Вакансии

Location: Москва Мы создаем AI-продукты, которые трансформируют работу маркетинга: от анализа исследований и клиентских инсайтов до интеллектуального копайлота, помогающего маркетологам работать с данными, документами, контентом и креативами. Если вам интересно не просто подключать LLM по API, а понимать, как устроены современные AI-системы, проектировать их архитектуру и превращать возможности моделей в работающие продукты, — присоединяйтесь к нашей команде. Обязанности * разрабатывать AI-сервисы: от прототипа и выбора подхода до интеграции в существующий технологический ландшафт * проектировать взаимодействие LLM с инструментами, данными, API и другими сервисами * развивать AI-копайлота для маркетинга: работу с документами и презентациями, генерацию контента, поиск и анализ информации * исследовать новые LLM, существующие фреймворки и инструменты и определять, где они могут дать практический эффект в продукте * проектировать подходы к оценке качества AI-систем, проводить эксперименты и улучшать решения на основе результатов * участвовать в проектировании архитектуры AI-продуктов и агентных систем на базе современных LLM. Требования * высшее образование * опыт разработки на Python и опыт промышленной разработки AI/ML-систем от 3х лет * глубокое понимание того, как устроены современные LLM-системы: inference, context management, tool/function calling, structured output, caching, embeddings, RAG и agentic workflows * хорошее понимание system design: архитектуры современных приложений и сервисов, интеграционных паттернов, API, очередей, хранилищ, кэширования и подходов к построению систем * практический опыт создания продуктов и сервисов на базе LLM * опыт интеграции LLM в существующие системы и работы с внешними и внутренними API * опыт работы с векторным поиском и базами данных (Elastic, Chroma, Weaviate или аналоги) * навыки работы с LLM serving engines (vLLM, ollama, sglang) * понимание подходов к evaluation LLM-систем и способность превращать субъективное «работает хорошо» в измеримые критерии качества * особенно важно продуктовое мышление: способность работать с разного уровня проработки требованиями, самостоятельно прорабатывать детали решения, предлагать варианты реализации, быстро проверять гипотезы и вместе с владельцем продукта находить объективные критерии качества AI-продукта Будет плюсом: * опыт создания AI-ассистентов, копайлотов или агентных систем для B2B/enterprise-сценариев * опыт работы с LangGraph, LangChain, LlamaFactory, Unsloth или аналогичными инструментами * понимание маркетинговых процессов и задач маркетинга * публикации, open-source или собственные AI-проекты. Условия * гибридный формат работу, офис на Кутузовском д.32 * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Software Engineer to join our Control Team in London. You will own how we measure control quality - per robot and across the fleet. Today, judging whether a change made the robot better is still too often an engineer's opinion after a few runs. You will replace that with numbers: reproducible, automated, trusted numbers that say whether a release is better than the last one, whether one robot behaves like another, and whether a fleet is ready for a pilot. This is a software engineering role, not a control design role. You do not need to derive a whole-body controller. You do need real robotics experience, strong engineering discipline, and genuine interest in the physics of what you are measuring - the control engineers bring the theory and will rely on you to tell them the truth about their code. WHAT YOU'LL DO Control Quality Metrics - Turn qualitative concerns about control quality - smoothness, latency, tracking error, accuracy, and the like - into precise, computable metrics, and build the pipelines that compute them consistently from recorded robot data, simulation runs and live telemetry. - Own metric definitions and versioning so a number measured today is comparable with the same number measured six months from now. Evaluation & Test Infrastructure - Develop automated test harnesses that evaluate control releases deterministically - reproducible, run-to-run comparable, free of the hidden state that makes hardware testing unreliable. - Wire control evaluation into CI across simulation and hardware-in-the-loop, with pass/fail thresholds so regressions are caught automatically rather than discovered on a customer site. - Build the tooling that lets engineers compare controller variants and releases side by side. Fleet-Level Control Quality - Build the per-robot and per-fleet test suites that establish whether each robot meets the expected control performance bar - runnable by other teams without controls support. - Track control quality over time and across units - drift, per-robot variation, degradation - and own the path from robot to metric, including the dashboards that make control health legible. WHAT WE'RE LOOKING FOR - Robotics experience on real systems - you understand robot data, timing and synchronisation, and the many ways hardware experiments go wrong. - Strong Python, plus enough modern C++ to work confidently inside a real-time control codebase and instrument it. - Built test automation, evaluation frameworks or benchmarking infrastructure for complex systems - and got other engineers to actually use them. - Solid measurement and data analysis judgement: sampling, noise, statistical significance, and knowing when a difference between two runs is real. - Experience with robot middleware and data formats (ROS/ROS2, message recording and replay, time sync), CI/CD pipelines and Git-based workflows. Nice to have: - Familiarity with robot kinematics and dynamics, or prior exposure to control systems — enough to hold an informed conversation about what you are measuring. - Hardware-in-the-loop test rigs and physical regression testing. - Physics simulation environments (MuJoCo, Isaac Sim/Isaac Lab) and sim-to-real validation. - Operating or supporting a fleet of robots or other distributed physical devices. - Data engineering: pipeline orchestration, time-series databases, large-scale log processing. - Release management or quality gates for safety-relevant software. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Задачи: - Деплой с использованием агентов (Ansible). - Подготовка окружений для развертывания, их поддержка и обновление. - Поддержание репозиториев в актуальном состоянии (приём merge requests, решение конфликтов). - Чтение логов и поиск корневых причин инцидентов. - Работа с TSDB (Time Series Databases). - Настройка и поддержка существующих CI/CD процессов проекта. - Пакетирование компонентов и их зависимостей. - Сопровождение и настройка окружений как в облаке, так и на физическом оборудовании. Требования: - Уверенное знание Ansible и Bash. - Понимание принципов сетей. - Глубокие знания по администрированию ОС Linux. - Навыки работы с системой контроля версий Git. - Опыт работы с CI/CD системами: GitLab CI, GitHub Actions. - Опыт администрирования и настройки кластеров баз данных, резервного копирования и мониторинга. Будет плюсом: - Опыт внедрения процессов Infrastructure as Code. - Знание Python. - Опыт в области Disaster Recovery. - Понимание принципов L5/L7 балансировки. Условия: - Компенсация обучения и спорта. - Медстраховка.

Location: Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity Singapore based, we are looking for an experienced Senior Product Manager – AI Risk Strategy to lead the evolution of OKX Buy/Sell Crypto risk control capabilities. You will own the end-to-end risk strategy across transaction risk, fraud prevention, review operations and AI-powered decision making. At OKX, you will have the opportunity to build next-generation AI-native risk systems that protect millions of users worldwide. You will play a key role in redefining how AI Agents, Large Language Models and intelligent decision engines transform fraud prevention and operational efficiency across one of the world's leading crypto platforms. This role is highly data-driven and requires strong ownership. You will independently analyze risk data, identify fraud patterns, design and optimize risk strategies, and drive the transformation from traditional manual review to AI Agent-powered intelligent review. You will work closely with Engineering and Risk Operations teams to build scalable, intelligent and efficient risk systems. What You’ll Be Doing Own the end-to-end risk strategy for Buy/Sell Crypto products, including transaction risk control, fraud prevention, review workflows and decision engines. Design and continuously optimize the risk control architecture, including rule engines, policy engines, model orchestration and review systems. Independently analyze large-scale transaction and risk data to identify fraud patterns, emerging attack vectors and strategy optimization opportunities. Design, implement and iterate risk policies based on data-driven insights to improve fraud detection while minimizing user friction. Define and optimize model policies, decision thresholds, confidence scores and human-in-the-loop review mechanisms. Conduct root cause analysis, monitor risk performance and perform A/B testing to continuously improve strategy effectiveness. Lead the transformation of manual review into AI Agent-powered intelligent review by designing LLM-driven workflows, reviewing policies and operational processes. Drive continuous optimization of AI Agents through prompt engineering, policy iteration, feedback loops and model evaluation. Improve operational efficiency by increasing automation, optimizing resource utilization and reducing manual review costs. Partner closely with Engineering teams to deliver scalable, reliable and intelligent risk systems. What We Look For In You Bachelor's degree or above in Computer Science, Artificial Intelligence, Engineering, Mathematics or a related discipline. 5+ years of experience in Risk Strategy, Fraud Detection, Risk Product Management, Trust & Safety or related fields. Strong experience designing transaction risk strategies, fraud detection systems or review platforms. Proven ability to independently analyze large datasets, identify risk patterns and translate insights into effective risk strategies. Strong SQL skills and hands-on experience with data analysis. Experience with Python, Spark or other analytical tools is a strong plus. Experience designing and optimizing rule engines, policy engines, risk scoring or decision engines. Strong understanding of fraud prevention, transaction risk, payment risk, account security or related risk domains. Experience designing model policies, evaluation metrics and strategy iterations for machine learning or AI-based systems. Hands-on experience with Large Language Models (LLMs), including prompt engineering, policy design, model evaluation and production iteration. Experience designing or implementing AI Agent workflows, AI-assisted review systems or intelligent operational processes. Strong analytical thinking with the ability to perform root cause analysis and make data-driven decisions. Excellent problem-solving skills with a high level of ownership and execution. Fluent in both English and Mandarin to support cross-functional collaboration in a global environment. Nice to Haves Experience in cryptocurrency, fintech, payments, banking or internet risk control. Experience building AI-native products or AI-powered operational systems. Familiarity with Retrieval-Augmented Generation (RAG), agent orchestration, tool calling and model evaluation frameworks. Experience with A/B testing, strategy experimentation and online/offline model evaluation. Knowledge of AML, KYC, payment fraud, account takeover, scam prevention or identity risk. Experience working with AI coding assistants or automation tools to improve product development efficiency. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-ONSITE #LI-WWW Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: London, UK; San Francisco, CA 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 Our mission on the Connectivity team is to make Claude the most connected AI. As agents take on more real-world work, we're taking a leading role in defining how they get access to external systems — safely, with the right permissions, and in ways enterprises can trust. We ship standards and services used by claude.ai, Claude Code, Cowork, and the API. We own the MCP proxy that routes every tool call and the OAuth and token management that keeps connections authenticated. We're also core contributors to the MCP spec — now an open standard under the Linux Foundation — and maintain the official Python and TypeScript SDKs. We're looking for experienced software engineers to join Connectivity. The team spans San Francisco and London, and you'll work closely with partner teams across Anthropic to deliver impact across all of our products. You'll work on problems where reliability and enterprise trust are critical. This means OAuth at scale, admin controls that let IT govern what agents can do, and proxy infrastructure that is reliable by default. What you'll do You'll design, build, and operate the core connectivity infrastructure behind external tool calls — the MCP proxy and the OAuth and token management systems that keep connections authenticated. You'll own reliability for infrastructure that other teams and external partners depend on, including SLOs, on-call, incident response, and postmortems. You'll build the admin controls and permission models that let enterprise IT govern what agents can do, and contribute to the MCP standard and its ecosystem, including the spec and the official Python and TypeScript SDKs. You'll turn ambiguous outcomes into shipped, scoped work, dogfooding what you build in the products that consume it. You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day. You might be a good fit if you: Experience as a backend or platform engineer Familiarity with using AI tools as part of the software development process Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to use Take full ownership of your work — from design through build, deployment, and operations, to iterating on and improving your product Can navigate ambiguity and make sound technical decisions independently, and have ideally operated in both 0 → 1 and more mature team or company settings Experience operating production distributed systems, with an understanding of what reliability, observability, and incident response require at scale Excellent communication skills, with the ability to build consensus across teams and time zones Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. 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: $405,000 — $485,000 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.

Location: San Francisco, CA | New York City, NY | Seattle, WA 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 We build and run the secure execution environment behind Claude's agentic capabilities. When Claude writes and runs code, browses the web, or uses a computer, that happens on infrastructure our team owns. We work at the intersection of systems engineering and security. The goal is to make untrusted code execution safe, fast, and reliable enough that product teams don't have to think about it. This is the layer between the model and the outside world, and it has to hold up at scale for every Anthropic product. We're hiring engineers who have experience building for containerized workloads and have a keen eye for building products used by millions of customers. What you'll do You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day. You might be a good fit if you: Have a minimum of 8 years of practical experience as a backend or platform engineer building scalable distributed systems, ideally operating at tech lead level or equivalent distributed systems, cloud-native products, developer tools, or external developer facing products Have strong fundamentals in service-oriented architectures, networking, and systems design, ideally having owned both the technical vision and execution of a foundational platform system end to end Are proficient in Python, Go, Rust, or similar systems languages Have experience with cloud infrastructure (GCP, AWS, or Azure), container orchestration (Kubernetes), and/or multi-cloud networking Take full ownership of your work—from design through deployment and operations Can navigate ambiguity and make sound technical decisions independently, and have ideally operated in 0 to 1 and more mature team or company settings Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to us Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. 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: $405,000 — $485,000 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.

Location: United States; Mexico The Company Our client is a modern survey programming company that helps consultants and investors get deep insights faster, so they can make great decisions. Our client is designed for authoring and launching time-critical market research surveys in record speeds so that their clients can quickly build N and have results sooner. Our client's solution provides consultants and investors with access to quantitative survey insights on a daily basis. Their clients leverage their custom-built platform and survey engineering team to launch surveys, and gather insights, faster than their competition. Our client's leadership team comes from the consulting and investment worlds, bringing a strong understanding of the challenges that come with conducting primary research on short timelines. This understanding informs the continued evolution of our client's solution to this day, an understanding that their team is ready and able to run through walls to help clients accomplish their goals. Our client's team is proud to be fully remote since their founding in 2016, with survey directors placed in over 40 cities worldwide. The Role As a Survey Director, you will play a pivotal role in driving our client's survey programming projects to success. This is a dynamic role that blends individual contribution, project management, client engagement, and account management. You will be at the forefront of ensuring that clients receive the highest quality survey programming services, from initial design to final data analysis. The Responsibilities Individual Contribution : Leverage your Python programming skills to contribute directly to survey programming and data analysis tasks, ensuring accuracy and efficiency in every project. Project Management : Manage 3-5 simultaneous projects in a fast-paced environment, coordinating with external vendors to deliver respondents for surveys. Ensure timely and precise delivery of survey results, meeting or exceeding client expectations. Client Engagement : Pre-launch: Guide clients on the optimal structure for their survey projects, helping them align survey design with their research objectives. Launch: Work closely with clients during live survey creation, overseeing questionnaire development and key survey elements. Lead the quality assurance process to ensure all logic, conditionality, and programming elements are correctly implemented and functional. Analytics: Analyze survey data and provide clients with actionable insights, helping them draw meaningful conclusions from their research. Account Management : Build and maintain strong relationships with clients, providing hands-on support for urgent changes or updates as needed. Develop and maintain client accounts, ensuring satisfaction and fostering ongoing partnerships. Product Management : Identify and flag patterns, optimize processes, and localize products based on client feedback and needs. Contribute to the continuous improvement of our client’s services. Client Guidance : Offer expert advisory on survey design and content, helping clients achieve their research goals effectively and efficiently. Special Projects : Engage in special projects or other tasks as required, contributing to innovation and the continuous enhancement of our client’s offerings. Requirements Bachelor’s degree in any field, preferably in engineering, information technology, business, economics, or international relations. Master's degree would be an advantage. Understanding and/or experience with Python and/or JavaScript programming. Proven client-facing experience with a customer-centric approach, strong teamwork skills, a sense of urgency, and a commitment to going above and beyond for clients. Business acumen in private markets, including knowledge of private equity, due diligence processes, and the role of primary research in these areas. Benefits Innovation at Speed : Be a part of a company that is setting new benchmarks in survey programming, working with cutting-edge technology and high-profile clients. Global Impact : Work with some of the most prestigious consulting firms and private equity clients across the globe. Growth Opportunities : Have the chance to expand your skills, manage complex projects, and contribute to the strategic growth of the company. Collaborative Environment : Join a team that values collaboration, innovation, and client satisfaction above all. If you are a motivated, client-focused professional with a passion for delivering top-tier survey programming services, we encourage you to apply. Join our client and help them continue to redefine the industry standard.

Location: Remote, Colorado, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re looking for a talented Senior Sales Engineer to join our Enterprise, Existing Business sales team. As an Enterprise Sales Engineer, you will work closely with our sales team to understand our Enterprise customers’ complex business needs and showcase how Fivetran’s data replication solutions can help them achieve their desired business outcomes. You will be responsible for providing technical expertise, identifying technical requirements, and supporting a regimented proof-of-value process throughout the sales cycle. Technologies You’ll Use AWS, GCP, Azure, Snowflake, BigQuery, Databricks, Kafka, Grafana Linux, Windows, Python What You’ll Do Work with Enterprise customers to understand their business, their use cases, and their data replication and data transformation requirements Work cross functionally with your internal counterparts (AEs, Professional Services, BDRs, marketing, and support) to build and maintain a holistic account ownership plan Develop and deliver technical presentations to Enterprise audiences Ensure the technical win by running a tight proof-of-value process Work closely with Fivetran+dbt’s Product and Engineering teams to ensure alignment of our solutions to Enterprise customer needs Develop and maintain relationships with key Enterprise customers and partners Stay up-to-date on the latest technologies and trends in our industry Skills We’re Looking For 5+ years in one of the following areas: data replication, data practitioner, data operations, analytics, sales engineering, or related technical field Proven ability to work cross-functionally to support large enterprise customers Strong technical background covering data replication, cloud infrastructure, data replication technologies, and/or database administration Experience with modern data analytics technologies, including cloud data warehouses, transformation tooling, data catalogs, and BI tools Excellent communication and presentation skills with a keen ability to explain complex technical concepts to both technical and non-technical stakeholders Strong problem-solving and analytical skills Bonus Skills Experience with Oracle, SQL Server & SAP databases Basic python competency and advanced SQL knowledge Hands on experience with other data replication or ETL tools Experience with self-hosted software applications and supporting infrastructure Hands on networking experience both in the cloud and on-premise This position qualifies for Fivetran’s incentive plan, and it’s common for employees in this role to achieve the total on-target earnings. As part of our commitment to setting new hires up for success, all new sales team members attend a one-week, in-person Revenue Bootcamp during their second week at Fivetran. This bootcamp, held at one of our designated company locations, requires travel and is a mandatory part of the onboarding process. #LI-REMOTE #LI-MT2 OTE (On Target Earning) $208,485.63 — $260,607.19 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran + dbt is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a high-performance, experienced hands-on technical program manager(TPM) in the security domain to be part of an Engineering team. In this role, you will be responsible for leading and managing security-related initiatives across the organization. It involves collaborating with cross-functional teams to ensure the successful planning, execution, and delivery of security programs. The TPM will act as a bridge between technical teams and business stakeholders, ensuring alignment with organizational goals while mitigating security risks. The work is very diverse. Fivetran is a multi-cloud environment operating on AWS, GCP, and Azure. You will help select security tools, implement improvements within our environments, and assist in developing new processes to increase our security posture. This is a full-time position based out of our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Bash, Python, JS, BigQuery, Looker, Sigma, Azure, AWS, GCP, Terraform, Docker, Kubernetes, Github, Buildkite, SonarQube, Grafana, Prisma, Synk, Signal Sciences, AI Tools What You’ll Do This is the primary person in engineering responsible for executing the security vulnerability management program for engineering, including infrastructure, code, and dependency vulnerabilities. Collaborate with Security and Engineering teams to ensure vulnerabilities are identified, prioritized, and patched. Provide technical oversight and accountability to ensure the effective delivery of security fixes. Enhance processes by evaluating tools, recommending improvements, and driving automation for faster resolution. Usage of AI in defining the roadmap for a proactive security approach based on risk assessment/rating Running the Dependency management and image hardening programs Using AI to contribute to the remediation of code and infrastructure vulnerabilities Establish and lead a code scanning program in collaboration with infrastructure, engineering, and security teams to ensure seamless integration and sustainable security practices. Dedicate up to 20% of the time to assessing business systems to identify vulnerabilities and compliance gaps proactively. Develop a scanning and detection plan and establish policies and standards for internal data access tools to improve overall system security. Advocate for tools and solutions that support shift-left strategies, driving early integration of security and testing in the development lifecycle. Skills We’re Looking For Over 5 years of experience in technical program management with a strong focus on security engineering, vulnerability management, cloud security, and application security. Proficient in applying program management methodologies, tools, and best practices to deliver complex security initiatives. Exceptional skills in prioritization, organization, and multitasking to manage multiple programs effectively. Proven ability to work collaboratively with cross-functional teams, including product teams, SRE/QE engineers, and developers, to embed a security-first mindset into workflows and practices. Deep understanding of key security domains, including application/infrastructure security, data privacy, threat modeling, vulnerability management, and secure software development lifecycle (SDLC). Strong grasp of security concepts and principles, including network security, encryption, authentication, and authorization. Hands-on experience with SAST/DAST tools, agent-based firewalls, IDS/IPS technologies, and automation tools for security orchestration. Experience with scripting languages for automating security processes. Proficient in researching and validating vulnerabilities while proposing effective remediation or mitigation strategies. Strong familiarity with OWASP principles and best practices for securing web applications, including the OWASP Top 10 vulnerabilities and Application Security Verification Standard (ASVS) Up-to-date knowledge of market trends, emerging technologies, and best practices in cloud security Strong analytical, problem-solving, and communication skills to address security challenges, coupled with the ability to influence and collaborate effectively with engineering teams in enhancing security measures and mitigating vulnerabilities in a dynamic, fast-paced environment. #LI-HYBRID #LI-EM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $158,284 — $197,855 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Staff Backend Engineer - Mimir Query, Databases This is a remote position. We are looking for candidates in the USA time zones. What is Grafana Cloud? Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack. The Databases team owns and operates the telemetry databases that are Mimir for metrics , Loki for logs , Tempo for traces , and Pyroscope for profiles . Our databases are offered as a hosted service in Grafana Cloud, and additionally as on-premise solutions with Grafana Enterprise Metrics , Grafana Enterprise Logs , and Grafana Enterprise Traces . They are multi-tenant distributed systems implemented in Go and operating at scale on Kubernetes across all major Cloud service providers (AWS, GCP, Azure). As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. Mimir Squad The Mimir squad has 3 sub-squads, Ingest, Storage, and Query, which together maintain the Mimir OSS project , and additionally own and operate Grafana Cloud Metrics across 3 major cloud providers. Engineers on the team focus on optimizing the efficiency and resilience of processing, storing, and querying metrics at large volumes. These services operate at a large scale and performance is key to keeping the offering competitive and running smoothly. A Mimir engineer has various work streams. They are likely engaged in a larger project with another engineer, and they are also incorporating some performance and reliability improvements discovered through operating the system in production. They are also responsible for writing and reviewing PRs and design documents from other engineers in the squad, shepherding automated release rollouts, and participating in the on-call rotation for their systems. What will you be doing: Take an active role in influencing our roadmap and your own career objectives Work with your team to deliver new features, then use the results to iterate and improve. Drive projects from initial idea all the way to operations once it is in the hands of customers Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running Support other team members, participate in design discussions and collaborate with the team Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs. You have good time management skills, which you leverage to work on the right things at the right time. Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively Collaboration and communication: The smallest unit we have is a squad. You’ll be working with your teammates in a fully remote setup. Good communication and time management skills are a must. Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well Experience with leading and delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven and collaborative way Experience with developing software that runs in the Cloud or experience with systems engineering Experience with being on-call and following the DevOps model Experience writing clean, robust, and performant software that is easily maintained by others Familiarity with observability systems, know when to use metrics, logs, traces, to debug a problem. Comfortable with microservices architecture and distributed systems Experience and comfort developing with LLMs like Claude and Codex on your day to day Bonus Points For: Experience working with Kubernetes Experience working with queue systems, e.g. the Kafka protocol Been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects) Familiarity with the concept of infrastructure as code Compensation & Rewards: In the United States, the Base compensation range for this role is USD 174,986 - USD 209,983 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *Compensation ranges are country-specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Staff Backend Engineer - Mimir Query, Databases This is a remote position. We are looking for candidates in the USA time zones. What is Grafana Cloud? Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack. The Databases team owns and operates the telemetry databases that are Mimir for metrics , Loki for logs , Tempo for traces , and Pyroscope for profiles . Our databases are offered as a hosted service in Grafana Cloud, and additionally as on-premise solutions with Grafana Enterprise Metrics , Grafana Enterprise Logs , and Grafana Enterprise Traces . They are multi-tenant distributed systems implemented in Go and operating at scale on Kubernetes across all major Cloud service providers (AWS, GCP, Azure). As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. Mimir Squad The Mimir squad has 3 sub-squads, Ingest, Storage, and Query, which together maintain the Mimir OSS project , and additionally own and operate Grafana Cloud Metrics across 3 major cloud providers. Engineers on the team focus on optimizing the efficiency and resilience of processing, storing, and querying metrics at large volumes. These services operate at a large scale and performance is key to keeping the offering competitive and running smoothly. A Mimir engineer has various work streams. They are likely engaged in a larger project with another engineer, and they are also incorporating some performance and reliability improvements discovered through operating the system in production. They are also responsible for writing and reviewing PRs and design documents from other engineers in the squad, shepherding automated release rollouts, and participating in the on-call rotation for their systems. What will you be doing: Take an active role in influencing our roadmap and your own career objectives Work with your team to deliver new features, then use the results to iterate and improve. Drive projects from initial idea all the way to operations once it is in the hands of customers Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running Support other team members, participate in design discussions and collaborate with the team Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs. You have good time management skills, which you leverage to work on the right things at the right time. Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively Collaboration and communication: The smallest unit we have is a squad. You’ll be working with your teammates in a fully remote setup. Good communication and time management skills are a must. Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well Experience with leading and delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven and collaborative way Experience with developing software that runs in the Cloud or experience with systems engineering Experience with being on-call and following the DevOps model Experience writing clean, robust, and performant software that is easily maintained by others Familiarity with observability systems, know when to use metrics, logs, traces, to debug a problem. Comfortable with microservices architecture and distributed systems Experience and comfort developing with LLMs like Claude and Codex on your day to day Bonus Points For: Experience working with Kubernetes Experience working with queue systems, e.g. the Kafka protocol Been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects) Familiarity with the concept of infrastructure as code Compensation & Rewards: In Canada, the Base compensation range for this role is CAD 186,368 - CAD 223,642 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . Compensation ranges are country-specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. *Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Espoo; Berlin Workplace: Hybrid ROLE HIGHLIGHTS: - Senior/Staff Platform Observability Engineer - Location: Espoo, Finland / Berlin, Germany - Department: Platform & Release Engineering - Employment type: Permanent - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO,) WHY THIS ROLE MATTERS: As a Platform Observability Engineer, you’ll make the health of ICEYE’s systems visible, actionable, and reliable. You’ll build and evolve the observability foundation across metrics, logs, and traces, helping teams detect issues early, understand failures faster, and operate their services with confidence. Your work will go beyond dashboards and alerts. You’ll reduce operational noise, eliminate blind spots, and give product teams the tools and autonomy to run reliable services. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES - Own and continuously improve a unified, production-grade observability stack covering metrics, logs, and traces, giving every team a consistent, self-service way to understand and operate the health of their services. - Build and maintain trusted alerting by tuning alerts against clear SLOs/SLIs, reducing noise, improving ownership and ensuring real issues surface early. - Define, document, and drive adoption of instrumentation standards covering metric naming, label cardinality, structured logging, and distributed tracing with OpenTelemetry. - Enable product teams to diagnose and resolve incidents faster through well-designed dashboards, runbooks, hands-on support, and practical observability guidance. - Run the observability platform like a product, owning its roadmap, interfaces, reliability, scalability, and cost across areas such as retention, sampling, and cardinality. - Provide clear technical direction for observability across the engineering organisation, making pragmatic architectural trade-offs and helping teams adopt platform capabilities effectively. WHAT WE’RE LOOKING FOR Must haves: 1. Observability platform ownership at scale 6+ years in Platform Engineering, Observability, or infrastructure roles, with end-to-end ownership of a production observability stack (for example the LGTM stack - Loki, Grafana, Tempo, Mimir/Prometheus - or an equivalent metrics/logs/traces platform) at scale. - Instrumentation & telemetry: OpenTelemetry adoption, metric and label design, structured logging, and distributed tracing across complex, multi-team systems. - SLO/SLI & error budgets: dashboards and alerting that surface real problems early while minimizing noise and false positives. - Platform as a product: treating other engineering teams as customers, with clear interfaces and a roadmap shaped by their needs. - Alerting & reliability attitude: comfortable with on-call, driving blameless learning from incidents, and continuously tuning signal quality instead of letting alert fatigue set in. 2. Software engineering foundation - A background that includes time spent writing and shipping production software, bringing engineering instincts to building tooling and automation rather than only operating what already exists. - Proficiency in at least one backend language (for example Python or Go) for automation, tooling, and building internal observability capabilities. 3. Long-term ownership of your own decisions Demonstrated experience owning the long-term consequences of your own architectural and tooling decisions - having lived with what you built through its maintenance, upgrades, and failure modes, not just its initial rollout. 4. Communication Excellent written and verbal communication skills in English, able to explain complex system behavior clearly to both engineers and non-technical stakeholders. Nice to haves: 1. Platform & telemetry breadth - Rancher, Istio, and Kubernetes-native observability patterns (service mesh telemetry, sidecars, eBPF-based tooling). - Bridging hybrid environments across AWS and on-prem platforms such as vSphere/VxRail. - Managing cost and cardinality on large-scale telemetry pipelines (retention policies, sampling, downsampling). 2. Practices that spread beyond your own team - Defining SLO/SLI frameworks or observability standards adopted across multiple teams. - Running or contributing to incident response and blameless postmortem processes. - Mentoring engineers and raising engineering maturity through technical leadership and enablement. 3. Domain context Background in regulated, security-sensitive, or mission-critical domains. APPLICATION PROCESS - Recruiter interview - Hiring manager interview - Task Assignment + Technical interview - Stakeholder interview - Behavioural interview to assess cultural fit WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Montreal, Canada ON-SITE IN MONTREAL IS PREFERRED; REMOTE OR HYBRID IS POSSIBLE FOR THE RIGHT CANDIDATE. * OPEN TO US AND EUROPE BASED CANDIDATES * The selected candidate will contribute to the entire payload lifecycle — from architecture definition and requirement specification to integration, verification, and in-orbit validation. The role requires good understanding of both digital signal processing and RF payload architectures, especially involving Software Defined Radio (SDR) and Direct Radiating Array (DRA) systems. TASK • Define, analyze, and validate system and subsystem requirements for digital telecommunications payloads. • Develop and execute verification plans, including defining test strategies, writing test procedures, and analyzing results. • Lead or support system-level payload test campaigns, both at equipment and spacecraft level. • Interface with payload hardware and software teams to ensure correct implementation and traceability of requirements. • Participate in technical reviews and support anomaly investigation and resolution. • Work with multi-disciplinary teams including RF, digital, embedded software, FPGA, and systems engineering. • Contribute to technology evolution by identifying opportunities for design optimization and innovation. MUST HAVE • Bachelor’s degree in Electrical Engineering, Telecommunications, Aerospace Engineering, or a related field. • 5 years+ of experience in telecommunications systems, particularly in digital payloads. (experience outside of the Space industry will also be considered) • Strong expertise in requirements verification by test, including practical experience in developing and executing test plans. • Solid understanding of digital payload architectures, including SDR-based flexible processors and beamforming using DRA. • Familiarity with hardware and software tools used in payload verification, such as: Vector Network Analyzers (VNA) and Spectrum Analyzers for RF testing, Baseband signal generators, Channel Emulators, and BER testers, Python, MATLAB, or LabVIEW for test automation and data analysis, SCPI, VISA, and similar interfaces for instrument control • Good understanding of FPGA-based systems and embedded software architectures is a plus. • Must be eligible to work in Canada, capable of obtaining necessary security clearance. COMPLIMENTARY SKILLS/KNOWLEDGE • Previous experience in Space or Constellation Operations • Development and testing of new automated testing methodologies • Knowledge of requirements Management tools such as DOORS/Windchill/Jama • Demonstrated capability to efficiently work autonomously and with little to no supervision • Written and verbal communications skills in English, knowledge of French will be considered favorably

Location: Espoo Workplace: OnSite ROLE HIGHLIGHTS: - Spacecraft Analysis Team Lead - Location: Espoo, Finland - Reports to: Director of SAR Spacecraft Hardware domain - Employment type: Permanent - Workplace model: Office - Employment is subject to applicable security screening (incl. SUPO, where required) WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. WHY YOU SHOULD JOIN OUR MISSION MAKE A REAL IMPACT Contribute to developing next-generation SAR satellite constellations that address some of the planet’s most critical challenges. THRIVE IN A COLLABORATIVE ENVIRONMENT As we control almost every aspect of our technology from hardware to software, you will work with world-renowned experts in a highly collaborative environment. ADVANCE YOUR CAREER Take ownership of impactful projects, see your work launched into space within months, and benefit from tailored resources for professional development, including training, conferences, and mentorship. KEY RESPONSIBILITIES LEAD AND INSPIRE - Manage and mentor a team of multidisciplinary engineers and cross-functional experts to design, develop, and verify cutting-edge SAR spacecraft. - Mentor, coach, and develop engineering talent, fostering a culture of collaboration and innovation. DRIVE TECHNICAL EXCELLENCE - Analyze, model, and optimize the performance of integrated SAR satellite systems, both on the ground and in space. - Support launch, early operations and commissioning activities, ensuring successful deployment and operation of the spacecraft. - Perform mission analysis and develop flying rules to support system design. - Lead initiatives to enhance reliability and performance for on-orbit operations. - Support customers and program management with mission analysis, system documentation and on-orbit validation and verification. QUALIFICATION EDUCATION Bachelor’s degree or equivalent experience in Aerospace Engineering, Electrical Engineering, Physics, Mathematics, or a related field. EXPERIENCE - Relevant experience in spacecraft systems engineering or related field. - Proven track record of leading a team of 3 to 8 R&D engineers directly reporting to you. - Hands-on experience with satellite systems, RF systems, or remote sensing technologies from concept to operation. SKILLS - Strong understanding of spacecraft systems, and subsystems (e.g., power, thermal, avionics, propulsion). - Experience in systems engineering processes, requirements management, and verification methodologies. - Proficient in tools such as Python and STK. - Excellent project management, organisational, and communication skills. - Understanding SAR principles would be a plus THE MINDSET WE ARE LOOKING FOR - You thrive in a fast-paced environment where iteration and speed are key, confidently making smart trade-offs between technical risks and rapid design cycles. - You bring valuable experience from traditional space or industrial processes, but are eager to embrace modern, leaner methods. - You approach problem-solving creatively, thinking beyond conventional solutions. - You make confident decisions under pressure, often when navigating ambiguity or incomplete information. WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Georgia; Serbia; Armenia; Dubai; Kazakhstan; Uzbekistan; Belarus; Poland; Spain; Greece; Kyrgyzstan; Moldova; Montenegro; Portugal; Thailand Workplace: remote About the Team We are Quadcode, a fintech company excelling in financial brokerage activities and delivering advanced financial products to our global clientele. Our flagship product, an internal trading platform, is offered as a Software-as-a-Service (SaaS) solution to other brokers. Quadcode.ai is an autonomous native AI studio and multi-agent workspace for software development and design. We are building a desktop AI IDE that combines specialized AI agents with a rich visual development environment. The product brings together code, visual editors, Live Interfaces, repository-wide RAG, and built-in multimedia capabilities for UI/UX, 3D, video, and audio. Quadcode.ai can also orchestrate Claude Code and Codex CLI sessions through MCP, allowing different AI agents and development workflows to work together within a single desktop application. The interface is a core part of the product. We are building a complex, highly interactive, and visually rich application with multiple views, editors, panels, dynamic states, real-time updates, animations, graphics, and dynamically generated interfaces. Some parts of the UI are generated dynamically and currently involve JavaScript, while the core application is built with Python, PySide6, C++. We are looking for a Desktop UI Developer who enjoys building sophisticated applications and is comfortable working across different technologies to create complex, polished, and highly interactive interfaces. Tasks Develop and evolve the UI of the AI IDE. Build complex, interactive UI components, screens, and workflows. Turn product and design concepts into polished, production-ready interfaces. Work with dynamically generated interfaces and integrate UI components implemented with different technologies. Develop custom UI components, interactions, animations, graphics, and visual elements. Work with dynamic data, asynchronous operations, real-time updates, and complex application states. Keep complex interfaces responsive, performant, and maintainable. Contribute to UI architecture and technical decisions. Own UI features end-to-end — from implementation and interaction logic to integration, performance, and final visual polish. Collaborate closely with backend engineers, AI engineers, and product/design specialists to integrate the interface with the underlying systems. Requirements 3+ years of professional experience developing complex, interactive UI for desktop or other applications, not just websites or simple web interfaces. Strong programming skills in Python and/or C++. Experience with JavaScript. Strong understanding of UI architecture, component design, application state management, and interaction patterns. Experience creating custom UI components, non-standard interactions, animations, graphics, and visual elements. Experience with asynchronous programming, multithreading, and performance optimization in applications. Understanding of UI responsiveness and performance. Strong attention to visual details, usability, and interaction quality. Ability to work with rapidly changing requirements and learn new technologies when needed. Passion for modern AI technologies and interest in AI-powered development tools. English — minimum B1; fluent Russian. Portfolio or examples of complex interfaces you have developed. Nice to have Experience with Qt / PySide / PyQt. Experience with QML / Qt Quick. Experience with advanced animations and interactive visual elements. Experience with 2D/3D graphics, rendering, visualization, or multimedia. Experience integrating design systems or Figma designs into production applications. Experience with developer tools, IDEs, editors, creative tools, or AI/LLM-powered applications. We offer Full-time remote work (service provider contract). Competitive compensation (EUR, USD). Flexible working hours. The opportunity to show creativity, generate ideas, and directly influence the architecture of the AI product. Access to cutting-edge AI tools and platforms. A team of professionals specializing in AI. Positive and friendly atmosphere. Show us what you have built When applying, please provide examples of complex interfaces you have developed. This can include links, screenshots, images, or short video demos of interfaces you have built, as well as relevant GitHub/GitLab projects or published applications. With a team of 500+ creative and tech-driven people across the globe, Quadcode is the place where ideas turn into impact, where every project is a chance to grow, innovate, and make your mark. Join us today, and let's shape the future of fintech together! Note: All applications will be treated with strict confidence. We thank all applicants for their interest, however, only those candidates selected for interviews will be contacted. #LI-JM1

Обязанности: • Разработка программного обеспечения микроконтроллеров; • Взаимодействие с разработчиком схемотехники изделий; • Участие в разработке программ и методик изделий в части программного обеспечения микроконтроллеров; • Участие в наладке программного обеспечения микроконтроллеров; • Участие в разработке программной документации совместно с техническим писателем. Требования: • Профильное высшее техническое образование; • Продвинутое знание языка С, понимание семантики, умение применять паттерны проектирования; • Базовое владение C++ и любым языком для создания десктопных приложений (Python, C#, Java); • Опыт работы с микроконтроллерами семейства STM32 (ARM Cortex-M), умение настраивать основную периферию, умение работать с отладочными интерфейсами; • Опыт настройки и отладки основных интерфейсов: UART, SPI, I2C, CAN, понимание физических уровней RS485, RS232, MII; • Разработка сетевых приложений, знание стека TCP/IP, работа с протоколами транспортного уровня (TCP, UDP); • Умение работать с RTOS (FreeRTOS); • Опыт разработки документации на программное обеспечение; • Базовое знание схемотехники, умение анализа принципиальных схем; • Умение работать с системами контроля версий (Git); • Опыт работы с протоколом Modbus RTU (TCP). Условия: • Официальное трудоустройство с первого рабочего дня по ТК РФ; • Место работы: г. Москва, МФК «Поклонка Плейс»; • Стабильная и своевременная выплата заработной платы 2 раза в месяц; • График работы: 5/2, с 09:00 до 18:00, выходной: суббота, воскресенье; • ДМС + стоматология с первого дня работы.

Location: Helsinki; Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile gaming industry. The Voodoo Ad-Network is an autonomous product group of around 60 highly driven professionals with an ambitious mission: building top-tier ad network services. Our primary goal is to leverage Voodoo's massive first-party data ecosystem to optimize and scale monetization. We are in a rapid growth phase, expanding into new ventures such as opening to external inventory, penetrating the external advertiser market, and driving social network monetization following our recent acquisition of BeReal. To support this incredible trajectory and promising early results, we are scaling our team. The Models team is a core element of the targeting performance. It leverages machine learning and a strong business understanding to directly impact the product's financial performance. It's composed of mostly senior Data Analysts, Analytics Engineers, Data Engineers and Data Scientists/ML Engineers that iterate together on finding and building the next performing iteration. This role can be either Paris or Helsinki based and done in a hybrid setup. ROLE We're looking for a Senior ML Engineer to join our Models team. You will be joining a dedicated squad of Data Engineers, Data Scientists, and ML Engineers focused on building and maintaining the ML training infrastructure that powers our ad-targeting models from data preprocessing through model deployment to production monitoring. In this role, you will be leading the following topics: - Architectural Ownership: Take end-to-end ownership of highly visible projects from ideation to production release. This includes feature scoping, timeline estimation, architecture design, and benchmarking new technologies. - Pipeline Engineering: Build and maintain quality data and ML pipelines to align with ever-evolving business and machine learning needs. Optimize training pipelines for performance, memory efficiency, and cost (e.g. spot instance strategies, efficient data loading, preprocessed artifact reuse). - Data Scientists Enablement: Enable Data Scientists to iterate faster by providing reusable, well-tested pipeline components (transformers, dataloaders, training utilities) and reviewing their contributions to shared code. Extend dataset capabilities: integrating new data sources, scaling feature windows, and increasing training data volumes without breaking pipeline constraints. - Deep Learning Development: Contribute to deep learning development: GPU workload orchestration, custom PyTorch training loops, and model architecture support. - ML Lifecycle & Reproducibility: Maintain reproducibility and consistency across the ML lifecycle: versioned configs, experiment tracking, and online-offline consistency tooling. - Scalability & Reliability: Collaborate with infrastructure teams on scalability — node pools, resource monitoring, CI/CD migrations. Participate in weekly rotation to triage and resolve alerts from Airflow, dbt, and related systems. - Agile Collaboration: Thrive in a fast-paced agile environment with rapid decision-making processes. You will collaborate daily with back-end developers, data scientists, infrastructure engineers, and product managers. - Mentorship & Team Culture: You will actively contribute to our engineering culture, share knowledge, and ensure every team member feels comfortable, supported, and empowered to grow in their role. PROFILE We are looking for a Senior ML Engineer who deeply understands both the ML training lifecycle and the specific challenges of putting machine learning models into production at scale. - 5+ years minimum of experience as an ML Engineer or a similar role - End-to-End ML Ownership: Problem framing, baselines, experimentation, deployment, and iteration - Python Proficiency: Extensive knowledge for ML pipeline code: preprocessing, training/evaluation workflows, experiment utilities, and reproducible configs - Training Mechanics: Comfortable implementing training mechanics where needed (custom steps/metrics, dataloading patterns, performance-conscious preprocessing), not only notebook-level prototyping - ML Frameworks: Practical experience training and evaluating models with scikit-learn, LightGBM, PyTorch for deep learning - Performance Optimization: Experience optimizing memory usage during data preprocessing and model training - Experiment Management: Hyperparameter tuning, experiment tracking, and reproducible training (configs, seeds, versioning) - Cloud & Infrastructure: Experience with Amazon Web Services. Familiarity with scalability, reliability, and security topics - ML Production Awareness: Understanding of the challenges involved in running ML models in production (familiar with topics such as feature store, training-serving skew, etc.) - Model Serving: Experience with model serving infrastructure (real-time or batch inference, latency/throughput optimization) is a plus - Excellent communication skills in English OUR STACK Python · Scikit-learn · LightGBM · PyTorch · DBT · Spark · MLflow · Prometheus · Terraform · Airflow · Kubernetes · Amazon Web Services BENEFITS - Excellent benefits that will depend on the country you're based in

Location: Москва Vs — R&D команда проекта GigaLegal в СБЕР, создающая решения в правовой сфере на основе LLM для автоматизации юридических процессов. Наша цель — трансформировать работу юристов, бизнеса и госструктур через: * автоматизацию анализа договоров и юридических документов * интеллектуальную генерацию правовых текстов * разработку специализированных юридических чат-ботов * создание автономных юридических ИИ-агентов. Обязанности * разработка и развитие LLM-проектов в юридическом домене — от прототипов до продакшена * проектирование и обучение агентов-экспертов, решающих задачи правового домена (RAG-пайплайны, классификация запросов, генерация ответов, оценка релевантности) * исследование и настройка multi-agent orchestration (LangGraph, LangChain, schema guided reasoning pipelines) * работа с GigaChat как основной моделью, а также эксперименты с ChatGPT, Gemini, Qwen * дообучение малых моделей (instruction-tuning, adapters, LoRA) для повышения качества юридического рассуждения * разработка метрик качества * взаимодействие с инженерами и аналитиками права — внедрение моделей в реальные кейсы (алиментные, потребительские, трудовые и т.д.). Требования * опыт работы DS/ML-инженером от 3х лет * понимание архитектуры LLM и принципов prompt engineering * опыт построения RAG-систем, fine-tuning и дообучения моделей * умение проектировать пайплайны inference / retraining. Будет плюсом:  * опыт в LegalTech или смежных областях (финансы, документооборот, чат-боты). * понимание структуры и логики российских нормативных актов * опыт интеграции LLM с внешними API или базами знаний. Наш стек: Python 3.10+, FastAPI, LangChain / LangGraph, OpenSearch, Redis, Kafka. Условия * формат работы офис на испытательном сроке, локация офиса ул Вавилова д.19 * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.