Вакансии

Обязанности: • Проведение учебной практики и учебных занятий для групп 1,2,3,4 курса специальности «Сетевое и системное администрирование» • Технология выполнения работ по профессии рабочего "Оператор электронно-вычислительных и вычислительных машин" • Технология выполнения работ по профессии рабочего-"Наладчик технологического оборудования" • Основы вычислительной техники • Основы безопасности на производстве Требования: • Образование, знания, умения - в соответствии с профстандартом • Владение навыками работы в специализированных программах, а также: Microsoft Excel, Microsoft Outlook, Microsoft PowerPoint, Microsoft Word, Интернет, электронная почта. • История ОС, архитектура. Диспетчеризация, планирование и взаимодействие процессов ОС, работы с памятью, файловые системы, принципы организации. Установка, настройка и работы в Windows, Linux, Astra Linux. Администрирование ОС и управление безопасностью • Сертификаты Cisco/Huawei либо иных сетевых вендоров. Плюсом будут сертификаты Microsoft и Python, Astra Linux (или иных Linux дистрибутивов) • Знание модели OSI/ Принцип работы протоколов TCP и UDP • Знание сетевых протоколов. FTP, SMTP, POP, IMAP, DHCP, IPv6 адресации. Протоколы удалённого доступа (SSH, Telnet). Принципы работы сети на физическом уровне. Принцип работы технологий IEEE 802.11 (WiFi) Понимание принципа работы локальных сетей, Ip адресация, SLAAC + DHCPv6. Технологии WPAN, WLAN, WMAN, WWAN. Технологии беспроводной связи BLE, BR/EDR, WiMAX • Медицинская книжка, медицинское освидетельствование психиатр/нарколог, справка об отсутствии судимости Условия: • Работа на территории работодателя • Полный социальный пакет • Отпуск в летнее время

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role summary   As a Platform Security Engineer on the Security team, you will architect and maintain the security posture of our rapidly scaling AI infrastructure and application lifecycle. Security is not a gate but an enabler, and you will embed robust controls into our continuous integration and deployment pipelines, infrastructure environments, and developer workflows to protect our systems without sacrificing velocity. Your role exists to ensure that our research and engineering teams can move fast while staying secure. You will shape how security integrates with every layer of our stack, from code to cloud, making secure practices invisible to developers and automatic by default.     What you will do   - Drive threat modeling and risk prioritization exercises as the security counterpart in system-design reviews for core infrastructure and new products. - Own end-to-end vulnerability management across continuous integration and deployment pipelines and runtime environments, covering infrastructure and applications. - Secure our container orchestration deployments and containerized workloads, implementing advanced hardening to prevent lateral movement across distributed systems. - Define and enforce Infrastructure-as-Code security by building robust guardrails and integrating policy-as-code directly into deployment pipelines. - Design and execute a comprehensive security tooling strategy, managing solutions for cloud-native application protection, cloud security posture, static code analysis, dependency scanning, secrets management, and vulnerability tracking. - Champion developer enablement by building secure defaults, streamlining remediation workflows, and drafting actionable security guidelines. - Build foundational security automation to scale alongside hyper-growth, minimizing manual overhead while establishing a pragmatic security culture.   What we're looking for:   - Five or more years of experience in Platform Security, Security Engineering, or Cloud Security, ideally as an early security hire in a fast-scaling environment. - Deep understanding of container orchestration and container security, alongside strong experience securing Infrastructure-as-Code across major cloud providers. - Strong programming and scripting skills in languages such as Python or Go to build security automation and integrate diverse security tools into developer workflows. - Extensive experience deploying and tuning modern security tooling with a pragmatic approach to vulnerability management and threat modeling. - Strong communication skills with a proven track record of partnering with developers and researchers to embed secure defaults without creating engineering friction. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

MDiet — early-stage HealthTech стартап, разрабатывающий AI-powered платформу, которая помогает снижать количество повторных госпитализаций пациентов. Продукт ориентирован на рынок здравоохранения США. Возможна релокация в США при успешном росте компании, обсуждается индивидуально. Tech Stack: • LangGraph + LangChain / Agentic AI • vLLM + Hugging Face • PyTorch + PEFT / LoRA / QLoRA • Vector databases: pgvector, Qdrant, Weaviate, Chroma, Pinecone • Advanced RAG, Prompt Engineering, Embeddings • FastAPI + PostgreSQL • Docker + Kubernetes + async processing: Arq / Celery / Redis Streams • Apache Airflow для data pipelines • AWS Cloud: EC2, S3, SageMaker, Lambda, RDS, Bedrock • Structured output: Outlines / Guidance / Instructor • Evaluation & observability: Langfuse, RAGAS / DeepEval, Prometheus + Grafana • MLOps practices Задачи: • Проектирование и разработка multi-step LLM agents и pipelines для обработки медицинских данных • Разработка production RAG-систем с высоким уровнем grounding и качеством citation • Деплой и оптимизация self-hosted LLM inference через vLLM с фокусом на cost и throughput optimization • Fine-tuning open-source моделей на domain-specific medical data с измеримым улучшением результата • Построение data pipelines и versioning для документов, embeddings и training data • Создание evaluation frameworks, guardrails и систем контроля hallucinations • Реализация reliable structured output и data extraction • Тесное взаимодействие с physicians и Platform Architect Требования: • Сильный hands-on опыт с production LLM systems: RAG, agents, inference • Опыт fine-tuning open-source LLMs: LoRA / QLoRA / PEFT, с измеримыми результатами • Опыт построения data pipelines и versioning для LLM / RAG workloads • Сильные навыки в evaluation, hallucination reduction и structured output • Production Python + FastAPI + async processing • Опыт с self-hosted inference: vLLM или аналогичные решения • Опыт GPU optimization • Английский язык на уровне C1: strong written and spoken communication skills • Bachelor’s degree или выше в Computer Science, Artificial Intelligence, Machine Learning, Data Science или смежной технической области • 5+ лет опыта в ML/AI • 1.5–2+ года опыта в production LLM projects • Опыт с MLOps Будет плюсом: • Опыт в medical / clinical NLP или regulated domains • Cost modeling и optimization of LLM workloads • MLOps и production fine-tuning pipelines • Apache Airflow, Prometheus / Grafana или AI Solution Architecture • Publications in relevant fields Условия: • Работа в early-stage HealthTech startup с продуктом для US healthcare market • Возможность участвовать в создании AI-powered платформы с реальным влиянием на healthcare-процессы • Офисный формат в Астане первые 7–9 месяцев, далее возможен hybrid/remote • Зарплата $4 000 – $5 000 USD gross + equity • Возможность релокации в США при успешном росте компании, обсуждается индивидуально

Задачи: — Разрабатывать и внедрять классические ML-модели для оценки рисков, выявления мошенничества, прогнозирования оттока и ценообразования. — Создавать функции на базе больших языковых моделей (LLM) и внутреннюю автоматизацию с использованием RAG-пайплайнов и агентных рабочих процессов. — Определять стратегию в области искусственного интеллекта, включая стандартизацию инструментов и разработку фреймворков оценки моделей. — Отвечать за полный жизненный цикл ML: от определения требований заинтересованных сторон до развертывания и мониторинга. — Сотрудничать с руководителем отдела данных для формирования возможностей ML/AI с нуля. Требования: — Опыт профессиональной работы ML-инженером не менее 4 лет с использованием Python в продакшене. — Глубокие знания классического машинного обучения, включая инженеринг признаков и валидацию моделей. — Практический опыт работы с фреймворками LLM, такими как LangChain, LangGraph или LlamaIndex. — Подтвержденный опыт создания систем RAG или продуктов на базе LLM для реальных пользователей. — Опыт работы с основными облачными провайдерами (AWS, GCP, Azure) и контейнерами. — Свободное владение английским языком в письменной и устной форме. Желательно: — Опыт работы с MLOps-инструментами, такими как MLflow, Airflow или Kubernetes. — Опыт работы в сферах финтеха, платежей или телекоммуникаций. Условия: — Комплексный страховой пакет, включающий медицинское, стоматологическое и профессиональное страхование. — 30 дней ежегодного отпуска и дополнительная оплата по уходу за ребенком. — Пособие на оздоровление в размере 5000 SEK и скидки на абонементы в спортзал. — Пенсионный план и программа бонусов на основе результатов работы. — Международная и разнообразная команда в Стокгольме.

Location: Metn, Lebanon The Company Toters is an on-demand e-commerce and delivery platform that enables customers to get anything in their city with the highest level of convenience. At Toters, technology is at the heart of everything we do. Our product teams build features that simplify customers’ lives, while our engineers create scalable solutions to deliver faster and more cost-effectively. If you thrive in a high-growth startup environment and want to help reshape how people shop across the Middle East, join us. Role Overview As a Senior Offensive Security Engineer (L5), you will own complex offensive security initiatives that span multiple teams. You will lead advanced penetration testing, red team exercises, and adversarial simulations to uncover systemic weaknesses in our web applications, APIs, mobile apps, cloud infrastructure, identity, payment-adjacent flows, and overall attack surface. You will act as a hands-on technical leader : influencing secure design decisions with evidence, mentoring mid-level and junior offensive engineers, and driving improvements that meaningfully reduce risk. Description In this senior role, you will take end-to-end ownership of offensive security efforts with a focus on high-impact outcomes. Your responsibilities include: Lead comprehensive penetration tests and red team / assumed-breach exercises targeting web applications, APIs, mobile applications, cloud infrastructure, and authentication systems (including identity and privileged-access paths). Lead mobile offensive testing on Android and iOS, including evaluation and bypass/validation of runtime protection, tamper resistance, certificate pinning / Certificate Transparency, and key/secret shielding using DexProtector or similar RASP / app-shielding tools, plus complementary tooling such as MobSF. Perform in-depth threat modeling and identify complex attack paths across services and trust boundaries (including authorization flaws, tenant isolation, token/session issues, edge/WAF bypass, and client-secret exposure). Deliver high-quality security assessment reports with clear risk ratings, business impact analysis, practical remediation guidance, and evidence quality that engineering and audit stakeholders can use in a SOC 2 and PCI DSS context—then re-test and validate fixes before closure. Collaborate with Engineering, DevOps, Product, and the Security Engineer track to influence secure architecture decisions and ensure vulnerabilities are addressed at the root cause. Develop and improve offensive security methodologies, tools, and automation to increase efficiency and coverage. AI-assisted testing is a must. Mentor mid-level and junior offensive security engineers, conduct offensive-focused code/design reviews, and help raise the overall security capability of the team. Participate in purple team exercises with the detection and incident response teams to improve defenses based on real attack simulations. Stay at the forefront of offensive security research, emerging threats, and TTPs, and assess their relevance to Toters. Contribute offensive input to security standards, policies, and secure development practices across the engineering organization (you advise; you do not own policy issuance or GRC evidence packs). Support structured disclosure (VDP / researcher reports) through reproduce, rate, de-duplicate, and validate. Key Qualifications Bachelor’s degree in Computer Science, Cybersecurity, or a related field, or equivalent practical experience. 6+ years of hands-on experience in offensive security, penetration testing, or red teaming. Strong expertise in web application, API, and mobile security testing (Android and iOS). Working knowledge of DexProtector or similar mobile shielding / RASP tooling: what it protects, how testers evaluate residual risk, and how to validate that hardening holds. Advanced proficiency with offensive security tools (Burp Suite, Metasploit, Cobalt Strike or equivalent adversary-emulation platforms, custom tooling, etc.). Proficient in writing robust, reusable scripts and small tools for automation (Python preferred, Bash for quick tasks). Solid experience with cloud security testing (AWS preferred) and infrastructure attack techniques. Proven ability to lead complex security assessments from scoping to reporting and remediation validation. Strong risk assessment and threat modeling skills, with the ability to communicate technical risks clearly to both technical and non-technical stakeholders. Familiarity with SOC 2 and PCI DSS as they apply to offensive work (scoped pentests, application/API/payment-adjacent testing, evidence-quality reporting). This role does not own control design or audit evidence collection. Experience mentoring engineers and influencing cross-team security practices. Excellent written and verbal communication skills in English. Nice to Have Industry-recognized certifications such as OSCP, OSCE, OSEP, CRTO, or PNPT. Experience running full-scope red team or assumed-breach exercises. Experience developing custom exploits, tooling, or automation for offensive security. Knowledge of MITRE ATT&CK and adversary emulation. AI and AI pentesting: testing LLM/agent applications (prompt injection, tool/plugin abuse, data-exfil via agents) and using AI-assisted pentest workflows with mandatory human review. Previous experience in high-scale e-commerce, delivery, or fintech environments, including payment API / tokenization / third-party PSP testing as a tester (not as PCI control owner). Fluency in Arabic and English (French is a plus). What We Offer Competitive compensation package. Discounts on Toters orders. First-class medical insurance. Ready to own offensive security at scale and help build a safer platform for millions across the Middle East? Apply now!

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity We are seeking a Marketing Analytics Director to lead the evolution of our marketing data stack and raise the analytical rigor of the entire marketing organization. This is a critical role for a builder-practitioner who works at the intersection of Data Science, Marketing Strategy, GTM, and AI Operations. You won't just report on the funnel. You will build the systems that make every analyst on this team sharper, including the AI agents themselves. As the Marketing Analytics Director , you will be the lead architect of our data-driven growth engine, connecting high-level strategy with advanced technical execution. You will move beyond traditional reporting to build a self-sustaining marketing ecosystem, leveraging Google BigQuery, Grafana, and agentic AI to create a unified source of truth and a culture of analytical rigor. Your mandate is to move the needle on demand generation across the entire marketing funnel, while raising the standard for how analytical work gets produced, challenged, and shipped across the org. You will architect a dual-track target-setting framework that balances high-velocity top-of-funnel growth with deep-funnel quality, ensuring GTM resources are directed toward high-converting user cohorts optimized for Grafana adoption and long-term retention. You will be expected to engineer the underlying data schemas, design predictive models, and implement the BI frameworks that shape our global GTM strategy. We are looking for a technical expert who can translate complex data into clear executive-level direction and who proactively builds systems that prevent AI-generated noise from drowning out actual signals. What You'll Be Doing Strategic GTM Partnership: Serve as the primary strategic partner to the GTM Leadership team (VP of Demand Gen, VP of Regional and Events, Head of Marketing Ops, CMO, Revenue Operations, Sales leadership and more), translating complex data into a clear roadmap for demand generation and revenue growth. Dual-Track Target Setting: Architect and own a sophisticated forecasting framework that balances top-of-funnel volume with high-intent lead quality, optimized for Grafana Cloud conversion and retention. Predictive Modeling and ROI: Develop and maintain machine learning models (Attribution, MMM, LTV) to predict campaign impact and steer budget allocation toward the highest-ROI channels. Data Warehouse Architecture: Oversee the structure of marketing data within Google BigQuery, ensuring a scalable single source of truth that connects product usage data with marketing touchpoints. Causal Inference and Inflection Hunting: Move beyond descriptive analytics to perform causal inference and predictive trend analysis. When the data shows an anomaly, whether a 3-month spike, a regional dip, or a campaign that overperformed, isolate the window and dig in. Executive Storytelling: Transform technical data outputs into clear, compelling narratives for the executive team and board. Deliver a succinct read and go deep where pushed. Utilizing AI and Automation Agentic Insights: Deploy LLM-powered agents (Claude Code, MCP-based tooling, or comparable) to monitor BigQuery datasets and automatically flag quality shifts in the funnel before they impact revenue. Autonomous Workflows: Implement orchestration patterns (N8N, custom MCP servers, or equivalent) to build self-healing data pipelines and automated responses to market signals, such as automated spend shifts based on conversion anomalies. Predictive Quality Scoring: Build and deploy AI-driven scoring models that separate high-value potential users from low-signal volume, helping Sales and Marketing prioritize effectively. What Makes You a Great Fit 8+ years in Marketing Analytics, GTM Strategy, or Data Science, with at least 2 years in a lead architect capacity (IC track or player-coach; people management not required) within a high-growth SaaS or PLG environment. Demonstrated history as a force multiplier. You can point to specific tooling, rituals, evaluator systems, or frameworks you built that made other analysts or the broader org measurably better. A portfolio of dashboards you personally produced is not sufficient. Data Science and Engineering: Mastery of SQL and Python required. Deep experience architecting data environments in Google BigQuery, Snowflake, or similar warehouses. Hands-on AI fluency as a builder, not a user. You have built and shipped agentic systems with Claude Code, MCP, or comparable tools. You understand where LLMs fail and how to design around those limitations. You have built evaluator agents, prompt-grading systems, or analytical quality tooling in production. Automation Proficiency: Hands-on experience building complex logic and integrations using N8N, custom API orchestration, or MCP-based tooling. Visualization and BI: Advanced proficiency in modern data stack visualization tools (Grafana, Looker, Tableau) to build executive-grade dashboards. Strategic Acumen: Proven ability to create structure in highly ambiguous environments and build target-setting frameworks from scratch. MarTech Ecosystem: Deep familiarity with connectivity between Salesforce, marketing automation, and product-led data streams. Executive presence with experience presenting to executive and board audiences, including sound judgment about what data is and isn't ready to share up the chain. Bonus Points For Education: Bachelor's or Master's degree in a quantitative field (Data Science, CS, Statistics, Business Analytics). MBA or MS in Data Science is a significant plus. In the US, the OTE compensation range for this role is $ 178,503 - $ 214,203. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Задачи: — Сбор, валидация и анализ данных из внутренних систем, разработка новых метрик и KPI. — Разработка ML-моделей для анализа временных рядов, прогнозирования сальдо счетов, LTV и оттока клиентов. — Кластеризация и сегментация базы, разработка моделей скоринга и расчет Life Time (LT). — Прогнозирование объема обращений и моделирование показателей эффективности (KPI) сервиса. — Формирование и проверка гипотез для улучшения ключевых бизнес-показателей на основе математических моделей. Требования: — Высшее образование в математике, финансах, экономике, информатике, физике, инженерии или аналогичных областях. — Исследовательский склад ума, творческий подход, настойчивость, инициативность, внимательность к деталям. — Критическое мышление и способность находить нестандартные подходы. — Уверенное владение инструментами BI аналитики, знание MySQL, Google Big Query, Python, Git. — Английский язык на уровне B2. Условия: — Работа в европейском офисе с отличным климатом. — Компенсация перелета и помощь с легализацией (релокационный пакет). — Конкурентная заработная плата, ДМС и пакет бенефитов. — Амбициозные задачи. — Работа в команде профессионалов в комфортабельном офисе в регионе с отличным климатом.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Senior Software Engineer to join the Business Systems team. In this role, you will design and implement the backend systems that power WHOOP’s internal operations, enabling scale and efficiency across the organization. You’ll architect and maintain critical services and integrations that support Finance, Operations, Member Services, and other business functions. By building reliable, secure, and performant systems, you’ll directly shape how WHOOP delivers value to its members and scales globally. RESPONSIBILITIES: - Architect, develop, and maintain backend services and APIs that power business-critical systems and integrations. - Lead the design and implementation of scalable data pipelines, automation, and workflows that improve operational efficiency. - Partner with stakeholders across the business to deeply understand needs and translate them into technical solutions. - Drive technical excellence through code reviews, best practices, and mentorship of other engineers. - Ensure reliability, performance, and security across backend systems, with a focus on scalability as WHOOP grows. - Contribute to long-term technical strategy for Business Systems and identify opportunities for automation and process improvement. QUALIFICATIONS: - BS in Computer Science, Engineering, or equivalent experience. - 5+ years of professional backend software engineering experience. - Strong proficiency in at least one modern backend programming language (e.g., Java, Python, Go, or similar). - Experience designing and maintaining APIs, integrations, and middleware. - Solid understanding of relational databases, data modeling, and query optimization. - Experience with cloud-based infrastructure (e.g., AWS, GCP, or Azure) and distributed systems. - Proven ability to collaborate cross-functionally and deliver solutions that balance business and technical needs. - Experience mentoring engineers and contributing to a culture of learning and growth. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.   This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $150,000 - $215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Задачи: • Ручное тестирование web и мобильных приложений (functional, smoke, regression); • Тестирование API (REST/GraphQL) через Postman, Swagger и аналогичные инструменты; • Создание и поддержка тестовой документации; • Анализ требований, поиск и сопровождение дефектов в Jira; • Анализ логов, работа с PostgreSQL, взаимодействие с разработчиками, аналитиками и DevOps. Требования: • Опыт ручного тестирования web/mobile и API; • Знание SDLC/STLC, Agile/Scrum/Kanban; • Опыт работы с Jira, PostgreSQL, Charles/Fiddler, TestFlight/Xcode; • Навыки анализа логов. Будет преимуществом: Appium, Python (pytest), Flutter, GitLab CI/CD, знание казахского языка. Условия: • современный офис в Алматы; • работа в офисе; • социальный пакет; • развитую корпоративную культуру; • карьерный рост;

Location: Remote, Colorado, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the role We're hiring a Product Manager to lead the dbt v2 roadmap — the future of dbt Labs' intellectual property and a critical driver of product-led growth. You will own net-new functionality in Fusion that identifies and monetizes local deployments of dbt, shipping net new features, many of which also land in dbt Core, as well as proprietary ELv2 plugins that integrate seamlessly with the dbt platform. This role is co-located with our dbt v2 engineering team in the US to accelerate execution, strengthen prioritization, and ensure tight alignment across product, engineering, and platform teams. You'll bridge open source product strategy with technical delivery and business impact, translating strategic investments into shipped features that drive the Fusion PLG motion. In this role, you will Own and deliver the dbt v2 roadmap, shipping net new functionality to dbt v2 like SQL comprehension, compute, governance, and SAO Define requirements for Fusion features that integrate seamlessly with the dbt platform and unlock enterprise value Keep the Fusion engineering team aligned, unblocked, and executing on a predictable cadence Contribute hands-on to the dbt Core / Fusion codebases, including code reviews, documentation, and small feature implementations Collaborate with OSS strategy leads, platform PM peers, and cross-functional stakeholders to deliver a unified roadmap What success looks like Shipping net-new features on a predictable quarterly cadence Measurable contribution to Fusion PLG growth metrics, including identification and monetization of local dbt deployments Hands-on contributions to dbt Core and Fusion code bases, including merged PRs and meaningful improvements to the open source codebase Strong execution and alignment across the Fusion engineering team You're a good fit if you have 5+ years of product management experience in technical domains such as developer tooling, data platforms, or open source software Strong grasp of system architectures, particularly for local deployments and how they scale to enterprise use cases Understanding of how open source investments drive PLG growth and product strategy Ability to bridge technical delivery with business impact, translating features into revenue and growth metrics Experience working with engineering teams to define, prioritize, and ship complex technical features Strong communication skills with empathy for open source contributors and enterprise users alike Nice to have Hands-on experience with dbt or similar transformation frameworks Background in plugin architectures, extensibility systems, or platform ecosystems Understanding of PLG motions and freemium-to-paid conversion strategies Experience with SQL engines, query optimization, or compute systems Prior experience as an engineer whose worked with modern development frameworks (examples: React, Typescript, Python, etc.) #LI-Remote The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Pay Range $226,657 — $283,322 USD The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $243,936 — $304,920 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Montreal, Canada; United States ON-SITE IN MONTREAL IS PREFERRED; REMOTE OR HYBRID IS POSSIBLE FOR THE RIGHT CANDIDATE. Role: As part of the System Engineering Department, the Flight Operations Engineer will participate, and coordinate the work needed for the definition, development and execution of the constellation operations, and the preparations, implementation, testing and verification of the operations procedures. Tasks: The Satellite Flight-Operations engineer will perform and participate in the following tasks and activities, depending on the background and experience of the candidate. Trade-off studies regarding the design, develop and testing of the satellite/constellation operations procedures. Development of Spacecraft In-Orbit Operations Procedures and oversight of their execution and associated trainings. Development of Satellite Operation Manuals, test procedures and oversight of their execution and associated trainings. Verification & Validation Matrices of the operations procedures for on-orbit commissioning, routine, and contingency operations of the mission. Support In-Orbit Test (IOT), anomaly resolution + FDIR. Support the Satellite Simulator Operation and script development. Must haves · Bachelor’s degree in engineering in a relevant field · At least 7 years of experience · Previous experience with LEO/MEO SatOps. · Experience with automated satellite operations and IOT · Experience in concepts of space and ground segment design, specification and integration, knowledge of Flight Software role in operations, Satellite Database Operations concept and telemetry structure concepts. · Knowledge in Python or other scripting languages Complementary skills/knowledge · AG1's Systems Tool Kit (STK) · Requirements Management tools such as DOORS/Windchill/Jama · Previous experience in Constellation Operations · The design, development and testing of new automated operations flows and scripts. · Experience creating or using models and/or simulation software. Demonstrated capability to efficiently work with little to no supervision Strong written and verbal communications skills in English, knowledge of French will be considered favorably

Location: Montreal, Canada; United States ON-SITE IN MONTREAL IS PREFERRED; REMOTE OR HYBRID IS POSSIBLE FOR THE RIGHT CANDIDATE. Open for candidates in Canada as well as the US Role: As part of the System Engineering Department, the Satellite and Payload System Test Authority will be responsible for the définition of Test Plans, Test Methods and Requirements, Ground Test Equipment definition support, implementation and testing in support of Digital  Telecommunication satellite payloads. Tasks The Payload Test Authority engineer will perform, be responsible and participate in the following tasks and activities: Trade-off studies to design and develop Test Plans for Satellites and Payloads, aligning with verification & validation matrices and Program objectives Lead and develop Test Methods and Test requirements; oversee Test Procedures and their execution Lead a cross-disciplinary team to converge on methodology and integration of the tests in accordance with the program requirements. Maintain the verification & validation Matrices over the course of the program life cycle all the way to on-orbit commissioning in coordination with the SatOps team Lead and coordinate Satellite and payload testing: EGSE, Test supervision, data analysis, trending…Test reports Support the development of Satellite Operation Manuals and associated trainings. Develop and support In-Orbit Test (IOT) and anomaly resolution. Must haves · Bachelor’s degree in Electrical engineering in a relevant field · At least 10 years of relevant practical experience in digital communication commercial application in the space domain Previous experience with LEO/MEO/GEO satellite communication systems Understanding of Phased Array Antenna with multiple active elements and knowledge of various modulation types, signal processing and Networking Systems Engineering experience in concepts of space and ground segment, specification and integration, knowledge of Flight Software, Satellite Database · Knowledge of Python or other scripting languages Complementary skills/knowledge Previous experience in Constellation Operations Development and testing of new automated methodologies Knowledge of requirements Management tools such as DOORS/Windchill/Jama Demonstrated capability to efficiently work autonomously and with little to no supervision Strong written and verbal communications skills in English, knowledge of French will be considered favorably

Задачи: — Отвечать за качество функций и покрытие тестами от анализа требований до релиза и мониторинга после релиза. — Разрабатывать, писать и проверять комплексные тест-планы и карты, определять QA-стратегии для сложных функций. — Разрабатывать и поддерживать автоматизированные тестовые скрипты на Python в собственной платформе автоматизации. — Проводить технический анализ, включая профилирование времени выполнения, анализ памяти и использование CPU/GPU на iOS и Android. — Отслеживать и исследовать регрессии, связанные с частотой кадров, временем загрузки и размером сборок. — Координировать командные плей-тесты, управлять нагрузкой QA для внутренних и внешних тестировщиков, отслеживать KPI QA. Требования: — Обширный опыт QA в мобильных играх, предпочтительно в F2P/LiveOps. — Практические навыки написания и поддержки автоматизированных тестов на Python. — Глубокие знания метрик производительности мобильных устройств (профилирование, память, частота кадров) для iOS и Android. — Опыт работы с инструментами управления тестированием (Xray, TestRail, Zephyr) и Jira Agile/Scrum. — Английский язык на уровне B2 (сильные письменные и устные навыки). — Опыт координации нагрузки между внутренними и внешними командами тестирования. Желательно: — Опыт с CI/CD инструментами, такими как Jenkins или GitLab. — Знакомство с Unity и инструментами профилирования мобильных устройств (Xcode Instruments, Android Profiler). — Знание Firebase, SDK, сторонних плагинов и базового SQL. — Опыт с AI-инструментами для тестирования и автоматизации рабочих процессов. Условия: — Гибридный формат работы с гибким графиком. — Современный офис в Берлин-Митте с игровыми зонами (настольный теннис, кикер). — Ежемесячный бонус на здоровье и фитнес (например, Urban Sports Club). — Годовой бюджет на профессиональное обучение и организованные корпоративные праздники. — Щедрый отпуск — 30 дней в году. — Регулярные социальные мероприятия, включая командные обеды, барбекю и кино-вечера.

Location: Montreal, Canada; United States ON-SITE IN MONTREAL IS PREFERRED; REMOTE OR HYBRID IS POSSIBLE FOR THE RIGHT CANDIDATE. Open for candidates in Canada as well as the US Role: As part of the System Engineering Department, the Senior Mission and Operations Satellite System Engineer will participate, and coordinate the work needed for the analysis, planning and definition of the constellation operations ConOps, and the preparations, testing and execution of the operations procedures. Tasks: The Satellite Flight-Operations engineer will perform and participate in the following tasks and activities, depending on the background and experience of the candidate. Trade-off studies to design, develop and simulate the overall Satellite LEOP plan. Development of Spacecraft In-Orbit Operations Procedures and oversight of their execution and associated trainings. Development of Satellite Operation Manuals, test procedures and oversight of their execution and associated trainings. Verification & Validation Matrices of the operations procedures for on-orbit commissioning, routine, and contingency operations of the mission. Support In-Orbit Test (IOT), anomaly resolution + FDIR. Support the ICD development activities both HW and SW/DB Support the Operations DevOps environment and tool-chain integration. Support the ConOps Mission Design, Trade Space Analysis, Modeling and Automation Support the Satellite Simulator Operation and script development. Must haves · Bachelor’s degree in engineering in a relevant field · At least 10 years of relevant practical experience · Previous mission design and analyses experience with LEO/MEO satellite systems. · Experience with automated satellite operations, especially design. Systems Engineering experience in concepts of space and ground segment design, specification and integration, knowledge of Flight Software role in operations, Satellite Database Operations concept and telemetry structure concepts. Experience creating or using models and/or simulation software. · Knowledge of Python or other scripting languages Knowledge of Matlab Knowledge of AG1's Systems Tool Kit (STK) Complementary skills/knowledge Previous experience in Constellation Operations Development and testing of new automated operations Knowledge of MS Excel, for the purposes of engineering analyses Knowledge of requirements Management tools such as DOORS/Windchill/Jama Demonstrated capability to efficiently work with little to no supervision Strong written and verbal communications skills in English, knowledge of French will be considered favorably

Location: Montreal, Canada; United States ON-SITE IN MONTREAL IS PREFERRED; REMOTE OR HYBRID IS POSSIBLE FOR THE RIGHT CANDIDATE. Open for candidates in Canada as well as the US Role: As part of the System Engineering Department, the Flight Operations System Engineer will participate, and coordinate the work needed for the analysis, planning and definition of the constellation operations ConOps, and the preparations, testing and execution of the operations procedures. Tasks: The Satellite Flight-Operations engineer will perform and participate in the following tasks and activities, depending on the background and experience of the candidate. Trade-off studies to design, develop and simulate the overall Satellite LEOP plan. Development of Spacecraft In-Orbit Operations Procedures and oversight of their execution and associated trainings. Development of Satellite Operation Manuals, test procedures and oversight of their execution and associated trainings. Verification & Validation Matrices of the operations procedures for on-orbit commissioning, routine, and contingency operations of the mission. Support In-Orbit Test (IOT), anomaly resolution + FDIR. Support the Satellite Simulator Operation and script development. Must haves · Bachelor’s degree in engineering in a relevant field · At least 10 years of relevant practical experience · Previous experience with LEO/MEO satellite systems. · Experience with automated satellite operations, especially design and IOT. Systems Engineering experience in concepts of space and ground segment design, specification and integration, knowledge of Flight Software role in operations, Satellite Database Operations concept and telemetry structure concepts. Experience creating or using models and/or simulation software. · Knowledge of Python or other scripting languages Knowledge of Matlab Knowledge of AG1's Systems Tool Kit (STK) Complementary skills/knowledge Previous experience in Constellation Operations Development and testing of new automated operations Knowledge of MS Excel, for the purposes of engineering analyses Knowledge of requirements Management tools such as DOORS/Windchill/Jama Demonstrated capability to efficiently work with little to no supervision Strong written and verbal communications skills in English, knowledge of French will be considered favorably

Location: San Francisco, CA | New York City, NY | Seattle, WA 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 The Computer Use team focuses on teaching Claude to see, use, and understand computer interfaces. As a Research Engineer on the team, you'll work on advancing our models' ability to reliably and safely operate real software. We're looking for someone who's genuinely excited about both the research and the product sides of computer use. Your work will translate directly into model improvements in our own and our customers' products. You can try Claude's computer use capabilities today through the Claude in Chrome extension and Claude Cowork. Key Responsibilities: Design and run experiments to improve Claude's perception and agentic capabilities Develop robust, reliable evaluation frameworks for measuring our models' ability to complete complex computer tasks Build and improve computer use and vision reinforcement learning training environments Create pipelines and tools to test and validate complex RL environments Collaborate with teams across the model training and infrastructure stack to improve our production training setup Partner with product teams to bring research advances into production Minimum Qualifications: Software engineering experience and proficiency in Python Experience training, fine-tuning, or evaluating machine learning models Strong communication skills and a collaborative working style Care about the societal impacts and safety of your work Preferred Qualifications: Experience training models for computer use or other agentic capabilities Experience with reinforcement learning, particularly in long-horizon or sparse-reward settings Familiarity with multimodal model training Experience building evaluations or benchmarks for agentic systems Experience building reinforcement learning environments, simulation systems, or large-scale ML infrastructure Experience working closely with product teams to drive model improvements 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: $500,000 — $850,000 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.

RELOCATION TO BERLIN Location: This role requires being on-site at the Berlin office for at least 80% of weekly working hours. Up to 20% mobile work is allowed from anywhere within Germany, with an option to work from abroad for this portion. Visa sponsorship is provided for joining from outside of Germany, and candidates planning to relocate to Berlin are welcome. Company: Bonial is a digital advertising partner for offline businesses, part of Axel Springer SE, and the leading "Drive to Store" partner in Germany and France, connecting millions of users with their favorite shops and brands. What you will do: — Lead and mentor a diverse hybrid team of software engineers. — Define and drive the technical vision and strategy for the Reach Ads product, ensuring alignment with business goals. — Oversee the entire software development lifecycle for Reach Ads, from planning to deployment. — Collaborate with Product and Development teams to build scalable solutions using Java, Python, and AWS. — Ensure system availability, stability, quality of service, and security standards are met. — Foster a culture of continuous learning, professional development, and transparent communication within the team. Requirements: — Extensive experience in software engineering and a strong background in team leadership. — Proficiency in Java and a good understanding of software architecture. — Experience or willingness to work with a distributed team. — Excellent communication and interpersonal skills. — Agile mindset and experience with modern development practices. — Strong problem-solving skills and a passion for staying ahead of industry trends and technologies. — Must be able to work on-site at the Berlin office for at least 80% of weekly working hours. — Ability to obtain legal work authorization in Germany. Nice to have: — Hands-on experience with third-party advertising platform integrations (Google Ads, Meta, DV360) and Adtech. Culture & Benefits: — High-growth and dynamic company leveraging AI for productivity and efficiency. — Strong support for professional development with a feedback culture. — Commitment to diversity and an equal opportunity workplace. — Wellbeing benefits including free access to nilo.health mental health app and partial Urban Sports Club subscription. — Flexible work policy allowing up to 20% mobile work within Germany and option to work from abroad for this portion, plus 28+ days of holiday. — Modern office in Berlin with a gym, Zen Rooms, roof terrace, and free lunch/snacks. — Social culture with regular team events.

Задачи: - поддерживать и развивать Kubernetes-платформу и инфраструктурные сервисы; - автоматизировать рутинные операции и сокращать количество ручных процессов; - диагностировать и устранять инциденты на уровне Linux, сети, Kubernetes, CI/CD и приложений; - взаимодействовать с командами разработки по вопросам развертывания, диагностики и сопровождения инфраструктуры; - предлагать и внедрять улучшения в инфраструктуру, шаблоны, стандарты и внутренние DevOps-практики. Требования: - уверенные знания Linux и практический опыт администрирования; - опыт работы с Kubernetes; - опыт построения и сопровождения CI/CD-пайплайнов (GitLab CI или аналогичные инструменты); - навыки автоматизации с использованием Bash, Python, Go или другого языка программирования; - опыт работы с системами мониторинга и наблюдаемости: Prometheus, Grafana, Alertmanager, Loki, ELK, OpenSearch, Zabbix или аналогами; - умение анализировать метрики, логи и алерты для поиска первопричин инцидентов и их устранения; - стремление развивать инфраструктуру, оптимизировать процессы и внедрять современные DevOps-практики.