Вакансии

Задачи: – Разрабатывать новые функции и поддерживать существующий функционал в Android-приложениях – Исправлять баги – Отправлять релизные поезда – Проектировать архитектуру фичей, выбирать паттерны и библиотеки, фиксировать ADR и вести документацию – Писать чистый, поддерживаемый и тестируемый код – Рефакторить legacy-код и повышать производительность приложения – Участвовать в код-ревью, менторстве – Тесно взаимодействовать с участниками продуктовых команд – Внедрять современные практики CI/CD, автоматизации тестирования Требования: – Умение вести эффективную коммуникацию со стейкхолдерами – Инженерный подход, ведение ADR, документации, качественная коммуникация с коллегами – Опыт коммерческой разработки Android-приложений от 3 лет – Глубокое понимание Kotlin и особенностей JVM/Android Runtime – Уверенное знание паттернов, принципов ООП, SOLID, DRY, KISS – Опыт работы с современными архитектурными паттернами (MVVM/MVI) и библиотеками Android Jetpack – Понимание жизненного цикла компонентов Android и работы с многопоточностью – Умение писать Unit-тесты и UI-тесты, понимание важности качества кода – Умение отслеживать и улучшать метрики здоровья проекта – Опыт работы с Git (ветвление, merge requests, code review) – Умение автоматизировать сборки Git, CI/CD – Желание развиваться, делиться знаниями и учиться новому, улучшать командные процессы

Задачи: – проектирование и разработка слоев данных (Raw, Clean, Enriched/Presentation) с учетом лучших практик моделирования (Data Vault 2.0 / 3NF для хранилища, Star Schema для витрин); – разработка и внедрение кастомных алгоритмов дедупликации и Entity Resolution (Fuzzy Matching) на Python; – формализация бизнес-правил качества данных в код, настройка уровней доверия к источникам и правил выживания (survivorship rules); – внедрение Data Contracts и механизмов карантина (quarantine) для некачественных данных с возможностью их последующего разбора; – настройка автоматизированного тестирования данных (Data Quality checks) в пайплайнах. Требования: – Продвинутый уровень SQL и опыт работы с dbt (или аналогами) для построения слоев данных; – уверенное владение PySpark и/или pandas для обработки больших объемов данных и реализации логики матчинга; – практический опыт применения библиотек нечёткого поиска и связывания записей (Splink, recordlinkage, dedupe, theFuzz); – понимание принципов работы алгоритмов сравнения строк (Левенштейн, Джаро-Винклер, косинусное сходство на TF-IDF/эмбеддингах); – глубокое понимание 2-3NF, Data Vault 2.0 и различий между слоями сырых, очищенных и обогащенных данных; – опыт внедрения инструментов тестирования данных (Great Expectations, Soda, dbt tests, deequ или аналоги); – опыт работы с оркестраторами (Airflow, Dagster или Prefect), уверенное использование Git и базовые навыки CI/CD для дата-пайплайнов.

Задачи: — Проектировать, внедрять и поддерживать DevOps инструменты для data pipeline и data платформ. — Поддерживать и автоматизировать ETL процессы (например, Spark, Airflow). — Создавать и управлять мониторингом и наблюдаемостью качества данных (DBT), data pipeline и систем хранения. — Внедрять и поддерживать инфраструктуру хранения данных на AWS (S3, EC2, сеть). — Интегрировать и поддерживать Project Nessie как транзакционный каталог для Data Lakes с семантикой, похожей на Git. — Тесно сотрудничать с Data Engineers для обеспечения плавного деплоя, версионирования и масштабирования data jobs и pipeline. — Автоматизировать деплой и CI/CD процессы с использованием GitLab CI/CD. — Обеспечивать лучшие практики безопасности при работе с чувствительными данными. — Писать автоматизацию инфраструктуры на Python, Bash, Ansible. — Документировать системы, pipeline и DevOps процессы. Требования: — Опыт 5+ лет в DevOps / IT Ops / DataOps с практическим опытом работы с инфраструктурой, связанной с данными. — Глубокие знания Linux (сеть, настройка ядра, оптимизация производительности). — Практический опыт работы с Airflow, ClickHouse, DBT, Spark и Project Nessie. — Солидные знания AWS сервисов (S3, EC2, IAM, сеть). — Владение скриптингом и автоматизацией (Python, Bash, Ansible). — Опыт работы с CI/CD пайплайнами (GitLab). — Опыт работы с мониторинговыми стеками (Prometheus, Grafana, ELK). — Знакомство с контейнеризацией и оркестрацией (Docker, Kubernetes). — Понимание концепций управления данными. — Сильные коммуникативные навыки и проактивный подход. Плюсом будет: — Опыт работы с потоковой обработкой данных в реальном времени. — Знание инфраструктуры как кода (Terraform). — Знакомство с безопасностью в data engineering (IAM, шифрование, контроль доступа). — Опыт работы с высокопроизводительными системами или в торговой среде.

Задачи: — Строить и поддерживать backend-сервисы на Go — Проектировать и развивать микросервисы и распределённые системы — Работать с PostgreSQL и SQL — Создавать REST и gRPC API — Интегрировать сторонние сервисы и поставщиков данных — Писать unit и интеграционные тесты — Решать сложные проблемы в продакшене — Проводить ревью кода и участвовать в архитектурных решениях — Улучшать производительность, поддерживаемость и наблюдаемость Требования: — Опыт профессиональной разработки на Go 5+ лет — Глубокое понимание Go, конкурентности и проектирования ПО — Опыт с микросервисами и распределёнными системами — Сильные навыки SQL/PostgreSQL — Практический опыт с REST и gRPC — Опыт работы с Docker и Git — Опыт написания unit и интеграционных тестов — Сильные навыки решения проблем и коммуникации Будет плюсом: — Kubernetes — Событийно-ориентированная архитектура — Наблюдаемость — Оптимизация производительности — Опыт работы с высоконагруженными системами Условия: — Конкурентная рыночная зарплата — Бонусы по результатам работы — 22 оплачиваемых дня отпуска — Оплачиваемый больничный — Возможности карьерного роста — Международная рабочая среда — Полное обучение и поддержка при адаптации Локация: Кипр, Лимассол Формат работы: офисная

Задачи: — разработка, обучение и оптимизация ML/AI-моделей на PyTorch и/или TensorFlow — проектирование end-to-end ML-пайплайнов — работа с LLM, NLP, Computer Vision и Generative AI — подготовка моделей к production и масштабированию — интеграция моделей с backend — оптимизация inference и производительности — построение MLOps-процессов — работа с Docker и cloud-инфраструктурой — принятие архитектурных решений и техническое руководство AI-командой Требования: — от 4 лет коммерческого опыта в Machine Learning / AI Engineering — практический опыт разработки и внедрения ML-моделей в production — уверенный Python — PyTorch и/или TensorFlow — понимание Machine Learning и Deep Learning — знание ML-метрик и методов оптимизации моделей — Docker, Git — AWS или аналогичные cloud-платформы — практический опыт с MLflow, Kubeflow, AWS SageMaker или аналогичными MLOps-инструментами — свободный английский язык Условия: — full-time — офис в Ташкенте — официальное трудоустройство по ТК Узбекистана — вилка от $3,500

Задачи: - Проводить проектную коммуникацию с представителями бизнес-заказчика с целью уточнения бизнес-требований - Выявлять и проводить анализ бизнес-требований, потребностей и проблем бизнес-заказчика - Формировать спецификации требований, описание логических моделей, структур данных и проектных решений (хранилища и витрины данных) - Согласовывать проектные решения с архитекторами, разработчиками и аналитиками смежных команд - Проектировать и разрабатывать ETL/ELT процессы, слои хранилища и витрины данных - Разрабатывать и оптимизировать SQL-запросы - Проводить внутреннее тестирование и контроль качества информационных продуктов, реализованных разработчиками - Принимать участие в приёмочных испытаниях информационных продуктов и документации с заказчиками - Обеспечивать контроль качества данных и их целостность Требования: - Высшее образование: техническое, математическое или финансовое - Опыт работы не менее 5 лет - Уверенные знания Python, GIT, Airflow (DAG с декомпозицией задач, зависимостями, сенсорами) - Глубокое знание SQL: оконные функции, процедуры, функции, вложенные запросы, опыт оптимизации запросов - Понимание индексов, партиций, ключей, нормальных форм, SCD - Понимание моделирования данных, построения хранилища, репликации и консистентности данных - Умение рефакторить код и проводить миграцию из одной системы в другую - Знание принципов CI/CD - Знание PL/SQL для Oracle, Postgres, Greenplum или знание иной MPP СУБД (будет плюсом) - Опыт работы с API (будет плюсом) - Знание ООП, DBT, Kafka, Bash, SAS (будет плюсом)

Location: Remote Workplace: Remote Our Team Dandelion Health unlocks a layer of unexplored clinical depth that has been previously inaccessible at scale. By combining all the raw multimodal data from community health systems with validated AI models, we deliver regulatory-grade scientific insights and products that give teams the evidence to design better trials, enroll the right patients, and generate AI-powered insights that drive confident decisions across the development and commercial lifecycle. Your Role You are a healthcare data scientist who knows your way around clinical and electronic health record data. Your primary responsibility is to partner collaboratively with our clients to develop data science solutions and analyze AI-ready datasets to provide key insights using multimodal data. You will curate datasets by identifying patient subpopulations or disease cohorts, and pool multimodal data to drive rapid exploratory AI/ML and Real-World Evidence analyses, model experimentation, and/or model validation. You will lead analytics research from inception to closeout by having ownership over study design, data curation strategies, effort estimation, analytic design, and delivery of final results. You will use your data expertise, programming abilities, and critical thinking skills to support our clients by designing and delivering solutions to help them tackle a broad range of business challenges. Your team’s ultimate goal is to deliver the highest-quality data possible to our clients, who are building products that improve patient health, and demonstrate the value of these data. You will report to the Research Data Science Manager.   Responsibilities Your day-to-day responsibilities will include the following: - Collaborate with clients to develop creative analytic solutions that create value and address challenges across critical areas of their business. - Design statistical analysis plans for evidence generation projects that include methodology, results structure, expected outputs and dataset requirements; - Query complex source systems in a range of health data sources (e.g., EMRs, ECG data, DICOM data) to identify and map data elements in order to create high-quality datasets for analytic and AI use cases; - Develop descriptive analyses and in-depth predictive and causal inference models to drive evidence generation on Dandelion data and enhance existing data products; - Summarize the methods and results from projects into clear explanations and documentation for internal and external audiences including for submission to conferences and peer-reviewed publications; - Support all phases of SQL/analytical programming, data management, quality control, and reporting for analytics projects; - Develop code and documentation to deliver high-quality and HIPAA-compliant data products on time to internal and external customers; - Create summarized findings and recommendations that are clearly presented and adapted for audiences that have a varying range of technical and clinical experience; - Identify and resolve problems using your knowledge, background, and troubleshooting skills; - Ensure accuracy, data integrity, and validity of data and analysis in all work; - Present to senior leadership as well external audiences You are not afraid to dig into massive, confusing, disorganized new datasets and get them under control. You are excited to learn new environments, languages, and skills. This is a small, early stage company with enormous ambitions and everyone pitches in across the team.   Qualifications - M.S. or PhD degree in a relevant field, such as Biomedical Informatics, Data Science, Biostatistics, or B.S. with at least seven years of experience - Experience in client interaction, crafting project proposals, and leading teams. - Background in statistical modeling and real-world data analysis - Fluency in Python and SQL - 1+ years experience with extracting, curating, and analyzing data created within the HIT and healthcare delivery ecosystem (e.g., EMR, claims, registry); this may include knowledge of the roles of data exchange and content standards (e.g., FHIR, CDA, CQL) and clinical terminology standards (e.g., ICD, CPT, LOINC, SNOMED-CT, NDC, RxNorm) - Strong technical writing, editing, and communication skills along with a collaborative, client-first mindset - Excellent organizational skills with an ability to embrace change and effectively manage multiple projects and consistently plan work to meet deadlines - Experience working in or with startups is a plus Technology Experiences and Skills   We don’t expect anyone to have all of the following skills or experiences, but we do seek candidates who are interested in growing their skill sets and working with healthcare data in all its glorious complexity. The Data Team works closely with our Engineering Team to put our work into production and meet client needs. - SQL - Python and/or R - Git and version control - Familiarity with encryption methods and writing regular expressions - Prior experience querying EDWs or databases and creating reports or analytics for healthcare data - Familiarity with the data aspects of electronic medical records, ex. Epic, Cerner, Allscripts - Prior experience working with insurance claims data - Familiarity with medical terminologies or controlled vocabularies such as ICD-10, SNOMED-CT, LOINC, CPT/HCPCS, NDC, and RxNorm - Any medical ontology experience - Any NLP experience - Any experience working with DICOM or other imaging modalities - Experience with OMOP common data model - Familiarity with Machine Learning concepts - Experience with AWS Note that familiarity with machine learning model development and deployment is not required for this position, but familiarity with high-level ML concepts is a plus. Nature of our work   Our work is fast paced and iterative. We are growing, and we want to support our team members to grow in their skills as well. We are building a team that approaches problems with a diversity of perspectives, values experimentation, and refining our approach based on that experimentation. We work with the full spectrum of healthcare data from tabular data, videos, images, waveforms, etc. If a health system collects it, we might work with it! If this looks like a partial fit, please reach out, we would love to share more about the work we do for you to understand if it would be a good fit for you. There is occasional travel for in-person company working days on roughly a quarterly basis. Team Benefits - Remote work and flexible hours. Availability needed for meetings, which we try to keep to a healthy minimum - Complete wellness benefits including healthcare, dental, vision, PTO, sick days and more. Ask for details - Professional development days to build your skills - Collegial work environment - Academic bent towards inquiry and problem solving but start-up speed and flexibility - Great balance of focus time to work on projects but easy to access team members to discuss issues and work collaboratively - Dandelion is a mission-driven company that is focused on improving patient care

Location: Remote Workplace: Remote Our Team Dandelion Health unlocks a layer of unexplored clinical depth that has been previously inaccessible at scale. By combining all the raw multimodal data from community health systems with validated AI models, we deliver regulatory-grade scientific insights and products that give teams the evidence to design better trials, enroll the right patients, and generate AI-powered insights that drive confident decisions across the development and commercial lifecycle. Your Role You are a healthcare data scientist who knows your way around clinical and text-based data. Your primary responsibility will be to leverage and build upon large language models (LLM) and other ML-based approaches for meaningful data abstraction from both unstructured and structured healthcare data. You will join a team of data scientists who own the creation and maintenance of AI-ready datasets for clients in our environment. You will work across the organization to curate datasets by identifying patient subpopulations or disease cohorts, developing methodology to abstract information from multimodal healthcare data sources to support patient phenotyping, and pooling data to enable rapid exploratory AI/ML analyses, model experimentation and/or model validation. You will use your data expertise, programming abilities, and critical thinking skills to support our technical product team, and develop your own analyses to derive insights and enhance our datasets based on the use case. Your team’s ultimate goal is to deliver the highest-quality data possible to our clients, who are building products that improve patient health. You will report to the Data Science Manager, under the Head of Data.   Responsibilities Your day-to-day responsibilities will include the following: - Develop Natural Language Processing (NLP), Large Language Model (LLM) and other ML-based pipelines to abstract relevant labels from text-based healthcare data and store them in scalable data models; - Query complex source systems in a range of health data sources (e.g., EMRs, semi-structured reports, free-text clinical provider notes) to identify key data elements and create and enrich high-quality datasets for real-world evidence analyses and training AI algorithms; - Own data extraction, wrangling, labeling and QC tasks to create analytical datasets that include abstracted clinical concepts and provide a range of solutions to support customers’ AI activities; - Stay current on the latest in applied NLP and generative AI methods and proactively leverage these technologies where applicable; - Support the design, testing, validation, analysis, and merging of multimodal data structures from a wide variety of source systems; - Develop code and documentation to deliver high-quality and HIPAA-compliant data products on time to customers; - Identify and resolve problems using your knowledge, background, and troubleshooting skills; - Ensure accuracy, data integrity, and validity of data and analysis in all work; - Provide support for technical product team to advance development of the suite of data-related product offerings; - Summarize the complexity of abstraction methods, findings and recommendations into clear explanations and presentations for internal and external audiences that have a varying range of technical and clinical experience; You are not afraid to dig into massive, confusing, disorganized new datasets and get them under control. You are excited to learn new environments, languages, and skills. This is a small, early stage company with enormous ambitions and everyone pitches in across the team.   Qualifications - Advanced degree in a quantitative field (ex. Data Science, Biomedical Informatics, Computer Science, Biostatistics), or B.S. with at least 5 years of professional experience - At least 2 years of data science and machine learning experience, including building pipelines to extract and curate unstructured and semi-structured data by applying advanced machine learning and AI techniques. Prior experience with clinical and healthcare data is a strong bonus. - Fluency in Python and SQL, including fluency with ML/NLP libraries (PyTorch, Tensorflow, HuggingFace, etc.) - Familiarity with using modern applied LLM techniques on real-world data - Strong technical writing, editing, and communication skills, along with a collaborative mindset - Excellent organizational skills with an ability to embrace change and effectively manage multiple projects and consistently plan work to meet deadlines - Experience working in or with startups is a plus Technical Experiences and Skills   We don’t expect anyone to have all of the following skills or experiences, but we do seek candidates who are interested in growing their skill sets and working with healthcare data in all its glorious complexity. The Data Team works closely with our Engineering Team to put our work into production and meet client needs. - Git and version control - Familiarity with encryption methods - Prior experience querying EDWs or databases and creating reports or analytics for healthcare data - Familiarity with the data aspects of electronic medical records, ex. Epic, Cerner, Allscripts - Any medical ontology experience - Any experience working with DICOM or other imaging modalities - Experience with AWS - Experience with publishing work in peer-reviewed journals Nature of our work   Our work is fast paced and iterative. We are growing, and we want to support our team members to grow in their skills as well. We are building a team that approaches problems with a diversity of perspectives, values experimentation, and refining our approach based on that experimentation. We work with the full spectrum of healthcare data from tabular data, videos, images, waveforms, etc. If a health system collects it, we might work with it! If this looks like a partial fit, please reach out, we would love to share more about the work we do for you to understand if it would be a good fit for you. There is occasional travel for in-person company working days on roughly a quarterly basis. Team Benefits - Remote work and flexible hours. Availability needed for meetings, which we try to keep to a healthy minimum - Complete wellness benefits including healthcare, dental, vision, PTO, sick days and more. Ask for details - Professional development days to build your skills - Collegial work environment - Academic bent towards inquiry and problem solving but start-up speed and flexibility - Great balance of focus time to work on projects but easy to access team members to discuss issues and work collaboratively - Dandelion is a mission-driven company that is focused on improving patient care

Навыки: Kotlin, Jetpack Compose, Coroutines, Flow, MVVM, Clean Architecture, Retrofit, Room, DataStore, Hilt, Navigation Compose, Material 3, unit-тесты (JUnit, coroutines-test), Git.

Задачи: — Строить и развивать аналитическое хранилище компании на базе BigQuery. — Настраивать конвейеры данных из продуктовых и маркетинговых источников (AppsFlyer, Adjust, RevenueCat, Amplitude, Mixpanel, Facebook Ads и др.). — Формировать данные в удобный для аналитиков и продуктовых менеджеров вид. — Документировать модель данных. — Внедрять лучшие практики работы с хранилищем: слоистая архитектура (raw / staging / marts), соглашения по наименованиям, версионирование, тесты качества данных. — Взаимодействовать с продуктом, маркетингом и аналитикой для понимания бизнес-требований и трансформации их в структуру данных. Требования: — Опыт работы в data engineering от 2 лет или сильная аналитическая роль с реальным инженерным компонентом (уровень solid junior / light middle). — Уверенное владение Python для написания ETL/ELT скриптов, работы с API и автоматизации конвейеров. — Опыт работы с GCP (BigQuery, Cloud Functions, Cloud Storage). — Уверенный уровень SQL: оконные функции, CTE, оптимизация запросов. — Понимание принципов аналитических хранилищ: слоистая архитектура, нормализация/денормализация, идемпотентность конвейеров, инкрементальные загрузки. — Опыт интеграции данных из внешних источников через API или готовые коннекторы. — Сильные коммуникативные навыки для общения с нетехническими стейкхолдерами, умение задавать уточняющие вопросы и объяснять технические ограничения простым языком. — Опыт работы с Git: ветвление, код-ревью. Желательно: — Опыт с типичными источниками подписочного/мобильного стека: AppsFlyer, Adjust, Adapty, Amplitude, Mixpanel. — Понимание специфики мобильной атрибуции: SKAdNetwork, постбеки, детерминистическая и вероятностная атрибуция. — Опыт работы с BI-инструментами (Looker Studio, Metabase, Tableau, Power BI) на уровне настройки источника и построения дашбордов. — Знания Terraform / IaC для ресурсов GCP. — Опыт с CDC / стримингом (Pub/Sub, Dataflow) — плюс, но не критично. Условия: — Гибридный формат работы: 2 дня в офисе в Варшаве, 3 дня удаленно. — Обеды оплачиваются в офисные дни. — Возможность участвовать в командных мероприятиях. — Гибкий график с фокусом на результат. — Работа в молодой команде с энергией стартапа, без бюрократии и микроменеджмента.

Location: Athens Office Workplace: Remote Mysten Labs’ mission is to advance the internet through step-function improvements in what technology makes possible. We build foundational infrastructure and products that give people, businesses, and developers new ways to interact, transact, and create value. Our work spans on-chain finance and the emerging agent economy. Through Sui, Move, and our broader technology stack, we’re building the systems that make these experiences possible - from secure, scalable blockchain infrastructure to new ways for businesses and AI agents to interact. Mysten Labs Greece is seeking a Software Engineer to join our growing Solutions Engineering team in Greece! You will help design, develop, debug and deploy our next generation of decentralized applications. Working closely with our senior engineers, you will receive training in smart contract development using the Move programming language and build applications that support blockchain developers and business partners worldwide. These include payment wallets, decentralized finance applications and agentic coordination systems. AI coding tools and agents will be part of your development workflow, combining rapid experimentation with sound engineering judgment to deliver reliable software. You will also contribute to open source projects with global impact, collaborate with leading companies in blockchain and AI, and develop your expertise alongside experienced engineers. This is a remote position requiring residence in Greece, with a strong preference for Athens or Thessaloniki. Occasional attendance at our Athens office is required. WHAT YOU'LL DO: - Design, implement and test full stack applications, using AI coding agents to accelerate development while taking ownership of code quality, security and maintainability. - Work with (and travel as needed) international partners to onboard and port solutions to Sui. - Translate partner needs into clear technical requirements and rapidly build proof of concept applications that demonstrate how Sui can address real business problems. - Visualize and implement web UIs that improve the user experience for blockchain developers and partners. - Understand the capabilities of the Sui blockchain platform so that you can make use of its features and influence its evolution - Research blockchain technology and customers’ industries to inform technical decisions and proposed solution OUR IDEAL CANDIDATE WOULD HAVE: - Any degree in computer science or related field or/and experience in software engineering or equivalent work experience - 2+ years of industry software engineering experience - Experience with any of the following languages: TypeScript, JavaScript, Java or C# - Experience with any of the following UI Frameworks: React, Next.js, Vue - Practical experience using AI coding tools such as Claude Code, Codex or Cursor, including providing clear instructions, reviewing generated code and validating results through testing. Experience gained through personal or open source projects is welcome. - Understanding of relational databases and key value stores. - Experience in source code management tools, such as Git and GitHub - Strong collaboration, interpersonal, and verbal communication skills - Fluency in written and spoken English. Experience with Rust or Solidity, and basic knowledge of distributed systems and architectures, would be a plus. WHAT WE OFFER - A highly competitive, top-of-market compensation package. - Best-in-class private health insurance, with coverage that goes well beyond what is typically offered in the Greek market. - A monthly wellness stipend to support your physical and mental well-being. - A flexible, remote-first working environment with flexible working hours, designed to support autonomy and close collaboration. - An AI-native engineering culture. We fully embrace AI-assisted development and invest heavily in leading AI tools, infrastructure, and resources. - Continuous mentorship, training, and hands-on learning alongside world-class engineers in blockchain, distributed systems, and AI. - Meaningful ownership of technically challenging products used by developers and business partners worldwide. - A fast-moving environment where experimentation is encouraged, engineering judgment is valued, and your work can have a visible impact. Employment is contingent upon the successful completion of a background check, which may include verification of employment history, education credentials, criminal history, and other relevant information. Regarding the recent rash of technology job scams: Be aware that emails from genuine Mysten Labs group recruiters will always come from the @mystenlabs.com http://mystenlabs.com domain or related subdomains (e.g., mystenlabs.com/careers http://mystenlabs.com/careers). Remember: you can always verify positions on our job boards at www.mystenlabs.com/careers http://www.mystenlabs.com/careers. To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Our team is remote first and we are hiring across the world. Here at Mysten Labs, you’ll be joining a world-class team with tremendous growth potential as we bring the next billion users to web3. We raised a $300M Series B round from top Silicon Valley led venture funds like Jump Crypto, Andreessen Horowitz (a16z), Binance Labs, Redpoint, Lightspeed, Coinbase Ventures, Electric Capital, Standard Crypto, NFX, Slow Ventures, Scribble Ventures, Samsung Next, Lux Capital, among other investment firms and strategic partners. Come join us and build the future of web3!

Location: United Kingdom, London Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: We are seeking a Senior Director to lead our Enterprise Reporting and Analytics Engineering organization, a team of analytics engineers, report developers, visualization specialists, and people leaders. This organization focuses on the last mile of the enterprise data supply chain: the semantic models, curated data products, metric definitions, and consumption experiences that turn engineered data into decisions. This is not a traditional reporting leadership role; the classic notion of “reporting” in the form of a myriad of dashboards and filters is racing towards obsolescence. But the need for data and insights, and the need to deliver it in a way that is digestible and actionable, is timeless. Yes, governed dashboards and trusted reporting remain the foundation, and this leader must be excellent at that foundation. But the mandate is to move the organization decisively beyond static reporting toward a proactive, intelligent analytics capability: partnering with Data Science to productize and visualize their models, enabling generative AI and LLM-based access to our data, building exception-based systems that alert users when outcomes deviate from expectation in a statistically meaningful way, and designing agents that monitor data continuously and deliver insight without being asked. Analytics engineering shares much of its DNA with data engineering — modeling, transformation, testing, version control, CI/CD, performance and cost discipline — but is oriented toward business enablement rather than platform and pipeline. Success in this role therefore depends as much on partnership as on technical depth. This leader will work shoulder to shoulder with Data Engineering on the boundary between platform and consumption, with Product Management on roadmap and requirements, with Data Science on advanced analytic products, and with Analytics Operations on a disciplined intake and prioritization process that makes the best possible use of finite capacity. The ideal candidate has spent years building the traditional foundations — governance, metadata, lineage, dimensional modeling, engaging with enterprise BI platforms— and is now looking to apply that rigor to a fundamentally different generation of analytic products in new and innovative ways. What you'll be doing: Organizational Leadership Lead, coach, and develop an organization of approximately 30 people, including managing through frontline managers; own hiring, role clarity, career pathing, performance management, and succession planning. Define a multi-year vision and roadmap for enterprise reporting and analytics engineering, and translate it into quarterly outcomes the team and its partners can measure. Partner closely with Product Management to jointly shape the multi-year enterprise end-to-end data strategy. Own the organization's budget, vendor relationships, and contractor or offshore capacity. Establish and sustain an engineering culture within an analytics function: peer review, automated testing, documentation standards, source control, CI/CD, etc. Analytics Engineering and Data Architecture Drive maturity of the last-mile architecture in partnership with Data Engineering: curated marts, semantic layers, reusable data products, and certified datasets that serve reporting, ai enablement, data science, and downstream applications. Define and enforce dimensional modeling standards, transformation frameworks, and modular, tested, version-controlled analytics code. Own the enterprise metric layer so that key business measures carry a single, governed definition regardless of where they are consumed. Partner with Data Engineering to define clear contracts and handoffs between pipeline and platform work and last-mile modeling, including shared tooling, standards, and escalation paths. Manage query performance, warehouse consumption, and platform cost as first-class engineering concerns. Data Governance, Metadata, and Lineage Own cataloging, business glossary, data certification, and stewardship workflows, leveraging tools such as Atlan as the primary metadata platform. Maintain column-level lineage across the analytics estate to support impact analysis, change management, audit, and root-cause investigation. Leverage data access provisioning and entitlement models, including row- and column-level security, in partnership with Security, Privacy, and Compliance. Collaborate with Data Engineering to drive data quality monitoring, freshness and availability SLAs, observability, and incident response for analytic assets. Enterprise Reporting and Data Visualization Drive analytics engagement by leveraging enterprise visualization and provisioning platforms, including Domo and Tableau, in partnership with Data Engineering. Ensure best practices are followed in data architecture, governance, adoption, performance, and total cost management. Set visualization and information design standards that make reports readable, consistent, accessible, and decision-oriented. Rationalize the existing reporting portfolio: retire redundant and unused assets, consolidate overlapping content, drive down tech debt and drive consumption toward certified sources. Build a durable self-service capability through training, templates, community, office hours, and clear guardrails on what belongs in self-service versus centrally managed content. Advanced, Proactive, and AI-Enabled Analytics Partner with Data Science to productize their work: build the visualization, interaction, monitoring, and feedback loops that turn models and research into products the business actually uses. Partner with Product Management and Data Engineering to enable generative AI and LLM access to enterprise data. This includes preparing the semantic and metadata foundation that makes data legible to models, delivering conversational analytics, text-to-SQL, and retrieval-augmented experiences on governed sources, and establishing guardrails, evaluation, and accuracy monitoring so that answers can be trusted. Build exception-based analytics that detect when an outcome deviates from its expected value in a statistically significant way, using seasonality-aware baselines, forecast residuals, control limits, and anomaly detection rather than static thresholds. Route those exceptions to accountable owners with context, likely drivers, and a recommended next action; actively tune sensitivity and volume to prevent alert fatigue and preserve signal. Design and deploy analytic agents that proactively monitor data, investigate variances, assemble narrative explanations, and deliver insight into the tools where people already work. Shift the organization's consumption model from pull to push: the measure of success is not how many people opened a dashboard, but whether the right person was told the right thing at the right time. Cross-Functional Partnership, Intake, and Prioritization Operate as a true partner to Product Management: contribute to roadmap, requirements, user research, and release planning, and run analytics with a product mindset covering personas, adoption metrics, and asset lifecycle management. Partner with Analytics Operations to run a transparent intake, triage, sizing, and prioritization process, with published capacity, explicit tradeoffs, and reliable delivery commitments. Make capacity constraints visible to stakeholders and executives, drive reuse over one-off builds, and decline or defer work with evidence rather than friction. Serve as a senior, executive-facing partner to business functions, translating ambiguous business questions into well-scoped analytic solutions. What we're looking for: Bachelor's degree in Computer Science, Information Systems, Engineering, Statistics, Mathematics, Economics, or a related quantitative field; equivalent professional experience will be considered. 15+ years of progressive experience in data, analytics, or business intelligence, including 8+ years leading teams and 4+ years managing managers. Demonstrated experience leading an organization of 25 or more people in a large, matrixed enterprise. Strong hands-on foundation in SQL, dimensional modeling, and ELT/ETL design, with production experience on a modern cloud data warehouse or lakehouse (for example Snowflake, Databricks, BigQuery, Redshift, or Synapse) and a transformation framework such as dbt. Experience applying software engineering practices to analytics work, including Git-based workflows, automated testing, and CI/CD. Enterprise-scale leveraging of BI and data visualization platforms such as Domo, Tableau, Power BI, or Looker, including governance, provisioning, adoption, and cost management. Demonstrated ability to participate in driving data governance program covering catalog, lineage, glossary, stewardship, quality, and access, using platforms such as Atlan, Collibra, Alation, or Informatica. Proven track record of delivering jointly with Data Engineering and Product Management, with clear ownership boundaries and shared accountability. Direct experience partnering with Data Science, including operationalizing, visualizing, and monitoring model output for business consumption. Working command of the statistical concepts underlying exception detection, including hypothesis testing, confidence intervals, variance and control limits, seasonality, and forecasting. Experience running a formal intake, prioritization, and capacity planning process for a shared services or platform organization. Excellent executive communication and influence skills, with the ability to operate effectively amid ambiguity and competing priorities. Experience managing budget, vendor contracts, and platform licensing. Preferred Skills: Master's degree or MBA in a related field. Production experience delivering LLM-based analytics: retrieval-augmented generation over governed data, text-to-SQL or conversational BI, semantic layers designed for model consumption, and prompt, evaluation, and cost monitoring frameworks. Experience designing agentic workflows and orchestration for monitoring, investigation, and notification use cases. Hands-on experience with Atlan, Domo, and Tableau specifically. Proficiency in Python or R for prototyping, and familiarity with common statistical and ML libraries and MLOps concepts. Experience deploying anomaly detection at scale, including alert routing, suppression, and fatigue management. Familiarity with data product and data mesh operating models, domain-aligned ownership, and data contracts. Experience operating in an Agile or product operating model at scale, including portfolio, OKR, and roadmap management. Deep experience with the “Silicon Valley” school of Product Management, as exemplified by the “Marty Kagan”-style academic approach a significant plus. Experience leading global or matrixed teams, including offshore or vendor-partnered delivery models. Track record leading a major platform migration, consolidation, or reporting rationalization effort. Demonstrated success attracting, developing, and retaining senior technical talent in a competitive market. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: United States Location: Bellevue, Washington, hybrid, 3 days per week on-site. Duration: 6-month W-2 contract with possibility of conversion to full time. About the role: This is an embedded firmware role, not application software. Bare-PCB bring-up to production firmware on 32-bit ARM Cortex-M microcontrollers, in embedded C . The product is built around USB-C Power Delivery controllers . Candidates must understand USB-C / USB-PD: source, sink and dual-role, power contract negotiation, fault handling. Hands-on bench work is mandatory: oscilloscope, logic or protocol analyzer, SWD/JTAG debugger, UART logging, working from datasheets, register tables and schematics. Companion-IC communication over I2C, SPI, UART . Strong plus: Infineon EZ-PD / PMG1 or Cypress CCGx PD controllers, ModusToolbox or STM32Cube, bootloader / DFU work, power-path or regulator firmware (VBUS, OVP/UVP/OCP), USB hubs, DisplayPort Alt Mode, redrivers. Role Description We're bringing up new hardware built around USB-C Power Delivery controllers and are looking for an embedded firmware engineer to help take these boards from bare PCB to working, production-quality firmware. You'll write and debug firmware on 32-bit ARM microcontrollers, configure companion ICs over I2C/SPI/UART, and work hands-on at the bench in collaboration with our hardware team. Job Responsibilities Bring up new PCBs: validate power/clocks, connect a debugger, enable peripherals, and get firmware running on new hardware Develop and debug embedded C firmware on ARM Cortex-M-class MCUs Configure and drive companion ICs over I2C or other peripheral buses Implement and debug USB-C / USB-PD behavior (power negotiation, source/sink roles, fault handling, etc.) Debug at the bench with oscilloscope, protocol/logic analyzer, multimeter, and SWD/JTAG Work from datasheets, register tables, and schematics Document configurations and design decisions Collaborate with hardware engineers to isolate hardware vs. firmware issues Required Skills Strong embedded C on 32-bit MCUs (ARM Cortex-M or similar): interrupts, register-level peripheral work, development under flash/RAM constraints Working understanding of USB-C/USB-PD (source/sink/DRP roles, power contract negotiation) I2C/SPI/UART peripheral/companion-IC communication, configuration, and debug Hands-on hardware bring-up experience: taking a board from power-on to running firmware, or debugging firmware against real hardware Datasheet and schematic literacy: able to configure a part from its register tables and confirm pin/power connections Comfortable with standard bench debug tools: oscilloscope, logic/protocol analyzer, SWD/JTAG debugger, UART logging Git proficiency Preferred Skills Experience with a Cypress/Infineon MCU SDK/IDE and its middleware (e.g. ModusToolbox, STM32Cube, or similar), including creating/customizing a board support package Firmware update/bootloader work (DFU or equivalent): building and flashing update images Power-path or regulator firmware: VBUS control, fault detection/recovery (OVP/UVP/OCP), enable/soft-start sequencing USB subsystem experience: hubs, DisplayPort Alt Mode, redrivers/retimers, or billboard devices Nice to have Prior work with Infineon EZ-PD / PMG1 (or Cypress CCGx) PD controllers and ModusToolbox CI for embedded builds USB-IF PD compliance/USB-C requirements familiarity

Location: United States Workplace: Remote ClickHouse is looking for Growth Engineers who are obsessed with both craft UI and agentic experiences. You care about the button, the empty state, and the agent that helps someone get unstuck, and you care equally about whether any of it moved the number. You’ll join our growth pod to build experimentation infrastructure, onboarding flows, and product surfaces across the self-serve funnel: classic human UI and AI-assisted / agent-driven flows. You’ll work side by side with unified console engineers, but your mandate is speed and impact: ship something testable, measure it, and iterate. You’re motivated by moving a number and learning fast, more than by getting every detail right on the first try. This is a new role at ClickHouse. You’ll help define what growth engineering looks like here: PLG experimentation that spans human and agentic experiences. You’ll work closely with product, design, and data science on one pod, and partner with unified console and app teams on shared product surfaces. What you will do: - Build and ship experiments across the self-serve funnel: signup, onboarding, activation, and monetization flows. - Design and polish human UI (flows, forms, empty states, navigation, microcopy surfaces) with a high bar for clarity and conversion. - Design and ship agentic experiences (AI-assisted onboarding, in-product agents, guided workflows) that help users reach value faster. - Run disciplined experiments on both: hypothesis, instrumentation, ship, learn. Tools like GrowthBook are part of the day-to-day. - Partner closely with product, design, and data science to go from idea to shipped experiment quickly. - Work within the Cloud Console codebase alongside unified console engineers, and partner with app teams (including Observability, Agents, and Postgres) on strong end-to-end user flows. - Obsess over metrics: acquisition, activation, and monetization. You want proof that what you shipped moved the needle. Requirements: - Experienced in full-stack product engineering (TypeScript / Node / React), ideally including time on a growth, product, or experimentation-focused team. - Strong proficiency in TypeScript, Node.js, and React, with real taste for product UI. - Experience building with LLMs or agent patterns in a product (tool calling, streaming, evals, system/prompt design), or a clear track record of shipping AI features you measured and iterated on. - Comfortable shipping a smaller, testable version of an idea first, then iterating based on what you learn. - Familiarity with RESTful APIs and JSON. - Experience with experimentation or A/B testing tools (e.g. GrowthBook, Optimizely, LaunchDarkly), or strong interest in building that muscle. - Proficient with Git and collaborative code review. - Excellent communication skills. You’ll work daily with PM, design, data science, marketing, and other engineering teams. Preferred Qualifications: - You’ve shipped both polished UI experiments and agentic / AI-assisted product experiences (not just prototypes), with instrumentation and iteration. - Experience on a growth or product-led-growth team, ideally at a company with a self-serve funnel. - Experience with ClickHouse or other data-intensive/analytics products. - Familiarity with Auth0 or similar auth integrations. - Experience working closely with (but not necessarily reporting into) a separate platform or infrastructure engineering team. - You have opinions on what makes great human UX and great agent UX, and you use AI heavily in your own workflow. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: ES - Barcelona, Spain We are looking for a Software Integration Manage r in Barcelona, Spain, on a hybrid 3 days a week. We can support with visa sponsorship from any location. At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure! We are in the early stages of development on an ambitious, unannounced, cross-platform Strategy/MMO title, creating a team of talented and passionate game makers to join us on this exciting journey! The Technical Release Manager will own the complete path from local changes to validated availability across all development lanes. You will set the technical strategy and operating model for how hundreds of contributors safely exchange changes while maintaining velocity. This is a senior technical leadership role that requires both deep technical credibility and cross-functional coordination skills What You’ll Do Own the path from local work to validated availability, including branch strategy, merge policy, propagation, validation, and exception handling across all development lanes Set the lifecycle contract for each development lane: why it exists, what belongs there, how it stays synchronized, conflict resolution, and retirement criteria Design and implement the technical systems and policies that enable change management at scale across source control, CI/CD, validation, and release infrastructure Surface dependencies and potential integration collisions early enough for teams to sequence work or knowingly accept rework, then preserve ordering and context as changes move between lanes Give all contributors a clear view of change status, blockers, ownership, and recovery paths, with downstream failures traceable to their source Improve conflict detection and target-lane validation; automate routine merge actions, propagation, backports, cleanup, and notifications Study how engineers, artists, designers, QA, production, and build teams actually work; then remove unnecessary ceremony, waiting, and specialist dependencies Measure flow health metrics and turn incidents and proven manual practices into better policy, tooling, and operations Coordinate work across Developer Experience, QA, CI/build infrastructure, production operations, and domain teams, with clear owners and backup coverage for critical operations Mentor and develop junior team members in release engineering and infrastructure practices What We’re Looking For Highly experienced hands-on engineer with a track record of technical leadership on cross-functional programs Strong background in source control systems, branch strategies, merge queues, and CI/CD infrastructure Demonstrated ability to design and operate technical systems that support development teams at organizational scale Experience with release management, validation policy, and deployment infrastructure in complex product environments Exceptional ability to balance speed, stability, and delivery goals while explaining complex tradeoffs to senior leaders and teams Strong communication and people skills; ability to influence engineers, artists, designers, QA, and production teams without direct authority Proven track record of converting manual, repetitive processes into automated, well-documented systems Bachelor's degree in Computer Science, Software Engineering, or equivalent professional experience Ability to analyze source control history, diagnose CI and integration failures, and prototype supporting tooling Curiosity about how different disciplines work and habit of finding the real workflow behind technical problems Bonus Points Game development experience, particularly with Unity or large monorepos Experience with Git LFS, binary/non-mergeable assets, or parallel development mainlines Operating high-volume merge queues or change systems at substantial organizational scale Multiple simultaneous live releases or long-term development track experience Experience with large tightly-coupled products or complex content pipelines Knowledge of DevOps, build infrastructure, or platform engineering Experience designing developer productivity and experience improvements About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Требования: — Гражданство и локация РФ — Уверенный опыт промышленной разработки на платформе 1С — Хорошее знание стандартов разработки 1С и готовность писать код с учетом обязательного code review и автоматизированного контроля качества — Опыт разработки и проектирования интеграций — Понимание принципов построения API, интеграционных контрактов и обмена сообщениями — Опыт работы с 1С:EDT и Git либо готовность быстро освоить эти инструменты — Опыт использования ИИ-инструментов в разработке либо готовность быстро освоить такие подходы — Способность самостоятельно разбираться в требованиях и выполнять часть аналитической работы — Практический опыт работы с 1С:Управление холдингом и знание основных механизмов конфигурации — Опыт работы с другими финансовыми конфигурациями 1С: ERP, ERP.УХ, БИТ.ФИНАНС — Опыт работы с 1С:Шина Обязанности: — Разработка и развитие решений на платформе 1С — Проектирование и реализация интеграций с внешними системами — Анализ и декомпозиция требований, участие в выборе технических решений — Работа с конфигурацией 1С:Управление холдингом — Разработка в соответствии с принятыми стандартами и архитектурными принципами — Работа в современном командном процессе разработки с использованием 1С:EDT и Git, code review, статического анализа и Sonar — Использование ИИ-инструментов в разработке: генерация и анализ кода, рефакторинг, тестирование, документирование и другие сценарии AI-assisted development — При необходимости — выполнение части задач аналитика: уточнение требований, описание взаимодействий и согласование решений со смежными командами Условия: — Full-time, 5/2 — Вилка до 210к рублей на руки

Location: Kyiv; Lviv Workplace: onsite Ajax Systems — міжнародна технологічна компанія і найбільший у Європі виробник охоронних систем. Продуктам Ajax довіряють уже понад 4,5 мільйони кінцевих користувачів і 330 тисяч PRO-користувачів у більш ніж 180 країнах. Компанія пропонує комплексні рішення для захисту житлових і комерційних об'єктів різного масштабу. Нині портфоліо Ajax налічує 280 пристроїв для захисту від вторгнення, відеоспостереження, пожежної безпеки та комфорту й автоматизації. Кожного року ми демонструємо кратне зростання як у чисельності команди, так і в кількості користувачів у всьому світі.  Ajax Systems має виробництво повного циклу: від генерації ідей та створення прототипів до масового виробництва та продажу по всьому світу. Кожен департамент закриває певну операційну потребу бізнесу в повній мірі. Фахівці компанії залучені на всіх етапах: від виробничої лінії в Україні до логістичного центру в Польщі, звідки продукцію відправляють дистрибʼюторам по всьому світу.   Ми шукаємо Senior SAP QA Engineer до команди, яка відповідає за якість SAP-екосистеми та її інтеграцій з іншими корпоративними системами. На цій позиції ви будете не лише тестувати складні наскрізні бізнес-процеси, а й впливати на розвиток QA-підходів, формування тестової стратегії та впровадження автоматизації. Шукаємо спеціаліста із сильним технічним бекграундом, практичним досвідом автоматизації та здатністю самостійно знаходити оптимальні рішення для забезпечення якості складних Enterprise-систем. Досвід роботи безпосередньо із SAP не є обов'язковим. Для нас важливіші глибоке розуміння інтеграційного та E2E-тестування, системне мислення й готовність працювати зі складною бізнес-логікою. Обов‘язки: Розробка та вдосконалення QA Strategy для SAP-екосистеми з урахуванням бізнес-критичності процесів, інтеграцій та ризиків. Планування, організація та виконання функціонального, інтеграційного, системного, регресійного та End-to-End тестування. Тестування складних наскрізних бізнес-процесів, що охоплюють декілька SAP-модулів та інтегрованих систем: продажі, закупівлі, фінанси, складський облік, виробництво тощо. Формування, оптимізація та підтримка Regression Test Suite для ключових бізнес-процесів. Участь у виборі інструментів і підходів до автоматизації тестування, її впровадження та подальший розвиток автоматизованого покриття. Самостійна розробка, підтримка та вдосконалення автоматизованих тестів, насамперед для регресійних та інтеграційних сценаріїв. Визначення пріоритетів автоматизації з урахуванням ризиків, стабільності сценаріїв і доцільності автоматизованого покриття. Валідація міжсистемних інтеграцій (SAP, E-commerce, DWH та інші корпоративні системи) через API, бази даних і аналіз логів. Аналіз складних дефектів, локалізація причин їх виникнення, оцінка впливу змін на суміжні системи та бізнес-процеси. Розробка та вдосконалення тестової документації: Test Plans, Test Cases, Checklists, E2E Scenarios, Test Coverage. Участь у плануванні релізів, оцінці ризиків та визначенні критеріїв готовності змін до впровадження. Розвиток QA-практик у команді, обмін експертизою та підтримка колег у вирішенні складних технічних задач. Тісна співпраця із SAP-консультантами, ABAP-розробниками, бізнес-аналітиками та іншими технічними командами. Вимоги: Від 5 років комерційного досвіду в Software Testing, зокрема тестування складних Enterprise, ERP, CRM або інших інтегрованих систем. Глибокий практичний досвід функціонального, інтеграційного, регресійного та End-to-End тестування. Досвід самостійного планування тестування, розробки тестових стратегій та визначення пріоритетів на основі ризиків. Обов'язковий комерційний hands-on досвід автоматизації тестування: самостійна розробка, підтримка та вдосконалення автотестів. Впевнене володіння хоча б одним інструментом або фреймворком автоматизації: Playwright, Selenium, Cypress, Tricentis Tosca, UFT/OpenText UFT або аналогічними. Практичні навички програмування або скриптингу для автоматизації тестування (JavaScript/TypeScript, Python, Java, C# або інші мови). Розуміння архітектури Automation Frameworks, принципів підтримки стабільного автоматизованого покриття та підходів до інтеграції автотестів у процес розробки. Досвід формування, оптимізації та підтримки регресійних тестових наборів. Досвід тестування складних E2E-сценаріїв, у яких бізнес-процес проходить через декілька інтегрованих систем або модулів. Практичне володіння SQL: самостійне написання запитів із використанням JOIN, GROUP BY, підзапитів та інших конструкцій для перевірки даних і аналізу дефектів. Досвід тестування API та інтеграцій (REST/SOAP, Postman, Swagger, JSON/XML). Розуміння принципів CI/CD, досвід роботи із системами контролю версій (Git) та інструментами на кшталт Jenkins, GitLab CI або аналогічними. Системне та аналітичне мислення, здатність самостійно досліджувати складні проблеми, визначати їхні першопричини та оцінювати вплив змін на суміжні процеси. Досвід роботи з Jira, Confluence або аналогічними інструментами. Англійська мова на рівні Upper-Intermediate (B2). Буде плюсом Досвід тестування ERP-систем (SAP, Oracle, Microsoft Dynamics, Odoo). Досвід роботи зі складними корпоративними платформами: ERP, CRM, WMS, Billing, Core Banking. Досвід тестування бізнес-процесів у виробництві, закупівлях, логістиці, складському обліку або фінансах. Досвід побудови QA-процесів або впровадження автоматизації тестування з нуля. Досвід проєктування або розробки Automation Frameworks. Досвід тестування SAP Fiori / SAPUI5. Досвід автоматизації SAP-тестування за допомогою Tricentis Tosca або аналогічних інструментів. Практичний досвід інтеграції автоматизованих тестів у CI/CD pipelines. Досвід менторства, проведення Code Review або технічної підтримки інших QA-інженерів. Досвід Performance / Load Testing. Від себе ми пропонуємо: Роботу в одному з наших комфортабельних офісів. Офіс облаштований генератором та бомбосховищем; Офіційне працевлаштування зі стабільною оплатою та всіма гарантіями Дія Сіті резидента; Гнучкий графік без привʼязки до робочих годин; Компенсація навчання; Заняття англійською; Медичне страхування; Комплект системи безпеки Ajax (участь у проєкті бета-тесту — отримання та тестування нових гаджетів до їх релізу); Різносторонні проєкти та професійне зростання; Драйвову команду та zero bullshit culture. Долучайтеся, щоб зробити Made in Ukraine синонімом надійності!

Проект: Расчет заработной платы, планирование ресурсов предприятия Требования: ИТ образование высшее или среднее; - React; - JavaScript; - react-query, redux toolkit, rtk-query; - Redux; - SCSS, CSS; - Git; - NPM; - Node.js; - Webpack;