Lead QA Engineer – Video Analytics & Systems

NCS; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

NCS is seeking a Functional Testing Engineer in Singapore to ensure quality across video analytics and video management platforms. You will validate features and system integrations, develop test cases, and analyze results across the SDLC.

You will work with development and product teams, employing Java or Python for scripting, and leverage SQL for data validation. The role requires strong QA methodologies, white-box and black-box testing, and automation skills.

Qualifications

• Solid programming knowledge in Java or Python with testing context.
• Strong understanding of QA methodologies and testing lifecycle.
• Experience with both white-box and black-box testing and automated tests.
• Experience with microservices architecture and distributed systems; cloud familiarity.
• Proactive troubleshooting and root-cause analysis capabilities.

Responsibilities

• Mentor junior QA engineers and manage resources to ensure quality delivery.
• Define test strategy and test plans aligned with software development plans.
• Lead test execution and development of artefacts (plans, scripts, reports).
• Evaluate system interfaces and performance requirements with product teams.
• Define test methods and test plans for new/updated software to meet requirements.

Skills

Programming knowledge

QA methodologies

White-box/Black-box testing

Automation testing

Distributed systems

Cloud platforms

Root-cause analysis

Leadership & communication

Selenium

OpenCV/FFmpeg (nice-to-have)

Tools

Docker

Kubernetes

Linux

Job description

NCS is seeking a Functional Testing Engineer in Singapore to ensure quality across video analytics and video management platforms. You will validate features and system integrations, develop test cases, and analyze results across the SDLC.

You will work with development and product teams, employing Java or Python for scripting, and leverage SQL for data validation. The role requires strong QA methodologies, white-box and black-box testing, and automation skills.