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. About the Role We are looking for a Backend Developer who can independently manage, maintain, and evolve Fogsphere's microservices codebase and proprietary libraries. You will be responsible for implementing new product features, maintaining and writing database migration scripts, identifying and fixing bugs autonomously, and ensuring high-quality, reliable backend services across our platform. This role requires strong ownership, hands on problem solving, and the ability to work within a distributed, cloud native environment. Key Responsibilities Develop, maintain, and optimize backend microservices powering the Fogsphere platform Design and implement new features and integrations in Node.js Maintain and write SQL database migration scripts for our relational DB ecosystem (primarily PostgreSQL) Debug issues across services and infrastructure with minimal supervision Contribute to designing scalable APIs and distributed system components Collaborate with DevOps and ML/AI teams to ensure seamless platform operation Ensure code quality, reliability, and security across the backend stack Participate in architectural discussions related to microservices, performance, and scaling Required Skills & Qualifications Solid experience with PostgreSQL and relational databases Good understanding of the TCP/IP stack Good knowledge of Linux operating systems and shell workflows Excellent hands on knowledge of Docker Good understanding of Kubernetes (not mandatory, but highly valuable) Ability to work autonomously and take ownership of complex backend componentsMandatory Knowledge Before Joining Redis Nice to Have Golang Rust C C++ Python Experience with high scale, low latency systems Experience with IoT, streaming, or event driven architectures What We Offer ZERO micromanagement. At Fogsphere, developers work independently under the Head of Engineering, with focus on open discussion and professional development, where the best ideas are the ones applied. Opportunity to work on cutting edge front end development challenges in some of the largest deployments in the field. Collaborative environment with a team of engineers based in multiple countries. Competitive salary and benefits package. Career growth and continuous learning opportunities.
03/02/2026
Full time
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. About the Role We are looking for a Backend Developer who can independently manage, maintain, and evolve Fogsphere's microservices codebase and proprietary libraries. You will be responsible for implementing new product features, maintaining and writing database migration scripts, identifying and fixing bugs autonomously, and ensuring high-quality, reliable backend services across our platform. This role requires strong ownership, hands on problem solving, and the ability to work within a distributed, cloud native environment. Key Responsibilities Develop, maintain, and optimize backend microservices powering the Fogsphere platform Design and implement new features and integrations in Node.js Maintain and write SQL database migration scripts for our relational DB ecosystem (primarily PostgreSQL) Debug issues across services and infrastructure with minimal supervision Contribute to designing scalable APIs and distributed system components Collaborate with DevOps and ML/AI teams to ensure seamless platform operation Ensure code quality, reliability, and security across the backend stack Participate in architectural discussions related to microservices, performance, and scaling Required Skills & Qualifications Solid experience with PostgreSQL and relational databases Good understanding of the TCP/IP stack Good knowledge of Linux operating systems and shell workflows Excellent hands on knowledge of Docker Good understanding of Kubernetes (not mandatory, but highly valuable) Ability to work autonomously and take ownership of complex backend componentsMandatory Knowledge Before Joining Redis Nice to Have Golang Rust C C++ Python Experience with high scale, low latency systems Experience with IoT, streaming, or event driven architectures What We Offer ZERO micromanagement. At Fogsphere, developers work independently under the Head of Engineering, with focus on open discussion and professional development, where the best ideas are the ones applied. Opportunity to work on cutting edge front end development challenges in some of the largest deployments in the field. Collaborative environment with a team of engineers based in multiple countries. Competitive salary and benefits package. Career growth and continuous learning opportunities.
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. About the Role We are seeking a skilled React.js Developer to join our front-end development team. In this role, you will be responsible for developing and implementing user interface components using React.js concepts and workflows such as Redux, Flux, and Webpack. You will also be responsible for profiling and improving front-end performance and documenting our front-end codebase. Key Responsibilities Develop new user-facing features using React.js Build reusable components and front-end libraries for future use Translate designs and wireframes into high-quality code Optimize components for maximum performance across a vast array of web-capable devices and browsers Collaborate with back-end developers and web designers to improve usability Write application interface codes using JavaScript following React.js workflows Troubleshoot interface software and debug application codes Ensure the technical feasibility of UI/UX designs Stay up-to-date with emerging technologies and industry trends Qualifications Proficiency in JavaScript, including DOM manipulation and the JavaScript object model Thorough understanding of React.js and its core principles Experience with popular React.js workflows (such as Redux or Flux) Familiarity with newer specifications of ECMAScript Experience with data structure libraries (e.g., Immutable.js) Knowledge of isomorphic React is a plus Familiarity with RESTful APIs Knowledge of modern authorization mechanisms, such as JSON Web Tokens Familiarity with modern front-end build pipelines and tools Experience with common front-end development tools such as Babel, Webpack, NPM, etc. Ability to understand business requirements and translate them into technical requirements A knack for benchmarking and optimization Familiarity with code versioning tools such as Git Preferred Skills Experience with TypeScript Familiarity with server-side rendering Knowledge of testing frameworks such as Jest or Mocha Experience with continuous integration/continuous deployment (CI/CD) pipelines What We Offer ZERO micromanagement. At Fogsphere, developers work independently under the Head of Engineering, with a focus on open discussion and professional development, where the best ideas are the ones applied. Opportunity to work on cutting-edge front-end development challenges in some of the largest deployments in the field. Collaborative environment with a team of engineers based in multiple countries. Competitive salary and benefits package. Career growth and continuous learning opportunities.
03/02/2026
Full time
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. About the Role We are seeking a skilled React.js Developer to join our front-end development team. In this role, you will be responsible for developing and implementing user interface components using React.js concepts and workflows such as Redux, Flux, and Webpack. You will also be responsible for profiling and improving front-end performance and documenting our front-end codebase. Key Responsibilities Develop new user-facing features using React.js Build reusable components and front-end libraries for future use Translate designs and wireframes into high-quality code Optimize components for maximum performance across a vast array of web-capable devices and browsers Collaborate with back-end developers and web designers to improve usability Write application interface codes using JavaScript following React.js workflows Troubleshoot interface software and debug application codes Ensure the technical feasibility of UI/UX designs Stay up-to-date with emerging technologies and industry trends Qualifications Proficiency in JavaScript, including DOM manipulation and the JavaScript object model Thorough understanding of React.js and its core principles Experience with popular React.js workflows (such as Redux or Flux) Familiarity with newer specifications of ECMAScript Experience with data structure libraries (e.g., Immutable.js) Knowledge of isomorphic React is a plus Familiarity with RESTful APIs Knowledge of modern authorization mechanisms, such as JSON Web Tokens Familiarity with modern front-end build pipelines and tools Experience with common front-end development tools such as Babel, Webpack, NPM, etc. Ability to understand business requirements and translate them into technical requirements A knack for benchmarking and optimization Familiarity with code versioning tools such as Git Preferred Skills Experience with TypeScript Familiarity with server-side rendering Knowledge of testing frameworks such as Jest or Mocha Experience with continuous integration/continuous deployment (CI/CD) pipelines What We Offer ZERO micromanagement. At Fogsphere, developers work independently under the Head of Engineering, with a focus on open discussion and professional development, where the best ideas are the ones applied. Opportunity to work on cutting-edge front-end development challenges in some of the largest deployments in the field. Collaborative environment with a team of engineers based in multiple countries. Competitive salary and benefits package. Career growth and continuous learning opportunities.
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). 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. 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 face 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.
03/02/2026
Full time
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). 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. 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 face 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.
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. Description As a QA Engineer, you will design, automate, and execute tests that ensure the reliability, security, and performance of Fogsphere's AI platform. You'll work hands on across UI, API, integration, and security testing, collaborating closely with Engineering, Product, and DevOps to embed quality throughout the development lifecycle. This role reports to the QA Lead Engineer. Responsibilities Implement, maintain, and optimize automated tests across UI, API/backend, integration, and regression suites. Contribute to robust testing pipelines in CI/CD (Azure DevOps), including gating policies and quality metrics. Apply Test Driven Development (TDD) and Behavior Driven Development (BDD) practices using Behave and related frameworks. Execute and manage test plans and test cases in Atlassian X Ray or TestQube testing platforms, with clear traceability to requirements and defects. Build scalable GUI test automation with Playwright and/or Selenium; stabilize flaky tests and improve runtime. Collaborate with engineers to reproduce, triage, and root cause defects; champion preventive fixes. Integrate and monitor security checks in the pipeline (static analysis, dependency scanning, basic runtime checks). Contribute to test data management and maintain test environments aligned with microservices and Kubernetes deployments. Track and report quality signals (coverage, pass/fail trends, defect leakage) to the QA Lead and stakeholders. Document test strategies, fixtures, and utilities; share knowledge through reviews and pairing. Qualifications Software Development: 3+ years in software testing/engineering; solid Python proficiency (tests are Python based). Quality Assurance: 1+ years hands on QA for enterprise or high availability platforms; practical use of TDD/BDD. Tools & Frameworks Behave for BDD (or equivalent). Playwright and/or Selenium for UI automation. Atlassian X Ray (1+ years) for test management and traceability. Azure DevOps pipelines and ecosystem for CI/CD. SonarQube Test Infrastructure & Security Experience integrating automated tests into end to end pipelines; exposure to code and dependency security scanning. Architecture & DevOps Familiarity with microservices, containers, Kubernetes, and distributed systems; Git fluency. Bonus (not required) Performance testing experience (e.g., JMeter, Locust). Familiarity with compliance frameworks (ISO 27001, SOC 2). Exposure to container ecosystems, IoT, or AI enabled tooling. Competitive salary: £35,000, gross per year. Bespoke benefits, negotiated per candidate profile. Opportunity to shape QA strategy in a fast scaling, tech centric startup. Hands on exposure to cutting edge AI, IoT, and edge computing technologies. Professional growth: training, conferences, certifications, and career progression. A collaborative, inclusive environment with a high innovation pulse.
03/02/2026
Full time
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. Description As a QA Engineer, you will design, automate, and execute tests that ensure the reliability, security, and performance of Fogsphere's AI platform. You'll work hands on across UI, API, integration, and security testing, collaborating closely with Engineering, Product, and DevOps to embed quality throughout the development lifecycle. This role reports to the QA Lead Engineer. Responsibilities Implement, maintain, and optimize automated tests across UI, API/backend, integration, and regression suites. Contribute to robust testing pipelines in CI/CD (Azure DevOps), including gating policies and quality metrics. Apply Test Driven Development (TDD) and Behavior Driven Development (BDD) practices using Behave and related frameworks. Execute and manage test plans and test cases in Atlassian X Ray or TestQube testing platforms, with clear traceability to requirements and defects. Build scalable GUI test automation with Playwright and/or Selenium; stabilize flaky tests and improve runtime. Collaborate with engineers to reproduce, triage, and root cause defects; champion preventive fixes. Integrate and monitor security checks in the pipeline (static analysis, dependency scanning, basic runtime checks). Contribute to test data management and maintain test environments aligned with microservices and Kubernetes deployments. Track and report quality signals (coverage, pass/fail trends, defect leakage) to the QA Lead and stakeholders. Document test strategies, fixtures, and utilities; share knowledge through reviews and pairing. Qualifications Software Development: 3+ years in software testing/engineering; solid Python proficiency (tests are Python based). Quality Assurance: 1+ years hands on QA for enterprise or high availability platforms; practical use of TDD/BDD. Tools & Frameworks Behave for BDD (or equivalent). Playwright and/or Selenium for UI automation. Atlassian X Ray (1+ years) for test management and traceability. Azure DevOps pipelines and ecosystem for CI/CD. SonarQube Test Infrastructure & Security Experience integrating automated tests into end to end pipelines; exposure to code and dependency security scanning. Architecture & DevOps Familiarity with microservices, containers, Kubernetes, and distributed systems; Git fluency. Bonus (not required) Performance testing experience (e.g., JMeter, Locust). Familiarity with compliance frameworks (ISO 27001, SOC 2). Exposure to container ecosystems, IoT, or AI enabled tooling. Competitive salary: £35,000, gross per year. Bespoke benefits, negotiated per candidate profile. Opportunity to shape QA strategy in a fast scaling, tech centric startup. Hands on exposure to cutting edge AI, IoT, and edge computing technologies. Professional growth: training, conferences, certifications, and career progression. A collaborative, inclusive environment with a high innovation pulse.
A technology company in London is seeking a Delivery Engineer to support the deployment and operation of AI-powered platforms. The role involves working with Kubernetes and integrating with external systems to enhance operational safety across diverse industries. Ideal candidates will have a strong DevOps background and customer-focused mindset. The position offers opportunities for international travel within Europe and the Middle East, with a hybrid work environment.
03/02/2026
Full time
A technology company in London is seeking a Delivery Engineer to support the deployment and operation of AI-powered platforms. The role involves working with Kubernetes and integrating with external systems to enhance operational safety across diverse industries. Ideal candidates will have a strong DevOps background and customer-focused mindset. The position offers opportunities for international travel within Europe and the Middle East, with a hybrid work environment.
A technology innovator in London is seeking a Backend Developer to manage and evolve their microservices codebase. The successful candidate will implement new features, write database migration scripts, and debug issues within a cloud-native environment. Strong experience with PostgreSQL, Docker, and autonomy in problem-solving is required. This role offers a collaborative atmosphere and a focus on professional development, alongside a competitive salary and benefits package.
03/02/2026
Full time
A technology innovator in London is seeking a Backend Developer to manage and evolve their microservices codebase. The successful candidate will implement new features, write database migration scripts, and debug issues within a cloud-native environment. Strong experience with PostgreSQL, Docker, and autonomy in problem-solving is required. This role offers a collaborative atmosphere and a focus on professional development, alongside a competitive salary and benefits package.
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. AbouttheRole Asa DeliveryEngineer at Fogsphere, you will support the deployment, configuration, and operation of Fogsphere's AI powered platform across customer and partner environments in EMEA. You will work closely with Senior Delivery Engineers, partners, and enterprise customers to deploy production grade Kubernetes infrastructure, configure AI workflows, and integrate Fogsphere with external systems. This is a hands on, customer facing technical role, ideal for an engineer with a strong DevOps foundation who is looking to grow expertise in AI, computer vision, edge computing, and IoT. 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. KeyResponsibilities; 1)InfrastructureDeployment&Operations Support the deployment, configuration, and maintenance of Kubernetes clusters on cloud and bare metal environments (e.g. Azure AKS or equivalent). Deploy and operate containerized applications using Docker (or similar). Assist in deploying and managing edge nodes for real time AI inference. Monitor system performance, reliability, and availability across distributed environments. Collaborate with senior engineers on troubleshooting and operational improvements. 2)AIWorkflowConfiguration Configure and optimize AI workflows using Fogsphere's no code platform. Tune computer vision parameters such as regions of interest (ROIs), thresholds, and filters. Learn and apply best practices for AI workflow deployment and optimization. 3)Integrations&APIs Support integrations with third party systems such as ERP, SCADA, safety, retail, or logistics platforms. Work with Fogsphere's API driven platform for automation and reporting. Configure publish/subscribe messaging patterns (e.g. MQTT, Kafka, or similar technologies). 4)Customer&PartnerEnablement Support customer and partner deployments across EMEA. Participate in technical onboarding, training sessions, and workshops. Provide clear, empathetic technical support to customers with varying levels of technical maturity. Contribute to technical documentation and deployment guides. RequiredSkills&Experience 3-4 years of experience in Linux systems administration and DevOps. Hands on experience with Kubernetes in production environments. Strong understanding of containers and container orchestration (Docker, Kubernetes). Experience working with REST APIs and external systems. Basic understanding of distributed systems and cloud infrastructure. Strong written and verbal communication skills in English. A customer focused mindset with patience and empathy when supporting users. NicetoHave Experience with Azure AKS or other managed Kubernetes services. Exposure to computer vision or AI based workflows. Familiarity with MQTT, Kafka, or event driven architectures. Experience with edge computing, IoT platforms, or sensors. Knowledge of LoRaWAN networks and devices. Additional languages such as Italian, Spanish, or Arabic. Proven experience in customer facing delivery or partner enablement roles. Qualifications Bachelor's or Master's in Computer Science, Engineering, or equivalent experience. 2+ years in Linux, DevOps, and distributed infrastructure deployment. 2+ years of production Kubernetes experience. WhyJoinFogsphere 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. SelectionProcess After submitting your application, you will be contacted by our HR team to schedule an initial interview, subject to a positive CV screening. The first interview will focus on getting to know you, your background, and your career path, and will include a small number of light technical questions. If the outcome is positive, you will be invited to one or two technical interview rounds (depending on both your availability and the team's schedule), aimed at assessing your technical skills and problem solving approach. Following a successful technical evaluation, you will have a final conversation with members of the management team. At that stage, you will be ready to move forward and start your journey with Fogsphere.
02/02/2026
Full time
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. AbouttheRole Asa DeliveryEngineer at Fogsphere, you will support the deployment, configuration, and operation of Fogsphere's AI powered platform across customer and partner environments in EMEA. You will work closely with Senior Delivery Engineers, partners, and enterprise customers to deploy production grade Kubernetes infrastructure, configure AI workflows, and integrate Fogsphere with external systems. This is a hands on, customer facing technical role, ideal for an engineer with a strong DevOps foundation who is looking to grow expertise in AI, computer vision, edge computing, and IoT. 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. KeyResponsibilities; 1)InfrastructureDeployment&Operations Support the deployment, configuration, and maintenance of Kubernetes clusters on cloud and bare metal environments (e.g. Azure AKS or equivalent). Deploy and operate containerized applications using Docker (or similar). Assist in deploying and managing edge nodes for real time AI inference. Monitor system performance, reliability, and availability across distributed environments. Collaborate with senior engineers on troubleshooting and operational improvements. 2)AIWorkflowConfiguration Configure and optimize AI workflows using Fogsphere's no code platform. Tune computer vision parameters such as regions of interest (ROIs), thresholds, and filters. Learn and apply best practices for AI workflow deployment and optimization. 3)Integrations&APIs Support integrations with third party systems such as ERP, SCADA, safety, retail, or logistics platforms. Work with Fogsphere's API driven platform for automation and reporting. Configure publish/subscribe messaging patterns (e.g. MQTT, Kafka, or similar technologies). 4)Customer&PartnerEnablement Support customer and partner deployments across EMEA. Participate in technical onboarding, training sessions, and workshops. Provide clear, empathetic technical support to customers with varying levels of technical maturity. Contribute to technical documentation and deployment guides. RequiredSkills&Experience 3-4 years of experience in Linux systems administration and DevOps. Hands on experience with Kubernetes in production environments. Strong understanding of containers and container orchestration (Docker, Kubernetes). Experience working with REST APIs and external systems. Basic understanding of distributed systems and cloud infrastructure. Strong written and verbal communication skills in English. A customer focused mindset with patience and empathy when supporting users. NicetoHave Experience with Azure AKS or other managed Kubernetes services. Exposure to computer vision or AI based workflows. Familiarity with MQTT, Kafka, or event driven architectures. Experience with edge computing, IoT platforms, or sensors. Knowledge of LoRaWAN networks and devices. Additional languages such as Italian, Spanish, or Arabic. Proven experience in customer facing delivery or partner enablement roles. Qualifications Bachelor's or Master's in Computer Science, Engineering, or equivalent experience. 2+ years in Linux, DevOps, and distributed infrastructure deployment. 2+ years of production Kubernetes experience. WhyJoinFogsphere 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. SelectionProcess After submitting your application, you will be contacted by our HR team to schedule an initial interview, subject to a positive CV screening. The first interview will focus on getting to know you, your background, and your career path, and will include a small number of light technical questions. If the outcome is positive, you will be invited to one or two technical interview rounds (depending on both your availability and the team's schedule), aimed at assessing your technical skills and problem solving approach. Following a successful technical evaluation, you will have a final conversation with members of the management team. At that stage, you will be ready to move forward and start your journey with Fogsphere.