Technical Engineer – QA & Solution Architecture

Singaporean Only

Job Title: Technical Engineer - QA & Solution Architecture

Job Overview

We are seeking a skilled and technically versatile Technical Engineer to support Quality Assurance (QA) and Solution Architecture (SA) responsibilities within a learning technology project deployed at the customer's site. The successful candidate will work closely with the operations, delivery, and customer teams to ensure the quality, stability, and architectural integrity of the platform and its integrations.

The role demands strong hands-on technical expertise, an eye for quality engineering, and the ability to design and review solution components in a structured, customer-facing environment. Familiarity with Artificial Intelligence (AI) technologies is a key prerequisite for this role.

Key Responsibilities

Quality Assurance (QA)

Design, develop, and execute test plans, test cases, and test scripts for functional, regression, integration, and performance testing

Perform system and user acceptance testing (UAT) in coordination with customer stakeholders and end users

Identify, document, and track defects through to resolution using standard issue-tracking tools

Validate system enhancements, patches, and releases prior to production deployment

Maintain QA documentation, test artefacts, and quality metrics

Drive continuous improvement in testing processes, tooling, and test coverage

Solution Architecture (SA)

Support the design and review of solution components, integrations, and system architectures for the learning technology platform

Provide technical guidance on platform configurations, API integrations, and infrastructure alignment

Analyse technical requirements and translate them into clear architectural specifications and design documentation

Collaborate with delivery teams, infrastructure teams, and vendors to validate technical solutions

Ensure architectural decisions comply with organisational standards, security policies, and governance requirements

Support technical onboarding, handover, and knowledge transfer activities

AI & Emerging Technologies

Apply knowledge of AI and machine learning concepts to evaluate, support, or enhance platform capabilities

Assess and advise on AI-powered features, tools, and integrations within the learning technology ecosystem

Stay current with developments in AI technologies relevant to the platform and propose practical applications

Stakeholder & Cross-Functional Collaboration

Liaise with customer stakeholders, project managers, and operations teams on technical quality and solution matters

Provide technical input during design reviews, change advisory processes, and operational readiness activities

Prepare and present technical reports, architecture diagrams, and QA summaries for project and management review

Qualifications & Experience

Bachelor's degree in Information Technology, Computer Science, Software Engineering, or a related discipline

At least 3-5 years of relevant experience in QA engineering, solution architecture, or a combined technical role

Hands-on experience with test automation frameworks and testing tools (e.g. Selenium, Postman, JMeter, or equivalent)

Experience with enterprise digital platforms, cloud-based systems, or Learning Management Systems (LMS)

Demonstrated experience in solution design, integration architecture, or technical documentation

Familiarity with AI technologies, machine learning platforms, or AI-enabled applications

Experience working in structured project delivery and governance environments

Certifications

Mandatory

ITIL Foundation Certification (or equivalent IT Service Management certification)

Relevant AI certification or demonstrated AI experience (e.g. Microsoft AI Fundamentals - AI-900, Google Cloud AI, AWS AI Practitioner, or equivalent)

Preferred / Good-to-Have

Microsoft Azure certification (e.g. Azure Fundamentals, Azure Developer, Azure Solutions Architect)

ISTQB Foundation or Advanced Level certification in software testing

Project management certifications such as PMP, PRINCE2, Agile, or Scrum

Learning Management System (LMS) platform certifications

Certified Solutions Architect credentials (e.g. AWS, Azure, GCP)

Competencies & Skills

Strong technical proficiency in QA methodologies, test design, and defect management

Sound understanding of solution architecture principles, integration patterns, and system design

Working knowledge of AI/ML concepts and their application in enterprise or learning technology environments

Good analytical, problem-solving, and critical-thinking capabilities

Strong communication skills with the ability to articulate technical concepts to non-technical stakeholders

Detail-oriented with a quality-first mindset

Ability to manage multiple tasks and priorities in a fast-paced, customer-facing environment

Proficiency in preparing technical documentation, architecture diagrams, and reports

Preferred Attributes

Experience in public sector, education, or large-scale digital transformation environments

Familiarity with ticketing and service management platforms (e.g. ServiceNow, Jira)

Understanding of DevOps practices, CI/CD pipelines, and release management

Experience with API management, middleware, or enterprise integration platforms

Understanding of governance, compliance, and audit processes

Ability to work both independently and collaboratively within cross-functional teams

#J-18808-Ljbffr