Вакансии

— администрировать и развивать Windows/Linux-инфраструктуру; — поддерживать Multi-domain Active Directory, GPO, DNS и DHCP;

Location: Romania Job Overview We are seeking a highly experienced Senior Linux Infrastructure Engineer with deep expertise in Linux administration, bare metal infrastructure, enterprise storage, and next-generation AI Factory / GPU infrastructure platforms . This role is focused on designing, deploying, operating, and troubleshooting large-scale Linux-based infrastructure that powers both traditional enterprise workloads and modern AI/ML environments. This is not a DevOps-focused role . We already have a dedicated DevOps team and are looking for an engineer with extensive hands-on experience in Bare Metal as a Service (BMaaS), GPU infrastructure, high-performance storage, data center operations, and enterprise Linux platforms . The ideal candidate will have experience building and managing infrastructure from the hardware layer up, including servers, networking, storage, GPU clusters, and AI-ready platforms. They should be comfortable working with high-performance computing (HPC), AI Factory environments, and large-scale Linux deployments where performance, reliability, and operational excellence are critical. Key Responsibilities & Required Skills Linux & Bare Metal Infrastructure Expert-level Linux administration (Ubuntu required; Red Hat and SUSE preferred) Deep expertise in bare metal server deployment, architecture, provisioning, and lifecycle management Experience operating Bare Metal as a Service (BMaaS) platforms and large-scale infrastructure environments Strong understanding of server hardware, including: BIOS/UEFI RAID controllers Firmware management iLO/iDRAC/IPMI NICs and SmartNICs HBA cards Hardware diagnostics and troubleshooting Experience designing, implementing, and supporting enterprise Linux infrastructure at scale AI Factory & GPU Infrastructure Experience deploying and managing GPU-accelerated infrastructure for AI/ML workloads Understanding of NVIDIA GPU technologies including: A100, H100, H200, B200, or equivalent GPU platforms NVIDIA DGX and OEM GPU servers GPU provisioning and lifecycle management GPU monitoring and performance optimization Knowledge of AI Factory architecture and infrastructure requirements Experience supporting GPU clusters, AI training environments, and high-performance computing (HPC) workloads Understanding of: GPU resource allocation and scheduling Multi-GPU systems GPU networking requirements High-bandwidth, low-latency infrastructure design Familiarity with NVIDIA ecosystem technologies such as: CUDA NCCL GPUDirect Storage NVIDIA Fabric Manager NVIDIA Base Command (preferred) Enterprise Storage & Data Platforms Advanced Linux storage administration: LVM XFS, EXT4 NFS iSCSI Fibre Channel SAN Multipath I/O Strong hands-on experience with Ceph , including: Cluster architecture MON, OSD, MDS RBD, CephFS, RGW Capacity planning Performance tuning Failure recovery Experience with high-performance AI storage platforms such as: WEKA VAST Data Dell PowerScale Pure Storage FlashBlade NetApp Understanding of: NVMe-over-Fabrics (NVMe-oF) RDMA GPUDirect Storage Parallel file systems AI data pipelines Networking & Infrastructure Strong networking knowledge: Bonding VLANs Routing MTU optimization DNS DHCP Experience with high-performance data center networking: 100G/200G/400G Ethernet RoCE RDMA Spine-Leaf architectures Familiarity with NVIDIA Spectrum-X, Mellanox/NVIDIA ConnectX adapters, or equivalent technologies Strong understanding of Layer 2 and Layer 3 infrastructure design and troubleshooting Operations & Reliability Experience with high availability, clustering, and disaster recovery Strong troubleshooting skills across: Linux operating systems Hardware platforms GPU infrastructure Networking Enterprise storage Experience supporting mission-critical production environments Bash and Python scripting for automation and operational efficiency Experience creating operational documentation, runbooks, and infrastructure standards Understanding of AI infrastructure design and reference architectures AI cloud integration for workloads SOP and runbook development and maintenance Incident, problem, and capacity management Business continuity and disaster recovery planning for AI workloads Proactive risk identification and mitigation to avoid business impact Nice to Have Kubernetes infrastructure (especially AI/ML and GPU integration) KVM, VMware, OpenShift Virtualization, or similar virtualization platforms Ansible automation NVIDIA Base Command Manager Slurm or HPC workload schedulers Observability and monitoring platforms (Prometheus, Grafana, OpenTelemetry) Data Center Infrastructure Management (DCIM) tools IPAM solutions AWS, Azure, or hybrid cloud exposure We Are Not Looking For Candidates whose experience is primarily CI/CD pipeline engineering Engineers focused mainly on Terraform, GitOps, or application delivery pipelines Cloud-only administrators with limited bare metal, storage, or hardware experience Professionals whose primary expertise is software development rather than infrastructure engineering Ideal Candidate Someone who has spent years designing, building, and operating enterprise Linux environments, large-scale bare metal infrastructure, storage platforms, and modern AI Factory environments. The ideal candidate understands how to deploy and manage GPU-enabled infrastructure, BMaaS platforms, enterprise storage, and high-performance networking while solving complex operating system, hardware, storage, and AI infrastructure challenges. DevOps experience is a plus, but deep Linux, infrastructure, storage, BMaaS, and AI Factory expertise is the primary requirement.

Location: India Job Overview We are seeking a highly experienced Senior Linux Infrastructure Engineer with deep expertise in Linux administration, bare metal infrastructure, enterprise storage, and next-generation AI Factory / GPU infrastructure platforms . This role is focused on designing, deploying, operating, and troubleshooting large-scale Linux-based infrastructure that powers both traditional enterprise workloads and modern AI/ML environments. This is not a DevOps-focused role . We already have a dedicated DevOps team and are looking for an engineer with extensive hands-on experience in Bare Metal as a Service (BMaaS), GPU infrastructure, high-performance storage, data center operations, and enterprise Linux platforms . The ideal candidate will have experience building and managing infrastructure from the hardware layer up, including servers, networking, storage, GPU clusters, and AI-ready platforms. They should be comfortable working with high-performance computing (HPC), AI Factory environments, and large-scale Linux deployments where performance, reliability, and operational excellence are critical. Key Responsibilities & Required Skills Linux & Bare Metal Infrastructure Expert-level Linux administration (Ubuntu required; Red Hat and SUSE preferred) Deep expertise in bare metal server deployment, architecture, provisioning, and lifecycle management Experience operating Bare Metal as a Service (BMaaS) platforms and large-scale infrastructure environments Strong understanding of server hardware, including: BIOS/UEFI RAID controllers Firmware management iLO/iDRAC/IPMI NICs and SmartNICs HBA cards Hardware diagnostics and troubleshooting Experience designing, implementing, and supporting enterprise Linux infrastructure at scale AI Factory & GPU Infrastructure Experience deploying and managing GPU-accelerated infrastructure for AI/ML workloads Understanding of NVIDIA GPU technologies including: A100, H100, H200, B200, or equivalent GPU platforms NVIDIA DGX and OEM GPU servers GPU provisioning and lifecycle management GPU monitoring and performance optimization Knowledge of AI Factory architecture and infrastructure requirements Experience supporting GPU clusters, AI training environments, and high-performance computing (HPC) workloads Understanding of: GPU resource allocation and scheduling Multi-GPU systems GPU networking requirements High-bandwidth, low-latency infrastructure design Familiarity with NVIDIA ecosystem technologies such as: CUDA NCCL GPUDirect Storage NVIDIA Fabric Manager NVIDIA Base Command (preferred) Enterprise Storage & Data Platforms Advanced Linux storage administration: LVM XFS, EXT4 NFS iSCSI Fibre Channel SAN Multipath I/O Strong hands-on experience with Ceph , including: Cluster architecture MON, OSD, MDS RBD, CephFS, RGW Capacity planning Performance tuning Failure recovery Experience with high-performance AI storage platforms such as: WEKA VAST Data Dell PowerScale Pure Storage FlashBlade NetApp Understanding of: NVMe-over-Fabrics (NVMe-oF) RDMA GPUDirect Storage Parallel file systems AI data pipelines Networking & Infrastructure Strong networking knowledge: Bonding VLANs Routing MTU optimization DNS DHCP Experience with high-performance data center networking: 100G/200G/400G Ethernet RoCE RDMA Spine-Leaf architectures Familiarity with NVIDIA Spectrum-X, Mellanox/NVIDIA ConnectX adapters, or equivalent technologies Strong understanding of Layer 2 and Layer 3 infrastructure design and troubleshooting Operations & Reliability Experience with high availability, clustering, and disaster recovery Strong troubleshooting skills across: Linux operating systems Hardware platforms GPU infrastructure Networking Enterprise storage Experience supporting mission-critical production environments Bash and Python scripting for automation and operational efficiency Experience creating operational documentation, runbooks, and infrastructure standards Understanding of AI infrastructure design and reference architectures AI cloud integration for workloads SOP and runbook development and maintenance Incident, problem, and capacity management Business continuity and disaster recovery planning for AI workloads Proactive risk identification and mitigation to avoid business impact Nice to Have Kubernetes infrastructure (especially AI/ML and GPU integration) KVM, VMware, OpenShift Virtualization, or similar virtualization platforms Ansible automation NVIDIA Base Command Manager Slurm or HPC workload schedulers Observability and monitoring platforms (Prometheus, Grafana, OpenTelemetry) Data Center Infrastructure Management (DCIM) tools IPAM solutions AWS, Azure, or hybrid cloud exposure We Are Not Looking For Candidates whose experience is primarily CI/CD pipeline engineering Engineers focused mainly on Terraform, GitOps, or application delivery pipelines Cloud-only administrators with limited bare metal, storage, or hardware experience Professionals whose primary expertise is software development rather than infrastructure engineering Ideal Candidate Someone who has spent years designing, building, and operating enterprise Linux environments, large-scale bare metal infrastructure, storage platforms, and modern AI Factory environments. The ideal candidate understands how to deploy and manage GPU-enabled infrastructure, BMaaS platforms, enterprise storage, and high-performance networking while solving complex operating system, hardware, storage, and AI infrastructure challenges. DevOps experience is a plus, but deep Linux, infrastructure, storage, BMaaS, and AI Factory expertise is the primary requirement.

Ищем человека, который возьмёт на себя ответственность за весь ИТ-контур компании (в компании около 100 сотрудников): серверы, техподдержку, кибербезопасность, СКУД и документооборот, также при необходимости сам зайдет на сервер и разберется с инцидентом. • Управлять командой: 1–2 сисадмина и админ CRM.

Location: Australia Reporting to the Global Talent Applications Support Manager, the Global SAP SuccessFactors Support Analyst will serve as the primary L2 and L3 support contact for SuccessFactors operations across Australia, Singapore and New Zealand. The role will manage incidents, service requests and change requests in line with Dentons service level targets and quality standards, provide controlled functional and technical administration, and ensure issues are resolved at the appropriate support level or escalated effectively. The successful candidate may also need to provide backup support for other Global Team members supporting Canada, Europe and UKIME regions when required and will work closely with local Talent teams, the Global Operations Team, the AMS and Project Implementation Partner Teams. Responsibilities Implementing Incident Management processes on an IT Service Management System to meet the ongoing needs of the business Triage tickets based on their subject matter and complexity, and when required escalate to AMS Team Provide primary operational support for Australia, Singapore and New Zealand and backup support for Canada, Europe and UKIME during planned or unplanned Team absences Manage Role-Based Permissions framework for assigned regions, ensuring that changes are appropriately assessed, tested and implemented without creating data privacy, information security or unintended access issues for other regions Perform SuccessFactors configuration updates, including business rules, approval workflows, Alerts, picklists, data models, Business Configuration, creation or maintenance of Metadata Framework (MDF) objects etc. Monitor and act on findings from the SAP SuccessFactors Check Tool, coordinating remediation and validation where required Manage and maintain Performance & Goals and Recruiting templates, including controlled updates, testing , deployment and Launch. Work with local Talent teams, Global Operations Team, AMS and Project Implementation Partners to clarify requirements, coordinate delivery, test solutions and resolve incidents or defects Run regular reports for regions, in agreed formats / data sets Measure and monitor service level targets and follow up with ticket owners before breaches occur Monitor System Implementation partner portal to ensure that linked tickets are maintained / updated regularly Help to maintain user FAQs, 'How To' guides and other support documentation on MS Teams Requirements Technical Skills Strong SAP SuccessFactors experience, combining functional knowledge with hands-on technical and configuration skills Employee Central, including Core HR and Time, and Recruiting experience are essential Experience with Onboarding 2.0, Learning, Performance & Goals and Compensation is desirable Experience with SAP Business AI capabilities, including Joule, is preferred Knowledge of Talent Intelligence Hub and skills-based talent processes is preferred Proficiency in SAP SuccessFactors Story Reports, including report design, data validation and stakeholder-ready outputs, is preferred Experience providing high-quality application support and customer service in an IT and HR technology environment Advanced Microsoft Excel skills, including pivot tables, data analysis and charts Behavioral Skills Demonstrated ability to troubleshoot Problem-solving mindset Excellent written and verbal communication skills, with the ability to explain technical matters clearly to both technical and non-technical stakeholders Excellent client service and stakeholder management skills, with the ability to build effective working relationships across local Talent teams, Global Operations Team and AMS and Implementation partners Self-motivated and able to work under limited supervision Highly organized, able to multi-task and meet deadlines ·       Able to work effectively across regions and time zones, balancing local priorities with global standards Benefits Remuneration and benefits package will reflect the successful candidates experience and competencies. The above is intended to describe the general content of and requirements for the performance of this job.  It is not to be construed as an exhaustive statement of essential functions, responsibilities or requirements. Disclaimer: Please ensure when applying for this role you are legally eligible to work/live in your location. Visa sponsorship or relocation costs will not be provided.

— администрирование Oracle WebLogic domains, clusters и managed servers; — управление JMS, data sources, security и SSL certificates;

Функционал: Администрирование Битрикс24: стабильность, модули, устранение сбоев. Настройка воронок продаж: стадии, правила переходов, новые воронки.

– Проектирование и настройка коробочной версии Битрикс24; – Курирование команды аналитиков и координация аналитических работ;

Location: Remote Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE This is a hands-on technical role. You will join during a period of high growth for the IT team as the company expands its headcount, global footprint and opens new offices. You will work closely with the Security and Operations teams to keep our endpoints, offices, networks, and SaaS tools secure, while making sure people stay as productive as possible with the tools we have. You'll own and deliver technical projects across identity, endpoint management, office infrastructure, automation, and compliance, helping us build scalable IT systems that support the company as it grows. REQUIREMENTS - Strong hands-on background in IT Engineering, Technical Operations, or a DevOps-adjacent role, with an automation-first mindset and experience managing enterprise scale IT systems - Strong knowledge of identity and access management technologies (SAML, SCIM, OIDC) with tools such as Okta and Google Workspace - Expertise with Mobile Device Management tooling (e.g. Jamf, Kandji, Fleet) across a device fleet. - Scripting skills (Python, Bash, or similar) with a proven track record of automating compliance checks, device configuration, and other IT security tasks. - Experience managing office network equipment (e.g. Cisco Meraki, Ubiquiti), including office buildouts. - Proven ability to maintain compliance with SOC 2 / ISO 27001 (or similar) standards, paired with a friendly, end-user-focused attitude. - Prior experience in a high-growth or startup environment. BONUS - Experience implement corporate security controls / previous security role experience - Strong hands-on experience with VPNs, firewalls, and secure network environments, including modern practices such as Zero Trust networking. - Experience with OSquery and Santa - Terraform or other infrastructure as code experience. - Open source contributions (e.g. a tool you built to automate something). LOCATION This role is remote but if you prefer, you can work from our offices in London, Warsaw, New York or San Francisco. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

- Администрировать и развивать серверную инфраструктуру на базе Windows и Linux; - Сопровождать физическое серверное оборудование, в том числе размещенное в ЦОД;

Поддержка и консультирование пользователей в конфигурации 1С:ЗУП КОРП (система со значительными доработками). Регистрация, обработка и решение обращений пользователей в строгом соответствии с регламентами SLA.

Продвинутое знание Linux систем, опыт от 3 лет. Углубленное знание фундаментальных принципов работы компьютерной аппаратной части;

Location: Москва Команда занимается запуском, сопровождением и развитием автоматизированных систем трайба "Платежи", которые предоставляют клиентам возможность осуществлять платежи через различные каналы обслуживания. Мы ищем человека, который будет обеспечивать доступность и бесперебойную работу данных каналов. Обязанности * обеспечение бесперебойного функционирования АС класса MC/MC+ * мониторинг сопровождаемых систем, решение инцидентов * проведение внедрений релизов, участие в проведении приемо-сдаточных испытаний * повышение отказоустойчивости и надежности АС, автоматизация типовых задач. Требования * опыт администрирования приложений-контейнеров (OpenShift,DropApp), приложений-брокеров (kafka) от 1 года * опыт базового администрирование СУБД Pangolin, Linux, шлюза SOWA * представление об архитектурах приложений, интеграционных взаимодействиях, шлюзовых решениях * навыки работы с SQL _Будет плюсом:_ * имеете опыт сопровождения автоматизированных систем банка * имеете опыт работы системным аналитиком * работали с инструментами мониторинга (АС Тенги,АС Metrics,Grafana и др) * работали с инструментами DevOps: Git, BitBucket, Jenkins, ArgoCD * навыки работы с генеративными AI-моделями, опыт создания AI-агентов и использования их в работе * опыт использования GigaChat, Kandinsky и аналогов впродуктах, навыки создания и использования AI-агентов * инструментальное владение AI для анализа, генерации и автоматизации. Условия * офисный формат работы по адресу Кутузовский проспект 32к1 * 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.

Location: Владивосток Команда занимается сопровождением АС Единый Аудит.  АС обеспечивает получение и централизованное хранение событий аудита от всех АС Банка * основой АС является hadoop хранилище на несколько десятков петабайт, состоящее из 300+ серверов в каждом из плечей * решение относится к классу высоконагруженных (хайлоад), общий поток до 10 миллиардов событий в сутки, пиковый поток до 150k tps * система уровня критичности MC+ Обязанности * выполнение регламентных работ * контроль состояния компонентов системы * восстановление работоспособности, работа с инцидентами и проблемами; * установка релизов (участие в ИФТ, НТ и ПСИ) * участие в проведении аварийных учений. Требования * опыт работы с операционными системами Linux (уровень опытного пользователя) * базовые знания по сетевым технологиям (понимание общих принципов работы сетей TCP/IP) * понимание принципов работы систем виртуализации\\контейнеризации * понимание принципов реляционных СУБД * опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов. Будем плюсом: * опыт работы с контейнерной изоляцией (Docker, Kubernetes, OpenShift) * навыки работы с СУБД PostgreSQL * опыт администрирования nginx и серверов очередей (kafka) * навыки работы с любой из следующих систем мониторинга Zabbix\\Prometheus и Grafana * опыт работы с инструментами Jenkins, Git, Github\\Bitbucket * умение писать простые SQL запросы * технический английский (чтение документации), опыт подготовки эксплуатационных документов. Условия * работа по адресу Фонтанная 3 * график работы 5/2 с 9.00 до 18.00 (по договоренности возможно временное смещение в сторону часовых поясов Москвы) * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * уникальную систему обучения Сбера для профессионального и карьерного развития * расширенный ДМС и льготное страхование для семьи * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Сбор требований и формирование заданий на доработку систем и процессов; Тестирование нового функционала;

Location: Hyderabad Workplace: onsite On-site · Full Time · People Manager · +5 Years of Experience · India Only Corporate IT Manager This role is open only to candidates based in India. Applications from outside India will not be considered. Who We Are Yuno is the AI-native operating system of global commerce, powering the financial infrastructure of enterprise merchants, banks, and wallets. Through a single API, Yuno connects them to pay-ins, payouts, fraud prevention, KYC/KYB, and stablecoins globally, so they can operate everywhere. Agnostic by design and connected to 1,000+ payment methods and 460+ integrations in 190+ countries, Yuno optimizes acceptance rates, reduces costs, and strengthens security through specialized AI agents that learn from every transaction. Global brands including McDonald's, NetEase Games, GoFundMe, and Rappi run their payments on Yuno. About The Role Yuno is looking for a Corporate IT Manager, based in India, to own the internal technology backbone that keeps our fully remote, global team productive and secure. From device management and identity to SaaS administration and compliance, you'll lead Corporate IT, a new area within our Tech Infrastructure team, designing systems and automation that scale as Yuno grows across 190+ countries. This is not a helpdesk role. You'll own the corporate IT stack end to end, drive the roadmap, automate what others still do by hand, and make security and compliance a built-in default rather than an afterthought — which matters when the company runs payments for global brands. You'll work closely with our Security team, taking corporate IT workload off SecOps, and you'll build and lead the Corporate IT team as it grows. How AI Shows Up in This Role You'll build AI-driven automation for IT and helpdesk, turning repetitive requests and lifecycle workflows into self-serve flows, and maintain machine-readable documentation that AI assistants can act on As an AI-native company, Yuno runs on a growing stack of AI tools — you'll own how they're provisioned, secured, and governed across the org, managing access and OAuth/shadow-AI risk. And you're encouraged to use AI to move faster in your own work Your Contribution Will Be Corporate IT ownership and roadmap — own the corporate IT function end to end and drive the corporate IT roadmap as the company scales Device and endpoint management — own the MDM platform (Jamf, Intune, or Kandji) for a distributed macOS and Windows fleet: zero-touch provisioning, patching, configuration-as-code, and endpoint security Identity and access management — administer the identity provider (Okta or equivalent), SSO, MFA, and SCIM; automate onboarding and offboarding, and enforce least-privilege access across every system SaaS administration and governance — manage the SaaS stack (Google Workspace, Slack, Atlassian, and more), rein in shadow IT and OAuth risk, and right-size licenses and access Security and compliance — build and maintain the controls, access reviews, and audit evidence that keep Yuno compliant (SOC 2, PCI DSS, ISO 27001), partnering with Security on vendor reviews Automation — replace manual work with scripting and workflow automation (Python, Okta Workflows, or similar) Team leadership and enablement — act as the senior escalation point for complex IT issues, maintain clear runbooks and documentation, and lead and mentor the Corporate IT team as it grows What Success Looks Like Within your first 6–12 months, onboarding and offboarding run end to end without manual steps, the device fleet and SaaS access are fully managed and auditable, and SOC 2 and PCI evidence is something the team produces continuously rather than scrambling for at audit time. Skills You Need Minimum Qualifications 5+ years in corporate IT, IT operations, or IT systems engineering, ideally supporting a distributed workforce Experience managing or mentoring IT team members, or leading corporate IT for a team or company Based in India, with the right to work in India MDM expertise — hands-on with Jamf Pro, Intune, or Kandji for macOS and Windows fleet management Identity and access management — managing an identity provider (Okta strongly preferred), SSO, MFA, and provisioning/deprovisioning SaaS administration — Google Workspace, Slack, Atlassian, and similar, with an understanding of SaaS and OAuth governance Security and compliance — hands-on support for frameworks like SOC 2, ISO 27001, or PCI DSS (access reviews, audit evidence) Scripting and automation — Python, JavaScript, PowerShell, or workflow tools to eliminate manual toil Networking fundamentals — TCP/IP, DNS, DHCP, and VPNs English — advanced proficiency, written and spoken Preferred Qualifications Building AI-driven IT automation (e.g., Console.com, Risotto, Unthread) or helpdesk and agentic tooling Hardware lifecycle and asset management (ITAM) at scale Experience in the payments or fintech industry, where compliance and access controls are stricter Familiarity with Zero Trust, PAM, and least-privilege access models Nice to Have Configuration-as-code for endpoints (an infrastructure-as-code mindset for IT) Experience securing and governing AI tools or agents across an organization

- Сбор и анализ потребностей в доработке следующих конфигураций: 1С: УТ 10.3, 1С: УТ 11; 1С: WMS;

Location: Remote Workplace: Remote Kit https://kit.com/ is the email marketing platform experts choose to grow their audience, deepen their relationships, and build a business around the work they love. For coaches, YouTubers, authors, podcasters, and other creatives, there isn't a better marketing hub to rely on to grow audiences, automate email marketing, and sell digital products — all within one platform. More importantly, there isn't a team more committed to helping creators earn a living. We're on a mission to help creators earn $1 billion using our creator marketing platform. We have always been 100% independent and 100% remote. We are proud to have built a product that our customers love, and we look for people who have enthusiasm and belief in our mission, vision, and values to join our team. We're also embracing AI thoughtfully — both in how we build and how we hire to ensure our team is adaptable, innovative, and ready for what's next. THE ROLE We're looking for a Senior Infrastructure Engineer II to take ownership of a large share of Kit's core infrastructure: databases, Kubernetes, version upgrades, platform tooling, and day-to-day support. You'll also build the paved paths that let engineers, non-engineers, and AI agents test and ship changes safely. The infrastructure supports creators who depend on Kit to reach their audiences and earn a living. When it's healthy, nobody notices. That's the job. This is a full-time Individual Contributor role for an experienced infrastructure engineer who likes owning production systems end to end, takes on-call seriously, leans into automation and enjoys making other people's work easier.   YOUR SUPPORT SYSTEM You'll report to Mojtaba Hosseini https://www.linkedin.com/in/mojtaba-hosseini-7a6666/, VP of Engineering at Kit. Day to day, you'll work most closely with Kris Hamoud https://www.linkedin.com/in/kristopher-hamoud-17b34665/ and Ivan Mora Perez https://www.linkedin.com/in/ivan-mora-p%C3%A9rez-ab460b45/. You'll also partner with product engineers across Kit, and with teams outside engineering who rely on infrastructure to get their work done. Once you're ramped up, you'll join a three-person on-call rotation, which works out to roughly one week in three.   WHAT YOU'LL DO - First Week: Get access to our AWS accounts, Kubernetes clusters, monitoring, and CI/CD pipelines. Read through our runbooks and architecture docs. Take part in Get To Know Yous (GTKYs) with Kris, Ivan, and the engineering teams you'll support. - First Month: Pick up day-to-day infrastructure support requests and start working through them with Kris and Ivan as backup. Ship your first improvement, such as a version upgrade or a fix to a gap in monitoring. Shadow on-call shifts. Write down what you learn along the way, especially the parts that only lived in someone's head or those that can be automated or improved. - First Six Months: Own core infrastructure areas end to end: databases, Kubernetes, version upgrades, and platform tooling. Take your full share of on-call, which you'll start by the end of your first quarter. Become the go-to person for day-to-day infrastructure questions. Find one recurring source of pages and make it go away. Ship a first paved path, such as a sandbox environment where AI agents or non-engineers can safely build and test changes. - First Year: You're the primary owner of a large part of Kit's core infrastructure, and you lead projects in it without needing direction. Uptime stays at 99.9% or better, page volume is down, and you've found real cost savings. Your paved paths are in regular use by engineers, non-engineers, and AI agents. You've built observability good enough for AI agents to handle some on-call load. You've documented your decisions so others can build on your work.     WHAT WILL S.E.T. YOU UP FOR SUCCESS   Skills - Running production infrastructure on AWS at scale, including managed relational databases, networking, and load balancing - Operating Kubernetes in production: upgrades, capacity planning, and troubleshooting - Managing infrastructure as code and maintaining CI/CD pipelines that engineers trust - Building monitoring and alerting that catches real problems early and doesn't page people for noise - Diagnosing complex, multi-service incidents calmly, then fixing the underlying cause - Cutting cloud costs through right-sizing and reserved capacity without hurting reliability - Writing clear runbooks, docs, and decision write-ups - Nice to have: experience with Cloudflare, ephemeral or sandbox environments, or email sending infrastructure Experiences - Around 7 or more years in infrastructure, platform, DevOps, or SRE roles - Owning production infrastructure for a product where downtime costs customers money - Carrying a pager for systems you owned, and making that on-call rotation quieter over time - Leading a major upgrade or migration, such as a database or Kubernetes version upgrade, with little or no customer impact - Building self-service tooling or paved paths that other engineers actually adopted - Working on a small infrastructure team where you couldn't hand problems off to a specialist Traits - You own what you run. You spot infrastructure debt and fix it without waiting to be asked, and you follow through until it's done. - You build quality into the work. Upgrades have rollback plans, maintenance windows are planned around customers, and "good enough" is a decision, not a default. - You leverage AI effectively. AI helps you increase quality and velocity where it matters most. You know when to delegate and when to dive in, while holding accountability. - You make work easier for everyone else. You'd rather build a tool or write a guide once than answer the same question ten times. - You teach what you know. You write things down so the next person, or the next AI agent, can build on your work. - You work in public. You share context and tradeoffs openly, including during incidents and when things go wrong. - You use AI thoughtfully. It's part of how you work, and you help others adopt it without creating new risks. - You remember who's on the other end. An outage means a creator's launch email doesn't go out, and that shapes how you prioritize.   WHAT WON'T SET YOU UP FOR SUCCESS - Wanting a well-defined backlog handed to you each week. Here, you'll find much of the work yourself and set priorities with Kris. - Preferring not to be on call. On-call is a core part of this role, shared across a team of three. - You are skeptical of AI’s capabilities, or conversely use AI without good judgement and accountability. - Wanting mostly greenfield architecture. A lot of this work is running, upgrading, and improving systems that already exist. - Needing layers of approval before acting.   WORKING HOURS AND LOCATION We're 100% remote with team members across the globe. We work mostly on East Coast time—so if you're based on the West Coast of the United States, Europe, or Asia, you might have a few early mornings or late evenings. We do our best to keep things reasonable, but a little time zone juggling comes with the territory. This role is part of a three-person on-call rotation, so during your on-call week you'll need to be able to respond to pages outside your usual working hours. We believe PTO should always take priority over on-call. We schedule on-call around people's lives, not the other way around. On-call is a shared responsibility, but taking time off should never be a challenge   COMPENSATION + PERKS + BENEFITS Kit has standardized salaries based on position, no matter where you live. For this role, we're hiring at our level 4 ($197,000). Level is determined based on experience and our interview process.   PERKS + BENEFITS INCLUDE: - Profit Sharing https://www.linkedin.com/feed/update/urn:li:activity:7454911054947688448/ - Kit equity - 401k with a 5% match - We cover up to $2,280 per month toward medical premiums, with dental and vision premiums fully covered. We offer Health Insurance plans through Aetna - $2,000 equipment allowance for your first two years, $1,000 budget every following two years. Company-provided laptops are issued to every Kit team member and are not included in the equipment budget - Individual learning + development budget ($3,500/year) - Creator meetup budget ($50/month) to connect with creators over coffee, lunch, or other in-person meetups - Gender affirming benefits - Childcare benefit up to $3,000 annually through JOON - Twenty (20) days of paid time off during each year of employment - Paid paid vacation: An after-tax bonus of $1,000 for taking five consecutive days of vacation where you’re fully unplugged from work - Ten (10) paid holidays a year - Two weeks of paid sick time each year, including mental health + well being days - Twelve (12) weeks paid parental leave and flexible scheduling in your child’s first year - Up to six weeks of paid bereavement leave, medical leave, and disaster after six months of employment, two weeks of each paid leave in your first six months - Winter Break Closure: Kit closes for a week at the end of December, giving everyone a collective break to enjoy the holiday season. Essential support services remain available, with teams coordinating to ensure coverage during this period - Four-week, paid sabbatical after five years with the team - Fantastic in-person or virtual retreats with the team twice a year   HOW TO APPLY We usually receive a large number of applications, and our goal is to follow up with you within two weeks. You’ll hear from us either way. Here’s what you can expect from the rest of our hiring process: 1. A phone screen with our recruiter (30 min) 2. Hiring manager interview (45 min) 3. Take-home assignment 4. Technical interview (60 min) We’ll keep you informed through every step. To get started, complete this application, including a cover letter and answers to the questions on the next page. We read every single application, and your cover letter and responses help put your experience into context. Kit is an equal opportunity employer We value diversity in all of its forms. Research tells us that applicants who are female or non-binary, as well as applicants who are people of color, are less likely to apply for roles they do not feel 100% qualified for. If you think you meet more than 50% of our requirements but fewer than 100% of them, please apply. We’re imperfect communicators, so think of our job postings as the starting point for discussion rather than proof that you shouldn’t apply. Kit does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.