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Job type:

Full-time

• This role serves as a key bridge between Business Units, IT application teams, and senior stakeholders, resolving cross-functional challenges and aligning diverse priorities toward a unified enterprise solution.
• The position requires strong expertise in designing high-performance, scalable systems capable of supporting millions of transactions per day, while balancing business timelines, architectural standards, and operational constraints.
• Key Responsibilities- Lead enterprise-wide solution architecture aligned with busine ...
• Design scalable, secure, high-availability systems supporting millions of transactions per day.
• Bridge Business Units, IT teams, and stakeholders with conflicting priorities or KPIs.
• Drive As-Is analysis and lead transformation to To-Be architecture.
• Develop architecture artifacts (HLD, workflows, sequence diagrams, use cases, etc.).
• Define and enforce non-functional requirements (performance, scalability, security).
• Present solutions via Architecture Review Board (ARB).
• Ensure compliance with security frameworks, data governance, and regulatory requirements.
• Define transition strategies (phased vs. big bang) and recommend architecture trade-offs.
• Identify risks, constraints, and ensure alignment across application owners.
• Ensure the implementation/development align with architecture design that get approval.
• Qualifications & Experience- Bachelor s or Master s degree in IT, Computer Science, Engineering, or related field.
• 12-18+ years of IT experience with strong Solution/Enterprise Architecture/IT Application Owner background.
• Experience in banking, financial services, or high-volume transaction systems.
• Proven track record designing large-scale, real-time systems.
• Experience working with cross-functional stakeholders and senior leadership.
• Technical Skills- Architecture & Integration: TOGAF, Microservices, API, Event-driven architecture.
• Integration Platform: Kafka, IBM MQ, ESB, API Gateway.
• System Design: High availability, scalability, performance tuning.
• Security: SSO, OAuth2, SAML, JWT/JWE, data protection standards.
• Cloud & Infrastructure: AWS/Azure/GCP, Kubernetes/OpenShift, hybrid architecture.
• Modeling Tools: UML, sequence diagrams, architecture design tools.
• Soft Skills- Ability to work under pressure and manage multiple high-priority projects efficiently.
• Exceptional stakeholder management and communication skills, bridging the gap between business and IT teams.
• Strong problem-solving abilities, designing innovative solutions that align with business goals.
• Expertise in facilitating discussions with BAs, enterprise architects, and domain experts to drive solution decisions.
• Experience in presenting complex IT solutions to senior executives and technical committees.
• Leadership skills to oversee internal and external collaborations, ensuring successful solution delivery.

Skills:

Assurance, Automation, GraphQL

Job type:

Full-time

• Define and implement QA strategy, processes, and metrics to improve product quality and testing efficiency.
• Establish and maintain standards for API testing, automated testing, and regression coverage.
• Drive continuous improvement in test automation, CI/CD pipelines, and QA practices.
• Leadership & People Management.
• Manage and mentor a team of 13 QA engineers (manual + automation).
• Assign resources, set priorities, and monitor progress to meet project timelines.
• Conduct performance reviews, coaching, and career development planning.
• Test Execution & Automation.
• Oversee test planning, execution, and reporting across functional, regression, performance, and security testing.
• Ensure strong coverage of API testing (REST/GraphQL), automation frameworks (e.g., Selenium, Cypress, Postman, Playwright, JMeter).
• Collaborate with DevOps and Engineering teams to integrate automated tests into CI/CD pipelines.
• Collaboration & Stakeholder Management.
• Work closely with Product Managers, Developers, and Business Analysts to understand requirements and translate into test strategies.
• Communicate quality status, risks, and issues effectively to senior management.
• Advocate for quality standards across the organization.
• Bachelor s degree in Computer Science, Engineering, or related field.
• 8+ years experience in QA, with at least 3+ years in a leadership/manager role.
• Strong experience in API testing and automation frameworks..
• Hands-on experience with tools such as Postman, JMeter, Selenium, Cypress, Playwright, RestAssured..
• Knowledge of CI/CD pipelines and tools (e.g., Jenkins, GitLab CI, GitHub Actions).
• Excellent leadership, people management, and communication skills.
• Experience in performance testing, security testing, and cloud-based environments (AWS, Azure, GCP).
• Exposure to Agile/Scrum methodologies.
• ISTQB or similar QA certifications.
• Strong analytical and problem-solving skills.
• Ability to manage multiple projects and priorities.
• Coaching and mentoring mindset.
• Quality-driven and detail-oriented.
• Please note that we will get in touch with shortlisted candidates only.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer).
• LINKEDIN: Krungsri (http://bit.ly/LinkedinKrungsri).
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN.
• (https://krungsri.com/b/privacynoticeen).
• The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.

Skills:

Automation, Big Data

Job type:

Full-time

• Define & Implement Data Strategy: Formulate, communicate, and execute the overall data strategy, ensuring its alignment with the bank's business objectives and regulatory requirements.
• Establish Data Governance: Lead the Data Governance Council (DGC) to define and enforce data governance policies, standards, and procedures. This encompasses ensuring data quality, security, privacy, and compliance with regulations like the Personal Data Protection Act (PDPA) and Bank of Thailand (BOT) guidelines across the entire org ...
• Drive Data Analytics & AI/ML Innovation: Oversee the strategic direction and execution of data architecture, data engineering, data analytics, and data science functions. You will spearhead the development and deployment of advanced AI/ML models for critical banking functions such as credit scoring, customer segmentation, marketing automation, and fraud detection.
• Manage Data Platforms & Infrastructure: Guide the deployment and localization of scalable, cloud-native data platforms (e.g., WeBank s WeDataSphere) and the design of standardized APIs to ensure seamless data sharing and integration capabilities.
• Champion Open Banking & Data Sharing: Drive the adoption and effective utilization of open banking data frameworks, establishing consent-based data sharing mechanisms to enhance customer experience and foster healthy market competition.
• Foster Data Culture & Collaboration: Cultivate a strong data-driven mindset and promote ethical data use across all departments. You will lead the Data Center of Excellence (CoE), functioning as a catalyst for cross-departmental collaboration on high-impact data projects that align with the strategic objectives.
• Talent Development & Knowledge Transfer: Collaborate with the Human Resources department to uplift and train Thai nationals in advanced data capabilities, facilitating crucial knowledge transfer from international consortium partners such as WeBank and KakaoBank.
• Data Monetization: Develop and implement sustainable strategies for data monetization while rigorously upholding ethical standards and ensuring customer trust.
• Extensive Leadership Experience: A proven track record (10+ years preferred) in senior data management, data analytics, and AI/ML leadership roles, with substantial experience in the banking, digital finance, or fintech industry, ideally within a virtual bank environment.
• Deep Technical Expertise: Profound understanding and practical experience with Big Data technologies, AI/ML methodologies, data architecture design, and comprehensive data governance frameworks.
• Regulatory & Security Acumen: Solid knowledge of data privacy regulations (e.g., PDPA) and cybersecurity best practices specifically pertaining to data handling within a financial services context.
• Strategic & Analytical Mindset: Demonstrated ability to translate complex data into actionable insights and drive strategic initiatives that significantly contribute to business growth and innovation.
• Exceptional Leadership & Collaboration Skills: Outstanding capability to lead multidisciplinary teams, influence stakeholders at all levels, and foster effective cross-functional collaboration, including working seamlessly with international consortium partners.

Skills:

ETL

Job type:

Full-time

• Design and deliver cloud-native banking solutions on AWS.
• Build rapid prototypes and live demos for client engagements.
• Integrate AI and data capabilities into core banking platforms.
• The ideal candidate combines strong engineering depth, banking domain expertise, and the ability to translate ideas into working solutions quickly.
• Core Banking Transformation.
• Lending / loan origination and servicing.
• Credit decisioning systems.
• Payments, deposits, and investment platforms.
• Legacy cloud-native (rehost, replatform, refactor).
• Monolith microservices / event-driven architecture.
• Translate business requirements into scalable, secure, production-ready architectures.
• Client-Facing Demo & Prototyping (Critical Requirement).
• Build end-to-end functional prototypes and demos on AWS to showcase solutions.
• Working applications.
• API-driven services.
• AI/data-driven proof-of-value solutions.
• Solution workshops.
• Pre-sales discussions.
• Live demo sessions with business and technology stakeholders.
• Expected capability: Build a working demo (e.g., AI-powered credit workflow or customer 360 solution) within short timelines.
• AWS Cloud Engineering (Hands-on Senior Level).
• Architecture & Design.
• Microservices and event-driven patterns.
• API-first integration models.
• High availability, scalability, and resiliency.
• Security and regulatory compliance.
• Core AWS Stack.
• Compute: Lambda, ECS/EKS, EC2.
• Data: S3, Aurora/RDS, DynamoDB.
• Integration: API Gateway, Step Functions, EventBridge.
• Observability: CloudWatch and monitoring frameworks.
• DevOps & Automation.
• Infrastructure-as-Code (Terraform / CloudFormation / CDK).
• CI/CD pipelines and automated deployment.
• Ability to stand up environments quickly for demos and delivery.
• AI & Data Capabilities in Banking (Strong Preference).
• Data Engineering.
• Data lakes (S3-based architectures).
• ETL / ELT pipelines.
• Customer, transaction, credit, and risk datasets.
• Machine Learning & Analytics.
• Credit scoring and underwriting.
• Fraud detection / AML.
• Customer segmentation and personalization.
• GenAI & Modern AI.
• RAG-based solutions (e.g., document processing, KYC).
• AI assistants for banking users.
• AWS Bedrock / SageMaker / equivalent.
• LLM orchestration and vector search.
• Real-Time Decisioning.
• Real-time credit approvals.
• Fraud detection and alerts.
• Client Engagement & Thought Leadership.
• Act as a trusted technical advisor to financial services clients.
• Architecture discussions.
• Solution design workshops.
• Pre-sales and technical solutioning.
• Core banking modernization.
• Cloud + AI transformation.
• Bridge business, data, and technology stakeholders effectively.
• Banking technology / financial services IT.
• Core banking systems (lending, payments, deposits, investments).
• Core banking modernization or migration programs.
• Large-scale transformation initiatives.
• Cloud-native architecture and development.
• Microservices / distributed systems.
• Strong hands-on programming experience in Python (preferred), with the ability to build cloud-native applications, data pipelines, and rapid client-facing prototypes.
• Build working demos / PoCs under time pressure.
• Operate effectively in client-facing roles..
• Preferred Qualifications.
• Temenos, Mambu, Finacle, FLEXCUBE, nCino.
• Data engineering and analytics platforms.
• ML / GenAI use cases integrated into business workflows.
• Event-driven architecture.
• API-first ecosystems.
• Domain-driven design (DDD).
• AWS Certifications (Associate / Professional).
• Profile We Are Targeting.
• Hands-on builder (not a pure architect or program manager).
• Able to design, build, and demo solutions live to clients.
• Strong banking domain credibility.
• Bridges cloud + core banking + AI/data.
• Comfortable in pre-sales + delivery hybrid environments..

Experience:

1 year required

Skills:

Negotiation, Project Management, Sales, English

Job type:

Full-time

• Act as a technical partner in consultative selling, translating client requirements into scalable and practical solutions.
• Gather and analyze requirements from enterprise and government clients.
• Collaborate with Solution and Architecture teams to design end-to-end solutions.
• Prepare Terms of Reference (TOR), technical proposals, and supporting documentation for project bidding and presentations.
• Present and explain solutions to clients, both technical and non-technical stakeholders.
• Support end-to-end bidding processes, especially for government (B2G) projects.
• Coordinate with vendors, partners, and internal teams to ensure solution alignment and project readiness.
• Work closely with Sales and Business Development teams to drive deal success.
• Bachelor s degree in Engineering, Computer Science, IT, or related fields.
• 1-2 years of experience in Presales, Solution Design, or Technical Consulting.
• Solid understanding of Application, Cloud, Security, and System Integration.
• Exposure to government bidding processes (B2G) is a plus.
• Strong communication and presentation skills, with the ability to simplify complex technical concepts.
• Analytical mindset with the ability to interpret requirements and translate them into solutions.
• Proactive, adaptable, and comfortable working in a fast-paced environment.
• Preferred Qualifications.
• Basic understanding of B2G sales cycles, government procurement, and TOR analysis.
• Experience working with cross-functional teams in project-based environments.
• Why Join Us .
• Be part of high-impact projects in Deep Tech.
• Gain hands-on experience in end-to-end solutioning and bidding processes.
• Work in a fast-growing, innovation-driven environment.
• Opportunity to grow into Solution Consultant / Presales Specialist.
• Warehouse 26
• BTS Phrom Phong.
• MRT Queen Sirikit National Convention Centre..

Skills:

SQL, Oracle, Data Warehousing

Job type:

Full-time

• Bachelor s degree in computer science, Information Systems, Engineering, or a related field.
• At least 3 years of experience as a Data Engineer or in a related role.
• Hands-on experience with SQL, database management (e.g., Oracle, SQL Server, PostgreSQL), and data warehousing concepts.
• Experience with ETL/ELT tools such as Talend, Apache NiFi, or similar.
• Proficiency in programming languages like Python, Java, or Scala for data manipulation and automation.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of big data technologies such as Hadoop, Spark, or Kafka.
• Strong understanding of data governance, security, and privacy frameworks in a financial services context.
• Excellent problem-solving skills and attention to detail.
• Banking or financial services industry experience, especially in retail or wholesale banking data solutions.
• Certification in cloud platforms (e.g., AWS Certified Data Engineer, Microsoft Azure Data Engineer, Google Professional Data Engineer).
• Contact: K.Chalida 08-------993.
• You have read and reviewed Krung Thai Bank Public Company Limited's Privacy Policy at https://krungthai.com/th/content/privacy-policy. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with.

Skills:

ETL, Compliance, SQL

Job type:

Full-time

• Design, implement, and manage end-to-end data pipelines architectures.
• Configure and maintain data ingest workflows (ETL) across several production systems.
• Transform data into Data Mart, Data Model that can be easily analyzed.
• Ensure data accuracy, high usability, timely availability, and strong performance.
• Demonstrate a hands-on development mindset with a willingness to troubleshoot and solve complex problems.
• Ensure compliance with data governance and security policies.
• Minimum of 3 years of work experience as a Data Engineer.
• Strong SQL skills with knowledge of NoSQL tools and languages.
• Strong proficiency in Python scripting.
• Experience with AWS Cloud Data Platform services such as S3, Redshift, Glue, Step Functions, and Lambda.
• Experience with other cloud data platforms such as GCP or Azure is an advantage.
• Experience working on Big Data platform is an advantage.
• Strong business understanding, with the ability to identify business problems, define business goals, and locate relevant data.

Skills:

English

Job type:

Full-time

• Define and lead end-to-end AI architecture for enterprise programs from LLM / GenAI solutions to MLOps platforms and data foundations.
• Serve as the primary AI technology advisor to C-suite and senior client stakeholders, translating business challenges into scalable AI solutions.
• Architect AI systems leveraging hyperscaler platforms (AWS, Azure, GCP) including cloud-native AI/ML services, vector databases, and foundation model APIs.
• Lead technical pre-sales: shape proposals, respond to RFPs, and present solution architectures to clients.
• Manage and mentor a team of AI engineers, data scientists, and solution architects across client engagements.
• Drive practice development define AI delivery frameworks, reusable assets, and capability-building programs.
• Collaborate with Accenture global AI CoEs, Applied Intelligence teams, and alliance partners.
• Ensure responsible AI principles, security, and governance are embedded throughout solution design.
• 12+ years of experience in technology consulting or enterprise IT, with at least 5 years focused on AI/ML architecture and delivery.
• Proven track record architecting and delivering production-grade AI solutions LLMs, RAG pipelines, agentic AI, computer vision, or predictive analytics.
• Deep hands-on knowledge of AI/ML frameworks.
• Strong experience with hyperscaler AI platforms: Azure OpenAI Service, AWS Bedrock, Google Vertex AI, or equivalent.
• Experience leading large multi-disciplinary teams and managing complex, multi-million dollar client programs is a big plus.
• Excellent communication skills able to present technical concepts to executive audiences in Thai and English.
• Bachelor's or Master's degree in Computer Science, Engineering, or related field.

Job type:

Full-time

• Data Engineer Manager มีบทบาทสำคัญในการออกแบบ พัฒนา และบริหารจัดการโครงสร้างพื้นฐานด้านข้อมูล (Data Infrastructure) ขององค์กร เพื่อรองรับการใช้งานด้าน Analytics, AI และ Business Intelligence โดยทำหน้าที่นำทีม Data Engineer และทำงานร่วมกับทีม Data, Product และ Business เพื่อส่งมอบโซลูชันข้อมูลที่มีคุณภาพ มีเสถียรภาพ และสามารถขยายได้ (Scalable & Reliable).
• Data Architecture & Engineering
• ออกแบบและพัฒนา Data Architecture (Data Lake / Data Warehouse / Data Pipeline)
• สร้างและดูแล ETL / ELT Pipelines เพื่อรองรับข้อมูลจากหลายแหล่ง (Structured / Unstructured)
• พัฒนา Data Models เพื่อรองรับการใช้งานด้าน Analytics และ Reporting.
• Experience - ประสบการณ์ 7-12 ปี ในด้าน Data Engineering / Data Platform - มีประสบการณ์บริหารทีม (2-5 ปีขึ้นไป) - มีประสบการณ์ทำ Data Pipeline ขนาดใหญ่ หรือระบบที่มี Data Volume สูง ________________________________________.
• Technical Skills - Programming: Python / SQL (Advanced) - Big Data Tools: Spark, Hadoop, Kafka - Workflow Tools: Airflow, DBT - Cloud Platform: AWS / Azure / GCP - Data Warehouse: BigQuery, Snowflake, Redshift ________________________________________.
• Skills & Competencies - Leadership & People Management - Problem Solving & Analytical Thinking - Stakeholder Management - Communication Skills (Technical & Non-technical) - Project / Delivery Management ________________________________________.
• Preferred Qualifications - มีประสบการณ์ด้าน Real-time Data / Streaming - มีความรู้ด้าน Data Governance / Data Security - มี Certification ด้าน Cloud หรือ Data Engineering.
• Contact Information K. Nanchanok (Recruiter)
• Email: nanchanok.r @thaibev.com
• Company name: DIGITAL AND TECHNOLOGY SERVICES CO., LTD.
• Working Location and address: F.Y.I Center 2525 Rama IV Rd, Khlong Tan, Khlong Toei, Bangkok 10110
• MRT QSNCC Station Exit 1.