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Location: Portugal 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 #LI-Remote PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Bucharest Workplace: Hybrid The Role Our Customer Engineering team works closely with Alchemy's customers to ensure a great user experience to help them maximize the value they get from the platform. You will manage the relationship from the start to ensure a smooth on-boarding experience and set up customers for ongoing success. You will ensure prompt and effective resolution of questions, problems, and requests. You will use your first-hand knowledge of our customers to inform our product roadmap and aggregate feedback to product and engineering teams. In this role specifically, you will work directly with our Account Abstraction and Wallet Services team to provide hands on product specific customer support, scale this support system, and shape feedback into product decisions. This role is meant for someone with a technical background who is looking to work with multiple sides of the business, with the main focus on delivering results for customers. What You'll Do: - Provide hands on technical support within the Account Abstraction product vertical - Deliver a stellar customer experience - Scale support through internal tooling and runbooks as well as contribute to devX improvements - Understand customer needs and how to meet unique challenges and goals - Determine gaps and new features we should build to iterate and improve our offering, partnering with internal teams to drive long term solutions - Be the voice of the customers - Build and maintain ongoing relationships with complex stakeholders, both internally and externally - Work in a quickly changing environment - Drive referrals from our customers What We're Looking For: - 1+ years of experience in a software development role - Technical degree - Experience and interest in Account Abstraction / Wallet Services - Strong analytical skills - Ability to understand and troubleshoot complex technical issues - Strong communication skills with internal and external stakeholders - Excellent people skills to monitor and measure customer performance - Interest in technology, blockchain, crypto - Experience with blockchain a large plus - Founded a company or built side projects, a plus - Experience in startups, a plus BENEFITS & PERKS 🏥 Private Health Insurance 💪 Gym Reimbursement 🌴 Flexible Time Off 🥙 In-Office Group Meals 🧠 Learning & Development Stipend 🌎 Company Sponsored Conferences & Events 🎧 Books & Audiobook subscription with Bookster https://landing.bookster.ro/

Задачи: — Развивать сервисы real-time котировок, стаканов и справочника инструментов — Интегрировать поставщиков данных и биржевые фиды: multicast/FAST, TCP, WebSocket, REST — Вести справочные данные: ISIN, FIGI, MIC, корпоративные действия, сплиты, дивиденды — Строить нормализацию и контроль качества данных, fallback между поставщиками — Раздавать данные клиентам в реальном времени, отвечать за кэширование и нагрузку — Участвовать в оценке и выборе вендоров данных Требования: — 4+ лет в backend, из них 2+ с рыночными данными: брокер, биржа, вендор данных, трейдинговая платформа — Опыт работы с высоконагруженными потоковыми фидами — Понимание инструментов (акции, облигации, FX) и влияния корпоративных действий на цены — Go и/или Rust — Redis, PostgreSQL, Kafka, gRPC — Будет плюсом FAST/FIX, протоколы Мосбиржи — Опыт работы с Databento, Refinitiv или Bloomberg — Опыт в data quality Условия: — Офис в Ереване, помощь с релокацией — Для сильных кандидатов возможен удалённый формат

Задачи: — Ускорять и масштабировать LLM в продакшене: оптимизация инференса очень больших моделей (до 1T+ параметров), SGLang, KV/prefix caching, speculative decoding, квантизация. — Разворачивать распределенный инференс: MoE, tensor/expert/pipeline parallelism на multi-node / multi-GPU кластерах (32x H200 + AWS). — Заниматься Post-Training: обучать и дообучать модели компаньонов (SFT, DPO/RLHF), улучшать агентные каркасы и алгоритмы чата. — Осуществлять техлидство (без бюрократии и PM): ревью экспериментов команды NLP/CV (7 инженеров), выбор направлений и оценка гипотез. Требования: — Глубокий опыт оптимизации LLM в продакшене (SGLang, vLLM или TensorRT-LLM). — Опыт распределенного инференса/обучения гигантских моделей (MoE, multi-node clusters). — Понимание профилирования GPU, работы attention-кернелов и KV-cache. — Практика дообучения моделей (RLHF, DPO или аналоги). — Сильный бэкграунд на PyTorch / Transformers. — Английский или русский язык на профессиональном уровне. Плюсом будет: — Опыт разработки CUDA / Triton кернелов. — Бэкграунд в CV (опыт ускорения инференса гигантских GenAI моделей). — Опыт работы в AI-стартапах (Character.ai, Replika, OpenAI и др.) или BigTech (Яндекс, Сбер, T-Bank, Nebius, Meta, Mistral). — Профильное математическое / CS образование (МГУ, МФТИ, ВШЭ, Бауманка или топовые зарубежные вузы). Условия: — Полный Remote и максимум свободы без корпоративного gatekeeping. — Скорость: идеи становятся live-экспериментами за дни, а не quarters. — 28 дней отпуска + 7 wellness-дней в год без больничных листов. — $1,000 на обустройство хоум-офиса раз в 3 года. — Софинансирование обучения, конференций (50%) и медицинских расходов (до $1,000/год). — Доступ к опциональной A-team программе (опционы / % от выручки) после 1 года работы.

Location: Remote, Poland GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role At GitLab, our mission is simple: to enable everyone to contribute to and co-create the software that powers our world. As a Senior Backend Engineer on Tenant Controls , you'll design, implement, and evolve backend capabilities for a global platform that millions use. You'll solve problems of high scope and complexity, influence technical and product direction, and improve system quality, reliability, and performance beyond assigned feature work. Working across product, frontend, infrastructure, data, and security, you'll make pragmatic architectural trade-offs and partner with product managers and designers to deliver value to users in a remote-first, asynchronous environment. What you’ll do Design and ship moderate to complex backend features with minimal guidance, choosing between modular-monolith code, shared components, and independently operated services. Influence team objectives, technical direction, and long-range goals, partnering with product managers and designers to shape requirements around user needs. Define backend standards for style, maintainability, testing, application programming interfaces (APIs), and operational readiness, advocating for quality, security, availability, and performance. Mentor associate and intermediate engineers, remove technical blockers, and improve delivery practices through code and design reviews. Diagnose and prevent performance and reliability issues at scale, participate in incident response, and act as a technical owner where appropriate. Experiment with and integrate agentic AI into production engineering workflows, evaluate its effectiveness, and coach others on responsible use and sound judgment. Take part in on-call or operational support where your team’s ownership model requires it. What you’ll bring Strong command of backend architecture, APIs, data systems, and performance tuning in a complex product or service environment. Proficiency in modern backend languages and a deep understanding of systems programming, with the ability to learn and adapt rather than mastery of a single language. Experience designing or evolving modular backend boundaries, bounded contexts, and migration-safe architectures. Ability to lead through influence, technical judgment, and clear asynchronous written communication, connecting product needs with technical decisions and directing your own work. Experience building or operating agentic AI systems in production, including loops, tool use, and error-handling strategies that support reliability at scale, beyond prompt engineering alone. Helpful, but not required: experience with high-throughput distributed systems, concurrency or profiling; containerized production operations (such as Kubernetes); database performance (PostgreSQL, ClickHouse, schema evolution or partitioning); large-scale modular monoliths or event-driven systems; public technical communication, open source maintenance or developer-focused software as a service (SaaS). About the team You'll join Tenant Controls within Production Engineering, where we own application-level rate limiting on GitLab.com. We build the framework that defines, counts, and observes every application rate limit and migrate existing implementations onto it. Our mission is to give GitLab.com a single way to define, configure, and observe these limits, so operators can understand them during an incident and change them without a deploy. The base salary range for this role’s listed level is currently for residents of the EU, applicable in the specified country or countries only. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location and having regard to any applicable collective agreements. The base salary range does not include bonuses, equity, or benefits. Poland base salary range: 272,000zł - 408.000zł How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Задачи: — Владеть торговым доменом: OMS, жизненный цикл ордера, smart order routing — Разрабатывать адаптеры к биржам и прайм-брокерам: FIX, нативные протоколы, REST/WebSocket/SSE — Поддерживать типы ордеров market, limit, stop, take profit, stop loss, частичные исполнения, amend/cancel — Строить pre-trade риск-чеки, лимиты и блокировку средств совместно с сервисом счетов — Обеспечить effectively-once обработку команд и исполнений, восстановление после сбоев, сверку позиций — Развивать собственный matching engine, в том числе для крипто-биржи Требования: — 5+ лет в backend, из них 3+ в трейдинге: брокер, биржа, проп-трейдинг, крипто-биржа — Опыт построения OMS/EMS или matching engine в продакшене — Понимание market microstructure, торговых сессий, типов ордеров, протокола FIX — Go или готовность перейти на него с Java/C++/Rust — Конкурентное программирование, low-latency — Kafka, PostgreSQL, Redis Будет плюсом: — Интеграции с Мосбиржей (ASTS), американскими рынками, крипто-биржами — Опыт SOR и агрегации ликвидности Условия: — Офис в Ереване, помощь с релокацией — Для сильных кандидатов возможен удалённый формат

Задачи: — Построение и развитие процессов QA в продуктовой команде. — Тестирование web-продуктов, API, интеграций и платежных систем. — Разработка и поддержка автоматизированных тестов. — Проведение функционального, интеграционного, regression и smoke-тестирования. — Анализ требований и выявление потенциальных проблем до разработки. — Работа с логами, аналитикой и базами данных для поиска причин ошибок. — Контроль качества релизов и участие в процессе CI/CD. — Взаимодействие с разработчиками и Product-командой для повышения общего качества продукта. Условия: — Зарплата в долларах — Реальное влияние на продукт — Быстрые итерации, минимум бюрократии — Возможность вырасти в лида

Развиваем экосистему FinTech-продуктов прямо внутри Telegram: виртуальные и физические карты, криптокошелек и платежные сервисы (Telegram Mini App, боты, B2B API и White Label). Задачи: • Разрабатывать фичи в API Mini App, ботах, картах, кошельке, комиссиях и B2B API. • Подключать интеграции с внешними провайдерами (таймауты, повторы, идемпотентность платежей). • Работать с базой (MongoDB, Redis, чтение SQL в PostgreSQL). • Покрывать код тестами на pytest и проведением ревью задач Джуниор-разработчика. • Разбирать прод-инциденты вместе с QA. Требования: • Коммерческий опыт бэкенд-разработки на Python от 3 лет (asyncio в проде). • Опыт работы с MongoDB и Redis в продакшене. • Базовый SQL (прочитать запрос, понимать транзакции). • Опыт работы с REST API, Git, Docker Compose, pytest. • Внимательность к финтех-логике (статусы операций, защита от повторного списания). Будет плюсом: опыт в FinTech/Crypto/KYC, интеграции с платежками, разработки Telegram Mini Apps / aiogram, навыки работы с LLM/нейросетями в ежедневной разработке. Условия: • Полная удаленка и гибкий график. • Живой масштабный продукт в Telegram. • Сильная команда (ревью с Senior, прямая коммуникация с продуктом без лишней бюрократии). • Доход: по результатам собеседования.

Location: Hong Kong Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Hong Kong This is an initial two-month, part-time engagement, with potential for extension subject to performance, business needs, and mutual agreement. The Role Nex creates active-play experiences that bring people together through movement and games. Working with our Core Technology team, you’ll build and refine electronics and enclosures, collaborating with software engineers and researchers to turn concepts into reliable, usable prototypes. This is a hands-on prototyping role, not a mass-production hardware program. The Mindset You’re a practical builder, comfortable with schematics, soldering, CAD, and testing. You balance speed with engineering discipline, make sensible build-versus-buy trade-offs, and take ownership of the complete prototype. What You'll Do Design and modify circuits and PCBAs; select and integrate components. Create mechanical CAD, 3D-printed enclosures, and practical mounting solutions. Assemble, bring up, rework, and debug prototypes using lab measurements. Collaborate on firmware and software integration, resolving interface, connectivity, and power issues. Iterate quickly from test findings and build consistent, reliable prototype units. Document schematics, PCB files, BOMs, CAD, assembly instructions, and known limitations. Success Looks Like Fast iteration from identified problems to tested improvements. Usable, consistent prototypes that withstand repeated testing and handling. Clear documentation enabling the team to maintain and reproduce builds. What You Bring Demonstrated experience building working electronic prototypes, including circuit design, board bring-up, soldering, rework, and debugging. Hands-on experience with mechanical CAD and rapid enclosure prototyping, such as 3D printing. Experience integrating microcontrollers, sensors, wireless modules, and battery-powered electronics. Confidence using oscilloscopes, multimeters, logic analysers, and other practical debugging tools. Ability to work independently, make sensible trade-offs, and deliver within a short iteration cycle. Clear communication and documentation skills, including explaining issues and options to software engineers. Availability to work on-site in Hong Kong on a half-time basis for a two-month engagement. Preferred Experience with Bluetooth-connected devices, sensors, or interactive hardware. Embedded C/C++ skills and experience modifying firmware for device bring-up and diagnostics. Experience with compact, battery-powered consumer-device prototypes. Familiarity with component sourcing, PCB fabrication, and local rapid-prototyping suppliers. Experience preparing hardware for hands-on user evaluation. Interest in games, physical interaction design, or consumer electronics. If you are interested in this position, please share your CV and examples of hardware you’ve built—photos, videos, or brief write-ups are welcome. Describe your contribution, a problem you solved, and how you tested it. Include your availability, proposed schedule, and contractor rate. We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Задачи: — настройка и поддержка серверной инфраструктуры; — работа с Linux-серверами; — участие в настройке и поддержке CI/CD-процессов; — работа с Docker и Docker Compose; — развертывание и обновление приложений на тестовых и production-серверах; — настройка и поддержка Nginx; — мониторинг состояния сервисов и анализ логов; — участие в автоматизации процессов разработки и развертывания. Требования: — студент 4 курса бакалавриата или выпускник бакалавриата 2026 года; — базовые знания Linux и командной строки; — понимание основ Docker и контейнеризации; — понимание принципов CI/CD; — базовые навыки работы с Git; — понимание основ сетей: HTTP/HTTPS, DNS, IP и порты; — базовое понимание работы Nginx; — наличие учебных или pet-проектов будет преимуществом; — желание развиваться в направлении DevOps, Cloud и Infrastructure. Условия: — график 5/2; — офис в Алматы, ул. Кабдолова, 22Б.

Задачи: — Руководить командой, которая проектирует, строит и эксплуатирует платформу уведомлений Reddit. — Определять техническое направление для общих платформенных возможностей, включая API уведомлений, событийные системы, оркестрацию рабочих процессов, каналы доставки, пользовательские настройки, шаблоны, эксперименты и наблюдаемость. — Тесно сотрудничать с командами машинного обучения для создания и внедрения ML-систем уведомлений, обеспечивая масштабируемую платформу и операционные основы. — Партнерство с продуктовыми и инженерными командами для определения четких контрактов платформы, улучшения опыта разработчиков и безопасного запуска уведомлений. — Управлять полным циклом разработки: проектирование, разработка, тестирование, развертывание, эксплуатация и постоянное улучшение высокодоступных сервисов. — Устанавливать практики надежности, масштабируемости, производительности, конфиденциальности, безопасности и операционного совершенства. — Формировать и поддерживать разнообразную команду для решения технических задач. — Быть партнером по мышлению для продукта и высшего руководства, обеспечивая согласование планов команды с целями компании. — Коммуницировать работу команды и устанавливать ожидания с кросс-функциональными заинтересованными сторонами. — Помогать инженерам в постановке карьерных целей и создании планов развития. Требования: — Более 2 лет опыта в построении и управлении инженерными командами. — Более 5 лет опыта в роли инженера или менеджера, работающего с крупномасштабными распределенными системами или платформенными сервисами. — Глубокое понимание распределенных систем, сервис-ориентированной архитектуры, событийных систем и API в продакшене. — Опыт с системами уведомлений, сообщений или высоконагруженными системами доставки будет плюсом. — Практический опыт с высокодоступными, низколатентными сервисами и операционным совершенством. — Опыт работы с облачной инфраструктурой, хранением данных, потоковыми или сообщений системами и инструментами наблюдаемости. — Опыт определения технического направления для платформенных команд, балансируя между консистентностью, расширяемостью и автономией команд. — Предпринимательский, самостоятельный, ориентированный на результат, склонный к действию в быстро меняющейся среде. — Умение общаться с технической и нетехнической аудиторией. — Способность решать неоднозначные и неопределенные задачи. Условия: — Полный социальный пакет, включая медицинское страхование, программы замещения дохода. — 401k с участием работодателя. — Глобальные программы поддержки, включая рабочее пространство, профессиональное развитие и поддержку по уходу. — Поддержка планирования семьи, гендерно-утверждающая помощь, ментальное здоровье и коучинг. — Гибкий отпуск и оплачиваемое волонтерство. — Щедрый оплачиваемый декретный отпуск. — Прозрачность оплаты: базовая зарплата от $217,000 до $303,000 в год, возможность получения акций и комиссионных. — Работа удаленная из США.

About the Job: We’re looking for an Engineering Manager to lead LaunchDarkly’s Cloud Engineering team, responsible for foundational infrastructure including AWS accounts, networking, multi-region Kubernetes infrastructure, Terraform and GitOps workflows, CockroachDB operations, disaster-recovery capabilities, and FedRAMP infrastructure posture. Responsibilities: — Lead and develop a senior Cloud Engineering team with coaching, feedback, performance management, and career development. — Own operational health of cloud infrastructure including incident response, on-call health, service-level objectives, resilience, and disaster recovery. — Launch and deliver a multi-quarter infrastructure insourcing program from planning through completion. — Guide technical priorities and tradeoffs across AWS infrastructure, networking, Kubernetes, infrastructure as code, GitOps, datastore operations, and compliance-related infrastructure. — Build leverage through software, automation, and paved paths to help product engineering teams use infrastructure safely and independently. — Support migrations with guidance and enablement while maintaining clear ownership boundaries. — Establish team norms for AI-assisted engineering and identify opportunities to reduce operational toil through AI and automation. — Maintain team health and continuity through change, fostering an inclusive, collaborative, and accountable environment. — Partner with various platform and product engineering teams on shared infrastructure priorities and dependencies. — Communicate roadmaps, operational risks, investment needs, and progress to leadership and stakeholders. — Participate in hiring and team planning as the organization grows. Qualifications: — 2+ years managing infrastructure, platform engineering, or site reliability engineering teams at a product company, including people management of on-call teams. — Demonstrated ownership of incident response, on-call health, and service-level objective frameworks. — Experience leading multi-quarter infrastructure migration or insourcing programs. — Technical fluency with AWS, Kubernetes, and infrastructure-as-code practices. — Experience managing leadership transitions and maintaining team engagement and retention. — Clear perspective on team norms and practices for AI-assisted engineering. — Strong communication skills. — Calm and accountable leadership, especially during incidents and change. Nice to Haves: — Experience with vendor negotiations or cloud cost management. — Experience supporting FedRAMP or compliance-related infrastructure. — Experience operating large-scale datastores or OLAP systems. — Experience growing a team through funded expansion. Pay: — Target pay ranges based on US geographic zones from $163,000 to $263,670 annually, inclusive of a 10% bonus target. About LaunchDarkly: LaunchDarkly provides a platform to improve software delivery velocity and stability, enabling developers to innovate faster with feature flagging and gradual rollouts, improving engineering productivity and customer experience. Equal Opportunity: LaunchDarkly is an equal opportunity employer valuing diversity and inclusion. Application: Apply via the provided link.

Задачи: — Владение и развитие облачной платформы, используемой командами продукта и инженерии Webflow, включая вычислительный слой, кластер EKS, бессерверную инфраструктуру, сетевые решения и облачные операции в AWS и GCP. — Проектирование и поддержка инфраструктуры как кода, развитие шаблонов и общих компонентов для других команд. — Проектирование и поддержка сетевого слоя, обеспечивающего надежность, безопасность и масштабируемость в облачных средах. — Улучшение системы наблюдаемости, включая дашборды, оповещения и SLO, чтобы проблемы выявлялись до того, как их заметят пользователи, и чтобы оповещения были полезными. — Создание и поддержка автоматизации на базе ИИ для управления облачной инфраструктурой, включая политику как код, обнаружение отклонений и генерацию инструкций с помощью LLM. — Участие в формировании культуры растущей международной команды. Требования: — Опыт работы инженером инфраструктуры, инженером надежности сайта или облачным инженером с энтузиазмом к автоматизации и коду, либо опыт разработчика с глубоким интересом к облачной инфраструктуре и распределённым системам. — Более 5 лет опыта владения и эксплуатации облачной инфраструктуры в условиях минимального времени простоя. — Глубокий практический опыт работы с AWS и понимание лучших практик облачных операций. — Опыт управления кластерами Kubernetes в масштабе, включая обновления, управление группами узлов, автоскейлинг и жизненный цикл дополнений к кластеру. — Опыт работы с инструментами инфраструктуры как кода, такими как Pulumi или Terraform, с предпочтением изменений через код, а не через консоли. — Опыт работы в мульти-региональных или мульти-облачных средах на AWS или GCP. — Готовность к обучению и развитию, активное применение ИИ и новых технологий для повышения эффективности работы. Преимущества: — Опыт с Karpenter, cluster autoscaler или другими инструментами масштабирования Kubernetes. — Опыт работы с OpenTelemetry, Datadog, Prometheus или Grafana. — Опыт создания инструментов инфраструктуры с поддержкой ИИ, включая оптимизацию затрат, обнаружение аномалий или политику как код с помощью LLM. — Опыт работы с мульти-региональной архитектурой, включая требования к локализации данных, резервированию и маршрутизации с учётом задержек. Условия: — Удалённая работа с приоритетом на Аргентину. — Постоянная, полная занятость, не контрактная позиция. — Акционерное участие (RSU) в компании. — Медицинское, стоматологическое и офтальмологическое страхование с покрытием премий компанией. — 12 недель оплачиваемого отпуска по уходу за ребёнком для всех родителей и дополнительные 6+ недель для рожающих родителей. — Гибкий отпуск, оплачиваемые праздники и программа саббатикала. — Доступ к ресурсам для психического здоровья, терапии и коучинга. — Пенсионные планы с 100% соответствием взносов работодателя в США и поддержка пенсионных накоплений по всему миру. — Ежемесячные выплаты на поддержку работы и здоровья. — Ежегодная бонусная программа для постоянных сотрудников. — Равные возможности и инклюзивная культура. Контакт для отклика отсутствует.

About LaunchDarkly Engineering LaunchDarkly helps engineering organizations ship software and AI with speed, safety, and control. Their platform enables teams to release gradually, target experiences to the right audiences, learn through experimentation, understand production behavior, and respond quickly to risks. Engineers build systems, services, SDKs, developer tools, cloud infrastructure, and product experiences spanning high-scale distributed systems, reliable data and event pipelines, intuitive workflows, and AI-powered capabilities. About the role Multiple backend engineering roles are open on various teams, with level, scope, and technical focus aligned to candidate experience. Relevant experience includes cloud platforms, distributed systems, developer tools, SDK engineering, data infrastructure, observability, or AI/agent systems. Backend Engineers design, build, and operate services powering reliable software delivery, working on APIs, distributed systems, configuration and event pipelines, data services, SDK infrastructure, platform capabilities, or backend systems supporting product experiences. Collaboration with Product, Design, and partner teams is essential to deliver scalable solutions. Engineers own work from design through production and contribute to large-scale systems. What you’ll do — Design, implement, test, and operate production services and APIs. — Lead projects or significant components from problem definition through deployment and iteration. — Make tradeoffs across scalability, performance, reliability, security, maintainability, and delivery speed. — Improve observability and operability of owned systems, including metrics, logs, traces, alerting, and incident learnings. — Collaborate with Product, Design, Support, Customer Success, and engineering teams to understand needs and deliver outcomes. — Participate in technical design discussions and code reviews, sharing feedback and learning. — Investigate production issues calmly and turn operational lessons into improvements. — Contribute to a culture of inclusive collaboration, continuous improvement, and high-quality engineering. Qualifications — 5+ years of experience building and operating production software or equivalent. — Strong fundamentals in software engineering: data structures, algorithms, testing, debugging, API design. — Experience with backend languages such as Go, Python, Rust (most teams use Go). — Experience designing or contributing to reliable, observable, and maintainable services. — Ability to explain technical decisions and tradeoffs clearly to technical and non-technical partners. — Collaborative approach and ownership sense for work and customer impact. — Comfort with learning unfamiliar systems and working through ambiguous problems. Pay Target pay ranges for Level 3 based on US geographic zones: Zone 1 (San Francisco/Bay Area, NYC Metro, Boston, Seattle): $171,200 - $235,400 Zone 2 (Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago): $154,100 - $211,860 Zone 3 (All other US locations): $145,500 - $200,090 Compensation includes Restricted Stock Units (RSUs), health, vision, dental insurance, and mental health benefits. Additional information LaunchDarkly values diversity and is an equal opportunity employer. They provide accommodations for disabilities and caution applicants about recruitment scams. Official applications are accepted only through verified channels. To apply: https://weworkremotely.com/remote-jobs/launchdarkly-backend-engineer-multiple-positions

Задачи: — развивать продукт и пользовательский опыт: делать интерфейс удобнее, понятнее и красивее; — превращать дизайн и идеи в работающие страницы; — замечать места, где пользователю неудобно, и предлагать, как это исправить; — работать над адаптивностью, анимациями и деталями интерфейса; — развивать существующий продукт, а не только выполнять готовые задачи; — постепенно брать ответственность за отдельные части продукта целиком. Требования: — желание присоединиться к стартапу на ранней стадии; — интерес к созданию настоящего продукта; — хороший вкус к интерфейсам; — внимание к деталям; — способность самостоятельно разобраться в незнакомом коде; — желание предлагать решения, а не только выполнять задачи; — готовность быстро учиться и использовать современные инструменты, включая AI; — если есть опыт с JavaScript, TypeScript, React, Vue, Next.js, CSS, API — отлично, но стек не критичен; — важен результат и готовность разбираться с новым стеком. Условия: — удалённая работа; — оплата в опционах компании; — возможность влиять на продукт на ранней стадии; — возможность показать себя любым удобным способом (GitHub, проекты, код) без обязательного идеального резюме.

Задачи: — Проводить исследования на основе большого количества реальных гитарных джемов — Работать с существующими open source моделями и трансформировать их под музыкальные задачи — Вести полный цикл от идеи и исследования до реализации и деплоя — Заниматься и генерацией, и распознаванием игры на музыкальных инструментах — Тестировать результат сам — садиться с гитарой и проверять на слух — Строить и поддерживать инфраструктуру (Docker, облака, MLOps) Требования: — Играет на гитаре и любит музыку — Имеет опыт в audio/speech ML — генерация, распознавание, обработка звука — Готов вести полный цикл — исследования, реализация, деплой, инфраструктура (Docker, облака, MLOps)

Задачи: — Автоматизация тест-кейсов — Сопровождение и поддержка существующих автотестов в актуальном состоянии — Запуск автотестов и анализ отчетов — Модернизация и оптимизация фреймворка автоматизации тестирования — Работа с документацией (Confluence, Swagger, ТестОпс) Требования: — Коммерческий опыт автоматизации тестирования веб-приложений (SOAP, REST) на языке Python от 1 года — Знание теории и методик тестирования ПО — Знание и применение ООП и основных паттернов проектирования в автоматизации тестирования — Знание HTTP, REST, SOAP и клиент-серверной архитектуры, микросервисной архитектуры — Знание SQL (на уровне join) — Опыт разработки автотестов (pytest + requests + allure) — Опыт работы с Git — Опыт использования CI/CD GitLab — Опыт работы с брокерами сообщений Kafka, ActiveMQ — Опыт работы с системами логирования Kibana, Grafana Плюсом будет: — Опыт работы Docker, K8s — Работа с 1C Условия: — Официальное трудоустройство в аккредитованную IT-компанию — ДМС — Удаленный формат работы (предоставляем технику, если нужно) — Возможности обучения и развития за счет компании — Можно работать из офиса в СПБ с современным дизайном и лучшими видами на Финский залив, зонами отдыха с выходом на крыше

Location: AU: Sydney (45 Clarence St) Workplace: Hybrid ENGINEERING MANAGER - APPLIED AI THE ROLE AND ITS IMPACT You will lead and grow the Internal AI Accelerator team as it expands from its current core to a fully formed engineering squad. You will own the strategy, delivery, and roadmap for how Xero designs and delivers agentic AI workflows that eliminate manual toil, speed up decision-making, and generate measurable productivity gains. This means working directly with business leaders across G&A, Finance, P&C, and IT functions to co-build reusable AI patterns and governance frameworks that last. You will shape how Xero thinks about AI delivery long after your tenure, building playbooks and reference architectures that other teams can pick up and run with. What your engineers build goes into production and real people rely on it. One month you are partnering with finance, the next you are embedded in IT. You set the pace, you unblock the path, and you hold your team accountable to shipping. THE TEAM AND HOW THEY CONNECT The Internal AI Accelerator team is a small, high-impact crew of engineers embedded across Xero's business units. They partner directly with product, engineering, and business teams to design and ship AI workflows in weeks, not months. The team operates with a direct line to senior stakeholders and a genuine mandate to move fast. Together, you are genuinely curious about what works and what doesn't, learning openly from every project and sharing what you discover. THE TEAM IS CURRENTLY WORKING ON The team is expanding from a proof-of-concept phase into building at scale. You will focus on growing the engineering capability across multiple workstreams. Initially, your priorities will be: - Scaling agentic AI delivery across multiple business domains (finance, HR, support, operations) - Building reusable patterns, platforms, and governance frameworks that other teams can adopt - Designing and implementing the technical architecture for enterprise AI deployments - Establishing best practices for AI safety, evaluation, and operations at scale WHERE AND HOW YOU CAN WORK This role is based in Sydney. You will work in a hybrid model with core collaboration days in the office. Xero supports flexible ways of working, and regular "boost days" bring our ANZ teams together for connection and planning. HERE ARE SOME OF THE THINGS WE ARE LOOKING FOR - You bring solid engineering credibility, ideally from shipping production software at scale, so you can make sound technical decisions and earn your team's respect without needing to code day-to-day. - Your approach to strategy is pragmatic: you can move fast without all the answers, turning vague problems into clear scope, and pivoting when the situation changes. - You will Go Bold in how you lead: giving your team ownership, pushing back on processes that slow you down, and creating space for innovation alongside delivery. - You demonstrate genuine curiosity about your people and a commitment to coaching them up. You leave your team knowing more than when they joined. - You show comfort bridging technical and non-technical worlds, translating between engineers and business stakeholders without losing nuance on either side. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.