Mid-Level QA Engineer

QA Software Tester - Mid Level

Salary - £50k to £60k

Weekly travel to UK office in Basingstoke, Hampshire

Our client provides an enterprise-grade software platform for managing, monitoring, controlling, and automating connected workspaces. You will be part of a small QA Test Team working on their SaaS platform that the is used by their Global Blue-chip clients.

You will be a part of a fast-paced team of self‑starters that are excited to challenge the emerging technology space around near real-time remote management platform capabilities for global devices (i.e. AV, BMS, IoT) at scale. This role is a fantastic opportunity to grow your knowledge and skill sets with a talented team of thought leaders, sales leaders, engineers, and marketers.

JOB DESCRIPTION:

The Quality Assurance Engineer will help develop, plan, manage, and execute test plans for all software products. You will be responsible for helping to produce robust, high-quality software using your technical experience, attention to detail, and close collaboration with your engineering partners and QA peers.

This role requires a strong understanding of functional, integration, system, and automated testing within a distributed SaaS environment. The ideal candidate is curious, technically capable, detail-oriented, and interested in leveraging modern AI‑assisted tools and workflows to improve software quality, test coverage, and team efficiency.

TECHNICAL ENVIRONMENT & SCOPE:

• Test distributed SaaS platform components across cloud-hosted and client-installed environments.
• Perform end-to-end testing across web applications, backend services, APIs, databases, and device integrations.
• Test client‑side or on‑premise applications, including installation, configuration, upgrade paths, service validation, permissions, environment dependencies, and connectivity to cloud-hosted services.
• Validate integrations across APIs, Webhooks, third‑party systems, and connected platform components.
• Validate alerting, telemetry, reporting, and event‑driven workflows across multiple system components.
• Support testing efforts involving scalability, reliability, system behavior, and performance validation.
• Collaborate closely with engineering teams operating within Agile development environments.

JOB RESPONSIBILITIES:

• Develop test cases and test plans based on requirements, specifications, engineering input, and collaboration with QA peers.
• Identify opportunities for automation and develop or maintain automated test coverage across UI, API, and integration testing layers using tools such as SmartBear TestComplete.
• Execute and manage functional, integration, regression, and system testing efforts while communicating progress, risks, and blockers.
• Configure and maintain test environments, servers, integrations, and test data required for execution.
• Perform hands‑on integration testing in the Basingstoke office, including setting up testing environments, configuring devices, and validating software behavior with physical hardware.
• Help diagnose defects, identify probable root causes, and collaborate with engineering, Product and business teams to prioritize and validate resolutions.
• Validate end‑to‑end workflows and system behavior across multiple interconnected services and components.
• Assist with API, integration, backend data validation, and CI/CD testing initiatives where applicable.
• Identify, track, analyze, and report testing and quality KPI trends throughout the SDLC and release lifecycle.
• Help mature the QA SDLC by contributing ideas for improving processes, automation, efficiency, and communication.

AI‑AUGMENTED QA & INNOVATION:

• Leverage AI‑assisted development and testing tools (e.g., GitHub Copilot or similar technologies) to improve QA workflows, efficiency, and test coverage.
• Experiment with AI‑driven approaches for generating functional, integration, and edge‑case test scenarios from requirements, specifications, APIs, and codebases.
• Use AI tools to accelerate test case creation, test data generation, defect investigation, and automation development.
• Help identify opportunities where AI can improve release quality, regression testing, and QA productivity.
• Contribute ideas and best practices for incorporating AI‑assisted workflows into the SDLC and QA processes.

JOB QUALIFICATIONS:

• Degree in Computer Science, Engineering, or related technical field, or equivalent professional experience.
• 4–7 years of experience developing, planning, and executing testing for complex software applications.
• 2+ years of experience developing, maintaining, or executing automated testing solutions for complex software application with hands‑on experience with automated testing tools and scripting languages such as Python or similar technologies.
• Experience with functional, integration, regression, and system testing methodologies and best practices.
• Experience testing APIs, integrations, distributed systems, or client-installed software applications preferred.
• Familiarity with Agile methodologies including Scrum and Kanban.
• Strong analytical, troubleshooting, and problem‑solving skills.
• Excellent verbal and written communication skills.
• Ability to work independently while collaborating effectively within cross‑functional engineering teams.

OTHER QUALIFICATIONS:

• Experience with SmartBear TestComplete and other automation tools preferred.
• Experience testing desktop and web applications preferred.
• Experience with API testing tools such as Postman or Swagger/OpenAPI preferred.
• Development experience or familiarity with C# preferred.
• Familiarity with cloud-hosted applications and distributed system architectures preferred.
• Experience using AI‑assisted development or testing tools in real‑world workflows preferred.
• Excellent organizational skills, attention to detail, and time management skills.
• Proficient with Microsoft Office Suite or related software.

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