Senior Delivery Engineer (EMEA)

As a Senior Delivery Engineer at Fogsphere, you will ensure the successful deployment, configuration, and operation of Fogsphere’s AI-powered platform across customer environments in EMEA. You will work closely with our partners and enterprise customers to deploy production-grade backend Kubernetes infrastructure and edge nodes, configure workflows, and integrate with external systems. This is a senior, customer-facing technical role requiring deep expertise in Linux, DevOps, and Kubernetes, strong software integration skills, and the ability to train and guide partners and customers who are adopting new AI technologies. The role requires someone who is highly technical, a fast learner, and empathetic when working with partners and customers at different levels of technical maturity. The position is based in London. Candidates located elsewhere will only be considered if they demonstrate exceptional skills and proven ability to succeed in this role. While most work will be performed remotely, the role may require international travel to customer sites in Europe and the Middle East.

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).
• 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.

Qualifications

• 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.
• 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.
• 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.

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.