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Senior System/Cloud Engineer

Cotonou, BJ💼 Full-time🗓 2026-07-17 → 2026-09-11

Core

Maintain, upgrade, and manage production and R&D infrastructure, including servers, networks, storage, and cloud environments for a global trade technology company.

Role type

Senior System/Cloud Engineer

Builds

High-performance, highly available, secure, and scalable enterprise storage solutions and infrastructure systems.

Domain

Global trade technology, IT infrastructure, cloud computing, and data center operations.

Deliverable

production ML models | infrastructure

Required skills

Linux (RedHat) and Windows administration, scripting/automation, networking (LAN/WAN, TCP/IP, VLANs), system security, data backup/recovery, cloud platforms (AWS/Azure/GCP), virtualization (VMware), Active Directory, containerization (Docker, Kubernetes), monitoring systems, configuration management (Ansible), AI-driven infrastructure optimization (AIOps), Model Context Protocol (MCP) integration.

Preferred skills

ELK stack, ITIL Foundation, cloud certifications, RedHat certification.

Technologies

RedHat Linux, Windows, Azure, AWS, GCP, VMware vSphere, SAN, NAS, HCI, Docker, Kubernetes, Ansible, Nagios, Zabbix, PagerDuty, ELK stack, MCP.

Responsibilities

Design, deploy, and manage Linux and Windows server technologies on-premise and in the cloud; Serve as subject matter expert on high-performance storage hardware solutions; Implement and manage enterprise storage solutions including SAN, NAS, and HCI; Design and manage systems in multi-datacenter environments including HA/DR design; Coordinate and perform system patching for ESXi hosts; Administer Active Directory including Group Policies, DNS, DHCP, ADFS, and Certificate Authority; Create and maintain SOPs and comprehensive technical documentation; Lead system architecture, design, maintenance, and OS upgrade projects; Design and implement process automation to optimize operations; Evaluate and apply AI-driven tools and techniques to optimize infrastructure operations; Explore and implement integrations using the Model Context Protocol (MCP) to connect AI/LLM-based tools with infrastructure systems.

Seniority

Senior, hands-on IC

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