Production Quality Assurance Engineer

dtcpay is a MAS licensed payment service provider that bridges traditional finance and digital assets. We enable businesses to accept and make payments in both fiat and digital currencies, delivering secure, efficient, and seamless payment experiences across borders. As we expand globally, we are shaping the future of digital payments.

We are also recognised as one of Singapore’s Top 10 Startups in the LinkedIn Top Startups 2025 list, a reflection of our momentum and the exciting journey ahead for our team.

We are looking for a QA Support professional to provide day-to-day production issue support, perform initial issue triage, and maintain regression testing coverage across our business systems. You will work closely with Development, Product, Operations, Customer Service, and other internal teams to investigate production issues, assess their impact, and ensure they are followed through to resolution.

This role serves as an important first line of defence for issue verification and quality support. You will be expected to maintain a high level of accuracy and ownership when investigating issues, ensuring that root causes are properly verified before any conclusive findings are communicated to upstream stakeholders or external parties. The role also requires strong data security and compliance awareness, particularly when handling production data related to funds and transactions.

What You'll Do:

Production Issue Support and Initial Triage

• Provide day-to-day support for production-related issues, responding promptly to questions, incident reports, and anomalies raised by business and operational teams.
• Perform initial triage and analysis to identify the nature of production issues, such as system defects, configuration anomalies, data issues, or external channel-related issues.
• Assess the scope and potential business impact of issues and support the prioritisation of investigation and resolution activities.
• Escalate issues requiring further investigation to the relevant Development or technical teams and actively track progress through to resolution.
• Ensure that root causes and technical findings are properly verified before providing any conclusive response to upstream stakeholders or external parties.
• Clearly communicate when an issue remains under investigation and avoid presenting assumptions or preliminary findings as confirmed conclusions.
• Maintain accurate and traceable production issue records, including issue symptoms, investigation and triage steps, resolutions, and confirmed root causes.

Production Data Security and Compliance

• Follow strict data security and compliance requirements when investigating production issues.
• Ensure production data checks involving funds or transaction-related modules are conducted using authorised read-only access.
• Strictly adhere to applicable PII masking and data handling requirements when reviewing production information.
• Maintain appropriate confidentiality and security practices and escalate potential data access or compliance concerns promptly.

Regression Testing

• Execute scheduled regression testing across assigned business modules to ensure existing functionality continues to operate correctly following system releases and changes.
• Maintain and continuously improve the regression test case library, with a focus on core business flows, recurring issues, and scenarios related to historical defects.
• Review and update regression test cases as business processes and system functionality evolve.
• Work with QA and Senior QA team members to understand new feature changes and ensure relevant regression coverage is maintained.
• Document testing results, identify anomalies, and coordinate follow-up actions with relevant teams.

Cross-Functional Collaboration

• Work closely with Development teams by providing clear reproduction steps, relevant logs, supporting information, and business impact to facilitate efficient investigation and root-cause analysis.
• Collaborate with Operations, Customer Service, and other frontline teams to understand the urgency and business impact of production issues.
• Support effective prioritisation and coordination of production issues based on business impact and operational urgency.
• Participate in issue reviews and retrospectives to identify recurring problems, common root causes, and opportunities for process or system improvements.

AI Tool Application

• Use AI tools to support daily QA activities, including log analysis, initial anomaly categorisation, issue description drafting, regression test case enhancement, and summarising module changes.
• Apply AI-assisted insights to improve investigation and testing efficiency while maintaining appropriate professional judgment.
• Review and manually verify all AI-generated analysis, conclusions, and outputs before relying on them for decision-making or communication.
• Ensure AI-generated output is used as an assistive tool and does not replace human verification, particularly for production issues or information that may be communicated to other stakeholders.

Quality and Continuous Improvement

• Continuously develop knowledge of the company's business processes, products, and system architecture to improve production issue investigation and triage capabilities.
• Follow established QA standards and processes while maintaining awareness of recurring issues and historical defects.
• Feed insights from production incidents and recurring issues back into the regression test case library to strengthen future testing coverage.
• Identify opportunities to improve issue triage, regression testing, documentation, and cross-team collaboration processes.

What We're Looking For:

• At least 3 years of experience in Quality Assurance, Software Testing, Production Support, Application Support, or a related role.
• Experience in the fintech, payments, financial services, or a similarly regulated technology environment is an advantage.
• Strong analytical and problem-solving skills, with the ability to perform structured initial triage and distinguish between different types of production issues.
• Good logical thinking, attention to detail, and a strong sense of ownership when investigating and following up on issues.
• Ability to work effectively in a fast-paced environment and handle a reasonable level of urgency and production support pressure.
• Strong understanding of the importance of root-cause verification and the ability to communicate preliminary findings responsibly without presenting assumptions as confirmed conclusions.
• High awareness of data security, confidentiality, and compliance requirements, particularly when handling production data.
• Willingness and ability to strictly follow authorised read-only access, PII masking, and production data handling requirements.
• Experience maintaining or executing regression test cases, particularly for core business workflows and historical defect scenarios.
• Familiarity with defect and issue management tools such as Meegle, Jira, or similar platforms is an advantage.
• Comfortable using AI tools, such as Claude, Codex, or similar tools, to support daily work, with the discipline to independently review and verify all AI-generated output.
• Good communication and collaboration skills, with the ability to work effectively with Development, QA, Operations, Customer Service, and other cross-functional teams.
• Fluent in English and Mandarin (spoken and written), with the ability to communicate effectively and handle work-related documentation in both languages.
• The role is based fully onsite, requiring your presence in the office.