Вакансии

Задачи: — тестировать функционал бэкенда и UI в проекте по развитию масштабной аналитической системы финансового моделирования и анализа по крупным корпоративным клиентам Банка на базе .NET, Postgre с использованием ML-технологий — при желании научиться разработке новых и поддержке существующих автотестов (Web UI, API, DB) на языке Python Требования: — знание теории тестирования, техник тест-дизайна и умение применять их на практике — знание и опыт ведения тестовой документации (тест-кейсы, тест-планы) — понимание архитектуры web-приложений — навык написания SQL запросов средней сложности (join, подзапросы, группировки и др.) — опыт оценки покрытия тестами функциональностей системы — умение доставать и читать логи — опыт тестирования систем, построенных на событийной модели (Kafka) Будет плюсом: — опыт работы с AI-инструментами (знакомство с spec-driven development) — знание Python — опыт разработки тестов с применением pytest (как бэкенд (API), так и фронтенд (UI)) — понимание принципов интеграции автотестов в CI/CD (Jenkins или аналоги) — умение составлять и настраивать заглушки/моки Для реализации задач понадобится владение: — навыками работы с баг-трекинговыми системами — опытом работы с Git, понимание git-flow — навыками работы с системами BitBucket, Confluence — знакомство с AllureTestOps — опытом работы с ELK/PVS/Grafana — навыками работы с DevTools, Insomnia (Postman), DBeaver Условия: — комфортный современный офис рядом с м. Кутузовская — формат работы гибридный (3 дня в офисе, 2 дня удаленно) — оформление на декретную ставку — ежегодный пересмотр зарплаты и годовая премия — корпоративный спортзал и зоны отдыха — более 400 образовательных программ СберУниверситета для профессионального и карьерного развития — программа адаптации и помощь руководителя на старте — расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа — гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ — подписка Прайм с возможностью совместного использования на трёх близких — вознаграждение за рекомендацию друзей в команду Сбера.

Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Team The Infrastructure team builds and maintains the systems that power LangChain’s developer platform, including LangGraph Cloud and LangSmith. The team focuses on reliability, scalability, and developer productivity across the stack, working closely with backend, frontend, and platform engineers to ensure services are deployed, tested, and operated with confidence. About the Role We’re hiring a Software Engineer to join the Infrastructure team and own developer productivity across our LangGraph Cloud/Platform and LangSmith products. You’ll work closely with Infrastructure, Backend, and Frontend teams to ship with confidence across Kubernetes-based services, APIs, and UI flows. You’ll also help pioneer quality practices specific to LLM applications, such as prompt regression testing and evaluation suites. Location: In person 5 days/week in San Francisco, CA or New York, NY What You'll Do - Own test strategy end-to-end across APIs, services, UI, data, and infrastructure (Kubernetes, Terraform, Helm) - Stand up ephemeral test environments in Kubernetes for pull requests and release candidates; seed test data and run hermetic test suites - Shift quality earlier in CI/CD pipelines (GitHub Actions) through parallelization, caching, deterministic seeds, flake tracking, and quality gates - Build observability into testing workflows with rich failure artifacts such as logs, traces, and dashboards - Establish performance and reliability baselines for critical paths, including SLIs, SLOs, and regression detection - Partner on incident workflows by reproducing issues, adding targeted regression tests, and improving runbooks and postmortems - Write documentation including test plans, playbooks, and contributor guidelines for writing high-quality tests Example projects you might own - A pull-request ephemeral end-to-end testing harness that deploys a minimal LangSmith stack in CI and runs Playwright and API suites against seeded tenants - A k6 performance scenario that simulates multi-tenant traffic and surfaces p95/p99 latency regressions per release - A flake-budget system that automatically quarantines flaky tests, opens issues with artifacts, and tracks time-to-deflake What You'll Bring - 3+ years of experience as a software engineer or infrastructure engineer - Strong hands-on experience with Python and testing frameworks such as pytest - Experience working with CI/CD systems (GitHub Actions preferred) and improving pipeline performance and reliability - Solid understanding of API testing, mocking/stubbing, and data setup/teardown - Comfort defining quality standards, writing test plans, and driving cross-team execution Nice to Have - Experience with load and performance testing tools such as k6 - Familiarity with observability tooling such as Datadog or OpenTelemetry - Experience testing services running on Kubernetes and containerized environments - Basic infrastructure experience with Helm, Terraform, Kubernetes networking, or secrets management - SQL fluency for validating data (Postgres, ClickHouse, BigQuery) - Familiarity with Go, Node, or React for targeted white-box tests and improving system testability Compensation - Annual salary range: $165,000- $250,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: San Francisco; New York City Perplexity Computer is one of the defining products of the new era of agentic AI. Millions of people use Perplexity to transform knowledge into action, and the Agent Capabilities team sits at the intersection of frontier AI research and product innovation, building the foundations that shape how users and agents solve increasingly complex tasks. As every major breakthrough in AI models creates new possibilities, the Agent Capabilities team is responsible for turning frontier AI breakthroughs into reusable product capabilities. We are often the first to evaluate emerging model capabilities, determine where they create real user value, and transform them into reliable, scalable, high quality experiences for both users and agents. This is a highly leveraged role with broad ownership at the intersection of frontier AI research, agent systems, platform engineering, and product innovation. Tech Stack: Python | Go | Rust | PostgreSQL | DynamoDB | AWS | TypeScript WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Evaluate frontier models against real user tasks, identify useful behaviors and failure modes, and turn the most promising advances into production agent systems. Own the lifecycle from rapid prototyping and evaluation through launch, monitoring, and iteration. - Improve agents’ ability to plan, use tools, manage context, recover from errors, and complete long-running tasks reliably. - Apply state of the art ML and LLM techniques to design scalable agent capabilities such as skills, plugins, artifact generation, tools integrate and use, auto-research, and multi-agent collaboration. Shape the architecture, abstractions, and product experiences that enable both users and agents to compose increasingly sophisticated solutions for real-world tasks. - Own agent behavior and capabilities end-to-end, from user-facing products and interfaces to backend services. Define offline and online evaluations for task completion, correctness, safety, latency, cost, and user satisfaction. Iteratively improve across models, prompts, harnesses, and products for different problem spaces. - Build secure, observable, and reliable agent systems, including permissions and safeguards for sensitive actions. Develop tracing, replay, and monitoring infrastructure that makes agent failures reproducible and actionable. - Collaborate closely with PM, Data Science, Research, to identify high-impact opportunities in understanding and validating emerging model capabilities, and turn complex agent behaviors into simple, reliable product experiences. - Apply relevant advances in models, inference, evaluation, and agent architecture when they produce measurable improvements in production performance. Set technical direction on ambiguous problems and raise the bar through design reviews, mentorship, and technical leadership. QUALIFICATIONS - Typically 6+ years of professional software engineering experience, with a track record of building and owning robust AI-powered, large-scale, user-facing or data-intensive products. Exceptional candidates with less experience and an outstanding record of impact are encouraged to apply. - Strong software engineering fundamentals, with experience building and operating AI/ML products, backend services, or distributed systems at scale. - Experience owning the AI product lifecycle, including data analysis, rigorous evaluation, production monitoring, and iterative improvement. Able to define metrics and use production data and user feedback to guide decisions. - Practical experience in one or more relevant areas, such as agent harnesses, tool use, context engineering, model evaluation, browser automation, or long-running task execution. - Strong product judgment and execution: you can translate ambiguous user needs into applied AI or ML problems and ship durable solutions with measurable user impact. - Genuine interest in frontier AI capabilities, agent systems, and excitement for rapidly exploring, evaluating, and productizing new model behaviors. NICE TO HAVE - Experience with LLM context engineering or harness engineering, experience with subagents, coding assistants, long-running or autonomous task execution. - Deep familiarity with the strengths and limitations of current model families across reasoning, tool use, context management, and long-horizon tasks. - Experience building agent permissions, safeguards, evaluation infrastructure, or production observability systems. - Experience with mid-training, post-training, or reinforcement learning for frontier or open-source models, along with a strong understanding of model strengths and limitations across reasoning, tool use, context management, and long-horizon tasks. - AI/ML research experience demonstrated through publications, open-source contributions, or other meaningful research impact. - Time spent at a fast-growing startup or on a high-ownership engineering team.

Location: Canada, Vancouver, BC 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 Senior Control Engineer to join our Controls Team in Vancouver, focusing on SW control development and integration of robotic actuators and sensors. You will be responsible for designing, implementing, and validating joint- and actuator-level controllers that deliver high precision, responsiveness, and safety for complex robotic mechanisms. The ideal candidate has a solid background in control theory, strong software engineering skills in C++, and comfort working across the full stack from real-time embedded control up through networking, kinematics/dynamics, and browser-based debugging tooling. You will work closely with other control and hardware engineers to model, tune, and optimize the behavior of real robots and their subsystems (i.e. limbs and end-effectors).   WHAT YOU’LL DO Low-Level Control Development - Tune and validate actuator - and joint-space control loops (PID, feedforward, impedance/admittance, observers, state feedback) for multi-DoF systems in ROS2. - Work across EtherCAT/CAN and Linux networking (TCP/IP, DDS discovery, time sync) to ensure deterministic, safe real-time operation. - Implement safety and fault-handling mechanisms for dynamic conditions. Modeling, Kinematics & System Identification - Build and identify models of actuators, transmissions, and mechanisms — including parallel mechanisms like differential wrists/ankles — for control design and simulation. - Apply rigid body kinematics/dynamics and numerical IK/FK methods; work from URDF/Xacro and MJCF, interpreting mechanical drawings and geometry. Software & Systems Integration - Write real-time-safe, object-oriented C++ (lock-free structures, thread safety) for control and diagnostics. - Design and debug multi-layer control architectures. - Maintain CMake build/dependency tooling and Python test harnesses; build lightweight browser-based tools (HTML/JS/WebSocket) for hardware debugging. Sensor & Hardware Integration - Integrate and calibrate a range of sensors (F/T sensors, tactile sensors, IMUs, etc.) with real-time acquisition and processing across the control stack. - Hands-on hardware bring-up and debugging. Cross-Disciplinary Collaboration - Close the loop with mechanical/electronics engineers across sites on actuation requirements; - Support hardware bring-up, calibration, and performance testing.   WHAT WE'RE LOOKING FOR - M.S. or Ph.D. in Control Engineering, Robotics, Mechanical Engineering, or Electrical Engineering with 5+ years in robotic or mechatronic systems — equivalent practical experience counts. - Shipped real-time-safe, object-oriented C++ control software running on real hardware, in production or a serious research programme. - Tuned and validated controllers on physical actuators, including sensor calibration and bring-up — with a story about something that behaved nothing like the model and what you did about it. - Debugged at the fieldbus and OS layer: EtherCAT (PDO/SDO, timing constraints) or CAN, on an RTOS or real-time Linux. - Strong control theory foundation (linear/nonlinear control, stability, observers, state estimation, feedback/feedforward, filtering, frequency-domain analysis) applied to multi-DoF mechanisms via Jacobians, numerical IK/FK, and URDF/Xacro. PREFERRED QUALIFICATIONS - BLDC motor control (commutation, current control, torque optimization) - ros2_control internals (hardware interfaces, controllers, controller_manager, plugins, lifecycle nodes). - Parallel mechanisms specifically (differential wrist, parallel ankle), robotic hands, or other multi-DoF end-effectors. - System identification toolchains and simulation environments (MATLAB/Simulink, MuJoCo, Gazebo); MJCF. - Experience with dynamic system modeling and simulation at the actuator and transmission level. WHAT WE OFFER - Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support. - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. - Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives.

Задачи: — Архитектура новой системы данных компании с нуля. — Преобразование больших и разнородных медицинских данных в унифицированный, высокопроизводительный граф знаний. — Работа с медицинскими экспертами, продуктовыми командами и дата-сайентистами для перевода сложной клинической логики в чистые, взаимосвязанные структуры и модели данных. — Поиск креативных решений с использованием различных типов баз данных и конвейеров данных для обеспечения согласованности и совместимости медицинских данных. — Разработка и интеграция частей клинического inference engine, основанного на правилах и статистических моделях. — Проектирование и расширение клинических моделей данных с использованием доменных онтологий (например, SNOMED-CT, FHIR, UMLS) для создания богатых, запросных графовых структур. — Перевод исследовательских результатов в масштабируемое, промышленное программное обеспечение в рамках agile-команды. — Тесное сотрудничество с медицинскими экспертами для фиксации клинических рабочих процессов и валидации отображений онтологий. — Формирование технического направления, дизайна схем и лучших инженерных практик в команде. Требования: — Магистр или кандидат наук в области компьютерных наук, математики или смежных областей. — Более 4 лет опыта работы с медицинскими данными или в области data engineering либо соответствующие академические исследования. — Глубокие знания графовых баз данных, языков запросов, алгоритмов поиска и/или систем вывода (например, Neo4j, Memgraph, Cypher, SQL, Datalog). — Обширный опыт разработки на Python и/или TypeScript, комфортное переключение между языками и фреймворками. — Наличие разрешения на работу в ЕС и проживание в ЕС. — Желательно: знакомство со статистикой, формальной логикой и/или машинным обучением. — Опыт работы с электронными медицинскими картами (EHR) и форматами обмена клиническими данными (например, FHIR). — Интерес к области представления знаний и рассуждений (Knowledge Representation and Reasoning). — Опыт самостоятельного управления облачными средами (например, GCP) и CI/CD конвейерами. Условия: — Работа в одной из ведущих европейских healthtech компаний с возможностью влиять на продукт. — Возможность работать удаленно или в офисах в Вене, Будапеште и Берлине. — Выделенный бюджет на обучение и профессиональное развитие. — Культура с плоской иерархией, открытым общением и уважением к мнению каждого. — Участие в виртуальных программах опционов на акции (VSOP). — Возможность приводить в офис своих домашних животных и общаться с офисными собаками. — Гибкие условия работы и поддержка разнообразия и инклюзивности.

Location: Vienna, Austria Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE Ever wondered what it's actually like to build a career at a company millions of developers rely on? Software Engineers at Sentry write real code on real projects that ship to production. No busywork, no "prove yourself first" purgatory. Just you, a team that actually trusts you, and a codebase used by millions of developers every day, including the ones building the AI tools everyone's talking about. You'll land on either an SDK https://docs.sentry.io/?original_referrer=https%3A%2F%2Fsentry.io%2Fcareers%2F%3Fteam%3DEngineering%2B team or Ingest — and either way, you're in the critical path, not on the sidelines. SDKs are where past interns have shipped async support for our Python SDK https://blog.sentry.io/meet-sentrys-2025-summer-interns/#simon-1-16 and a faster AWS Lambda extension https://blog.sentry.io/meet-sentrys-2025-summer-interns/#martin-1-17 — real code running inside frameworks developers use every day. Ingest is the backbone: you'll get hands-on with the pipelines (including our open-source Relay https://github.com/getsentry/relay and Symbolicator https://github.com/getsentry/symbolicator) that process millions of events every minute. New grad hires are rad hires. Our onboarding is built to set you up for long-term success from day one — comprehensive training, dedicated mentorship, social events, and a built-in community of peers who started right alongside you. (There are also snacks. The good kind.) Many of our new grads started out as interns here first — read the stories https://blog.sentry.io/life-at-sentry/ from Sentaurs who liked it enough to come back full-time. IN THIS ROLE YOU WILL - Be matched with one of our SDKs https://sentry.io/platforms/, Product or Ingest teams, based on your interests and experience - Design, develop, and ship features and systems that drive real value to customers - Own projects end-to-end, from design through production - Receive ongoing feedback, coaching, and mentorship from your manager and teammates YOU'LL LOVE THIS JOB IF YOU - Want to be treated like an engineer from day one - Care about how software actually works - Are excited about where AI is taking software development and want to build in the middle of it - Want mentorship that's real, not scheduled - Like shipping things and seeing them used at scale QUALIFICATIONS - Recently completed or completing an undergraduate or graduate program in Computer Science or a related field - At least one previous internship or equivalent hands-on experience - Solid grasp of algorithms and data structures fundamentals - Comfortable using GitHub: branching, pull requests, code review, the works - Proficient in Python, JavaScript, or a similar dynamic language, picked up through internships, personal projects, or coursework - Can pick up a new language or framework quickly and run with it - Experience collaborating on an engineering project with a team (class, open source, work, it counts) - Available to start in 2027 and able to relocate to Vienna, Austria (we'll help get you there and cover housing) - Please note the following: - Visa sponsorship is considered on a case-by-case basis - This is a full-time position We are obliged by law to quote the minimum wage of EUR 43.456,-- gross per year for this position, in accordance with the respective collective agreement (IT-KV). The base salary (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is EUR €80,000.00. A successful candidate will be eligible to participate in Sentry’s employee benefit and perks programs applicable to the candidate’s position (including medical, dental and vision insurance coverage as well as temporary relocation support). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: Vienna, Austria Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE Ever wondered what it's actually like to intern at a company millions of developers rely on? Software Engineering Interns at Sentry write real code on real projects that ship to production. No fetch-the-coffee. Just you, a team that actually trusts you, and a codebase used by millions of developers every day, including the ones building the AI tools everyone's talking about. You'll land on either an SDK https://docs.sentry.io/?original_referrer=https%3A%2F%2Fsentry.io%2Fcareers%2F%3Fteam%3DEngineering%2B team or Ingest — and either way, you're in the critical path, not on the sidelines. SDKs are where past interns have shipped async support for our Python SDK https://blog.sentry.io/meet-sentrys-2025-summer-interns/#simon-1-16 and a faster AWS Lambda extension https://blog.sentry.io/meet-sentrys-2025-summer-interns/#martin-1-17 — real code running inside frameworks developers use every day. Ingest is the backbone: you'll get hands-on with the pipelines (including our open-source Relay https://github.com/getsentry/relay and Symbolicator https://github.com/getsentry/symbolicator) that process millions of events every minute. This is a 12+ week hybrid technical internship https://sentry.io/careers/internships-and-early-careers/ that treats you like a full-time Sentry engineer — not just "an intern." You'll be paired with a manager and a dedicated team mentor, get access to social events, and wrap up the program with a final presentation to the Sentry team. Don't just take our word for it — hear it from the people who lived it. Our intern blog https://blog.sentry.io/life-at-sentry/ is full of stories from past Sentaurs about the features they shipped and the teams they joined, and more than a few of them liked it enough to come back as full-time new grads.   IN THIS ROLE YOU WILL - Be matched with one of our SDKs https://sentry.io/platforms/, Product or Ingest teams, based on your interests and experience - Design, develop, and ship a programming solution that drives real values to customers - Receive meaningful feedback, coaching, and mentorship from your manager and teammates   YOU’LL LOVE THIS JOB IF YOU - Want to be treated like an engineer, not "an intern" - Care about how software actually works - Are excited about where AI is taking software development and want to build in the middle of it - Want mentorship that's real, not scheduled - Like shipping things and seeing them used   QUALIFICATIONS - Currently enrolled in an undergraduate or graduate program in Computer Science or a related field - At least one previous internship or equivalent hands-on experience - Experience collaborating on an engineering project with a team (class, open source, work, it counts) - Solid grasp of algorithms and data structures fundamentals - Proficient in Python, JavaScript, or a similar dynamic language, picked up through internships, personal projects, or coursework - Can pick up a new language or framework quickly and run with it - Comfortable using GitHub: branching, pull requests, code review, the works - Available to start summer 2027 and able to relocate to Vienna (Austria) for the duration of the internship (we'll help get you there and cover housing)   We are obliged by law to quote the minimum wage of EUR 43.456,-- gross per year for this position, in accordance with the respective collective agreement (IT-KV). The base salary (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is EUR €3,285.00 per month. A successful candidate will be eligible to participate in Sentry’s employee benefit and perks programs applicable to the candidate’s position (including medical, dental and vision insurance coverage as well as temporary relocation support). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: Anywhere in France, Belgium, Spain HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐ THE ENGINEERING TEAM ⭐ In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves! Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of interactions. We move fast, with a lot of ownership, and are proud to tackle big problems! Our process is very simple: those who make product decisions are the same ones who build them. Want to know more? Read this article https://medium.com/alan/a-new-iteration-of-our-engineering-career-path-at-alan-f46f7b229b2d on our Engineering career path. 🛠️ THE STACK Python/Flask, Typescript, React, React Native on the coding side. AWS, GCP, Kubernetes, PostgreSQL, Redis, Terraform/Terramate, Datadog, Cloudflare, GitHub Actions on the platform side, all in a monorepo. We deploy daily and believe in distributed ownership - you build it, you own it. 🤖 THE INFRA CREW - WITHIN THE TECH FOUNDATIONS AREA 🎯 Mission: - Tech Foundations - enables product crews and creates the environment to thrive, combining world-class infrastructure, intuitive developer experience, exquisite operational excellence, and built-in security to make shipping exceptional products effortless. - Infra - is one of its crews. Its mission: operate and evolve the foundations Alan runs on (multi-cloud infrastructure, data platforms, observability, and the operational practices around them) so that product crews ship safely and quickly, members never feel the platform underneath, and the business can expand to new countries without re-inventing how we run. 🔭 Scope: 1. Cloud foundations & multi-cloud architecture: own and evolve Alan’s cloud footprint, Infrastructure-as-Code stack (Terraform, Terramate), and the architectural decisions enabling international expansion. 2. Data & application platforms: operate and evolve the foundations product crews build on: PostgreSQL/Aurora, our events pipeline, async workloads, and database migration tooling, without leaking complexity into product code. 3. Reliability, observability & on-call: own Alan's platform uptime and latency SLOs end-to-end. Evolve our observability stack (Datadog), the incident response process (Incident.io http://Incident.io), and the shared on-call rotation across the area to keep it sustainable as we scale. 4. Governance & compliance enablement and FinOps: own the cross-cutting concerns no single domain holds, infrastructure cost (FinOps), IAM posture, backup and disaster recovery, exit strategy, with automation and reporting that scales beyond the crew. 5. AI-augmented infrastructure operations: make AI assistants a first-class citizen for incident investigation, runbook execution, and toil reduction, so engineers spend their time on high-leverage work. 👀 Focus for 2026: In 2026, we're growing the team significantly to step up impact across four bets: - Multi-cloud expansion: revisit our cloud strategy as we go international, and launch new geographies. - Decoupling for scale: evolve service architecture to carry Alan 2.0 from 1M members today to 10M. - Operational excellence: raise the quality bar end-to-end by overhauling observability, on-call, and cost management practices. - AI-augmented infra ops: make AI assistants a first-class part of investigation, troubleshooting, and toil reduction, so engineers spend time where leverage is highest. ⭐ IS IT YOU WE’RE LOOKING FOR? EXPERIENCE WE VALUE - 3+ years in Platform engineering, DevOps, Site reliability engineering or equivalent roles. - You have strong experience with cloud platforms (especially AWS or GCP). - You're comfortable writing code for automation and tooling (e.g. API, internal command line, developer portal) and willing to work in Python/Typescript (but you don’t need to have experience with those 2 languages!). - You have touched observability, monitoring, alerting or incident management tools and practices. - You are able to design and implement robust infrastructure systems with a focus on reliability and observability. - You can maintain our uptime targets while optimizing infrastructure costs. - You’ve built and maintained internal or external tooling (e.g. API, web interface, internal command line, configuration as code, etc) for other engineers. MINDSET WE VALUE - You treat infrastructure and platform engineering as product work: engineers & members are your customers, and infrastructure should feel effortless. - You’re hands-on: writing code is the bulk of the job (Python, TypeScript, Terraform). You ship what you write to production yourself, then operate it: rollouts, alerting, on-call, incident response. - You're an enabler: you measure your impact by how fast product crews ship features without ever consulting you. The harder you've worked, the less they have to engage you. - You build reusable patterns: guardrails, libraries, and reliable-by-default abstractions that prevent outages and runaway cost at scale. - You’re fluent in English (French is not required). For this opportunity, we are aiming to hire above C1 level range https://medium.com/alan/a-new-iteration-of-our-engineering-career-path-at-alan-f46f7b229b2d. But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus. 🌍 HOW WE WORK - Location: You must be legally eligible to work in France, Belgium, or Spain. - Remote work: We offer remote work flexibility, but we value in-person collaboration 🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work #LI-DNP

Location: Barcelona; Paris Workplace: Hybrid Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Checkout.com http://Checkout.com is looking for an enthusiastic and talented Sales Engineer to join our fast-growing team in Barcelona or Paris to support our clients with integrating our revolutionary online payments platform. This is a Senior Specialist position, and the successful candidate will be responsible for providing technical guidance to our clients, predominantly across the EEA, with a primary focus on Southern Europe, throughout the entire sales lifecycle. As a Sales Engineer, you are responsible for technical ownership of client relationships from initial contact in the sales cycle throughout the solutioning, integration, and go-live stages of the customer journey. The ability to solve business and technical requirements through the application of Checkout.com http://Checkout.com products and solutions is core to the success of the position. Along the way, you'll collaborate closely with various in-house talents across Technology and Business to position our capabilities, products, services and solutions effectively with prospects. The ideal candidate will need to be an independent, high-achieving individual, able to stand out in an entrepreneurial environment and outperform performance targets through personal drive. The role requires clear written and verbal English and Spanish, with the ability to support prospects and merchants across the EEA market, predominantly in Southern Europe. WHAT YOU WILL BE DOING: - Support the commercial team to position Checkout.com http://Checkout.com’s products, solutions, and services, and ultimately, help to win deals. You will be a key partner to Account Executives on all matters related to product, payments, regulation, and tech. - Understand merchant requirements and technical needs, map this to our APIs and products, create solution designs and internal documentation. - Run demos, build “show-me” payment flows, create POCs, customise and create presentations. - Provide thought leadership on all aspects of Payment Performance - Acceptance Rate, Fraud Prevention, Tokenisation, Payment Methods, and others. - Lead technical interactions with merchants, from chats and calls to meetings and workshops until the deal is won. - Support BID management team with RFP and RFI responses. - Enable internal functions, commercial and tech, with market and merchant feedback on product capabilities. Champion product change and improvement. - Being constantly up to date with industry standards, solutions, and tech. - Being an expert of Checkout.com http://Checkout.com’s platform and product. - Support opportunities across the EEA market, predominantly in Southern Europe. ABOUT YOU: - 1-3 years experience as a Sales Engineer / Solutions Architect / Pre-Sales Consultant / Implementation Engineer or TAM. - Experience working in a technical client-facing role. - Drives results with a strong commercial focus and proactive approach. - Clear written and verbal English and Spanish. Able to communicate to both technical (developers, product) and business (payments, finance, c-level) stakeholders. - Able to thrive in a fast-paced environment. - Ability to translate technical jargon into business speak. - Problem-solver. Able to reproduce, isolate and explain issues using logs, API responses, and tests. - Highly organised and able to prioritise shifting workloads and responsibilities effectively. - Familiar with API based integration methods, associated best practices, and related tools/frameworks (REST/JSON APIs, Postman). - Experience with at least one common front-end (pure JavaScript, React, Angular, etc) and back-end (Java, .NET, Python, Node, etc) technology. - Previous exposure to RFI/RFP. - Understanding of end-to-end payment flow. - Payments industry exposure with an understanding of the related rules and regulations and payments schemes. - Experience with 3DS, Network Tokenisation, Apple/Google Pay, Open Banking, or fraud-risk engines. NICE TO HAVE: - Familiarity with PSD2/PSD3/PSR, ISO-8583. - Additional language is a plus French/German preferred - Former engineering, developer, or product manager background. - Held prior roles in E-commerce industry. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

О нас и проекте: Разрабатываем LLM-агентную платформу, которая от имени пользователя ведет переписку в мессенджерах. Решаем нетривиальные задачи на стыке AI, автоматизации и безопасности. Задачи: — Бэкенд и API для оркестрации LLM-агентов (память диалогов, мультиязычность, профили пользователей, эскалация на оператора); — Интеграция агентов с мессенджерами: обработка квалификации, возражений, передача живому оператору; — Разработка личного кабинета для клиентов: онбординг, дашборд с метриками качества AI, портрет пользователя; — Работа с фермой устройств: автоматизация на Playwright/Android, обход поведенческого антидетекта (в т.ч. для сбора данных и тестирования); — Обеспечение безопасности: шифрование данных, работа с KMS, ведение журналов доступа к чувствительной информации. Требования: — Опыт Python в продакшене от 3 лет — уверенное владение и архитектурные решения; — Реальный коммерческий опыт с LLM-приложениями (от прототипа до прода); — React/Next.js на уровне, достаточном для самостоятельной разработки ЛК и дашборда; — Практический опыт с браузерной автоматизацией (Playwright/Puppeteer) и/или Android-фермой; — Понимание устройства антифрод-систем и способов их обхода; — Готовность работать с чувствительными данными, знание подходов к шифрованию и управлению ключами. Условия: — Полностью удаленный формат; — Гибкий график — 4 часа в день (20 часов в неделю), можно разбивать по своему усмотрению в рамках рабочего дня (по согласованию с командой); — Заработная плата — 60 000 ₽ на руки; — Уровень — Lead / Senior (высокая самостоятельность и ответственность); — Участие в развитии внутренней ИИ-экосистемы для студии с 10+ активными проектами; — Детали проекта и конкретные задачи обсуждаем на собеседовании.

Задачи: — Выстроить продуктовую аналитику: события, воронки, ключевые метрики. — Считать и визуализировать метрики по данным продукта (SQL, PostgreSQL). — Анализировать поведение пользователей в вебе, iOS и Android. — Формулировать и проверять продуктовые гипотезы, готовить выводы для команды. — Помогать в описании требований к новым фичам вместе с продуктом и разработкой. Требования: — Опыт работы продуктовым аналитиком от 1 года. — Уверенный SQL. — Понимание продуктовых метрик (retention, конверсии, воронки, когорты). — Знание статистики: проверка гипотез, значимость, доверительные интервалы. — Опыт проведения A/B-тестов: дизайн, расчёт выборки, интерпретация результатов. — Опыт построения дашбордов и отчётов. Будет плюсом: — Python (pandas) для анализа данных. — Опыт в медтехе или health-продуктах.

Задачи: — Создание, разработка и управление масштабируемой инфраструктурой AWS. — Создание и поддержка эффективных CI/CD пайплайнов для оптимизации развертывания приложений. — Мониторинг и быстрое решение проблем с приложениями и инфраструктурой. — Взаимодействие с кросс-функциональными командами для обеспечения плавной интеграции и развертывания ПО. — Обеспечение соблюдения политик безопасности и лучших отраслевых практик. — Автоматизация процессов развертывания инфраструктуры и приложений. — Обеспечение устойчивости и доступности производственных систем. Требования: — Опыт работы более 5 лет в области облачных технологий, инфраструктуры или разработки ПО. — Глубокие знания AWS сервисов: EC2, S3, RDS, CloudFront, VPC, Lambda и др. — Владение инструментами Infrastructure as Code (IaC): Ansible, Terraform, AWS CDK. — Опыт работы с контейнеризацией и оркестрацией: Docker, Kubernetes (EKS/ECS). — Знание скриптовых языков: Python, Bash, Golang. — Опыт работы с CI/CD инструментами: Gitlab, Gitlab-CI, FluxCD(v2). — Хорошее понимание сетевых принципов и протоколов. — Знание Service Mesh, в частности Istio. — Опыт работы с инструментами мониторинга: Prometheus, VictoriaMetrics, AlertManager, Grafana. — Способность работать в динамичной, быстро меняющейся среде. — Отличные аналитические, проблемно-решающие и коммуникативные навыки.

Location: Москва Команда SberAds занимается созданием предиктивных моделей и высоконагруженных сервисов для показа рекламы в интернете. Наши модели участвуют в реальных аукционах, влияя на то, какая реклама отображается пользователю. Это позволяет нам улучшать качество рекламы, повышать удовлетворённость рекламодателей и увеличивать эффективность платформы. Обязанности Чем предстоит заниматься: * создавать и совершенствовать модели для различных этапов процесса показа рекламы * выполнять полный цикл DS/ML-задач * развивать компетенции DS * выступать заказчиками удобной и быстрой платформы для работы DS/ML-инженеров. Примеры задач: * разработка эмбеддинг-моделей на основе описаний рекламных объявлений * внедрение новых признаков в модели прогнозирования конверсий * обучение моделей для предсказания ставок в аукционах * проведение экспериментов с оффлайн- и онлайн-признаками в моделях * доставка признаков до сервисов на Go (при необходимости помощь коллег). Требования Мы ждём что ты: * имеешь глубокие знания классических методов машинного обучения и глубокого обучения * обладаешь опытом применения промышленных решений RecSys * способен самостоятельно разрабатывать и сопровождать модели от постановки задачи до эксплуатации * уверенно владеешь Python и PySpark, имеешь опыт промышленной разработки кода * понимаешь принципы распределённой обработки данных * можешь принимать обоснованные решения на основе анализа данных и чётко аргументировать свои выводы * умеешь решать сложные задачи, разбивая их на подзадачи и контролируя выполнение. Будет плюсом: * наличие опыта в задачах ранжирования, поиска или рекламы * владение языком программирования Go. Условия Что мы предлагаем: * удобный современный офис в Москве (Оружейный переулок, дом 41), * возможность работать по гибридному графику * оборудованный корпоративный спортзал и зоны отдыха * доступ к более чем 400 образовательным программам СберУниверситета для личного и карьерного роста * расширенную программу добровольного медицинского страхования, льготы на страховки для членов семьи и участие в корпоративной пенсионной программе * скидку на ипотеку размером в треть ключевой ставки Центробанка России * подписка Прайм с возможностью совместного использования на трёх близких * бонус за рекомендации друзей для присоединения к команде Сбера.

Location: United Kingdom (Remote); United Kingdom (Hybrid) Workplace: Remote Most money apps talk at you. Cleo talks back ✨ We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance. The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money. We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in. Follow us on LinkedIn https://www.linkedin.com/company/cleo-ai/ for new features and the occasional roast 🔥 MEET THE TEAM Here at Cleo, we have ~200 Engineers organised into Pillars ✨ Our stack spans a Ruby on Rails monolith, a single React Native (TypeScript) app frontend, Python for machine learning services, and PostgreSQL, all hosted on AWS and shipped through Kubernetes - backend goes out multiple times a week, app releases to Google and Apple at least weekly. To thrive here, our engineers proactively use our Engineering Principles to guide daily decisions, take ownership of problems beyond their own squad to drive broader impact, and actively drive their own learning, development and growth. ABOUT THE ROLE We're hiring Senior Backend Engineers to join one of our cross-functional product squads - working closely with other engineers, designers, analysts, and product partners to build features that improve our users' financial health. We care far more about how you think than which language you've used before. Much of our product runs on Ruby today, but we deliberately hire polyglot engineers: if you've shipped meaningful product work in any modern stack, you'll ramp quickly here. Key responsibilities for this role include: - Shape the direction of upcoming work - break down ambiguous problems with your squad and help drive projects from early discovery through to shipped impact - Build and evolve the APIs, data models, and business logic behind our product; no Ruby experience required, just strong fundamentals and sound judgement on trade-offs - Contribute to testing, observability, and experimentation, and help continuously raise the bar on developer experience and product quality - Drive high-impact initiatives such as our secured credit card, budgeting and financial insight features, and subscription/pricing experiments - Mentor engineers at your level and beyond, share knowledge generously, and help build a culture where people grow quickly and have real influence WHAT WE'RE LOOKING FOR - An experienced engineer with solid fundamentals, having worked across any modern tech stack - the specific language matters less than your ability to reason clearly, learn quickly, and think in trade-offs - A track record of writing maintainable, thoughtful code and making sound technical decisions with minimal oversight - Comfortable working with Ruby, or confident you can ramp up quickly in it - deep Ruby experience isn't required - Strong collaboration skills with product, design, and data partners, with genuine curiosity about users and their problems - Experience mentoring or raising the bar for engineers around you, and contributing positively to team culture - Motivated by Cleo's mission - you care about building products that genuinely improve people's financial health - Alignment with our engineering principles https://web.meetcleo.com/blog/cleo-engineering-principles - autonomy, accountability, pragmatism, and building things that matter WHAT WE OFFER We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements. For the full breakdown on what's available in your location, visit our Candidate Hub https://meetcleo.notion.site/Cleo-Candidate-Hub-3b95c63b874580e9a068fdc6c8929ebf 👈 WHAT MATTERS Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits. We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know. We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!

Задачи: — Проектировать и запускать пакетные и потоковые конвейеры данных на Databricks и Apache Spark в AWS, включая загрузку из баз данных, API и потоков событий. — Формировать архитектуру lakehouse на S3 и Delta Lake с использованием медальонного слоя (Bronze / Silver / Gold) и оптимизацией хранения. — Работать напрямую с аналитиками, инженерами и продуктовыми командами для преобразования сырых данных в надежные и полезные бизнес-данные. — Вести проекты от согласования с заинтересованными сторонами и обзора дизайна до реализации, запуска и поддержки. — Создавать решения для самостоятельного доступа к данным для других команд, масштабируемые и расширяемые. — Строить и поддерживать масштабируемые ETL/ELT конвейеры с отказоустойчивостью и оптимизацией затрат. — Оптимизировать Spark задачи по размеру кластера, кэшированию, соединениям, шифлам, партиционированию и форматам хранения (Parquet, Delta). — Управлять рабочими процессами Databricks, заданиями, конфигурациями кластеров и инфраструктурой, включая политики безопасности и доступ. — Внедрять управление данными и контроль доступа с Unity Catalog, включая обработку персональных данных. Требования: — Практический опыт работы с Databricks и глубокое владение Apache Spark (PySpark и/или Scala). — Сильные навыки Python для обработки данных, а также SQL и Spark SQL для трансформаций и аналитики. — Опыт работы с Delta Lake и архитектурами lakehouse, включая оптимизацию производительности. — Подтвержденный опыт владения проектами, умение выявлять слабые места, собирать обратную связь и создавать масштабируемые решения. — Опыт написания чистого, тестируемого и поддерживаемого кода с использованием контроля версий на Git. — Опыт работы с инфраструктурой как кодом (Terraform или Ansible) является плюсом, но не обязателен. Условия: — Возможность создавать инновационные решения в финтехе Юго-Восточной Азии. — Опционы на акции с четырехлетним вестингом и 25% клиффом после первого года. — Гибридный формат работы с возможностью полностью удаленной работы для подходящих ролей, основные часы с 12:00 до 19:00 по манильскому времени (UTC+8). — Предоставление инструментов и оборудования компанией. — Офис в Bonifacio Global City, Манила. — Медицинская страховка с поддержкой для сотрудника и семьи. — Доступ к внутреннему специалисту по психическому здоровью. — 22 дня отпуска, государственные праздники Филиппин и 15 дней больничных. — 105 дней оплачиваемого декретного отпуска и до 14 дней оплачиваемого отпуска по уходу за ребенком для сотрудников, переезжающих в Манилу. — Поддержка при релокации для сотрудника и семьи, включая перелеты, проживание, визы, оформление документов и логистику. — Возмещение расходов на перевозку домашних животных. — Ежегодно до 2500 долларов США на перелеты домой. — Ежемесячные выплаты на детей для сотрудников, переезжающих в Манилу: 1000 долларов на ребенка до 2 лет и 500 долларов на ребенка от 2 до 18 лет. — Возможности для профессионального роста через внутренние встречи, внешние конференции, выступления и публикации. — Спонсируемые компанией поездки в Манилу для личных встреч с командой. — Регулярные командные выезды, спортивные мероприятия и события. — Возможность для высокоэффективных команд получить неделю отдыха на пляже в Юго-Восточной Азии.

Location: Spain Workplace: Remote ABOUT THE TEAM The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists. WHAT YOU WILL DO - Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform. - API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services. - Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools. - Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation. - Oncall: Participate in the daytime oncall rotation along with the rest of the team. - Developer Experience: Design and implement developer tools, SDKs, and documentation that enable users to leverage ClickHouse’s AI/ML capabilities. WHAT YOU WILL BRING ALONG - 5+ years of software engineering experience in production environments - Exposure to working directly with AI/ML technologies - Backend development experience in TypeScript or Python, with a focus on API design and service architecture - A high level of ownership and can drive features from concept to production with minimal supervision - Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders Nice to have - Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases - Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment - Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

О позиции Разработка дашбордов и аналитики на Apache Superset с элементами AI для поддержки экспертизы лекарственных средств и медицинских изделий. Обязанности • Разработка и поддержка интерактивных дашбордов в Apache Superset • Написание и оптимизация сложных SQL-запросов, создание витрин данных • Кастомизация дашбордов (Jinja, CSS, Python) • Внедрение AI/ML-решений для аналитики и прогнозирования • Взаимодействие с заказчиками, сбор требований, презентация результатов Требования • Высшее техническое / ИТ-образование • Опыт BI-разработчика от 2 лет • Опыт работы с Apache Superset от 1 года • Продвинутый SQL • Опыт работы с PostgreSQL / ClickHouse / MS SQL • Знание Python (Pandas, SQLAlchemy) • Понимание DWH и моделирования данных Будет плюсом: опыт AI/ML в аналитике, Power BI/Tableau, Airflow, работа в фарме или госсекторе. Условия • Зарплата от 500 000 тенге • Работа в офисе в Астане • Социальный пакет по ТК РК • Участие в проектах цифровизации государственной экспертизы

Location: United States As a Blockchain Engineer at Ondo, you will help design our smart contract systems - not just the contracts themselves, but how they're deployed, secured, monitored, and managed across their entire lifetime, and how they connect to the people and products that depend on them. You'll design secure, efficient, and scalable smart contract solutions across many blockchain ecosystems powering Real World Asset (RWA) tokenization. But the harder and more important part of this role is everything around the contract: keeping it secure from deploy through every day it's live, building tooling that lets non-technical teammates safely view and manage on-chain state, and creating automated systems that take manual, error-prone work off the table. You'll think about how a smart contract design decision ripples outward, to the web app, to the teams operating the system day to day, and ultimately to our end users. You'll collaborate with product, legal, compliance, web, and ops to make sure contracts are technically sound, regulatorily aligned, and genuinely operable by the teams who rely on them day to day. Throughout, you'll favor simple, elegant designs that let us move quickly and safely. This is a unique opportunity to shape the future of finance by building the systems that bring real-world assets on-chain, and by making those systems something a whole organization can build on with confidence. Responsibilities Smart Contract System Design : Contribute to the architecture of smart contract systems for Ondo's evolving product suite — covering new chain deployments, novel DeFi interoperability and bridging solutions, and DeFi protocols — with security, operability, and long-term maintainability designed in from the start. Lifecycle Security & Operations: Help ensure contract security not just at deploy but across the full lifetime of the system — including upgrade safety, administrative controls, and the operational guardrails that keep things safe as they evolve. Tooling & Automation: Build tooling and automated systems that let non-technical teammates safely view, monitor, and manage contracts without writing scripts or touching raw chain operations directly. Cross-Functional Integration: Connect smart contract design to the rest of the product — helping the web team integrate cleanly, helping operational teams monitor and manage without direct scripting, and ensuring design decisions flow sensibly through to end users. Collaborative Execution: Work closely with senior engineers and leadership on high-impact blockchain projects, contributing sound technical decisions aligned with long-term goals. Requirements Based in PT, MT, CT, or ET time zones. Excellent technical and non-technical communication skills, verbal and written. Bachelor's degree in Computer Science, Engineering, or a related technical field. 3+ years of software engineering experience. 1+ years in blockchain engineering, ideally from another DeFi protocol live on multiple chains. Strong competency with Solidity; exposure to non-EVM smart contract languages a plus — particularly Solana. Demonstrated ability to design systems , not just contracts — including tooling, automation, security across the contract lifecycle, and the integration points between contracts, applications, and operational teams. Proven results building and scaling a DeFi protocol. Python and/or TypeScript experience preferred (for building tooling and automation). Strong technical grasp and excellent judgment on task prioritization. Strong emphasis on understanding the "why" behind requirements and a commitment to defining the "minimum scope." What we offer Competitive compensation including salary, future token rights, and/or equity (according to your preferences) — we're well-funded and believe that great talent deserves great compensation. Full benefits (medical, vision, and dental) and flexible vacation policy (PTO). Small remote-first team across many countries — you'll be an early team member helping shape our vision, culture, and design practices. A+ colleagues — our team includes alumni from: Goldman Sachs, Blackrock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, McKinsey, Circle, Uniswap. Best-in-class investors — we are proud to be backed by leading crypto experts and VCs, including Pantera Capital, Founders Fund and Coinbase Ventures.