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.
Senior Delivery Engineer (EMEA) in London employer: Fogsphere
Fogsphere is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. As a Junior Software Engineer, you will benefit from hands-on experience in cutting-edge AI technologies, with ample opportunities for professional growth through mentorship and cross-team collaboration. The company prioritises employee development and offers a dynamic environment where your contributions directly impact critical safety solutions for large-scale deployments.
