Вакансии

Location: Dubai, United Arab Emirates; Cairo, Egypt; India; Riyadh, Saudi Arabia Job Description We are looking for an experienced SAP Basis & Security Consultant to manage SAP technical administration, system performance, security, user access, and SAP landscape operations. The ideal candidate should have strong hands-on experience in SAP Basis as well as SAP Security and authorization management. Key Responsibilities: Perform SAP Basis administration across SAP environments. Manage SAP system installation, configuration, upgrades, patches, and system maintenance. Monitor SAP system performance, availability, and health. Manage SAP transports, jobs, users, RFCs, interfaces, and system connectivity. Handle SAP system copies, refreshes, backups, and recovery activities. Troubleshoot SAP technical and performance issues. Design and maintain SAP Security roles and authorizations. Manage user provisioning, role assignments, access requests, and authorization concepts. Perform SAP Security audits and support compliance requirements. Identify and resolve authorization issues and security risks. Support SAP GRC processes where applicable. Work with functional and technical teams to ensure secure and stable SAP operations. Support SAP upgrades, migrations, and cloud transformation projects when required. Requirements: 6+ years of experience in SAP Basis . Strong hands-on experience in SAP Security and Authorizations . Experience managing SAP landscapes across DEV, QA, and Production . Strong knowledge of SAP user administration, roles, profiles, authorizations, RFCs, transports, and system monitoring. Experience with SAP HANA administration is preferred. Experience with SAP S/4HANA is preferred. Knowledge of SAP GRC Access Control is an advantage. Experience with SAP cloud environments is an advantage. Strong troubleshooting and problem-solving skills. Good communication and stakeholder-management skills. Mandatory Certification: Valid SAP Cloud certification is mandatory. Candidate must hold a recognized SAP Cloud certification , preferably related to SAP S/4HANA Cloud, SAP BTP, or SAP Cloud Technology . Candidate must provide the certification name and certificate/credential ID .

Задачи: — Генерация и обоснование решений: самостоятельно придумывать, как закрыть потребность бизнеса, и аргументировать этот подход. — Прямая постановка ТЗ на разработку: перевод бизнес-требований на технический язык (уровень метаданных, структуры данных, логики кода) для финального программиста. — Контроль реализации: проверка качества кода и архитектурных решений, выполняемых программистом. Требования: — Практический бэкграунд в разработке 1С (обязательно в недавнем прошлом), умение читать и писать код 1С. — Глубокое знание типовых конфигураций 1С: понимание стандартных механизмов и логики построения типовых решений. — Умение работать «руками» с кодом, чтобы ставить ТЗ напрямую программисту без промежуточных звеньев. — Опыт работы в среднем/малом бизнесе, предпочтение специалисту с широким функционалом, а не узкой специализацией в больших корпорациях. Условия: — Командировки отсутствуют. — Формат работы: удаленный. — График: полный рабочий день (Full time). Стек и конфигурации: — Основные: 1С:УТ, 1С:УНФ. — Дополнительные: 1С:БП (небольшой объем), 1С:ERP (1 клиент).

Location: Turkey FREEDOM FINANCE TECHNOLOGIES is a Cyprus-based fintech company and part of the international financial holding Freedom Finance. We develop and maintain trading and banking IT products, as well as the holding’s IT infrastructure worldwide. Our team currently consists of 170 professionals.  Over the past three years, we have grown fourfold and continue to actively expand our team. Since 2009, we have been developing our core product - a trading system for brokerage operations in the stock market. More than 700,000 users across 41 countries use our applications. We are looking for a VMware Virtualization Engineer to strengthen our Virtualization and Network Infrastructure team. Key Responsibilities: Operate and develop production virtualization infrastructure based on VMware vSphere (ESXi, vCenter). Support high-availability virtualization clusters and participate in incident resolution. Analyze and resolve technical issues related to hypervisor performance, network infrastructure, and storage systems. Work with storage systems using Fibre Channel and iSCSI. Collaborate with the network infrastructure team to ensure the proper operation of the virtualization environment. Participate in the installation, connection, and commissioning of server hardware. Operate server remote management systems (iDRAC and similar tools). Take part in infrastructure modernization, migration, and testing projects. Requirements Experience administering VMware vSphere in a production environment. Understanding of VMware architecture, including the ESXi scheduler, NUMA architecture, memory management, and storage subsystem. Experience working with storage systems: Fibre Channel zoning, multipathing, latency, and performance analysis. Knowledge of networking technologies required for virtualization operations: VLANs, trunks, LACP, MTU/jumbo frames, and basic L2/L3 principles. Understanding of KVM virtualization principles and architectural differences from VMware. Experience working with enterprise-grade server hardware (Dell, Supermicro, or similar). Experience with server remote management systems (iDRAC), including remote access, firmware updates, and basic hardware diagnostics. Strong independent troubleshooting and technical problem-solving skills. Native Russian Benefits Fully remote work. Daytime and evening working hours according to the Moscow time zone. A service contract with a Cyprus-based company. Fixed monthly salary in euros. Paid annual leave of 21 working days. Paid sick leave. Public holidays: New Year holidays until January 4–6, plus May 1–2 or May 8–9. One additional paid day off per month. Coverage of professional training courses related to your area of work. Coverage of participation in professional online conferences. Training on products and processes. A genuinely comfortable and professional working environment. Opportunities to grow and develop alongside the company and its products.

About KPI Solutions: KPI Solutions is a national supply chain consulting and warehouse automation systems integrator, formed in 2021 by merging Kuecker Logistics Group, PULSE Integration, and QC Software. The company specializes in material handling integration and delivers engineered solutions combining automated technologies (MHE, robotics, conveyor, ASRS, AMR/AGV) with intelligent warehouse execution software to optimize productivity and fulfillment speed. Position Summary: The Software Deployment Engineer I/II is an individual contributor responsible for end-to-end delivery, configuration, installation, and support of Kommand warehouse execution/control systems and related material handling hardware such as pick-to-light, overhead illuminators, AutoStore, and T-sort integrations. The role includes project-level system configuration, commissioning, installation, upgrades, and live troubleshooting independently across on-site and remote/office phases. This role consolidates hardware installation and commissioning functions previously done by a dedicated Systems Integration & Commissioning team. Key Responsibilities: On-Site Delivery: — Lead software commissioning of Kommand and peripheral hardware systems at customer sites as primary technical owner. — Full-scope installation of pick-to-light and overhead illuminator systems including wiring, physical installation, configuration, and functional testing. — Conduct Installation Qualification (IQ) and User Acceptance Testing (UAT) with formal documentation and customer sign-off. — Sole owner of Kommand and system-level troubleshooting for live production issues during on-site engagements. Remote / Office Delivery: — Independently deliver new Kommand installations including application pre-configuration, database scripting, and pre-deployment testing. — Deliver Kommand version upgrades including SSDT schema comparisons, version control, local pre-install testing, and customer coordination. — Perform production upgrade execution after business hours to minimize downtime. — Work on DEV, QA, and Sandbox environments during business hours. — Validate, diagnose, and remediate defects, escalating rarely. — Participate in on-call rotation covering Kommand, AutoStore, and T-sort system escalations. — Provide post-go-live support including system migrations, integration testing with ERP/WMS platforms (e.g., SAP/WMS), and multi-site rollout support. Project Configuration & Deployment: — Gather Kommand configurations and system parameters for projects. — Translate Business Requirements Document and customer conversations into system settings, network spreadsheets, and parameters. — Educate clients on host interface use. — Configure Kommand sandbox and production environments for customer testing and go-live. — Assist with training on new features. Scope & Independence: — Sole owner of critical workstreams including new installations, upgrades, and live troubleshooting. — Requires judgment and technical depth to manage customer-facing delivery, testing, and sign-off without dedicated support. Requirements: — Experience commissioning warehouse execution/control software and hardware peripherals. — Working knowledge of SQL Server environments including SSDT schema comparison and version control. — Experience with formal software testing methodologies (IQ/UAT) including documentation and customer sign-off. — Ability to diagnose, troubleshoot, and resolve live production issues under time pressure. — Comfort or willingness to perform hands-on installation work for pick-to-light and overhead illumination systems. — Willingness to work after hours and participate in on-call rotation. — Ability to translate business requirements into structured system configuration. — Strong customer-facing communication skills. Preferred Qualifications: — Experience with AutoStore and/or T-sort systems. — Experience with ERP/WMS integration testing (e.g., SAP). — Background in material handling, warehouse automation, or industrial controls. What we Offer: — Medical, Dental, Vision Insurance — Health Care Concierge Service — 401(k) Retirement Plan (Pre-tax & Roth) — Company paid Basic Life Insurance, Short-Term and Long-Term Disability — Voluntary Life & AD&D Insurance — Voluntary Accident, Critical Illness & Hospital Indemnity Insurance — Pet Insurance — Milk Stork Program — Wellness Program with gift card redemption and challenges — Paid Time Off (Vacation, Sick & 10 Holidays) — Training & Development Equal Employment Opportunity statement included.

Location: Bangkok, Thailand Workplace: hybrid David Kennedy Recruitment is working with a Forex/CFD broker whose entire business operates on the MT5 platform, seeking to onboard a Trading Platform Admin (MT5 Certified) to join their team. Position: Trading Platform Administrator Location: Bangkok, Thailand Work model: Hybrid Employment type: full time. RESPONSIBILITIES: Administer and maintain the full MT5 server stack, including Trade Server, Manager, Admin and Gateway, ensuring stability, security and high uptime Configure and maintain Symbols, Groups, Commission, Swap and Margin settings in line with business policies Manage plugins and bridges connecting MT5 with Liquidity Providers, CRM and payment systems Plan and execute server upgrades, patches, backups and disaster recovery procedures Monitor platform security and identify and prevent exploits, arbitrage abuse and latency arbitrage Work closely with the Dealing Desk, Risk and Compliance teams to align platform configuration with the business's risk appetite Act as the senior MT5 point of contact for both technical and business teams Document configuration standards, SOPs and incident reports Provide on-call support for after-hours platform issues REQUIREMENTS: 5+ years of experience administering MT5 servers, including Manager, Admin, Gateway and Bridge Fluent in English, both written and spoken MT5 Certification from MetaQuotes or equivalent Solid understanding of Forex/CFD broker mechanics, including spread, commission, swap, margin and leverage Working knowledge of Windows Server, networking and security fundamentals Strong communication skills with the ability to work effectively with both technical and business stakeholders Ability to troubleshoot effectively under pressure in an environment requiring continuous platform availability OFFER: Hybrid working model Salary based on experience Clear growth path towards leading the Platform/Infrastructure team Opportunity to take ownership of the core trading platform supporting the wider business And many more!

Location: Malaysia 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: Singapore 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: Serbia 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: Poland 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.

Задачи: — Консультирование пользователей по работе с конфигурацией 1С: УТ 11, 1С: WMS; — Сбор и анализ потребностей в доработке конфигураций 1С: УТ 10.3, 1С: УТ 11, 1С: WMS; — Формирование технических заданий разработчику на доработку в 1С: УТ 10.3, 1С: УТ 11, 1С: WMS; — Приемка и тестирование доработок от разработчика; — Взаимодействие с бизнес-заказчиками и выстраивание прозрачных процессов. Требования: — Понимание предметной области и процессов в логистике и ритейле; — Понимание принципов сбора и анализа информации для проектирования информационных систем; — Понимание нотаций бизнес-процессов и практический опыт; — Опыт работы со встроенным языком запросов платформы 1С; — Опыт и понимание принципов тестирования конфигураций 1С; — Понимание структуры, назначения и возможностей метаданных конфигурации 1С; — Понимание видов интеграций между системами и форматов передачи данных; — Понимание методов оценки трудоемкости, приоритезации задач и управления рисками. Будет преимуществом: — Опыт работы во франчайзи и консалтинге; — Опыт работы с конфигурациями 1С: TMS, 1С: WMS; — Опыт работы со встроенным языком 1С; — Знание продуктов Atlassian (Jira, Confluence); — Знание типового функционала 1С: УТ 11 на уровне консультанта; — Практический опыт использования популярных моделей ИИ. Условия: — Работа удаленно или в офисе в БЦ Кунцево Плаза, 5 минут пешком от м. Молодежная; — График работы 5/2 с гибким началом рабочего дня; — Официальное оформление по ТК РФ, официальная зарплата с выплатой 2 раза в месяц, оплачиваемый больничный и отпуск 28 календарных дней; — ДМС включая стоматологию (условия зависят от стажа); — Дисконтная карта на продукцию компании, участие в распродажах в офисе; — Корпоративные скидки на фитнес; — Перспективы профессионального и карьерного роста; — Уютные лаундж-зоны, технологичные переговорные, просторные кухни и вкусный капучино.

Location: Remote (US) IT Engineer About the company Hi, we're Ondo Finance. Our mission is to provide institutional-grade, blockchain-enabled investment products and services. We have both a technology arm that develops decentralized finance technology, and an asset management arm that creates and manages tokenized funds. We were the first company to tokenize exposure to US Treasuries, and have since expanded into several other assets. We are also focused on incubating protocols that can support both tokenized real-world assets and traditional crypto. Founded by folks from Goldman Sachs Digital Assets Team, we're backed by some of the best investors in the world including Founders Fund, Coinbase Ventures, Pantera Capital, Tiger Global, and more. We are currently the leaders in the space in terms of AUM and are well capitalized to continue growing the firm. We're fully remote, with team members across the U.S. About the role We are seeking a motivated, systems-oriented IT Engineer to join our Corporate IT team. This role combines hands-on IT operations and Tier 1–2 support with ownership of identity, access, endpoint management, and employee lifecycle workflows. You will work closely with the IT Operations Engineer and Security team to operate and continuously improve a modern, SaaS-first, highly automated IT environment. This is a junior but high-impact role designed for someone who wants to grow into identity-driven, automation-focused IT. Responsibilities Identity, Access & SaaS Operations Support day-to-day administration of IAM platforms such as Okta (or similar IdPs), including user lifecycle workflows, access provisioning, group management, and MFA. Assist with SSO and SCIM integrations between IAM systems and SaaS platforms such as Google Workspace, Slack, Notion, and other internal tools. Help enforce least-privilege access principles and support periodic access reviews and audits. Execute secure and timely access provisioning and deprovisioning aligned with documented lifecycle processes. Endpoint & Device Management Support macOS endpoint management using Addigy, Iru, or similar platforms. Assist with device enrollment, compliance monitoring, troubleshooting, and lifecycle workflows. Coordinate device preparation, shipping, replacements, and secure device recovery for offboarding employees. Help maintain endpoint security standards and configuration baselines. Employee Lifecycle & Automation Execute and coordinate end-to-end onboarding and offboarding processes, including: Account provisioning and access configuration Device setup and logistics Role-based access enforcement Secure deactivation and asset recovery Assist in building and maintaining low-code / no-code automations (e.g., Okta Workflows) to reduce manual effort and increase reliability. Ensure lifecycle processes are documented, repeatable, and auditable. Identify opportunities to improve lifecycle efficiency and reduce operational risk. Tier 1 & 2 IT Support Provide day-to-day IT support across identity, SaaS applications, access issues, and macOS endpoints. Serve as an escalation point for more complex access, integration, or device issues. Perform structured troubleshooting and root-cause analysis rather than applying temporary fixes. Identify recurring operational problems and contribute to durable, system-level improvements. Vendor Lifecycle & IT Operations Support vendor onboarding, evaluation, and renewals. Assist with SaaS access reviews and vendor offboarding. Help maintain visibility into vendor usage, contracts, and lifecycle status. Contribute to improving procurement and asset tracking processes. Requirements 2–3 years of experience in IT support, IT operations, or systems-focused roles. Experience providing Tier 1–2 IT support in a SaaS-heavy environment. Solid understanding of identity and access management fundamentals, including SSO, SCIM, MFA, and RBAC. Hands-on experience with IAM platforms such as Okta, Azure AD, or similar. Experience supporting Google Workspace or Microsoft 365 environments. Experience supporting macOS environments or strong endpoint fundamentals. Comfort working in a terminal / CLI environment appropriate to experience level. Ability to read and modify scripts written in Python, Bash, or PowerShell. Strong written communication and documentation skills. Ability to work independently in a fully remote environment. Backgrounds in Microsoft-centric environments (O365, Azure AD, Intune) are welcome, provided there is comfort learning Okta and SaaS-first tooling. Nice to haves Experience with endpoint management platforms such as Addigy, JAMF, Iru, or Intune. Experience building or maintaining low-code / no-code automations (e.g., Okta Workflows). Exposure to SaaS-first, identity-driven IT architectures. Familiarity with vendor management, procurement workflows, or asset lifecycle tracking. Interest in identity governance, security-adjacent work, or enterprise automation. Relevant certifications (Okta certifications, CompTIA A+/Network+/Security+, Google Workspace, Microsoft certifications). What we offer Competitive compensation including salary and/or equity (according to your preferences) — we're well-funded and believe that great talent deserves great compensation Full benefits (medical, vision, and dental) and flexible vacation policy (PTO) Small remote-first team across many countries — you'll be an early team member helping shape our vision, culture, and design practices A+ colleagues — our team includes alumni from: Goldman Sachs, Blackrock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, Pinterest, McKinsey, Circle, Uniswap, Phantom Best-in-class investors — we are proud to be backed by leading crypto experts and VCs, including Pantera Capital, Founders Fund and Coinbase Ventures

Location: Kansas City, Missouri, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role As a Data Center Technician , you will play a vital role in maintaining and optimizing the IT infrastructure within our data center. This includes working hands-on with modern technologies such as the advanced H200 GPU cloud cluster. Your responsibilities will include supporting the data center’s IT infrastructure by troubleshooting and resolving hardware issues, performing hardware and network diagnostics, carrying out physical repairs, and ensuring the smooth operation of critical systems. This is a shift-based role and may also require occasional travel between data center locations. You will work onsite in our Kansas City, Missouri data center location. Your responsibilities will include: Diagnosing and resolving issues related to IT hardware and ensuring the continuous support of the data center's IT infrastructure across all compute, storage, and networking platforms. Collaborating effectively with internal teams and external contractors to address technical and operational challenges across the data center floor. Installing, upgrading, and decommissioning hardware based on operational requests, change requests, and project requirements. Managing and maintaining the connectivity of fiber optic cables, copper patch cords, and structured cabling in accordance with Nebius standards and documentation. Planning, executing, and monitoring regular IT tasks — including preventive maintenance, break/fix activities, and routine deployments — to maintain and improve data center infrastructure operations. Supporting the Return Merchandise Authorization (RMA) process by assisting with hardware identification, fault documentation, and coordination with the DC Diagnostic & RMA team, in accordance with established Nebius procedures. Developing and maintaining clear, accurate documentation including hardware configurations, troubleshooting guides, maintenance logs, and operational runbooks. Collaborating with cross-functional stakeholders including shift leads, infrastructure engineers, and DC management to ensure work is completed to standard and on schedule. Participating in shift-level technical tasks and project execution as directed by the Senior DC Technician or Lead DC Technician. Monitoring and reporting on the status of assigned work items, incidents, and hardware tasks through Nebius ticketing and operational systems. We expect you to have: Hands-on experience diagnosing and resolving server hardware issues in a production or enterprise data center environment. A solid understanding of data center operations, server architecture, and network equipment principles. Basic proficiency in the Linux operating system and familiarity with command-line tools for system identification, log review, and basic diagnostics. Practical experience working with server IT hardware, enterprise-grade network switches, and fiber optic cabling. Proficiency with standard documentation and productivity tools including spreadsheets, with the ability to maintain logs, records, and operational reports. A proactive, responsible, and quality-focused approach to work with a strong commitment to safety and process adherence. Core Physical Requirements: Ability to stand and remain on your feet for extended periods, typically four or more consecutive hours during active shift operations. Ability to safely lift, carry, and position equipment weighing up to 50 pounds unassisted, and heavier loads with appropriate team-lift protocols or mechanical aids. Comfortable working at heights including ascending and descending ladders, raised platform equipment, and elevated data center infrastructure. Ability to work in confined spaces such as under raised floors, within enclosed rack enclosures, and in cable management pathways. Comfortable working in environments with variable temperatures, including cold aisle containment zones and active cooling infrastructure. Manual dexterity sufficient to handle small form-factor components, precision cabling, and fine connector installations. Visual acuity sufficient to read equipment labels, small-form-factor interface indicators, and detailed wiring diagrams in variable lighting conditions. Ability to push or pull equipment carts, server sleds, and wheeled infrastructure weighing up to 500 pounds on level surfaces. It will be an added bonus if you have: Valid Driving License Project planning skills Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $30 — $42 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Mumbai Workplace: onsite About Lyra Lyra Health is the leading provider of mental health solutions for employers supporting more than 20 million people globally. The company has delivered 13 million sessions of mental health care, published more than 20 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. The Junior Clinical Case Manager (Jr. CCM) operates as a vital link between direct clinical care and operational oversight within Lyra Health’s mental health delivery model in India. This permanent position encompasses first-line helpline and crisis management, clinical intake triage, and the delivery of structured, workplace-focused short-term therapy. Beyond direct care, the role drives quality assurance and operational compliance by auditing clinical documentation, monitoring outcome metrics such as CORE-10, preventing clinical drift, and managing affiliate network relationships and onboarding. Requiring a Master’s degree in Clinical or Counseling Psychology, three to six years of progressive clinical experience—preferably in EAP or corporate mental health environments—and fluency in English and Hindi, the Jr. CCM blends high-level clinical risk assessment with detail-oriented case management to ensure high quality, scalable care across the provider network. Purpose of the Job: To manage clinical operations, facilitate referrals, and monitor the quality of care delivered by the provider network. It is a permanent position focused on operationalizing high-quality clinical care. Working Hours: 48 hours per week. Schedule: 5 or 6 days a week; various shifts may be applicable. Hybrid Work: Hybrid working can be considered as per the need of the job. Responsibilities: 1. Helpline & Crisis Management Serve as the primary first point of contact for employees and their dependents accessing the Lyra helpline via telephone, live chat, or email. Provide immediate "in-the-moment" clinical support to callers in distress, utilizing psychological first aid and stabilization techniques. Conduct comprehensive clinical risk assessments for every contact to identify potential self-harm, ideation, or risk to others, adhering to Lyra’s established risk protocols. Manage emergency interventions and coordinate with local emergency services or internal senior clinical leads when high-risk situations are identified. 2. Clinical Intake & Triage Conduct detailed clinical intake interviews to assess the user’s presenting concerns, history, and level of psychological distress. Evaluate the appropriateness of short-term counseling versus higher-acuity care pathways based on the clinical assessment. Utilize internal decision-making frameworks to assign clients to the most suitable professional within the in-house team or the partner provider network, matching based on clinical specialty and language preference. Accurately capture and document all clinical intake data, including CORE-10 scores and work impact metrics, in the database to ensure a seamless handover to the treating clinician. 3. Delivery of Clinical Sessions Provide high-quality, professional counseling and psychotherapy sessions to clients within a structured, short-term framework. Utilize evidence-based interventions (such as CBT or solution-focused therapy) to address client queries and specific mental health concerns. Ensure all clinical sessions are workplace-focused when appropriate, helping the service user improve their level of functioning and productivity. Maintain accurate, contemporaneous clinical notes for every session, ensuring they meet the legal and professional standards of the Indian healthcare landscape. Monitor client progress through regular outcome measurement and adjust the treatment plan as necessary, or escalate to the Senior CCM for complex case review. 4. Documentation Oversight & Quality Assurance Conduct systematic monitoring of all active clinical cases from initiation to closure to ensure strict adherence to Lyra’s clinical documentation standards. Proactively follow up with internal clinicians and affiliate providers to secure missing or delayed clinical notes, treatment plans, and discharge summaries. Audit case files for the accurate inclusion of outcome measurements, specifically tracking the consistent use of CORE-10 and work impact scores. Ensure all clinical documentation is captured within the database in a timely manner, maintaining a high standard of data integrity for audit readiness. Identify and escalate recurring documentation gaps to the Senior CCM to facilitate targeted provider training and performance management. 5. Affiliate Network & Specialty Support Serve as the primary point of operational contact for the partner provider network, offering continuous support regarding administrative and portal requirements. Maintain and verify the accuracy of the affiliate database, ensuring all partner providers have professional, updated bios that reflect their current clinical expertise. Routinely audit and update provider specialties and language proficiencies to ensure the intake team can perform precise referral matching. Assist in the onboarding process by training new affiliates on Lyra’s specific clinical protocols, risk management procedures, and case referral workflows. Support partner providers in navigating cross-border referral processes and understanding local compliance nuances. 6. Protocol Adherence Intervention Alignment: Rigorously audit treatment plans to ensure all clinical interventions align with Lyra’s evidence-based, short-term, and solution-focused models. Workplace Focus Integration: Evaluate clinical goals to ensure they are specifically designed to improve the service user’s level of functioning within the workplace, focusing on "Work Impact" and productivity restoration. Goal-Oriented Care: Verify that every treatment plan includes clear, measurable objectives that can be reasonably achieved within the prescribed short-term session limit. Clinical Gatekeeping: Identify and address "clinical drift" where therapy may be deviating from the brief intervention framework or losing its workplace-centric focus. Standardized Assessment Review: Monitor the consistent application of clinical outcome measures (such as CORE-10) to validate that the intervention protocol is resulting in measurable symptom reduction. Provider Consultation: Provide direct feedback and consultation to partner providers when treatment plans do not meet Lyra’s specific clinical protocols or service level agreements. Case Escalation: Manage the transition of cases that require longer-term or higher-acuity care, ensuring the handover remains compliant with Lyra’s global clinical standards and local professional guidelines. 7. Miscellaneous Upholding Lyra Values: Act as a brand ambassador by consistently demonstrating Lyra’s core values of clinical excellence, innovation, and empathy in every interaction with colleagues, providers, and service users. Task Ownership & Accountability: Ensure all allotted clinical and administrative tasks are performed with high precision and within agreed-upon Service Level Agreements (SLAs). Process Optimization Initiatives: Proactively identify gaps in current workflows and take the initiative to propose and implement solutions that enhance operational efficiency and clinical outcomes. Cross-Functional Coordination: Collaborate seamlessly with the Clinical Lead, Client Success, and Product teams to ensure the delivery of the highest quality care to both clients (companies) and individual customers. Workshop Delivery & Training: Participate in opportunities to deliver onsite or online workshops and training sessions for client organizations as requested. Content Creation: Contribute to the development of clinical content, training manuals, and affiliate-facing materials to maintain Lyra’s position as a thought leader in mental health. Event Participation: Represent Lyra Health at professional events, webinars, and industry conferences to promote Lyra’s transformative care model and clinical research. Experience: Qualification: Masters in Clinical or Counseling Psychology; RCI registration is desirable. Experience Level: 3–6 years of progressive working experience in a clinical setting. Specialized Experience: Strong preference for candidates with a background in EAP or workplace mental health, particularly with work-impact cases. Global Exposure: Experience navigating diverse healthcare systems and cultural nuances is preferred. Technical Skills: Proficiency in Google Suite and CRM systems. Linguistic Skills: Must be bilingual in Hindi and English. About You: Clinical Acumen: Strong clinical understanding with the ability to identify and assess clinical risk within a case management framework. Problem Solver: Analytical approach to solving operational bottlenecks and navigating network challenges. Autonomous & Accountable: Able to manage individual caseload responsibilities and escalate clinical concerns accurately. Detail-Oriented: Meticulous attention to detail in monitoring clinical notes and auditing outcome measurements (CORE-10). Communicator: Clear verbal and written skills for managing relationships with external providers and internal teams. Proactive & Adaptive: Continuous improvement mindset to refine referral and coordination processes. Organized: Exceptional ability to prioritize operational tasks and meet reporting deadlines under pressure. Collaborative: Collaborates effectively with internal stakeholders to achieve a seamless global account experience. "We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law. By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra.  We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR.  Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives.  If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form.  This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice."

Задачи: Проведение обучения пользователей по сценариям в УХ и УПП, поддержка пользователей при прохождение сценариев Требования: Опыт работы Аналитиком 1С от 5 лет Опыт внедрения 1С УХ/ЕРПУХ в части РСБУ в качестве Аналитика 1С Обязательные навыки: Знание стека : 1С УХ (ЕРПУХ/БУХ КОРП) 1. Знание по РСБУ вплоть до формирования отчетности по ERP/КА; 2. Знание УПП на уровне разобраться в функциональности по формированию хоз операций. 3 Знание УХ (ЕРПУХ/БУХ КОРП) по РСБУ Понимание структуры конфигураций 1С, назначения объектов метаданных. Умение последовательно излагать мысли, грамотная устная и письменная речь. Желательные навыки: 1. Знание УХ (ЕРПУХ/БУХ КОРП) по РСБУ по всем разделам вплоть до формирования отчетности; 2. Знание УПП (в прошлом был проект) - является преимуществом

Задачи: — Работа на внутреннем проекте по внедрению и доработке 1С: КА; — Проведение обследований бизнес-процессов: интервьюирование сотрудников, анализ информации, формирование перечня задач; — Описание бизнес-процессов «как есть» и «как будет» с привязкой к возможностям 1С: КА (преимуществом будет опыт моделирования процессов в BPMN 2.0); — Проектирование правил переноса данных, синхронизации с другими системами 1С; — Формирование функциональных требований, написание ТЗ, постановка задач разработчикам; — Проведение тестирования, исправления ошибок, функциональных разрывов между бизнес-требованиями и реализованным решением; — Консультирование и обучение пользователей типовому и внедрённому функционалу; — Написание пользовательских инструкций, документации, наполнение базы знаний, проведение обучения пользователей. Требования: — Высшее техническое или экономическое образование, профильные курсы по учету и конфигурированию в линейке продуктов 1С; — Опыт работы на аналогичной должности в торговом предприятии или в компании-интеграторе от 3-х лет; — Глубокие знания системы 1С: УТ/КА 2.5; — Наличие завершенных проектов по внедрению 1С: УТ/КА/ERP; — Уверенное владение функциональными блоками складского, управленческого и регламентированного учета; — Умение читать и понимать код, владение СКД; — Высокая степень самоорганизации и ответственности; — Ответственность, коммуникабельность, позитивное мышление, скрупулёзность, грамотная речь. Условия: — Официальное трудоустройство по ТК РФ, своевременная выплата заработной платы дважды в месяц; — Пятидневная рабочая неделя: пн-пт с 9 до 18, сб-вскр выходные; — Работа в офисе по адресу г. Иркутск, ул Киевская 9а, возможен переход на гибридный формат после испытательного срока; — Дополнительные социальные гарантии (материальная помощь в сложных жизненных ситуациях, премии к юбилеям, премии ко дню рождения компании, новогодние подарки детям сотрудников, корпоративные мероприятия, доп оплачиваемые дни отпуска,); — Скидки на продукцию компании. — Стабильная работа в крупной компании с широкой географией присутствия (более 20 филиалов по стране, успешно работали в период пандемии, а также продолжаем развиваться в условиях санкций).

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The IT Operations team keeps Anthropic running. We make sure every employee can do their best work without friction. We're hiring an IT Operations Engineer to develop our global asset management and hardware lifecycle program across our offices in San Francisco, New York, Seattle, London, Dublin and Sydney. You will bring program expertise to how we track hardware as inventory through its whole life: procurement and receiving, the inventory of record, assignment, refresh, collection and recovery, e-waste and secure disposal, and reseller relationships, iterating and scaling practices as we mature. The same person runs day-to-day operations for our corporate mobile program in addition to expertise in management of laptop and workstation lifecycle operations. You'll partner with several teams within the IT, Security and business operations organizations: IT Hardware Ops runs procurement, fleet logistics, onboarding and offboarding, the storage room, and physical intake. The Endpoint pod owns MDM, device policy and enrollment. Finance owns the budget and vendor contracts. Hardware requests that come through the IT Support queue land with the IT Support team, and you'll help define how they are handled. Responsibilities Strategy and Tooling Develop the global asset management strategy: the lifecycle model, the data we keep on every device, and how each office executes against it Select, implement and administer the asset management tool, define its data model and integrations, and partner with IT Engineering where the work needs platform-level access Contribute to and develop the processes on-site engineers in each office execute against, including the storage room process Support the evaluation and onboarding of a hardware lifecycle services vendor and, once in place, run the day-to-day relationship Inventory and Assignment Establish the inventory of record across systems and keep it accurate, from receiving through disposal: every device, its state, its location, and who has it Run audits of who-has-what and reconcile physical counts against the system of record Manage demo, loaner, and travel device inventories, ensuring devices are accurately tracked through complex logistical deployments Maintain up-to-date inventory counts and make strategic purchasing decisions in support new hire onboarding and peripherals stock levels Procurement and Refresh Support hardware purchasing through our reseller and vendor relationships, working from the refresh calendar Build out the refresh calendar and advance it across offices Reconcile purchase orders, deliveries and invoices with Accounting and vendors so that what was ordered, received, and billed line up Collection, E-waste and Disposal Develop device collection and recovery workflows: offboarding returns, refresh swaps, remote-employee returns and the BPO fleet, including the shipping and tracking that goes with them Build the e-waste program: certified recycling and secure disposal partners in each region, data destruction records, and the chain of custody from collection to certificate Handle equipment under legal hold or other chain-of-custody requirements BPO and Contingent Fleet Provision, track and recover the device fleet for our BPO partners, and be the day-to-day hardware contact for those vendors Corporate Mobile Run day-to-day operations for the corporate mobile program and write its runbook Manage deployment, break-fix, and carrier relationships associated with a mobile device fleet Automation Identify repetitive work throughout the operation and automate it with the tools at hand (scripts, systems integrations / connectors, AI tools) You may be a good fit if you Have implemented an asset management and lifecycle program for a multi-office fleet, not only run one: taken it from spreadsheets or nothing to a system of record and defined the processes around it (procurement, inventory, assignment, refresh, collection and disposal), ideally in a fast-paced or high-growth environment Have selected or implemented an asset management platform such as Jira Assets, Snipe-IT or similar, and developed the data model Have run an e-waste or secure disposal program with certified partners and chain-of-custody records Have managed reseller or vendor relationships for hardware purchasing and asset disposal Write things down: runbooks, how-to guides and knowledge base articles Recognize when a request reaches past this role and route platform work to IT Engineering, policy to the Endpoint pod, and budget to Finance Strong candidates may also Have supported a corporate mobile program or carrier account Have basic scripting experience (Bash or Python) for inventory or reporting automation Have experience using AI tools to improve personal or team productivity Have been the hands-on asset contact for an ISO 27001 or SOC 2 audit: pulled extracts from the register, produced disposal certificates and evidence of returned assets Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $180,000 — $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Описание проекта: Крупный проект по бюджетированию на 1С ERP:УХ Требования к специалисту: — Опыт работы Аналитиком 1С от 5 лет — Хорошее знание 1C ERP УХ в качестве Аналитика 1С — Опыт настройки бюджетных форм — Умение писать ФДР на доработки — Грамотная речь и письмо — Умение и желание работать со стажерами Командировки: да График: Full time Формат работы: Гибрид (2 недели у Заказчика, 2 недели удаленно)