Overview
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 Engine
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
- Performance testing experience (e.g., JMeter, Locust).
- Familiarity with compliance frameworks (ISO 27001, SOC 2).
- Exposure to container ecosystems, IoT, or AI‑enabled tooling.
Other
- 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.
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