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We're looking for a Senior Systems Engineer who will own the compute, storage, and platform infrastructure that powers our network. You'll build the systems that enable automated provisioning, AI-driven network operations, and real-time telemetry across multiple markets. This is greenfield work, you'll make foundational decisions about how we run databases, deploy services, and instrument everything for intelligent automation. If you're excited about applying AI to network operations and want to build infrastructure that learns and adapts, this role is for you.
Job Responsibility:
Design and deploy virtualization platforms (Proxmox, KVM) across distributed PoPs
Manage Kubernetes clusters for platform services and microservices deployments
Architect storage systems (Ceph, ZFS, TrueNAS) for network telemetry, logs, and operational data
Build and maintain AAA infrastructure (FreeRADIUS backed by Percona MySQL cluster) supporting thousands of concurrent subscribers
Deploy and optimize time-series databases (TimescaleDB, InfluxDB) for network metrics at scale
Design data pipelines that feed AI/ML models for network automation
Implement backup, replication, and disaster recovery strategies
Design unified data architectures that bridge physical infrastructure (fiber, devices, PoPs), logical network state (IP allocations, routing, VLANs), and operational telemetry into coherent, queryable systems
Build data pipelines that correlate network events with billing and SLA compensation workflows
Build the telemetry and observability stack that enables intelligent network management
Instrument systems to generate training data for predictive maintenance and anomaly detection
Work with the team to deploy AI models that automate fault detection, capacity planning, and traffic optimization
Create feedback loops between network events and automated remediation systems
Develop infrastructure-as-code (Ansible, Terraform) for repeatable deployments across markets
Build alerting systems that reduce NOC workload through intelligent triage
Create tooling for automated provisioning of partner ISP infrastructure
Design internal tools as extensible platforms - monitoring, provisioning, and analytics systems you build will be productized and offered to partner ISPs on our backbone
Requirements:
5+ years in systems engineering or infrastructure roles
Strong Linux administration (we run Debian/Ubuntu)
Kubernetes administration—deploying, scaling, and troubleshooting clusters
Deep experience with PostgreSQL and/or MySQL—query optimization, replication, clustering, backup strategies
Virtualization and bare-metal provisioning at scale
Proficiency with network troubleshooting (tcpdump, Wireshark)
Infrastructure-as-code experience (Ansible, Terraform, or similar)
Scripting in Python or Bash
Nice to have:
Experience with time-series databases (TimescaleDB, InfluxDB, Prometheus long-term storage)
Experience with graph databases (Neo4j, AWS Neptune, or similar) for modeling network topology and dependencies
Familiarity with ML/AI infrastructure—model serving, feature stores, data pipelines
ISP or telecommunications background
IP Network and Routing Protocol (BGP, OSPF) fundamentals.
BGP/OSPF fundamentals and how routing integrates with systems infrastructure