HyunJu Noh

QA Engineer with nearly 3 years of hands-on experience in software quality assurance for medical devices and real-time SaaS-based monitoring platforms. Proven ability to lead end-to-end QA processes for native mobile apps (iOS/Android) and web services, including functional testing, release verification, and test automation setup. Adept at managing short-cycle releases and hotfixes across multiple services simultaneously, while ensuring consistent service quality and reliability.

Core competencies include:

• Native app QA on iOS and Android platforms
• QA for multi-platform SaaS services (APM, DPM, SMS)
• Test case design and documentation using Notion
• Issue tracking and risk management via Redmine and Jira
• Initial setup of test automation with Playwright (Python)
• End-to-end QA setup for new service launches and stabilization
• Experience handling high-frequency deployments and Hotfixes cycles across 3 services within 6 months
• Background in software & hardware integration with Python and C++
• Academic foundation in software engineering, network systems, and wireless communication

ISTQB Certified Tester – Foundation Level (CTFL) , KSTQB

Customer VOC Data Analysis & Reporting

• Collected and analyzed customer feedback data from the Crisp communication channel.
• Built a structured VOC dashboard in Notion, organizing customer input into filterable, column-based tables.
• Generated visual statistical charts (e.g., issue type ratios, platform breakdowns) and extracted insights to drive monthly quality improvement directions.
• Shared summarized reports and key takeaways regularly across departments via Slack for increased awareness and transparency.

Test Automation Framework Development

• Designed test scenarios and test cases for automation target features; applied a Page Object Model structure.
• Developed and maintained automated UI test scripts using Python and Playwright.
• Verified functional stability of all menus across browsers (Chrome, Firefox, Safari) including Account features such as login, signup, and withdrawal.
• Integrated pytest-playwright for HTML test reporting and applied TestRail for test case management.
• Implemented full-function test automation for Server projects, validating component-level UI elements like widget charts and interactive buttons.

Service Outage Reporting & Incident Management

• Established an internal Notion-based reporting channel for real-time incident updates during service disruptions.
• Logged root causes and status updates across teams and shared information with customer-facing stakeholders.
• Managed Jira-based incident tickets to ensure traceability, resolution planning, and weekly cross-functional reviews.
• Maintained quarterly Top 10 outage reports per Yard server, including visual breakdowns by product, impact time (sec), and root cause classification.
• Created historical dashboards to visualize trends in outages by type, cause, frequency, and SLA impact.

Quality Process Implementation & Improvement

• Standardized project Jira workflows across the company, introducing new schemes for development (Task/Epic/Improvement) and bug tracking (Bug).
• Redesigned the hotfix release process by launching a centralized tracking channel and custom request templates.
• Initiated a monthly release freeze and sharing process to solve gaps in pre-release communication.
• Introduced issue lifecycle documentation for critical tickets to enhance traceability and support historical audits.

Professional Training

• ICAgile Certified Professional – Agile Fundamentals , STA Education Center — Dec 2023
  Participated in hands-on Agile training focused on foundational knowledge of software testing and Agile principles. Gained a practical understanding of Scrum methodology and the concept of Being Agile to apply Agile practices to real-world projects in small team environments.
• Introductory R Data Analysis for Non-Majors , Alice Education — Sep 2022 to Nov 2022
  Completed a full-cycle data analysis course covering R programming, data preprocessing, analysis, and visualization. Conducted a text mining project using word cloud techniques based on statistical libraries.

Awards

• Smart Living Lab IoT Hackathon , KwangWoon Univ — Dec 2022
• Proposed and developed a solution addressing illegal trash dumping and pet abandonment around clothing collection bins using Python, Raspberry Pi, and Arduino. Designed a dual system that combined facial recognition for lid access control and motion detection for activity monitoring. / Excellence Award