Вакансии

- Strong React Native expertise, including architecture, state management, navigation, and animations. - TypeScript experience.

• Provide technical support to customers, partners, and internal teams. • Install, configure, test, and troubleshoot equipment and systems.

-разбираешься в бизнес-контексте. -общаешься с Product, Mobile, Operations.

-Ручное функциональное, регрессионное, Smoke и приемочное тестирование Web приложений и Backend. -Создание и актуализация тестовой документации: дизайн тест-кейсов, составление чек-листов, оформление баг репортов, накопление базы знаний о продуктах.

Location: Москва Команда центра аэрологистики, которая входит в состав департамента автономных решений, занимается научными исследованиями в области построения логистических маршрутов с применением отечественных моделей беспилотников и отдельных технологических решений. Научные достижения и технологические разработки в этом направлении открывают широкие перспективы для дальнейшего повышения конкурентоспособности отрасли. Обязанности * Разрабатывать и интегрировать компоненты системы автопилота, связывая полетный контроллер и компьютер-компаньон * интегрировать PX4/ArduPilot через MAVLink, MAVSDK, uORB/DDS * разрабатывать ROS 2-компоненты на Python и C++ * подключать камеры, лидары, IMU, GNSS, дальномеры и другие сенсоры * разрабатывать и сопровождать интерфейсы UART, SPI, I2C, CAN/Ethernet, диагностировать проблемы взаимодействия с оборудованием * отлаживать работу ПО на реальном оборудовании, создавать тесты, воспроизводить дефекты по логам, участвовать в SIL/HIL, регрессионных проверках и полевых испытаниях * поддерживать качество production-кода: тестируемость, документацию интерфейсов, диагностику, логирование и обработку ошибок. Требования * Знание современного C++ на продвинутом уровне: многопоточность, работа с памятью, проектирование API, отладка и профилирование * опыт production-разработки на Python: тесты, симуляции, автоматизация, обработка логов и диагностические утилиты * экспертное знание ROS 2: DDS, QoS, executors, callback groups, lifecycle, composition, intra-process communication, TF2, rosbag и диагностика распределенного графа * глубокое понимание робототехники: системы координат и преобразования, кинематика, теория оценивания, EKF/UKF, sensor fusion, наблюдаемость, ошибки навигации, основы траекторного планирования и динамики БПЛА * экспертное знание полетного стека PX4 и/или ArduPilot: архитектура, внутренние интерфейсы, оценивание состояния, режимы полета, обмен данными, ограничения offboard/external control, failsafe и интеграционные границы * продвинутые навыки embedded- и Linux-разработки: процессы, сеть, systemd, диагностика ресурсов * умение работать с реальным оборудованием и доводить системы до стабильной эксплуатации. **Будет плюсом:** * Опыт участия в полевых испытаниях беспилотных систем * вклад в open-source проекты в области робототехники, автономности или БПЛА. * навыки работы с генеративными AI-моделями; опыт создания AI-агентов и использования их в работе будет преимуществом * опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов * инструментальное владение AI для анализа, генерации и автоматизации. Условия * Комфортный офис в Сколтехе * офисный формат работы * конкурентная компенсация (оклад и премии по результатам деятельности) * ДМС c первого рабочего дня, страхование от несчастных случаев и тяжелых заболеваний * материальная помощь и социальная поддержка, корпоративная пенсионная программа * дисконт-программы от компаний партнеров * бесплатный фитнес на территории работодателя * подписка Прайм с возможностью совместного использования на трёх близких * внешнее и внутреннее профессиональное обучение: семинары, тренинги, конференции, корпоративная библиотека.

Location: Germany Workplace: Hybrid WHY INTEGRATIONS ENGINEERING AT LANGFUSE Your work puts Langfuse into developers’ hands. Our SDKs are downloaded 26M+ times per month, and for many developers the first thing they touch is an integration — a few lines of code that connect their favorite framework to Langfuse. When that experience is seamless, they’re wow’ed. When it’s not, we might have lost them. You’ll own that critical first impression across 40+ framework integrations. You’ll live at the frontier of LLM application development. The AI framework ecosystem moves fast — new agent frameworks, orchestration libraries, and model providers emerge every week. You’ll be among the first to instrument them, giving you unmatched exposure to how cutting-edge AI applications are built. The developers you serve are some of the most ambitious software engineers in the world, and working closely with them will make you an expert on LLM engineering yourself. Everything you build is open source and immediately visible. All Langfuse integrations are MIT-licensed. When you ship a new integration or improve an existing one, thousands of developers benefit the same day — and they’ll tell you about it in GitHub issues, on Twitter, and in our community channels.   WHAT YOU’LL DO - Build and maintain framework integrations. Langfuse integrates with 40+ frameworks and model providers: OpenAI SDK, Vercel AI SDK, LangChain, LlamaIndex, Pydantic AI, OpenAI Agents, CrewAI, Amazon Bedrock AgentCore, LiveKit, and many more. You’ll own these integrations end-to-end — from initial implementation to ongoing maintenance as frameworks evolve. When a new framework gains traction, you’ll be among the first to instrument it. - Design new integration patterns for emerging frameworks. When a framework or a new agent orchestrator appears, you’ll evaluate it, design the right instrumentation approach (callback handler, decorator, OTEL auto-instrumentation, or a combination), build the integration, write the docs, and ship it. You’ll develop strong opinions on what makes a great integration experience. - Contribute to the core SDKs. While integrations are your primary focus, your work will surface needs in our Python and TypeScript SDKs. You’ll contribute improvements to the core SDK when your integration work demands it — whether that’s a new hook point, better context propagation, or performance optimizations. - Write documentation and integration guides. At Langfuse, docs are part of our core product. When you ship a new integration, the guide ships with it. You’ll own the integration docs, quickstart tutorials, cookbooks, and migration paths that help developers get started in minutes. - Be a voice in the developer community. You’ll engage with framework communities, respond to integration-related GitHub issues, write blog posts about new integrations, and be present in our Slack/Discord channels. You’ll build relationships with framework maintainers and represent Langfuse in the broader AI developer ecosystem. WHAT WE’RE LOOKING FOR - Passionate about the LLM ecosystem. You’ve built real applications with frameworks like LangChain, Pydantic AI, Vercel AI SDK, LlamaIndex, or similar — or you have a deep willingness to go deep and get your hands dirty with every major framework in the space. You’re excited about this ecosystem, not just familiar with it. - Strong in Python and/or TypeScript. You write clean, reliable code. You don’t need to be a systems-level performance expert, but you care about code quality and understand that integrations run inside other people’s production systems. - Product-minded engineer. You think about the developer who’s going to use your integration at 11pm trying to ship a feature. You obsess over the getting-started experience: how many lines of code does it take? Is the error message helpful? Does the docs example actually work? - Self-directed and motivated. You know how to develop conviction about what to build and how to ship it. You don’t wait for detailed specs — you investigate the framework, talk to users, and propose the right approach. - Excited about open source and developer community. You genuinely enjoy talking to developers about their integration challenges, writing clear documentation, and contributing to open source projects. - Thrives in a small, accountable team. Your output is visible and matters. You’re comfortable owning outcomes, not just tasks. CS or quantitative degree preferred, but not required. We care far more about what you’ve built and your hunger to learn. BONUS POINTS - Experience with OpenTelemetry internals or observability instrumentation - Contributions to popular open source projects, SDKs, or developer tools - Experience building developer tooling, CLIs, or client libraries - Former founder or early startup experience - Active presence in AI/ML developer communities (blog posts, talks, open source)   No candidate checks all boxes. If you feel you are a good fit for this role, please go ahead and apply.   PROJECTS YOU COULD OWN - Build and ship a Langfuse integration for an emerging agent framework (e.g., OpenClaw, new OTEL-based instrumentation) - Design the integration pattern for a new category of AI tools (e.g., voice agents via LiveKit/Pipecat) - Create comprehensive quickstart cookbooks that get developers from zero to traced in under 5 minutes - Work with the OpenTelemetry community to improve GenAI semantic conventions - Maintain and upgrade our most popular integrations (OpenAI, LangChain, Vercel AI SDK) as those frameworks ship breaking changes   PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Home Based - Americas; Home based - EMEA Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, as well as industry leaders across many sectors. Canonical is a pioneer of global distributed collaboration, with 1,200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. We are hiring an Engineering Manager for Distributed Systems Testing to lead a team responsible for the quality engineering platform that enables deployment and validation of distributed systems across Canonical's cloud portfolio. We see quality engineering as a first-class engineering practice. Our Distributed Systems Testing team ensures the performance, correctness, resilience and interoperability of Canonical cloud solutions built with technologies such as Juju, Terraform, OpenStack and Kubernetes. These systems are deployed and tested across diverse environments, from bare-metal to the public cloud. As Engineering Manager, you will combine strong software engineering judgement with people leadership. You will develop engineering talent, establish effective engineering practices, shape technical direction with senior engineers, and ensure the team delivers high-quality testing infrastructure and automation that enables engineering teams across Canonical to ship software with confidence. We believe engineering managers should be outstanding engineers themselves. You should be comfortable reviewing patches, evaluating software design, debugging a distributed system, or discussing test architecture. You will contribute technically where appropriate to set a high standard, while recognizing that your greatest impact comes from shaping the direction, focus, effectiveness, and growth of the whole team. You will work closely with senior engineers and engineering leaders across Canonical to define priorities, improve testing capabilities, and advance how we validate increasingly complex cloud-native and distributed systems. Location: This is a globally remote role, typically leading a team concentrated within a major time zone such as EMEA or the Americas. What you'll do Lead, coach, and develop a high-performing team of software and quality engineers, ranging from graduate to senior level Set clear expectations, strengthen engineering practices, and ensure timely delivery against agreed goals Partner with senior engineers to shape technical strategy, architecture, roadmap, and engineering standards Guide the development of automated testing infrastructure for the reliability, interoperability, and resilience of distributed systems Improve CI pipelines, testing tools, and reporting used to validate Canonical's products and solutions across bare-metal, private and public cloud environments Enable engineering teams across Canonical to adopt effective distributed-systems testing practices and tooling Contribute technical leadership through design and code reviews, debugging, and hands-on engineering where appropriate Represent the team with stakeholders and collaborate across Canonical on quality engineering, infrastructure, and developer experience What we're looking for in you An exceptional academic track record from both high school and university Experience in leading, coaching, and mentoring software engineers Professional software engineering experience with Python or Go Expertise in distributed systems, cloud infrastructure, quality engineering, or a closely related domain Strong knowledge of modern software testing processes, strategies, and automation Experience with Linux (Debian or Ubuntu preferred) Strong technical judgement and the ability to engage meaningfully in code reviews, architecture discussions, and software design Experience working in an agile development environment with the ability to organize a team to deliver high-quality results Professional written and spoken English with excellent communication and presentation skills Great interpersonal skills, curiosity, flexibility, and accountability, demonstrating passion, thoughtfulness, and self-motivation Ability to travel twice a year, for company events up to two weeks each Additional skills we value Experience with any of the following: Cloud technologies such as Kubernetes, OpenStack, Juju, Terraform, AWS, Google Cloud, or Azure Designing testing strategies for distributed or cloud-native systems Building or operating large-scale CI/CD and test infrastructure Applying AI or machine learning to test analysis, failure classification, or engineering workflows Deploying, operating, or debugging distributed systems Leading globally distributed teams What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually, and more often for graduates and associates, to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits that reflect our values and ideals. We balance our programmes to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme and wellness support Opportunity to travel to new locations to meet colleagues Priority Pass and travel upgrades for long-haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and a leading platform for AI, IoT, and the cloud, we are changing the world of software. We recruit globally and set a very high standard for people joining the company. We expect excellence; to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. Requisition ID: 1361

Location: Boston, Massachusetts; Foster City, California; Marlton, New Jersey; Remote, United States Do you care about keeping developer tools running reliably, enjoy digging into the systems and infrastructure behind them, and know that reliable tools make all the difference for development teams? If you are calm under pressure, enjoy diagnosing complex systems, want to help developers overcome technical hurdles, and thrive on deep problem-solving across diverse tech stacks, this role is for you. About JetBrains We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale. About TeamCity TeamCity is a highly scalable CI/CD server that integrates across the modern software ecosystem. Because it supports complex server-side setups and SaaS deployments, issues can stem from the product itself or the surrounding infrastructure. What you’ll do As part of our Support Engineering team, you will act as a crucial link between global engineering teams and our internal product developers. You will take ownership of incoming technical issues, pinpoint root causes, and provide working resolutions or clear escalations. You'll work American-timezone hours to give our global community timely, effective support. Day to day, you will: Identify whether an issue stems from the product, infrastructure, or third-party integrations. Provide workarounds, submit bug reports, or escalate issues directly to development. Capture insights and publish solutions following KCS (Knowledge-Centered Service) principles. Share user feedback with internal product teams to shape future tool improvements. What you’ll bring A systematic and structured, but flexible approach to troubleshooting complex software and infrastructure issues. A clear, direct communication style that explains technical details in ways others can understand. Comfort working independently across distributed teams and time zones. Curiosity about how different build systems, VCS providers, and clouds operate together. An inclination to leave documentation and systems better than you found them. What you’ll need Fluency in English, with strong written communication skills. The ability to work aligned with American time zones. Practical experience troubleshooting web servers and applications (such as Tomcat and Java-based environments). A working knowledge of relational databases (such as PostgreSQL, MySQL, or MSSQL). Hands-on experience with version control tools and hosting platforms (such as Git or Perforce, GitHub, GitLab, or Bitbucket). Familiarity with build automation tools (such as Gradle, Maven, or .NET build systems). An understanding of containerized environments or cloud infrastructure (such as Docker, Kubernetes, AWS, or Azure). What success looks like Success in this role means resolving complex support cases efficiently while maintaining clear communication with developers. You build trust by accurately diagnosing underlying infrastructure or application bugs rather than addressing symptoms alone. Over time, your contributions to the knowledge base reduce repeat issues, and your feedback helps product teams make TeamCity more resilient. #LI-DNI This range reflects the employer’s good-faith estimate of the base salary it reasonably expects to pay for the position at the time of posting. Starting pay within the range will be determined based on job-related factors such as skills, qualifications, experience, and work location. The base salary range (per year) for this position in the posted work location(s) is $144,000 — $216,000 USD We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

– Поддерживайте, масштабируйте и повышайте безопасность локальных кластеров Kubernetes (на собственном сервере, а не в управляемом облаке) для обеспечения высокой доступности и аварийного восстановления. – Разработка, внедрение и управление инфраструктурой как кодом (IaC) для локальных сред с использованием Ansible и других инструментов автоматизации.

– Полноценный fullstack — фичи end-to-end от API до UI, без разделения на бэк/фронт. – Владение зоной: архитектура, code review, ответственность за прод.

— Разрабатывать Python / SQL-пайплайны загрузки и обработки данных из файлов, API и информационных систем. — Проектировать таблицы хранилища: сущности, связи, правила преобразования.

Location: Москва Мы развиваем направление робототехнических шоу и создаем сценические постановки с участием роботов. В рамках этой задачи мы ищем Motion Control Engineer, который будет отвечать за адаптацию, настройку и развитие алгоритмов управления движением для реальных сценариев эксплуатации. Эта роль предполагает работу на стыке управления движением, машинного обучения, робототехники и практического внедрения на реальных платформах. Основная цель позиции - обеспечивать выразительные, устойчивые и безопасные движения роботов в условиях сценических выступлений, с учетом требований к синхронности, качеству исполнения и надежности. Обязанности * адаптировать существующие двигательные навыки и политики управления под задачи сценических и танцевальных постановок * настраивать параметры движений с учетом особенностей площадки, покрытия, темпа, композиции выступления и количества роботов * разрабатывать и улучшать переходы между движениями и навыками для формирования цельных и устойчивых последовательностей * работать с данными motion capture: анализировать, обрабатывать и использовать их для подготовки новых движений, референсов и обучающих выборок * формировать датасеты для дообучения и адаптации моделей управления. * анализировать качество исполнения движений, выявлять причины нестабильности и определять допустимые условия применения конкретных навыков * разрабатывать, внедрять и дорабатывать алгоритмы управления движением на основе Reinforcement Learning и Imitation Learning * проводить тестирование и валидацию решений как в симуляции, так и на реальном роботе * улучшать модели робота и среды обучения, участвовать в задачах Sim2Real * применять современные подходы из научных публикаций и индустриальной практики * улучшать модель робота и среды обучения, решать задачу Sim2Real. Требования * веренное владение Python * практический опыт работы с PyTorch * опыт разработки или применения алгоритмов Reinforcement Learning и/или Imitation Learning * опыт работы с робототехническими симуляторами, например MuJoCo, Isaac Gym, Isaac Sim или аналогичными * понимание принципов управления движением, стабилизации и построения двигательных навыков * навыки анализа поведения обученных политик и поиска причин нестабильной работы * готовность работать на стыке исследований, инженерной реализации и тестирования на реальной платформе **Будет плюсом:** * опыт работы с данными motion capture * опыт работы с антропоморфными роботами * интерес к сценическому движению, синхронизации и постановке групповых робототехнических номеров. 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.

Key Responsibilities: Develop and improve RAG applications: chunking, embeddings, retrieval and reranking. Build LLM workflows and agents with LangChain, LangGraph, LlamaIndex, CrewAI or similar.

Location: Helsinki, Finland About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About the Team The Unified Privacy Platform team’s mission is to earn the trust of every DoorDash user by upholding their right to privacy, consent, and transparency. We are building a common privacy foundation across DoorDash, Wolt, and Deliveroo so Consumers, Dashers, and Merchants can understand how their data is used, control their choices, and exercise their privacy rights through simple, consistent experiences. Our work is organized around three connected pillars: the Privacy Center, a unified user-facing destination for privacy controls and rights; the Unified Privacy Platform, which captures and enforces consent, policy, jurisdictional requirements, and privacy actions; and Privacy Operations and Intelligence, which gives Legal, Support, Privacy, and engineering operators the workflows, diagnostics, audit history, and automation needed to resolve privacy work safely and efficiently. Together, these capabilities turn fragmented, one-off compliance work into reusable platform primitives that can support new products, brands, and emerging regulations. About the Role DoorDash is looking for an Engineering Manager to lead the Unified Privacy Platform team. You will lead a team of backend and platform engineers responsible for the next generation of privacy and consent infrastructure, including the Privacy Center, the User Consent Platform, privacy-policy decisioning, self-service data-rights experiences, and the operational tooling required to manage privacy cases at global scale. As the Engineering Manager, you will own and execute a multi-year vision for privacy at DoorDash. You will balance legal and regulatory correctness, user trust, security, reliability, and developer velocity while building systems that work consistently across DoorDash, Wolt, and Deliveroo. You will be a strategic partner to Product, Legal, Security, Data Governance, Marketing and Communications, and engineering leadership, establishing clear ownership boundaries and turning complex privacy requirements into scalable, self-service capabilities. You’re excited about this opportunity because you will… Lead and mentor a high-performing team of backend and platform engineers, fostering a culture of ownership, privacy by design, operational excellence, and thoughtful cross-functional partnership Drive the technical strategy across the Privacy Center, the Unified Privacy Platform, and Privacy Operations and Intelligence Build the cross-brand User Consent Platform, including canonical consent state, policy and configuration management, consent SDKs, audit history, and consistent enforcement across products and jurisdictions Deliver simple, self-service experiences for consent and communication preferences, Right to be Forgotten (RTF), Right to Information (RTI), and Data Subject Access Requests (DSARs) Turn emerging privacy and regulatory requirements into standardized platform capabilities instead of one-off product implementations Lead the migration from fragmented legacy consent systems to a single source of truth across DoorDash, Wolt, and Deliveroo, while managing compatibility and safe deprecation Define clear contracts with data-governance fulfillment systems and downstream product and storage teams so privacy actions are traceable, retryable, auditable, and correctly reflected back to users and operators Provide architectural guidance for distributed systems that manage sensitive user choices, policy evaluation, orchestration, secure data delivery, reporting, and immutable audit trails Partner with recruiting to build a diverse and inclusive team, attracting and retaining exceptional engineering talent We’re excited about you because you have… A bachelor’s, master’s, or doctoral degree in Computer Science or a related field, or equivalent practical experience 3+ years of experience in people management leading backend or platform teams 8+ years of industry experience Extensive experience as an engineer or engineering leader in a fast-paced, platform-focused development environment Proven experience designing large-scale distributed systems, service application programming interfaces (APIs), policy or rules engines, workflow orchestration, state machines, data-lifecycle systems, or audit architectures Preferred experience with privacy, consent, data governance, or regulatory systems, including concepts such as the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), California Privacy Rights Act (CPRA), data-subject rights, retention, deletion, and legal holds The ability to translate ambiguous legal, policy, and product requirements into clear platform boundaries, reusable abstractions, and executable roadmaps Strong product sense and the ability to partner effectively with Legal, Product, Design, Security, Data, Marketing, Support, and engineering teams across multiple brands and geographies A growth mindset—you are eager to expand your skills, raise the quality bar, and build enduring systems in a rapidly changing environment Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Own product design and frontend implementation for meaningful parts of the journey from discovering a model to making a first successful request and operating AI in production. Design and build production experiences across the website, dashboard, CLI, and APIs, choosing the right medium for each problem.

Location: Hyderabad, India 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. Why Deliveroo? We're building the definitive online food company, transforming the way the world eats by making hyper-local food more convenient and accessible. We obsess about building the future of food, whilst using our network as a force for good. We're at the forefront of a industry, powered by our market-leading technology and unrivalled network to bring incredible convenience and selection to our customers. Working at Deliveroo is the perfect environment to build a definitive career, motivated by impact. Firstly, the impact that working here will have on your development, allowing you to grow faster than you might elsewhere; secondly, the impact that you can have on Deliveroo, leaving your mark as we scale; and finally, being part of something bigger, through the impact that we make together in our marketplace and communities. The Role Working as part of our analytics engineering team and reporting to one of our Analytics Engineering Managers, your role will be to provide clean, tested, well-documented and well-modelled data sets, that will enable and empower data scientists and business users alike, via tools like Snowflake and/or Looker. You'll work with product engineering teams to ensure modelling of source data meets downstream requirements. You will maintain and develop SQL data transformation scripts, and advise and review data scientists on data modelling to achieve denormalised and aggregated output datasets. You'll work with data scientists and other analytics engineers to surface clean, intuitive datasets in our BI tool, Looker. You will be responsible for optimisation and further adoption of Looker as a data product in the business, catering to ~1500 current active users who need to discover and interact with data. Skillset Required Excellent SQL skills Understanding of data warehousing, data modelling concepts and structuring new data tables Knowledge of cloud-based MPP data warehousing (e.g. Snowflake, BigQuery, Redshift) Nice to have 2+ years experience developing in a BI tool (Looker or similar) Good practical understanding of version control SQL ETL/ELT knowledge, experience with DAGs to manage script dependencies Python coding skills, particularly in automation & integrations Knowledge of the Looker API Workplace & Diversity At Deliveroo we know that people are the heart of the business and we prioritise their welfare. We offer multiple great benefits in areas including health, family, finance, community, convenience, growth and relocation. We believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest growing start-ups around. #LI-Hybrid 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 .

-Проверка микрофронтов и корректности работы ролевых моделей (разные права доступа у пользователей). -Тестирование интерфейсов (UI/UX) на соответствие требованиям.