Вакансии

Встраивать и сопровождать процессы SSDLC / DevSecOps в CI/CD. Настраивать и развивать инструменты SAST, DAST, SCA, Secret Detection, снижать количество ложных срабатываний.

Location: Москва Мы в Центре Робототехники Сбера интегрируем передовые робототехнические системы, включая манипуляторы, мобильные колесные роботы, мобильные манипуляторы, роботов собак и другие cutting-edge решения, в реальные промышленные проекты, чтобы обеспечить эффективность и автоматизацию процессов. Мы ищем единомышленников, которые разделяют нашу страсть к робототехнике и обладают навыками разработки встраиваемого программного обеспечения. Обязанности * техническое лидерство команды: определение архитектурных решений, стандартов разработки и технических подходов * постановка технических задач разработчикам (Embedded, Robotics SW, * Fullstack, ML инженерам), контроль исполнения и приёмка результатов * проведение систематических код-ревью, обеспечение высокого уровня качества кода и технической документации * разработка и поддержка высокоуровневой архитектуры программного обеспечения: бортовые системы, навигация, управление движением, взаимодействие с бэкендом * декомпозиция продуктовых требований на технические задачи, оценка трудозатрат и планирование спринтов совместно с PM/PO * участие в найме и онбординге новых инженеров, проведение технических интервью * менторинг и профессиональное развитие членов команды, выявление и устранение точек роста * взаимодействие с командами hardware, конструкторов и ML для сквозной интеграции систем * управление техническим долгом: выявление, приоритизация и планомерное устранение * обеспечение работоспособности CI/CD пайплайнов, процессов, тестирования (unit, integration, regression) и автоматизированного развёртывания * разработка технических заданий (ТЗ) на компоненты системы, участие в выборе технологий и вендоров * координация с Product Owner по техническим рискам, срокам и приоритетам * организация процессов тестирования прототипов и опытных образцов, участие в полевых испытаниях. Требования * уровень: Senior+, подтверждённый опыт в роли Tech Lead или ведущего инженера от 5 лет * степень специалиста, бакалавра, магистра или учёная степень по технической специальности: робототехника, мехатроника, машиностроение, программная инженерия или смежные направления * глубокое знание C++ и Python, опыт разработки высоконагруженных и встроенных систем * твёрдые знания архитектуры программного обеспечения и умение принимать взвешенные технические решения на уровне системы * опыт работы с ROS2 (DDS, QoS, lifecycle nodes, composable nodes) * опыт руководства командой разработчиков: постановка задач, проведение код-ревью, менторинг, развитие инженеров * опыт проектирования и реализации сложных распределённых систем реального времени * знание принципов CI/CD, DevOps-практик, опыт работы с Docker, GitLab CI, k8s * опыт работы с аппаратными интерфейсами: UART, SPI, I2C, CAN, Ethernet * твёрдые знания ОС семейства Linux, включая конфигурацию и оптимизацию под задачи реального времени * опыт взаимодействия с кросс-функциональными командами: embedded, hardware, ML, конструкторы * навыки технического планирования: оценка трудозатрат, управление · техническим долгом, декомпозиция задач * навыки работы с генеративными ai-моделями * знание английского языка B2+ (чтение технической документации, · участие в технических обсуждениях). Условия * комфортный современный офис возле МЦК ЗИЛ * ежегодный пересмотр зарплаты и годовую премию * уникальную систему обучения Сбера для профессионального и карьерного развития * расширенный ДМС и льготное страхование для семьи * гибкий дисконт по ипотечному кредиту, равный 1/3 от ключевой ставки ЦБ * подписка "Прайм" с возможностью использования на трех близких * вознаграждение за рекомендацию друзей в команду Сбера.

Own the full IAM strategy. for corporate, production, and product environments end to end, and own the bridge between corp IAM and product/prod IAM rather than treating them as separate problems.

Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition). Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions.

You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. 5+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI, and where you can contribute to technical debate and design choices with customers.

Проектирование, разработка и сопровождение ETL/ELT-процессов с использованием Python и Apache Airflow. Практический опыт эксплуатации Apache Airflow, Spark (PySpark),ClickHouse и PostgreSQL в промышленной среде.

Location: Philippines Workstream is a mission-driven company building the all-in-one HR, payroll, and hiring platform for managing the hourly workforce. There are 2.7 billion hourly workers, making up 80% of the global workforce, but this market has been heavily underserved by technology and deserves better. Workstream has been purpose-built for the hourly workforce from day one so that these businesses and their employees can thrive. Our customers include leading brands from multiple sectors, including Burger King, Carl's Jr./Hardee's, IHOP, KFC, and Culvers. We are a high growth series B company and quickly expanding our product portfolio to deliver on our vision. We are backed by legendary VCs and industry experts like Founders Fund, BOND, and Coatue. In addition to our core business, Workstream is home to a small, fast-moving Robotics team focused on advancing the next generation of artificial intelligence and robotics. We partner with a leading AI and robotics company to produce high-quality, large-scale egocentric (first-person) video datasets that help train advanced AI models. Here are our Company Values and we’d love to have individuals who can be a culture add to our team! Grow With Us We are looking for a Software Engineer to join our growing Robotics Data Collections team. This role will keep the footage flowing, from a stuck upload at a capture site to the dashboard screen the operations team reads every morning. Your users are real people a few metres away: the operators and contributors recording every day. When something breaks, it's their hours, their pay, and their patience on the line, and this role exists to care about that deeply. You'll see your users face to face at capture sites, hear them in the support channels, and build with them in mind. Every day, capture sites record hours of footage that must land safely in the cloud. When it doesn't (a stuck upload, an unreadable card, an app refusing to finish, hours that don't add up), you are the engineer who finds out why, unblocks it without losing data, and then improves the software so it explains itself next time. The work spans every surface the operation touches: a desktop app site staff use to offload and upload footage, a phone app contributors record with, web dashboards and reports, and the physical devices themselves. You'll build on some of these surfaces and debug on all of them. You are also the engineering voice site staff hear every day. Our operations run on Slack, across time zones. Operators post a screenshot of an error and ask what it means and what to press next. The core engineering team wakes up hours later and reads what you wrote to understand what happened in the field. This role lives in that conversation, translating between confused screenshots and root causes, in both directions. This is an AI-first job. The operation is scaling faster than any team could answer tickets one at a time, so we don't. You'll use AI agents as a daily multiplier: to write diagnostics while you're still reading the error, to investigate many stuck uploads at once, to draft the guide while you fix the cause. This role will start as a contractor position, with a high likelihood of transitioning to a full-time role after three months, depending on business needs and performance. What it's like Small, fast-moving team; your work shows up in the operation the same week. A mix of support conversations, focused software days, and field days at capture sites. AI agents are a first-class part of how the whole team works. You'll work directly with the Day In The Life Product engineering (40%) Build features in the desktop and mobile apps. Ship improvements to the desktop app site staff run every day (offloading cards, uploading, seeing what landed) and the phone app contributors record with: better flows, clearer states, fewer ways to get stuck. Build the dashboards and reports the operation runs on. Hours and progress reports, upload accounting, status screens: make the numbers trustworthy and the words on screen say what's actually happening. Write software every week, with AI as your leverage, across the desktop app (Electron), the phone app (React Native), web dashboards (React/TypeScript), and Python services and tooling. You'll routinely have AI agents write and iterate on diagnostics, tests, and features with you. Field support & debugging (35%) Run the daily support loop. Be the first responder in our support channels when site staff hit upload, app, or device problems; answer in plain language, unblock them fast, and follow through until it's resolved, not just explained. Diagnose and unblock the upload path. When footage is stuck between a capture card and the cloud, trace where and why (device, card, app, network, cloud), get it moving again safely, and make sure nothing is lost or double-counted along the way. Scaling the operation (15%) Solve classes of problems, not instances. Every question the ops team has to ask an engineer twice is a gap; turn recurring ones into self-serve screens, clearer error messages, AI-powered diagnostics, and guides operators reuse. Your goal is that the operation can grow without support growing with it. Devices & hardware (10%) Be hands-on with devices when the problem is physical. Use AI-written tests to check why a camera or battery isn't behaving, open a device to inspect it, and swap parts like cameras and buttons. No soldering. You'll also help put beta hardware in operators' hands and report what breaks. Who You Are Deep care for the user. The operators and contributors using what you build are people you'll know by name; their lost hour bothers you until it's found, and "works on my machine" isn't done. Flexible, fast, and scrappy. You'd rather ship a working fix today and improve it tomorrow than design the perfect one next week; you're comfortable when this month's job looks different from last month's. A willing debugger and problem-solver. You can follow data through a pipeline with many stages, form hypotheses, write quick tests (with AI's help), and follow the evidence rather than guessing, wherever the problem lives. AI-leverage mindset. You already use AI tools well and they multiply you; when problems repeat, your instinct is to build something that solves the whole class rather than working through them one by one. You treat the challenges of a scaling team and operation as the fun part, not the fine print. Strong communicator, concretely. With site operators and contributors, you answer "what does this error mean?" with what it means and what to press right now, in plain words, and you write step-by-step guides a non-technical person can follow on the first try. With the operations team and core engineers, you write down what you saw and tried, pick up a thread someone left overnight, ask good questions, and keep a problem moving across time zones until it's solved. A collaborator across teams. You stay patient on the fifth "it's still not working," and people finish a conversation with you knowing exactly what to do next. Care for data integrity. In our world, a lost or double-counted recording is someone's unpaid hours; you treat that seriously. Self-directed. You'll often be the only engineer on site, supported by a remote team in other time zones. Preferred Qualifications Solid software fundamentals: working Python, comfort in Linux (services, logs, networking), and the ability to build app UIs Strength in at least one of web (React/TypeScript), desktop (Electron), or mobile (React Native), and the willingness to become productive across all three and debug anything Daily, effective use of AI coding tools and agents Clear written English for remote, asynchronous work Located in Metro Manila, and able to travel to capture locations regularly Nice To Have Experience shipping Electron or React Native apps to real users Experience in a support-adjacent engineering role: field engineering, solutions engineering, IT for operations teams Hardware tinkering: Raspberry Pi and single-board computers, cameras, taking devices apart; 3D printing for jigs and mounts Familiarity with cloud storage, upload pipelines, SQL/Postgres, or fleet/IoT management Know More About Workstream https://www.workstream.us/blog/funding-series-b https://techcrunch.com/2021/08/26/workstreams-text-based-recruitment-tool-gets-a-48m-bet-from-bond-and-beyond/ https://techbuzz.news/buzzworthy-august-27-2021/ Additional Information Workstream provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to 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. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. We are committed to the full inclusion of all qualified individuals.

▫️Архитектура Lakehouse / DWH. Проектирование и построение end-to-end архитектуры хранилища данных с нуля в среде Microsoft Fabric.

-Define the long-term technical roadmap for Growth and Engagement ML systems, ensuring scalability, reliability, and measurable business impact. -Architect and deploy production-grade ML pipelines and real-time decisioning systems that power personalization, notification dispatch, and onboarding flows.

Поддержка production-, staging- и development-инфраструктуры; Администрирование Kubernetes-кластеров и контейнеризированных приложений;

Location: Hong Kong Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: You are a crypto-native operations professional with genuine hands-on experience in the onchain economy; you have deployed capital into onchian lending protocols, managed leveraged positions, navigated liquidation risk, and executed transactions across multiple chains. You are equally comfortable operating within an institutional custody environment as you are diligencing a new protocol and automating different workflows. You thrive in fast-moving environments, take ownership during your time zone's hours, and treat operational gaps as problems to be solved rather than escalated What You’ll Do: Serve as the IT Support Lead for our Hong Kong office, owning day-to-day local IT support operations and the overall end-user technology experience. This is an onsite role requiring presence in our Hong Kong office five days per week. Provide high-quality deskside and remote support across hardware, software, identity, access, networking, mobile devices, and enterprise applications. Deliver white-glove support to executive users and responsive, high-performance support to trading and other business-critical teams. Act as the primary local escalation point for complex support issues, taking ownership through resolution and coordinating with global IT, Security, Engineering, and Infrastructure teams when needed. Oversee and help develop a Level 1 / junior support engineer, providing guidance, prioritization, coaching, and quality oversight while maintaining a hands-on role yourself. Manage and prioritize the local support ticket queue, ensuring issues are handled with appropriate urgency, SLAs are met, and service quality remains consistently high. Monitor recurring issues and ticket trends, identify root causes, and drive permanent fixes, documentation, automation, or process changes rather than repeatedly treating symptoms. Lead local onboarding and offboarding, device provisioning, laptop and mobile device configuration, and manage the hardware lifecycle end to end, including purchasing and receiving, provisioning, inventory and asset tracking, repair and replacement, and secure wipe and disposal of retired equipment. Administer and support managed endpoints through MDM platforms such as Microsoft Intune and Jamf, including device enrollment, configuration, compliance, policy deployment, and troubleshooting. Act as a first-line responder for local security matters, including phishing reports, lost or stolen devices, suspicious activity, and account lockouts or compromises, escalating promptly to the global Security team as appropriate. Help maintain endpoint security and compliance standards, including EDR, disk encryption (BitLocker / FileVault), patch compliance, MFA, and support for audit or compliance requests as needed. Support and troubleshoot macOS, Windows, and iOS devices, including imaging, configuration, deployment, patching, and application-related issues. Troubleshoot network connectivity issues including TCP/IP, DNS, DHCP, VPN, Wi-Fi, proxy behavior, and the impact of enterprise security controls on user applications. Own the reliability of local conference rooms and AV technology, proactively checking meeting spaces and ensuring executive and business-critical calls run without friction. Act as a local point of contact for IT-related vendors and service providers, including ISPs, hardware suppliers, mobile carriers, and building management where technology services are involved. Support Hong Kong office moves, expansions, build-outs, and other local technology initiatives, coordinating with global IT teams, Facilities, vendors, and other stakeholders as needed. Participate in disaster recovery and business continuity planning and testing for the Hong Kong office, including readiness for local disruptions such as typhoons, power outages, and ISP or connectivity failures. Support local mobile and communications requirements, including carrier management and relevant compliance tooling where applicable. Partner closely with global Desktop Support and Helpdesk teams to align on standards, documentation, processes, tooling, and escalation paths. Maintain clear local documentation, runbooks, support procedures, and knowledge articles so common issues can be resolved consistently and efficiently. Identify opportunities to improve support workflows and reduce repetitive work through scripting, automation, self-service, or better tooling. Communicate clearly with local office leadership and key stakeholders during incidents, major changes, office initiatives, and recurring problem areas. Participate in the global IT Support 24/7 emergency on-call rotation, including nights, weekends, and holidays, responding to critical incidents and urgent support needs by phone or remote access as required, as well as planned maintenance or project work. What We’re Looking For: 5+ years of experience in technical support, including significant deskside support experience in a professional, financial services, trading, or similarly high-performance environment. Demonstrated experience acting as a senior escalation point, local IT owner, team lead, or equivalent role with responsibility beyond individual ticket resolution. Proven ability to deliver white-glove support to executives and responsive support to business-critical users in fast-paced environments. Strong working knowledge of both macOS and Windows operating systems at an administrative level, with hands-on experience supporting iOS/mobile devices. Hands-on experience with MDM platforms such as Microsoft Intune and Jamf, including device management, configuration profiles, policy enforcement, compliance, and provisioning. Strong experience supporting Microsoft 365 environments, including Outlook, OneDrive, Teams, and related productivity tooling. Experience with identity and directory services, including user provisioning, group management, permissions, access control, and troubleshooting authentication-related issues. Solid understanding of networking fundamentals including TCP/IP, DNS, DHCP, VPN, Wi-Fi, and how enterprise network and security tools can affect application behavior. Experience with hardware deployment, laptop and mobile device lifecycle management, asset tracking, and enterprise software troubleshooting. Experience using ITSM or ticketing platforms and working within SLA-driven support processes; able to prioritize effectively across competing requests. Strong ownership mindset with a track record of seeing issues through end-to-end and ensuring nothing falls through the cracks. Proactive approach to support: able to identify patterns, improve processes, prevent recurring issues, and raise the quality of the overall support environment. Excellent interpersonal, communication, and customer service skills, with the judgment and professionalism required to support executives and senior stakeholders. Ability to work independently, make sound decisions, and take ownership of local IT operations while remaining closely aligned with global standards and teams. Bachelor's degree in Information Technology, Computer Science, Engineering, or a related field - or equivalent practical experience. Nice to Have: Experience supporting trading floors or other low-tolerance, high-availability user populations. Experience mentoring, coaching, or informally managing junior IT support staff. Exposure to scripting or automation using PowerShell, Python, Bash, APIs, RESTful services, Git, or similar tools. Familiarity with enterprise SaaS platforms for communication, project management, identity, and file collaboration. Relevant certifications such as CompTIA A+/Network+, Microsoft, Apple, Cisco, ITIL, or similar. What We Offer: Competitive base salary and discretionary bonus Flexible Time Off (paid) Hybrid Working Arrangements Company-paid health and protective benefits for employees and their eligible dependents Free coaching and counseling sessions through Headspace Generous paid Parental Leave Free daily snacks in-office and weekly lunches Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues Employee Resource Groups *Benefits may vary depending on location. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: Bangalore, India 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 an Applied AI team member at Anthropic India, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises across India and the Asia-Pacific region understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with both the Claude API and Claude for Work Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally within India and the APAC region to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns Collaborate across time zones with global teams while serving as the technical expert for the India market You may be a good fit if you have: 10+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Experience working with enterprise customers in India or the APAC region, navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Comfortable with Python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Ability to work effectively across cultures and time zones as part of a global team 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.

Задачи: — построение ETL-процессов: разработка и настройка конвейеров по сбору и трансформации данных из различных источников; — работа с современным стеком трансформации: освоение и применение DBT для превращения «сырых» данных в чистые аналитические витрины; — оркестрация данных: настройка и поддержка рабочих процессов (pipelines) в Dagster для своевременного и безошибочного обновления данных в отчетах; — управление хранилищами: работа с Postgres и высокопроизводительной колончатой базой данных Clickhouse для обеспечения скорости работы отчетов; — визуализация смыслов: разработка интерактивных BI-отчетов в Apache Superset для поддержки бизнес-решений; — оптимизация выборок: анализ и ускорение тяжелых запросов для повышения производительности системы отчетности. Требования: — уверенное владение SQL (сложные выборки, агрегатные функции, оптимизация запросов); — понимание устройства реляционных баз данных, в частности PostgreSQL, и принципов построения аналитических хранилищ; — базовые знания Python, умение писать скрипты для обработки данных и автоматизации простых задач; — аналитический склад ума, способность работать с большими массивами данных, выявлять закономерности и структурировать информацию. Желательный опыт: — опыт создания дашбордов в BI-инструментах (Apache Superset, Tableau, Power BI или аналогичных); — понимание концепций ETL/ELT; — понимание архитектуры данных, разницы между OLTP и OLAP системами (например, использование Clickhouse для аналитики); — интерес к современным инструментам DBT и оркестраторам данных (Airflow, Dagster). Условия: — срочный трудовой договор на 3 месяца; — график 5/2, не более 30 часов в неделю; — возможна удалённая, офисная или гибридная работа; — стажировка доступна студентам любых ВУЗов и форм обучения, включая заочную и магистратуру.

Location: Москва Мы - команда Управления Комплаенс, ищем нового Data analyst. Основной задачей Управления Комплаенс является построение стратегий, основанных на статистическом анализе и аналитике данных, выявление схем легализации доходов, полученных преступным путем. Новому аналитику данных нужно будет работать с таблицами на SQL/Spark, работать с графами связей, разрабатывать прототипы витрин, общаться с инженерами, методологами, изучать предметную область и формировать предложения по улучшения процесса выявления нелегальных операций. Обязанности * подготовка аналитических исследований в области выявления схем легализации доходов, полученных преступным путем * разработка стратегий принятия решений в области Комплаенс риска * изучение процессов выявления и анализа схем легализации и формирование предложений по их изменению и автоматизации * обработка данных и статистический анализ данных и гипотез * подготовка прототипа для пилотирования/внедрения моделей * мониторинг разработанных моделей * определение требований к качеству данных Требования * профильное высшее образование, опыт работы в области анализа данных не менее года * опыт работы с базами данных (SQL) * знание Python * уверенное знание теории вероятностей и математической статистики * желателен опыт математического моделирования для прикладных задач * желателен опыт разработки стратегий принятия решений (риск политик). Условия * формат работы фул офис, 5/2. адрес пр-т Кутузовский д.32 кор Б * ежегодный пересмотр зарплаты * 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: Москва Отдел оценки защищённости Сбера приглашает профессионалов присоединиться к команде, работающей над повышением устойчивости крупной инфраструктуры к современным киберугрозам. Проект нацелен на развитие передовых методов и технологий в сфере информационной безопасности с применением новейших разработок в области искусственного интеллекта. Обязанности * проведение внутренних активностей по наступательной кибербезопасности (RedTeam) с использованием последних достижений в области искусственного интеллекта (ИИ) * участие в жизненном цикле разработки инновационных решений на базе ИИ для исследований защищенности и поиска уязвимостей * автономизация тактик, техник и процедур (TTP) матрицы MITRE для последующего построения векторов кибератак * создание и применение ИИ агентов для обхода правил и настроек средств защиты информации (СЗИ) * тестирование существующих Offsec-AI решений. Требования * опыт работы в направлениях pentest, red team не менее 5 лет * знания в области AI/LLM * знание и опыт работы с решениями, использующими протоколы MCP, A2A и т.д. * знание и понимание уязвимостей AI/LLM решений * опыт использования/исследования AI-фреймворков, предназначенных для проведения пентестов и red team активностей * умение автоматизировать рутинные задачи (Python, Bash и др.) * экспертные знания и практические навыки в одной из специализаций (веб, сетевая инфраструктура, инфраструктурное ПО и т.д.) * знание и опыт применения методик анализа защищенности (PTES/OWASP WSTG/OSSTMM) * понимание концепции Cyber Kill Chain * опыт реализации TTP из MITRE ATT&CK * знание ландшафта угроз и опыт эксплуатации уязвимостей в предприятия (среда Active Directory, кластеры СУБД, виртуализированные и контейнеризированные окружения и т.д.). Условия * комфортный современный офис * **офисный формат работы** * ежегодный пересмотр зарплаты 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 * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE: We're looking for a Senior Fullstack Engineer for our commercial product LangSmith, an observability and evals platform. In this role, you'll have the opportunity to shape the technical direction of our platform while working closely with enterprise customers, developer end-users and internal stakeholders. WHAT YOU WILL DO: - Lead the technical architecture and implementation of key product features for LangSmith, working across our entire Go, Python, and Typescript stack. - Collaborate closely with product and design teams to iterate on new features. - Mentor and guide more junior members of the team. Drive aggressive project timelines while ensuring high engineering standards are being met. - Lead by example in writing clean, maintainable, and well-tested code   WHAT YOU BRING: - 5+ years of experience in software engineering working on complex platform products - Fullstack engineering experience with Go or Python on the backend and React + Typescript on the frontend. - Strong understanding of database systems, particularly Postgres and Redis - Experience designing and scaling APIs, preferably in a high-performance, data-intensive application - A “get stuff done” attitude - comfortable shipping fast and iterating based on user feedback - Strong communicator with the ability to collaborate closely with various internal stakeholders and engage directly with our top-tier customers - Strong ownership mindset - Bonus: Experience with AI/LLM-powered applications, developer tools, or observability platforms   Annual salary range: $175,000-$240,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.   ABOUT THE ROLE We are looking for a Senior Backend Engineer to join us. In this role you will be building the backend systems that power LangChain’s observability and evals platform. You will work on the core services that allow developers to monitor and evaluate their AI applications at scale. While the focus is on backend feature development, familiarity with fullstack or frontend engineering, performance tuning, and debugging production issues would be extremely valuable.   WHAT YOU'LL DO - Design, develop, and maintain backend services and APIs to support LangSmith’s tracing, monitoring, and evaluation workflows. - Collaborate on architectural decisions to ensure systems are performant and maintainable. - Optimize storage and query performance for high-volume observability and evaluation data. - Ensure system reliability through strong testing, monitoring, and alerting practices. - Troubleshoot and resolve production issues, performing root-cause analysis and implementing long-term fixes. - Create and maintain technical documentation, including system design and API references. - Work closely with full-stack engineers, product managers, and product designers on rolling out new features.   WHAT YOU'LL BRING - 5+ years of professional experience in backend engineering working on highly complex products - Proficiency in one or more backend languages/frameworks, ideally Python or Go - Strong understanding of API design and building reliable data services. - Experience with high-throughput or mission-critical systems. - Demonstrated ability to optimize backend services for performance and reliability. - Experience with database systems (Postgres, Redis, Clickhouse), and cloud platforms (AWS, GCP, Azure) - Strong communication skills, with the ability to collaborate cross-functionally - Customer centricity and ownership mentality   Compensation Annual salary range: $180,000- $240,000 Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: New York Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role We are seeking an experienced Engineering Leader to build the partnership engineering organization. In this role, you will lead and build a new team dedicated to the technically complex work we do with our Partners, turning that work into repeatable product features. You’ll work to scale the team as they grow, help prioritize and support work in a fast paced environment, and build a healthy team culture. This is a highly visible role with the opportunity to shape how Mistral’s technology is adopted globally and unlock large business opportunities What You Will Do - Remove obstacles and create an environment where your team can focus on building solutions. - Own the most critical partnerships of the company and what's required to make them a success. - Translate product vision into technical reality, collaborating closely with the Product team. - Ensure applications are performant, stable, and responsive. - Uphold high code quality standards through reviews, testing, and automation. - Own the full software development process, from design to deployment. - Plan projects, including roadmaps, deadlines, and task allocation. - Collaborate with stakeholders across Engineering, Product, and Design, and Partners. - Support team growth through hiring, onboarding, and mentorship. What We're Looking For - Experience building and managing engineering teams. - Proficiency in Python and at least one web framework (FastAPI, Django, Flask). - Proficiency in C#, Golang, TypeScript and at least one web framework. - Experience with large-scale distributed systems. - Experience working with cross-functional teams, such as Product, Design, and Business. - Strong problem-solving abilities and attention to detail. - Ownership mindset and ability to ship products end-to-end. - Excellent communication skills and a low-ego, team-first attitude. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.