Вакансии

Location: Amsterdam, Netherlands; Berlin, Germany; London, United Kingdom; Poland; Prague, Czech Republic; Tel Aviv, Israel; Zurich, Switzerland About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Задачи: — поддерживать и настраивать IP-телефонию на базе Asterisk: dialplan, SIP-транки, маршрутизация; — подключать SIP-провайдеров, обеспечивать входящую и исходящую связь, автообзвон; — интегрировать Asterisk с backend и CRM через ARI/AMI; — диагностировать проблемы SIP/RTP и качества связи; — работать с CDR и записями звонков; — использовать Asterisk Realtime и MariaDB/MySQL; — заниматься безопасностью инфраструктуры: firewall, Fail2Ban, ACL; — контролировать мониторинг и самостоятельно разбираться с возникающими инцидентами. Требования: — опыт работы с Asterisk от 2 лет; — глубокое понимание SIP, VoIP, NAT, RTP и кодеков; — практический опыт с ARI и/или AMI; — уверенное администрирование Linux; — базовые навыки работы с MariaDB/MySQL; — понимание безопасности VoIP и умение самостоятельно решать технические проблемы. Плюсом будет опыт с Redis, Nginx и системами мониторинга. Условия: — зарплата $3000 в месяц, фиксированно; — полностью удалённый формат работы / Home Office; — график Пн–Пт, 09:00–18:00 (UTC+3); — обед 1 час + три перерыва по 15 минут; — работа в формате онлайн-офиса с включённой камерой и демонстрацией экрана в рабочее время. Работа в Армении.

Задачи: — развитие клиентского frontend и admin panel — проектирование и реализация новых фич end-to-end: от технического решения до релиза — работа с React, TypeScript, Node.js — SSR, prerendering, BFF — интеграции с Go-backend — WebSocket, SSE — white-label / multi-theme архитектура — runtime config, design tokens — unit и integration tests — code review и участие в технических решениях Требования: — 3-4+ года коммерческой разработки — сильный React и TypeScript — JavaScript, HTML/CSS, adaptive / cross-browser — state management: Redux, Zustand, MobX или аналоги — понимание HTTP, REST, базовые знания SQL — Git, CI/CD — frontend security: XSS, tokens, validation — умение проектировать решения, читать и ревьюить чужой и AI-generated code Будет плюсом: — опыт с white-label / multi-tenant продуктами — знание design systems / theme systems — опыт работы с Figma → code / design tokens — знание Go — опыт в fintech, crypto, Web3 — понимание agentic workflows, MCP, AI в CI Условия: — полностью удалённая работа — полная занятость — зарплата $2500-3000 — минимум бюрократии и микроменеджмента — много новых продуктовых задач — влияние на архитектуру и продукт — компания оплачивает AI-инструменты

Задачи: — Проектировать и развивать LLM/AI-системы и AI-агентов; — Строить многошаговые agentic workflows: routing, tool calling, state management; — Работать с Prompt Engineering и Context Engineering; — Управлять контекстом, памятью и состоянием диалога; — Реализовывать structured output и function/tool calling; — Строить RAG-пайплайны: chunking, embeddings, retrieval, reranking; — Интегрировать LLM с API, базами данных и внутренними сервисами; — Разрабатывать backend-сервисы на Go и AI-компоненты на Python; — Исследовать новые модели и подходы, быстро проверять гипотезы; — Выбирать модели с учетом качества, latency и стоимости; — Строить систему оценки качества: evals, regression tests, golden datasets, LLM-as-a-judge; — Анализировать логи и traces, улучшать качество и стабильность агентов; — Реализовывать retries, fallbacks, timeouts и обработку ошибок; — Доводить решения от прототипа до стабильного production. Требования: Go: — production-сервисы; — REST/gRPC API; — concurrency; — работа с БД; — микросервисная архитектура. Python: — AI-сервисы и backend; — async; — API; — обработка данных; — быстрое прототипирование. Также важно: — Практический опыт разработки production-приложений с LLM; — Понимание архитектуры современных AI-систем: prompt → context → tools → agent → state → evaluation; — Опыт Prompt Engineering: system prompts, few-shot, prompt chaining, structured output; — Опыт Context Engineering: memory, summarization, динамическая сборка контекста; — Опыт создания AI-агентов и agentic workflows; — Работа с LLM API и понимание особенностей разных моделей; — Понимание RAG: embeddings, vector search, retrieval, reranking, hybrid search; — Понимание evals, regression testing и анализа production-логов; — Опыт с PostgreSQL, MongoDB, Redis, Docker, Git, CI/CD; — Понимание production-подходов: observability, scalability, latency, retries, fallbacks и контроль стоимости. Будет плюсом: — Multi-agent системы; — LangGraph; — MCP; — Langfuse / LangSmith; — Elasticsearch / OpenSearch; — Open-source LLM: Qwen, Llama, DeepSeek и др.; — vLLM / Ollama; — Kafka / RabbitMQ; — Kubernetes; — Оптимизация token usage, latency и стоимости LLM; — Guardrails и защита от prompt injection; — Highload-системы. Ищем инженера, который воспринимает LLM не как простой API, а как компонент большой production-системы. Важно уметь проектировать всю логику вокруг модели: какие данные передать в контекст, какого агента или инструмент вызвать, как проверить результат, обработать ошибку и определить следующий шаг. Ищем software engineer с сильной AI/LLM-экспертизой, который умеет не только написать хороший промпт, но и довести всю систему до стабильного production-решения.

Задачи: — Проектировать и развивать LLM/AI-системы и AI-агентов; — Строить многошаговые agentic workflows: routing, tool calling, state management; — Работать с Prompt Engineering и Context Engineering; — Управлять контекстом, памятью и состоянием диалога; — Реализовывать structured output и function/tool calling; — Строить RAG-пайплайны: chunking, embeddings, retrieval, reranking; — Интегрировать LLM с API, базами данных и внутренними сервисами; — Разрабатывать backend-сервисы на Go и AI-компоненты на Python; — Исследовать новые модели и подходы, быстро проверять гипотезы; — Выбирать модели с учетом качества, latency и стоимости; — Строить систему оценки качества: evals, regression tests, golden datasets, LLM-as-a-judge; — Анализировать логи и traces, улучшать качество и стабильность агентов; — Реализовывать retries, fallbacks, timeouts и обработку ошибок; — Доводить решения от прототипа до стабильного production. Требования: Go: — production-сервисы; — REST/gRPC API; — concurrency; — работа с БД; — микросервисная архитектура. Python: — AI-сервисы и backend; — async; — API; — обработка данных; — быстрое прототипирование. Также важно: — Практический опыт разработки production-приложений с LLM; — Понимание архитектуры современных AI-систем: prompt → context → tools → agent → state → evaluation; — Опыт Prompt Engineering: system prompts, few-shot, prompt chaining, structured output; — Опыт Context Engineering: memory, summarization, динамическая сборка контекста; — Опыт создания AI-агентов и agentic workflows; — Работа с LLM API и понимание особенностей разных моделей; — Понимание RAG: embeddings, vector search, retrieval, reranking, hybrid search; — Понимание evals, regression testing и анализа production-логов; — Опыт с PostgreSQL, MongoDB, Redis, Docker, Git, CI/CD; — Понимание production-подходов: observability, scalability, latency, retries, fallbacks и контроль стоимости.

Задачи: — Использовать AI для разработки функций на backend, web, Android и iOS. — Сотрудничать с продакт-менеджерами для формирования решений и проектирования в условиях ограничений. — Владеть полным жизненным циклом функций: проектирование, реализация, тестирование и выпуск. — Писать комплексные автоматизированные тесты и обеспечивать высокое качество доставки. Требования: — Опыт в разработке ПО 5+ лет, особенно в backend. — Ежедневный опыт работы с AI-инструментами программирования в продуктивных средах. — Сильные знания алгоритмов, структур данных и проектирования систем. — Способность работать с несколькими стеками и быстро осваивать новые технологии. — Владение английским языком на уровне не ниже intermediate. Плюсы: — Опыт с Java 17+, Spring Boot, микросервисами и высоконагруженными системами. — Знакомство с платформами для прямых трансляций и видео. — Опыт создания агентных рабочих процессов и автоматизированного тестирования на разных поверхностях. Условия: — Конкурентная зарплата, бонусы по результатам и опционы. — Официальное трудоустройство на Кипре с поддержкой визы для сотрудника и супруга. — Офис в Лимассоле с питанием, закусками и корпоративной культурой. — Медицинская страховка (100% для сотрудников, 75% для семей). — Доступ к матчам Aris Limassol F.C., корпоративным мероприятиям и урокам греческого. — Формат работы: офис (Лимассол).

Location: Shanghai Workplace: OnSite 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. Global payments are complex and ever-evolving. At Checkout our software engineers develop the next-generation payments technologies that enable our Merchants to boost their acceptance rates, cut processing costs, fight fraud, and create cutting edge technology that enables extraordinary customer experiences. We're looking for Senior Software engineers who bring fresh ideas, have a curious nature and are passionate about working in an Engineering environment which focuses on building products to achieve the company's strategic goals. You’ll get to work with teams from across Checkout.com http://Checkout.com’s portfolio of products and services who all have a real customer first philosophy. As a Senior Software engineer, you will lead and drive specific projects critical to Checkout's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display exceptional leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will lead project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. WHAT ARE WE LOOKING FOR: - Bachelor's or Master's degree in Computer Science, Engineering, or related field - Proficiency in .NET C#, Java, or Go, with a strong understanding of software development principles in either a backend or full stack environment. - Great communication skills and ability to interact effectively with a wide range of stakeholders - Experience working in agile environments and delivering high-quality code within tight deadlines - Excellent problem-solving skills and the ability to work independently as well as part of a team - Payments or financial knowledge is a plus, but not a necessity   How you’ll make an impact - Be part of, and collaborate with, cross-functional teams including product management, across a large engineering community. - Define and design loosely coupled, scalable systems in a wider microservices using industry best practices. - Stay up-to-date, use, and spread knowledge of the latest technologies used by Checkout. - Write clean, maintainable, extendable and testable code on some of Checkout’s most impactful systems. - Build, own and operate your systems to the highest levels of resilience and service. - Mentor junior team members and assist in their technical development 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/

I’m looking for an experienced Full-Stack Developer to help build a new company from the ground up. Experience with web/app development, backend & frontend. Startup mindset and ability to work independently. Potential for long-term collaboration.

Задачи: — координация работы системных аналитиков проекта; — системный анализ в рамках проекта по разработке системы принятия решений КАСКО; — анализ структур данных (JSON, XML) и атрибутов системных сущностей для постановки задач на разработку реляционных баз данных (Postgre) и контрактов для межсистемного взаимодействия (REST); — исследование и описание алгоритмов агрегирования данных для постановки задач на разработку; — формирование документации (описание контрактов и алгоритмов, формирование карт данных, подготовка ER-диаграмм, подготовка ТЗ на разработку, участие в подготовке датасетов для тестирования); — декомпозиция ТЗ на задачи для разработчиков; — взаимодействие со смежными командами для синхронизации текущих изменений в зависимых системах; — участие в функциональной приемке задач. Требования: — опыт работы от 3 лет в роли старшего системного аналитика; — опыт участия в подготовке архитектурного решения на создание новой Системы; — опыт работы в роли системного аналитика в проектах с REST API; — основы программной инженерии, жизненного цикла разработки программного обеспечения, управления требованиями; — опыт анализа, выявления и формализации требований заказчиков; — знание стандартов описания и моделирования бизнес-процессов на этапе анализа (BPMN, UML, DFD, SADT, IDEF и др.); — опыт написания технического задания (user story, диаграмм потоков, последовательности и ER) на уровне постановки задачи для разработчиков реляционных БД и backend-сервисов; — опыт проектирования асинхронного взаимодействия систем через брокеры сообщений; — понимание взаимодействия ИТ-систем: приложение, серверная часть, внешние системы и т.д.; — знание SQL, T-SQL, PL SQL на уровне составления запроса к нескольким таблицам и чтения хранимых процедур; — опыт работы с реляционными БД, HTTP, WebAPI, REST/SOAP, jwt/oauth 2.0, swagger, Postman; — опыт проектирования API (REST, SOAP); — знание принципов клиент-серверной архитектуры; — понимание основ построения noSQL БД; — знание современных технологий, применяемых в микросервисной архитектуре, понимание отличий монолитной и микросервисной архитектур; — понимание принципов UI/UX.

Задачи: — Анализ требований — Разработка автотестов на Java — Создание коллекций автоматизированных тестов API в Postman — Создание тестовых артефактов в Jira, Zephyr — Проведение тестирования — Формирование отчетов о проведенном тестировании — Написание тестовой документации Требования: — Опыт коммерческой разработки автотестов на Java от 3 лет — Опыт создания или глубокой модернизации фреймворков автоматизации тестирования на Java — Понимание методов и методик тестирования — Опыт создания автотестов для web-приложений (frontend & backend) — Понимание основ SQL — Опыт работы с Postman — Опыт работы с документацией: анализ требований, создание тестовых сценариев, формирование отчетов по тестированию — Понимание жизненного цикла ПО — Уверенное владение Java на уровне написания автотестов Условия: — Работа в аккредитованной ИТ-Компании, занимающей лидирующие позиции на рынке — ДМС после испытательного срока с возможностью страхования детей и родственников — Спорт и изучение английского языка со скидкой — Корпоративная валюта для приобретения подарков, компенсации расходов на детский лагерь или занятия спортом — Праздники и ивенты как часть корпоративной культуры — Оформление кадровых документов в электронном виде онлайн — Белое оформление по ТК РФ — Удаленный формат работы

Задачи: — Разработка и развитие клиентской части продукта на React — от архитектуры и управления состоянием до production-ready UI с реальными пользователями. — Проектирование масштабируемой frontend-архитектуры, выбор технологических решений и формирование стандартов разработки. — Интеграция с backend REST API, участие в проектировании контрактов взаимодействия (OpenAPI/Swagger). — Оптимизация производительности приложения, управление техническим долгом, рефакторинг сложных участков кода. — Участие в code review, менторство разработчиков, развитие инженерных практик команды. — Взаимодействие с product-менеджерами, дизайнерами и backend-разработчиками на всех этапах разработки. — Участие в декомпозиции задач, технической оценке и планировании спринтов. Требования: — Глубокое знание React (18+) и его экосистемы: хуки, контекст, жизненный цикл компонентов, механизмы ререндеринга и оптимизации (мемоизация, виртуализация). — Уверенное владение TypeScript (generics, utility types, типизация сложных структур). — Опыт работы с state-менеджерами: Redux Toolkit, Zustand, React Query, TanStack Query; понимание разделения server-state и client-state. — Понимание принципов работы REST API, авторизации (JWT), обработки ошибок, идемпотентности (для платежных сценариев). — Опыт работы с CI/CD, Git, системами сборки (Webpack, Vite). — Понимание принципов чистого кода, SOLID, паттернов проектирования. — Знание методологий гибкой разработки (Scrum, Kanban). — Опыт коммерческой разработки на React от 5 лет, из них не менее 2 лет в роли Senior. — Опыт проектирования архитектуры SPA-приложений высокой сложности (множество зависимостей, ролей и сценариев). — Навыки адаптивной, кроссбраузерной и мобильной вёрстки (HTML5, CSS3, SCSS). — Умение работать с дизайн-системами, коллекциями компонентов (Untitled UI React, shadcn/ui), опыт ведения UI-kit в Storybook. — Опыт написания тестов (Jest, Vitest, React Testing Library). — Навыки проведения code review и менторства. — Системное мышление, умение упрощать сложные системы, критическое мышление. Будет плюсом: — Опыт работы в финтехе или highload-проектах. — Наличие портфолио / ссылок на GitHub или участие в open-source проектах. Условия: — Полностью удаленный формат работы. — Встречи и корпоративные мероприятия в офисе Москва/Вологда. — Окладная часть + KPI. — Возможность влиять на архитектуру и выбирать технологии. — Работа в сильной команде, поддержка профессионального роста. — Интересные задачи в быстрорастущем проекте.

Location: Remote, Canada; Remote, United States 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 As Director of Engineering, Database Excellence, you will lead the Database Excellence stage and report to the Vice President of Data Engineering, in our Engineering department. You will set the direction for the databases that support GitLab.com, self-managed GitLab, and GitLab Dedicated. Your organization owns the reliability, capacity, health, and sustainability of GitLab's application datastores, with PostgreSQL as the primary focus alongside Redis, OpenSearch, ClickHouse, and object storage. You will be accountable for database capacity and availability on GitLab.com. You will guide long-range platform decisions while partnering with Infrastructure, Product, Distribution, Support, Security, and FinOps. The work includes reducing infrastructure costs, improving data growth controls and saturation detection, standardizing database services, rebuilding the self-managed upgrade experience, and contributing to GitLab's company-wide datastore strategy, including Cells partitioning. Learn more in the Database Excellence handbook . What you’ll do Set direction and long-range plans for the database platform in line with company strategy. Own database capacity and availability outcomes for GitLab.com, and communicate database risk to senior leadership. Lead and coach three Engineering Managers and develop Staff-plus engineers into leaders. Drive cross-division technical decisions using data, partnering with Infrastructure, Product, Distribution, Support, Security, and FinOps. Partner with Product to prioritize database platform investments and make infrastructure tradeoffs in the context of product outcomes. Own the hiring plan, organization design, retention, and performance management for teams across regions. Set quarterly objectives and key results and engineering key performance indicators for the stage, and manage the database infrastructure budget with FinOps. Serve as an escalation point for database incidents, standardize effective processes, and keep the handbook current. Take part in on-call or operational support where your team’s ownership model requires it. What you’ll bring Experience leading managers of managers, including coaching newer managers. Experience working hands-on with PostgreSQL at scale, including capacity planning, upgrades, replication, performance, and large production clusters. Experience using data to make strategic technical decisions and connect database platform investments and tradeoffs with product outcomes. Experience supporting software that customers run themselves, or working through the self-managed upgrade challenge. Experience leading backend engineering teams that own production infrastructure, applying site reliability engineering practices including service level objectives, on-call operations, incident management, cost management, and automation. Experience communicating clearly in writing in an asynchronous, handbook-first company. Experience leading globally distributed remote teams. Experience with Redis, ClickHouse, OpenSearch, object storage, Google Cloud Platform, Kubernetes, Terraform, Chef, managed database services, FinOps, AI-assisted engineering workflows, or platform and infrastructure organizations is a plus. About the team Database Excellence includes Database Architecture, Database Automation, and Self Managed Database. Three Engineering Managers lead these teams, alongside an Operations Manager. Our teams work across the United States, Europe, the Middle East, Africa, and India. Database Architecture provides datastore guidance, data growth controls, and the database review process. Database Automation builds PostgreSQL fleet automation, upgrades, provisioning, health monitoring, and an internal managed PostgreSQL offering. Self Managed Database is rebuilding the upgrade and migration experience for self-managed GitLab. Together, we make database services more reliable, sustainable, and easier to operate across GitLab's deployment models. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. 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. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $230,400 — $345,600 USD 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 .

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Ads powers Reddit’s mission to bring community, belonging, and empowerment to everyone in the world. The Advertiser Platform organization owns ads.reddit.com, Reddit’s core advertiser-facing product. We’re looking for a mid-level frontend engineer to join our Ads Manager team. Our team includes frontend and backend engineers who build tools that help advertisers create and manage campaigns at scale. We make complex advertising workflows easier to use, with a focus on performance and reliability. In this role, you’ll own medium-sized frontend projects. You’ll help clarify requirements, propose technical solutions, and carry your work through implementation and release. You’ll make progress independently, collaborate with teammates on tradeoffs, and ask for input when you need it. Responsibilities Build intuitive, accessible interfaces that help advertisers create and manage campaigns. Partner with product managers, designers, and backend engineers to turn advertiser needs into scoped projects. Own technical design, implementation, testing, and release for medium-sized frontend projects. Communicate progress, dependencies, and risks early so partners can plan around them. Review code and document technical decisions to help the team maintain and extend its work. Improve frontend performance and reliability, address bugs, and contribute reusable components and patterns. Requirements 3+ years of software engineering experience, including 2+ years in frontend engineering. Experience building and maintaining production web applications. Ability to break down a project, evaluate technical tradeoffs, and deliver a solution independently. Clear communication and a collaborative approach to problem-solving. Experience writing maintainable code, testing your work, and participating in code reviews. Preferred qualifications Experience building advertising products, creative tools, or design systems. Experience partnering directly with product managers and designers. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k Match Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Reddit Global Days Off Generous paid Parental Leave Paid Volunteer time off #li-remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $164,200 — $229,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Colombia, Huila, Colombia; São Paulo, Brazil About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Engineering Manager, (Technical Team Lead) Location: Remote, Brazil, Colombia, Argentina Status: Full-time Role Overview As a Engineering Manager (Technical Team Lead) at Turing, you will be a pivotal part of our engineering leadership for AI initiatives. This is not a pure people management role. You will be expected to be hands on: able to operate on the data, organize the stack, set up infrastructure, and personally deliver a project if no one else is available. You will lead a team through a rapid iteration, startup paced environment with high expectations and short timelines, while also driving the technical vision and execution of complex projects. The ideal candidate is someone who takes ownership beyond what their role technically requires, has a track record of delivering under pressure, and is excited by the intensity of a startup environment rather than looking for a more comfortable, longer timescale management track. Key Responsibilities Hands On Technical Ownership: Operate directly on data, organize the technical stack, and set up infrastructure as needed. Be the technical fallback who can personally deliver a project if no one else is online to do it. Guide the team in architecture, design, and implementation of scalable, maintainable codebases. Build and use AI agents, and review the team's agent based work, since this role requires evaluating agent output directly rather than only reviewing human written code. Prompt Generation and Innovation: Lead innovation efforts in product features and processes. Manage idea and prompt collection and prioritization. Drive experimentation and iteration for optimal outcomes. Work Stream Assignment Across Pods: Allocate projects based on skills and performance. Prioritize tasks to meet business goals. Coordinate with cross functional teams for project alignment. Team Throughput and Task Completion: Monitor progress using metrics like velocity and cycle time. Optimize development processes for efficiency. Ensure tasks meet quality standards before deployment. Spot Reviews on Tasks: Perform quality control through task reviews. Provide actionable feedback to maintain high standards. Identify risks early and adjust processes accordingly. Identifying High and Low Performers: Conduct performance analysis through reviews and metrics. Provide mentorship, feedback, and talent management. Identify high performers for advanced roles and support development for others. People and Project Leadership Under Pressure: Lead teams through urgent, high pressure delivery schedules, not just steady state work. Push delivery timelines in a rapid iteration startup context while maintaining quality. Take direct ownership of outcomes, including being responsive when urgent needs arise. Technical Skills Expert level, hands on experience in Node.js, with React and NestJS specifically, including a deep understanding of their ecosystems, libraries, and best practices. Experience with Infrastructure as Code (IaC) and GCP, including setting up and operating cloud infrastructure directly. Ability to build and use AI agents, with enough fluency to review and evaluate a team's agent built work. Experience leading projects that leverage Python for data analysis, backend development, or AI and ML applications, as well as JavaScript and TypeScript for front end and full stack development. Proficiency in data analysis techniques, including statistical analysis, data visualization, and data manipulation using tools like Pandas, NumPy, and SQL. Strong focus on data quality, including data validation, cleansing, and enrichment. Qualifications Bachelor's or Master's degree in Computer Science, AI, Data Science, Data Engineering, or a related field. Electrical engineering backgrounds are acceptable. AI or data science background is a meaningful plus (helps significantly) but not a dealbreaker if diligence and ownership are evident elsewhere. 5+ years of experience in software development. At least 2 years in a leadership role is the bar for an Engineering Manager managing teams of 3 to 6. For this Senior Engineering Manager (Technical Team Lead) role, candidates should have experience managing meaningfully larger teams than that, not just the 5 to 6 person threshold. Proven track record of leading teams through urgent, complicated technical work, ideally in a startup setting, and delivering on time or ahead of time. Demonstrated ownership that exceeds role expectations: a history of taking on more than the job required, high personal output, and strong initiative. Strong problem solving skills, with a focus on delivering results in a fast paced, dynamic environment. Excellent communication and interpersonal skills, with the ability to collaborate effectively across cross functional teams. What Success Looks Like You are the kind of leader who is excited to do this work. You know it will be intense, that you'll manage a lot of people, process, and technology at once, and you welcome it. You have taken on something genuinely hard, led people through it, and can clearly explain what made it difficult and how you delivered — a truly hard technical milestone, reached in a leadership setting, that you're proud of. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: AZ_Mesa_HQ Who we are… Verra Mobility is a global leader in smart mobility. Verra Mobility Commercial Services creates smart roadways, serving the world's largest commercial fleets and rental car companies to manage tolling transactions and violations for more than 8.5 million vehicles. Verra Mobility is a leading provider of connected systems, processing nearly 165 million transactions each year through connectivity with more than 50 individual tolling authorities and more than 400 issuing authorities. Arizona-based Verra Mobility Corp. currently operates in 15 countries and in 22 languages. The company is constantly looking toward the future, ensuring it creates relevant solutions today that will work tomorrow. Seeking to understand new customers, regions, and businesses that will shape tomorrow’s smart mobility experiences, Verra Mobility strives to ensure more people around the world reach their destination safely and easily. Keeping its core principles front and center, Verra Mobility is fueled by relationships, driven by impact, guided by what’s right, and energized by what’s next. Culture Verra Mobility Corporation is a rapidly growing, entrepreneurial company that operates with a people-first philosophy and approach. The company lives by its core values—Do What’s Right, Lead with Grace, Win Together, and Own It—in everything it does for its customers and team members. The company seeks to grow aggressively, both organically and through acquisition, to continue to be the undisputed market leader with these five core competencies: bias for action, customer focus, teamwork, drive for results, and commitment to excellence. Position Overview: Verra Mobility is seeking an experienced Senior Quality Assurance Engineer to ensure end-to-end quality of modern cloud-based and legacy enterprise applications through a combination of test design, manual testing, exploratory testing, and automated testing.  The ideal candidate will have strong hands-on experience with Playwright, Selenium, TypeScript, C#, API testing, microservices testing, and micro frontends testing. This role requires the ability to analyze requirements, design comprehensive test scenarios and test cases, determine what should be automated versus manually tested, execute hands-on testing when appropriate, leverage AI-assisted testing/code-generation tools, and mentor other testers. Essential Responsibilities: Analyze business requirements, user stories, acceptance criteria, technical designs, and system integrations to identify test scenarios, risks, dependencies, and coverage needs. Create and maintain comprehensive test scenarios, test cases, test data, traceability, and regression test suites covering positive, negative, boundary, exception, integration, and end-to-end business scenarios. Perform hands-on functional, exploratory, integration, regression, end-to-end, and production-validation testing where manual testing provides appropriate value. Partner with Product Managers, Tech Leads, Developers, Architects, and QA team members early in the SDLC to understand requirements, acceptance criteria, architecture, integrations, risks, and testability. Determine the appropriate testing approach for each capability, including what should be automated, what should remain manual, and the appropriate testing layer. Design, develop, and maintain automated UI, API, integration, and end-to-end tests using Playwright, Selenium, TypeScript, and related technologies. Build reusable, scalable, and maintainable automation frameworks, components, fixtures, utilities, and test-data capabilities using sound software engineering principles. Test modern applications built with React, micro frontends, C#/.NET APIs, microservices, and cloud technologies, as well as legacy applications built with .NET Framework and ASP.NET . Integrate automated tests into CI/CD pipelines and establish appropriate quality gates and automated feedback during development and deployment. Design automation that supports parallel execution, cross-browser testing, test-data management, environment configuration, retries where appropriate, and reliable unattended execution. Analyze escaped production defects and recurring issues to identify requirements gaps, test coverage gaps, automation opportunities, and preventive improvements. Effectively use generative AI/code-generation tools for requirement analysis, test scenario/test-case generation, automation development, test-data generation, debugging, defect analysis, documentation, and automation code review, while validating AI-generated outputs. Qualifications: Bachelor’s degree in Computer Science, Information Technology, or Engineering (or equivalent experience). 8+ years of software testing/quality engineering experience, including significant hands-on automation experience. Proven ability to independently analyze requirements and create comprehensive, high-quality test scenarios and test cases. Strong hands-on experience performing both manual/exploratory testing and automated testing. Experience testing modern applications involving React, APIs, microservices, distributed systems, and cloud technologies. Excellent communication (written & verbal), knowledge sharing, analytical, debugging, problem-solving, collaboration, and ownership skills. Experience within team environments and Agile project methodologies is a must. Technical Expertise: Strong hands-on expertise with Playwright, Selenium WebDriver, TypeScript/JavaScript, reusable automation frameworks, test fixtures, assertions, test-data management, parallel execution, and cross-browser testing. Strong ability to analyze requirements and independently create and execute functional, exploratory, regression, integration, negative, boundary, exception, and end-to-end test scenarios and test cases. Strong experience testing REST APIs, JSON/HTTP services, microservices, backend integrations, databases, and asynchronous/event-driven workflows. Working knowledge of C#, .NET/.NET Core, ASP.NET Core, React, microservices, micro frontends, REST APIs, and legacy .NET Framework/ ASP.NET applications. Strong SQL/SQL Server skills for test-data preparation, backend validation, reconciliation, and defect investigation. Ability to develop maintainable automation using SOLID principles, object-oriented concepts, separation of concerns, reusable components, clean code, and appropriate design patterns. Experience with cloud platforms, preferably Azure, and CI/CD technologies such as Azure DevOps, including automated execution, pipelines, environments, reporting, logging, and troubleshooting. Strong knowledge of risk-based testing, test pyramid, shift-left testing, regression strategy, defect management, root-cause analysis, traceability, test coverage, release readiness, and continuous quality improvement. Strong ability to leverage generative AI tools to accelerate requirement analysis, test design, automation development, test-data generation, debugging, code review, and documentation without compromising engineering judgment or quality. Aligned with Verra Mobility Values: Do What’s Right – We’re committed to doing the right thing for each other and for our customers – integrity is our DNA. Lead With Grace – We embrace the importance of our colleagues and customers and always treat them with kindness and grace. Own It – We foster a culture of accountability and excellence, where going the extra mile is standard practice. Win Together – We are ambitious and like to win, but we know we win more when we include others and work together. Verra Mobility Values An ideal candidate for this role naturally works in alignment with the Verra Mobility Core Values: Own It. We focus on high performance and drive toward breakthrough outcomes. Our employees ensure accountability, optimize and align work, focus on the customer, and cultivate innovation. Do What’s Right. We champion integrity and good character. Our team members model ethical behavior, demonstrate good judgment and are courageous. Choose Courage Over Comfort. We lean into the conversations, decisions and actions that move the business forward, even when they feel uncomfortable. We challenge assumptions, address issues early and prioritize progress over ease. Win Together. We believe in growing and inspiring people together. We seek people who collaborate, value differences, think and act globally, foster an engaging work environment, and recognize and develop others. With your explicit consent which you provided as part of the application process, we will retain candidate personal data solely for the business purpose for which it was collected. In no event will we retain such data more than two (2) years following the closure of the recruitment process relating to the role for which you applied or in the event other related job opportunities arise within the company. Verra Mobility Applicant Privacy Notice Verra Mobility is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. .

Задачи: — Ручное тестирование frontend и backend — Разработка и актуализация тестерской документации — Регрессионное и исследовательское тестирование — Документирование багов в баг-трекинговой системе — Понимание сетевых протоколов HTTP и инструментов работы с ними — Понимание JSON и REST — Взаимодействие с командой тестирования, разработки, Лидом и аналитиком Требования: — Умение аргументированно отстаивать качество продукта и предлагать улучшения — Гибкость и умение адаптироваться к изменениям требований и процессов — Уверенное знание специфики и опыт работы с JSON — Глубокие навыки тестирования API (REST) — Опыт работы с логами (Grafana, Kibana, Sentry) Условия: — full-time — Гибкое начало рабочего дня — Бесплатные корпоративные завтраки и обеды — Рабочее место оборудовано современной техникой с учетом пожеланий — Отсутствие бюрократии, оперативное решение вопросов — Компенсация оплаты занятий по английскому языку в размере 50% — Большая высококвалифицированная команда

Location: San Francisco, CA Workplace: Hybrid About Niantic Spatial We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Real-World Test Lab Physical AI doesn't get graded on a leaderboard. It gets graded on a factory floor at shift change, in a substation with no GPS, on a site where the lighting is wrong and the stakes are real. The Real-World Test Lab closes the gap between the benchmark and the field. We bring the customer's world inside our walls - their devices, their environments, their hardest conditions, and their definition of success - and make it the bar every release has to clear. As Niantic Spatial's first and most demanding customer, we push our reconstruction, localization, and spatial understanding to their limits, find where they shine and where they break, and turn that into evidence that shapes what we build next. It's a new team at the frontier of physical AI, and you'll help invent how the job is done. About the Role We're hiring an AI Automation Engineer, reporting to the Director of the Real-World Test Lab, to build the system that produces our evidence. Today our evaluations are manual, inconsistent, and slow. You'll design and own the automation that runs them end to end on every relevant release, with no human driving it, turning one-off experiments into an always-on service the whole company relies on. This role is about owning the evidence, not executing a test plan. You'll decide how each workflow gets exercised, and you'll be measured on whether the company can trust the results, not on how much automation exists. The work counts when it keeps running correctly months later, without you in the loop. You believe evaluation is engineering, not process. You've built systems that test other systems, and you know the difference between a script that works on your laptop and infrastructure a team can trust. When a result couldn't be reproduced, you fixed the tooling instead of arguing about the number. What You'll Do - Build the Evaluation Machine - Own the automation that executes Lab evaluations end to end: environment setup, run orchestration, artifact capture, and result collection. Make reruns free so we test constantly rather than occasionally. - Make Results Comparable - Instrument scorecards so a result can be compared across product versions, devices, and capture conditions. A number without its lineage is not evidence. - Automate the Agent-Driven Layer - Build the agent workflows that exercise priority customer use cases at realistic scale, across the graded difficulty spectrum from easy to frontier, and be honest about where agents cannot yet replace human judgment. - Kill Manual Work Permanently - Convert one-off experiments into standing protocols that run on every relevant release. Automate recurring inspection wherever it can be automated, and route what genuinely cannot to scalable human review. - Make Failures Actionable - Produce diagnostics precise enough that a finding reaches its owner with a reproducible case and data attached. Findings that need re-investigation before anyone can act on them are half-finished. - Keep Data From Being the Bottleneck - Work with the AI Data Manager so every run is reproducible from a known dataset state, without anyone downloading and re-uploading data by hand. What Success Looks Like - 30 days: One priority workflow evaluated end to end with no manual steps, with results in a comparable scorecard. - 60 days: Evaluations trigger automatically on relevant releases, with diagnostics that route failures to the right owners. - 90 days: Three priority workflows under standing automated evaluation, with version-over-version comparison for leadership. What You'll Bring - Built and maintained production-grade automation or test infrastructure that other engineers relied on daily. - Experience evaluating systems where correctness is graded rather than binary, meaning quality, accuracy, or latency thresholds rather than pass/fail assertions. - Strong Python, with fluency in orchestration, CI-style pipelines, cloud storage, and reproducible environments. - Worked with backend services and APIs you did not own, integrating against them without becoming a bottleneck for their team. - Written up a technical finding clearly enough that a non-author could act on it without a meeting. - A bachelor's degree in a relevant field, or equivalent experience. Nice to Have - Built agent-based or LLM-driven automation for a task that previously required human judgment. - Worked on evaluation or benchmarking for computer vision, 3D reconstruction, or spatial systems. - Instrumented dashboards or scorecards that leadership used for release decisions. - Operated data provisioning or registry infrastructure across multiple environments and access models. Competencies - Intellectually honest. You design tests that produce answers people can trust, and you refuse to let a benchmark imply more than the evidence supports — including when the honest answer is inconvenient for your own work. - Pragmatic. You find the fastest path to a defensible result without going through one-way doors that undermine scaling. You have no patience for building infrastructure nobody has asked for yet. - AI-forward by instinct. You reach for agents and LLM-driven automation before you reach for headcount, and you're rigorous about verifying what they produce. - Builds for other people. You've maintained something after the initial excitement wore off. Your tooling is documented, your failures are legible, and colleagues use what you build without asking you to run it for them. Compensation & Benefits Base salary range of $158,400 to $210,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. Location & Work Model This role is based in our San Francisco office, with three days per week in office. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: Athens The Wow As a Tech Lead at Betsson Group, your primary responsibilities will be geared towards driving technical excellence in our products. You will serve as a bridge between the domain architect(s) and engineering teams, facilitating technical design, decisions and delivery. Being a technical expert, you will actively support our managers in building world class engineering teams. This is a hands-on role, where you will have frequent opportunities to research new technologies, lead technical investigations and develop POCs for new ideas, and will actively participate in key technical initiatives A taster of what you will be involved with: Your main goal is ultimately to drive technical excellence in the domain - in particular towards improving stability, performance, code quality, and development efficiency. To this end, you will be expected to: Identify and champion technical improvements for consideration in the roadmap, ensuring the benefits are clear and understood. Work closely with architects to ensure that the architectural direction and standards are being communicated, aligned & implemented within the teams. Develop and maintain a strong understanding of our business and products. Take the lead on technical design decisions, whilst ensuring alignment with the domain architect(s). Take an active, hands-on role with important technical initiatives and issues. Support new product development by producing POCs and/or documented technical designs. Research new technologies and assessing their potential application. Review major changes to ensure they are up to standard. Serve as a key technical point of contact for the domain, collaborating with product, architecture and engineering colleagues across the organisation. Help build our world class teams, thus participating in technical interviews and providing technical feedback on people, as well as coaching & mentoring engineers. Participate in team ceremonies such as planning, refinement, etc... to keep up to date on ongoing works and upcoming plans. Lead technical trainings to share knowledge and improve technical expertise within the teams. What we are looking for A strong technical background in software engineering for web applications. Highly knowledgeable and experienced with TypeScript / JavaScript and Web Markup (CSS3/HTML5). A deep understanding of Observable technologies (preference for RxJS / Signals). Highly knowledgeable and experienced with modern agile software development practices, GIT based projects, and CI/CD. Knowledge about web component frameworks (ex. StencilJS) Highly experienced and comfortable working with large scale applications, including: SDK & FE components architecture, modularisation, efficient application bundling, unit testing, and integrating with backend APIs. Expertise in delivering highly performant web solutions on an international scale, with preference given to implementing SSR mechanisms and optimising content delivery with CDNs, caching, and other solutions surrounding front-end applications. Possess demonstrated working experience in defining and documenting technical solutions around front-end architecture and its integration with backend services. Ability to efficiently review PRs and provide constructive feedback. Experienced and passionate about coaching and mentoring people, preferably having done so in a similar role. Communicates clearly and confidently with the engineering team, whether running training or knowledge transfer sessions, walking through requirements, or presenting technical designs Communicates effectively upwards with Architects and the Head of Engineering, presenting technical proposals, trade offs and risks with clarity and sound reasoning Is approachable and open, someone the team feels comfortable going to for guidance or support. A strong team player who builds trust, shares knowledge willingly and contributes to a collaborative team culture Great if you have Prior experience working with custom UI design system frameworks. A good understanding of front-end data tracking through Google Analytics / Google Tag Manager. A good understanding of AI Tooling and AIDLC practices. Helps driving AI Tooling adoption within the team in a responsible manner, building confidence and good habits. Applying sound judgement to AI generated output, ensuring code quality and security is never compromised. Working experience with geographically distributed teams. What we offer Monthly Allowance for Lunch Private & Life Plan Insurance for you and your family Team Building Budget Annual Wellness Allowance Corporate Travel Insurance Events and initiatives both Local (Quarterly Meetings) and Global Professional Development Programs & Internal Career Opportunities Milestone Birthday Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1900 strong, spread across 7 offices! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and always striving to push the boundaries and challenge yourself, then you’ll fit right in. We offer numerous challenges where your skills will be put to good use! We encourage innovation, independence and celebrate success where you will be part of multi-cultural and diverse company, with people from all over the world. Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy