Удалённая работа

Задачи: — быть CTO/Head of Engineering в новом продукте с нуля в сферах B2B, e-commerce или логистики. Требования: — опыт работы CTO/Head of Engineering от 3-х лет в B2B, e-commerce или логистических проектах; — практический опыт построения микросервисной или модульной архитектуры (DDD, API-first, event-driven); — глубокое понимание CI/CD, контейнеризации (Docker, Kubernetes) и облачной инфраструктуры; — опыт интеграции с 1С/ERP, WMS, CRM и платежными шлюзами; — разговорный английский на уровне B2; — стратегическое мышление и умение переводить бизнес-задачи на технический язык; — лидерские качества и опыт антикризисного управления. Условия: — удалённая работа.

Location: India Job Overview We are seeking an experienced AI Solution Architect to design and lead end-to-end enterprise AI Factory and GPU infrastructure solutions spanning compute, high-performance networking, storage, Kubernetes, cloud, and AI/ML platforms. The role requires strong expertise in NVIDIA GPU technologies, AI workloads, scalable infrastructure architecture, security, observability, performance engineering, and capacity planning . Key Responsibilities Own end-to-end architecture for AI Factory and enterprise AI solutions from requirements through production readiness. Assess AI/ML workload requirements for training, fine-tuning, inference, batch processing, and high-performance computing. Design GPU compute architectures including NVIDIA HGX/DGX/OEM platforms, multi-GPU systems, NVLink/NVSwitch, and GPU resource allocation. Design high-performance AI networking using 100/200/400/800G Ethernet, EVPN/VXLAN, and leaf-spine architectures. Design AI storage and data architectures using object storage, parallel file systems  like  Ceph, WEKA, , or equivalent platforms. Define AI platform architecture across Kubernetes, HPC, container runtimes, model-serving platforms, and enterprise AI frameworks. Establish architecture standards for security, identity, tenant isolation, data protection, observability, disaster recovery, and operational resilience. Develop reference architectures, high-level/low-level designs, capacity models, bills of materials, technology evaluations, and implementation roadmaps. Lead technical evaluations, proof-of-concepts, vendor assessments, and architecture review boards. Collaborate with infrastructure, network, security, storage, cloud, data, application, and operations teams. Define performance, availability, scalability, security, and cost objectives and validate architecture against measurable acceptance criteria. Provide technical leadership during deployment, migration, integration, troubleshooting, and production transition. • Required Technical Skills AI / ML Architecture • NVIDIA AI Enterprise, NGC, CUDA, NCCL, DCGM, GPU Operator and AI platform ecosystem. • PyTorch, TensorFlow, JAX and operational understanding of training and inference workloads. • GPU scheduling, multi-tenancy, MIG/vGPU, GPU utilization and workload placement. • LLM, generative AI, RAG, fine-tuning, model serving and inference architecture. GPU & AI Factory Infrastructure • NVIDIA A100/H100/H200/B200 or equivalent GPU platforms; familiarity with next-generation systems. • NVLink, NVSwitch, PCIe topology and multi-GPU performance architecture. • DGX/HGX/OEM GPU server architecture and lifecycle management. • AI Factory capacity planning, rack density, power, cooling, commissioning and lifecycle strategy. High-Performance Networking • 100/200/400/800G Ethernet, InfiniBand, RoCEv2 and RDMA, Netris • NVIDIA ConnectX/SuperNIC, Spectrum/Spectrum-X, Quantum and BlueField DPU technologies. • BGP, EVPN/VXLAN, VRF, ECMP, VLAN, MTU, PFC, ECN, QoS and congestion management. • GPU east-west traffic, GPUDirect RDMA and network performance troubleshooting. AI Storage & Data Architecture • Parallel file systems, object storage, NFS, NVMe/NVMe-oF and high-throughput data pipelines. • Ceph, WEKA, VAST, Dell PowerScale, Pure FlashBlade, NetApp or equivalent technologies. • Data lake/lakehouse concepts, metadata, lineage, data movement and data lifecycle. • GPUDirect Storage and storage/network performance optimization. AI Platform & Orchestration • Kubernetes, GPU Operator, container runtimes and Kubernetes GPU scheduling. • HPC or other equivalent workload schedulers. • Model serving/inference platforms and MLOps platform architecture. • API gateways, service discovery, secrets management and platform integration. Cloud & Hybrid Architecture • AWS and/or Azure AI infrastructure and security services. • Hybrid cloud connectivity, IAM, private networking, cloud storage and workload placement. • Cloud cost optimization, capacity planning and FinOps considerations for GPU workloads. Security & Governance • Zero Trust, network segmentation, IAM/RBAC, PAM and workload identity. • GPU, DPU, container, Kubernetes, firmware and supply-chain security. • Encryption at rest/in transit, secrets management, audit logging and compliance controls. • AI-specific risks including data/model protection, tenant isolation and secure model access. Observability & Reliability • Prometheus, Grafana, OpenTelemetry, NVIDIA DCGM and infrastructure telemetry. • Monitoring across GPU, CPU, memory, network, storage, power and thermal domains. • High availability, backup/restore, disaster recovery, business continuity and failure-domain design. • Performance engineering, bottleneck analysis, SLO/SLA design and capacity forecasting. Architecture Deliverables • AI Factory reference architecture and solution blueprints • High-Level Design (HLD) and Low-Level Design (LLD) • Network, compute, GPU and storage architecture diagrams • Capacity, performance and scalability models • Technology evaluation and vendor comparison documents • Security architecture and threat-model inputs • Bill of Materials (BOM) and infrastructure sizing • Migration/deployment strategy and implementation roadmap • Operational readiness checklist, runbooks and acceptance criteria Experience & Qualifications • 10+ years of infrastructure, cloud, enterprise architecture or solution architecture experience, with significant AI/GPU infrastructure exposure. • Proven experience designing large-scale enterprise platforms and translating business requirements into technical architectures. • Hands-on understanding of physical infrastructure, GPU systems, networking, storage and Linux platforms. • Bachelor's degree in Computer Science, Engineering, Information Technology or related field preferred. Preferred Certifications • NVIDIA certifications or equivalent GPU/AI infrastructure credentials • AWS Solutions Architect / Azure Solutions Architect • TOGAF or equivalent enterprise architecture certification • CCNP/CCIE or equivalent networking certification • CISSP or equivalent security certification • Kubernetes certifications such as CKA/CKAD • Red Hat / Linux certifications

Требования: — Опыт в креативной индустрии — Владение Adobe Suite — Владение Microsoft PowerPoint О компании: Playground Games — разработчик игр для Xbox Game Studios, команда из 201-500 человек, в компании работают русскоязычные сотрудники.

Location: India Job Overview: As an Azure Stack HCI Engineer, you will be responsible for managing and supporting the organization's hybrid cloud infrastructure based on Microsoft Azure Stack HCI. This role requires deep technical knowledge of Azure Stack HCI, hyper-converged infrastructure, and related Microsoft technologies. The ideal candidate will have experience with a variety of Microsoft technologies, including Windows Server, Hyper-V, and Storage Spaces Direct. They will also have experience with HCI architecture and design tools and technologies, as well as with Azure Stack HCI troubleshooting and problem resolution. The ability to work independently and as part of a team is essential, as is the ability to meet deadlines and work under pressure. The Microsoft Azure Stack HCI Engineer will report to the Infrastructure Manager and will work closely with other members of the IT team, as well as with stakeholders from other departments. Responsibilities: Infrastructure Management & Support: Manage, maintain, and support the Azure Stack HCI infrastructure, including the creation, deployment, and administration of virtual machines, storage, and networking components. System Performance Monitoring & Troubleshooting: Monitor the performance of the Azure Stack HCI infrastructure and perform troubleshooting and resolution for any system issues. Security & Compliance: Ensure that all Azure Stack HCI deployments meet the organization's security standards and compliance requirements. Implement and manage security measures such as access controls, firewalls, and encryption. Backup & Disaster Recovery: Manage backup and disaster recovery processes for the Azure Stack HCI infrastructure. Test and verify backup and recovery procedures regularly. Documentation: Document system configurations, procedures, and changes. Maintain records of system performance, issues, and resolutions. Consultation & Collaboration: Provide technical consultation and advice to other IT teams, business units, and management. Collaborate with other teams on infrastructure projects and initiatives. Requirements: Education: Bachelor's degree in Computer Science, Information Technology, or related field. Microsoft Certified: Azure Solutions Architect Expert or Azure Stack HCI certifications are highly desirable. Experience: At least 3-5 years of experience in cloud or infrastructure engineering, with a focus on Azure Stack HCI or similar technologies. Technical Skills: In-depth understanding of Azure Stack HCI, hyper-converged infrastructure, virtualization, storage, and networking. Familiarity with Windows Server, Azure services, and related Microsoft technologies. Soft Skills: Excellent problem-solving, communication, and teamwork skills. Ability to manage multiple tasks and work under pressure. Other: Willingness to stay updated with the latest developments in Azure Stack HCI and related technologies. Additional Responsibilities: Participate in the development and implementation of Azure Stack HCI security policies and procedures. Monitor Azure Stack HCI performance and identify potential problems. Perform regular backups of Azure Stack HCI data. Respond to Azure Stack HCI outages and incidents. Skills and Abilities: Proficient in Microsoft Windows Server, Hyper-V, and Storage Spaces Direct. Experience with HCI architecture and design tools and technologies. Experience with Azure Stack HCI troubleshooting and problem resolution. Excellent written and verbal communication skills. Ability to work independently and as part of a team. Ability to meet deadlines and work under pressure. Disclaimer: This job description is not an exhaustive list of the skills, efforts, duties, and responsibilities associated with the position. The company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. Note: The actual duties and responsibilities may vary depending on the department's needs and the evolution of the role.

Задачи: — настройка и ведение рекламы ВК; — привлечение целевых заявок; — разработка и тестирование рекламных связок; — аналитика и оптимизация рекламы; — работа с готовыми материалами от контент-менеджера; — регулярная отчётность по результатам. Требования: — желателен опыт в строительной тематике, но рассматриваются специалисты с опытом в смежных тематиках. Особенности взаимодействия: — коммуникация с клиентом через посредника, который собирает информацию и задачи, передаёт специалистам и обратно клиенту вопросы и результаты.

Location: India Job Overview We are looking for an experienced Network Security Engineer to design, implement, monitor, and support enterprise security infrastructure across on-premises, cloud, and hybrid environments. The ideal candidate should possess strong expertise in next-generation firewalls, SIEM platforms, cloud security, Zero Trust architecture, and modern cybersecurity operations. The role requires hands-on experience with technologies such as Fortinet, SonicWall, Palo Alto Networks, SIEM solutions, SASE, SD-WAN, endpoint security, and threat detection platforms. Key Responsibilities Design, deploy, and manage enterprise network security solutions Configure and administer Fortinet, SonicWall, and Palo Alto firewalls Implement and maintain VPNs, IPS/IDS, web filtering, NAT, ACLs, and segmentation policies Monitor security events using SIEM, XDR, and SOC monitoring platforms Investigate security incidents, perform threat analysis, and support incident response activities Manage firewall policies, security rules, and compliance controls Implement Zero Trust Network Access (ZTNA) and identity-based security controls Support cloud security initiatives across AWS, Azure, and hybrid infrastructure Configure and support SD-WAN and Secure Access Service Edge (SASE) solutions Conduct vulnerability assessments and remediation activities Collaborate with infrastructure, cloud, and application teams to secure enterprise environments Maintain security documentation, diagrams, SOPs, and audit records Participate in on-call rotations and critical incident handling GPU East-West and North-South traffic control and security AI networking and security integration expertise Understanding of AI infrastructure design and reference architectures 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 Compliance with industry frameworks and standards such as NIST, ISO, etc. Required Skills & Technologies Firewall & Network Security Fortinet FortiGate SonicWall Palo Alto Networks Check Point (preferred) Cisco Firepower / ASA VPN Technologies (IPSec / SSL VPN) IDS/IPS Web Application Firewall (WAF) NAC (Network Access Control) Modern Security Technologies Zero Trust Architecture (ZTA) ZTNA (Zero Trust Network Access) SASE (Secure Access Service Edge) SD-WAN Security SSE (Security Service Edge) CASB (Cloud Access Security Broker) Micro-segmentation Secure Remote Access Solutions SIEM, SOC & Threat Detection Experience with one or more: Splunk QRadar Microsoft Sentinel LogRhythm ArcSight Elastic SIEM Knowledge of: SOC operations Threat hunting Log correlation MITRE ATT&CK framework Incident response Threat intelligence integration Cloud & Infrastructure Security AWS Security Microsoft Azure Security Hybrid cloud networking Cloud firewall management Security Groups / NSGs Identity & Access Management (IAM) Endpoint & Advanced Security EDR/XDR platforms CrowdStrike Microsoft Defender SentinelOne Endpoint hardening DLP (Data Loss Prevention) Email security solutions Networking Fundamentals Strong understanding of: TCP/IP Routing & Switching VLANs BGP / OSPF DNS / DHCP Load Balancing Network troubleshooting Automation & Scripting (Preferred) Python PowerShell Bash scripting Security automation SOAR platforms Preferred Certifications Fortinet NSE / FCP Palo Alto PCNSA / PCNSE CCNP Security CISSP CEH CompTIA Security+ Microsoft SC Certifications AWS Security Specialty Education Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, or related field preferred. Soft Skills Strong analytical and troubleshooting skills Ability to work in high-pressure environments Excellent communication and stakeholder management Strong documentation and reporting abilities Proactive mindset with focus on continuous improvement

Location: Malaysia Job Overview We are looking for an experienced Network Security Engineer to design, implement, monitor, and support enterprise security infrastructure across on-premises, cloud, and hybrid environments. The ideal candidate should possess strong expertise in next-generation firewalls, SIEM platforms, cloud security, Zero Trust architecture, and modern cybersecurity operations. The role requires hands-on experience with technologies such as Fortinet, SonicWall, Palo Alto Networks, SIEM solutions, SASE, SD-WAN, endpoint security, and threat detection platforms. Key Responsibilities Design, deploy, and manage enterprise network security solutions Configure and administer Fortinet, SonicWall, and Palo Alto firewalls Implement and maintain VPNs, IPS/IDS, web filtering, NAT, ACLs, and segmentation policies Monitor security events using SIEM, XDR, and SOC monitoring platforms Investigate security incidents, perform threat analysis, and support incident response activities Manage firewall policies, security rules, and compliance controls Implement Zero Trust Network Access (ZTNA) and identity-based security controls Support cloud security initiatives across AWS, Azure, and hybrid infrastructure Configure and support SD-WAN and Secure Access Service Edge (SASE) solutions Conduct vulnerability assessments and remediation activities Collaborate with infrastructure, cloud, and application teams to secure enterprise environments Maintain security documentation, diagrams, SOPs, and audit records Participate in on-call rotations and critical incident handling GPU East-West and North-South traffic control and security AI networking and security integration expertise Understanding of AI infrastructure design and reference architectures 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 Compliance with industry frameworks and standards such as NIST, ISO, etc. Required Skills & Technologies Firewall & Network Security Fortinet FortiGate SonicWall Palo Alto Networks Check Point (preferred) Cisco Firepower / ASA VPN Technologies (IPSec / SSL VPN) IDS/IPS Web Application Firewall (WAF) NAC (Network Access Control) Modern Security Technologies Zero Trust Architecture (ZTA) ZTNA (Zero Trust Network Access) SASE (Secure Access Service Edge) SD-WAN Security SSE (Security Service Edge) CASB (Cloud Access Security Broker) Micro-segmentation Secure Remote Access Solutions SIEM, SOC & Threat Detection Experience with one or more: Splunk QRadar Microsoft Sentinel LogRhythm ArcSight Elastic SIEM Knowledge of: SOC operations Threat hunting Log correlation MITRE ATT&CK framework Incident response Threat intelligence integration Cloud & Infrastructure Security AWS Security Microsoft Azure Security Hybrid cloud networking Cloud firewall management Security Groups / NSGs Identity & Access Management (IAM) Endpoint & Advanced Security EDR/XDR platforms CrowdStrike Microsoft Defender SentinelOne Endpoint hardening DLP (Data Loss Prevention) Email security solutions Networking Fundamentals Strong understanding of: TCP/IP Routing & Switching VLANs BGP / OSPF DNS / DHCP Load Balancing Network troubleshooting Automation & Scripting (Preferred) Python PowerShell Bash scripting Security automation SOAR platforms Preferred Certifications Fortinet NSE / FCP Palo Alto PCNSA / PCNSE CCNP Security CISSP CEH CompTIA Security+ Microsoft SC Certifications AWS Security Specialty Education Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, or related field preferred. Soft Skills Strong analytical and troubleshooting skills Ability to work in high-pressure environments Excellent communication and stakeholder management Strong documentation and reporting abilities Proactive mindset with focus on continuous improvement

Location: Singapore Job Overview We are looking for an experienced Network Security Engineer to design, implement, monitor, and support enterprise security infrastructure across on-premises, cloud, and hybrid environments. The ideal candidate should possess strong expertise in next-generation firewalls, SIEM platforms, cloud security, Zero Trust architecture, and modern cybersecurity operations. The role requires hands-on experience with technologies such as Fortinet, SonicWall, Palo Alto Networks, SIEM solutions, SASE, SD-WAN, endpoint security, and threat detection platforms. Key Responsibilities Design, deploy, and manage enterprise network security solutions Configure and administer Fortinet, SonicWall, and Palo Alto firewalls Implement and maintain VPNs, IPS/IDS, web filtering, NAT, ACLs, and segmentation policies Monitor security events using SIEM, XDR, and SOC monitoring platforms Investigate security incidents, perform threat analysis, and support incident response activities Manage firewall policies, security rules, and compliance controls Implement Zero Trust Network Access (ZTNA) and identity-based security controls Support cloud security initiatives across AWS, Azure, and hybrid infrastructure Configure and support SD-WAN and Secure Access Service Edge (SASE) solutions Conduct vulnerability assessments and remediation activities Collaborate with infrastructure, cloud, and application teams to secure enterprise environments Maintain security documentation, diagrams, SOPs, and audit records Participate in on-call rotations and critical incident handling GPU East-West and North-South traffic control and security AI networking and security integration expertise Understanding of AI infrastructure design and reference architectures 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 Compliance with industry frameworks and standards such as NIST, ISO, etc. Required Skills & Technologies Firewall & Network Security Fortinet FortiGate SonicWall Palo Alto Networks Check Point (preferred) Cisco Firepower / ASA VPN Technologies (IPSec / SSL VPN) IDS/IPS Web Application Firewall (WAF) NAC (Network Access Control) Modern Security Technologies Zero Trust Architecture (ZTA) ZTNA (Zero Trust Network Access) SASE (Secure Access Service Edge) SD-WAN Security SSE (Security Service Edge) CASB (Cloud Access Security Broker) Micro-segmentation Secure Remote Access Solutions SIEM, SOC & Threat Detection Experience with one or more: Splunk QRadar Microsoft Sentinel LogRhythm ArcSight Elastic SIEM Knowledge of: SOC operations Threat hunting Log correlation MITRE ATT&CK framework Incident response Threat intelligence integration Cloud & Infrastructure Security AWS Security Microsoft Azure Security Hybrid cloud networking Cloud firewall management Security Groups / NSGs Identity & Access Management (IAM) Endpoint & Advanced Security EDR/XDR platforms CrowdStrike Microsoft Defender SentinelOne Endpoint hardening DLP (Data Loss Prevention) Email security solutions Networking Fundamentals Strong understanding of: TCP/IP Routing & Switching VLANs BGP / OSPF DNS / DHCP Load Balancing Network troubleshooting Automation & Scripting (Preferred) Python PowerShell Bash scripting Security automation SOAR platforms Preferred Certifications Fortinet NSE / FCP Palo Alto PCNSA / PCNSE CCNP Security CISSP CEH CompTIA Security+ Microsoft SC Certifications AWS Security Specialty Education Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, or related field preferred. Soft Skills Strong analytical and troubleshooting skills Ability to work in high-pressure environments Excellent communication and stakeholder management Strong documentation and reporting abilities Proactive mindset with focus on continuous improvement

Location: United States Job Overview We are looking for an experienced Network Security Engineer to design, implement, monitor, and support enterprise security infrastructure across on-premises, cloud, and hybrid environments. The ideal candidate should possess strong expertise in next-generation firewalls, SIEM platforms, cloud security, Zero Trust architecture, and modern cybersecurity operations. The role requires hands-on experience with technologies such as Fortinet, SonicWall, Palo Alto Networks, SIEM solutions, SASE, SD-WAN, endpoint security, and threat detection platforms. Key Responsibilities Design, deploy, and manage enterprise network security solutions Configure and administer Fortinet, SonicWall, and Palo Alto firewalls Implement and maintain VPNs, IPS/IDS, web filtering, NAT, ACLs, and segmentation policies Monitor security events using SIEM, XDR, and SOC monitoring platforms Investigate security incidents, perform threat analysis, and support incident response activities Manage firewall policies, security rules, and compliance controls Implement Zero Trust Network Access (ZTNA) and identity-based security controls Support cloud security initiatives across AWS, Azure, and hybrid infrastructure Configure and support SD-WAN and Secure Access Service Edge (SASE) solutions Conduct vulnerability assessments and remediation activities Collaborate with infrastructure, cloud, and application teams to secure enterprise environments Maintain security documentation, diagrams, SOPs, and audit records Participate in on-call rotations and critical incident handling GPU East-West and North-South traffic control and security AI networking and security integration expertise Understanding of AI infrastructure design and reference architectures 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 Compliance with industry frameworks and standards such as NIST, ISO, etc. Required Skills & Technologies Firewall & Network Security Fortinet FortiGate SonicWall Palo Alto Networks Check Point (preferred) Cisco Firepower / ASA VPN Technologies (IPSec / SSL VPN) IDS/IPS Web Application Firewall (WAF) NAC (Network Access Control) Modern Security Technologies Zero Trust Architecture (ZTA) ZTNA (Zero Trust Network Access) SASE (Secure Access Service Edge) SD-WAN Security SSE (Security Service Edge) CASB (Cloud Access Security Broker) Micro-segmentation Secure Remote Access Solutions SIEM, SOC & Threat Detection Experience with one or more: Splunk QRadar Microsoft Sentinel LogRhythm ArcSight Elastic SIEM Knowledge of: SOC operations Threat hunting Log correlation MITRE ATT&CK framework Incident response Threat intelligence integration Cloud & Infrastructure Security AWS Security Microsoft Azure Security Hybrid cloud networking Cloud firewall management Security Groups / NSGs Identity & Access Management (IAM) Endpoint & Advanced Security EDR/XDR platforms CrowdStrike Microsoft Defender SentinelOne Endpoint hardening DLP (Data Loss Prevention) Email security solutions Networking Fundamentals Strong understanding of: TCP/IP Routing & Switching VLANs BGP / OSPF DNS / DHCP Load Balancing Network troubleshooting Automation & Scripting (Preferred) Python PowerShell Bash scripting Security automation SOAR platforms Preferred Certifications Fortinet NSE / FCP Palo Alto PCNSA / PCNSE CCNP Security CISSP CEH CompTIA Security+ Microsoft SC Certifications AWS Security Specialty Education Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, or related field preferred. Soft Skills Strong analytical and troubleshooting skills Ability to work in high-pressure environments Excellent communication and stakeholder management Strong documentation and reporting abilities Proactive mindset with focus on continuous improvement

Location: Serbia Job Overview We are looking for an experienced Network Security Engineer to design, implement, monitor, and support enterprise security infrastructure across on-premises, cloud, and hybrid environments. The ideal candidate should possess strong expertise in next-generation firewalls, SIEM platforms, cloud security, Zero Trust architecture, and modern cybersecurity operations. The role requires hands-on experience with technologies such as Fortinet, SonicWall, Palo Alto Networks, SIEM solutions, SASE, SD-WAN, endpoint security, and threat detection platforms. Key Responsibilities Design, deploy, and manage enterprise network security solutions Configure and administer Fortinet, SonicWall, and Palo Alto firewalls Implement and maintain VPNs, IPS/IDS, web filtering, NAT, ACLs, and segmentation policies Monitor security events using SIEM, XDR, and SOC monitoring platforms Investigate security incidents, perform threat analysis, and support incident response activities Manage firewall policies, security rules, and compliance controls Implement Zero Trust Network Access (ZTNA) and identity-based security controls Support cloud security initiatives across AWS, Azure, and hybrid infrastructure Configure and support SD-WAN and Secure Access Service Edge (SASE) solutions Conduct vulnerability assessments and remediation activities Collaborate with infrastructure, cloud, and application teams to secure enterprise environments Maintain security documentation, diagrams, SOPs, and audit records Participate in on-call rotations and critical incident handling GPU East-West and North-South traffic control and security AI networking and security integration expertise Understanding of AI infrastructure design and reference architectures 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 Compliance with industry frameworks and standards such as NIST, ISO, etc. Required Skills & Technologies Firewall & Network Security Fortinet FortiGate SonicWall Palo Alto Networks Check Point (preferred) Cisco Firepower / ASA VPN Technologies (IPSec / SSL VPN) IDS/IPS Web Application Firewall (WAF) NAC (Network Access Control) Modern Security Technologies Zero Trust Architecture (ZTA) ZTNA (Zero Trust Network Access) SASE (Secure Access Service Edge) SD-WAN Security SSE (Security Service Edge) CASB (Cloud Access Security Broker) Micro-segmentation Secure Remote Access Solutions SIEM, SOC & Threat Detection Experience with one or more: Splunk QRadar Microsoft Sentinel LogRhythm ArcSight Elastic SIEM Knowledge of: SOC operations Threat hunting Log correlation MITRE ATT&CK framework Incident response Threat intelligence integration Cloud & Infrastructure Security AWS Security Microsoft Azure Security Hybrid cloud networking Cloud firewall management Security Groups / NSGs Identity & Access Management (IAM) Endpoint & Advanced Security EDR/XDR platforms CrowdStrike Microsoft Defender SentinelOne Endpoint hardening DLP (Data Loss Prevention) Email security solutions Networking Fundamentals Strong understanding of: TCP/IP Routing & Switching VLANs BGP / OSPF DNS / DHCP Load Balancing Network troubleshooting Automation & Scripting (Preferred) Python PowerShell Bash scripting Security automation SOAR platforms Preferred Certifications Fortinet NSE / FCP Palo Alto PCNSA / PCNSE CCNP Security CISSP CEH CompTIA Security+ Microsoft SC Certifications AWS Security Specialty Education Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, or related field preferred. Soft Skills Strong analytical and troubleshooting skills Ability to work in high-pressure environments Excellent communication and stakeholder management Strong documentation and reporting abilities Proactive mindset with focus on continuous improvement

Location: Romania Job Overview We are looking for an experienced Network Security Engineer to design, implement, monitor, and support enterprise security infrastructure across on-premises, cloud, and hybrid environments. The ideal candidate should possess strong expertise in next-generation firewalls, SIEM platforms, cloud security, Zero Trust architecture, and modern cybersecurity operations. The role requires hands-on experience with technologies such as Fortinet, SonicWall, Palo Alto Networks, SIEM solutions, SASE, SD-WAN, endpoint security, and threat detection platforms. Key Responsibilities Design, deploy, and manage enterprise network security solutions Configure and administer Fortinet, SonicWall, and Palo Alto firewalls Implement and maintain VPNs, IPS/IDS, web filtering, NAT, ACLs, and segmentation policies Monitor security events using SIEM, XDR, and SOC monitoring platforms Investigate security incidents, perform threat analysis, and support incident response activities Manage firewall policies, security rules, and compliance controls Implement Zero Trust Network Access (ZTNA) and identity-based security controls Support cloud security initiatives across AWS, Azure, and hybrid infrastructure Configure and support SD-WAN and Secure Access Service Edge (SASE) solutions Conduct vulnerability assessments and remediation activities Collaborate with infrastructure, cloud, and application teams to secure enterprise environments Maintain security documentation, diagrams, SOPs, and audit records Participate in on-call rotations and critical incident handling GPU East-West and North-South traffic control and security AI networking and security integration expertise Understanding of AI infrastructure design and reference architectures 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 Compliance with industry frameworks and standards such as NIST, ISO, etc. Required Skills & Technologies Firewall & Network Security Fortinet FortiGate SonicWall Palo Alto Networks Check Point (preferred) Cisco Firepower / ASA VPN Technologies (IPSec / SSL VPN) IDS/IPS Web Application Firewall (WAF) NAC (Network Access Control) Modern Security Technologies Zero Trust Architecture (ZTA) ZTNA (Zero Trust Network Access) SASE (Secure Access Service Edge) SD-WAN Security SSE (Security Service Edge) CASB (Cloud Access Security Broker) Micro-segmentation Secure Remote Access Solutions SIEM, SOC & Threat Detection Experience with one or more: Splunk QRadar Microsoft Sentinel LogRhythm ArcSight Elastic SIEM Knowledge of: SOC operations Threat hunting Log correlation MITRE ATT&CK framework Incident response Threat intelligence integration Cloud & Infrastructure Security AWS Security Microsoft Azure Security Hybrid cloud networking Cloud firewall management Security Groups / NSGs Identity & Access Management (IAM) Endpoint & Advanced Security EDR/XDR platforms CrowdStrike Microsoft Defender SentinelOne Endpoint hardening DLP (Data Loss Prevention) Email security solutions Networking Fundamentals Strong understanding of: TCP/IP Routing & Switching VLANs BGP / OSPF DNS / DHCP Load Balancing Network troubleshooting Automation & Scripting (Preferred) Python PowerShell Bash scripting Security automation SOAR platforms Preferred Certifications Fortinet NSE / FCP Palo Alto PCNSA / PCNSE CCNP Security CISSP CEH CompTIA Security+ Microsoft SC Certifications AWS Security Specialty Education Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, or related field preferred. Soft Skills Strong analytical and troubleshooting skills Ability to work in high-pressure environments Excellent communication and stakeholder management Strong documentation and reporting abilities Proactive mindset with focus on continuous improvement

Location: Poland Job Overview We are looking for an experienced Network Security Engineer to design, implement, monitor, and support enterprise security infrastructure across on-premises, cloud, and hybrid environments. The ideal candidate should possess strong expertise in next-generation firewalls, SIEM platforms, cloud security, Zero Trust architecture, and modern cybersecurity operations. The role requires hands-on experience with technologies such as Fortinet, SonicWall, Palo Alto Networks, SIEM solutions, SASE, SD-WAN, endpoint security, and threat detection platforms. Key Responsibilities Design, deploy, and manage enterprise network security solutions Configure and administer Fortinet, SonicWall, and Palo Alto firewalls Implement and maintain VPNs, IPS/IDS, web filtering, NAT, ACLs, and segmentation policies Monitor security events using SIEM, XDR, and SOC monitoring platforms Investigate security incidents, perform threat analysis, and support incident response activities Manage firewall policies, security rules, and compliance controls Implement Zero Trust Network Access (ZTNA) and identity-based security controls Support cloud security initiatives across AWS, Azure, and hybrid infrastructure Configure and support SD-WAN and Secure Access Service Edge (SASE) solutions Conduct vulnerability assessments and remediation activities Collaborate with infrastructure, cloud, and application teams to secure enterprise environments Maintain security documentation, diagrams, SOPs, and audit records Participate in on-call rotations and critical incident handling GPU East-West and North-South traffic control and security AI networking and security integration expertise Understanding of AI infrastructure design and reference architectures 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 Compliance with industry frameworks and standards such as NIST, ISO, etc. Required Skills & Technologies Firewall & Network Security Fortinet FortiGate SonicWall Palo Alto Networks Check Point (preferred) Cisco Firepower / ASA VPN Technologies (IPSec / SSL VPN) IDS/IPS Web Application Firewall (WAF) NAC (Network Access Control) Modern Security Technologies Zero Trust Architecture (ZTA) ZTNA (Zero Trust Network Access) SASE (Secure Access Service Edge) SD-WAN Security SSE (Security Service Edge) CASB (Cloud Access Security Broker) Micro-segmentation Secure Remote Access Solutions SIEM, SOC & Threat Detection Experience with one or more: Splunk QRadar Microsoft Sentinel LogRhythm ArcSight Elastic SIEM Knowledge of: SOC operations Threat hunting Log correlation MITRE ATT&CK framework Incident response Threat intelligence integration Cloud & Infrastructure Security AWS Security Microsoft Azure Security Hybrid cloud networking Cloud firewall management Security Groups / NSGs Identity & Access Management (IAM) Endpoint & Advanced Security EDR/XDR platforms CrowdStrike Microsoft Defender SentinelOne Endpoint hardening DLP (Data Loss Prevention) Email security solutions Networking Fundamentals Strong understanding of: TCP/IP Routing & Switching VLANs BGP / OSPF DNS / DHCP Load Balancing Network troubleshooting Automation & Scripting (Preferred) Python PowerShell Bash scripting Security automation SOAR platforms Preferred Certifications Fortinet NSE / FCP Palo Alto PCNSA / PCNSE CCNP Security CISSP CEH CompTIA Security+ Microsoft SC Certifications AWS Security Specialty Education Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, or related field preferred. Soft Skills Strong analytical and troubleshooting skills Ability to work in high-pressure environments Excellent communication and stakeholder management Strong documentation and reporting abilities Proactive mindset with focus on continuous improvement

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.

Our Mission At UCM Practice Growth Systems, we're a team on a mission. Dedicated to the glory of God, we aim to bring hope and healing to sick and suffering people through our partnership with upper cervical chiropractors. Your Role in Our Mission We are looking for a passionate, energetic, people-oriented person to serve as a patient booking specialist (New Patient Appointment Conversion Specialist). Performance Bonuses for Booked Appointments Breakdown Monthly Conversion Bonus*: 50-54% = $100 55–59% = $200 60–64% = $400 65–69% = $700 70%+ = $1,000 PLUS $5 per booked appointment *Show rate must remain above 75% to qualify for bonuses. The mission of the Patient Booking Specialist is to convert inbound leads into scheduled appointments in the client’s calendar quickly, consistently, and at a high conversion rate, ensuring every lead is fully pursued and every client has the maximum opportunity to help more patients. Team Member Success in the Patient Booking Specialist role is defined by consistently converting 60–70% of assigned leads into scheduled appointments placed directly into client calendars while responding rapidly, executing disciplined follow-up, and maintaining a show rate above 75%. A successful specialist fully owns their assigned clients’ booking performance, manages their workload efficiently as capacity grows, and reliably produces a high volume of quality booked appointments that directly improve client results, retention, and trust in the UCM system. If you love connecting with people who are sick and suffering and helping them find hope and healing—this role may be perfect for you. Who We Are Looking For - High energy personality (energetic, relational, outgoing, warm) - Hungry, driven, and eager to grow within a results-oriented & impactful team - Colombia-based preferably in the Central or Eastern time zone - Experience in sales, appointment setting, & lead conversion - Positive experience with Chiropractic (UC experience is a strong plus) - Strong English communication skills, reliability, and ability to represent our brand professionally Key Responsibilities - Respond to new patient inquiries quickly by phone, text, and email through our GHL CRM, ensuring every lead is contacted promptly and professionally. - Convert inbound leads into scheduled appointments directly in the client’s calendar using a proven communication process and structured follow-up system. - Execute disciplined follow-up, including multiple call attempts and text outreach, to ensure every lead is fully pursued. - Maintain accurate records in the CRM, including call outcomes, notes, and lead status, so every lead is properly tracked. - Provide weekly performance updates summarizing leads received, appointments booked, and follow-up progress for assigned clients. - Manage multiple client accounts simultaneously while maintaining strong performance, attention to detail, and responsiveness. - Follow established scripts, systems, and best practices while continuously improving communication and booking effectiveness. - Take full ownership of booking performance for assigned clients, helping them maximize the number of patients they are able to serve. - Bring energy, enthusiasm, and relational strength to every interaction Compensation & Benefits - $18,000 base annual starting salary - Performance bonus on all booked appointments ($5/Booked Appointment) + $100-$1000/month bonus if conversion is over 50% - Upper Cervical Chiropractic Care 100% reimbursed after 90 days of employment - Major Medical Policy Health Insurance. We pay 50% of a Major Medical Policy Monthly Premiums after 90 days of employment. - Various Professional & Personal Development Training Opportunities immediately available - Paid time off after a 90-day probationary period - Complimentary Attendance in Financial Peace University after 90 days of employment - Monthly MRR Performance Bonuses after 365 Days of Employment - Opportunities for advancement in leadership and management - Work within a Christ-centered, mission-driven organization Hours: Full-time, remote Pay: $1500/mo USD + $5 per booked appointment + up to $1000/month bonus Job Type: Full-time Expected hours: 40 per week (10 AM to 7 PM Eastern Time) Language: English (Required)

Location: United States Workplace: Remote Recognized on the 2025 Forbes Cloud 100 list https://www.forbes.com/companies/clickhouse/?list=cloud100, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 4,000 customers and $250M ARR https://clickhouse.com/blog/clickhouse-tops-250m-arr-and-4000-customers, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads.   The company's sustained, accelerating momentum was recently validated by a $400M Series D financing round https://clickhouse.com/blog/clickhouse-raises-400-million-series-d-acquires-langfuse-launches-postgres. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.   We're on a mission to transform how companies use data. Come be a part of our journey! We're looking for a Senior Revenue Accountant to join our revenue accounting team. You will report to the Director of Order to Cash and Revenue Accounting and be responsible for executing the month-end close cycle for revenue recognition, including reconciliations for revenue and deferred revenue, reviewing customer contracts, and preparing financial reporting metrics such as RPO. You'll work cross-functionally with AR & Billing, Legal, Sales Operations, FP&A, and Data teams to build scalable, automated revenue processes. YOU WILL - Own the end-to-end monthly revenue close, preparing journal entries, reconciliations, and flux analyses for revenue, deferred revenue, and contract asset balances. - Prepare the deferred revenue waterfall and financial reporting metrics. - Reconcile consumption data to billing and revenue; use SQL/data queries and AI tools to assist and automate the work. - Review customer contracts and order forms under ASC 606, and prepare accounting checklist for complex or non-standard deals. - Prepare estimate calculations, including the standalone selling price (SSP) analyses. - Support new product introductions (NPI), new pricing models, SKU launches, and system upgrades or implementations. - Support external audits and manage PBC requests related to revenue. - Collaborate cross-functionally with AR & Billing, Legal, Sales Operations, FP&A, and Data teams to improve the quote-to-revenue workflow. YOU BRING - 3+ years of progressive accounting experience with a focus on revenue accounting, ideally at a SaaS or consumption-based technology company. - Strong working knowledge of ASC 606, including contract review, SSP, and revenue disclosures (deferred revenue, RPO). - Experience with NetSuite, Stripe, and Salesforce, and familiarity with the integrations and data flows among these systems; experience with cloud marketplace billing (AWS, GCP, Azure) is a plus. - Comfort working with large data sets; SQL or similar query skills, and an interest in using AI and automation to streamline processes. - Strong analytical and problem-solving skills, with the ability to interpret complex contracts and data sets. - A quick learner with excellent attention to detail, organization, and communication skills; able to collaborate cross-functionally and explain revenue matters clearly. - CPA (or equivalent) and/or Big Four public accounting experience preferred. - Experience supporting audits, internal controls, and SOX readiness preferred. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.