Junior Software Engineer (with SRE Influences)

Job description

About the Role As a Junior Software Engineer , you will play a key role in the development, testing, and reliability of Fogsphere’s AI platform . This role blends software engineering with elements of site reliability engineering (SRE) — giving you exposure not only to building robust software but also to ensuring its smooth, automated, and scalable deployment in production environments. You’ll start by supporting our engineering team with Python and JavaScript development , test automation , and CI/CD workflows on Azure , progressively expanding your scope toward infrastructure reliability , monitoring , and performance optimization . We are looking for brilliant, motivated, and curious individuals — those who love solving complex problems, learning new technologies, and taking ownership of both code and systems. This position is ideal for someone who enjoys coding but is equally passionate about automation, quality, and the reliability of the systems they help build. Key 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 , 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 — observability, monitoring, and automated recovery. Explore infrastructure-as-code , containerization (Docker, Kubernetes), and cloud-based automation. Required Skills & Qualifications 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 (Git) , and CI/CD basics . Curiosity for QA , DevOps , and reliability engineering practices. Strong attention to detail, analytical thinking , and problem-solving mindset . Good communication and collaboration skills in English. Nice-to-Have (or “Good to Grow Into”) Experience with testing libraries (pytest, unittest, mock, Playwright, MochaJS, …). 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 (e.g., Prometheus, Grafana), or infrastructure automation . Enthusiasm for learning , experimentation , and continuous improvement . 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. About Fogsphere 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.