Вакансии

- Изучение плана тестирования для выделения тестовых случаев. - Определение входных данных, выделение классов эквивалентности и построение таблиц комбинаций для покрытия всех ветвей логики.

• 8+ лет опыта в прикладном ML/AI с ответственностью за системы end-to-end. • Уверенное владение Python.

• От 3 лет коммерческого опыта в ручном тестировании. • От 2 лет опыта в автоматизации тестирования.

О компании: Qualifyze — ведущая компания в управлении соответствием цепочки поставок в индустрии Life Sciences, основана в 2019 году, работает с более чем 1500 фармацевтическими и медицинскими компаниями по всему миру. Задачи: — Обеспечивать надежную работу и развитие систем и автоматизаций в рамках QOS. — Поддерживать, устранять неполадки и улучшать модули QOS, обеспечивая их стабильность, производительность и устойчивость. — Вести техническую поддержку производственных решений, решать инциденты и внедрять постепенные улучшения. — Владеть процессом поддержки и надежности существующих модулей QOS, обеспечивать их доступность и корректную работу. — Исследовать, устранять ошибки, инциденты и проблемы с производительностью, выявлять коренные причины и внедрять устойчивые решения. — Разрабатывать и внедрять небольшие улучшения на основе обратной связи и меняющихся требований. — Мониторить автоматизации, интеграции, каналы данных и AI-решения для выявления сбоев и неэффективности. — Поддерживать и улучшать интеграции между внутренними системами для обеспечения надежных потоков данных и автоматизации. — Вести техническую документацию, руководства по устранению неполадок и операционные инструкции. — Сотрудничать с командой инженеров и бизнес-стейкхолдерами для приоритизации задач поддержки и решения технических проблем. Требования: — Опыт в разработке программного обеспечения, автоматизации или аналогичной технической роли. — Уверенные навыки программирования как минимум на одном из языков: Java, JavaScript, TypeScript или Python, а также знание SQL. — Практический опыт поддержки, отладки и улучшения производственных приложений и автоматизированных процессов. — Знание LLM, AI-агентов и агентных рабочих процессов, включая устранение неполадок AI-решений. — Понимание DevOps-концепций, включая контейнеризацию (Docker), оркестрацию (Kubernetes) и практики CI/CD. — Мягкие навыки уровня IC3: самостоятельное решение проблем, ответственность за надежность систем, эффективное взаимодействие с коллегами и заинтересованными сторонами, проактивное улучшение процессов и принятие технических решений в рамках стандартов команды. Условия: — Релокация в Испанию или Германию с последующим гибридным форматом работы. — Конкурентная ежегодно пересматриваемая зарплата в диапазоне 35,000–40,000 евро в год, окончательная сумма зависит от опыта и результатов. — Пакет отпускных, увеличивающийся с длительностью работы. — Страна-специфические льготы, включая частное медицинское страхование, фитнес и питание. — Ежегодный бюджет на личное развитие. — Гибридный режим работы с возможностью до 3 месяцев в году работать из любой точки мира. — Современное оборудование и инструменты для эффективной работы. — Ежегодное офлайн-событие компании в Европе. — Работа в команде профессионалов.

— Разработка автотестов на C# после перехода. — От 4 лет опыта тестирования веб-приложений.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Enterprise is central to Anthropic's mission. The organizations that could benefit most from Claude often have the most demanding needs, with rigorous requirements around end-user experience, procurement, security, and permissions. We believe earning their trust is essential to ensuring AI benefits the world broadly. We're looking for a Staff+ Full Stack Engineer for our Enterprise pillar—the team that makes Claude enterprise-ready at scale. When a Fortune 500 company rolls out Claude to 100,000 employees, the admin, governance, and management experiences you build are what their IT leaders, security teams, and end users touch every day. This is a high-agency role where the product questions are as open as the architecture ones: you'll help decide what these products are, not just how they're built, and you'll see your work land with real teams at the world's largest enterprises. What you'll do Own technical design and delivery for enterprise-facing products end-to-end across the stack—from admin consoles and governance surfaces to the APIs and data models behind them Partner with product, design, and go-to-market to turn enterprise customer workflows into shipped product, not just execute against a spec Set technical direction and standards for your team: architecture, code quality, and how the team builds Work directly with enterprise customers, admins, and sales during key conversations, translating what you learn into engineering priorities Build the primitives that let the world's largest organizations deploy, govern, and get value from Claude at scale Mentor other engineers and raise the technical bar across the team, working with influence rather than authority You may be a good fit if you Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level Have led the design and delivery of complex customer-facing products across the full stack Have built enterprise SaaS products and understand what IT admins, security reviewers, and procurement teams need to say yes Are comfortable working directly with enterprise customers and translating what you learn into technical decisions Have built products from 0 to 1 in fast-moving environments, and can set technical direction with limited precedent to lean on Drive cross-team alignment to ship impactful work, with influence over authority Strong candidates may also have Experience with enterprise identity, permissions, and administration surfaces (SSO/SCIM, RBAC, audit, usage and spend visibility) Experience building AI products and turning model capabilities into applications people actually use Experience as startup founders or early-stage employees The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

- Функциональное тестирование платформы OpenMetadata. - Проверка процессов сканирования источников данных (ingestion), профилирования данных, управления тегами и глоссариями.

Anthropic is looking for a Staff Plus Fullstack Software Engineer to build safety oversight tools, detect model abuse, and prevent disallowed model use.

Adyen is looking for a Head of Engineering Financial Data Experience to lead financial data products and engineering delivery.

Anthropic is looking for a Senior Staff Security Engineer to lead incident response and build threat detection and response capabilities.

Robinhood is looking for a Staff Backend Engineer to define platform architecture, lead cloud modernization, and improve the resilience of exchange services.

Robinhood is looking for a Staff Software Engineer Backend Platform to lead backend platform initiatives, develop shared tooling, and improve system reliability.

Tenstorrent is looking for a Senior Staff Engineer IP Runtime to build and optimize low-level runtime systems for hardware execution.

We're looking for experienced software engineers to build AI coding tasks from a codebase they know well. You turn a real change from a repository you know into a task that today's best AI coding models struggle with: hard for the models, but fair for a skilled engineer.

Location: Riverside, United States Partner One is a long-term investment group specializing in the acquisition and growth of successful software companies. With over 30 years in business, we own and operate some of the fastest-growing enterprise software companies globally. More than 2,000 of the world’s largest corporations and governments rely on our software for their most critical operations and to safeguard their most valuable data. We are looking for a Junior Support Engineer to join our team based at our Riverside Data Centre, California – this DC hosts infrastructure and equipment supporting multiple companies across our portfolio.  This is a hands-on, junior technical role, ideal for someone looking to build their experience across IT support, hardware, networking, and data centre operations. You’ll work alongside our existing Data Centre Engineer and wider IT teams, helping with day-to-day requests and providing on-site support when physical access to equipment is required. We’re not looking for someone who knows everything already; our goal is to identify someone practical, reliable and keen to learn, who is comfortable working with IT hardware and following technical instructions Responsibilities: Install, rack and cable servers, switches and other network equipment Assist with basic installation and decommissioning of Data Centre hardware Provide ‘Smart Hands’ support for our wider IT teams and portfolio companies Carry out tasks such as power cycling equipment, checking connections, reseating cables and replacing basic components Supporting our existing Data Centre Engineer when additional resource is needed Troubleshoot basic network connectivity issues, including checking cabling, ports, connections and device status Escalate more complex infrastructure or networking issues to the appropriate engineer or technical team Assist with laptop and end-user device management Receive returned equipment and ensure assets are correctly recorded and stored; wipe and securely prepare laptops and other devices for re-use or disposal; configure and prepare devices to be shipped to new or existing users Assist with IT asset and inventory management, including tracking equipment entering and leaving the Data Centre Follow documented processes and maintain accurate records of work completed, and assist with other hands-on IT and Data Centre tasks as required Requirements A basic understanding of computer hardware and networking Confidence working with laptops, desktops and other IT equipment A basic understanding of network concepts such as IP addresses, switches, network ports and Ethernet connectivity An interest in learning more about servers, networking and Data Centre infrastructure The ability to follow technical instructions and documented processes carefully Good organization, attention to detail and problem solving skills A willingness to ask questions and escalate when something is outside your knowledge or experience. Good communication skills and a helpful, service-focused attitude with the ability to work collaboratively with engineers and IT teams who may be based remotely Preferred Requirements Experience in any of the following would be useful, but is not essential: Working in an IT Help Desk, Service Desk or desktop support environment Installing or replacing computer hardware Basic network troubleshooting Server or network rack installation and cabling Laptop imaging, configuration or device management IT asset management Microsoft Windows and Microsoft 365 Working with a ticketing system such as Jira CompTIA A+, Network+ or similar entry-level IT certifications Benefits This role offers an opportunity to gain hands-on experience across a broad range of technologies and environments. You’ll work with infrastructure supporting multiple companies, giving you exposure to Data Centre operations, networking, servers, end-user computing and IT support. For someone at the beginning of their IT career, it’s a great opportunity to develop practical skills while working alongside more experienced engineers and gradually taking on greater technical responsibility. Compensation The estimated compensation range for this role is $40,000 - $60,000/ year Gross USD. Actual compensation will be based on local market benchmarks and relevant experience. This recruitment process may use automated or artificial intelligence to screen or assess applicants This job posting is for an existing vacancy.

Location: Vietnam; Armenia; Poland; Georgia; Thailand; Serbia Job responsibilities Develop end-to-end monitoring for all infrastructure stacks, including Trino, Kubernetes, databases, and Big Data (Apache Ozone and Hadoop); Implement automatic collection of DORA metrics and create high-level health dashboards to visualize service uptime; Audit current metrics and address gaps in infrastructure monitoring, particularly in K8s, databases, and distributed storage systems; Optimize and update Alertmanager rules to intercept incidents and anomalies before they impact users or are manually detected; Serve as a single point of expertise in monitoring to free team leads from routine dashboard configuration and alerting support tasks. Requirements Experience from 3 years as Devops/SRE and from 5 years in IT, experience as an SRE or monitoring engineer with an emphasis on infrastructure reliability rather than product feature development; Experience with Python (Go/JS as a plus); Deep knowledge of Prometheus, Grafana, and Alertmanager, including writing complex PromQL queries and addressing alert fatigue; Practical understanding of SLI/SLO/SLA concepts, error budgets, and the methodology for collecting DORA metrics; Experience with containerization (Kubernetes) and databases, as well as the ability to quickly grasp metrics of distributed systems (Hadoop, Trino); Ability to translate abstract system behaviors and logs into clear, structured, and actionable metrics; Experience working with ClickHouse, Vertica, StarRocks, or Greenplum. Benefits We offer a fully flexible work schedule — there’s no pressure to start work at exactly 9:00 AM; what matters is achieving results and moving forward; Each person in our team is encouraged to choose their preferred work format. You can work fully remotely, come to the office, or choose a hybrid work model; We are an ambitious and supportive team who love what they do, appreciate each other, and grow together; The growth and development of each employee is our priority, so we have internal programs available for adaptation and training, development of soft skills and leadership abilities that are tailored individually to each employee; We also provide partial compensation for employees participating in external training and conferences; In tourism, it's difficult to grow without an excellent knowledge of English, and we support our employees' language learning goals — we organize group and individual lessons, plus speaking clubs with colleagues from all over the world; And, of course, to encourage you to travel more, we offer corporate prices on hotels and other travel services; We provide MyTime Day Off — an extra day off that is designed to give our employees the flexibility to focus on important matters, whether it’s taking care of their health, mental recharge, addressing personal issues, or any other important activities. Learn more about our data protection practices in our Privacy Policy: emergingtravel.com/career/hr-policy

Location: Romania; Bulgaria; Portugal; Poland; Slovakia; Spain Intetics Inc. , a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced ML/Data Engineer to join our dynamic team on a full-time basis. Customer location: USA Candidate locations: EU ONLY Working hours: 11.00-20.00 CET Language: English B2+ Estimated start date: 16.11.2026 Duration: 12 months Project Responsibilities Design and build production data infrastructure for high-volume athlete performance and sensor data. Build and operate real-time and near-real-time ingestion systems for streaming data. Design storage and data architectures for high-volume time-series data and longitudinal athlete records. Build infrastructure that makes production features and derived metrics available to machine learning systems and AI agents with low latency. Design and implement graph data models and schemas representing relationships between athletes, training loads, injuries, performance, and outcomes. Build data and ML evaluation infrastructure that helps measure model reliability, calibration, and performance across real-world cases. Design systems that maintain strong tenant-level data isolation across clubs and customers. Establish appropriate data provenance, lineage, auditability, and observability across the platform. Work with ML and AI engineers to provide reliable data foundations for model training, inference, and evaluation. Work with sport scientists and domain experts to translate complex requirements into durable production systems. Make pragmatic technology and architecture decisions as the platform evolves. Requirements 5+ years of full-time professional software or data engineering experience, excluding internships, university placements, coursework, and academic projects. Proven experience designing, building, and operating production data infrastructure at scale. Strong experience working with time-series data or time-series databases, such as InfluxDB, TimescaleDB, Prometheus, ClickHouse, or equivalent technologies. Significant experience with real-time or streaming data ingestion, using technologies such as Kafka, Kinesis, Flink, Spark Streaming, Pulsar, or equivalent. Experience designing graph data models or graph database schemas, not simply querying or consuming an existing graph database. Experience designing or operating multi-tenant systems with tenant-level data isolation. Strong Python and SQL skills. Professional experience with Go is highly desirable. Experience working with production systems where reliability, scalability, observability, and data correctness matter. Ability to take ownership of ambiguous technical problems and turn them into practical production architectures. Experience working directly with data scientists, ML engineers, or other technical domain specialists. Experience building probabilistic evaluation, model calibration, or model monitoring infrastructure. Experience with causal inference, counterfactual modelling, or simulation. Experience working with wearable sensors, IoT data, biomechanics, sports technology, or other high-frequency telemetry. Experience building knowledge graphs or domain-specific ontologies. Experience with LLM or AI evaluation frameworks and an understanding of their limitations. Experience with AWS, including ECS, EC2, Lambda, SNS, SQS, or related services. Experience with GraphQL, REST, gRPC, Postgres, MongoDB, or similar technologies.

Хотите стать тестировщиком с нуля? Наш бесплатный онлайн-курс QA Engineer Java — это не просто уроки, а цельная программа подготовки для последующей работы в штате компании ASTON.