Вакансии

Location: London Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for Forward Deployed ML Engineers who want to work at the intersection of deep technical work and direct customer impact. As an ML FDE, you’ll partner with leading AI companies and foundation model labs to help them achieve state-of-the-art performance on their most demanding workloads: LLM serving, model training (SFT, RLHF), audio pipelines, scientific computing, and more. You’ll help teams reach outcomes most engineers can’t on their own. The FDE team today includes world-class software engineers, computational scientists, ML engineers, and former founders. We’re looking for people with strong engineering fundamentals, deep curiosity across the AI stack, and energy for working directly with customers on hard problems. WHAT YOU’LL WORK ON: - Work hands-on with companies like Suno, Cognition, and Meta to architect and optimize production AI workloads on Modal - Contribute to open-source projects (members of the team are active contributors to SGLang) and publish technical content that demonstrates Modal’s capabilities across the AI stack - Collaborate with Modal’s product and sales teams, contributing to the platform as both an engineer and a product stakeholder - Build trusted relationships with technical leaders (CTOs, VPs of Engineering, ML leads) at companies doing frontier AI work - Conduct technical demos, experiments, and proofs of concept that make Modal’s performance advantages tangible YOU MAY BE A FIT IF: - You have 2+ years of professional ML engineering experience, ideally with hands-on work in inference optimization, model training, GPU programming, or ML infrastructure - You’re familiar with the serving (e.g., vLLM, SGLang) and training (e.g., slime, verl, TRL) toolchains and can go deep on at least one (you don’t need all of them) - You’re a strong communicator who can go deep on technical architecture with an engineering team and clearly articulate tradeoffs to technical leadership - You have a genuine interest in working directly with customers: you find it energizing to understand someone else’s problem and help them solve it - You’re willing to work in person in London NICE-TO-HAVE: - Side projects, open-source contributions, or published work you’re proud of in ML or systems performance

Задачи: — Администрирование серверов Windows Server и Linux. — Разворачивание, сопровождение и восстановление баз данных Oracle 11g/19c, PostgreSQL, MySQL, MongoDB и MSSQL. — Оптимизация баз данных. — Настройка резервного копирования. — Установка обновлений и устранение уязвимостей на уровне баз данных. — Обеспечение надёжности и доступности сервисов. Требования: — Высшее техническое образование. — Опыт работы в IT не менее 3 лет. — Знание операционных систем Unix / Linux и Windows. — Опыт работы с Oracle 11g/19c, PostgreSQL, MySQL, MongoDB, MSSQL. — Базовое понимание сетей и маршрутизации. — Понимание принципов высокой доступности и надёжности сервисов. Условия: — Полная занятость. — Официальное оформление по трудовому договору. — Рабочий график 5/2 с 09:00 до 18:00. — Система премирования. — ДМС и страхование жизни после испытательного срока. — Обучение за счёт компании. — Отпуск 26 календарных дней. — Возможности профессионального и карьерного роста.

Location: London ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re hiring an Account Executive to win and grow Modal’s relationships with AI-native companies: the startups and scale-ups building their products on models from day one. These teams move fast, so our sales cycle does too. Deals often move forward from the very first call, and you’ll usually be talking directly with the founder or technical leader who owns the budget. You’ll own the full cycle, from sourcing to close to expansion, and you’ll partner closely with our founders, engineering, and product teams. You’ll also help build Modal’s presence in the developer community, because in this market, the best pipeline comes from engineers who already love the product. The ideal candidate has an engineering background, has worked as a solutions architect or in a similar technical role, and has since moved into selling. You’re as comfortable debugging a cold-start issue with an ML engineer as you are negotiating terms with a CEO. WHAT YOU’LL DO: - Own a book of AI-native accounts and close new business quickly, often moving from first call to signed deal in weeks rather than quarters. - Sell directly to founders, CTOs, and heads of ML who define the ideal customer and hold the budget from day one. - Get hands-on in technical conversations: scope workloads, set up quick proofs of concept, and show customers how Modal fits into their stack. - Spot expansion early and help fast-growing customers scale their inference, training, and sandbox workloads as their usage takes off. - Help build and engage Modal’s developer community through events, meetups, open-source channels, and word of mouth. - Bring sharp, structured customer feedback to our product and engineering teams to shape the roadmap. - Help define how Modal sells to AI-native companies, including the playbooks, pricing motions, and processes we’ll scale as the team grows. REQUIREMENTS: - An engineering background, followed by time as a solutions architect, sales engineer, or similar customer-facing technical role, and now experience as a closing seller. - Current or recent experience at an AI-native company, ideally selling infrastructure, ML/AI, or developer tools. - A track record of selling directly to founders and technical leaders and closing deals quickly in a high-velocity sales cycle. - Experience building or engaging a developer community, or a clear point of view on how community drives pipeline. - Enough technical depth to go deep on GPUs, inference, containers, and model training with engineers, without needing a sales engineer in the room. - Excellent communication, negotiation, and relationship-building skills. - Comfort in a fast-moving, early-stage environment and excitement about building processes from the ground up. - Ability to work in person from our office 5 days a week.

Location: Remote, California, 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 looking for a talented Senior Sales Engineer to join our Enterprise, Existing Business sales team. As an Enterprise Sales Engineer, you will work closely with our sales team to understand our Enterprise customers’ complex business needs and showcase how Fivetran’s data replication solutions can help them achieve their desired business outcomes. You will be responsible for providing technical expertise, identifying technical requirements, and supporting a regimented proof-of-value process throughout the sales cycle. This is a full-time, remote position based in US. Technologies You’ll Use AWS, GCP, Azure, Snowflake, BigQuery, Databricks, Kafka, Grafana Linux, Windows, Python What You’ll Do Work with Enterprise customers to understand their business, their use cases, and their data replication and data transformation requirements Work cross functionally with your internal counterparts (AEs, Professional Services, BDRs, marketing, and support) to build and maintain a holistic account ownership plan Develop and deliver technical presentations to Enterprise audiences Ensure the technical win by running a tight proof-of-value process Work closely with Fivetran+dbt’s Product and Engineering teams to ensure alignment of our solutions to Enterprise customer needs Develop and maintain relationships with key Enterprise customers and partners Stay up-to-date on the latest technologies and trends in our industry Skills We’re Looking For 5+ years in one of the following areas: data replication, data practitioner, data operations, analytics, sales engineering, or related technical field Proven ability to work cross-functionally to support large enterprise customers Strong technical background covering data replication, cloud infrastructure, data replication technologies, and/or database administration Experience with modern data analytics technologies, including cloud data warehouses, transformation tooling, data catalogs, and BI tools Excellent communication and presentation skills with a keen ability to explain complex technical concepts to both technical and non-technical stakeholders Strong problem-solving and analytical skills Bonus Skills Experience with Oracle, SQL Server & SAP databases Basic python competency and advanced SQL knowledge Hands on experience with other data replication or ETL tools Experience with self-hosted software applications and supporting infrastructure Hands on networking experience both in the cloud and on-premise Compensation & Benefits 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. For this role, on-target earnings (OTE) are split 70% base salary and 30% variable compensation. 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. OTE (On Target Earning) $218,491.87 — $303,462.32 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.

We are looking for a Senior IT Security Engineer (based in #Cyprus, #Serbia, or #Remote) to establish and lead our day-to-day security function. This is a hands-on, senior-level role focusing on infrastructure, cloud security, access controls, and endpoint defense.

Задачи: — Развертывание, настройка и поддержка инфраструктуры — Настройка и работа с виртуализацией — Взаимодействие с командой разработки по ключевым вопросам Требования: — Опыт работы от 3-х лет в должности системного администратора в крупных компаниях с территориально-распределенной структурой — Высокий уровень системного администрирования и траблшутинга серверных операционных систем Linux (Ubuntu, Centos) — Виртуализация VMWare, Proxmox, KVM — Знания и практический опыт в области развертывания и обслуживания СУБД (PostgreSQL, MySQL) — Опыт проектирования и развертывания Active Directory, понимание архитектуры и схемы — Опыт проектирования и развертывания кластерных сетевых служб DNS, DHCP, как Windows, так и Linux — Знания технологий RAID — Опыт работы с сетевым оборудованием: DELL, MikroTik, Mellanox, HP — Знание и понимание принципов работы сетей TCP/IP, маршрутизации, VLAN — Опыт работы с серверными платформами: Dell, Supermicro, IBM — Опыт внедрения и администрирования терминальных ферм, знание правил и принципов — Умение создавать клиентские и инфраструктурные сервисы с нуля — Знание основных протоколов передачи данных — Практические навыки написания скриптов (Bash, Python) — Практический опыт работы с Zabbix, написания триггеров — Законченное высшее образование — Гражданство РФ — Знание английского языка на уровне, достаточном для чтения профессиональной литературы — Умение самостоятельно осваивать различные технические концепции — Будет плюсом умение разворачивать Ceph (крупные инсталляции), настройка производительности, опыт эксплуатации и обновления Условия: — Оформление по ТК РФ — Работа в команде профессионалов на стыке передовых ИТ и науки — Возможность профессионального роста, обучение — График работы 5/2, гибрид, плавающее начало рабочего дня

Развертывание, конфигурирование и эксплуатация средств защиты информации, интеграция СЗИ с объектами инфраструктуры; Управление инцидентами информационной безопасности, включая идентификацию, локализацию, устранение, пост-инцидентный анализ;

Функционал инженера: Диагностика, обслуживание и ремонт орг.

Location: Bangalore Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? ABOUT THE ROLE Join the Vertical Solutions team and build UiPath's most ambitious product - an AI agentic orchestration platform that's been recognized as our Invention of the Year for two consecutive years. As a Senior Software Engineer, you'll be at the forefront of our Act 2 strategy, building the infrastructure that allows enterprises to seamlessly orchestrate AI agents, robots, and human-in-the-loop workflows to achieve critical business outcomes. You'll be working with Lax and the Maestro backend team to build the core orchestration engine that powers enterprise AI automation. This is a high-visibility, high-impact role on UiPath's biggest strategic bet. What You'll Do - Build and Scale: Design, develop, and maintain full stack for Vertical Solutions products leveraging AI Coding Assistants. - Hands-On Development: Write production-quality code daily, leveraging AI tools (Claude, GitHub Copilot, etc.) to enhance your development workflow - Prototype and Ship: Take ideas from Prototype to validate with real customers and turn the ones that prove value into production systems. - Measure what matters: Design evaluations, measure quality against real customer data, and understand when metrics mislead. Our systems are often non-deterministic. Responsible shipping means measuring honestly, not chasing vanity numbers. - Customer-Centric Engineering: Deeply understand who will use the features you build and why they need them, translating customer needs into elegant technical solutions - Ensure Reliability: Contribute to building highly scalable, reliable distributed systems that enterprises depend on. What We're Looking For: - Builder mindset — you enjoy turning ideas into working systems and taking ownership from Concept through, Customer impact and Production - Strong full stack knowledge including frontend systems like React and backend systems -Python and/or C# — most Vertical Solutions product development is Python (agents, APIs, ETL), while core platform work includes C#, frontend in React. Willingness to work across both is important. - Experience building production AI systems — LLMs, tool-calling, multi-agent architectures, orchestration frameworks (LangGraph, LangChain, or equivalent), structured outputs, orchestration, and evaluation of model behavior in real-world workflows - Distributed systems experience — designing resilient systems with idempotency, replay ability, state management, and long-running jobs - Strong analytical thinking — able to reason quantitatively about system quality and make sound decisions using imperfect signals - Comfortable with ambiguity and rapid prototyping — able to move from idea to proof-of-concept quickly and iterate based on customer feedback. - Experience with healthcare Tech/ Finance Tech/ Procurement Tech systems experience will be a big plus. What You'll Bring to the Team - Bachelor's/Master's degree in Engineering, Computer Science or equivalent experience. - 7+ years of software engineering experience, with 4+ years focused on distributed systems and backend architecture. - Strong proficiency in one or more system-level languages – Javascript / C# / Java etc - Full-stack experience: ability to work across backend services and frontend layers (REST/GraphQL APIs, basic UI integration, component contracts). - Deep understanding of object-oriented programming, architectural design patterns, system design, and data structures & algorithms. - Experience with React, TypeScript, or other modern frontend frameworks for deeper full-stack contribution. - Strong grasp of multithreading, asynchronous programming, synchronization, and cloud-native programming models. - Hands-on experience with cloud ecosystems: Azure, AWS, or GCP. - Proficiency with containerization and orchestration: Docker, Kubernetes, or equivalent. - Hands-on experience with AI coding tools and coding agents (e.g., GitHub Copilot, Cursor, Claude Code, or similar) and a demonstrated ability to integrate these into daily engineering workflows. - Experience driving team adoption of AI-powered productivity tools – setting norms, measuring impact, and iterating on usage patterns. - Familiarity with modern engineering practices: agile development, CI/CD, DevOps, and infrastructure as code. - Excellent verbal and written communication skills; proven success collaborating with globally distributed teams and managing complex, time-bound deliverables. - Ability to understand, communicate, and drive complex technical decisions with stakeholders at all levels. Nice to Have - Experience with healthcare Tech/ Finance Tech/ Procurement Tech systems experience will be a big plus. - Data science and evaluation - Experience with applied ML techniques such as classification, anomaly detection, ranking, or predictive modeling - Experience evaluating AI systems using experimentation, metrics, and empirical analysis to improve quality and reliability - Data and retrieval systems - Experience with large-scale data platforms (Snowflake, columnar warehouses, denormalized data models) - Familiarity with retrieval-heavy architectures, RAG systems, or citation-grounded AI workflows - Engineering for trustworthy AI - Experience blending deterministic and probabilistic systems (rules engines + AI) - Experience designing eval-driven systems, regression testing for LLM outputs, or human-in-the-loop review workflows - Platform and product development · Frontend familiarity (React, TypeScript) · Workflow orchestration platforms (Temporal, Airflow, Maestro, BPMN, Step Functions) · Kubernetes and distributed infrastructure · Experience in startups, applied research, or 0→1 product environments · Open-source contributions How We Work Vertical Solutions operates like an internal startup inside UiPath: small teams, fast iteration, and real customers in the loop. We build quickly, test ideas with users, and turn the best ones into products. Some ideas won’t make it — that’s expected. You’ll work in short cycles, demo frequently, and adapt as we learn. We care more about solving the right problem than protecting a plan that no longer fits. If you enjoy ambiguity, rapid feedback, and building where product boundaries move fast, you’ll likely thrive here. Why Join Us - Work on cutting-edge AI technology that's shaping the future of enterprise automation - Be part of a team building Times top 100 Invention of the Year (2 years running) - Collaborate with talented engineers who value rapid iteration and customer impact - Contribute to UiPath's Act 2 strategy - our most important product initiative. Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Задачи: — установка, настройка и администрирование программного обеспечения PostgreSQL и MS SQL — настройка и контроль резервного копирования баз данных — оптимизация производительности баз данных — настройка веб и http-сервисов Требования: — высшее образование (программист, администратор баз данных) — опыт работы от 3-х лет — углубленные знания ПО PostgreSQL и MS SQL — уверенное владение операционными системами Windows и Linux Astra, Redos на административном уровне — опыт работы с прикладными программами Nginx, Apache, IIS — опыт разработки и настройки скриптов Условия: — заработная плата по результатам собеседования — график работы 5/2 — место работы в Москве, рядом с метро Проспект Мира и Кунцевская — оформление по ТК РФ — компенсация проезда в пригородных электропоездах — бесплатные обеды — надбавка за стаж и ежегодная индексация — увеличенный отпуск — льготы на отдых и оздоровление для сотрудника и его родственников — корпоративная жизнь и спорт — и многое другое

Location: London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s collaborative mindset, enabling us to solve complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. Join our London office as an Audio Visual (AV) Engineer, ensuring reliable AV systems, delivering hands-on technical support, and supporting AV projects across our offices. Your future role at QRT: Act as the primary escalation point for AV-related issues from frontline support teams. Install and integrate Cisco Systems with Microsoft Teams Rooms (MTR) and Microsoft 365 environments. Integrate third-party AV hardware solutions (e.g., Shure, Crestron, Logitech, Poly, Yealink, Taurus). Support and optimise Surface Hub and Windows-based MTR systems, including remediation of Microsoft Teams and Windows-related issues. Provide engineering oversight for digital signage and interactive kiosk solutions. Support signage platforms such as NowSignage and manage display technologies from vendors including Samsung and LG. Configure, support and troubleshoot professional audio systems, including wireless microphones and streaming technologies such as Sonos. Provide technical support for key meetings, town halls and hybrid events. Maintain equipment records, technical documentation and user guidance. Your present skillset: 3+ years’ relevant AV experience, including hands-on support of Microsoft Teams Rooms and Cisco systems. Experience configuring, integrating and troubleshooting third-party AV hardware. Experience supporting Windows-based meeting room systems and Microsoft 365 environments. Good understanding of professional audio systems, wireless microphones and AV networking fundamentals. Experience supporting corporate meetings, hybrid events and senior stakeholders. Strong troubleshooting skills, with the ability to resolve faults independently and coordinate specialist support when required. Strong organisational and communication skills, with confidence prioritising in a fast-paced environment. Experience with Surface Hub, digital signage and interactive displays would be advantageous. Willingness to support occasional out-of-hours meetings and events. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

ЧТО МЫ ПРЕДЛАГАЕМ: заработную плату по результатам собеседования график работы 5/2, с 08:00 до 17:00, пятница до 15:30 место работы м.

установкой, настройкой, обновлением и поддержанием работоспособности системы DLP. разработкой, тонкой настройкой и актуализацией политик контроля для предотвращения утечек данных под конкретные бизнес-процессы компании.

Задачи: — ввод в эксплуатацию, сопровождение и вывод из эксплуатации средств криптографической защиты информации (СКЗИ), преимущественно линейки КриптоПро; — выполнение требований регулятора и правил пользования к СКЗИ; — обучение пользователей и контроль исполнения требований правил пользования; — актирование, установка, модификация и удаление СКЗИ. Требования: — высшее образование в области информационной безопасности или профессиональная переподготовка (не менее 512 часов); — опыт работы не менее 3 лет; — опыт внедрения и эксплуатации КриптоПро HSM, УЦ, NGate, CSP и JSP, ИнфоТеКС Coordinator HW, VA, Код Безопасности Континент, Соболь; — опыт эксплуатации защищенных каналов связи TLS, ГОСТ-шифрование; — понимание модели OSI, чтение и составление сетевых схем L2/L3, знание сетевых протоколов и принципов информационной безопасности; — опыт администрирования АПКШ, КриптоПро УЦ, КриптоПро HSM; — опыт установки, монтажа, наладки и технического обслуживания СКЗИ; — знание действующего законодательства в области информационной безопасности; — навыки самостоятельной разработки нормативных документов по информационной безопасности; — уверенное владение ОС Windows и Linux; — навыки ведения деловой переписки. Условия: — заработная плата по результатам собеседования; — график работы 5/2 с 08:00 до 17:00, пятница до 15:30; — место работы у станции метро Нижегородская; — оформление по ТК РФ; — компенсация проезда в пригородных электропоездах; — бесплатные обеды; — надбавка за стаж и ежегодная индексация; — увеличенный отпуск; — льготы на отдых и оздоровление для сотрудника и его родных; — корпоративная жизнь и спорт; — и многое другое.

Задачи: — Проводить security review AI/LLM-решений: LLM-приложений, AI-агентов, RAG, векторных БД, интеграций с внешними API и облачными LLM; — Участвовать в threat modeling AI-решений: prompt injection, jailbreak, утечки данных, небезопасные tool calls, избыточные привилегии AI-агента, RAG/data poisoning; — Проверять наличие и корректность защитных механизмов: guardrails, фильтры персональных данных, ограничения длины prompt/response, rate limiting, валидация ответов, контроль вызовов tools; — Оценивать безопасность работы с данными: персональные данные, конфиденциальная информация, источники данных для RAG, embeddings, индексы векторных БД; — Проверять, что AI-агенты работают по принципу минимально необходимых привилегий и не выполняют чувствительные операции без ручного подтверждения; — Проверять изоляцию пользовательских сессий, контекстов и памяти AI-решений; — Участвовать в проверке безопасности локального запуска LLM в Kubernetes: контейнеры, RBAC, secrets, network policies, ingress, resource limits; — Формировать требования к логированию, аудиту и трассировке AI-решений: trace ID, логи prompt/response, вызовы модели, вызовы tools, действия AI-агента; — Разрабатывать тестовые сценарии для проверки AI-решений на prompt injection, утечки данных, обход ограничений и небезопасное поведение агента; — Помогать командам разработки и эксплуатации безопасно использовать локальные и облачные LLM. Требования: — Опыт в кибербезопасности от 2–3 лет в одной или нескольких областях: Application Security, DevSecOps, Cloud Security, Kubernetes Security, API Security, Product Security; — Понимание принципов security review, threat modeling и безопасной разработки; — Понимание web/API-безопасности: аутентификация, авторизация, OAuth2/OIDC, SAML, JWT, RBAC, service-to-service-взаимодействие; — Базовое понимание AI/LLM-стека: LLM, prompt, system prompt, context window, embeddings, RAG, vector database, AI-agent, agent memory, tools/function calling; — Понимание основных рисков LLM-приложений: prompt injection, indirect prompt injection, jailbreak, утечка чувствительных данных, раскрытие system prompt, небезопасная обработка ответа модели, excessive agency; — Понимание особенностей безопасности RAG и векторных БД: например, Milvus, Qdrant, Weaviate, pgvector, Chroma, Elasticsearch/OpenSearch vector search; — Понимание рисков работы с персональными и конфиденциальными данными при использовании локальных и облачных LLM; — Базовое понимание Kubernetes и контейнерной безопасности: secrets, service account, RBAC, network policy, resource limits; — Умение формулировать понятные и проверяемые требования безопасности для продуктовых команд. Что мы ищем в кандидатах: — Опыт security review AI/LLM, RAG, чат-ботов, AI-ассистентов или агентских решений; — Знакомство с OWASP Top 10 for LLM Applications, OWASP Agentic AI Threats, MITRE ATLAS, NIST AI RMF; — Понимание безопасности agent tools/function calling: allowlist tools, схемы входных параметров, контроль прав, human-in-the-loop; — Опыт работы с SIEM/security logging: проектирование событий безопасности, аудит действий, расследование инцидентов; — Понимание подходов к безопасному исполнению кода, сгенерированного моделью: sandbox, изоляция контейнеров, запрет доступа к secrets, ограничения сети и ресурсов; — Базовые навыки Python, работы с JSON/YAML, API-тестирования или автоматизации security checks. Будет плюсом: — Опыт с OpenAI/Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic или другими LLM-провайдерами; — Опыт с локальными open-source LLM и inference-сервисами; — Опыт настройки или проверки guardrails, фильтров персональных данных, DLP-подходов, content moderation; — Опыт участия в AI red teaming или разработке тестов на prompt injection и data leakage. Условия: — Формат: Гибридный (от 2-х дней в неделю, м. Технопарк); — Бесплатный доступ к телемедицине и очным приемам в частных клиниках (включая стоматологию и сессии с психологами); — Условия ипотечного кредитования от Сбербанка; — Индивидуальный план развития; — Английский язык с корпоративным преподавателем и скидки на курсы в Skyeng, компенсация обучения от ведущих платформ; — Официальное оформление, стабильные выплаты, оплата больничного и отпуска, современная техника; — Частичная компенсация спортивного абонемента, бесплатные занятия сквошем и футболом.

Python, PyTest, разработка автотестов и тестовых фреймворков, Linux (на уровне системного администратора), теория тестирования и техники тест-дизайна, разработка тест-планов и тестовых сценариев, оптимизация регрессионного тестирования, сетевые технологии, скриптовые языки программирования, Docker, Jenkins, Code Review, опыт менторинга.

Осуществлять операционную поддержку проектов, формировать необходимую проектную документацию, информировать исполнителей о поступлении новых задач, контролировать статус по задачам, отслеживать соблюдение SLA;

Обязанности: Мониторинг работоспособности систем информационной безопасности; Обработка типовых запросов на проведение регламентных работ по эксплуатации перечисленных систем информационной безопасности (обновление, плановые работы, тестирование);