15 часов назад
Quality Assurance
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Quality Assurance (Fintech): Building and maintaining QA infrastructure, regression testing systems, and automation suites for web, mobile, backend services, and data pipelines with an accent on test coverage, release quality, and production reliability. Focus on designing functional and non-functional test cases, validating APIs and data pipelines, troubleshooting production bugs, and improving QA processes across engineering and data science teams.
Location: Jakarta, Indonesia office
Company
develops fintech products and software services requiring reliable web, mobile, backend, and data platforms.
What you will do
- Design and execute test plans for product features, backend services, mobile applications, websites, and data pipelines.
- Develop and maintain automated testing suites and regression testing infrastructure.
- Review product requirements and engineering designs, providing feedback before implementation.
- Plan releases, identify dependencies and backward-compatibility risks, and verify release impact with machine learning and data science teams.
- Reproduce production bugs in staging, support troubleshooting, and improve test coverage and QA processes.
- Define testing procedures, estimate test effort, and review test cases created by other QA specialists.
Requirements
- Bachelor’s, master’s, or doctoral degree in Computer Science or an equivalent field.
- 3+ years of experience with manual and automated testing of web services and mobile applications.
- Strong knowledge of data structures, algorithms, computer science fundamentals, and white-box, black-box, and regression testing.
- Experience testing functional and non-functional requirements, with strong analytical, problem-solving, and troubleshooting skills.
- Proficiency with MySQL and scripting tools such as Bash or Python on Linux.
- Working knowledge of HTTP, web services, OAuth, RESTful APIs, CI tools such as Jenkins or Travis, and Git.
Culture & Benefits
- Collaborative work with product, design, engineering, machine learning, and data science teams.
- Team environment focused on humility, passion, self-motivation, communication, and attention to detail.
- Direct involvement in building quality into the software development lifecycle.
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