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Role

Senior Platform Network Engineer to work directly under the Engineering Manager in our London office. We are a growing start-up with room for progression; you may be asked to work outside your job description based on strengths and interests.

Responsibilities

• 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, and respond 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 the 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.

• Platform Engineering: 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 teams 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.

• Tech Stack – Hardware: Cisco, MikroTik, Netgear, Ubiquiti (or equivalent); PoE systems and fibre; IoT gateways and messaging (BLE gateways, MQTT).
• Networking: firewalls, VPNs, NAT gateways, zero-trust and ACLs, Keycloak and NGINX reverse proxy; TCP/IP, BGP, OSPF, VLAN, STP, LACP.
• DevOps / MLOps / Software Development: 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.

• Requirements (preferred): 5+ years in platform, infrastructure or ML Ops roles (ideally in data-heavy AI/ML product environments); 3+ years hands-on networking; strong edge computing design for latency, connectivity, and bandwidth; secure, scalable on-prem and on-edge networks; remote and in-person fault finding; experience designing and scaling edge-to-cloud ingestion pipelines for multimodal data; software engineering mindset focused on reliability and performance; hands-on ML model deployment in production with monitoring and rollback strategies; DevOps and Infrastructure as Code practices; cross-functional collaborator with product reliability focus; startup/scale-up experience; excellent cross-functional communication; ability to travel to E8 London HQ ~2x per week; [Desirable] experience with video ingestion, sensor integration or anomaly detection.

What we can offer you

• 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 and potentially into the US and LATAM
• A chance to work with well-respected experts, including AI and robotics

We are committed to equality of opportunity for all staff and applications from all individuals are encouraged regardless of age, socioeconomic background, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Design and Engineering

Industries

• Civil Engineering

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