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- Tasks: Design and maintain cutting-edge Kubernetes clusters while optimising AI workflows for real-time safety solutions.
- Company: Join Fogsphere, a pioneering London-based innovator in AI and IoT technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation, transforming safety across diverse industries.
- Qualifications: 7-10 years in Linux and DevOps, with strong Kubernetes and customer-facing experience.
- Other info: Dynamic role with global impact and excellent career advancement opportunities.
The predicted salary is between 48000 - 72000 Ā£ per year.
Fogsphere is a Londonābased innovator focused on transforming workplace and urban safety through advanced AI, Computer Vision, and Industrial IoT. Built on a principled "EdgeātoāFogātoāCloud" 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 moreāin real time and at scale. This helps organizations across industriesāfrom manufacturing, construction, oil & gas, and healthcare to smart citiesāreduce workplace accidents by up to 90%, ensure regulatory compliance (EHS), and gain powerful operational insights. Fogsphere's intuitive noācode visual workflows, hyperāscalable Kubernetesābased infrastructure, and commitment to ethical AI and privacy (GDPR compliance) make it a userāfriendly yet enterpriseāgrade solution.
Key Responsibilities
- Infrastructure Deployment & Reliability
- Design, deploy, and maintain Kubernetes clusters on bareāmetal and cloud platforms (e.g., Azure AKS or equivalent).
- Deploy, configure, and manage edge nodes for realātime inference.
- Ensure systems are high performance, resilient, and reliable across distributed environments.
- AI Workflow Development & Training
- Master Fogsphere's noācode 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 thirdāparty system APIs (SCADA, ERP, safety platforms, retail or logistics systems).
- Work with Fogsphere's APIādriven 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 eventābased automation.
- Configure LoRaWAN networks and sensors (preferred).
- Customer & Partner Enablement
- Lead deployments across EMEA, ensuring partner success.
- Provide handsāon 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) ā deployment, scaling, and updates.
- Experience with thirdāparty 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.
- Handsāon experience with GPUābased workloads.
- Prior customerāfacing consulting or delivery in missionācritical AI/IoT deployments.
Qualifications
- Bachelor's or Master's in Computer Science, Engineering, or equivalent experience.
- 7ā10+ years in Linux, DevOps, and distributed infrastructure deployment.
- 3+ years of production Kubernetes experience.
- Proven experience in customerāfacing delivery or partner enablement roles.
Why Join Fogsphere
Youāll 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 - A Trading Name of Redev AI Ltd.
Contact Detail:
Fogsphere - A Trading Name of Redev AI Ltd. Recruiting Team
StudySmarter Expert Advice š¤«
We think this is how you could land Senior Delivery Engineer (EMEA) in London
āØTip Number 1
Network like a pro! Attend industry events, webinars, and meetups related to AI, IoT, and safety tech. It's all about making connections that could lead to job opportunities, so donāt be shyāintroduce yourself and chat with others in the field.
āØTip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Kubernetes, AI workflows, or IoT integrations. This gives potential employers a taste of what you can do and sets you apart from the crowd.
āØTip Number 3
Prepare for interviews by brushing up on common technical questions related to Linux, DevOps, and Kubernetes. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
āØTip Number 4
Donāt forget to apply through our website! Itās the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our mission at Fogsphere.
We think you need these skills to ace Senior Delivery Engineer (EMEA) in London
Some tips for your application š«”
Tailor Your CV: Make sure your CV is tailored to the Senior Delivery Engineer role. Highlight your experience with Kubernetes, Linux systems, and any relevant AI or IoT projects. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about transforming workplace safety with AI and how your background makes you a perfect fit for Fogsphere. Keep it engaging and personal!
Showcase Your Communication Skills: Since this role involves training and supporting partners, it's crucial to demonstrate your excellent communication skills. Use clear and concise language in your application to show us you can explain complex concepts simply.
Apply Through Our Website: We encourage you to apply directly through our website. Itās the best way for us to receive your application and ensures youāre considered for the role. Plus, it shows youāre keen on joining our team!
How to prepare for a job interview at Fogsphere - A Trading Name of Redev AI Ltd.
āØKnow Your Tech Inside Out
Make sure youāre well-versed in Kubernetes, Linux systems, and the specific technologies mentioned in the job description. Brush up on your knowledge of Docker, APIs, and computer vision workflows. Being able to discuss these topics confidently will show that you're the right fit for the role.
āØShowcase Your Problem-Solving Skills
Prepare examples from your past experiences where you've successfully deployed infrastructure or solved complex issues. Fogsphere values innovation and reliability, so demonstrating how you've tackled challenges in high-pressure environments will set you apart.
āØCommunicate Clearly and Empathetically
Since this role involves training partners and customers, practice explaining technical concepts in simple terms. Highlight your communication skills during the interview, as being able to convey complex ideas clearly is crucial for success at Fogsphere.
āØResearch Fogsphere's Mission and Values
Understand Fogsphereās commitment to safety, ethical AI, and privacy. Be ready to discuss how your values align with theirs and how you can contribute to their mission of transforming workplace safety through technology. This shows genuine interest and enthusiasm for the role.
