Overview

Senior Platform Network Engineer (London) at FLOX. We believe smarter farms lead to thriving chickens and healthier lives. Our mission is simple: healthier chickens benefit everyone. We built FLOX360, a system that uses Computer Vision, smart sensors, and real-time insights to transform poultry farming. Today, we’re watching 60 million chickens a year. We are setting the standard for animal welfare and smart farming.

We are a diverse team of engineers and entrepreneurs, representing multiple nationalities and backgrounds. Our culture is grounded in values we live every day: Empathetic Artisan, Tenacious Innovator, Hand in Glove, and Worth Building. We are looking for ambitious, humble, and purpose-driven people to join us in building a future of smarter farms, thriving chickens, and healthier lives.

The role

We are seeking a Senior Platform Network Engineer to work directly under our CTO in our London office. This role sits in the Engineering Team and reports to the Senior Engineering Manager. We are a growing startup with room for progression and for you to make the role your own. Occasionally, you may be asked to work outside your job description based on strengths and interests.

What you will be doing

• Network Infrastructure: 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 our global network of systems and devices, aligned with international growth objectives.
• Leverage AI-driven network optimisation and automation to scale operations 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 with 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.

Qualifications

• Understanding of networking protocols: TCP/IP, BGP, OSPF, VLAN, STP, LACP
• Experience with switches/routers from Cisco, MikroTik, Netgear, Ubiquiti (or equivalent)
• Experience with wireless deployments (Wi-Fi 6/6E) and resilient WANs (Starlink, cellular backup)
• Experience with PoE systems and fibre: PoE+/PoE++, extenders, CAT5/5e/6 cabling, single/multi-mode fibre
• Experience with IoT gateways and messaging: BLE gateways, MQTT
• Understanding of storage/compute for edge AI: local storage for model training, ZFS, RAIDs, NFS
• Experience with security controls: firewalls, VPNs, NAT gateways; understanding of zero-trust and ACLs; experience with Keycloak and NGINX reverse proxy
• Experience with Python and FastAPI; understanding of data/messaging systems: Kafka, MySQL, MongoDB, PostgreSQL
• Experience with containers and orchestration: Docker; Kubernetes networking and service mesh; RKE2
• Experience with streaming protocols: RTMP, WebRTC, HLS, MPEG-DASH
• Experience with monitoring/telemetry: Prometheus, Grafana, Alertmanager, Thanos; ELK; Jaeger; custom exporters
• Experience with CI/CD and automation: Jenkins, GitLab, Sonatype Nexus, Terraform, Ansible, Argo CD
• Experience with cloud platforms: AWS (primary), with GCP/Azure exposure
• Experience with MLOps/data tooling: DVC, MLFlow, Airflow, Dagster, CVAT, Weights & Biases; data lakes/warehouses

What we can offer you

• Up to 65k p.a. depending on experience and location
• Flexible working
• Inclusive and relaxed company culture: we welcome everyone, we encourage you to be yourself and dress as you like
• Exposure to state-of-the-art technologies
• A young 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.