Senior Delivery Engineer (EMEA)

About Fogsphere

Fogsphere is a London-based innovator focused on transforming workplace and urban safety through advanced AI, Computer Vision, and Industrial IoT. Built on a principled “Edge-to-Fog-to-Cloud” architecture, our platform turns passive CCTV cameras and sensors into proactive hazard detectors, capable of identifying threats like missing PPE, fire, smoke, restricted access violations, and more-in real time and at scale. This helps organizations across industries-from manufacturing, construction, oil & gas, and healthcare to smart cities-reduce workplace accidents by up to 90%, ensure regulatory compliance (EHS), and gain powerful operational insights. Fogsphere’s intuitive no-code visual workflows, hyper-scalable Kubernetes-based infrastructure, and commitment to ethical AI and privacy (GDPR compliance) make it a user-friendly yet enterprise-grade solution.

Key Responsibilities

• Infrastructure Deployment & Reliability

• Design, deploy, and maintain Kubernetes clusters on bare-metal and cloud platforms (e.g., Azure AKS or equivalent).
• Deploy, configure, and manage edge nodes for real-time inference.
• Ensure systems are high performance, resilient, and reliable across distributed environments.

• AI Workflow Development & Training

• Master Fogsphere’s no-code AI workflow platform.
• Design, configure, and optimize computer vision workflows (ROIs, thresholds, parameters).
• Develop custom workflow filters and integration scripts in JavaScript.
• Provide training to partners and customers on workflow configuration, deployments, and best practices.

• Integration & APIs

• Build and maintain interfaces with third-party system APIs (SCADA, ERP, safety platforms, retail or logistics systems).
• Work with Fogsphere’s API-driven platform for automation, reporting, and integrations.
• Configure workflows for publish/subscribe messaging (MQTT, Kafka, or similar).

• IoT & Sensors

• Integrate with IoT infrastructure for command and event-based automation.
• Configure LoRaWAN networks and sensors (preferred).

• Customer & Partner Enablement

• Lead deployments across EMEA, ensuring partner success.
• Provide hands-on training, workshops, and documentation for partners and customers.
• Communicate clearly and empathetically with customers who are new to Fogsphere’s technology.

Required Skills & Experience

• Strong background in Linux systems administration and DevOps.
• Proven experience deploying Kubernetes clusters on physical and cloud infrastructure (Azure AKS or equivalent).
• Expert knowledge of containers (Docker/Podman) - deployment, scaling, and updates.
• Strong programming skills in JavaScript for workflow customization and API integration.
• Experience with third-party system APIs in enterprise environments.
• Solid understanding of computer vision AI parameters and workflow optimization.
• Knowledge of publish/subscribe architectures (MQTT, Kafka).
• Excellent verbal and written communication skills in English.
• Empathy and patience when supporting and training partners/customers.

Preferred Experience

• Working knowledge of Italian, Spanish, and/or Arabic.
• Experience with LoRaWAN network servers and IoT devices.
• Hands-on experience with GPU-based workloads.
• Prior customer-facing consulting or delivery in mission-critical AI/IoT deployments.

Qualifications

• Bachelor’s or Master’s in Computer Science, Engineering, or equivalent experience.
• 7-10+ years in Linux, DevOps, and distributed infrastructure deployment.
• 3+ years of production Kubernetes experience.
• Proven experience in customer-facing delivery or partner enablement roles.

Why Join Fogsphere

You’ll be at the forefront of AI, computer vision, and IoT innovation, working with global partners and leading enterprises in oil & gas, energy, manufacturing, smart cities, transportation & logistics, and retail. This role combines deep technical challenges with the opportunity to make a real impact by training and supporting partners in deploying AI to transform safety, security, and operations across EMEA.