• Analyzing current and past financial data and providing strategies to cut costs and increase revenue
• Leading the charge on market research plans to identify new opportunities
• Working with executives to implement marketing strategies and new opportunities
• Encouraging new and existing clients by creating and improving proposals
• Tracking expenses and maintaining the company budget
• Ensuring that the company meets revenue targets
• Providing training and mentoring to other members of the team
• Developing and pitching ideas for potential investors
  
  
  EA License No: 19C9611
  EA Personnel Reg No: R22108807 Liang Syeh Wei (Shevy)

Responsibilities

• Analyze and interpret data across varying levels of complexity, from preparation to advanced analytics.
• Design, build, and maintain KNIME workflows to automate routine data processing tasks.
• Leverage KNIME's AI-powered tools to streamline workflow creation and resolve analytical challenges.
• Integrate and clean data from multiple sources, including spreadsheets, databases, and cloud platforms.
• Visualize data using KNIME's interactive tools to extract insights and support decision-making.
• Develop reusable workflows, scripts, and analytical models for use across teams.
• Collaborate with business and technical teams to review, optimize, and enhance workflows.
• Document workflow processes, business logic, and solution designs for cross-team knowledge sharing.
• Deploy KNIME workflows as applications or REST APIs to deliver insights across the company.
• Automate reporting and analytics delivery for stakeholders.
• Ensure workflows are scalable, maintain high performance, and comply with data governance standards.
• Work closely with IT and data teams to ensure smooth adoption and usage of KNIME solutions.

Requirements

• Diploma or bachelor's degree in computer science, Information Systems, Statistics, Business Analytics, or related fields.
• 3–6 years of practical experience with KNIME Analytics Platform or strong familiarity with the tool.
• Basic knowledge of data analysis, ETL processes, and workflow automation.
• Exposure to SQL, Python, or other scripting languages is a plus.
• Strong analytical mindset, problem-solving skills, and attention to detail.
• Effective communication skills with both technical and non-technical stakeholders.
• Eagerness to learn new technologies, tools, and data automation approaches.
  
  EA License No: 19C9611
  EA Personnel Reg No: R22108807 Liang Syeh Wei (Shevy)

Responsibilities

• Architect and implement enterprise-grade QA frameworks covering functional, non-functional, performance, security, API, integration, data migration, AI/ML, mobile, accessibility, and IoT testing, aligned with industry standards and client-specific compliance requirements.
• Lead large-scale, multi-vendor testing programs with full accountability for delivery, including scope, schedule, cost, risk, and quality, leveraging predictive analytics, KPI dashboards, and data-driven governance models.
• Design and deploy AI/ML-driven test engineering solutions, including self-healing automation frameworks, intelligent test generation, and predictive defect analytics.
• Drive the adoption of modern QA practices, including shift-left and shift-right testing, chaos engineering, model-based testing (MBT), service virtualization, and continuous testing within DevOps pipelines.
• Integrate DevSecOps practices by embedding security testing (SAST, DAST, IAST), compliance validation, and container security into CI/CD workflows.
• Lead cloud-native and microservices testing strategies, including validation of Kubernetes-based deployments, serverless architectures, and distributed systems with event-driven design.
• Oversee performance engineering at scale, including workload modeling, capacity planning, and resilience testing for high-availability systems.
• Establish test data engineering practices, including synthetic data generation, masking, and secure data provisioning aligned with regulatory frameworks such as GDPR and HIPAA.
• Champion observability-driven testing by integrating monitoring tools (e.g., Prometheus, Grafana, ELK, OpenTelemetry) to enable real-time insights and proactive issue detection.
• Define and enforce enterprise test governance frameworks, ensuring audit readiness, regulatory compliance (ISO 27001, SOC 2), and SLA adherence.
• Lead automation framework engineering, enabling scalable, reusable, and parallelized test execution using tools such as Selenium Grid, Cypress, Playwright, and cloud-based testing platforms.
• Collaborate with stakeholders, including C-suite executives, product owners, architects, and PMOs, to define quality benchmarks, manage risks, and communicate program health.
• Manage and mentor globally distributed QA teams, driving capability development, workforce planning, and continuous upskilling across emerging technologies.
• Oversee vendor partnerships, managed services, and outsourcing models, ensuring delivery excellence and continuous improvement.
• Support pre-sales and solutioning activities by contributing to RFPs, technical proposals, and QA strategy design for new business opportunities.
• Stay ahead of industry trends by evaluating and adopting emerging technologies such as autonomous testing agents, AI-assisted QA, and digital twin–based testing environments.

Requirements

• 7–9 years of progressive experience in software testing, quality engineering, and program delivery, preferably within fintech, telecom, healthcare, insurance, or enterprise IT domains.
• Deep expertise in automation frameworks, API testing, performance engineering, security testing, and cloud-native QA practices.
• Strong experience in microservices and distributed systems testing, including event-driven architectures and message queue validation (e.g., Kafka, RabbitMQ).
• Proven track record of managing large-scale testing programs using Agile, Waterfall, and DevOps methodologies with measurable quality outcomes.
• Hands-on experience with:Automation tools: Selenium, Cypress, Playwright, AppiumCI/CD tools: Jenkins, GitLab, Azure DevOpsTest management platforms: Jira Xray, Zephyr, ALM, ServiceNowPerformance tools: JMeter, LoadRunner, Gatling
• Experience with Infrastructure as Code (IaC) tools such as Terraform or CloudFormation for environment provisioning.
• Strong knowledge of contract testing, service virtualization, and API validation frameworks (REST, GraphQL, gRPC).
• Expertise in predictive QA analytics, risk-based testing, and quality engineering maturity models (e.g., TMMi, CMMI).
• Demonstrated capability in regulatory compliance, audit readiness, and enterprise test governance.
• Exceptional leadership, communication, and stakeholder management skills, with the ability to influence senior leadership.
• Experience managing cross-cultural, globally distributed teams and driving large-scale training and mentoring initiatives.
• Relevant certifications such as PMP, ISTQB Advanced, DevOps, or cloud certifications (AWS/Azure/GCP) are highly desirable.
  
  EA License No: 19C9611
  EA Personnel Reg No: R22108807 Liang Syeh Wei (Shevy)