Senior Platform Network Engineer
Flox
- London
- £55,000-65,000 per year
- Permanent
- Full-time
- Own the entire networking stack: edge hardware, VPN configurations, cloud networking, on-premises and edge deployments, while ensuring comprehensive security for FLOX, its customers and stakeholders
- Lead network hardware specification, qualification, configuration and deployment across diverse agricultural environments
- Operate monitoring systems to ensure network uptime and performance, responding to issues through established incident management processes
- Conduct remote and on-farm network debugging and issue resolution, collaborating on root cause analysis and implementing systematic improvements
- Develop comprehensive scalability plans for our global network of systems and devices, aligned with ambitious international growth objectives
- Leverage AI-driven network optimisation and automation to ensure operations scale efficiently with expansion plans
- Configure and maintain load balancers, network switches, routers, and wireless infrastructure for farm deployments
- Design and implement infrastructure-as-code solutions for automated network and platform deployments
- Define and maintain scalable data pipelines to process multimodal inputs including video, sensor data and structured metadata from network edge devices
- Build internal tools, diagnostics and platform APIs that empower product delivery teams to operate reliably and self-serve common workflows
- Develop automated systems to detect network and platform anomalies, including connectivity issues and ingestion breakdowns, with escalation workflows
- Work cross-functionally with Computer Vision, DevOps and Product colleagues to align platform capabilities with product goals and ensure reliable integration points
- Optimise platform architecture for high availability and fault tolerance through resilient patterns and failover mechanisms that complement network redundancy
- Lead the development of infrastructure for deploying and monitoring edge applications and services across the distributed network
- Collaborate with tech leads on incident response, architectural reviews and decision-making to drive continuous improvements in platform reliability
- Cisco, MikroTik, Netgear, Ubiquiti (or equivalent)
- PoE systems and fibre: PoE+/PoE++, extenders, CAT5/5e/6 cabling, single/multi-mode fibre
- IoT gateways and messaging: BLE gateways, MQTT
- firewalls, VPNs, NAT gateways, zero-trust and ACLs, Keycloak and NGINX reverse proxy
- TCP/IP, BGP, OSPF, VLAN, STP, LACP
- Python and FastAPI
- Kafka, MySQL, MongoDB, PostgreSQL
- Docker; Kubernetes networking and service mesh; RKE2
- RTMP, WebRTC, HLS, MPEG-DASH
- Prometheus, Grafana, Alertmanager, Thanos; ELK; Jaeger; custom exporters
- Jenkins, GitLab, Sonatype Nexus, Terraform, Ansible, Argo CD
- AWS (primary), with GCP/Azure exposure
- DVC, MLFlow, Airflow, Dagster, CVAT, Weights & Biases; data lakes/warehouse
- 5+ years in platform, infrastructure or ML Ops roles - ideally within data-heavy AI/ML product environments
- 3+ years hands-on networking experience
- Proficiency in edge computing constraints (latency, connectivity, bandwidth) and how to design for them.
- Proficiency designing and deploying secure, performant and scalable on-prem and on-edge networks
- Remote and in person network fault finding and resolution
- A proven track record in designing and scaling edge-to-cloud ingestion pipelines for multimodal data (video, sensor, metadata).
- A strong software engineering and systems design mindset - particularly around reliability, failure handling and performance optimisation.
- Hands-on experience deploying ML models in production, including monitoring, feedback loops and rollback strategies.
- Proficiency with DevOps best practices and Infrastructure as Code, in close collaboration with platform or infra engineers.
- A systems thinker with a deep focus on product reliability, as well as a collaborative team player able to take ownership across the platform stack.
- Prior experience in a start-up or scale-up environment is essential.
- Excellent cross-functional communication skills - comfortable working across technical and operational teams.
- Able to travel to our E8 London HQ approximately twice per week.
- [Desirable] Experience with video ingestion, sensor integration or anomaly detection.
- Up to £65k p.a. depending on experience and location
- Hybrid working, in the office twice a week with flexibility
- Inclusive and relaxed company culture: we welcome everyone, we encourage you to be yourself and dress as you like
- Lunch and snacks provided
- Exposure to state-of-the-art technologies
- A talented and international work environment
- Travel within the UK & potentially into the US and LATAM
- A chance to work with well-respected experts, including AI and robotics