSH, API (Postman), Jira. Вакансия на проект страховой компании в Алматы. Компания Perfect Systems занимается разработкой ПО и автоматизацией бизнес-процессов.

Location: Remote Workplace: Remote About Us Launched in 2019, Constructor is an AI-first e-commerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains. About the Team We build the AI agent that helps merchandisers, product managers, and executives grow their e-commerce business: it finds opportunities in their data, tailors insights to each person's role, and takes routine work off their plate by delivering answers where they already work. We are transforming how digital merchandising teams work: instead of digging through reports and configuring rules by hand, they ask in plain language, get answers grounded in their own data, and approve the changes the agent prepares. Customers already rely on the agent to save time and make better decisions. We own the agent end to end, from the first question a merchant asks to the answer they act on. We also own the analytics behind it: the pipelines and cubes for search, browse, and recommendation performance, and the metric definitions merchants rely on. That is why we build the agent and the Customer Dashboard as a platform that every Constructor team extends. We create the foundation that other teams build on: the agent framework, shared components, and infrastructure. On top of it, teams add their own data, tools, and skills, so the agent can answer questions in their domain and the dashboard can show their features without separate interfaces. Each new capability gives merchants more ways to grow their business. What you'll do - Build and own the batch pipelines and cubes behind dashboard analytics and agent insights - Model shopper, trend, and benchmark data so the agent can find opportunities across the shopping journey - Shape data for each role: a merchandiser's category, a product manager's funnel step, an executive's total - Own data quality and trust: freshness, monitoring, alerting, and metric definitions - Work with engineers, analysts, and product to find the data the agent is missing and turn merchant questions into data products - Ship your data into the product: simple analytics UIs, and the agent skills, tools, and prompts that use it Requirements Must-have - Proficiency in Python and SQL (any dialect) - Experience building and maintaining batch data pipelines with Spark (PySpark) - Familiarity with the big data stack: Databricks, ClickHouse and dbt - Experience with data modeling for analytics: aggregated tables and cubes that feed dashboards and APIs - Experience with data quality and pipeline monitoring: freshness checks, alerting, incident response - Ability to prototype fast and pick the metrics that matter in e-commerce - Ability to translate business questions into technical requirements, and back - Clear communication with engineers and non-technical stakeholders Nice-to-have - Experience building frontend UIs, or willingness to work across the full stack to ship data into product features - Experience with pandas, NumPy - Experience building AI agents: tools, skills, prompts, context, and evaluations - Experience with real-time analytics: ClickHouse, Cube.js - Experience with AWS - Familiarity with statistics for experimentation (A/B tests) Benefits - 🏝️ Unlimited vacation, with a recommended minimum of 3 weeks per year - 🌎 Fully remote team: choose where you live - 🛋️ Work-from-home stipend to set up your home office - 💻 Apple laptop for new employees - 🧑‍🎓 Annual training and development budget for every employee - 👪 Maternity and paternity leave for qualified employees - 🧠 Smart colleagues who help you grow and make a meaningful impact - 💵 Base salary: 80-120K USD, depending on knowledge, skills, experience, and interview results - 📈 Stock options, in addition to the base salary - 🎉 Regular team offsites to connect and collaborate Diversity, Equity, and Inclusion at Constructor At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

Location: Tbilisi, Georgia; Limassol, Cyprus Workplace: hybrid TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries. We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group. We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience. About the team We're building a Master/Reference Data Management platform and looking for a strong Analytics Engineer to own its transformation core and semantic layer. The near-term goals are to cut the time-to-market of delivering new data to our 2M+ users by around 7x and to guarantee high-quality data across all TradingView services. We're looking for an Analytics Engineer to join the team building this platform. You will own the dbt project and the transformation layer. Your decisions will shape the canonical data model and the Gold layer the rest of the company builds on. Responsibilities Own the dbt project end to end, including transformations across all layers, reusable macros, and shared modeling rules Consolidate scattered and legacy transformations into unified, standardized pipelines Enable and expand dbt tests, and implement data quality checks across the Silver and Gold layers Design and implement golden-record determination and conflict resolution strategies for master and reference data Build and own the canonical data model, the semantic (Gold) layer, and the data catalog Define and enforce transformation standards and conventions for everyone consuming Gold, so that analysts, ops, and domain teams can self-serve Deliver data from Gold to end consumers, including integration to the frontend through internal systems What makes you the perfect fit 4 to 6 years of experience as an Analytics Engineer or Data Engineer Expert-level dbt, covering modeling, reusable macros, tests, project structure and conventions, with hands-on experience across different data sources such as RDBMS and S3 SQL as a native language, including query optimization from both the query side and the engine side, so indexes, partitions, and data layout Deep hands-on experience with data quality tooling such as dbt tests, great expectations, or soda Experience designing canonical and semantic layers, and dimensional modeling Deep knowledge of database modeling patterns Experience with master and reference data management and golden-record logic Ability to translate logic from Go, Python, or any other language into SQL Will be a plus Experience owning a key component of a mature data platform Exposure to market data or fintech What we offer you Flexible working hours and a hybrid work format Well-equipped offices for focused and collaborative work A global, distributed team of 500+ professionals Learning, mentorship, and long-term career growth Relocation support and private health insurance Performance-based bonuses TradingView Premium access Regular team events and company-wide meetups Join the TradingView team and help us build a product used by millions of traders and investors worldwide. We look forward to hearing from you! TradingView is an equal opportunity employer. We embrace diversity and are dedicated to fostering a diverse and inclusive workplace. Our success is driven by 600+ professionals from 40+ countries who speak nearly 20 languages.

Location: Dubai Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION We are looking for a Senior Director, Sales Engineering, based in Dubai, to lead our sales engineering organization across the Middle East, Africa and South Asia. You will lead the Middle East and Africa sales engineering team directly, and the South Asia sales engineering leader will report to you. You will be the sales engineering counterpart of the regional sales leader for these regions, and together you will shape how we win and grow customers in some of our fastest-moving markets. This is a leader-of-leaders role. The right person has built and run teams across both regions, has managed managers, and knows how to turn technical excellence into revenue. WHAT YOU'LL DO AT UIPATH Leadership & Strategy - Lead, grow and mentor the sales engineering teams across the Middle East, Africa and South Asia, directly and through the leaders who report to you. - Set the sales engineering strategy for both regions, in line with the International strategy and the regional revenue goals. - Partner with the regional sales leadership as their sales engineering counterpart: plan coverage, capacity and priorities together. - Attract, develop and retain top talent, and build a strong bench of future leaders. Customer Engagement - Be involved in the most strategic opportunities in both regions, and engage C-level executives on the value of the UiPath platform. - Set the standard for discovery, solution design, demos and proofs of concept, and make sure the teams apply it consistently. - Guide the teams in shaping solutions to each customer's business problems. Collaboration & Enablement - Bring the regions' needs to Product and Engineering, and help align the roadmap with what customers in these markets need. - Work with Marketing and partners on go-to-market plans, messaging and competitive positioning in the regions. - Keep the teams current on product releases, market trends and sales methodology. Operational Excellence - Define and track the KPIs that show sales engineering impact: pipeline influence, win rates and productivity. - Make sure demos, RFP responses and technical documents meet a consistent quality bar across both regions. - Bring in the tools and ways of working that let the teams scale. WHAT YOU'LL BRING TO THE TEAM - At least 5 years leading people across both the Middle East & Africa and South Asia, in any customer-facing technical function (sales engineering, pre-sales, customer success, technical account management or similar). - At least 3 years managing managers. - 10+ years of experience in pre-sales / sales engineering within enterprise software or IT (SaaS, AI, cloud, infrastructure, hardware or networking); automation experience is not required. - Strong understanding of enterprise IT architectures, integration and digital transformation. - Excellent communication and presentation skills with both technical and business audiences, up to C-level. - A track record of building sales engineering strategies that shortened sales cycles and grew revenue. - Bachelor's degree in Computer Science, Engineering, Business or a related field (MBA a plus). - Based in Dubai, or willing to relocate at your own cost. - Fluent written and spoken English is mandatory. #LI-MB1 Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: Москва Workplace: Гибридный О компании Геоэффект — это аналитический сервис компании МТС, основанный на обработке обезличенных больших данных мобильного трафика и геопозиции абонентов. Он позволяет проводить детальный анализ населения, туристических потоков, посещаемости объектов и инфраструктуры с высокой точностью и частотой обновления. Сервис используется в различных отраслях, включая ритейл, банковскую сферу, туризм, транспорт, государственное управление и урбанистику, для оптимизации решений по размещению объектов, развитию инфраструктуры, анализу аудитории и повышению эффективности бизнес-процессов. Обязанности Выгрузки, обработка гео и телеком-данных (трафик, локации нахождения абонентов); Разработка простых ETL-процессов; Выполнение ADHOC-задач на PySpark; Создание сегментов пользователей; Подготовка отчетности, обработка таблиц на PySpark Требования В том числе Студенты бакалавриата, специалитета или магистратуры; Базовое знание SQL и Python; Знание основ Hadoop и PySpark будет большим плюсом Условия Собственную платформу MTS Ocean для получения ИТ-ресурсов, а это значит, что деплой, мониторинг, observability — не будут для тебя проблемой, ты сможешь сосредоточиться на фичах; Профессиональные гильдии инженеров, где мы поддерживаем друг друга и помогаем стать лучше; Внутреннюю площадку TechTalks для обмена опытом, дискуссий, развития навыков самопрезентации; Участие во внешних IT конференциях. Мы выступаем на HighLoad++, DataFest, Mobius, Test Driven Conf, Joker, DevOps, Матемаркетинг и даже проводим собственную конференцию по архитектуре True Tech Arch; Полезные курсы и вебинары в корпоративном университете и электронную библиотеку; ДМС с первого месяца работы, включая стоматологию; Страхование от несчастных случаев с 1 месяца работы. Материальную помощь в сложных жизненных ситуациях; Отпуск 28 календарных дней (+3 дополнительных дня за ненормированный рабочий день); Гибридный формат работы; Прием врачей общей практики и массаж в офисе; Мобильная связь за счет компании и льготные тарифы для близких; Подписка на онлайн-кинотеатр KION, сервис МТС Музыка, книжный сервис Строки от МТС, безлимитные мессенджеры и соцсети.

Требования: — Опыт работы с Python не менее 5 лет, умение писать production-ready код и использовать паттерны проектирования. — Знание и опыт работы с Docker и Kubernetes. — Опыт работы с Apache Airflow. — Навыки работы с Apache Kafka и REST API. — Знание баз данных и распределённых вычислений. — Опыт использования GitLab CI или GitHub Actions. — Навыки мониторинга с Prometheus и Grafana. — Владение системой контроля версий Git. — Будет преимуществом понимание жизненного цикла MLOps. — Опыт работы с Feature Store и DVC. — Базовые знания машинного обучения, глубокого обучения и методов валидации моделей. — Опыт работы с Apache Spark и Hadoop. Локация: удалённо, Москва или Санкт-Петербург. Требуется гражданство РФ. Оформление через ИП или самозанятость.

Задачи: — Проектировать и разрабатывать дашборды и отчёты в BI-системах (Power BI, Superset) — Повышать долю процессов, покрытых ии-агентами или генеративными пайплайнами с использованием LLM — Обеспечивать наглядность и понятность представления данных для бизнес-пользователей — Формировать регулярную и ad-hoc отчётность Департамента — Поддерживать и развивать существующие отчёты и дашборды — Обеспечивать единые стандарты визуализации и дизайна отчётности — Участвовать в разработке и внедрении новых подходов к визуализации данных и отчётности — Управлять зависимостями, влияющими на своевременность построения отчётности (источники данных, доступы, смежные команды) Требования: — Уверенное владение SQL — Опыт работы с Python — Опыт работы с BI инструментами (Power BI или иные инструменты визуализации) — Знание LLM Условия: — Внутренние семинары, внутренние митапы — ДМС со стоматологией для сотрудников и скидка на покупку ДМС для ближайших членов семьи — Техника для комфортной работы — Сессии профессионального развития персонала с планом индивидуального развития каждого сотрудника

Location: Москва Мы — команда GenBI and Agentization, разрабатывающая AI-ассистента для платформы Navigator BI — ключевой бизнес-аналитической системы банка. Наш проект уже решает задачи, значимые для всей экосистемы Сбера. Наша цель — создать интеллектуального помощника, который помогает пользователям: * находить нужные дашборды и отчёты * получать статистику и динамику показателей естественным языком * генерировать новые визуализации (графики, виджеты, таблицы) на основе сырых данных * отвечать на вопросы, касающихся бизнес-показателей. Обязанности * повышать метрики качества AI-сервиса: дообучать и адаптировать модели, улучшать пайплайны обработки запросов * лидировать выделенное направление в команде: проводить code review, предлагать архитектурные решения * тестировать гипотезы по улучшению пользовательского опыта — от качества поиска до точности генерации визуализаций * интегрировать LLM в существующие процессы, развивать RAG-компоненты и агентную логику * взаимодействовать с командой разработки и бизнес-заказчиками для уточнения требований и постановки задач. Требования * опыт разработки LLM-приложений и/или агентных систем * глубокое понимание современных NLP-архитектур (трансформеры, механизмы внимания) * уверенное владение PyTorch и LangChain Будет плюсом: * опыт работы с поисковыми системами (OpenSearch, Elasticsearch) и векторными базами данных * опыт дообучения LLM (fine‑tuning) и построения RAG-пайплайнов * знание MLOps-практик (CI/CD для ML, мониторинг моделей) * понимание архитектуры агентных систем * умение самостоятельно вести задачи от гипотезы до внедрения * опыт использования GigaChat, Kandinsky и аналогов в продуктах. Условия * комфортный современный офис рядом с м. Кутузовская * гибридный 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 * 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: Москва Ищем опытного hardware-инженера в команду разработки электроники антропоморфного робота. Основной фокус роли — разработка электронных устройств полного цикла: от проработки архитектуры и схемотехники до трассировки PCB, запуска, отладки и сопровождения изделия. Приоритетная специализация — силовая электроника. При этом ожидаем уверенную работу с цифровой электроникой и современными интерфейсами. Обязанности * участие в проработке архитектуры электронных устройств * разработка принципиальных электрических схем * трассировка многослойных PCB * разработка и модифицирование силовой электроники (контроллеры электроприводов, DC-DC преобразователи, BMS, системы распределения и управления питанием, зарядные устройства и другие силовые узлы) * разработка цифровых и интерфейсных узлов ( MCU и периферия, CAN / CAN FD, RS-485, Ethernet, SPI / I²C / UART и тд) * сопровождение и модифицирование аппаратной части carrier board для SOM, коммуникационных плат и роутеров, в том числе устройств с 10G Ethernet и PCIe * bring-up разработанных плат. * сопровождение изделия на этапах прототипирования, испытаний и производства. Требования * высшее техническое образование * практическая экспертиза в схемотехнике и трассировке PCB от 3-х лет * опыт разработки электронных устройств полного цикла от 3-х лет * опыт разработки преобразователей питания, силовых цепей, систем защиты и измерения токов и напряжений от 3-х лет * опыт разработки устройств с цифровыми интерфейсами от 3-х лет * опыт запуска и аппаратной отладки сложных электронных устройств * умение системно локализовывать аппаратные проблемы и находить root cause * уверенная работа с datasheet, reference design, errata, application notes и другой технической документацией производителей компонентов * опыт анализа и модификации существующих устройств и сторонних схемотехнических решений. Будет преимуществом: * опыт разработки контроллеров электродвигателей и силовых инверторов * опыт разработки BMS * практический опыт работы с аккумуляторными батареями * опыт разработки carrier board для SOM * практический опыт разработки или модификации устройств с высокоскоростными интерфейсами * общее понимание современных ИИ-инструментов и их возможностей. Условия * комфортный современный офис г. Москва, МЦК ЗИЛ, Автозаводская 23а к2 * **формат работы - офисный** * 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 вакансий уровня Junior) * 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: Москва Наша команда занимается развитием платформы данных в блоке «Люди и Культура». Создаваемые нами Data-продукты являются основой для комплексной HR-аналитики, углубленных исследований по человеческим ресурсам и создания эффективных ML-моделей. Они помогают принимать осознанные решения на основе реальных данных. Мы ищем сильного Python разработчика для развития BI/ETL инструментов и реализации интерфейсов доступа к данным. Первый этап отбора на эту вакансию — общение с AI- рекрутером. После отклика вам на почту придёт приглашение пройти первичное интервью с ГиаРекрутером. Диалог займёт примерно 10 минут. Его задача — уточнить недостающие детали и ускорить рассмотрение вашей кандидатуры. ГиаРекрутер только начинает свой путь, поэтому просим относиться с пониманием. Ваш опыт и участие помогут сделать его удобным и полезным! Обязанности * написание бэкенд сервиса по оценке качества агентов и MCP Пульс (FastAPI) * поддержка текущего функционала, реализация необходимых расширений и интеграций * участие в разработке архитектуры программного продукта * участие в настройке CI/CD * взаимодействие со смежными командами (DE, DevOps, QA, SRE). Требования * опыт коммерческой разработки на Python от 5 лет * глубокое понимание asyncio, multithreading, multiprocessing для создания высокопроизводительных приложений * продвинутые знания SQL: сложные JOIN, CTE, оконные функции, оптимизация запросов (EXPLAIN), работа с подзапросами * понимание алгоритмов и структур данных для решения нетривиальных задач * опыт работы с Git, Docker, Kubernetes, nginx, OAuth/OpenID * практический опыт работы с Redis (кэширование, брокер) и ClickHouse (или другими колоночными СУБД) * опыт работы с очередями сообщений: Kafka и/или Celery * практический опыт с инструментами ML/DS: LangChain/LlamaIndex, LLM, MLflow, pandas. Будет плюсом: * опыт с langfuse, phoenix или другими средствами визуализации трассировки агентов * Опыт создания MCP серверов/MCP клиентов * Опыт работы с tool calling * опыт создания дашбордов для мониторинга в Grafana * навыки работы с генеративными AI-моделями * опыт создания AI-агентов и использования их в работе * опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов. Условия * гибридный формат работы. Кутузовский проспект 32 к.1 * ежегодный пересмотр зарплаты, квартальная и годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте * 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: New York Workplace: Remote WHY CLOUD INFRASTRUCTURE AT LANGFUSE Your work will keep Langfuse running — everywhere. Langfuse processes over a billion trace events per month. When a Fortune 50 company relies on Langfuse in production, they're relying on the infrastructure you operate. You'll own uptime, performance, and cost efficiency across our entire cloud footprint — and you'll make sure every self-hosted deployment runs just as smoothly. You'll operate Langfuse Cloud on AWS ECS Fargate and ClickHouse Cloud, with Datadog as the observability backbone. You'll also own our public self-hosted infrastructure — including our Helm chart, Docker Compose setup, and everything in between — so that teams from startups to enterprises can run Langfuse on their own terms. This isn't a "maintain what exists" role. We're scaling fast, and you'll be the person who makes sure the infrastructure grows ahead of demand — not behind it. Langfuse is now part of ClickHouse, which means the team behind the database at the core of our stack is one channel away. Few infrastructure roles give you that kind of direct access to the people who build your most critical dependency.   YOU WILL GROW AT LANGFUSE BY Own Langfuse Cloud operations: You'll run our production environments on AWS ECS Fargate and ClickHouse Cloud. You'll manage deployments, autoscaling, capacity planning, and cost optimization — making sure we stay fast and affordable as traffic scales. Build world-class observability: You'll own our Datadog setup end to end — dashboards, alerts, and SLOs. When something degrades, you'll ensure we know before our customers do. You'll build the monitoring culture that lets the whole team ship with confidence. Make self-hosting effortless: Thousands of teams run Langfuse on their own infrastructure. You'll own and evolve our Helm chart, Docker Compose configuration, and deployment documentation. You'll turn "works on my machine" into "works on every machine" — from a single-node setup to a multi-region enterprise deployment. Automate everything: CI/CD pipelines, infrastructure-as-code, automated scaling, zero-downtime deployments. You'll replace manual processes with automation that makes the team faster and the platform more reliable. Scale for what's next: We're growing fast and new product directions — like complex long-running agent observability and real-time evaluation — push the infrastructure in new ways. You'll be thinking ahead about what breaks at 10x scale and building the foundation before we get there. 10x is always just one quarter away here at Langfuse. Harden security and compliance: As more enterprises adopt Langfuse, you'll help ensure our cloud and self-hosted deployments meet the security and compliance bar that large organizations require.   WHAT WE'RE LOOKING FOR - Strong infrastructure or SRE engineer who gets excited about running systems at scale and making them better every day - Experience operating production workloads on AWS (ECS/Fargate, networking, IAM, S3, etc.) or on comparable hyperscale vendors. - Comfortable with container orchestration — Kubernetes and/or ECS, Helm charts, Docker - Experience with infrastructure-as-code (Terraform, Pulumi, CloudFormation, or similar) - Strong monitoring and observability instincts — you've built dashboards and alerts that actually caught problems (Datadog experience is a plus) - You organize yourself. You have strong opinions about reliability, automation, and how to ship infrastructure changes safely - Interest in open source software and genuine enjoyment helping users debug their self-hosted deployments - Thrives in a small, accountable team where your output is visible and matters - CS or quantitative degree preferred Bonus points: - Experience with ClickHouse Cloud or other managed analytical databases - Background in operating high-throughput event processing or observability infrastructure - Contributions to open source infrastructure tooling (Helm charts, Terraform modules, etc.) - Former founder PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Требования: — Необходим опыт работы с Python, SQL, PyTorch, Scikit-learn и Pandas. — Практические навыки использования FastAPI и Pydantic. — Опыт полного цикла разработки ML-моделей: от постановки задачи и подготовки данных до внедрения в production и поддержки. — Знание техник оценки ML-моделей, включая time-aware validation, backtesting, holdout datasets, calibration и error analysis. — Опыт создания CI-based regression suites для контроля качества моделей. — Навыки работы с model serving, MLOps, experiment tracking, model registries и контейнеризацией. — Опыт мониторинга моделей, выявления data drift и model degradation, а также организации переобучения. — Понимание вопросов data privacy, PII и тестирования на утечку приватных данных. — Опыт uncertainty quantification и работы с prediction intervals. — Дополнительным плюсом будут знания embeddings, retrieval systems, synthetic data generation, differential privacy, geospatial data, LangGraph, Airflow, Step Functions, а также опыт в сфере недвижимости и финансов. Задачи: — Разработка и внедрение ML-моделей для прогнозирования occupancy, headcount, rent и финансовых показателей. — Оценка качества моделей, проведение backtesting и анализ ошибок. — Разработка и поддержка ML-сервисов, API и MLOps-процессов. — Мониторинг production-моделей, контроль drift и degradation, организация переобучения. — Работа с embedding и retrieval-системами, synthetic data pipelines. — Взаимодействие с командами Product, Platform Engineering и Data Platform. Условия: — Только для фрилансеров, аустафф и рекрутинговые компании не рассматриваются. Требуемый уровень английского языка: B2. Опыт работы: от 5 лет на позиции Senior с навыками Python и SQL. География: LATAM.

Location: Москва Мы создаем передовые решения в области интеллектуальной обработки неструктурированного контента бизнес-инициатив Банка и жизненного цикла AI Агентов, в том числе хранения и эволюции памяти. Наши продукты составляют сервисы от high-load до UI и располагаются в 3 сегментах сети: * RAG Platform * AI Agents SkillHub * AI Agents Memory * LLM Harness * AI Studio UI Наша платформа поддерживает и развивает более 300 инициатив, обрабатывает 100М+ запросов ежемесячно и интегрирована во все клиентские сценарии банка. Мы ищем Lead DevOps с сильным уклоном в Platform Engineering, который возглавит направление DevOps платформы: сформирует эффективные процессы, осуществит переход с ClickOps, legacy кодовой базы на тестируемый код, современные GitOps практики (в том числе перестройка CI/CD пайплайнов) для всех продуктов трайба. Вы будете отвечать за конечные метрики пользования платформой несколькими командами разработки и сопровождения (DORA и пр) и будете напрямую влиять на процессы внедрения наших продуктов, улучшая их стабильность, предсказуемость и общие трудозатраты команд на релиз. Обязанности \- руководство направлением DevOps платформы \- проектирование и реализация перехода на GitOps подход \- подбор команды, планирование целей на спринт/квартал/год \- выстраивание процессов по взаимодействую с платформой со смежными командами разработки и сопровождения \- контроль и влияние на DORA метрики. Требования • проверенный опыт в создании DevOps платформы, которой пользуются несколько команд/продуктов • инженерный подход к написанию тестируемого кода • продвинутое понимание k8s/openshift, ArgoCD, Helm • архитектурное понимание и умение планировать вид платформы на годы вперед • навыки технического ведения platform engineering направления - от сбора требований от стейкхолдеров до реализации CI/CD пайплайнов • сильный уровень Python / Java / иной язык разработки. Понимание groovy бонусом. **Будет плюсом** * желание разбираться и устранять проблемы в корне, нетерпимость к "заплаткам" и накоплению техдолга * умение обосновывать сложные технические решения и в том числе выдержка и умение говорить "нет" * опыт миграций DevOps стека работающего продукта * кросс-командная коммуникация и трансляция требований на команды разработки и сопровождения * работа с multi-tenant / segmented-network продуктами. Условия * гибридный формат работы * годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * регулярные митапы и развитое DS-community * 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 Сбер.

Location: Pristina, Kosovo Workplace: fully We are looking to hire ambitious entrepreneurs to start and scale their own startups. We are serial entrepreneurs, for example Paul Müller (founder Adjust, €1.2B exit) and Petter Made (founder SumUp, €8B) who are eager to support outlier personalities and serial entrepreneurs to build €1B+ companies. Our offer: A salary while you build your startup as you will directly be employed by us. Alternatively, you can opt for up to €500k in funding. 1:1 sparring with unicorn founders on a weekly basis Community : Access to the top 0.1% of founders, peers and investors Team building : Hiring top notch talent supported through our network (over 50,000 professionals) Distribution : Support in reaching product-market-fit and building up a sales force / marketing machine Funding support for securing a multi-million euro funding round within 12 months (on average, EWOR Fellows raise > €2M after our Grand Pitch) One of our fellows set a record for Europe’s largest pre-seed round by a first-time founder, securing a €12M pre-seed investment. Tasks You will own, build, and run your startup in fields such as Supply Chain You will embark on an extensive personal development journey crafted by unicorn founders and follow a fully customised programme enhancing your goal, time, and energy management You will receive support in hiring through our network to over 50,000 professionals and advice as well as best practices from serial entrepreneurs You will receive intensive coaching to make your startup ready to raise millions in funding You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing engine respectively Requirements You are based in Europe or the Americas or open to relocate You are willing to take full responsibility for your own startup and scale it to €100M+ in revenues You have excellent communication skills in the English language Join us and build a €1B+ company with us!

Location: Sofia, Bulgaria Workplace: fully We are looking to hire ambitious entrepreneurs to start and scale their own startups. We are serial entrepreneurs, for example Paul Müller (founder Adjust, €1.2B exit) and Petter Made (founder SumUp, €8B) who are eager to support outlier personalities and serial entrepreneurs to build €1B+ companies. Our offer: A salary while you build your startup as you will directly be employed by us. Alternatively, you can opt for up to €500k in funding. 1:1 sparring with unicorn founders on a weekly basis Community : Access to the top 0.1% of founders, peers and investors Team building : Hiring top notch talent supported through our network (over 50,000 professionals) Distribution : Support in reaching product-market-fit and building up a sales force / marketing machine Funding support for securing a multi-million euro funding round within 12 months (on average, EWOR Fellows raise > €2M after our Grand Pitch) One of our fellows set a record for Europe’s largest pre-seed round by a first-time founder, securing a €12M pre-seed investment. Tasks You will own, build, and run your startup in fields such as Supply Chain You will embark on an extensive personal development journey crafted by unicorn founders and follow a fully customised programme enhancing your goal, time, and energy management You will receive support in hiring through our network to over 50,000 professionals and advice as well as best practices from serial entrepreneurs You will receive intensive coaching to make your startup ready to raise millions in funding You will iterate your product with us until having reached product-market-fit and receive support in building up a sales force or creating a marketing engine respectively Requirements You are based in Europe or the Americas or open to relocate You are willing to take full responsibility for your own startup and scale it to €100M+ in revenues You have excellent communication skills in the English language Join us and build a €1B+ company with us!