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Location: Dubai, United Arab Emirates We are looking for a skilled System Administrator to manage, maintain, and troubleshoot the organization’s IT infrastructure. The role involves administering servers, networks, user accounts, security systems, and IT services while ensuring reliable and secure day-to-day operations. Key Responsibilities Install, configure, maintain, and monitor Windows/Linux servers and IT systems. Manage user accounts, permissions, Active Directory, Microsoft 365, and access controls. Monitor network and system performance and troubleshoot technical issues. Perform system backups, recovery procedures, and disaster-recovery activities. Manage hardware, software, printers, and other IT infrastructure. Apply security patches, updates, antivirus protection, and system hardening. Maintain IT documentation, configurations, and asset records. Respond to help-desk escalations and provide technical support to users. Requirements Bachelor’s degree or diploma in Information Technology, Computer Science, or a related field. 2–5 years of experience in system administration or IT infrastructure. Experience with Windows Server and/or Linux. Strong knowledge of Active Directory, DNS, DHCP, TCP/IP, and networking. Experience with Microsoft 365 and cloud platforms such as Azure or AWS is an advantage. Knowledge of virtualization technologies such as VMware or Hyper-V. Familiarity with backup, monitoring, cybersecurity, and endpoint-management solutions. Strong troubleshooting and problem-solving skills. Relevant certifications such as Microsoft, CompTIA, Cisco, or VMware are an advantage. Benefits Competitive salary package Supportive and collaborative work environment Career growth and promotion opportunities

Задачи: — Развертывание и эксплуатация Bitcoin Core nodes. — Построение отказоустойчивой инфраструктуры для backend-сервисов. — Мониторинг состояния Bitcoin-нод и внутренних сервисов. — Настройка metrics, logging, alerting и dashboards. — Secrets management и безопасная работа с credentials. — Backup и disaster recovery. — Автоматизация deployment и infrastructure provisioning. — CI/CD. — Контроль доступов и сегментация инфраструктуры. — Анализ и устранение production-инцидентов. — Capacity planning и оптимизация ресурсов. — Совместная работа с security engineer над hardening инфраструктуры. Требования: — Опыт DevOps/SRE в production-системах. — Linux на уверенном уровне. — Docker и контейнерная инфраструктура. — Опыт с Kubernetes или аналогичными orchestration-платформами. — Infrastructure as Code: Terraform, Ansible или аналоги. — Опыт построения monitoring/alerting систем. — Понимание сетей, firewall, TLS и управления доступом. — Практический опыт secrets management. — Опыт построения backup/recovery процессов. — Умение расследовать production-инциденты. Будет плюсом: — Опыт эксплуатации Bitcoin Core nodes. — Понимание Bitcoin P2P/networking. — Опыт эксплуатации blockchain infrastructure. — Опыт с security-sensitive или financial infrastructure. — Опыт защиты публичных сервисов от DDoS/DoS. — Опыт построения privacy-oriented инфраструктуры. Что важно в этой роли: Для проекта критична не только доступность сервисов, но и минимизация инфраструктурных рисков и утечек метаданных. Поэтому нам нужен инженер, который рассматривает security и privacy как часть инфраструктурной архитектуры, а не как отдельный этап после запуска.

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: 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

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.

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.

Location: London DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. DRW is seeking a Senior Database Engineer with focus in PostgreSQL and Oracle who will be responsible for implementation, support and maintenance of mission critical database environments.  The administration of these environments includes clustering, storage, securing, monitoring, performance tuning, troubleshooting, and disaster recovery.  This person will help manage and support current and future database and storage environments and initiatives, and proactively evaluate physical and logical design and architecture of the systems to keep up with the dynamic and growing business needs of DRW. Responsibilities: Proactively manage and optimize various database platforms and related OS environments Perform database performance and query tuning Implement and maintain production and non-production databases Perform database backups, restores, log shipping, mirroring and replication, etc. Work with system engineering team on database server installations, configurations, system performance tuning and capacity planning Collaborate with development teams on database design, implementation and usage optimization Respond to production and business-critical issues and needs Position Requirements: 5+ years of production PostgreSQL database engineering experience 5+ years of production Oracle database engineering experience desired Strong UNIX/Linux skills Experience with clustering, replication and mirroring a plus Strong knowledge of database performance tuning and configuration tools Strong technical problem-solving skills essential SAN knowledge a plus Proven ability to work in an agile, fast-paced environment, prioritize multiple tasks and projects, and efficiently handle pressure and stress Must be self-motivated, possess strong initiative, and be willing to take on new challenges Must demonstrate strong teamwork and collaboration skills Ability to learn new technologies quickly and adapt to different work environments Strong understanding of and the proven ability to comply with SDLC, source control and change management protocols Excellent verbal and written communication skills For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-SK1]

Location: Remote - 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 We are seeking an Senior Enterprise Applications Engineer to own the full lifecycle of our enterprise application ecosystem—from evaluation and procurement through deployment, optimization, renewal, and retirement. This role will manage and govern a diverse portfolio of critical platforms, including Slack , Zoom , Miro , Atlassian ( Jira , Confluence ), Microsoft 365 , DocuSign , and other collaboration, HR, finance, security, and AI-driven tools. This is a highly cross-functional role requiring strong ownership, hands-on SaaS expertise, and the ability to independently lead initiatives that improve reliability, scalability, automation, and operational excellence across the enterprise. This is a remote role in US. Your responsibilities will include: Own the end-to-end lifecycle management of enterprise SaaS applications, from evaluation and procurement to deployment, optimization, renewal, and retirement. Manage the enterprise application portfolio, including major platforms such as Slack, Zoom, Miro, Atlassian (Jira, Confluence), and other collaboration, HR, finance, and security tools. Lead SaaS procurement and vendor management, including contract negotiations, renewals, cost optimization, and license management. Drive SaaS testing, onboarding, and rollout, ensuring tools meet business, security, and compliance requirements. Partner closely with Security, Legal, Privacy, AI, SOX, and Compliance teams to conduct risk assessments, security reviews, and ongoing audits for all managed tools. Evaluate and assess AI-driven tools and platforms, stay current on market trends, and guide decision-making on AI adoption across the enterprise. Ensure security, compliance, and data integrity across all enterprise applications. Act as a key stakeholder in security and compliance reviews, including vendor risk assessments and AI governance. Support Disaster Recovery (DR) and Business Continuity Planning (BCP) from a SaaS perspective, including documentation and participating in reviews and audits when required. Proactively identify opportunities for process improvement, automation, and optimization across the SaaS ecosystem. Lead cross-functional initiatives and serve as a central point of coordination between technical and non-technical teams. Establish and maintain support, documentation, and governance processes to ensure reliability and scalability of enterprise platforms. Communicate clearly with stakeholders at all levels and drive initiatives independently from concept to execution. We expect you to have: 5+ years of experience in enterprise applications, SaaS portfolio management, or enterprise IT, with strong end-to-end ownership. Deep hands-on experience managing enterprise SaaS platforms such as Atlassian, Slack, Zoom, Microsoft 365, Miro, DocuSign, and similar tools. Strong understanding of the full SaaS lifecycle, including procurement, implementation, renewals, and decommissioning. Experience working closely with Security, Legal, Compliance, Privacy, and SOX teams. Solid knowledge of AI tools and platforms, including how to assess, evaluate, and govern them from a security and compliance perspective. Proven ability to manage vendor relationships, contracts, and licensing at scale. Excellent communication and collaboration skills, with the ability to work across multiple teams and influence stakeholders. A proactive, initiative-driven mindset with the ability to operate independently in a fast-paced environment. Strong organizational skills with the ability to manage multiple priorities and projects simultaneously. 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 $147,200 — $183,900 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.