Lead AI & Data Quality Test Architect

QUESS SINGAPORE; Singapore; On-site; SGD 140,000 - 200,000; Full time

Job summary

QUESS SINGAPORE is seeking a Lead / Principal Test Development Engineer (Technology) to architect scalable test solutions for data-intensive, AI-driven, distributed systems in Singapore. The role combines technical leadership with hands-on implementation across test automation, performance engineering, and AI system validation.

The ideal candidate will drive quality frameworks, automate testing at scale, validate AI/ML models, and ensure reliability of large-scale production systems, with

Qualifications

• Bachelor's or higher in Automation Engineering Technology, Computer Science, Software Engineering, Information Systems, Data Engineering
• 10+ years of experience in software testing, quality engineering, or test development
• Working experience on e‑commerce platforms is mandatory
• Strong experience working onsite in China and Singapore is mandatory
• Proven experience testing large‑scale distributed systems and data platforms
• Strong background in AI/ML application testing and recommendation systems validation
• Extensive experience building automation frameworks from the ground up
• Experience leading major quality transformation initiatives
• Demonstrated success in high‑growth and technology‑driven environments
• AI recommendation systems and intelligent customer targeting platforms

Responsibilities

• Define and execute the organization's quality engineering and test technology roadmap
• Serve as the technical authority for test automation, performance engineering, AI system validation, and distributed systems testing
• Establish best practices, standards, and governance across software quality engineering initiatives
• Mentor test engineers and software development teams on modern testing methodologies and quality-driven development practices
• Lead cross‑functional quality initiatives involving Engineering, Data Science, Product Management, DevOps, and Infrastructure teams
• Design and execute test strategies for AI‑powered recommendation and decision‑making systems
• Validate machine learning models for accuracy, reliability, scalability, robustness, and fairness
• Build testing frameworks for recommendation engines, prediction models, ranking algorithms, and personalization systems
• Develop methodologies for data quality validation, model drift detection, algorithm benchmarking, and regression testing
• Establish monitoring and validation mechanisms for production AI services
• Design comprehensive test plans for large-scale distributed applications built on Hadoop, Spark, Flink, Kafka, Debezium, cloud-native data platforms
• Validate end-to-end data ingestion, transformation, processing, storage, and reporting pipelines
• Develop automated validation frameworks for data integrity, consistency, reconciliation, and lineage verification
• Ensure reliability and quality of real-time and batch processing systems
• Lead performance testing initiatives for enterprise-scale systems, APIs, data platforms, and microservices architectures
• Design and execute load, stress, endurance, scalability, and capacity testing programs
• Drive throughput optimization and latency reduction initiatives
• Develop performance test frameworks using Python, JMeter, K6, Grafana, InfluxDB, Prometheus
• Analyze bottlenecks and work with engineering teams to optimize architecture and infrastructure performance
• Architect and develop enterprise-level automated testing frameworks
• Build reusable automation platforms supporting UI, API, Integration, Data, Regression, End-to-End Testing
• Develop automation solutions using Python, Selenium, Behave, PyTest, CI/CD pipelines
• Promote BDD, TDD, and continuous testing practices
• Drive automation adoption to significantly reduce manual testing effort and improve release velocity
• Design and implement data validation frameworks
• Develop automated solutions to verify data completeness, accuracy, consistency, reconciliation, and regulatory reporting data
• Support QA for large-scale financial, taxation, compliance, and analytical data platforms
• Build synthetic data and data-mocking platforms to accelerate testing activities
• Lead root cause investigations for production incidents
• Establish preventive quality controls to eliminate recurring defects
• Drive defect prevention and continuous quality improvement
• Ensure production readiness through risk assessment, resilience validation, and operational testing
• Lead development of internal quality engineering platforms and productivity tools
• Build centralized solutions for test execution management, performance testing, test reporting, data generation, test environment orchestration
• Improve engineering efficiency through automation and self-service capabilities

Skills

Quality engineering

Test automation

Performance engineering

Big data

AI/ML validation

Distributed systems testing

Leadership

Mentoring

Automation strategy

Quality governance

Education

Bachelor's or higher in Automation Engineering Technology, Computer Science, Software Engineering, Information Systems, Data Engineering

Tools

Python

Selenium

Behave

PyTest

JMeter

K6

Grafana

Prometheus

Kafka

Docker

Kubernetes

Job description

QUESS SINGAPORE is seeking a Lead / Principal Test Development Engineer (Technology) to architect scalable test solutions for data-intensive, AI-driven, distributed systems in Singapore. The role combines technical leadership with hands-on implementation across test automation, performance engineering, and AI system validation.

The ideal candidate will drive quality frameworks, automate testing at scale, validate AI/ML models, and ensure reliability of large-scale production systems, with