Вакансии

Key Responsibilities: — Act as a peer and advisor to customer CTOs and CIOs, helping them navigate complex digital transformations and operationalizing the PagerDuty Operations Cloud within their organizations. — Represent PagerDuty as a thought leader at major industry events and through digital content, white-papers, and local media. — Partner closely with Global Product and Engineering leadership in San Francisco to ensure the unique requirements of the US markets are represented in the long-term roadmap. — Provide architectural oversight and executive presence for the most complex, high-stakes enterprise opportunities across the US. — Foster a local community of DevOps and SRE leaders, sharing best practices on operational excellence, incident response, and the ethical application of AI in operations. — Stay ahead of the curve on the competitive landscape, identifying market shifts and technical trends that PagerDuty can capitalize on. Requirements: — 15+ years of experience in technical leadership, solutions architecture, or product management within the SaaS, DevOps, or Cloud infrastructure space. — Proven track record of engaging with and influencing C-level executives at Fortune 500 or equivalent global enterprises, navigating complex organizations. — Proven ability to support and influence sales cycles with a solid grasp of sales processes and customer buying journeys. — Deep domain expertise in at least three of the following: Incident Management, SRE (Site Reliability Engineering), AIOps, Cloud Native Architectures, ITSM/ITIL, or Cybersecurity Incident Response. — Exceptional public speaking and written communication skills. — Ability to travel across the US and occasionally overseas. Preferred Qualifications: — Active involvement in the tech community (mentorship, open-source contribution, or advisory/board positions). — Experience navigating the regulatory landscape for US financial services or government sectors (e.g., FedRAMP) as it relates to cloud resiliency. Conditions: — Remote work based in the USA with location restrictions on certain states and provinces. — Full-time employment. Additional Information: — PagerDuty is an equal opportunity employer. — Provides reasonable accommodations for qualified individuals with disabilities. — Uses the E-Verify employment verification program.

Location: Москва Наша компания ищет опытного специалиста на должность руководителя управления по кибербезопасности. В рамках этого проекта успешный кандидат будет ответственен за разработку и реализацию стратегий и политик в области кибербезопасности для дочерней компании Сбера "Пульс". Оформление в ДЗО «Пульс». Обязанности * обеспечение защиты инфраструктуры, данных и автоматизированных систем ДЗО * развитие комплексной системы управления и обеспечения функции КБ ДЗО, управление деятельностью ДЗО в области КБ * Реализация политики КБ ДЗО, моделей угроз, разработка и актуализация внутренних нормативных документов по направлению КБ * организация и внедрение процессов управления КБ, в том числе, процессов мониторинга и реагирования на инциденты КБ, управления рисками КБ * выявление угроз и оценка рисков кибербезопасности для систем и компонентов информационной инфраструктуры ДЗО * повышение осведомленности в области КБ сотрудников ДЗО * Внедрение и сопровождение средств защиты информации (DLP, AV, VPN, SIEM, WAF и т.д.) * обеспечение КБ на этапах жизненного цикла разработки, внедрения и эксплуатации ПО в ДЗО * внедрение и развитие процессов безопасной разработки ПО в подразделении в соответствии с лучшими мировыми практиками (ФСТЭК, NIST, OWASP, Mitre ATT&CK) * эксплуатация средств безопасной разработки (OSA, SAST, DAST, SCA и т.п.) * проведение расследований инцидентов КБ, устранение их последствий, разработка корректирующих мероприятий * организация и проведение аудитов и оценок защищенности КБ * организация и ответственность за обеспечение КБ при доступе к АС, сервисам, ИТ-активам подразделения, в т.ч. удаленном доступе. Требования * высшее образование в области КБ или ИТ * опыт работы в области КБ от 10 лет, опыт работы CISO – от 4 лет * знание и опыт применения российских и международных стандартов в области КБ и требований регулирующих организаций в области защиты информации (149-ФЗ, 152-ФЗ, 98-ФЗ, 63-ФЗ, 187-ФЗ, РД и подзаконные акты, ISO, NIST, CIS Controls) * знания и опыт применения стандартов в области ИТ (TOGAF, ITSM, Cobit и др.) * навыки разработки нормативной документации КБ, подготовки отчетов; * знания мировых практик и фреймворков (BSIMM, SAMM и т.д.). Понимание и практический опыт в области разработки защищенного ПО (SSDLC), использования OWASP * знание основ культуры DevOps, CI/CDL/CDP, гибкой методологии разработки * понимание методологии формирования требований КБ при проектировании и разработке ПО в разрезе безопасности * понимание принципов работы веб-приложений, микросервисной архитектуры, контейнеризированных приложений, подходов к их защите; * опыт работы со средствами защиты информации (AV, VPN, SIEM, WAF и т.д.), средствами безопасной разработки (SAST, OSA/SCA, DAST и пр.), средствами контроля конечных устройств (EDR) * понимание принципов работы систем аутентификации и авторизации; * понимание принципов работы сетевой инфраструктуры * понимание принципов работы и организации операционных систем, сетей, баз данных и обеспечения безопасности хранения, обработки и передачи данныx * навыки расследования инцидентов КБ. Условия * Инновационные, амбициозные проекты и задачи, которые развивают: всегда есть возможность прокачать свои навыки в работе и профессионально расти; * Среда для обмена знаниями – высокая экспертиза внутри команды; * Сплоченная команда, работающая над общими задачами и умеющая хорошо отдыхать; * Нашу культуру создают сами сотрудники – мы их слышим и помогаем создавать и поддерживать корпоративные комьюнити по интересам * Стабильная заработная плата; * в пяти минутах от метро "Кутузовская", с фитнес залом; * Более 400 образовательных программ СберУниверситета для профессионального и карьерного развития;  * Расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа; * Гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ; * Подписка Прайм с возможностью использования трёх близких;

Location: Seville, Spain We currently have a vacancy for a Full Stack developer fluent in English, to offer his/her services as an expert remotely (within EU) . In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team. Your tasks: Designing and developing tools to interact with social media platforms and facilitate data collection workflows; Creating user-friendly front-end interfaces for data annotation and analysis purposes using modern frameworks and technologies; Developing back-end APIs and services to store, manage, and process data, and integrate with data analysis tools and pipelines; Writing scripts to automate tasks and workflows, using languages such as Bash and Python; Configuring and maintaining Linux-based systems for development and testing environments Ensuring the scalability, security, and performance of the tools using automation and monitoring tools; Providing technical support, troubleshooting, and maintenance for all developed tools. Requirements Master’s or PhD degree in Computer Science, Computer Engineering, or related field. with relevant IT professional experience of at least 7 years; Minimum 3 years of experience in automation and scripting using languages such as Bash and Python to streamline development workflows and system administration tasks.Experience in Python, JavaScript, and web development technologies (HTML/CSS); Minimum 3 years of professional experience in full-stack web development, including designing and developing tools and applications; Minimum 3 years of experience in designing and implementing front-end interfaces using modern frameworks (such as React) and web technologies (HTML/CSS, JavaScript); Minimum 3 years of experience in developing back-end APIs and services using frameworks such as Flask, including database design and integration; Minimum 3 years of experience in database management systems, including both relational databases (e.g., MySQL) and NoSQL databases (e.g., MongoDB); Minimum 3 years of experience in Linux system administration, including user management, networking, security, and system configuration; Minimum 3 years of experience with containerization technologies (such as Docker) and orchestration tools (such as Kubernetes); Minimum 3 years of experience with agile development methodologies, version control systems (such as Git), and project tracking tools. Experience with automation and scripting using Bash and Python for task and workflow optimisation; Experience with agile development methodologies and version control systems such as Git; Experience with project management software such as JIRA and Microsoft Project; Experience with collaboration platforms such as Confluence and SharePoint; Knowledge of reporting methods; Certifications in web development, front-end or back-end frameworks (e.g., React, Flask, or equivalent platforms), cloud computing platforms (such as AWS, Azure, or Google Cloud), containerization and orchestration technologies (such as Docker, Kubernetes, or equivalent platforms), database management systems, software engineering, DevOps, or related fields will be an asset. Excellent command of the English language. Benefits If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference: (20648/10/2026) We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential. You may also consider all our other open vacancies by visiting the career section of our web site ( www.eurodyn.com) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS ( www.eurodyn.com ) is a leading Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Stockholm, London, Nicosia, Hong-Kong, Valetta, etc). The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc or equivalent). We design and develop software applications using state-of-the-art technology. The group generates annual revenues in the range of EURO 40 million, with an EBITDA in the range of 20%. The value of our contract portfolio exceeds EURO 300 million. EUROPEAN DYNAMICS is a renowned supplier of IT services to government institutions, multinational corporations, public administrations and multinational companies, research and academic institutes. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in www.eurodyn.com/privacy. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.

Location: Los Angeles, USA Riot’s Enterprise Technology organization ensures Rioters have what they need to unlock their full potential, from secure and compliant systems to efficient business platforms that keep the company running smoothly. HR Tech & Systems builds and evolves the technology ecosystem that supports Rioters across the employee lifecycle. As a Staff AI & Data Engineer, HR Systems , you will bring deep AI and modern data engineering expertise to HR Systems, accelerating our evolution into an AI-augmented and data-enabled engineering organization. You will be a hands-on builder who designs and delivers AI agents, intelligent automations, data products, and reusable engineering capabilities across Riot's HR Technology ecosystem. You will combine strong AI and data engineering expertise with meaningful HR technology and domain knowledge. You will work across Workday, Databricks, and Riot's broader AI and enterprise technology ecosystem to turn trusted HR data and complex HR processes into secure, scalable solutions. Just as importantly, you will help build these capabilities within the existing team. You will pair with HR Tech engineers, establish practical engineering patterns, and provide hands-on mentorship in AI, Databricks, and modern development practices so the team can increasingly design, build, and support these solutions independently. You will partner closely with HR Tech & Systems, Enterprise Data & AI, Enterprise Software Engineering, HR COEs, and other Enterprise Technology teams. The role reports to the Senior Manager, HR Tech & Systems. Responsibilities: HR Technology Engineering & Automation Apply deep HR technology knowledge to discover opportunities and develop solutions across HR operations, recruiting, onboarding, compensation, benefits, learning, talent, workforce planning, and HR analytics. Leverage Riot's evolving AI and automation ecosystem, including tools such as Workato, Windsurf, Devin, and TrueFoundry, to accelerate development and delivery. Evaluate opportunities within HR Technology’s workflow and portfolio of applications, including SaaS and custom systems, to establish best practices and introduce new AI-enhanced capabilities. Partner with HR stakeholders, product owners, and technical teams to identify high-value opportunities and determine when AI, automation, data products, integrations, or native platform capabilities are the most appropriate solution. Translate complex HR processes, policies, and operational needs into scalable technical solutions that improve Rioter experiences and business outcomes. Drive solutions through the full lifecycle from discovery and prototyping through implementation, adoption, measurement, and continuous improvement. AI & Agent Engineering Design and build agentic AI solutions using LLMs, RAG, tool calling, memory, orchestration, and APIs to make business-context-aware decisions and take actions within defined guardrails. Leverage Databricks AI capabilities—including Unity Catalog, model serving, and vector search—and select appropriate models, prompting, retrieval, and orchestration patterns based on business needs, performance, scalability, and cost. Establish evaluation, testing, and observability practices that ensure AI solutions are accurate, grounded, reliable, safe, measurable, and production-ready. Design secure and responsible AI solutions with appropriate identity-aware access, human oversight, transparency, auditability, and controls for sensitive HR data and workflows. Partner with Enterprise Data & AI and Security to establish reusable AI patterns, standards, and guardrails, rapidly evaluating emerging capabilities and scaling those that demonstrate measurable business value. Data Engineering & Architecture Design scalable HR data pipelines, products, and domain models on Databricks using medallion architecture and Unity Catalog to provide governed, secure access to trusted HR data. Integrate structured and unstructured data across Workday, Databricks, enterprise applications, and AI services using MCPs, APIs, events, pipelines, and modern orchestration patterns. Establish data products, contracts, semantic models, and metadata that define ownership, business meaning, quality, lineage, freshness, and appropriate use of HR data. Ensure HR data is fit for analytics and AI through clear source-of-truth definitions, standardized business concepts, and strong data quality, privacy, security, and governance practices. Design resilient architectures that appropriately balance scalability, performance, reliability, and cost in partnership with Enterprise Data & AI and system owners. Team Enablement & Engineering Excellence Mentor and pair with HR Tech engineers to build AI agents, Databricks solutions, data products, and automations, growing sustainable AI and data engineering capability across the team. Establish reusable architectures, development patterns, documentation, and engineering standards that enable the team to independently build and scale solutions. Partner with the HR Tech & Systems Development Lead to establish AI/agent observability, reliability, adoption metrics, and SLA/SLO practices while optimizing architecture, model usage, and compute for performance and cost. Partner with technical leaders across Enterprise Technology to align HR Tech solutions with broader architecture and engineering standards. Required Qualifications: 7+ years of software engineering, data engineering, AI/ML engineering, solution engineering, or related technical experience, with demonstrated experience designing and delivering production solutions in enterprise environments. Demonstrated hands-on experience building and deploying generative AI and/or agentic AI solutions using LLMs, RAG, tool calling, orchestration, APIs, and modern AI architectures. Demonstrated experience designing and delivering secure, resilient enterprise integrations within event-driven architectures using MCPs, APIs, webhooks, orchestration platforms, AWS lambda and relevant SaaS capabilities, with robust authentication, authorization, idempotency, retry, and error-handling patterns. Hands-on experience with Databricks, including Unity Catalog, medallion architecture, and AI capabilities such as model serving, vector search, or Mosaic AI. Experience designing scalable data pipelines, data models, and data products using structured and unstructured enterprise data. Meaningful hands-on experience with HR technology, HR data, and employee lifecycle processes, including enterprise platforms such as Workday, VNDLY, Greenhouse, or ServiceNow. Bachelor's degree in Computer Science, Information Systems, Software Engineering, Data/AI, or a related field, or equivalent practical experience. Desired Qualifications: Deep hands-on experience with Workday, including integrations/APIs, Extend, Prism, reporting, Business Process Framework, or Workday data architecture. Experience with MCP, multi-agent architectures, enterprise knowledge systems, semantic search, and advanced RAG architectures. Experience with Workato, Windsurf, Devin, TrueFoundry, Microsoft Copilot, or comparable AI development, automation, and deployment platforms. Experience with AWS, GCP, or another major cloud platform, including CI/CD, DevOps, and production observability. Experience with HR Analytics, workforce planning, talent intelligence, or other HR domain data models. For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role This is an overnight shift role with working hours of 12:00am - 7:00am EST. As a Support Engineer on our U.S. Government Support Engineering team, you operate at the critical intersection of Support and Engineering, enabling public sector organizations and United States government agencies to run GitLab in some of the most secure and constrained environments in the world. Your work directly supports national security missions, including customers operating within FedRAMP-authorized, air-gapped, and classified or semi-classified environments where traditional troubleshooting approaches are not always possible. In this role, you will engage deeply with GitLab through the command line; analyzing logs, system behavior, and application performance with strong Linux fundamentals and an understanding of how GitLab’s components interact end-to-end. You may partner with Product and Engineering to reproduce and document edge-case defects using sanitized or redacted data, or contribute directly to the product by opening merge requests that resolve customer-impacting issues. Beyond resolving individual cases, you’ll help strengthen GitLab by improving documentation, support workflows, and institutional knowledge, ensuring that lessons learned in highly regulated environments benefit the broader platform; all while working in a fully remote, highly collaborative environment built on trust, autonomy, and shared ownership. Some examples of our projects: A tool to quickly analyze strace output A solution to capture the state of a customer’s server for easier troubleshooting A functionality to ChatOps to make it easier to identify user accounts on GitLab.com What you’ll do Collaborate closely with public sector customers, including U.S. government agencies, the Department of War, and Intelligence Community organizations, to diagnose, troubleshoot, and resolve complex issues in GitLab deployments operating under strict security, compliance, and operational constraints. Perform deep, hands-on technical investigations using Linux command-line tooling and GitLab internals to analyze logs, system performance, and application behavior, often with limited telemetry or incomplete datasets. You will trace issues across infrastructure, application, and code paths to identify root causes, recommend mitigations, and drive durable fixes; frequently partnering with GitLab Product, Development, and Infrastructure teams to ensure outcomes that meet both mission and platform reliability requirements. Create and update clear, reusable documentation and support content based on real customer interactions to improve self-service and reduce repeated issues. Participate in regular pairing sessions with other Support Engineers and act as a stable counterpart to cross-functional teams to share knowledge and improve support processes. Contribute to building and refining internal support tools and workflows, including automation and troubleshooting utilities, to make diagnosing and resolving issues more efficient. Participate in weekday and weekend on-call rotations, providing timely emergency support for self-managed customers operating in restricted and compliance-focused environments. Support the growth of the team by reviewing applications and assessments, and participating in interviews and hiring decision discussions. What you’ll bring Due to government security requirements, you must be a United States Citizen (defined as any individual who is a citizen of the United States by law, birth, or naturalization) to be eligible for this position Experience managing customer-facing cases across the full support lifecycle, from initial inquiry and triage through reproduction, escalation, and resolution Strong Linux systems administration knowledge, with the ability to troubleshoot performance and configuration issues in complex environments Familiarity with AI/LLM-powered developer tooling and gateway architectures (for example GitLab Duo, AI gateway configurations, or similar model-serving/proxy layers), including how they're deployed and troubleshot in self-managed or air-gapped environments Ability to use scripting languages (preferably Ruby or Bash) and work within model-view-controller frameworks (preferably Ruby on Rails) to investigate and resolve issues Practical experience with Git and continuous integration/continuous delivery (CI/CD) workflows Skill in creating and maintaining clear, accurate support content and technical documentation Ability to explain complex technical topics in a clear, empathetic way to customers and coworkers with varying technical backgrounds Familiarity with DevOps practices and container-orchestration technologies such as OpenShift and Kubernetes Understanding of common information security and compliance concepts and controls (for example DISA STIG and SELinux), and eligibility to work on United States federal customer environments as required for this role About the team At GitLab Federal, LLC, the U.S. Government Support Engineering team partners with public sector organizations and United States government agencies to support GitLab in highly secure, mission-critical environments. Our work directly enables national security outcomes, supporting customers across the Intelligence Community, Department of War, and other federal, state, and local government entities operating within regulated and restricted boundaries. We are embedded within Support Engineering and work closely with Product, Development, Infrastructure, Customer Success, and Sales to solve complex, high-impact technical challenges. Our team frequently dives into code, logs, and architectural behavior to understand not just what is failing, but why; especially in environments with sanitized data, limited visibility, and strict compliance controls such as FedRAMP. We collaborate asynchronously across time zones and through structured pairing and discussion to share knowledge, strengthen solutions, and continuously improve how GitLab supports secure, air-gapped, and regulated deployments, while upholding GitLab's standards for rigor, transparency, and technical excellence. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $95,200 — $160,800 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Задачи: — Оптимизация производительности — Написание тестов — Работа с внешними сервисами и API — Использование экосистемы .NET — Взаимодействие с разработчиками, аналитиками, тестировщиками и менеджерами проектов для согласованного процесса разработки — Освоение новых версий .NET и сопутствующих библиотек — Освоение требуемых IDE, LLM, AI инструментов — Улучшение знания смежных технологий, в том числе DevOps Требования: — Высшее техническое образование — Опыт работы в команде от 3 лет — Уверенное владение C# — .NET Core 8+ — Понимание и применение SOLID — Знание протокола HTTP — Опыт разработки WEB API — Опыт работы с микросервисной архитектурой — Понимание структур данных и алгоритмов — Работа с БД через Entity Framework — Знание SQL: умение писать сложные запросы — Unit, интеграционное тестирование — Уверенное использование Git — Опыт интеграции сторонних библиотек и SDK — Опыт использования AI инструментов в разработке Будет плюсом: — Full stack — React JS — PostgreSQL — Опыт построения CI/CD — Опыт использования подхода Spec Driven Development — Инструментальное владение AI для анализа, генерации и автоматизации Условия: — Комфортный современный офис в Москве (Варшавское шоссе, 25Астр6) — График работы – офис, гибрид после испытательного срока — Ежегодный пересмотр зарплаты, годовая премия — Корпоративный спортзал и зоны отдыха — Более 400 образовательных программ СберУниверситета для профессионального и карьерного развития — Расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа — Ипотека выгоднее до 7% для каждого сотрудника — Подписка Прайм с возможностью совместного использования на трёх близких — Вознаграждение за рекомендацию друзей в команду Сбера.

Location: Remote, United Kingdom GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. What this role is about You'll manage a team of Assigned Support Engineers who provide relationship-based technical support to GitLab's biggest enterprise customers. ASEs work proactively with customers to find root causes and prevent repeat issues, which is different from working a ticket queue. They also turn their actions and activity into outcomes and deliverables that show customers the ROI they get from GitLab. You'll build a team that works independently, owns issues from start to finish, and knows when to ask for help. When a customer relationship is in trouble, you'll work alongside the account teams to bring it back to health. You'll also help improve the ASE program in ways that matter to customers and to the company. What you'll do Hire, coach, and develop ASEs. Hold regular 1:1s, give direct feedback, deal with performance issues early, and build a team where people feel safe raising problems. Pay attention to engagement and retention, and coach the team on GitLab's values and operating principles. Train ASEs to run technical interviews so the hiring pipeline doesn't depend on you. Set clear goals and expectations, track progress across onboarding, relationships, escalations, and KPIs, and connect the team's work to company priorities. Help ASEs prioritize across accounts when everything feels urgent. Lead escalations from start to finish. Work with Engineering, Product, Sales, and Customer Success to get the right people moving, and keep the customer informed and confident in the plan. Work alongside the account teams to bring at-risk customers back to health, including renewal and expansion risk driven by support concerns. Build the recovery plan, drive the technical side, and report on progress until the customer is stable. Help ASEs translate their actions and activity into outcomes, deliverables, and ROI, and present that to customers and executives in clear decks that cover what happened, what you're doing about it, and what comes next. Work with the ASE leadership team on initiatives that improve the program and customer outcomes, and see yours through to results. Partner with Sales, Customer Success, CSMs, Product, and Engineering to push for what customers need, and contribute utilization and onboarding data to capacity and headcount planning with Finance and sales leadership. Document how the team works and find ways to make it more efficient through tools, process changes, and automation. Use AI well in your own work and coach ASEs to do the same. What you'll bring 5+ years in technical support, with at least 2 years managing customer-facing technical teams. Experience with high-touch or assigned support for enterprise customers. Professional services delivery counts. Experience across Self-Managed, GitLab Dedicated, and GitLab.com is a plus. A strong record of handling escalations with both internal teams and customers. You stay calm, keep people aligned, and know when to bring in leadership. The ability to turn a complicated or nuanced situation into a clear written story and tie activity to outcomes with numbers. A customer-centric approach balanced with good judgment about what the service, the team, and the company can deliver, and experience working with account teams to bring struggling customers back to health. A record of getting work done across teams through influence and strong working relationships. You can work with Sales, CS, and account teams to set clear expectations for the ASE service and find the right path for each customer. Willingness to be available outside standard hours, including weekends, for the occasional critical escalation or customer-impacting incident. Comfort with ambiguity and change. You keep a team steady while priorities, processes, and the program evolve, and you explain the reasons for changes so people stay engaged. A strong technical foundation to guide engineers in complex, production-critical environments, including Linux system administration and web application development concepts. Familiarity with Git, DevOps practices, or GitLab is helpful. A history of developing engineers at different skill levels through real feedback, mentoring, and clear expectations. Process skills that make a team more efficient without adding bureaucracy, and comfort leading a remote, globally distributed team using metrics and customer feedback. About the team The ASE team is spread across AMER, EMEA, and APAC and works mostly async, with regular pairing sessions, 1:1s, and Slack. We support GitLab's largest and most strategic customers, who run GitLab in production-critical environments. We dig into code and logs, work across departments, and focus on root cause, trends, preventing repeat issues, and providing the technical acumen that helps customers get the most value out of GitLab for their business. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: CAN: Vancouver (333 Seymour St) Workplace: Hybrid The role / impact You will deliver high-quality, impactful software that aligns with team and business goals, always keeping customer needs and outcomes front of mind. By identifying and solving complex, ambiguous problems independently, you will produce robust, high-quality, and scalable software that helps change the world by supporting small businesses. Your daily work will focus on systems, scalability, and engineering quality while collaborating across teams to drive technical excellence and developer efficiency. Through clear and thoughtful communication, you will ensure stakeholders are well-informed and aligned. You will play a key part in fostering an inclusive team culture by mentoring others and sharing feedback with empathy. Your active participation in planning, delivery, and continuous improvement will contribute directly to the success of the broader Xero community. The team / how they connect You will join the Accounting Core team within Product Platforms, which forms the critical foundation underneath core product areas like invoices, bills, payments, and payroll. The team exists to make it easy for other groups across Xero to build on a strong foundation of accounting concepts, data, and libraries safely and efficiently. Operating across Wellington and Vancouver, we collaborate closely to reduce tight coupling, establish clear service boundaries, and accelerate product velocity global-wide. The team is currently working on / Initially, you will focus on - Transitioning from a monolithic architecture to modern microservices to remove delivery bottlenecks and improve efficiency. - Building and operating services in a production cloud environment utilizing C#, .NET Core, and AWS. - Resolving complex legacy problems, database scalability challenges, and modernizing service interfaces or APIs. - Automating manual processes and applying test-driven and trunk-based development practices. Where and how you can work This role is based at our on-site location in Vancouver. We operate on a hybrid model where you will spend one to two days a week in the office for collaborative technical discussions and team alignment, with the flexibility to work from home on the other days. You will also have the opportunity to travel to New Zealand for onboarding after your first couple of weeks. Here are some of the things we are looking for - You bring proficient backend development experience with one or more programming languages such as C#, .NET, Java, or Go. - A solid understanding of distributed systems concepts, including service-to-service communication, eventual consistency, and resilience patterns belongs in your toolkit. - Your background features practical experience working with relational databases where transactional data integrity and ACID principles are critical. - Having a familiar working knowledge of modern DevOps practices, automated testing, and continuous integration pipelines will help you succeed. - Showing an interest in utilizing modern artificial intelligence tools will enable you to enhance personal productivity and streamline engineering workflows. - You possess strong communication and collaboration skills, with the capacity to manage internal stakeholders like a technical product partner. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team. Compensation & Total Rewards At Xero, we value the impact and skills you bring to the team. We believe in a Total Package philosophy - ensuring your value is recognized through a holistic lens that includes base salary, performance incentives, and world-class benefits. The expected base salary range for this role is 131,800 - 150,000 CAD. Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role. In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: - Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. - Comprehensive Benefits: World-class health, wellness, and retirement programs. Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ including Wellbeing days, generous leave, and dedicated professional development budgets. This is a posting for an existing vacancy. Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.

Задачи: — Вместе с менеджерами по продажам находить решение задач клиентов с помощью продуктов компании — Оценивать ресурсы, разбираться с требованиями, прорабатывать архитектуру предлагаемого решения, создавать и демонстрировать прототипы — Планировать и контролировать работу в командах разработки и компаниях подрядчиках для выполнения контракта — Реализовывать отечественные и международные проекты Требования: — Английский язык на уровне Intermediate или выше — Опыт управления IT-проектами, связанными с интеграциями ПО: контроль сроков, процессов и конечного результата — Умение строить эффективные коммуникации со всеми заинтересованными лицами на проекте — Опыт реализации сложных интеграционных проектов длительностью от полугода — Готовность к редким командировкам — Бэкграунд в разработке, тестировании, системной аналитике или DevOps будет плюсом Условия: — Формат работы: удаленно, с возможностью гибридного формата в офисах в Москве, Санкт-Петербурге, Новосибирске и коворкингах в ряде городов — Зарплата обсуждается индивидуально — Аккредитованная IT-компания — Полностью белая зарплата — Дополнительные дни отпуска за стаж работы в компании — ДМС и возможность получать онлайн-консультации терапевта, невролога, психолога и медицинского агента

Workplace: remote Requirements Degree in Computer Science, Software Engineering, or equivalent Strong technical background with 5+ years of software development experience Hands-on Knowledge of object-oriented design and SOA 4+ years developing and implementing in Microsoft Dynamics 365 solutions, committed personality & eager to learn Strong programming skills using: X++, C#, .NET, and SQL Familiarity with SOAP, REST, OData Experience with Logic Apps and Azure Cloud Excellent communication, interpersonal, and problem-solving skills Experience integrating applications with external systems Knowledge of Microsoft Life Cycle Services and Data Migration Framework Experience working with Power Platform, APIs can fix & develop API for different projects EX: mobile app Familiarity with Agile methodologies (SCRUM) Exposure to Azure DevOps Fluent English Responsibilities Customize Dynamics 365 for Finance and Operations Work with Program Managers, analysts, consultants, and the development team to identify and implement innovative solutions to business solutions Contribute to the estimating of engineering designs and implementations Perform thorough and efficient code reviews Design and implement code solutions to increase system optimization, maintainability, scalability, security, testability, and stability Follow standards and practices established by the Software Solutions team to ensure solutions address both functional and non-function Requirements in a consistent manner across the organization Test and release software using established standards and practices in collaboration with the Quality Assurance Team We offer Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota Competitive compensation that depends on your qualification and skills Career development system with clear skill qualifications Flexible working hours aligned to your schedule Options to work remotely Corporate medical insurance covering services of private and public medical centers English courses online Corporate parties and events for employees and their children Internal conferences, workshops and meetups for learning and experience sharing Gym membership compensation 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate Any questions? Dina hh@itransition.com

Location: Moldova Company Background Coherent Solutions is a global digital product engineering company founded in 1995 and headquartered in Minneapolis, Minnesota. With a presence in nine countries and a team of more than 1,700 engineers, the company provides custom software development and engineering services across web and mobile applications, cloud, DevOps, and data. Coherent Solutions works with clients worldwide to build and scale digital products while fostering a culture of collaboration, transparency, and continuous professional growth. Project Description You will work with senior engineers on internal classical machine learning initiatives. The role combines structured learning, practical delivery, and gradual ownership of increasingly complex tasks. Technologies Python, pandas, NumPy, scikit-learn, Jupyter SQL XGBoost, LightGBM MLflow FastAPI Git, Docker, pytest What You'll Do Prepare and validate structured datasets for machine learning tasks, including cleaning, transformation, encoding, scaling, and missing-value handling; Conduct exploratory data analysis to identify patterns, data quality issues, and opportunities for modeling; Build, test, and compare ML models for tasks such as regression, classification, clustering, dimensionality reduction, and anomaly detection; Develop and select features with guidance from senior engineers; Run experiments, tune model parameters, and evaluate results using appropriate validation approaches and metrics; Help maintain reproducible ML pipelines, notebooks, experiment tracking, and technical documentation; Write and maintain automated tests for data and model-related code; Support the delivery of models through REST APIs or batch-processing workflows; Document model assumptions, results, limitations, and technical decisions; Work closely with senior engineers, incorporate feedback, and gradually take ownership of more complex tasks; Job Requirements 1+ year of hands-on Python development experience, including experience with pandas, NumPy, scikit-learn, and Jupyter; A strong foundation in statistics, probability, and linear algebra, plus exploratory data analysis skills; An understanding of supervised and unsupervised learning, and practical experience with regression, classification, clustering, dimensionality reduction, and anomaly detection; Experience preparing structured datasets, including cleaning, transformation, encoding, scaling, and missing-value handling, plus practical feature engineering and feature-selection skills; An understanding of train/validation/test splits, cross-validation, data leakage, overfitting, and regularization; the ability to select appropriate evaluation metrics, compare models, and perform error analysis; Familiarity with hyperparameter tuning and reproducible ML pipelines; SQL skills for data extraction and analysis; The ability to expose models through REST APIs or batch-processing workflows; Familiarity with Git, automated testing, Docker, and basic model monitoring; The ability to explain model behavior, assumptions, limitations, and results; English at B2 level or higher; Nice To Have XGBoost, time-series analysis, recommendation systems, MLflow, model interpretability, cloud services, production ML monitoring, and GenAI, LLM, RAG, prompt-engineering, or agent-development experience; What Do We Offer The global benefits package includes: Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional grow and development; Health insurance; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days.

Задачи: — Проектирование архитектуры высоконагруженных распределённых систем с горизонтальным масштабированием, отказоустойчивостью, балансировкой нагрузки, кэшированием, очередями, rate limiting, graceful degradation. — Проектирование архитектуры ML/LLM-сервисов для промышленной эксплуатации: inference-serving, batch/online processing, fvector storage, orchestration пайплайнов, GPU workload management. — Встраивание ML-сервисов в корпоративную архитектуру: интеграция с API Gateway, IAM/SSO, корпоративными шинами, системами мониторинга и журналирования. — Применение микросервисной и событийной архитектуры: микросервисный подход, SOA, event-driven architecture, async-взаимодействия, брокеры сообщений и потоковая обработка данных. — Контейнеризация и оркестрация с использованием Docker, Kubernetes, Helm, ingress/service mesh, деплой и эксплуатация контейнеризированных решений. — Проектирование решений для облачной и on-prem архитектуры, включая hybrid architecture, multi-zone deployment, disaster recovery, backup/restore, SLA/SLO/SLI. — Проектирование интеграционных технологий и API: REST, WebSocket, контрактов взаимодействия, схем авторизации и маршрутизации. — Обеспечение безопасности и соответствия корпоративным стандартам: TLS/mTLS, JWT, OAuth2, OIDC, SAML/ADFS, RBAC/ABAC, secrets management, защита ПДн и чувствительных данных. — Архитектура хранения и обработки данных с PostgreSQL, Redis, Object Storage. — Проектирование мониторинга и сопровождения сервисов: метрики, логи, трассировки, алерты, capacity planning, performance profiling, incident/problem management. — Применение MLOps / DevOps практик: CI/CD для ML-сервисов, model registry, experiment tracking, reproducibility. — Использование Python, SQL, Bash, Git для разработки и проектирования архитектуры. — Подготовка архитектурной документации: C4/UML, схемы интеграции, NFR, ADR, security/data flow diagrams. Требования: — Практический опыт работы системным/solution/enterprise architect от 3 лет, общий опыт в ИТ от 5 лет. — Опыт с LLM-продуктами или платформами данных. Дополнительно: — Опыт проектирования GPU-инфраструктуры и inference-контуров для LLM/embedding/reranking сервисов. — Понимание особенностей vLLM, Triton Inference Server, ONNX Runtime, MLflow, ClearML. — Опыт выбора архитектуры под разные профили нагрузки: low latency / high throughput / batch / streaming. — Навык оценки стоимости владения архитектурой: CAPEX/OPEX, стоимость GPU/CPU/Storage/Network. — Опыт проектирования мультитенантных платформ и контуров изоляции. — Знание практик FinOps / Capacity planning будет плюсом. — Опыт прохождения архитектурных комитетов, согласования решений с ИБ, инфраструктурой и корпоративными архитекторами. — Навык формализации нефункциональных требований: производительность, доступность, безопасность, сопровождаемость, масштабируемость. — Понимание специфики корпоративной интеграции: legacy-системы, ограниченные контуры. Условия: — Работа по договору с ИП (статус ИП у кандидата). — Удалённый формат работы. — Срок работы до конца ноября с возможной пролонгацией. — Почасовая оплата от 1500 до 2000 рублей без НДС.

Задачи: — Руководить командой лидеров frontline, управлять стратегией аккаунтов, выполнением сделок, операционным совершенством и развитием команды в регионе. — Вести исполнение на региональном уровне, участвуя в стратегических и значимых возможностях, обеспечивая согласование с высшим руководством и технический авторитет. — Разрабатывать и внедрять масштабируемую методологию для ускорения роста предприятия, демонстрируя клиентам, как решения Datadog по наблюдаемости и безопасности обеспечивают измеримые бизнес-результаты, особенно в эпоху Agentic AI. — Партнерство с руководством продаж по региональной стратегии, планированию на несколько кварталов, ежегодному планированию ресурсов и согласованию прогнозов. — Контролировать качество технических продаж в регионе, включая оценки, взаимодействия с клиентами и продвижение сделок. — Руководить, обучать и развивать команду лидеров Sales Engineering, обеспечивая рост и вовлеченность. — Нанимать и вводить в должность талантливых специалистов и менеджеров, формируя высокоэффективную команду. — Управлять региональными операциями: распределение ресурсов, использование, отслеживание KPI, развитие навыков. — Сотрудничать с отделами продаж, продукта, маркетинга, обучения и поддержки для согласования стратегии и улучшения клиентского опыта. — Повышать операционное совершенство, улучшать процессы, поддерживать качество данных и масштабировать оценочные рамки. — Отслеживать конкурентные изменения, рыночные тенденции и новые технологии для позиционирования Datadog как лидера в области облачной безопасности. Требования: — Более 5 лет опыта руководства frontline SE лидерами в технической клиентской организации с доказанной способностью управлять производительностью и развивать команды. — Более 10 лет опыта в Sales Engineering, Solutions Engineering или технической клиентской роли. — Успешный опыт руководства командами решения задач с участием старших заинтересованных лиц из Product, SRE, DevOps и инженерных команд. — Проактивность, постоянное внедрение новых идей и улучшение эффективности работы SE. — Способность работать на стратегическом и операционном уровнях, балансируя планирование и ежедневное выполнение. — Умение влиять на кросс-функциональные команды и управлять сложными совместными продажами, включая партнеров и каналы. — Отличные навыки коммуникации и управления заинтересованными сторонами внутри компании и с клиентами. — Умение просто и понятно объяснять сложные концепции безопасности для технической и бизнес-аудитории. — Страсть к построению масштабируемых процессов и созданию инклюзивной командной культуры. — Опыт успешных технических продаж в масштабах. — Исключительные лидерские, коучинговые и командообразующие навыки. — Знания в области публичных облаков (AWS, Azure, GCP), Kubernetes, APM/tracing, безопасности, опыта разработчиков, наблюдаемости или смежных SaaS технологий. — Глубокое понимание методологий продаж, таких как MEDDICC, Command of Message (CoM) или аналогичных. — Опыт использования и масштабирования AI инструментов. — Готовность к командировкам по необходимости. Условия: — Работа в гибридном формате с возможностью удаленной работы. — Конкурентная годовая зарплата от $180,000 до $240,000 USD. — Пакет акций (RSU) и программа покупки акций для сотрудников (ESPP). — Комплексные глобальные льготы, включая медицинское страхование, стоматологию, планирование семьи, поддержку психического здоровья, пенсионный план 401(k) с соответствием, оплачиваемый отпуск, компенсацию фитнеса. — Программы наставничества и профессионального развития. — Инклюзивная корпоративная культура с сообществами и мероприятиями по инклюзии. О компании: Datadog — ведущая платформа наблюдаемости и безопасности для эпохи ИИ, объединяющая приложения, инфраструктуру, данные, модели и безопасность в одном месте с использованием ИИ для обнаружения и решения проблем до того, как они повлияют на клиентов. Компания обслуживает Fortune 500 и лидеров в области ИИ по всему миру. Равные возможности: Datadog предоставляет равные возможности трудоустройства всем кандидатам независимо от расы, цвета кожи, религии, пола, национального происхождения, сексуальной ориентации, возраста, гражданства, семейного положения, инвалидности, гендерной идентичности, статуса ветерана и других защищенных законом характеристик. Рассматриваются кандидаты с уголовным прошлым в соответствии с законодательством. Политика конфиденциальности и ИИ: Информация, предоставленная в процессе подачи заявки, обрабатывается согласно политике конфиденциальности Datadog. Для информации о политике ИИ посетите соответствующую страницу. Для отклика: https://weworkremotely.com/remote-jobs/datadog-director-enterprise-sales-engineering-us-central

Location: Москва _О нас:_ Мы — ИТ-кластер Интегратор, который строит интеграции Сбера с государством: СМЭВ, ФНС, ФТС, ЦБ. Через наши сервисы проходит юридически значимый документооборот банка и клиентов. В кластере 6 продуктовых команд, Devops и OPS. Портфель включает развитие действующих интеграций и запуск новых продуктов: ЭДО для физлиц, проверку контрагентов по госбазам, вывод подсистем в резервный ЦОД. _Зачем нам вы:_ Нам нужен человек, который отвечает за поставку на уровне всего кластера, а не одной команды: от квартального плана до релиза в ПРОМ. Наша работа зависит от регуляторов, ДКБ, смежных АС и инфраструктуры. Без сквозного управления сроки начинают плыть. Обязанности * планирует проекты и релизы: цели, скоуп, план-график, бюджет (ПШЕ), ресурсы; управляет изменениями скоупа * обеспечивает сквозную поставку изменений до промышленной эксплуатации: CI/CD, quality gates, релизные окна, прохождение CAB * управляет зависимостями и коммуникацией со стейкхолдерами: командами, смежными АС, заказчиком, подрядчиками; готовит отчётность руководству * ведёт реестр рисков и блокеров, эскалирует проблемы, обеспечивает стабильность после релиза совместно с сопровождением * отслеживает метрики сроков, бюджета и поставки (lead time, change failure rate, MTTR) и инициирует улучшения процесса. Требования * опыт от 3 лет в управлении ИТ-проектами или поставкой (PM, Delivery Lead, Release Manager) в распределённых командах * знание методологий (PMBOK, Agile, гибридные подходы), SDLC, CI/CD и процессов ITSM (change, incident, problem) * навыки оценки трудозатрат, бюджетирования и работы с инструментами планирования и метрик (Jira, Confluence, дашборды) * развитые навыки переговоров, фасилитации и презентации статуса топ-менеджменту * понимание микросервисной и интеграционной архитектуры; опыт в банке или с госсистемами (СМЭВ, ФНС) будет преимуществом * высшее образование _Будет преимуществом:_ * навыки работы с генеративными AI-моделями * опыт создания AI-агентов и использования их в работе. Условия * гибридный формат по адресу Кутузовский проспект 32к1 (первое время - офис) * ежегодный пересмотр зарплаты и годовая премия * расширенный ДМС и льготное страхование для семьи * уникальная система обучения Сбера для профессионального и карьерного развития * выгодная ипотека для сотрудников * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера * корпоративная пенсионная программа.

О проекте: ИТ-компания, разрабатывающая разноплановые проекты с фокусом на AI/LLM-решения, интеграции и высоконагруженные сервисы. Ищем Senior/Lead руководителя разработки, который сочетает сильную техническую экспертизу в Python и AI-стеке с навыками управления командой. Это роль для лидера, который не только проектирует архитектуру и пишет код, но и развивает команду, выстраивает процессы и способен объяснить сложные технические концепции простым языком. Задачи: — Руководство группой backend-разработки (от 3 человек). — Предварительная оценка трудозатрат, декомпозиция задач, планирование ресурсов и спринтов. — Проведение качественного Code Review. — Обеспечение оптимального взаимодействия внутри команды и со смежными подразделениями (AI/ML, Data, Product). — Проектирование технической архитектуры решений и сервисов. — Проектирование и написание кода. — Участие в разработке технической документации и формировании архитектурных стандартов. Требования: — Опыт разработки не менее 5 лет. — Опыт руководства группой разработчиков от 3 человек. — Умение разбивать большую задачу на подзадачи и распределять их. — Python 3.11+: уверенное владение ООП, современными паттернами, асинхронным программированием (asyncio), строгой типизацией (typing). — Web-разработка: FastAPI и Pydantic (v2): создание асинхронных API, валидация/сериализация данных, генерация OpenAPI-документации. — Проектирование агентных сценариев на LangGraph. — Интеграция с OpenAI-совместимыми API (OpenAI, Azure, локальные LLM через vLLM/Ollama). — Практическое применение Structured Outputs (JSON/Pydantic-схемы, function calling, tool use). — Опыт построения RAG-пайплайнов (чанкинг, эмбеддинги, reranking, гибридный поиск). — PostgreSQL: проектирование схем, оптимизация запросов, работа с индексами, использование SQLAlchemy 2.0 / Tortoise / asyncpg. — Векторные хранилища: pgvector, Qdrant, Weaviate, Chroma (выбор эмбеддингов, настройка индексов HNSW/IVFFlat, фильтрация по метаданным). — Docker и Docker Compose, понимание принципов оркестрации (Kubernetes). — Работа с асинхронными очередями: Redis, Celery, ARQ, Kafka, RabbitMQ. — Настройка пайплайнов в GitLab CI/CD, линтинг (ruff, mypy), автоматизированные тесты. — Работа с данными: обработка JSON, TOML, DAT, CSV; извлечение информации из PDF, парсинг DXF-чертежей. — Тестирование: Unit- и интеграционные тесты (pytest, pytest-asyncio), мокирование внешних AI-API. — Уверенное владение Linux (уровень выше базового, без задач DevOps). — Навык объяснять сложные технические проблемы простым и понятным языком. — Опыт публичных выступлений: конференции, митапы и другие профильные мероприятия. — Работа в гибких и гибридных методологиях (Agile/Scrum). Условия: — Удалённая работа. — Загрузка: Full-time. — Срок привлечения: 3 месяца с возможностью пролонгации. — Часовой пояс: UTC+3 (МСК). — Грейд: Senior / Lead. — Ставка: до 320 000 руб. на руки в месяц.

Location: Jeddah, Saudi Arabia; Riyadh, Saudi Arabia; Bengaluru, India; Hyderabad, India; Dubai, United Arab Emirates; Lusail, Qatar This position is responsible for designing, developing, and maintaining end-to-end business solutions across the Microsoft Power Platform, with a strong focus on Power Automate, Power Apps, Dataverse, Power BI, and Microsoft Fabric. The role leverages Copilot Studio, AI Builder, and Azure OpenAI to build intelligent automations, conversational agents, and AI-infused business applications that improve process efficiency and decision-making across the organization. Responsibilities Design, develop, and maintain solutions using Power Apps, Power Automate, Dataverse, and Power BI. Build and optimize Power Automate cloud and desktop workflows. Develop Canvas and Model-Driven Power Apps based on business requirements. Design Power BI datasets, dashboards, semantic models, DAX, and Power Query (M). Work with Microsoft Fabric, including Lakehouse, Data Warehouse, Data Factory, and OneLake. Develop AI-driven solutions using Copilot Studio, AI Builder, and Azure OpenAI. Integrate Power Platform solutions with external systems using connectors, REST APIs, custom connectors, and Azure services. Implement ALM, DevOps, governance, security, and DLP best practices. Troubleshoot, monitor, and optimize Power Platform solutions. Collaborate with business stakeholders and translate requirements into scalable technical solutions. Provide technical guidance, code reviews, and mentorship to junior developers. Prepare technical documentation and support user training and solution adoption. Requirements Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field. 5+ years of experience developing and deploying Microsoft Power Platform solutions. Strong hands-on experience with Power Apps, Power Automate, Dataverse, and Power BI. Experience developing AI-powered solutions using Copilot Studio and Microsoft AI tools. Knowledge of Microsoft Fabric and its integration with Power BI. Experience with ALM, DevOps pipelines, governance, security roles, and DLP policies. Strong analytical, troubleshooting, communication, and stakeholder management skills. Experience with Dynamics 365 is preferred. Microsoft certifications such as PL-200, PL-400, PL-600, DP-600, or relevant AI/Copilot certifications are preferred.

Задачи: — Взаимодействовать с ключевыми стратегическими клиентами JFrog, обеспечивая их успех в области DevSecOps с использованием продуктов JFrog — Сотрудничать с менеджерами по продажам для разработки стратегии работы с аккаунтами и построения долгосрочных доверительных отношений с клиентами — Обучать клиентов (инженеров и руководителей) основным возможностям платформы JFrog и ключевым преимуществам — Представлять JFrog на мероприятиях и конференциях — Тесно работать с командами продукта и инженерии для передачи обратной связи с рынка и влияния на развитие продуктов — Следить за последними тенденциями в области DevOps, DevSecOps, MLOps и IoT — Сотрудничать с командами Customer Success и Marketing для расширения вовлеченности клиентов и увеличения использования платформы — Строить отношения с ключевыми лицами, посещать клиентов и выступать в роли доверенного технического контактного лица Требования: — Опыт не менее 10 лет в предпродажах/решениях для крупных клиентов Fortune 500/100 с многомиллионными сделками — Отличные коммуникативные навыки, умение работать в команде, ориентация на удовлетворение клиента и позитивный настрой — Обширный опыт работы с клиентами в роли инженера предпродажной поддержки в сфере программной инфраструктуры — Знания и опыт работы с Docker, Kubernetes, CI, Git, Artifactory, инструментами сборки (maven, gradle, npm, docker и др.) — Умение строить конвейеры доставки ПО с использованием Docker, npm, Java, Pypi и других DevOps инструментов — Знания в области безопасности приложений (AppSec) — Практический опыт работы с Linux (обязательно) — Практический опыт работы с облачной инфраструктурой AWS, Azure, GCP (обязательно) — Опыт разработки программного обеспечения в масштабах, как локально, так и в облаке — Опыт в проектировании архитектуры ПО, разработке продуктов и IT-инфраструктуре будет плюсом — Готовность к командировкам не менее 50% по США — Стремление к обучению — Предпочтительно высшее образование в области компьютерных наук или инженерии Условия: — Возможность удаленной работы для кандидатов, находящихся вне досягаемости офисов в Сиэтле или Саннивейле — Годовой базовый оклад от $195,000 до $215,000, зависит от навыков, квалификации, опыта и местоположения — Возможность получения бонусов и комиссионных — Пакет акций (RSU) и участие в программе покупки акций для сотрудников — Комплексный социальный пакет: медицинское, стоматологическое, офтальмологическое страхование, пенсионные программы, программы оздоровления и др. — Равные возможности при трудоустройстве без дискриминации по любым признакам

Задачи: — Проектирование и развитие .NET-сервисов: бизнес-логика приложения, платежные и оркестрационные флоу. — Обеспечение надежности: идемпотентность, повторные попытки (retries), дедупликация, outbox/Saga, обработка сбоев. — Обеспечение безопасности: хранение секретов/KMS, контроль доступа, безопасная конфигурация и деплой. — Интеграция внешних API: корректная работа с заголовками/куками, форматами (multipart/x-www-form-urlencoded, JSON), соответствие спецификациям. — Проектирование БД (PostgreSQL): схемы, индексы, миграции, оптимизация запросов и блокировок. — Работа над производительностью и масштабируемостью: профилирование, снижение p95/p99, кеширование, лимитирование. — Управление командой (2-4 разработчика): распределение задач, код-ревью, менторство, онбординг новичков, помощь в разрешении блокеров. — Построение эффективного процесса разработки, внедрение стандартов кода и архитектуры, улучшение CI/CD и практик тестирования в команде. — Коммуникация со смежными командами и заинтересованными лицами: координация интеграций с продуктом, аналитикой, QA, DevOps, согласование технических решений. — Регулярный анализ проблем (инциденты, долгие релизы, спорные моменты в коде), инициация и контроль технических улучшений. Требования: — Опыт работы 5+ лет и минимум 1-2 года в роли Tech Lead / Team Lead (или явное желание и готовность взять на себя лидерские задачи при сильном техническом бэкграунде). — Опыт код-ревью и менторства: умение давать конструктивную обративную связь. — Глубокое знание сетевых протоколов и веб-интеграций: HTTP/2, CORS, cookies, multipart/x-www-form-urlencoded. — Криптография и форматы: Ed25519, SHA-256, работа с бинарными протоколами и байтовыми префиксами. — Базы данных: PostgreSQL, проектирование схем, индексы, транзакции, миграции (EF Core). — Микросервисы и интеграции: gRPC/Protobuf, очереди/брокеры (RabbitMQ/Kafka), паттерны Outbox и идемпотентности. — Надежность под нагрузкой: повторные попытки, таймауты, поллинг, лимитеры, circuit breaker. — Наблюдаемость: Prometheus/Grafana, структурированное логирование, трассировка (OpenTelemetry). — Контейнеризация и CI/CD: Docker, базовые практики деплоя и конфигурации. — Чистый код и архитектура: SOLID, модульные и интеграционные тесты, код-ревью, проектирование API. Будет плюсом: — Опыт работы с антибот-механизмами (например, Cloudflare: заголовки, сессии). — Знание DDD и event-driven подходов, Saga/оркестраторы, управление транзакционными границами в распределённых системах. — Опыт в области безопасности платежей и антифрода, KMS/Secret-management. — Опыт проведения property-based тестирования, нагрузочных и performance-тестов, бенчмарков.