System Architect

Description

Tel Aviv

DriveNets is redefining how hyperscalers and service providers build, automate, and operate next-generation networks. Our cloud-native Network Cloud platform powers some of the world’s largest infrastructures, including more than half of AT&T’s backbone.

We Are Looking For a Highly Technical, Hands-on System Architect To Lead The Architecture And Evolution Of DriveNets Automation Platform (DAP), With Focus On

Infrastructure automation Service lifecycle orchestration Multi-tenant operations Intent-based networking Closed-loop assurance Cloud-native OSS transformation This role is ideal for architects passionate about scalable automation systems, distributed cloud-native platforms, and carrier-grade operational workflows.

The Role As a DAP Infrastructure & Services Automation Architect, you will define and drive the architecture for automation frameworks enabling lifecycle management of DriveNets Network Cloud deployments at hyperscale.

You will bridge: Network infrastructure NOS internals Kubernetes-native microservices OSS/BSS integration Telemetry and analytics CI/CD operational models AI-assisted operational automation You will work closely with: DAP engineering Infrastructure teams NOS platform groups DevOps/SRE Product management Tier-1 service provider customers

Requirements

Networking & Infrastructure

• 6+ years designing large-scale Service Provider or hyperscale IP/MPLS networks
• Strong understanding of:
• BGP
• ISIS
• RSVP-TE
• EVPN/VXLAN
• Segment Routing
• QoS architectures
• Deep familiarity with distributed routing systems and disaggregated architectures
  
  

• 4+ years in network automation and orchestration
• Strong knowledge of:
• NetConf/YANG
• gNMI
• REST/gRPC
• OpenConfig
• Hands-on Kubernetes architecture experience
• Strong understanding of:
• Docker
• Helm
• Service meshes
• Microservices
• Event-driven systems
  
  

• Prometheus
• Grafana
• OpenTelemetry
• Kafka
• Pulsar
• RabbitMQ
• Strong SRE mindset:
• HA
• Scalability
• Failure domains
• Reliability engineering
• Operational resiliency
  
  

• Deep networking expertise
• Cloud-native software architecture
• Automation-first thinking
• Operational scalability mindset
• Strong customer-facing communication
• Ability to translate hyperscale operational requirements into reusable platform capabilities