Вакансии

Задачи: — Развивать платформу данных; — Разрабатывать и оптимизировать ETL/ELT-процессы; — Работать с batch- и streaming-пайплайнами; — Развивать модели данных и хранилище.

💎Опыт автоматизации тестирования веб-приложений на JavaScript, опыт создания фреймворков с нуля, English B1+.

⁃ Развивать Data Lakehouse и единое DWH. ⁃ Строить ETL/ELT-пайплайны от источника до готовой витрины.

• поддерживать и настраивать IP-телефонию на базе Asterisk: dialplan, SIP-транки, маршрутизация; • подключать SIP-провайдеров, обеспечивать входящую и исходящую связь, автообзвон;

, you will be responsible for the creation and maintenance of documentation related to company products, processes, and training materials. This role involves collaborating with various teams to ensure that information is accurate, accessible, and effectively supports internal and external users.

At Salesloft, our Principal Engineer for AI sets the technical direction for how machine intelligence works across our Predictive Revenue System. You lead through technical credibility and make the engineers around you better.

Dive into complex systems and manual workflows to develop an understanding of our tools and constraints. Thoughtfully design and maintain clean, scalable, production-grade dbt models (e.g., ARR, revenue recognition).

What you'll do: Write reliable, secure, scalable code for Lithic’s real-time authorization and fraud-prevention systems with minimal tech debt.

Micron Technology приглашает на работу выпускников на позицию инженерного техника. Вакансия открыта как для новичков, так и для специалистов с опытом работы. Кандидаты должны иметь соответствующее техническое образование и готовы развиваться в области инженерных технологий. Работа предполагает выполнение технических задач, связанных с производственными процессами и поддержкой оборудования. Компания ценит инициативность и стремление к профессиональному росту.

Ищем AI/LLM Engineer, который будет проектировать и развивать production-системы на базе LLM. Ищем инженера, который умеет собрать LLM-систему целиком: от prompt/context logic и агентных сценариев до backend-сервисов, интеграций, тестирования и запуска в production.

➡️ Ищем AI/LLM Engineer, который будет проектировать и развивать production-системы на базе LLM. Ищем инженера, который умеет собрать LLM-систему целиком: от prompt/context logic и агентных сценариев до backend-сервисов, интеграций, тестирования и запуска в production.

- 1+ years of experience in Information Security, Security Engineering, Data Security, DLP, or a related technical role. - Experience creating and tuning security policies.

• Администрировать, поддерживать и оптимизировать облачные платформы и инфраструктуру. • Настраивать, конфигурировать, поддерживать и совершенствовать CI/CD- и GitOps-пайплайны.

АО «Узбекский комбинат технологических металлов (УзКТМ)» - это высокотехнологичный комплекс, производящий инновационную продукцию из редкоземельных минералов: технологические металлы, высокочистые металлы и сплавы. Задачи и требования в тексте не указаны.

• Resolve customer technical issues end-to-end (Helpdesk + Slack) within SLA. • Conduct root cause analysis with Grafana, Datadog (logs, metrics, traces).

Location: San Francisco, CA Workplace: Hybrid About Niantic Spatial AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Role Niantic Spatial makes the physical world computable, helping people and machines collaborate safely by aligning how they understand reality. One of the fundamental problems we're helping autonomy teams and engineers overcome is the sim-to-real gap for visual-spatial understanding. We're applying our team's decades of experience encoding the world precisely as it is at Google Maps, Google Earth, and Niantic Labs to build the scalable real-to-sim stack for embodied AI. We're looking for a Senior/Staff Product Engineer to join our Embodied AI team. Working alongside the group's GM, Product leader, and robot learning engineer, you'll own how the product reaches customers, build the integrations that make it native to their simulators and deployment stacks, and influence the roadmap. You've turned capabilities into products. You've shipped developer-facing products and watched adoption turn on details nobody planned for. You know that a capability isn't a product until someone outside the building has used it without help, and you're passionate about the work that sits between the two. This is not a role for someone who wants to manage and not ship, or someone who wants to ship without ownership of commercial consequences. This is a role for an entrepreneurial engineer who loves to build and is energized by making the people around them, researchers and customers alike, more effective. You have a co-founder mentality. You may have been part of a founding team before, or want to start your own business one day. What You'll Do - Build the Product Surface - Own how autonomy teams experience our work: the APIs, UIs, packages, and documentation. - Make Our World Native to the Customer's - Turn scans and reconstructions into reliable, interoperable assets that work in customers' simulation tools and workflows, including packaging, metadata, semantic labels, object structure, and selectable variants. - Turn Prototypes Into Capability - Partner with reconstruction, mapping, localization, and research teams to transform prototypes and pipeline outputs into production-grade services and user experiences. - Deliver at Scale - Design and operate backend systems for accounts, organizations, sites, scans, assets, processing jobs, permissions, asynchronous workflows, storage, and data access. - Make It Work - Work directly with customers and internal users to integrate our technology, diagnose failures, improve reliability, and close the gap between intended and actual product behavior. - Influence the Roadmap - Work alongside the group's GM, Product leader, and robot learning engineer to shape what we build and when. What You'll Bring - 6+ years of software engineering experience; Bachelor's degree in Computer Science or a related field, or equivalent practical experience. - Significant experience building and operating production web applications and backend services, with strong fundamentals in API design, data modeling, testing, observability, and reliability. - Shipped developer-facing products — including the documentation and reference code external engineers actually used — and worked with 3D asset formats or comparable binary formats to production depth: you can say what the conventions were, where they broke, and what it cost you. - Proficient in Python and TypeScript, comfortable working across frontend and backend, and able to take a feature from product requirements through to running it in production. - Experience designing asynchronous workflows, long-running jobs, external integrations, and data-intensive systems. Nice to Have - Experience working with robotics simulators or toolchains such as Isaac Sim, Isaac Lab, or MuJoCo, or OpenUSD. - Built products for geospatial, 3D, computer vision, graphics, robotics, or spatial computing. - Worked on visualization or asset-management experiences with React, Next.js, or Three.js. Competencies - Relentless bias for action. You make decisions and ship as if the company’s success depends on it, because it does. You set the pace, and drive the people around you to rise to it. - Intellectually honest. You know there’s just one job that underpins every other in a startup: find the truth. You are relentless in your pursuit of it, including when it challenges your own convictions, and you raise concerns when you see them — even when it's uncomfortable, and especially when it's unpopular. - Pragmatic. You have no patience for not-invented-here syndrome and analysis paralysis. You find the fastest path to a working capability without one-way doors that undermine scaling. - Confident and credible with customers. You can read an autonomy engineer's training config, find why our asset didn't load, and explain the fix in their terms. - Fluent in other people's ecosystems. You'll spend much of your time learning new tools and stacks. You're quick to learn the customer's language, and you can point to something you shipped in a world that was foreign to you a quarter earlier. Compensation & Benefits The base salary range for this role is $207,000 - $265,000, and your offer within it will reflect your experience and the scope you take on. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. Location & Work Model This role is based in our San Francisco office, with three days per week in office. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. At 1Password, we believe everyone deserves to be safe online. As a Senior GTM Engineering Analyst, you’ll build artificial intelligence (AI) agents, data products, and analysis workflows that help global go-to-market teams work faster and make better decisions. You’ll connect information across business systems, automate repetitive processes, and create reliable insights for leaders across Sales, Solutions, Customer Experience, and Channel. Your work will help make security simpler and more human-centric for the millions of people and thousands of businesses that rely on 1Password. This role reports to the Director, GTM Engineering (Revenue Operations) How we’re using AI today Across GTM, we’re transforming the way we work with AI. We expect every seller, CSM, and team member to become a power user, using it daily to work smarter and move faster. AI is already embedded in how we operate – from real-time coaching that sharpens how we sell and interact with customers, to surfacing insights that help us anticipate needs – creating more time for meaningful customer engagement. If you’re excited to reshape how you think, make decisions, and drive growth with AI, you’ll feel right at home here. This is a remote opportunity within Canada and the US. Note: All go-to market roles will have an in-person onboarding in Toronto. What we're looking for: - Bring 4+ years of experience in analytics, revenue operations, sales operations, data analysis, or a related field. - Have experience building AI agents or workflows powered by large language models (LLMs) that have been used in real business work. - Experience building and maintaining decision-ready dashboards, reports, and data products in Power BI or comparable business intelligence tools, including data modeling, visualization, metric definition, and ongoing maintenance for GTM stakeholders - Have experience with Python for building automations, working with application programming interfaces (APIs), and connecting systems, along with go-to-market tools such as Salesforce, Snowflake, Databricks, dbt, or business intelligence platforms - Work confidently with AI coding tools such as Claude Code, Codex, or Cursor. - Use Structured Query Language (SQL) effectively and apply working knowledge of statistics to distinguish meaningful results from noise. - Document and improve business processes with a focus on reducing manual work and improving decision-making. Bonus points for: - Have supported channel or partner sales motions, worked across multiple regions, or studied a quantitative discipline such as science, engineering, statistics, or mathematics. What you can expect: - Rebuild sales and revenue operations processes to reduce manual work. - Build and maintain AI agents that prepare call and deal briefs, draft customer follow-ups, rank target accounts, and flag deals that need attention. - Build and maintain data tables and scheduled analysis jobs that combine information from Salesforce, Gong, and other go-to-market systems. - Create reports, alerts, and weekly manager briefs used by sales leadership. - Partner with Sales, Solutions, Customer Experience, Channel, and Revenue Operations teams to understand business needs and define clear technical requirements. - Map existing go-to-market processes, identify opportunities to improve data quality and efficiency, and help teams make better decisions. - Evaluate AI-generated outputs for quality, accuracy, privacy, data access, and appropriate safeguards; measure adoption and effectiveness, then improve workflows based on feedback and results. USA-based roles only: The annual base salary for this role is between $113,000 USD and $146,000 USD. This role is also eligible for immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $105,000 CAD and $136,000 CAD. This role is also eligible for immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to work We recognize the power of both in person collaboration and remote work. Some roles are designated as remote-first, with an expectation that individuals work from their homes majority of the time, while others are designated as in-office roles, with an expectation of being on-site on a regular basis. We recognize that certain roles benefit from regular, in-person connection to support collaboration, team cohesion, and customer engagement. For all roles, occasional travel may be required. This includes things like: department-wide offsites, quarterly department meetings and periodic customer events. These events are typically held in varying locations across Canada, USA and/or EMEA. In leadership roles, you can expect to travel once per month on average. Note: All go-to market roles will have an in-person onboarding in Toronto. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: Москва Ищем MLOps Engineer с фокусом на ускорение и автоматизацию вывода ML-моделей. Основной продукт — платформа для рекомендательных сценариев, обеспечивающая разработку, обучение и эксплуатацию ML-моделей в продакшене. Обязанности ### Чем предстоит заниматься: * развивать MLOps-инфраструктуру и инструменты для быстрого вывода моделей в production * автоматизировать процессы тестирования, развертывания и обновления ML-моделей * развивать MLflow и процессы управления экспериментами, версиями и жизненным циклом моделей * развивать инфраструктуру на базе Kubernetes * обеспечивать интеграцию ML-процессов с Airflow и Apache Spark * развивать CI/CD для ML и внутренние инструменты/SDK для ML-команд * повышать надежность, наблюдаемость и воспроизводимость ML-систем * участвовать в развитии инфраструктуры для AI/LLM-сценариев. Требования ### Что мы ожидаем: * опыт в MLOps / DevOps / Data Engineering * хорошее знание Kubernetes * опыт работы с MLflow, Airflow и Spark * уверенный Python * понимание полного жизненного цикла ML-модели — от эксперимента до production * опыт автоматизации CI/CD и эксплуатации production-систем * умение проектировать решения, которые снижают time-to-production ML-моделей и упрощают работу Data Science команд * опыт разработки внутренних ML-инструментов и SDK * опыт работы с рекомендательными системами * опыт с GPU-инфраструктурой * опыт в AI/LLM-проектах. Условия * офисный формат (Поклонная, 3к1) * ежегодный пересмотр зарплаты и годовая премия * расширенный ДМС и льготное страхование для семьи * уникальная система обучения Сбера для профессионального и карьерного развития * выгодная ипотека для сотрудников * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера * корпоративная пенсионная программа.