ISTQB CTFL-certified junior QA/Test Engineer with hands-on software development experience and a background in translation, technical communication, and audio technology.

I build and test software with a focus on reliability, testability, and clear documentation. My projects combine structured QA practice, automation, backend development, and audio-focused validation work.

🎯 Open to: QA Engineer • Test Automation Engineer • Software Engineer • Audio QA Engineer

📍 Based in Germany • Open to roles across Europe

🗣 Languages:
English (native) • German, Spanish (professional) • French, Swedish (intermediate)

Cross-platform hardware/software validation project for the Focusrite Scarlett 2i2 audio interface.

This project demonstrates professional QA practice through structured test planning, risk-based testing, traceability, test execution, evidence collection, and final reporting across Windows and Linux environments.

Validation Areas:

• Device detection and driver/backend configuration
• Recording and playback workflows
• Sample rate and buffer size behaviour
• Reliability, stability, and reconnect recovery
• Cross-platform compatibility
• System log analysis
• Risk analysis and requirements traceability

Platforms:

• Windows 11, REAPER, ASIO
• Ubuntu Linux, Ardour, JACK/PipeWire

Documentation:

• Test Plan
• Test Strategy
• Risk Analysis
• Environment Documentation
• Test Cases
• Traceability Matrix
• Test Execution Results
• Final Test Summary Report

QA Focus: Manual Testing, Hardware Validation, Audio QA, Cross-Platform Testing, Risk-Based Testing, Test Documentation

Full-stack MERN application built with a strong emphasis on reliability, testability, and automated regression coverage.

Engineering:

• REST API design and authentication
• CRUD operations and state management
• Layered frontend/backend architecture
• CI-backed development workflow

Testing & QA:

• Backend integration testing
• Frontend component testing
• End-to-end testing
• API validation and failure-mode testing
• Automated regression coverage across multiple layers

Tech: MongoDB, Express, React, Node.js, JavaScript, TypeScript
Testing: Jest, Supertest, React Testing Library, MSW, Playwright
CI: GitHub Actions

Python-based framework for automated audio quality validation, QA workflows, and audio analysis.

Designed to demonstrate audio QA principles through automated validation, synthetic test data generation, CI-integrated testing, and structured QA documentation.

Features:

• WAV file validation
• Sample rate and channel validation
• Peak level analysis
• Clipping detection
• Start/end silence detection
• Synthetic audio fixture generation
• Automated regression testing
• GitHub Actions CI

Tech: Python, NumPy, SoundFile, Typer, Rich
Testing: pytest
CI: GitHub Actions

Java Spring Boot and PostgreSQL REST API for chess game import and player statistics.

Built to explore backend architecture, data modelling, API design, and QA-focused development workflows.

Focus Areas:

• Layered architecture
• Relational data modelling
• Service-layer design
• SQL validation
• Integration testing
• Incremental versioned releases

Tech: Java, Spring Boot, PostgreSQL, Maven
Testing: API and integration testing

Curated QA artefacts demonstrating an ISTQB-aligned approach to software quality.

Includes:

• Risk-based test planning
• Test design techniques: equivalence partitioning, boundary value analysis, negative testing
• Requirements traceability
• Defect reporting
• Exploratory testing
• Regression planning
• Test documentation linked to real software projects

• Risk-based testing and prioritisation
• Manual, API, integration, regression, and system testing
• Test automation and CI-integrated quality workflows
• Exploratory testing and defect investigation
• Test design techniques: EP, BVA, negative testing
• Requirements traceability and documentation
• Structured defect reporting
• Root cause analysis and failure investigation
• Practical application of ISTQB principles

Languages: Python, Java, JavaScript, TypeScript, SQL, C++
Backend: REST APIs, Spring Boot, Node.js, Express, authentication, data validation
Databases: PostgreSQL, MongoDB
Testing: pytest, Playwright, Jest, Supertest, React Testing Library, MSW, Postman
Tools: Git, GitHub, GitHub Actions, Docker, Maven, Linux

• Audio QA and audio software testing
• Test automation and CI/CD workflows
• Python-based audio analysis tooling
• Audio DSP fundamentals and signal processing
• Strengthening C++ for low-level systems and performance-focused development

• Structured, analytical, and evidence-driven
• Focused on reliability, reproducibility, and clear documentation
• Comfortable working from specifications and acceptance criteria
• Strong technical communicator with a background in translation
• Pragmatic, curious, and collaborative

📧 Email: joshua-pearson@outlook.com
🔗 LinkedIn: linkedin.com/in/joshua-pearson-qa