Вакансии

• Ensure the security of the company’s server, network, and cloud infrastructure. • Monitor and analyze information security events to detect attacks, scanning activity, anomalies, and unauthorized access attempts.

Ищем DevOps-инженера, который выстроит и будет развивать нашу внутреннюю инфраструктуру, а также настроит пайплайн сборок Unreal. Корпоративная инфраструктура (основной фокус):

Задачи: — Участие в разработке и оптимизации сервисов платежной платформы — Переписывание монолитного приложения на Python в микросервисную архитектуру на Go — Работа с высоконагруженными системами (до 3к RPS) Требования: — Опыт разработки на Go от 5 лет — Опыт работы с Kafka и PostgreSQL под нагрузкой — Знание стека: Go, PostgreSQL, Kafka, Redis, ClickHouse, Kubernetes — Опыт работы с микросервисной архитектурой Условия: — Полностью удаленная работа — Оформление через ИП или самозанятость — Возможна оплата в валюте/крипте для кандидатов не из РФ — Минимум созвонов

• Ты глубоко понимаешь Linux (от загрузки до сетевого стека) и уверенно владеешь Bash и Python для автоматизации. • Ты имеешь коммерческий опыт с Kubernetes (администрирование, troubleshooting) и Docker (включая оптимизацию сборок).

Location: Remote About GiveDirectly What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need? Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid. Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question: is this doing more good than giving the money directly to people living in poverty? We’re growing fast, and this is a rare and important moment to join. We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress. How we work Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated: Recipients first. Recipients’ preferences come before those of donors or ourselves. Team next. We optimize for organizational success, not individual success. Be proactively candid. We say what we believe and share information openly. Create positive energy. We aim to be a source of energy for colleagues, not a drain. Think rigorously; act quickly. We reason from first principles, then act rather than debate. Know yourself and grow. We own our imperfections and seek feedback to grow. Accept reality. Propose solutions. We focus on what can change and bring solutions, not just problems. Be productively ambitious. We take risks for step-change impact, not incremental progress. If they describe how you like to work and they energize you, this could be a great fit. Want to learn more? Read and listen: We are one of Time100’s Most Influential Companies of 2026, and our work has been covered by The Economist , NPR , TED , and The Washington Post . We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows. Read our CEO's essay on what that will take. Priority Application Deadline: November 9, 2026 Location: This role is remote but must overlap with an East Africa timezone by at least 3 hours . We are unable to sponsor or take over sponsorship of employment visas in the U.S. or U.K. at this time. About this role The Monitoring and Evaluation (M&E) Associate for Rapid Experimentation will support the execution and analysis of A/B tests across GiveDirectly’s programs, contributing to the use of data to inform program and product decisions. This role is fast-paced and iterative - the team runs frequent, lightweight experiments designed to generate actionable answers quickly, and then uses those learnings to refine and improve programs in real time. This includes: Supporting the execution and analysis of rapid A/B tests across GiveDirectly projects , ensuring that experiments are implemented effectively and contribute to learning within and across projects Ensuring experiments are implemented correctly, measured reliably, and analyzed to produce clear and credible results , working closely with Programs, Product, Research teams, and external academic partners to align experimental design with program delivery, data collection, and operational realities Translating findings into actionable insights and well-structured learning products that serve multiple audiences - internal program and product teams, and external academic partners, ensuring results inform both immediate decisions and longer-term program direction In practice, this role is about managing a high volume of rapid experiments and turning results into clear, credible evidence that continuously shapes how GiveDirectly’s programs are refined and improved. Reports to: Senior Manager, Monitoring and Evaluation Level : Associate Travel Requirement: This role is based in Rwanda. Travel within East Africa is a regular part of the role, estimated at up to 25% of the time, to support field operations across country programs.Additional international travel may occur for trainings or team convenings, as needed (estimated up to 10%) What you’ll do: Execute and manage A/B tests across programs Conduct power calculations to ensure experiments are both statistically rigorous and feasible to implement within program constraints Set up pre-specified experimental designs, applying defined experimental groups, outcome measures, and measurement timelines Review experiment setups prior to launch and flag execution and measurement risks that may affect interpretability Ensure experiments are well-coordinated and executed as designed, aligning implementation with research plans and integrating smoothly into program delivery across Programs and Product teams Work at a fast pace across a portfolio of 2–3 live A/B tests at any given time, designed to generate actionable answers quickly and feed rapid iteration of programs and products Ensure accurate measurement and high-quality data for experiments Collaborate with external Principal Investigators (PIs) to ensure measurement approaches and data collection are aligned with research design and implementation realities Ensure experimental outcomes are captured accurately and consistently by applying established indicator and measurement approaches Prepare and manage datasets that are clean, well-structured, and ready for analysis using survey, administrative, and product data Identify and flag data quality risks (e.g., missingness, inconsistencies, measurement error) that could affect the validity of experimental conclusions Conduct targeted literature reviews to ensure measurement approaches are grounded in evidence and aligned with best practices Analyze experimental data and interpret results to inform decisions Generate reliable and decision-ready analyses of experimental data from A/B tests Assess the magnitude and direction of effects and highlight what the results do and do not suggest, noting key limitations Ensure results are clearly understood and appropriately interpreted, given data quality, sample size, and implementation considerations Translate results into actionable insights and learning across experiments Translate experimental results into clear, actionable recommendations to guide program and product decisions for individual country programs, and for the direction of GiveDirectly’s programming as a whole Structure results and key learnings so they can be reused to inform future experiments and program design Prepare concise learning products (e.g., memos, summaries) that serve multiple audiences, including internal Programs and Product teams, and external academic partners, ensuring findings are clearly communicated for both technical and non-technical stakeholders Prepare and clean de-identified datasets for sharing with external PIs and academic partners, ensuring data is structured, well-documented, and ready for independent analysis Contribute to cross-country discussions to ensure learnings from experiments are shared and applied across contexts, and maintain clear documentation so experiments are easy to track, understand, and build on over time What you’ll bring: Exceptional alignment with GiveDirectly Values and active demonstration of our core competencies: emotional intelligence, problem-solving, project management, follow-through, and fostering inclusivity. We welcome and strongly encourage applications from candidates who have personal or professional experience in the low-income and/or historically marginalized communities that we serve. Bachelor’s degree (or equivalent) in Economics, Statistics, Public Policy, or a related quantitative field 2–4 years of experience working with data in applied settings (e.g., experimentation, evaluation, analytics, or program learning), ideally in development, tech, or operations-focused roles Solid understanding of experimental design and causal inference concepts (e.g., randomization, treatment/control groups, units of randomization, statistical power, bias) and how to apply them in real-world program contexts Experience using R, Python, or Stata to clean, manipulate, and analyze data, including working with multiple data sources (e.g., survey or administrative data) Experience collaborating with cross-functional teams (e.g., programs/operations, product, or research) and external partners to implement projects and solve problems Fluency in English required Comfort working at pace - able to manage multiple workstreams simultaneously, make progress with imperfect data, and iterate quickly based on emerging findings Ability to interpret results beyond statistical significance and communicate clear, actionable insights to both technical and non-technical audiences Compensation At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy to ensure we are paying staff equitably across roles. Read more about our compensation philosophy here . Unless otherwise noted, the benefits stipend may be used to cover benefits or taken as additional taxable income. Kenya Base Salary: $46,930 Bonus at Target Performance: 10% Rwanda Base Salary: $38,560 Bonus at Target Performance: 10% UK Base Salary: £52,920 Bonus at Target Performance: 10% Annual Benefits Stipend: £2,760 United States Base Salary: $81,000 Bonus target: 10% Annual Benefits Stipend: $21,393 This role is fully remote, with a preference for candidates to be based in Kenya or Rwanda. If you’re located elsewhere, we’ll share an estimated salary benchmark for your country during the hiring process. You can find the full list of countries we’re currently able to hire in here . Why work at GiveDirectly? At GiveDirectly, we work to ensure that you have everything you need to excel in your role and on your team, including: A supportive team that works hard and cares hard A robust health benefits plan (exact details will vary by country) Flexible paid time off that staff is encouraged to take Allowances for desk set-up and learning and development #LI-REMOTE Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to " Know Your Rights " as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme , and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. **GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing,  reporting, or responding to any form of abuse or  exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.** Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide ! Referrals Know the right person for this role? Please consider referring them . We offer a reward of $3,000 for a Senior Manager or above role, and $500 for a Manager role, paid if we end up hiring your referral. Thank you for sending great people our way!

Location: Vladivostok Workplace: onsite ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.   For more information, visit xsolla.com.   ABOUT YOU We are looking for a Junior Developer (AI Engineering) to join the Xsolla Partner Network (XPN) team, a platform that connects game studios and publishers with content creators. The position involves participation in all stages of work on an automated content generation system: from stabilising the existing vertical video pipeline for YouTube Shorts, TikTok and Instagram Reels to developing the agentic architecture, launching the virtual AI creator direction and building analytics on the results. Working with the team means applying cutting-edge generative models and agentic tools to a real production product every day, seeing the direct effect of your work in content metrics, and learning from the inside how the games industry, the creator economy and content-driven game promotion work. The developer will work with a live system that has a real audience and measurable results, make technical decisions independently, build expertise in generative AI and take on the role of the project's technical owner as it grows. Responsibilities Take over the existing vertical video generation pipeline (script → voiceover → visuals → subtitles → editing → auto-posting → tracking links) for YouTube Shorts, TikTok and Instagram Reels, understand it from the docs and code, and bring it to stable operation. Grow the pipeline: improve content quality and virality, scale up generation volume, reduce cost and turnaround time per video. Keep track of new generation models and services (video, image, voice, LLM), test them quickly and replace outdated parts of the pipeline with better or cheaper ones. Launch and develop the virtual AI creator direction: a consistent character, voice, style and content plan. Design and improve agents: write and debug prompts and sub-agent roles, validation between phases, context and cost control. Build a dashboard for running generation and tracking content analytics (views, clicks, conversions, cost per video). Automate publishing: platform integrations, posting from mobile devices, scaling channels. Write clean, testable, documented code, including unit and integration tests. Requirements Solid Python, basic bash. Hands-on experience with LLM APIs (Claude, OpenAI, etc.) and agentic pipelines: a real project, pet project or hackathon entry you can show and talk through. Experience using Claude Code, Cursor or similar tools as a working environment, not just as autocomplete. Understanding of prompt engineering basics: defining an agent's role, limiting context, getting stable structured output. Understanding of Git, team development and Docker basics. Ability to work with REST APIs and webhooks, basic understanding of databases (SQL). Understanding of vertical content: games, creators, streams, TikToks, Shorts, how video discovery works, what shadowbans are, how mobile posting farms are set up. A big plus if this is your hobby: your own channel, editing, streaming, experiments with AI generation. Ownership: the ability to take a task end to end and deliver a result without external supervision. Initiative: your own proposals on improving the pipeline, new models and automation, and the readiness to implement them yourself. Ability to figure out someone else's system from code and documentation, reconstruct the logic and ask the right questions. Independence in technical decisions and openness in communication: flag problems immediately. Product thinking: measuring results by content metrics (views, retention, clicks) and cost per video. Ability to explain the system's capabilities and limitations to non-technical colleagues. Experimental mindset: fast hypothesis testing and the willingness to drop what did not work. Desire to grow with the project: from stabilising the current pipeline to becoming its technical owner. English at the level of reading technical documentation (Intermediate+). Nice to have Experience with video and image generation via API ( fal.ai , Kling, Runway, Seedance, Nano Banana, etc.), TTS and speech recognition (Whisper and similar). ffmpeg: assembly, normalisation, subtitles, overlays. Experience building reliable calls to paid APIs: retries, idempotency, cost tracking. n8n or other workflow tools. Telegram bots, YouTube / TikTok / Instagram / Discord APIs. Android / mobile device automation. Supabase or PostgreSQL. Experience with GCP, Docker, Kubernetes. Observability and monitoring (Datadog, OpenTelemetry). Your own channel, pet projects, open-source experience or hackathon participation. Benefits   Convenient working tools: New Mac laptop and any other necessary equipment for your efficient work. Google Workspace, Atlassian, Jira, Slack   Professional growth: Exchange of experience between employees within the company Opportunity for professional growth within the company and department Obtaining expertise in various areas and products of the company   More perks Possibility of flexibility working Access to the corporate library No dress code Comfortable and new office environment The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Role Focus: Build and deploy production-grade AI/ML and Generative AI systems, with a focus on LLMs, RAG, personalization, MLOps, and cloud infrastructure. - Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants.

Location: Москва Команда развивает корпоративное хранилище данных компании в рамках центра управления данных: занимается развитием ядра хранилища, а также отвечает за ряд прикладных задач для бизнеса. Обязанности * Настройка и поддержка дата-продуктов и инфраструктуры вокруг них. * Контроль инцидентов инфраструктуры, обеспечение надёжности и observability; * Сопровождение текущих интеграций и участие в создании новых; * Помощь командам разработки и аналитики в быстром и безопасном выкатывании обновлений; * Поддержание порядка в инфраструктуре, где работают базы данных и сервисы обработки; * Создание новой инфраструктуры для новых продуктов и участие в построении платформы данных. Требования * Уверенное владение SQL: написание сложных запросов, понимание того, как базы данных их выполняют, и умение их ускорять. * Опыт работы с аналитическими базами данных (например, ClickHouse, Greenplum) и обычными реляционными (PostgreSQL). * Понимание того, как устроена сборка и трансформация данных (ETL/ELT). * Знание принципов работы и архитектуры различных СУБД. * Опыт работы с основными инструментами DBA: создание пользователей, ролевая модель, инструменты бэкапирования и восстановления, траблшутинг. * Опыт работы, развёртывания и администрирования Apache Airflow или схожих систем (Dagster, Prefect). * Умение писать понятные сценарии сборки и корректно обрабатывать сбои и перезапуски. * Уверенное использование Python и Bash для написания скриптов и автоматизации задач. * Хорошее понимание Linux на уровне системного администрирования. * Опыт работы с Docker: сборка и оптимизация контейнеров, использование окружений, docker-compose. * Настройка процессов CI/CD (GitLab, GitHub Actions или Jenkins) для автоматической проверки и деплоя кода. * Опыт с Prometheus, Graphite, Zabbix и другими системами мониторинга и алертинга. * Опыт с системами мониторинга и дашбордами (Grafana, Loki). * Использование ELK-стека и аналогичных систем хранения и обработки логов. Условия * Гибридный формат работы (современный офис в Москве, м. Проспект Мира); * Льготные ипотечные условия кредитования; * Подписка Прайм с возможностью совместного использования на трёх близких; * ДМС с первого дня и скидки на страхование для близких; * Корпоративная пенсионная программа; * Детский отдых и подарки за счет Компании; * Обучение за счет Компании: онлайн курсы, неограниченный доступ к библиотеке и обучение на базе Корпоративного университета, тренинги, митапы и возможность получить новую квалификацию.

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Senior Software Engineer (Full Stack) - Home Page and Merchandising Platform Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale. The Team: Home Page & Merchandising Platform team at Deliveroo, owning the backend that powers the homepage experience for millions of customers. You'll work closely with Product and Design, contribute to a platform that's evolving alongside Deliveroo's broader integration with DoorDash and Wolt, and help shape how we build at scale. We're leaning into AI-assisted engineering to ship faster while keeping a high craft bar. We’re looking for a Senior Software Engineer - Full Stack to join our London team. In this role you'll work across the stack, own features end to end, partner closely with Product and Design, and lead technical planning. Get to know our Engineering team — what drives us, how we work, and what you can expect. What You’ll Be Doing This role is based in our London office with a hybrid setup, typically 3 days in the office. Here’s what your day-to-day might look like: Drive technical execution by designing, building, and scaling backend services and frontend components that handle high-traffic workloads (20krpm and above). Lead architectural improvements and code reviews, ensuring the efficiency, visibility, and operational health of your team's systems. Partner with cross-functional disciplines (PMs, Experience Designers) to plan projects, foresee dependencies, and mitigate technical risks. Break down complex problems into deliverable choices, influencing the roadmap and technical direction within your team. Support the growth of others by mentoring colleagues and taking an active role in our engineering hiring process to build high-performing teams. What You’ll Need to Thrive Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others: Significant experience building web-based applications in a modern stack; we use Go, Ruby, Python, and Scala, and we’re looking for someone keen to work across them. Proven ability to design and operate web architecture at scale , specifically with systems handling significant request volumes. Demonstrated ownership of relational databases (PostgreSQL, MySQL) and experience with "NoSQL" backends such as Redis, DynamoDB, or Elasticsearch. A commitment to software craft , with a pride in writing readable, well-designed, and thoroughly tested code. Strong collaborative leadership skills , with a track record of guiding implementation choices and supporting the personal growth of teammates. Why Join Us? At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. 💰 Share in the success you help create Competitive salary and equity options, so you’re rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog . We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Explore our Engineering Interview Guide here to help you feel confident at each stage. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Role Focus: Build and deploy production-grade AI/ML and Generative AI systems, with a focus on LLMs, RAG, personalization, MLOps, and cloud infrastructure. - Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants.

SQL и базы данных, Python (Pandas) / R (будет плюсом), BI-решения и дашборды, AI-модули и аналитические системы заказчика, документация требований: ТЗ, user stories, use cases, схемы процессов. Опыт от 2 лет в роли бизнес-аналитика, аналитика, проектного координатора или в смежной роли;

Position Overview: Join our Central Analytics team to build high-quality data marts, tools, and AI-powered workflows that shape player experience and drive game growth. What You’ll Take On: Write and optimize complex SQL queries to support, experimentation, and model feature engineering across large-scale player datasets.

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Senior Software Engineer Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale. The Team: MX Intelligence builds the tools DoorDash, Deliveroo and Wolt use to find, sign and onboard restaurants and merchants. That covers identifying and matching prospective merchants through to the CRM, quoting and contracting tools sales teams use to bring them onto the platform. We're replacing a Salesforce-based stack with one first-party platform shared across all three brands. We’re looking for a Senior Software Engineer to join our London (Hybrid - 3 days from the office) team. In this role, you’ll help us improve code structure and architecture while leading team project planning to maximise efficiency and reliability across our production systems. Get to know our Engineering team — what drives us, how we work, and what you can expect. What You’ll Be Doing Here’s what your day-to-day might look like: Drive Technical Excellence: Improve code structure and architecture across your team’s remit, performing high-impact code reviews to ensure quality and scalability. Lead Project Planning: Foresee dependencies and risks, partnering closely with Product and Design to ensure smooth delivery of complex features. Optimise Operations: Simplify the maintenance and operation of production systems, promoting visibility, health, and operational readiness. Collaborate & Influence: Build relationships across engineering teams to identify collaboration opportunities and influence the wider technical roadmap. Mentor & Hire: Support the personal growth of your colleagues through technical guidance and take an active role in conducting engineering interviews to scale our team. What You’ll Need to Thrive Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others: Strong Engineering Principles: Deep pride in writing readable, well-designed, and well-tested software. Backend Expertise: Significant experience building web-based applications (we use Go, Ruby/Rails, Python, Scala, and Rust). Data Proficiency: Practical experience with relational databases (PostgreSQL, MySQL) and "NoSQL" backends like Redis, DynamoDB, or ElasticSearch. Systems at Scale: Proven ability to manage web architecture at scale (handling 20krpm and above). Technical Leadership: Experience breaking down large pieces of work and guiding implementation choices for a team of engineers. Why Join Us? At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community organisers, proud parents, and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. 💰 Share in the success you help create Competitive salary and equity options, so you’re rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog . We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Explore our Engineering Interview Guide here to help you feel confident at each stage. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Москва AI-агент управляющего портфелем облигаций: требуется разработать агента, который будет оркестрировать несколько ML моделей для анализа биржевых стаканов облигаций и на основании этого предлагает оптимальные варианты для совершения сделок покупки/продажи бумаг трейдерам AI - позиционер: a. Автоматическая квитовка платежей – требуется автоматизировать процесс сбивки плановых и фактических платежей по информации о платеже и его назначении b. Универсальный тул мониторинга временных рядов – требуется разработать архитектуру для детекции аномалий во временных рядах в потоках платежей в различных системах (НОСТРО, ЛОРО, TFM). Обязанности * сбор требований по моделям и коммуникация с заказчиком и DE * определение целевых метрик решения и согласование их с заказчиком * сбор и подготовка данных (Hadoop, pyspark, написание парсеров для сборки внешних данных) * построение моделей по табличным данным * поиск аномалий во временных рядах * построение моделей предсказания временных рядов * классификация новостей по степени влияния на рынок облигаций * генерации торговых сигналов на основе неструктурированных данных * создание RAG базы для генерации текстовых обоснований рекомендаций для трейдеров * адаптация LLM для формулировки торговых идей на естественном языке * тестирование различных гипотез. Требования * опыт работы Data Scientist от 3х лет * образование по направлениям "Математика", «Физика», «Мат. методы в экономике», (желательно выпускники - МГУ, МФТИ, ВШЭ и других ведущих вузов страны) * глубокие знания в области теории вероятностей и математической статистики * навыки написания качественного кода на Python (знание ООП, умение написания оптимального кода по скорости и памяти) * понимания работы алгоритмов ML-моделей (бустинг, нейронные сети, NLP-модели, LLM) * владения Python несколькими библиотеками для классического ML из списка или релевантными (numpy, sklearn, pandas, scikit-learn, matplotlib/seaborn/plotly, catboost/lightgbm/xgboost, fbprophet, pygam) * владения pytorch или другими DL фреймворками * практика с нейросетевыми моделями (RNN, LSTM, Transformer, BERT) * опыт разработки NLP-моделей (NLTK, spaCy, gensim, transformers). Будет плюсом: * понимание работы рынков ценных бумаг или готовность развиваться в этой области: * знание фин. метрик: YTM, duration и т.д. * опыт работы с кривыми доходностей и понимание оценки риска ценных бумаг * понимание концепции парной торговли * практические навыки fine-tuning и инференса LLM * опыт разработки и оптимизация RAG-пайплайнов. Условия * комфортный современный офис рядом с м. Кутузовская * офисный формат работы * ежегодный пересмотр зарплаты, квартальная и годовая премия (премия указывается в зависимости от должности и системы премирования) * 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.

- Анализом эффективности промо-кампаний, программ и иных активностей; - Проведением анализа данных для выявления закономерностей и инсайтов в пользовательском поведении;

Location: Boston, MA; Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY; Washington, DC 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 Anthropic's Corporate Systems team runs the core collaboration platforms everyone here works in and builds the tooling and automation behind IT. That responsibility extends to the companies we acquire. Their people, devices, and systems have to come into Anthropic securely. You'll own the IT side of Anthropic's acquisitions: due diligence, integration planning, and integration. Before close, you'll assess a company's IT environment and give the deal team a clear read on risk and effort. You'll define the technical integration plan and its requirements: what moves, where it lands, in what order, what has to be ready on day one, and how each security gap gets closed. After close, you'll carry out that plan and bring the company's people, devices, and systems onto our stack. This is a hands-on engineering role. You'll hold admin, write code, build automation, run the cutovers yourself and bring in other teams when the work calls for their expertise or support. You'll lead this work for IT Engineering and partner with Security, Corporate Development, Legal, People, and Finance at every stage. M&A will be your primary focus and responsibility, but you'll be a full member of the Corporate Systems team;  taking part in planning and reviews, using and contributing to the team’s tooling, and contributing to the roadmap. Early on, M&A will be most of your work, including using Claude to automate the repeatable parts of diligence and integration. As that automation matures, and when M&A load is light, you'll contribute to other parts of the team’s roadmap. Responsibilities Lead technical IT due diligence: assess a company's identity, applications, endpoints, and infrastructure, and brief the deal team on risk and effort before close Find the gaps between an acquired environment and Anthropic's security model, rate them, and build the mitigations into the integration plan Define the technical integration plan and its requirements: what moves, where it lands, in what order, and what has to be ready on day one Run the integration: take over administration, migrate people, devices, and data, and retire what's no longer needed, with support from other IT Engineering teams as required. Work with Business Technology, Client Platform, Corporate Network, IT Operations, and Security on their parts of each integration Keep Corporate Development, Legal, People, Finance, and the acquired company's team clear on where IT stands Build a repeatable IT M&A playbook and automate as much of it as possible with Claude When M&A work is light, contribute to core Corporate Systems projects You may be a good fit if you have 8+ years as a hands-on engineer in corporate IT. You have designed and shipped systems, carried out migrations or integrations yourself, and owned at least one area end-to-end, with experience supporting other areas: identity, applications, endpoints, or corporate infrastructure Experience administering enterprise identity and collaboration platforms such as Google Workspace, Slack, and an SSO provider, and working code in Python or similar against their SaaS APIs Working knowledge of endpoint management and security concepts, enough to lead diligence on an unfamiliar fleet A proven ability to understand an unfamiliar IT environment quickly and deliver a prioritized view of risk to non-specialists A record of leading technical projects that span several teams and run to a fixed date, while doing much of the engineering yourself Comfort working autonomously, with ambiguity and confidential information Clear communication with executives, legal and corporate development teams, and engineers at acquired companies Strong candidates may also have Prior M&A, carve-out, or company-to-company migration experience Experience across the full stack: endpoints, systems, applications, and infrastructure Hands-on experience managing a device fleet or running an MDM Experience working in or alongside a security team A record of building tooling that replaces manual IT work Using Claude or similar tools as a core part of how you work Representative projects Assess an acquired company's IT environment that nobody here has seen and produce a prioritized integration plan within days Design a way to size integration effort and risk for a company of any shape or size Automate bringing acquired people and devices onto Anthropic's identity and device management Write the IT risk memo for a live deal and present it to Corporate Development and Security leadership Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $325,000 — $360,000 USD 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.

-Развивать личный кабинет посетителя и ключевые этапы воронки — от первого контакта на лендинге до забронированного урока. -Отвечать за атрибуцию: выстраивать сквозные цепочки визитов, работать с UTM-метками и локализовать разрывы в трекинге конверсий (V2L / V2B).

Location: Korea Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT NORTH North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. WHY THIS ROLE? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. We’re looking for senior software engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one. WHAT YOU’LL DO Customer-Facing Technical Impact - Work closely with enterprise customers to translate high-value, ambiguous business problems into well-framed agentic problems with clear success criteria and evaluation methodologies. - Provide technical leadership across the full development and evaluation lifecycle, including post-deployment iteration, for agentic workflows. - Travel up to 20–40% to work on-site with customers and partners Agent Design, Build and Production launches - Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools and data sources with enterprise-grade reliability and performance. - Balance rapid iteration with enterprise requirements, evolving prototypes into stable, reusable solutions. - Define and apply evaluation and quality standards to measure success, failures, and regressions; Debug real-world agent behavior and systematically improve prompts, workflows, tools, and guardrails. - Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production - Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution Team Mentorship & Organizational Impact - Mentor engineers across distributed teams. - Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization. - Contribute to shared frameworks and patterns that enable consistent delivery across customers. REQUIRED SKILLS & EXPERIENCE Technical Foundations - Demonstrated ability to build, ship, and operate production-grade software systems. - Substantial hands-on experience designing, building, evaluating, and fine-tuning LLM-based agents in real-world applications. - Deep familiarity with modern LLM ecosystems, including models (e.g., GPT, Claude, Gemini), vector databases, RAG architectures, agent/orchestration frameworks, prompt engineering, tool use, multi-step agent workflows (e.g., ReAct), and robust failure handling. - Strong proficiency in Python and/or JavaScript/TypeScript. Experience and Leadership - Experience working directly with customers or stakeholders to design and deliver LLM-powered agentic solutions aligned with real business needs. - Proven technical leadership at the team level, including guiding architecture, implementation, and delivery of complex AI systems. ADDITIONAL REQUIREMENTS - Strong written and verbal communication skills. - Fluency in English and Korean language. IT’S A BONUS IF YOU HAVE: - Experience setting architectural standards for AI and agentic systems across distributed teams - Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it - Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms) - Experience with enterprise security, compliance, or auditability requirements for AI systems FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.