เงื่อนไขการค้นหา

ทักษะ:

ETL

ประเภทงาน:

งานประจำ

• 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..

ประเภทงาน:

งานประจำ

• 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.

ทักษะ:

English

ประเภทงาน:

งานประจำ

• 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.

ทักษะ:

SQL, Oracle, Data Warehousing

ประเภทงาน:

งานประจำ

• 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.

ทักษะ:

ETL, Big Data

ประเภทงาน:

งานประจำ

• Pipeline Development: Support the design and maintenance of scalable ETL/ELT pipelines for structured and unstructured datasets..
• AI Data Readiness: Assist in building data ingestion flows for Vector Databases and supporting RAG (Retrieval-Augmented Generation) architectures..
• Data Modeling: Contribute to the creation of robust data models and Feature Stores that serve both traditional analytics and machine learning workloads..
• Data Quality & Operations.
• Validation & Cleaning: Implement automated scripts to ensure high data integrity, reliability, and performance across the platform..
• Cloud Optimization: Assist in monitoring cloud resource usage (GCP/AWS) to ensure cost-efficiency and low-latency data access..
• Engineering Collaboration: Work closely with senior engineers to document data lineage and ensure the architecture is built for long-term scalability..
• Experience: Entry-level to 2 years of experience in data engineering, backend development, or a related technical internship.
• Portfolio: Demonstration of coding ability through a Github repository or a portfolio of data projects (e.g., building a personal API, a data scraper, or a small-scale ETL project)..
• Education: Bachelor s degree in Computer Engineering, Computer Science, Statistics, or a related technical field..
• Python: Solid foundation in writing clean, modular Python code.
• SQL: Proficiency in writing and optimizing complex queries for data analysis.
• Cloud Knowledge: Familiarity with at least one major cloud provider (GCP or AWS) and basic understanding of services like BigQuery, Redshift, or S3.
• AI Awareness: Interest in how data engineering supports AI; basic knowledge of unstructured data or vector search is a plus..
• What We Offer.
• Hands-on Multi-Cloud Experience: Get direct exposure to large-scale data environments on GCP/AWS and modern orchestration tools..
• Innovative Tech Stack: Work with cutting-edge tools at the intersection of Big Data and AI, including Vector DBs and automated data quality frameworks..
• Growth & Mentorship: A supportive environment where you will learn from senior engineers and have a clear path for professional development..
• Impactful Work: See your data pipelines directly power real-time marketing decisions and AI-driven products..
• If you re ready to build the data foundation for the next generation of AI, apply now!.

ทักษะ:

Software Development, Java, Spring Boot, English

ประเภทงาน:

งานประจำ

• 5+ years of experience in Software Development, with potential or experience in leading a small technical team.
• Strong proficiency in Java and Spring Boot Framework (Solid understanding of Micro services or Modular Monolith).
• Competent in Frontend Development using Angular.
• Hands-on experience with Data Engineering tools: Apache Airflow, Python, and SQL.
• Working knowledge of C# and Windows Scripting for batch process maintenance.
• Experience with Containerization (Kubernetes) and CI/CD tools (Jenkins).
• Ability to communicate technical concepts effectively in Thai and English Main Roles & Responsibilities.
• Contact: K.Kanyarut 06-------963.
• 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.

ทักษะ:

ETL, Compliance, SQL

ประเภทงาน:

งานประจำ

• 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.

ทักษะ:

Data Analysis, Research, Market Research, English

ประเภทงาน:

งานประจำ

• Education: Fresh graduates in Computer Science. Do not apply if your most technically challenging work was an LLM-generated React website; please apply if you did machine learning, data analysis, or anything that required you to actually think and research..
• Business Understanding: The ability to understand business contexts and how your work impacts the company's bottom line is essential..
• Technical Core: Strong fundamentals in software engineering, algorithms and programm ...
• Soft Skills: Strong communication skills (English) and a drive to get things done..
• Mindset: We are looking for highly ambitious individuals who want to learn quickly, take ownership early, and grow faster than they would in a traditional graduate role..
• Conduct proofs-of-concept across new technologies, tools, and approaches the CTO is evaluating.
• Lead vendor and market research: identify options, assess fit, synthesize findings into clear recommendations.
• Write code and queries. Production-quality.
• Build and maintain data pipelines and data engineering work as needed.
• Perform data analysis to support product, operations, and strategic decisions.
• Own and track assigned cross-functional initiatives end to end, coordinating across teams.
• Support hiring, internal coordination, and day-to-day needs of the technical team.
• Company Description.
• PropertyScout is a Thailand-based Proptech startup providing a seamless end-to-end real estate transaction platform. Connecting over 5,500 agents and agencies with buyers, renters, and property owners, we serve thousands of satisfied customers monthly. Leveraging a rich database of most properties in Thailand and advanced technology, we digitize and automate 90% of real estate transactions, enabling agents to deliver exceptional service efficiently. With its focus on transparency and trust, PropertyScout has become a preferred platform for real estate in Thailand, as evidenced by hundreds of five-star reviews..
• Send your application now!.
• Please email your updated English CV to [email protected] using the format below.
• Email Subject: Technical Associate to the CTO - [Your Name].
• Please introduce yourself and answer the following questions in English.
• Why are you interested in this role?.
• When are you available to start?.
• What is your expected salary range?.
• What relevant experience do you have from internships, university projects, or coursework?.
• What is your proficiency level in spoken and written English?.

ประเภทงาน:

งานประจำ

• The Senior Data Engineer position plays a key role in designing, developing, and managing cloud-based data platforms, as well as creating data structures for high-level data analysis, and works with business and technical teams to ensure that data management is appropriate and supports organizational goals.
• Responsible for the design, construction, and maintenance of optimal and scalable data pipeline architectures on cloud platforms (e.g., GCP, AWS, Azure).
• Oversee the development and management of complex ETL/ELT processes for data ingesti ...
• Author and optimize advanced, high-performance SQL queries for complex data transformation, aggregation, and analysis.
• Leverage the Python programming language for automation, scripting, and the development of data processing frameworks.
• Administer and optimize cloud-based data warehouse solutions and associated data lakes.
• Collaborate professionally with data scientists, analysts, and key business stakeholders to ascertain data requirements and deliver effective technical solutions.
• Provide mentorship to junior engineers and champion the adoption of data engineering best practices throughout the organization.
• Bachelor s degree or higher in Computer Science, Information Technology, Engineering, or a related field.
• At least 5 years of experience working in a data engineering or related position.
• Proficient in advanced SQL, including query optimization and performance tuning.
• Experienced in managing and designing architecture on at least one major cloud platform (Google Cloud Platform, AWS, or Azure).
• Skilled in using Python for data processing and advanced pipeline development.
• Experienced with tools and technologies for data ingestion, connectivity, and management.
• Deep understanding of data modeling principles, data warehousing methodologies, and modern data architecture.
• Excellent analytical and problem-solving skills.
• Communication and teamwork skills.
• Ability to plan and manage tasks effectively.

ทักษะ:

Finance, Accounting, Docker

ประเภทงาน:

งานประจำ

• ตรวจสอบมาตรฐาน กำกับดูแล และบริหารจัดการด้าน IT Service Management.
• บริหารจัดการเหตุการณ์สำคัญ (Major Incident) พร้อมประสานงานกับทีมที่เกี่ยวข้องเพื่อแก้ไขอย่างรวดเร็ว.
• ทำหน้าที่เป็นผู้จัดการปัญหาด้านเทคโนโลยีสารสนเทศ (Problem Manager).
• ทำหน้าที่เป็นผู้จัดการดูแล Service Level Agreement ให้เป็นไปตามตามนโยบาย.
• บริหารจัดการกระบวนการด้าน IT Service Management (Incident, Problem, SLA).
• ประสานงานร่วมกับทีมต่าง ๆ ที่เกี่ยวข้อง เช่น ทีมสนับสนุนผู้ใช้, ทีมพัฒนา, ทีมโครงสร้างพื้นฐาน เป็นต้น.
• วิเคราะห์ปัญหาเชิงลึก (Root Cause), จัดทำรายงานประสิทธิภาพการให้บริการ และเสนอแนวทางพัฒนาให้ผู้บังคับบัญชาและกลุ่มธุรกิจที่ได้รับมอบหมาย.
• ปริญญาตรีสาขาบริหารธุรกิจ วิทยาการคอมพิวเตอร์ คอมพิวเตอร์ธุรกิจ หรือ สาขาอื่น ๆ ที่เกี่ยวข้อง.
• มีประสบการณ์ด้าน IT Service Management อย่างน้อย 5 ปี.
• ใช้งานเครื่องมือ ITSM เช่น ServiceNow, Jira Service Management, BMC Remedy, FreshService, SolarWinds Service หรือเทียบเท่า.
• เข้าใจพื้นฐานระบบที่เกี่ยวข้องกับกระบวนการธุรกิจ เช่น Finance, Accounting, Sales, Logistics.
• มีความรู้ด้าน IT Infrastructure (System / Network / VM / Docker / DevOps - พื้นฐาน).
• มีทักษะวิเคราะห์ปัญหา Hardware / Software / Network.
• มีทักษะสื่อสารภาษาอังกฤษ ประสานงาน และทำงานเป็นทีม.
• มองภาพรวมธุรกิจได้ดี กระตือรือร้นและพร้อมเรียนรู้สิ่งใหม่ ๆ.
• Contact Information:-.
• K. Nanchanok (Recruiter)
• Email: nanchanok.r @thaibev.com.
• Office of Human Capital
• 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.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Thai

ประเภทงาน:

งานประจำ

• หากผ่านการพิจารณาต้องมีบุคคลค้ำประกันการทำงาน.
• กรอกใบสมัครที่ห้างทองมหานคร 168 (สำนักงานใหญ่)หน้าโรงเรียนราชินี.
• สามารถเข้ามาสมัครได้ทุกวันเวลา 11.00-15.00 น.
• เตรียมรูปถ่าย 1 นิ้ว 2 ใบ สำเนาบัตรประชาชน ทะเบียนบ้าน และวุฒิการศึกษา.
• สอบถามข้อมูลเพิ่มเติม โทร 096-1683477, Line ID: @mhn168.

ทักษะ:

Procurement

ประเภทงาน:

งานประจำ

• Support ITAM activities by following established policies and standards.
• Support day-to-day management of software assets across their lifecycle.
• Help extend ITAM practices to subsidiaries with aligned and standardized processes.
• Work with ITAM/ITSM tools (e.g., ServiceNow) to improve data accuracy and reduce manual effort.
• Assist in software license tracking, audit preparation, and secure data disposal practices.
• Coordinate with Teams & Vendors.
• Maintain Asset Data, Update CMDB/ITAM records and support reporting to ensure data accuracy.
• Knowledge of IT Asset Management & ITIL-based IT Service Management.
• Hands-on experience with IT Asset management tools / Process.
• Understanding of procurement and contract management.
• Analytical mindset with problem-solving skills.
• Excellent communication and stakeholder management skills.
• Bachelor s degree in IT, Computer Science, or related field.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

• Work in close collaboration with various teams to craft and execute design strategies that focus on delivering modern user experiences through the latest technologies..
• Develop and conceptualize a comprehensive UI/UX design strategy for our brand and products, collaborating effectively with different teams..
• Manage and direct the design cycle, including leading workshops and ensuring that all project requirements are meticulously met..
• Create detailed process flows, diagrams, wireframes, storyboards, sitemaps, visual design mockups, and high-fidelity prototypes to effectively convey complex interaction behaviors and business objectives..
• Lead in designing dynamic animations, Ul elements, and innovative tools, such as navigation menus, search boxes, tabs, widgets, and Al-driven components for our digital assets..
• Perform comprehensive testing of Ul components like CTAs, banners, page layouts, and design flows, ensuring optimal functionality and design for landing pages..
• Collaborate with sales, marketing, and technology teams, as well as other internal and external partners, to develop and deliver custom digital experiences tailored to user needs..
• Confidently communicate and justify design decisions to executive stakeholders, and effectively incorporate their feedback into design improvements..
• Provide guidance and expertise in implementing UX research methodologies and testing activities, aiming to analyze and predict user behaviors..
• Adhere to and uphold the brand's style, identity, and standards, particularly in areas of typography and graphic design.
• 0-3 years of experience in UX/UI or product design; exposure to AI, data-intensive platforms, or enterprise environments is a plus..
• A portfolio demonstrating end-to-end design fundamentals, from basic user research and interaction design to polished UI mockups and prototypes..
• Ability to consider user needs, business objectives, and basic technical constraints, translating them into clear and practical design solutions..
• Solid understanding of UX fundamentals, including interaction design, information architecture, and usability best practices..
• Proficiency in Figma for interface design and prototyping; experience with additional tools such as Adobe Creative Suite, FigJam, or Miro is a plus..
• Experience creating user flows, wireframes, high-fidelity UI, and interactive prototypes to effectively communicate design ideas..
• Ability to collaborate effectively within cross-functional product teams, working closely with designers, developers, and product managers..
• A passion for emerging technologies, artificial intelligence, and designing for innovation and impact..

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

English, Thai

ประเภทงาน:

งานประจำ

• Develop and maintain websites and web applications.
• Build responsive and user-friendly interfaces.
• Troubleshoot bugs and improve website performance.
• Collaborate with the team on new features and projects.
• Optimize websites for speed, functionality, and user experience.
• Assist with integrations, updates, and technical improvements.
• Support ongoing digital and platform development.
• Experience in web development and modern frameworks.
• Knowledge of HTML, CSS, JavaScript, and responsive design.
• Experience with frontend and/or backend development.
• Familiar with platforms, APIs, and website management.
• Strong problem-solving and debugging skills.
• Ability to work independently and within a team.
• Portfolio or previous projects preferred.
• Preferred Skills.
• React, Next.js, Node.js, WordPress, or similar frameworks.
• UI/UX understanding.
• Database and hosting knowledge.
• Experience with startups, fintech, or Web3 is a plus.
• Preferred Qualities.
• Fast learner and proactive mindset.
• Detail-oriented and organized.
• Able to work in a fast-paced environment.
• Strong communication and teamwork skills.
• Employment Type.
• Full-Time Preferred.
• Part-Time / Project-Based Opportunities Available.
• Bangkok, Thailand.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Thai

ประเภทงาน:

งานประจำ

• หากผ่านการพิจารณาต้องมีบุคคลค้ำประกันการทำงาน.
• กรอกใบสมัครที่ห้างทองมหานคร 168 (สำนักงานใหญ่)หน้าโรงเรียนราชินี.
• สามารถเข้ามาสมัครได้ทุกวันเวลา 11.00-15.00 น.
• เตรียมรูปถ่าย 1 นิ้ว 2 ใบ สำเนาบัตรประชาชน ทะเบียนบ้าน และวุฒิการศึกษา.
• สอบถามข้อมูลเพิ่มเติม โทร 096-1683477, Line ID: @mhn168.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

Thai

ประเภทงาน:

งานประจำ

• หากผ่านการพิจารณาต้องมีบุคคลค้ำประกันการทำงาน.
• กรอกใบสมัครที่ห้างทองมหานคร 168 (สำนักงานใหญ่)หน้าโรงเรียนราชินี.
• สามารถเข้ามาสมัครได้ทุกวันเวลา 11.00-15.00 น.
• เตรียมรูปถ่าย 1 นิ้ว 2 ใบ สำเนาบัตรประชาชน ทะเบียนบ้าน และวุฒิการศึกษา.
• สอบถามข้อมูลเพิ่มเติม โทร 096-1683477, Line ID: @mhn168.

ประสบการณ์:

3 ปีขึ้นไป

ประเภทงาน:

งานประจำ

• ดูแลระบบ Network และ Server Infrastructure.
• บริหาร Linux Server, Proxmox, Docker.
• ดูแล Web / Database / Email / Name Server.
• แก้ไขปัญหา Hosting, SSL, VoIP และระบบโดเมน.
• Support ลูกค้าด้านเทคนิคอย่างมืออาชีพ.
• มีประสบการณ์ Linux Server และ Network Infrastructure.
• ใช้งาน Proxmox, Docker และ Database (MySQL/MariaDB) ได้.
• เข้าใจ Web Server (Apache/Nginx) และระบบโดเมน.
• แก้ไขปัญหา Hosting, Email, SSL, VoIP ได้.
• สื่อสารดี รักการแก้ปัญหา และทำงานภายใต้แรงกดดันได้.
• ทำไมต้อง DotArai?.
• ได้ทำงานกับระบบจริงที่ท้าทาย.
• ทีมงานมืออาชีพ พร้อมซัพพอร์ต.
• โอกาสเติบโตในสาย Infrastructure & DevOps.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

• Field Maintenance: Travel to various store locations using your personal vehicle or public transport to perform both preventive and corrective maintenance..
• Hardware Mastery: Install, configure, and troubleshoot laptops, printers, POS terminals, handheld scanners, and other essential retail hardware..
• System Health: Perform regular health checks and monitoring to ensure 100% uptime, aiming for high Mean Time Between Failures (MTBF)..
• Inventory & Budget: Track IT assets and assist in cost allocation and budget monitoring for store equipment..
• Technical Support & Incident Resolution.
• Rapid Response: Serve as the primary point of contact for store teammates, managing incidents from first contact to resolution (Targeting high FCR rates)..
• Network Stability: Monitor and maintain store networks, including Access Points, Switches, and 5G failover systems..
• Root Cause Analysis: Don t just fix investigate. Analyze recurring issues to implement permanent solutions and reduce the incident backlog..
• Security, Resilience & Empowerment.
• Data Protection: Execute and test backup and disaster recovery procedures to ensure business continuity..
• Cybersecurity: Implement security best practices and ensure all systems are patched and compliant with company standards..
• Teammate Training: Empower store staff by conducting training sessions on new digital tools and security awareness..
• Mobility & Flexibility: You are comfortable traveling to different store locations and are adaptable with your working hours to align with store opening times and project deadlines..
• Technical Expertise: 2+ years of experience in IT support, specifically with hardware (POS, Scanners) and networking (APs, Switches, 5G)..
• Communication: Good command of English to collaborate with regional teams and technical references..
• Passion: You genuinely love sports and bring that same energy and "team-player" mentality to your work..
• Problem Solver: You are highly responsible, flexible, and capable of working in a fast-paced retail environment..
• Have our company core values and express them through your actions Vitality, Responsibility, Generosity, and Authenticity.
• Decathlonian Benefits.
• Be a shareholder, with an exclusive annual option to invest in Decathlon s Shares..
• Provident fund..
• Group insurance includes life, health, and dental insurance..
• Performance bonus..
• Employee discount..
• A learning environment where you can dive deep and make an impact..
• Wide range of career opportunities locally and globally..

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Negotiation, Project Management, Sales, English

ประเภทงาน:

งานประจำ

• 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..

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Python, PHP, node.js, MySQL, English

ประเภทงาน:

งานประจำ

• Design, develop, and maintain web applications, backend systems, and databases.
• Develop and maintain frontend applications and integrate them with backend APIs.
• Build and support web and mobile applications (Android & iOS).
• Enhance existing systems through bug fixing, troubleshooting, and feature improvements.
• Develop internal systems such as quotation, inventory, and business tools.
• Manage system deployment to staging and production environments.
• Configure and maintain cloud and on-premise servers.
• Gather and analyze requirements from users and stakeholders.
• Coordinate tasks, timelines, and progress with the IT Coordinator.
• Support UAT, production releases, documentation, and post-deployment activities.
• Native Thai speaker.
• Bachelor s degree or higher in IT, Computer Science, Engineering, or related field.
• 2-5 years of experience in full-stack or backend development.
• Good English communication skills.
• Experience with backend development using Python, PHP, Node.js, or Java.
• Familiarity with frontend frameworks such as React.
• Experience with SQL databases (e.g., MySQL, MariaDB).
• Proficiency in Git (GitHub) for version control and team collaboration.
• Experience with frameworks such as Flask, Spring Boot, or Laravel.
• Akagane (Thailand) Co., Ltd. specializes in comprehensive data management and processing services. Since 2010, we have been transforming complex information into accessible formats, supporting global clients across industries with multilingual solutions. We also provide IT solutions and digital project support, helping clients streamline workflows, improve operational efficiency, and manage information more effectively.
• Social Security.
• Group Life Insurance.
• Provident Fund.
• Annual Health Check-up.
• Influenza Vaccination.
• Meal Allowance (Lunch/Dinner).
• Transportation Allowance.
• Learning & Development Budget.
• Language Skill Improvement Reward.
• Annual Company Trip (depending on company performance).
• Special Leave and Financial Support for Special Occasions.
• Flexible Working Hours.
• Bonus (depending on company performance).
• Others..