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Fogsphere

Industrial edge AI for real-time operations

Junior Software Engineer - With Site Reliability Engineering Influences

Software EngineeringUpdated on Nov 14
Full-timeLondon, UKNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
  • Basic to intermediate knowledge of Python and JavaScript programming.
  • Understanding of software testing principles, version control with Git, and CI/CD basics.
  • Curiosity about QA, DevOps, and reliability engineering practices.
  • Strong attention to detail, analytical thinking, and problem-solving ability.
  • Good communication and collaboration skills in English.

Responsibilities

  • Develop and maintain small Python and JavaScript modules supporting internal tools, workflows, and production systems.
  • Design, write, and execute unit and integration tests using frameworks such as pytest, unittest, and Playwright.
  • Support test data preparation, validation scripts, and backend service testing.
  • Assist in automating CI/CD pipelines on Azure, improving build and deployment reliability.
  • Collaborate with Software, QA, and SRE Engineers to identify, reproduce, and document bugs and performance issues.
  • Participate in code reviews and contribute to improving code quality, testing coverage, and deployment stability.
  • Learn and apply DevOps and SRE principles, including observability, monitoring, and automated recovery.
  • Explore infrastructure-as-code, containerization with Docker and Kubernetes, and cloud-based automation.

Desired Qualifications

  • Experience with testing libraries such as pytest, unittest, mock, and Playwright, or similar tools.
  • Exposure to REST API testing, Selenium, or other automation tools.
  • Familiarity with Azure DevOps, Docker, Linux environments, or cloud-based CI/CD systems.
  • Interest in site reliability, monitoring tools such as Prometheus and Grafana, or infrastructure automation.

About the Company

Fogsphere

Industrial edge AI for real-time operations

Fogsphere provides an edge-first Physical AI Operating System that turns passive cameras, IoT sensors, and operational data into real-time intelligence for safety, security, and operational excellence. The platform combines computer vision, Visual Language Models, IoT telemetry, low-code automation, digital twins, dashboards, case management, and enterprise integrations to detect risks, understand context, trigger workflows, and generate auditable insights at the edge on sites, facilities, and distributed operations. It is designed for demanding industrial environments, prioritizing low latency, centralized governance, privacy, and extensibility. Fogsphere supports hundreds of safety, security, and operations use cases across industries and partners with NVIDIA Metropolis and Inception for large-scale deployments. Its goal is to help enterprises perceive, reason, and act in real time to move from reactive supervision to proactive, AI-powered operations.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
London, United Kingdom
Founded
2021

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