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Customer Engineer, AI, Google Cloud (Thai, English)

Google

This role partners with technical sales teams to differentiate Google Cloud for customers. The Customer Engineer acts as a technical expert to accelerate technical wins and adoption of specialized workloads. Responsibilities include writing code, developing prototypes, and demos to promote solutions. The position requires solving AI-centered customer issues and providing feedback to influence product development. The role blends sales skills with technical engagement to prove the value of the Google Cloud portfolio.

Technology Analyst

SimplifyNext

SimplifyNext is a Singapore-headquartered digital engineering firm with offices in Thailand and Malaysia. The Technology Analyst collaborates with consultants to address client challenges on complex projects. Responsibilities include engaging with subject matter experts to analyze business problems, gathering technical and operational requirements, assisting in architecture design, developing solutions on platforms like Microsoft and AWS, and conducting user acceptance testing. The role focuses on end-to-end technology consulting and implementation.

OutSystems Developer

SimplifyNext

SimplifyNext is a digital engineering firm specializing in agentic AI, application modernization, and intelligent automation. The OutSystems Developer will design and build enterprise-grade applications on OutSystems O11, including Reactive Web and Mobile solutions. Responsibilities include translating business requirements into technical designs, implementing integrations using REST/SOAP APIs, and contributing to CI/CD pipelines. The role also involves collaborating with the AI and automation practice to deliver AI-augmented workflows. Key qualifications include 7+ years of development experience with at least 4 years in OutSystems, solid understanding of application architecture, and Agile/Scrum experience.

Credit Solutions & System

SCG

This role involves developing financial applications and tools to support credit management and business requirements. The position requires analyzing existing systems and workflows to identify opportunities for process improvement. The candidate will develop and enhance Data, AI/ML, and Data Visualization solutions for credit analysis and strategic decision-making. Responsibilities include collaborating with business and IT teams to gather requirements, preparing system specifications, participating in testing, and monitoring project progress. The role also involves coordinating projects with multiple stakeholders and providing ongoing system support to ensure reliable operations.

Head of IT Quality Assurance Engineering

KKP (Kiatnakin Phatra Financial Group)

The Head of IT Quality Assurance Engineering leads the QA transformation for a major Thai bank, driving test automation and AI-driven testing across banking and financial services platforms. Responsibilities include defining QA strategy, scaling automation frameworks across web, mobile, and API layers, piloting AI/ML testing tools, overseeing non-functional testing, and ensuring compliance with financial regulations. The role reports to executive leadership on quality KPIs and SLAs while managing a team of QA engineers, leads, and vendor partners. Qualifications require 10+ years in QA with strong hands-on automation experience plus 5+ years in QA leadership, deep expertise in Banking/FinTech, and proficiency with Selenium, Cypress, Playwright, Appium, CI/CD, cloud, and performance testing tools. A bachelor's or master's in computer science or engineering is required, with enthusiasm for AI-driven testing practices.

Department Head of IT Quality Assurance Engineering

KKP (Kiatnakin Phatra Financial Group)

The Department Head of IT Quality Assurance Engineering at Kiatnakin Phatra Bank Public Company Limited leads the bank's QA transformation in Bangkok. Responsibilities include defining and executing the overall QA strategy toward a highly automated CI/CD model, scaling test automation frameworks across web, mobile, and API layers, piloting AI/ML testing tools, and overseeing non-functional testing such as performance, load, stress, and security testing. The role also manages compliance with financial regulations, reports quality KPIs to executive leadership, and leads a team of QA Engineers, QA Leads, and vendor partners. Candidates must have 10+ years of QA experience with a strong hands-on automation background plus 5+ years in QA leadership, and deep expertise in Banking, FinTech, or Financial Services. Required technical skills include automation tools such as Selenium, Cypress, Playwright, and Appium, along with APIs, CI/CD, cloud, and performance testing. A Bachelor's or Master's degree in computer science, Engineering, or equivalent is required.

AI Deployment Specialist (SPX Express) - Operations - Bangkok

Shopee

This role involves architecting and leading the deployment of AI-based applications and large language models (LLMs) across operational workflows. The specialist manages the full lifecycle of AI model integration, wrapping machine learning models into scalable APIs and integrating them into full-stack production systems. Responsibilities include designing automated CI/CD pipelines, managing infrastructure using Linux and containerization (Docker, Kubernetes), and implementing telemetry to monitor model performance and optimize systems to meet SLAs. The position requires collaborating with Data Scientists to transition models into production-ready code and with product teams to identify AI integration opportunities.