About the job
About Share
At Share, we are revolutionizing the Internet Service Provider landscape in Africa by creating a cutting-edge, fully automated software-defined network. Our innovative approach integrates fiber, wireless technologies, and intelligent routing into a cohesive ecosystem that empowers ISPs to thrive.
About the Role
We are in search of a Lead Systems Engineer to take charge of the compute, storage, and platform infrastructure that powers our network. You will be instrumental in developing systems that facilitate automated provisioning, AI-enhanced network operations, and real-time telemetry across various markets. This role offers the opportunity to work on greenfield projects, where you will make critical decisions regarding database management, service deployment, and intelligent automation instrumentation. If you are passionate about leveraging AI for network optimization and eager to construct adaptive infrastructure, this position is tailored for you.
Key Responsibilities
- Platform Infrastructure
- Design and implement virtualization platforms (Proxmox, KVM) across distributed Points of Presence (PoPs).
- Oversee Kubernetes clusters for platform services and microservices deployment.
- Architect scalable storage systems (Ceph, ZFS, TrueNAS) for network telemetry and operational data.
- Develop and maintain AAA infrastructure (FreeRADIUS with Percona MySQL cluster) handling thousands of concurrent users.
- Implement essential services: DNS, NTP, syslog, DHCP, and IPAM.
- Database & Data Systems
- Deploy and fine-tune time-series databases (TimescaleDB, InfluxDB) for scalable network metrics.
- Design data pipelines that support AI/ML models for network automation.
- Establish backup, replication, and disaster recovery plans.
- Create unified data architectures connecting physical infrastructure (fiber, devices, PoPs) with logical network states (IP allocations, routing, VLANs) and operational telemetry into usable systems.
- Develop data pipelines that link network events to billing and SLA compensation processes.
- AI-Driven Network Operations
- Construct the telemetry and observability stack that empowers intelligent network operations, enabling proactive management and optimization.

