Вакансии

Location: Berlin, Germany; Frankfurt, Germany; Munich, Germany About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities We are looking for a hands-on Engineering Manager to lead a team building core internal infrastructure and developer-facing systems. This role sits at the intersection of project management, engineering leadership, and platform development. The team (Evaluation Engines / Data processing engines) owns foundational components which are embedded into higher level workflow engines and tools. Examples are formula evaluation, data transformation according to predefined mapping, decision models, etc. The team is technically strong and highly autonomous. We are looking for an Engineering Manager who can operate effectively in this environment: someone with a strong engineering background who understands complex systems, but does not need to be the deepest technical expert in every area. Your role will be to help experienced engineers work effectively together, create clarity across interconnected initiatives, and improve how the team plans, collaborates, and delivers. What You’ll Do Lead a strong engineering team You will manage and develop experienced engineers with significant ownership of their technical domains. The team is mostly Rust engineers, however they also build libraries for several other programming languages: Go, Ruby, Java, Python, and WASM. You will be responsible for regular 1:1s, feedback, performance management, career development, hiring, onboarding, and team health. We expect you to create an environment where engineers can remain highly autonomous while having clear priorities, ownership, and accountability. You will be responsible for team capacity planning and hiring when needed. Build strong product You will be working closely with Product Managers and department VP to define how the products look, what to build and in which order, what new exciting features we can bring to our customers. As this area is highly technical and speaks Computer Science terms at times, Product Managers will greatly rely on your and your team expertise to make decisions. You will be responsible for working with Quality Engineering and Product Security teams to deliver high-quality products. At the same time in this AI era we expect you to embrace new tools to shift quality and security scans left. Drive planning and execution The team owns several interconnected technical areas, often developed across separate repositories and involving dependencies between engineers and projects. You will: Own planning and operational execution across multiple engineering workstreams. Create visibility into priorities, dependencies, timelines, and resource allocation. Help the team turn broad technical direction into an executable roadmap. Identify and remove blockers before they significantly impact delivery. Balance new development, customer commitments, operational work, and technical debt. Define meaningful engineering metrics and use them to identify opportunities for improvement. Keep stakeholders informed about progress, risks, and trade-offs. Plan release and update cycles of the product. Maintain the product, be responsible for defects triaging and mitigation. Stay close to technology This is strictly not a purely people-management role. Technical background and experience is a must. We don't expect you to be a fluent Rust developer, we in fact are not expecting you to know Rust at all. But you should be comfortable participating in technical discussions, reviewing designs and architecture proposals, understanding engineering trade-offs, and challenging assumptions when needed. You should have a wide industry knowledge, and understand the pros and cons of different programming languages and platforms. Depending on your background and interests, you may also review code, contribute to tooling or prototypes, participate in incident investigation, or use automation and AI-assisted development to improve engineering workflows. At the same time, we do not expect the Engineering Manager to make every technical decision. Senior engineers (your team will contain a mix of engineers up to Staff and Architect levels) own significant parts of the technical direction, and a key part of the role is enabling them to do that effectively. What We’re Looking For We are looking for someone with: Significant software engineering experience before or alongside engineering management. Experience managing senior, autonomous engineers. A strong background in platform engineering, developer infrastructure, developer productivity, backend infrastructure, or distributed systems. Experience with CI/CD, release engineering, developer tooling, or internal engineering platforms. Experience owning roadmaps and delivering multi-quarter engineering initiatives. Strong understanding of software development lifecycle and engineering practices. Experience managing technical debt alongside product and business priorities. Ability to understand complex technical discussions without needing to personally own every implementation decision. Strong stakeholder management and cross-functional communication skills. Experience hiring, coaching, and developing engineers. A pragmatic approach to engineering processes: enough structure to make teams effective, without unnecessary bureaucracy. What Makes Someone Successful in This Role You are comfortable joining a team where engineers may understand individual systems more deeply than you do. Instead of trying to become the technical owner of every component, you ask the right questions, understand trade-offs, create clarity, and help engineers make good decisions together. You enjoy finding problems in the engineering system itself: unclear ownership, slow reviews, hidden dependencies, fragmented tooling, competing priorities, or processes that depend too heavily on individuals pushing things forward. You can move between a conversation about architecture or CI pipelines, a 1:1 with an engineer, roadmap prioritization with Product, and a discussion about why delivery is taking longer than expected. You are comfortable aligning your team roadmap with requirements from Product Managers, and from Engineering leadership, which may be different, and working with different stakeholders in general. Most importantly, you combine technical credibility with strong people and execution leadership. Nice to Have Experience with some of the following would be particularly relevant: Golang or Rust; understanding of WASM platform. Basic understanding of formal grammar, AST, compiler frontends. Observability and operational tooling. Open-source development. AI-assisted software development and automated code review. PostgreSQL or database infrastructure. Kubernetes, Docker, Terraform, or cloud infrastructure. Multi-repository development environments. Developer-facing APIs, SDKs, libraries, or integrations. (REQ ID: 2582)

Задачи: — Разработка AI агентов, которые выполняют рабочие процессы, а не только чат-интерфейсы. — Работа с агентами, которые подключаются к API и внутренним системам, используют инструменты, извлекают контекст, принимают решения на нескольких шагах и восстанавливаются при ошибках. Требования: — Опыт разработки на Python и бекенд инженерия. — Опыт работы с LLM API и агентными системами в продакшене. — Знание LangGraph, LangChain, LlamaIndex или аналогичных технологий. — Опыт работы с вызовом функций/инструментов и структурированными выводами. — Знание RAG, embeddings, векторного поиска и управления контекстом. — Опыт работы с состоянием агента, памятью, маршрутизацией, повторными попытками и логикой резервного копирования. — Интеграция с API и событийно-ориентированные рабочие процессы. — Оценка, трассировка и отладка LLM. — Опыт работы с Docker, Kubernetes, CI/CD и AWS. — Преимуществом является опыт с мультиагентной оркестрацией, MCP, human-in-the-loop рабочими процессами или мониторингом агентов в продакшене. Условия: — Удалённая работа. — Полная занятость или контракт. Это практическая инженерная роль с ответственностью за дизайн агента, реализацию, оценку, деплой и надёжность в продакшене.

Задачи: — Исследовать и решать технические и продуктовые проблемы — Анализировать логи, поведение приложений и подключение — Использовать SQL для устранения неполадок и расследований — Обрабатывать заявки и чаты поддержки от запроса до решения — Воспроизводить проблемы и работать с техническими командами по эскалациям — Поддерживать документацию и передачу смен Требования: — Опыт технической поддержки не менее 2 лет — Практический опыт устранения неполадок — Понимание TCP/IP и DNS — Практические навыки работы с SQL — Способность самостоятельно расследовать проблемы и брать ответственность — Хорошее владение английским для работы с заявками, чатами и командным общением Плюсом будет: Опыт в финтехе, брокерских или торговых платформах, а также интеграциях API, FIX, ликвидити-бриджах, скриптинге, инструментах AI для устранения неполадок или MT4/MT5. Условия: — Офис в Лимассоле, Кипр — Ротационные смены после обучения, покрытие 24/6 включая субботы

Задачи: — Разбирать и обрабатывать документы в форматах Excel, PDF и сканы — Извлекать табличные данные из документов — Нормализовать даты, номера документов, суммы и другие поля — Проектировать и реализовывать логику сопоставления данных — Выявлять расхождения между двумя источниками — Обрабатывать сложные кейсы: разные периоды, отличающиеся номера, частичные совпадения и другие неоднозначные ситуации — Интегрировать OCR и Document AI-инструменты — При необходимости использовать LLM для интерпретации и формирования человекочитаемых объяснений — Разрабатывать backend/API для сервиса — Участвовать в проектировании архитектуры MVP — Работать с реальными обезличенными финансовыми документами и тестировать качество решения на исторических данных Требования: — Коммерческий опыт разработки на Python от 3 лет — Уверенное владение Python — Опыт работы с pandas и табличными данными — Опыт обработки Excel / CSV — Опыт парсинга PDF — Опыт разработки backend-сервисов и REST API — Понимание алгоритмов сопоставления, нормализации и очистки данных — Умение проектировать решение самостоятельно, а не только работать по готовому ТЗ — Опыт работы с Git Будет плюсом: — Опыт с OCR: Tesseract, PaddleOCR или аналогами — Опыт с PyMuPDF, pdfplumber, Camelot, Tabula — Опыт с fuzzy matching — Опыт работы с Document AI / Intelligent Document Processing — Интеграция LLM API: OpenAI, Azure OpenAI, YandexGPT или аналогов — Опыт разработки систем reconciliation / data matching — Опыт работы с финансовыми, бухгалтерскими или другими структурированными документами — Опыт On-Premise решений — Опыт построения решений, где нужно сочетать детерминированную бизнес-логику и AI

Требования: — Диплом в области электронной или электротехнической инженерии либо в смежной области. — Опыт работы не менее шести месяцев в полупроводниковой отрасли, связанный с проектированием силиконовой упаковки или печатных плат (PCB).

Требования: — Высшее образование в области машиностроения, электротехники, электроники или аналогичной области. — Приглашаются как выпускники без опыта, так и с опытом работы.

Responsibilities: — Designing, deploying, configuring, and maintaining scalable monitoring, logging, and alerting platforms for production and beta/test/dev environments; — Operating Prometheus, Alertmanager, Grafana, Fluent Bit, Kafka, Fluentd, OpenSearch, and OpenSearch Dashboards, including upgrades, reliability, availability, capacity, and retention planning; — Building and maintaining reliable metrics and log collection pipelines for infrastructure and business-critical services; — Creating dashboards that provide clear, useful visibility into service health, performance, capacity, and operational risks; — Designing, tuning, and maintaining actionable alert rules and notification routing; reducing alert noise and improving incident response; — Monitoring infrastructure and application metrics and logs, troubleshooting issues, and improving stability and performance under heavy loads; — Managing metric cardinality, log volume, retention, storage consumption, and query performance to keep observability platforms scalable and cost-effective; — Establishing high-availability and recovery approaches for observability services and validating operational readiness; Requirements: — Minimum 3 years of experience with administering Linux systems and operating monitoring, logging, or observability systems; — Experience with Debian-based systems; — Experience with Docker and Kubernetes; — Hands-on experience with Prometheus, Alertmanager, and Grafana, including metric collection, alert rules, routing, and dashboards; experience with VictoriaMetrics would be a plus; — Experience with Fluent Bit, Kafka, Fluentd, OpenSearch, and OpenSearch Dashboards for log collection, transport, processing, storage, search, and visualization; — Understanding of metrics and log pipeline design, including reliability, scalability, data retention, capacity planning, and cardinality management; — Experience designing actionable alerts, reducing alert noise, and troubleshooting infrastructure and application issues using metrics and logs; — Proficiency in shell command line usage, scripting, and automation tools like Ansible/Terraform; — Python and bash scripting skills.

Задачи: — разработка multi-agent систем (MAS) для Deep Research задач — создание LLM-агентов с использованием tool calling, planning и reasoning — проектирование и развитие RAG-архитектуры включая поверх коллекции из 850+ млн документов — разработка и поддержка knowledge graph для аналитических и исследовательских сценариев — оптимизация LLM inference (latency, throughput, batching, KV cache) — подготовка и оптимизация моделей для production — разработка воспроизводимых ML pipelines и инфраструктуры экспериментов — внедрение и эксплуатация AI / ML сервисов в production Требования: — 3+ лет опыта реализации проектов в Machine Learning / AI — знание паттерной архитектуры и системного дизайна — уверенное владение Python — опыт разработки систем на базе LLM — опыт построения RAG систем или AI-агентов — опыт вывода ML/AI сервисов в production — понимание архитектуры ML pipelines и инженерного подхода Условия: — участие в развитии одной из крупнейших аналитических платформ научных данных — работа с современными LLM и AI-архитектурами — сильная исследовательская и инженерная команда — гибкий график (начало рабочего дня с 8:00 до 11:00) — гибридный формат работы (возможна удалёнка) — обучение и курсы НИУ ВШЭ, английский язык — доступ к библиотеке НИУ ВШЭ и образовательным ресурсам — софинансирование ДМС — программы лояльности фитнес-клубов и театров — офис на Мясницкой (м. Лубянка / м. Тургеневская)

В компании 2ГИС формируется новая корпоративная дата-платформа, целью которой является создание стандартизированного решения для работы с данными, объединяющего лучшие наработки и отказ от устаревших технологий. В рамках этой задачи предстоит разработать MVP платформы и инфраструктуру для загрузки и трансформации данных, а также перенести существующие пайплайны с Hadoop/HDFS на современную архитектуру, включающую S3, Kafka, Spark и ClickHouse. Работа предполагает обработку больших объёмов данных и управление высоконагруженными Kafka-топиками, создание отказоустойчивых пайплайнов для обработки и доставки данных. Важной частью деятельности станет участие в архитектурных решениях, внедрение лучших практик по хранению, мониторингу и обеспечению качества данных, а также проектирование витрин данных для продуктовой и управленческой аналитики (OLAP). Кроме того, необходимо сопровождать миграцию BI-отчётов, таких как DataLens и Power BI, на новую платформу. Работа выполняется удалённо на полной занятости, условия оплаты обсуждаются на собеседовании.

Задачи: — Руководить кроссплатформенной командой, отвечающей за рендеринг изображений и воспроизведение видео в приложениях и вебе Pinterest. — Определять техническое направление команды и обеспечивать качество, производительность и надежность медиа-опыта. — Тесно сотрудничать с командами Media Transcoding, Performance, Data Science, Product и Infrastructure для улучшения доставки и восприятия медиа. — Вести инициативы по сокращению времени загрузки медиа, улучшению плавности воспроизведения и обеспечению высокого визуального качества в масштабе. — Руководить архитектурными решениями, балансируя между потребностями продукта, техническими инвестициями и долгосрочной поддерживаемостью. — Формировать и развивать высокоэффективную команду через найм, коучинг и развитие инженеров. — Повышать уровень инженерного мастерства через операционные практики, измерение производительности, тестирование и качество релизов. — Помогать Pinterest внедрять новые медиа-технологии и форматы для улучшения пользовательского опыта глобальной аудитории. Требования: — Опыт разработки ПО не менее 9 лет, включая глубокие знания iOS или Android и хорошее знакомство с веб-технологиями. — Опыт управления инженерными командами не менее 5 лет, включая сильные клиентские или платформенные команды. — Глубокое понимание производительности клиентских приложений, включая профилирование, инструментирование и оптимизацию. — Техническая экспертиза в области рендеринга медиа, доставки изображений, потокового видео и клиентской производительности. — Опыт работы с медиа-фреймворками, такими как AVFoundation и ExoPlayer. — Успешный опыт улучшения пользовательского опыта продукта, производительности систем или эффективности инженерии. — Способность вести работу на разных платформах и эффективно сотрудничать с кросс-функциональными партнерами. — Четкие коммуникативные навыки, сильное техническое суждение и ориентированный на людей стиль руководства. — Степень бакалавра или магистра в области компьютерных наук или эквивалентный практический опыт. Условия: — Работа в гибридном формате с необходимостью присутствия в офисе 2 раза в месяц. — Офисы расположены в Сан-Франциско или Пало-Альто, кандидат должен находиться в досягаемости. — Зарплатный диапазон от $208,592 до $429,454 в год. — Позиция не предусматривает помощь с релокацией. — Компания придерживается политики равных возможностей и инклюзивности.

Задачи: — Проектировать и поддерживать интеграцию источников данных (взаимодействие с процессинговыми системами и АБС); — Организовывать мониторинг актуальности входящих данных и оперативно реагировать на инциденты; — Готовить данные для загрузки в оговоренные форматы хранения (Data Lake / DWH) для потребления смежными командами; — Разрабатывать и оптимизировать витрины данных для BI-отчетности в Superset и PowerBI; — Проводить глубокую проверку качества данных (Data Quality), выявлять аномалии и устранять корневые причины ошибок; — Обеспечивать бесперебойную актуальность данных, нести ответственность за соблюдение SLA и быстрое восстановление при авариях. Требования: — Опыт работы в направлении финтех; — Отличное знание SQL (DDL/DML) в PostgreSQL и ClickHouse; — Отличные навыки оптимизации SQL-запросов и конфигурирования в PostgreSQL; — Отличные навыки работы с Python, опыт работы с асинхронными сервисами; — Опыт написания и поддержки DAG-ов в Airflow. Условия: — Работа над международными продуктами на стыке стартап-подхода и enterprise-надежности; — Гибридный формат работы в офисе в Казани; — Возможность релокации (обсуждается индивидуально).

В роли инженера по безопасности приложений в AIFC предстоит заниматься обеспечением защиты программных продуктов, выявлением и устранением уязвимостей, а также внедрением современных методов безопасности. Кандидат должен обладать глубокими знаниями в области информационной безопасности, владеть инструментами анализа кода и тестирования на проникновение, а также иметь опыт работы с технологиями, применяемыми в разработке и эксплуатации приложений. Важны навыки работы с системами контроля версий, понимание принципов безопасного программирования и способность сотрудничать с командами разработчиков для повышения уровня безопасности продуктов.

Location: Remote - Global Workplace: Remote About the company Trust Wallet is the secure, self-custody Web3 wallet that empowers people to own and control their digital assets. Whether you're new to crypto or an experienced user, Trust Wallet makes it easier, safer, and more convenient to explore Web3, securely access dApps, manage your crypto, and buy and sell digital assets, all in one place. About the Role We're looking for a Lead AI Engineer to own the backend and Agent systems behind our LLM-powered products. The role is end to end: you'll build the Agent workflows, define how we measure quality, keep them reliable in production, and shape where the product goes next. This role is for someone who has shipped LLM features to real users, stayed with them after launch, and can prove with data that their changes made things better. Job Scope: Build and own AI backend and Agent workflows - Design, build, and maintain multi-turn conversation systems, including context management, tool calling, knowledge retrieval (RAG), state management, and human handoff. Drive evaluation and continuous improvement - Define success criteria with Product, Design, and QA leads. - Turn production failures into evaluation samples and regression tests. - Measure the impact and side effects of every change before and after release. Diagnose problems across the stack - Isolate the root cause of failures: model judgment, knowledge gaps, abnormal tool responses, backend instability, or conflicting rules. - Apply the right fix for each cause rather than defaulting to prompt tweaks. Own production reliability - Handle timeouts, retries, graceful degradation, async jobs, and third-party dependency failures. - Make sure every issue is traceable through logs, every change is versioned, and every failure has a recovery path. Shape product and technical decisions - Give clear, reasoned positions on requirements, covering feasibility, cost, risk, and alternatives. - Propose better approaches and break work into phased, shippable deliverables. Communicate proactively and follow through - Share progress, blockers, ETAs, and next checkpoints without needing to be chased. - After launch, track real-world impact and leave clear documentation and handover materials. Requirements: - Production LLM/Agent experience at scale. You've built LLM or Agent features used by 10,000+ active users, and you've maintained and improved them after launch. - Strong backend engineering fundamentals. You're comfortable owning production code, APIs, data flows, and incident troubleshooting. Experience designing and implement backend services in Golang and integrate with LLMs and AI systems. - Real evaluation discipline. You've built evaluation sets, regression suites, and production monitoring, and you can explain how you confirmed an improvement was real rather than random fluctuation. - Ownership mindset. You make decisions, surface risks early, and don't consider a feature done until it's verified in production. - Web3 experience. Preferably 1 year of experience in a crypto, DeFi, or Web3 company (wallet, exchange, L1/L2 protocol, or DeFi platform strongly preferred) ADDITIONAL INFORMATION This is a global and fully remote role. You must have the right to work for the country you are based. WHY WORK AT TRUST WALLET? - Be a part of the world’s leading blockchain ecosystem that continues to grow. - Excellent learning and career development opportunities. - Work alongside diverse, world-class talent, in an environment where learning and growth opportunities are endless. - Tackle fast-paced, challenging and unique projects. - Work in a truly global organization, with international teams and a flat organizational structure. - Work fully remotely with flexible working hours. - Enjoy competitive salary and benefits. Apply today to join our team in building the world’s most trusted and secure crypto wallet and enable a decentralized future for everyone. Trust Wallet is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. *Due to the large amount of the applications, please consider your application as unsuccessful should you not be contacted within 4 weeks from your application date.

Location: Remote, Japan 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 a Senior Professional Services Engineer at GitLab, you'll work directly with customers to deliver installation, migration, training, and advisory services that help them adopt GitLab successfully. You'll lead engagements from single-node Omnibus installs to large reference architectures built with infrastructure as code (IaC) and configuration as code. You'll also guide migrations from other systems to GitLab SaaS or self-managed deployments, and help customers make practical decisions that improve reliability, security, and day-to-day workflows. In this role, you'll work closely with customers and GitLab's product and engineering teams to drive customer success and share feedback that improves GitLab and how we deliver services. You'll manage multiple projects at once, mentor other Professional Services Engineers, and help streamline how we deliver consistent outcomes in a remote, largely asynchronous environment. Some examples of our projects: Designing and delivering GitLab installations and reference architectures using tools like Terraform and Ansible across major cloud providers Leading migrations to GitLab SaaS or self-managed GitLab, and turning customer feedback into actionable improvements for GitLab's product and engineering teams What you’ll do Deliver GitLab Professional Services engagements, including installation, migration, training, and advisory services across GitLab capabilities. Plan and execute deployments ranging from single-node Omnibus installations to large reference architectures using Infrastructure as Code and Configuration as Code practices. Lead migrations from multiple source systems to GitLab SaaS or self-managed GitLab, helping customers adopt secure, reliable workflows. Partner with Engagement Managers and Project Managers to improve delivery consistency, remove friction, and continuously refine delivery processes. Serve as a trusted technical advisor for customers, translating goals and constraints into practical implementation plans and clear next steps. Interface with GitLab's product and engineering teams to unblock customer outcomes and share feedback that helps improve GitLab features and services. Mentor Associate and Intermediate Professional Services Engineers, providing technical guidance, helping remove blockers, and supporting increased autonomy. Manage and deliver multiple customer engagements at once, either as the primary engineer or as a lead providing oversight and direction to other engineers. What you’ll bring Professional exposure with one or more infrastructure as code or configuration as code technologies such as Terraform, Ansible, Packer, Puppet, or Chef. Professional exposure with two or more cloud providers such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure. Experience using, deploying, or configuring GitLab, including a solid understanding of Git and source control workflows. Experience delivering customer-facing services such as installation, migration, training, and advisory engagements across GitLab's feature set. Proven ability to independently manage one or more projects and to lead and provide direction to other Professional Services Engineers on complex engagements. Strong communication skills in English, written and verbal, with the ability to provide clear status updates and build consensus with peers and customers in a remote, largely asynchronous environment. Demonstrated ability to take a solution-oriented approach by identifying root causes, proposing options and tradeoffs, and driving issues to resolution while balancing multiple customer engagements in a fast-paced environment. Demonstrated ability to work effectively in a fully remote organization by communicating clearly in writing, documenting decisions, collaborating asynchronously across time zones, and working in ways consistent with GitLab's values. Must be located in Japan and have full working rights in Japan About the team Senior Professional Services Engineers are part of GitLab's Professional Services team. We partner closely with Engagement Managers and Project Managers to deliver consistent outcomes, and we work with GitLab's product and engineering teams to share customer feedback and improve GitLab. Professional Services operates in a fully remote and largely asynchronous environment, collaborating across regions and time zones. The team's challenge is to support customers with a wide range of architectures and deployment models while maintaining high-quality delivery and setting customers up for long-term success. 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: Sarajevo, Bosnia and Herzegovina D-ploy is an IT and Engineering Solutions company with operations across EMEA, including Switzerland, Germany, Czech Republic, Austria, the UK, and the USA. We deliver innovative IT services and solutions to industry-leading clients, focusing on reliability, efficiency, and long-term partnerships that enhance IT productivity and business value. We are currently looking for an IT Onsite Support Technician to support end-users in a professional and regulated environment in Sarajevo. Tasks and Responsibilities Provide first and second level IT support (hardware, software, mobile devices, and peripherals) Act as the primary onsite point of contact for end-user IT issues Troubleshoot incidents and service requests via ticketing system (ServiceNow) Deliver prompt and professional user support (desk-side and remote) Document all activities and resolutions accurately in the ticketing system Support IT onboarding for new employees (equipment setup, user guidance) Maintain and contribute to knowledge base documentation Support continuous service improvement initiatives Requirements Fluent English and Bosnian/Croatian/Serbian (written and spoken) Minimum 2+ years of experience in IT support / onsite support role Strong troubleshooting skills in Windows environment and standard IT tools Experience with ticketing systems (e.g., ServiceNow) Excellent communication and customer-oriented mindset Ability to work independently in an onsite client environment Well-organized, reliable, and detail-oriented Experience in regulated environments (e.g., GxP) is a plus Ability to provide a clean criminal record extract (not older than 3 months) Benefits Broad range of tasks and responsibilities Friendly and international working environment Professional development opportunities Referral program (“Fishing for Friends”) Company-sponsored events Is IT in your DNA? Join us and help deliver IT where it counts.

Location: Belgrade, Serbia D-ploy is an IT and Engineering Solutions company with operations across EMEA, including Switzerland, Germany, Czech Republic, Austria, the UK, and the USA. We deliver innovative IT services and solutions to industry-leading clients, focusing on reliability, efficiency, and long-term partnerships that enhance IT productivity and business value. We are currently looking for an IT Onsite Support Technician to support end-users in a professional and regulated environment in Sarajevo. Tasks and Responsibilities Provide first and second level IT support (hardware, software, mobile devices, and peripherals) Act as the primary onsite point of contact for end-user IT issues Troubleshoot incidents and service requests via ticketing system (ServiceNow) Deliver prompt and professional user support (desk-side and remote) Document all activities and resolutions accurately in the ticketing system Support IT onboarding for new employees (equipment setup, user guidance) Maintain and contribute to knowledge base documentation Support continuous service improvement initiatives Requirements Fluent English and Serbian/Bosnian/Croatian/ (written and spoken) Minimum 2+ years of experience in IT support / onsite support role Strong troubleshooting skills in Windows environment and standard IT tools Experience with ticketing systems (e.g., ServiceNow) Excellent communication and customer-oriented mindset Ability to work independently in an onsite client environment Well-organized, reliable, and detail-oriented Experience in regulated environments (e.g., GxP) is a plus Ability to provide a clean criminal record extract (not older than 3 months) Benefits Broad range of tasks and responsibilities Friendly and international working environment Professional development opportunities Referral program (“Fishing for Friends”) Company-sponsored events Is IT in your DNA? Join us and help deliver IT where it counts.

Location: Montreal, Canada 📍 Location: Montreal, Quebec, Canada 📄 Employment Type: Full-Time 🏢 Work Arrangement: On-site preferred; remote or hybrid may be considered for exceptional candidates 🚀 Start Date: Immediate 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be legally authorized to work in Canada . Must be eligible to obtain the required security clearance. Candidates may be based in the United States, Canada, or Europe , provided they meet work authorization and security clearance requirements. About the Role We are seeking a Telecommunications Payload System Engineer to support the design, integration, and testing of advanced satellite communications payloads. In this role, you will work alongside multidisciplinary engineering teams to develop and validate digital telecommunications systems, contribute to subsystem integration and testing, and support the delivery of next-generation satellite payload solutions. The ideal candidate has a strong foundation in telecommunications engineering, RF systems, and satellite communications, with a passion for solving complex technical challenges. Key Responsibilities Support the design, integration, and testing of satellite telecommunications payload systems. Contribute to the development and validation of digital communications architectures. Perform subsystem testing, analysis, and troubleshooting to ensure system performance and reliability. Collaborate with systems, hardware, software, and integration teams throughout the development lifecycle. Assist in requirements analysis, system verification, and technical documentation. Analyze test results and support continuous improvement of payload performance. Prepare engineering documentation, reports, and technical presentations. Required Qualifications Bachelor's or Master's degree in Electrical Engineering, Telecommunications , or a related field. 2–5 years of experience in space systems, satellite communications, or a related engineering discipline . Foundational knowledge of: Digital Signal Processing (DSP) RF Systems Telecommunications Architectures Experience with testing satellite subsystems. Strong analytical and problem-solving skills with exceptional attention to detail. Excellent communication, collaboration, and technical documentation skills. Preferred Qualifications Experience supporting satellite payload development, integration, or verification activities. Familiarity with digital communications, RF testing, and systems engineering principles. Experience working in aerospace, satellite communications, or telecommunications environments. Knowledge of satellite payload architectures and subsystem integration.