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āļāļąāļāļĐāļ°:
DevOps, Apache, Web Services
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Deploy application packages to servers, copy/move files, and monitor log files to ensure successful deployment.
- Provide standby support and monitor server performance/logs during scheduled deployment windows.
- Assist in reviewing, analyzing, and remediating Vulnerability Assessment (VA) and Penetration Testing (Pentest) scan results.
- Manage, renew, and install SSL certificates for various servers and Apache Tomcat instances to ensure secure connections.
- Maintain and support infrastructure environments spanning both On-Premise data centers and Amazon Web Services (AWS)..
- Develop, maintain, and troubleshoot basic Linux shell scripts or batch files to automate routine operational tasks.
- Assist in writing or modifying application logic using Java to support system integrations or batch processing.
- Bachelor s degree in Computer Science, Computer Engineering, Information Technology, or a related technical field.
- 2 years of experience in System Administration, DevOps, or Infrastructure support.
- Familiarity with Java programming and Linux Shell Scripting (Bash/Batch).
- Good command of Linux/Unix environments and basic command-line operations (e.g., file manipulation, reading logs, process management).
- Basic understanding of Apache Tomcat or similar Java web application servers.
- Exposure to cloud platforms, specifically AWS (EC2, S3, etc.), is a strong plus.
- Basic knowledge of networking concepts, particularly SSL/TLS certificates and configuration..
- Highly motivated to learn new technologies and follow operational guidelines.
- Good analytical skills to troubleshoot basic system and script errors..
- 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 ResourcesFunction 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.
āļāļąāļāļĐāļ°:
Compliance, Automation, Payroll
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Gather and analyze business requirements and translate them into system solutions.
- Design, implement, and enhance HRIS applications and workflows.
- Lead HR system projects, including configuration, testing, deployment, and support.
- Manage integrations between HR systems and enterprise applications.
- Collaborate with HR, IT teams, and vendors to deliver effective solutions.
- Ensure data accuracy, security, and compliance across HR platforms.
- Develop reports, dashboards, and analytics to support business decisions.
- Drive process improvement and automation initiatives to enhance operational efficiency.
- Bachelor's degree in Computer Science, Information Technology, Human Resources, or related fields.
- 5+ years of experience as a System Analyst, Business Analyst, or HRIS Analyst.
- Strong understanding of HR processes such as Core HR, Performance Management, Payroll, Time Attendance, and Employee Self-Service.
- Experience with HRIS platforms such as Workday, SAP SuccessFactors, Oracle HCM, PeopleSoft, or similar systems.
- Experience in system integration, API, and data management.
- Strong analytical, problem-solving, and stakeholder management skills.
- Excellent communication and project coordination skills.
- Nice to Have.
- Experience in large-scale organizations.
- Knowledge of HR reporting, analytics, and data governance.
- Experience with automation, digital transformation, or AI-enabled solutions.
- 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 ResourcesFunction 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.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Gather, analyze, and document Business Requirements related to Collections systems and regulatory impacts..
- Facilitate requirement gathering sessions with business users, IT teams, and relevant stakeholders to support system development projects.
- Perform Gap Analysis by comparing current processes (As-Is) and future processes (To-Be) to identify system enhancement opportunities..
- Coordinate with internal teams, IT, and external vendors to identify suitable solutions and ensure timely project delivery.
- Review and validate user requirements and provide recommendations to improve feasibility and process efficiency.
- Prepare batch processing plans, test scenarios, and UAT (User Acceptance Testing) scripts to ensure systems meet business requirements..
- Support troubleshooting and resolution of BAU (Business-As-Usual) system issues in collaboration with IT and users..
- Monitor and control project implementation to ensure delivery timelines and business expectations are met.
- Investigate reported system issues and coordinate with relevant teams to implement solutions.
- Support additional assignments as required.
- Bachelor s degree in Computer Science, Information Technology, Business Information Systems, or related fields.
- Minimum 2-3 years of experience as an IT Business Analyst, System Analyst, or related role..
- Experience in Business Requirement gathering, system enhancement projects, and UAT testing..
- Experience in Project Management or involvement in system implementation projects..
- Experience in Process Improvement or Lean Process initiatives is preferred..
- At least 2 years of experience working on projects within financial services, banking, or auto leasing industries is an advantage.
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļąāļāļāļģāļāļļāļāļāđāļāļĄāļđāļĨāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđ āđāļĨāļ°āđāļĄāđāļāļĨāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļ§āļĒāđāļāļāđāļāđāļĨāļĒāļĩ Machine Learning āđāļĨāļ° Data Science āļĢāļ§āļĄāļāļķāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļāļīāļāļĨāļķāļ (Deep Insight) āđāļāļ·āđāļāļāļēāļĢāļŠāļĢāđāļēāļāđāļāļāļāļģāļĨāļāļāđāļāļāļēāļĢāļāļģāđāļāđāļāđāļāļģāļāļēāļĒ āļāļēāļāļāļēāļĢāļāđ (Predictive) āļāļāļāđāļāļāļĒāđāļāļąāļāļāļēāļāļāļļāļĢāļāļīāļāđāļŦāđāļāļąāļāļāļāļāđāļāļĢ.
- Data Modeling & ML: āļāļąāļāļāļē, āļāļāļŠāļāļ āđāļĨāļ°āļāļģ Machine Learning Models āđāļāđāļāđāļāļĢāļīāļ (Production) āđāļāļ·āđāļāđāļāđāđāļāļāļąāļāļŦāļēāļāļēāļāļāļļāļĢāļāļīāļ āđāļāđāļ āļāļēāļĢāļāļģāļāļēāļĒāļĒāļāļāļāļēāļĒ, āļāļēāļĢ Optimization, āļāļĢāļ§āļāļāļąāļāļāļļāļāļĢāļīāļ āđāļāđāļāļāđāļ.
- Advanced Analytics: āđāļāđāļ§āļīāļāļĩāļāļēāļĢāļāļēāļāļŠāļāļīāļāļīāļāļąāđāļāļŠāļđāļāđāļĨāļ°āļāļąāļĨāļāļāļĢāļīāļāļķāļĄ āđāļāļ·āđāļāļāđāļāļŦāļēāļĢāļđāļāđāļāļ (Pattern ...
- Dashboard & Reporting: āļāļąāļāļāļēāđāļĨāļ°āļāļđāđāļĨ Dashboard (Power BI) āđāļāļ·āđāļāļāļīāļāļāļēāļĄ KPI āđāļĨāļ°āļĢāļēāļĒāļāļēāļāļāļĨāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļāļāļļāļĢāļāļīāļāđāļāļ Real-time.
- Business Analysis: āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļāļ·āđāļāļŦāļē Insight, āđāļāļ§āđāļāđāļĄ (Trends) āđāļĨāļ°āļŠāļēāđāļŦāļāļļāļāļāļāļāļąāļāļŦāļēāļāļēāļāļāļļāļĢāļāļīāļ.
- Data Interpretation: āđāļāļĨāļāļĨāļāđāļāļĄāļđāļĨāđāļŦāđāđāļāđāļāļāļģāđāļāļ°āļāļģāđāļāļīāļāļāļĨāļĒāļļāļāļāđ (Actionable Insights) āđāļāļ·āđāļāđāļāļīāđāļĄāļĒāļāļāļāļēāļĒ āļŦāļĢāļ·āļāđāļāļīāđāļĄāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāļāļēāļĢāļāļģāļāļēāļ.
- Insight Communication: āļŠāļ·āđāļāļŠāļēāļĢāļāļĨāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļĩāđāļāļąāļāļāđāļāļāđāļŦāđāđāļāđāļēāđāļāļāđāļēāļĒāļāđāļēāļāļāļēāļĢāļāļģ Visualization āđāļĨāļ°āļāļēāļĢāļāļģāđāļŠāļāļāļāđāļāļāļĩāļĄāļāļĢāļīāļŦāļēāļĢ.
- āļāļĢāļīāļāļāļēāļāļĢāļĩ/āđāļ āļŠāļēāļāļēāļ§āļīāļāļĒāļēāļāļēāļĢāļāļāļĄāļāļīāļ§āđāļāļāļĢāđ, āļŠāļāļīāļāļī, āļāļāļīāļāļĻāļēāļŠāļāļĢāđ, āļ§āļīāļĻāļ§āļāļĢāļĢāļĄāļĻāļēāļŠāļāļĢāđ āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļāļāđāļēāļ Data Science/Machine Learning 1-3 āļāļĩ.
- āļŦāļĢāļ·āļ āļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļāļāđāļēāļ Data Analytics/Business Intelligence 1-3 āļāļĩ.
- āļāļąāļāļĐāļ°āļāļēāļĢāđāļāļĩāļĒāļāđāļāļĢāđāļāļĢāļĄ Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) āļāļĒāđāļēāļāļāļĩ.
- āđāļāļĩāđāļĒāļ§āļāļēāļāļāļēāļĢāđāļāđ SQL āļŠāļģāļŦāļĢāļąāļāļāļķāļāļāđāļāļĄāļđāļĨāđāļāļĢāļ°āļāļąāļāļŠāļđāļāļĄāļĩ.
- āļāļąāļāļĐāļ°āđāļāļāļēāļĢāđāļāđāđāļāļĢāļ·āđāļāļāļĄāļ·āļ Visualization (Power BI).
- āļĄāļĩāļāļ§āļēāļĄāđāļāđāļēāđāļāļāļĢāļīāļāļāļāļēāļāļāļļāļĢāļāļīāļ (Business Acumen) āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāļŠāļ·āđāļāļŠāļēāļĢāļāđāļāļĄāļđāļĨāļāļĩāđāļāļąāļāļāđāļāļāđāļāđāļāļĩ.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
1 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Microsoft Office
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ16,000 - āļŋ35,000
- āļāļđāđāļĨāļĢāļ°āļāļ E-commerce (Shopee, Lazada, TikTok).
- āļāļđāđāļĨ Social Media āļāļāļāļāļĢāļīāļĐāļąāļ.
- āđāļāļīāđāļĄāļĒāļāļāļāļēāļĒāđāļŦāđāļāļąāļāļāļĢāļīāļĐāļąāļ.
- āļāļēāļāļāļ·āđāļāđ āļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ.
- āļ§āļļāļāļīāļāļĢāļīāļāļāļēāļāļĢāļĩ āļŠāļēāļāļēāđāļāļāđāđāļāđ.
- āļŠāļēāļĄāļēāļĢāļāđāļāđāđāļāļĢāđāļāļĢāļĄāļāļāļĄāļāļīāļ§āđāļāļāļĢāđāļāļ·āđāļāļāļēāļāđāļāđ.
- āļĄāļĩāļĄāļāļļāļĐāļĒāđāļŠāļąāļĄāļāļąāļāļāđāļāļĩ āļāļĢāļāļāđāļāđāļ§āļĨāļē.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđ 1 āļāļĩāļāļķāđāļāđāļ.
- āļāļģāļāļēāļāļ§āļąāļāļāļąāļāļāļĢāđ - āđāļŠāļēāļĢāđ.
- āđāļ§āļĨāļē 08.30 - 17.30 āļ.
āļāļąāļāļĐāļ°:
Software Development, Automation, Assurance
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Able to response all aspects of testing and owning the quality of application release through software development life cycle (SDLC) or agile method to reduce future operation cost of application by automation testing technique.
- To cooperate in the enhancement of the methodologies employed for test strategy defining, test planning and execution, defect tracking, and metric and status reporting.
- To interact with stakeholders to plan testing for delivery of products and enhancements and to assure products meet product requirements and quality standards.
- To be a part of solution delivery team to plan and execute automated for functional and non-functional tests.
- To report issues and results, researching and identifying root causes as appropriate, documenting accordingly.
- To ensure that testing addresses requirements as agreed with other stakeholders.
- To identify opportunities to apply existing automation or other tools to meet testing needs.
- To work across teams as a coach to enhance quality assurance/testing and help to develop/execute performance and automation testing throughout the business as appropriate.
- Bachelor s degree/Master s degree in Computer Science, Computer Engineering, Technology Management or related fields.
- Manage team sizing 10 staffs up.
- Minimum 5 years of experiences in automated tester role.
- Strong knowledge in Continuous Integration (CI) and Continuous Development (CD).
- Strong knowledge in QA methodologies, of the software development process.
- Basic knowledge in financial services industry.
- Knowledge software automate testing.
- Prior experience in preparing test plan / test case / Test script is a must.
- Good strategic thinking, analytical skill in interpreting functional requirements and design documents to develop appropriate test plan.
- Test automation tool; Robot Framework, SOAPUI, Cucumber, Gherkin, Ruby, Selenium, etc.
- Understanding of the basic financial, business model and processes.
- Strong analytical and problem - solving skills.
- Problem solving skill.
āļāļąāļāļĐāļ°:
SAP, Software Development
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļĢāļ§āļāļŠāļāļ āđāļĨāļ°āļāļĢāļąāļāļāļĢāļļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļĨāļēāļ āļĢāļ°āļāļāļāļēāļ SAP.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļāļđāđāđāļāđāļāļēāļ āļāļĩāļĄ IT, āļāļĢāļīāļŦāļēāļĢāļŠāļīāļāļāđāļē, āļĻāļđāļāļĒāđāļāļēāļĢāļāđāļē, āļāļąāļāļāļĩ, āļāļēāļĢāđāļāļīāļ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļāļđāđāđāļāđāļāļēāļāđāļāļĢāļ°āļāļ āđāļāļĩāđāļĒāļ§āļāļąāļāļāļąāļāļŦāļē āđāļĨāļ°āļāļēāļĢāđāļāđāđāļ.
- āļāļĢāļąāļāļāļĢāļļāļāļāļēāļĢāļāļģāļāļēāļāļāļāļāļāļđāđāđāļāđāļāļēāļāļāļēāļĄāļĢāļ°āļāļāļāļēāļ āđāļŦāđāđāļāļīāļāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāļĒāļīāđāļāļāļķāđāļ.
- āļāļāļāļēāļĢāļĻāļķāļāļĐāļēāļĢāļ°āļāļąāļ āļāļĢāļīāļāļāļēāļāļĢāļĩ āļŠāļēāļāļēāļ§āļīāļāļĒāļēāļāļēāļĢāļāļāļĄāļāļīāļ§āđāļāļāļĢāđ āļāļāļĄāļāļīāļ§āđāļāļāļĢāđāļāļļāļĢāļāļīāļ āļŠāļēāļĢāļŠāļāđāļāļĻ āļŦāļĢāļ·āļ āļŠāļēāļāļēāļāļ·āđāļāđ āļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļĢāļąāļāļāļĢāļļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļĨāļēāļ āļĢāļ°āļāļāļāļēāļ SAP 2 āļāļĩāļāļķāđāļāđāļ.
- āļĄāļĩāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļāļāđāļāļāļĢāļ°āļāļāļāļēāļ āļ§āļēāļāđāļāļ āļāļĢāļ°āļŠāļēāļāđāļĨāļ°āļāļīāļāļāļēāļĄāļāļēāļ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđ Software Development Life Cycle (SDLC) āđāļĨāļ° SAP.
- āļĄāļĩāļāļ§āļēāļĄāļāļīāļāļŠāļĢāđāļēāļāļŠāļĢāļĢāļāđ āđāļĨāļ°āļĢāļąāļāļāļīāļāļāļāļāđāļāļāļēāļĢāļāļāļīāļāļąāļāļīāļāļēāļ.
- āļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāđāļŦāđāļāļģāđāļāļ°āļāļģāđāļĨāļ°āļāļēāļĢāļāļīāļāļāļēāļĄāļāđāļāļĄāļđāļĨāļāđāļēāļ§āļŠāļēāļĢ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļ āļēāļĐāļēāļāļąāļāļāļĪāļĐāđāļāļĢāļ°āļāļąāļāļāļĩ.
- āļŠāļāļēāļāļāļĩāđāļāļāļīāļāļąāļāļīāļāļēāļ: āđāļāļāļ°āļĄāļāļĨāļĨāđāļĢāļēāļĄāļāļģāđāļŦāļ (āļŠāļģāļāļąāļāļāļēāļāđāļŦāļāđ), Airport Link āļĢāļēāļĄāļāļģāđāļŦāļ.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
āđāļĄāđāļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ
āļāļąāļāļĐāļ°:
Negotiation, Thai, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ18,000 - āļŋ30,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ, āļĄāļĩāļāđāļēāļāļāļĄāļĄāļīāļāļāļąāđāļ
- Present and sell commercial and industrial washing machines, dryers, and related laundry equipment..
- Develop new customers and maintain relationships with existing clients such as laundromat investors, hotels, hospitals, factories, and commercial laundries..
- Provide professional consultation on machine selection, shop layout, and laundry solutions..
- Prepare quotations, negotiate terms, and close sales deals..
- Coordinate with technical, installation, and after-sales service teams..
- Follow up on order status, delivery, and customer satisfaction..
- Prepare sales reports and update customer information..
- Visit customers on-site and attend exhibitions or trade shows when required..
- __________________________________.
- Strong communication, negotiation, and closing skills..
- Self-motivated, target-driven, and able to work under pressure..
- Own a car and able to travel upcountry when required..
- Basic computer skills (Line, Excel, Google Docs, Email, Socialmedia relative skill)..
- __________________________________.
- Compensation & Benefits.
- Salary.
- Commission (uncapped, based on sales performance).
- Travel and phone allowance (as per company policy).
- Social Security.
- Performance bonus.
- Product and sales training provided.
- Work Style & Career Growth.
- Proactive sales role (Active / Hunter Sales).
- High income opportunity based on performance.
- Career growth to Senior Sales or Sales Manager.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ30,000 - āļŋ50,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļāļđāđāļĨāļĢāļ°āļāļ Network āđāļĨāļ° Server Infrastructure.
- āļāļĢāļīāļŦāļēāļĢ Linux Server, Proxmox, Docker.
- āļāļđāđāļĨ Web / Database / Email / Name Server.
- āđāļāđāđāļāļāļąāļāļŦāļē Hosting, SSL, VoIP āđāļĨāļ°āļĢāļ°āļāļāđāļāđāļĄāļ.
- Support āļĨāļđāļāļāđāļēāļāđāļēāļāđāļāļāļāļīāļāļāļĒāđāļēāļāļĄāļ·āļāļāļēāļāļĩāļ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđ Linux Server āđāļĨāļ° Network Infrastructure.
- āđāļāđāļāļēāļ Proxmox, Docker āđāļĨāļ° Database (MySQL/MariaDB) āđāļāđ.
- āđāļāđāļēāđāļ Web Server (Apache/Nginx) āđāļĨāļ°āļĢāļ°āļāļāđāļāđāļĄāļ.
- āđāļāđāđāļāļāļąāļāļŦāļē Hosting, Email, SSL, VoIP āđāļāđ.
- āļŠāļ·āđāļāļŠāļēāļĢāļāļĩ āļĢāļąāļāļāļēāļĢāđāļāđāļāļąāļāļŦāļē āđāļĨāļ°āļāļģāļāļēāļāļ āļēāļĒāđāļāđāđāļĢāļāļāļāļāļąāļāđāļāđ.
- āļāļģāđāļĄāļāđāļāļ DotArai?.
- āđāļāđāļāļģāļāļēāļāļāļąāļāļĢāļ°āļāļāļāļĢāļīāļāļāļĩāđāļāđāļēāļāļēāļĒ.
- āļāļĩāļĄāļāļēāļāļĄāļ·āļāļāļēāļāļĩāļ āļāļĢāđāļāļĄāļāļąāļāļāļāļĢāđāļ.
- āđāļāļāļēāļŠāđāļāļīāļāđāļāđāļāļŠāļēāļĒ Infrastructure & DevOps.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
āđāļĄāđāļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ
āļāļąāļāļĐāļ°:
English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ20,000 - āļŋ23,000
- Our business
- Engineering services for renewable energy projects, primarily solar power generation systems
- Consulting services within the same field
- Hiring reason
- We are seeking new members in preparation for a large-scale project scheduled for 2025.
- Planning and coordinating projects
- Business trips with a Avg 3-4 months project every 2-5 months.
- Managing workers on site
- Overall project management, including design, material procurement, and schedule management
- Collaboration with clients and other technical teams
- Other necessary tasks.
- Must
- Must submit Transcript and English CV before application
- Male, Thai national, Age22~25
- New grad only
- Bachelor Degree in Electrical Power Engineer/Electrical Engineering fields
- Have driver license * Car provided
- Can work on Saturday *If customer request(Company provide OT Fee or can take leave on weekday)
- Conversational English level
- Advantage
- Active person
- Ability to use Auto-CAD
- Able to travel to up-country.
- Benefit.
- Living Allowance
- Travel Allowance *Basically full paid
- Gasoline allowance *Only if you commute to the job site by private vehicle
- O.T. Allowance
- Provident fund
- Medical Allowance
- Social Security Fund
- Bonus
- Salary adjustment (Once/year).
- Working Hour.
- 08:30 - 17:30.
- Holiday.
- Saturday
- Sunday
- Public holidays
- Work on Saturday (Frequency depends on the situation).
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
1 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Construction Monitoring, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ23,000 - āļŋ30,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Manage sourcing process, including RFQ, supplier selection, and commercial comparison
- Evaluate supplier quotations and recommend cost-effective procurement solutions
- Negotiate pricing, terms, and delivery schedules with suppliers
- Coordinate with Engineering, Project, and Site teams to ensure alignment of technical and commercial requirements
- Issue and manage Purchase Orders
- Monitor procurement schedules and ensure timely delivery of materials and equipment
- Resolve procurement-related issues, including delays, quality concerns, and discrepancies
- Support cost control initiatives and value engineering opportunities.
- Bachelor s degree in Electrical Engineering, or related field
- Minimum 1-3 years of experience in procurement or purchasing (construction / ME preferred)
- Basic understanding of procurement processes and supplier coordination
- Proficient in Microsoft Office (Excel, Word)
- Good communication skills in Thai and basic English.
- Benefit.
- Transportation Expense (actual expenses)
- Health Insurance (MSIG cashless)
- Car & Gasoline (on site work)
- Provident Fund
- Annual BONUS
- OT
- Paid Vacation (6 days per year)
- Employee trip (once per year)
- New year party,
- Overseas Business Trip Allowance
- Domestic Business Trip Allowance (if it can't go home in day)
- Language allowance (N3)
- Others.
- Working Hour.
- 08:00 - 17:00.
- Holiday.
- Sat, Sun
- Public holidays
- Working on Sat (2 times per month).
- Annual BONUS (about 2 months/year)
- Provident Fund (3%)
- Overseas Business Trip Allowance (750 THB 1,000 per day)
- Domestic Business Trip Allowance (240 THB per day) if it can't go home in day.
- Language allowance (N3): 3,000THB/month..
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
3 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Automation, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ25,000 - āļŋ55,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Maintaining the interactions with the active customers and identifying new client account as well as new business possibilities
- Selling the products and services to active customers of the company and convincing them about their usability and advantages
- Making the customers understand about the various products and services by explaining to them about the same in their local language
- Ensuring that the requirements of the international clients are met by modifying the products and services of our company to provide
- Treating and greeting the customers very well and making them go through the purchasing methods and procedures
- Attending international sales meetings, seminars and conferences arranged within the company or between the company and the customers to boost the sales profits
- Managing the inquiries and questions from the customers and clearing all their doubts on the products and services
- Convincing the customers to buy the machines or related products and services of the company
- Searching for opportunities that enhance the sales and benefit to the clients
- Administering the sales area that were allocated and planning effectively to manage time and generate profits by maintaining the sales
- Submitting the reports, records, presentations and sales documents to the Managing Director
- Maintaining the daily, weekly, quarterly, half yearly and annual sales reports and records
- Upholding the bills, financial statements and records of expenditures of the international travels occurred
- Undertaking any new relevant tasks as maybe directed by Managing Director from time to time.
- Bachelor's Degree in Mechanical, Electrical, or Industrial Engineering or equivalent is preferred
- At least 3 years of industry segment experience is preferred (Bakery / Fast-Moving Consumer Goods)
- English communication required, fair to good level of writing and speaking is acceptable
- Computer literacy, having basic skills of Microsoft Office, proficient in AutoCAD is advantage
- Own Vehicle with activated driving license & good driving skill
- Customer service orientated
- Self-managed but able to prioritize the work to fit with our company s results-oriented culture
- Good personality and outgoing with strong interpersonal and communication skills
- Analytical ability to effectively identify and resolve problems independently
- Ability to work independently and set own schedule
- Flexible to work extra hours and able to travel aboard and upcountry
- Working experience in foods industrial environment would be benefit, knowledge base in automation background is preferrable..
- Benefit.
- Basic Salary depends on educational background and work experience (Negotiable)
- Car Allowance
- Mobile Phone Allowance
- Sales Commission from new sales project (Individual Performance)
- Group Life Insurance cover for Death and Accidental including to IPD cases
- Medical Expenses claimed with company for OPD case
- Provident Fund
- Annual leave 10 days/year
- Annual Health Check-up
- Company s gathering party and outing trip (on occasion).
- Working Hour.
- 08:30 - 17:00.
- Holiday.
- Working Days: Mon-Sat (switching 2 days working on Saturday in each month).
- āļāļĢāļīāļĐāļąāļāļāđāļāļāļāļēāļĢāļāļāļāļĩāđāđāļāļĒāļāļēāļĒāđāļāļĢāļ·āđāļāļāļāļąāļāļĢāļāļļāļāļŠāļēāļŦāļāļĢāļĢāļĄāļāļģāļāļēāļŦāļēāļĢāļāļĢāļ°āđāļ āļāđāļŦāļāļāđāđāļāđ āđāļāđāļ bakery āļŦāļĢāļ·āļ FMCG āđāļāđāļāđāļāļāđāļāđāļāļĢāļđāļāđāļāļāđāļāļĢāļ·āđāļāļāļāļąāļāļĢāļāļģāļāļēāļŦāļēāļĢāđāļāđāļēāļāļąāđāļ**
- āļŦāļēāļāđāļĄāđāđāļāđāđāļĢāļĩāļĒāļāļāļāļŠāļēāļĒāļ§āļīāļĻāļ§āļ°āđāļāđāđāļāļĒāļāļēāļĒāđāļāļĢāļ·āđāļāļāļāļąāļāļĢāļāļģāļāļēāļŦāļēāļĢāļĄāļēāđāļāļĒāļāļĢāļ āļŠāļēāļĄāļēāļĢāļāļĢāļąāļāļāļīāļāļēāļĢāļāļēāđāļāđāđāļāđāļāļāļąāļ**
- āđāļĄāđāļĢāļąāļāļāļīāļāļēāļĢāļāļēāļāļđāđāļŠāļĄāļąāļāļĢāļāļĩāđāđāļāļĨāļĩāđāļĒāļāļāļēāļāļāđāļāļĒāļŦāļĢāļ·āļāđāļāđāļ job hopper (āļāļĒāđāļēāļāļāđāļģāļāđāļāļāļāļģ 3 āļāļĩāļāļķāđāļāđāļ)**
- āļāļģāđāļŦāļāđāļāļāļĩāđāļāļ°āļāđāļāļāļāļēāļĨāļđāļāļāđāļēāđāļāđāļĒāļĩāđāļĒāļĄāļāļĄāđāļāļĢāļ·āđāļāļāļāļąāļāļĢāļāļģāļāļēāļŦāļēāļĢāļāļĩāđ āļāļāļĢāļāļāļĄ āļāđāļāļāļāđāļēāļāļāđāļāļĒ**
- (āđāļāļīāļāđāļāļ·āļāļāļāļđāđāļŠāļĄāļąāļāļĢāļāļķāđāļāļāļĒāļđāđāļāļąāļāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļāļāļāļđāđāļŠāļĄāļąāļāļĢ)
- Noted: āļĢāļāļāļ§āļāļāđāļēāļāļāļļāļāļāļĢāļąāđāļāļāđāļāļ apply
- āļŦāļēāļāđāļāđāļāļāļđāđāļŠāļĄāļąāļāļĢāļāļĩāđāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļĢāļāļĄāļēāļāđāļāļ 1-2 āļāļĩ āđāļāļīāļāđāļāļ·āļāļāļāļ°āļāđāļāļāđāļĢāļīāđāļĄāļāđāļāļāļĩāđ 25k - 30k
- āļŦāļēāļāļāļđāđāļŠāļĄāļąāļāļĢāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļĢāļāđāļāļŠāļēāļĒāļāļĩāđ 3-5 āļāļĩāļāļķāđāļāđāļ āļāļāļāļĢāļāđāļāļŠāļēāļĒāļāļĩāđāļĄāļēāļāđāļāļ āđāļāļīāļāđāļāļ·āļāļāļāļ°āļāļķāđāļāļāļĒāļđāđāļāļąāļāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļĩāđāļāđāļēāļāļĄāļē 40k - 55k (āđāļāđāļāđāļēāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļĄāļēāļāđāļāļ āđāļāđāđāļĄāđāļāļĢāļāļŠāļēāļĒ āļāļ°āļĒāļąāļāđāļĄāđāļĢāļąāļāļāļīāļāļēāļĢāļāļē).
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
āđāļĄāđāļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ60,000 - āļŋ100,000
āļāļąāļāļĐāļ°:
Kafka, Redis, Automation, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Design and review middleware architecture aligned with enterprise standards.
- Manage and govern middleware platforms (Web Server, App Server, MQ, Kafka, Redis).
- Oversee outsourcing/vendor teams and coordinate project delivery.
- Improve CI/CD deployment pipelines and automation.
- Monitor system performance, conduct root cause analysis (RCA).
- Manage lifecycle activities (capacity, patching, upgrades, EOS/EOL).
- Ensure system stability, security, and compliance with IT standards.
- QualificationsBachelor s degree in Computer Science, IT, Engineering, or related field.
- Hands-on in middleware (IBM MQ, Kafka).
- Experience with Web/App Servers (Apache, Nginx, Tomcat, JBoss, WebSphere, IIS).
- Familiar with Redis, Linux, Docker, Kubernetes.
- Exposure to monitoring tools and CI/CD.
- Middleware architecture & performance tuning.
- Analytical problem-solving.
- Good communication & English.
- Only shortlisted candidates will be contacted.
- Talent Acquisition Department
- Bank of Ayudhya Public Company Limited
- 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120
- Contact: Talent Acquisition Center: 0 2--- ---- #--183.
- FB: Krungsri Career.
- LINE: Krungsri Career.
- LINKEDIN: Krungsri.
- 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).
- āļāļđāđāļŠāļĄāļąāļāļĢāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāļāļĢāļ°āļāļēāļĻāļāļēāļĢāļāļļāđāļĄāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļŠāđāļ§āļāļāļēāļāļāļĢāļąāļāļĒāļēāļāļĢāļāļļāļāļāļĨāļāļāļāļāļāļēāļāļēāļĢāđāļāđāđāļāļĒāļāļēāļĢāļāļīāļĄāļāđāļĨāļīāļāļāđāļāļēāļāļĢāļđāļāļ āļēāļāļāļĩāđāļāļĢāļēāļāļāļāđāļēāļāļĨāđāļēāļ.
- āļ āļēāļĐāļēāđāļāļĒ (https://krungsri.com/b/privacynoticeth).
- āļŦāļĄāļēāļĒāđāļŦāļāļļ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļĨāļ°āļāļ°āļĄāļĩāļāļąāđāļāļāļāļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāļđāđāļŠāļĄāļąāļāļĢ āļāđāļāļāļāļĩāđāļāļđāđāļŠāļĄāļąāļāļĢāļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļēāļĢāđāļ§āļĄāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāļĻāļĢāļĩāļŊ.
- Remark: 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.
āļāļąāļāļĐāļ°:
Compliance, Research, Python
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Build and Optimize Modern AI Applications: Design and deploy a range of LLM-powered solutions, including Retrieval-Augmented Generation (RAG) pipelines, natural-language data querying, tool-using and function-calling workflows, and other Generative AI applications, to deliver accurate, grounded, and citable responses..
- Develop Statistical and Machine Learning Models: Develop, deploy, and maintain traditional statistical models and machine learning algorithms (e.g., regression, classification, clustering) to solve structured data problems and complement broader AI ini ...
- Collaborate with the Data Team: Work together on data preprocessing, embedding generation, and pipeline integration, leveraging the AWS enterprise data platform to supply clean, well-governed data for AI workloads..
- Optimize and Harden Production Services: Improve production AI services for reliability, scalability, latency, and cost, document solutions clearly, and communicate outcomes to both technical and non-technical stakeholders..
- Monitor and Observe Production AI: Implement tracing, observability, and dashboards to track quality, latency, drift, and cost-per-task across the model lifecycle..
- Ensure AI Ethical Standards, Compliance, and Data Privacy: Apply input/output guardrails, PII redaction, access controls, and grounding safeguards, in alignment with internal data governance policies and emerging AI regulations..
- Mitigate AI-Assisted Development Risks: Critically evaluate and audit AI-generated code to prevent security vulnerabilities, logic flaws, and technical debt, ensuring deep technical understanding rather than over-reliance on automated code generation..
- Monitor and Observe Production AI: Implement tracing, observability, and dashboards to track quality, latency, drift, and cost-per-task across the model lifecycle..
- Ensure AI Ethical Standards, Compliance, and Data Privacy: Apply input/output guardrails, PII redaction, access controls, and grounding safeguards, in alignment with internal data governance policies and emerging AI regulations..
- Mitigate AI-Assisted Development Risks: Critically evaluate and audit AI-generated code to prevent security vulnerabilities, logic flaws, and technical debt, ensuring deep technical understanding rather than over-reliance on automated code generation..
- Bachelor s Degree or higher in Computer Science, Artificial Intelligence, Data Science, Computer Engineering, or related technical field.
- 1 to 4 years of hands-on experience in AI/ML development, or an equivalent record of strong personal projects, research, or internships building applied AI/LLM solutions.
- Programming: Strong proficiency in Python for building AI/ML applications, including working with LLM APIs/SDKs and common AI libraries, as well as practical experience in data manipulation (e.g., using Pandas or SQL to clean and prepare data)..
- LLM Development: Hands-on experience building LLM-powered applications, including prompt design, tool/function calling, and connecting models to external data and tools..
- Retrieval & Vector Databases: Familiarity with vector databases, embedding models, and chunking/retrieval strategies (such as semantic chunking, hybrid search, and reranking)..
- Statistical Modeling & Machine Learning: Solid foundation in applied statistics, probability, and classical machine learning techniques. Proven ability to evaluate trade-offs and select the optimal modeling approach for specific business objectives..
- Cloud Computing: Experience with cloud platforms. AWS is the primary ecosystem for deploying and serving AI workloads, while familiarity with GCP or Azure is a welcome advantage..
- Engineering & LLMOps: Familiarity with version control (Git) and an awareness of general MLOps/LLMOps concepts (such as basic model testing, tracking performance, or managing prompts)..
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
āđāļĄāđāļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ
āļāļąāļāļĐāļ°:
AutoCAD, 3D Modeling, Automation, English
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ18,000
- āļĢāļąāļāļāļīāļāļāļāļāļāļēāļĢāļāļąāļāļāļēāđāļĨāļ°āđāļāļĢāļĩāļĒāļĄāļāļ§āļēāļĄāļāļĢāđāļāļĄāļŠāļģāļŦāļĢāļąāļāđāļāļĢāļ·āđāļāļāļĒāļāļāđāđāļĢāļ·āļāļĢāļļāđāļāđāļŦāļĄāđ āļāļąāđāļāđāļāđāđāļāļēāļĢāđāļāļĢāļĩāļĒāļĄāļāļēāļĢāđāļĢāļīāđāļĄāļāđāļāļāļāđāļāđāļēāļŠāļđāđāļāļēāļĢāļāļĨāļīāļāļĢāļ§āļĄāļāļķāļāļāļēāļĢāļāļāļŠāļāļāļāļĨāļīāļāļ āļąāļāļāđ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļ (SMC) āđāļĨāļ°āļāļđāđāļāļĨāļīāļāļāļīāđāļāļŠāđāļ§āļ (Vendor) āđāļāļ·āđāļāļāļąāļāļāļē āļāļīāļāļāļēāļĄ āđāļĨāļ°āļāļāļŠāļāļāļāļīāđāļāļŠāđāļ§āļāđāļŦāļĄāđāđāļŦāđāđāļāđāļāđāļāļāļēāļĄāđāļāļāļāļēāļ.
- āļāļąāļāļāļģāđāļĨāļ°āļāļĢāļąāļāļāļĢāļļāļāđāļāļāļŠāļēāļĢāļāđāļēāļāļ§āļīāļĻāļ§āļāļĢāļĢāļĄ āđāļāđāļ Drawing, ECN, ECR, EMN āļĢāļ§āļĄāļāļķāļāļāļđāđāļĨāļāđāļāļĄāļđāļĨ Part List āđāļāļĢāļ°āļāļ BPCS (AS400) āđāļŦāđāļŠāļāļāļāļĨāđāļāļāļāļąāļ I-BOM āđāļĨāļ° Update āļāļĒāđāļēāļāļāđāļāđāļāļ·āđāļāļ.
- āļ§āļēāļāđāļāļāđāļĨāļ°āđāļāļĢāļĩāļĒāļĄāļāļīāđāļāļŠāđāļ§āļāļŠāļģāļŦāļĢāļąāļāļāļēāļĢāļāļāļĨāļāļāļāļĢāļ°āļāļāļāđāļĨāļ°āļāļāļŠāļāļāđāļāđāļāđāļĨāļ°āļāļąāđāļāļāļāļ (PP, MPP āđāļĨāļ° Pilot).
- āļāļģāđāļāļīāļāļāļēāļāļāđāļēāļ Localization āđāļāļĒāļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļāđāļēāļĒāļāļąāļāļāļ·āđāļāđāļĨāļ° Supplier āđāļāļ·āđāļāļāļĨāļąāļāļāļąāļāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļąāļāļŦāļēāļāļīāđāļāļŠāđāļ§āļāđāļŦāđāđāļāđāļāđāļāļāļĒāđāļēāļāļāđāļāđāļāļ·āđāļāļāļāļēāļĄāđāļāđāļēāļŦāļĄāļēāļĒ.
- āļāļąāļāļāļģāđāļāļāļŠāļēāļĢāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļąāļāļāļēāļĢāļāļąāļāļāļēāļāļīāđāļāļŠāđāļ§āļ āđāļāđāļ QRS, LAR, LP āđāļĨāļ° KDCR.
- āļŠāļāļąāļāļŠāļāļļāļāļāļīāļāļāļĢāļĢāļĄ VA/VE āđāļāļ·āđāļāļāļąāļāļāļēāļāļļāļāļ āļēāļ āļĨāļāļāđāļāļāļļāļ (Cost Down) āđāļĨāļ°āđāļāļīāđāļĄāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāļāļēāļĢāļāļĨāļīāļ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļąāļāļŦāļē āļāļīāļāļāļēāļĄāļāļ§āļēāļĄāļāļ·āļāļŦāļāđāļēāļāļāļāđāļāđāļĨāļ°āļāļĢāļ§āļāļāļēāļĢāļāļģāļāļēāļ āđāļĨāļ°āļāļģāđāļŠāļāļāđāļāļ§āļāļēāļāļāļēāļĢāļāļĢāļąāļāļāļĢāļļāļāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļģāļāļēāļ.
- āļāļāļīāļāļąāļāļīāļāļēāļāļāļēāļĄāļāđāļĒāļāļēāļĒāļāļĢāļīāļĐāļąāļ āđāļĨāļ°āļāļēāļāļāļ·āđāļ āđ āļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ.
- āđāļāļĻāļāļēāļĒ āļāļēāļĒāļļ 22-35 āļāļĩ.
- āļ§āļļāļāļīāļāļĢāļīāļāļāļēāļāļĢāļĩ āļŠāļēāļāļē āļ§āļīāļĻāļ§āļāļĢāļĢāļĄāđāļāļĢāļ·āđāļāļāļāļĨ āļ§āļīāļĻāļ§āļāļĢāļĢāļĄāļāļļāļāļŠāļēāļŦāļāļēāļĢ āļŦāļĢāļ·āļāļŠāļēāļāļēāļ§āļīāļĻāļ§āļāļĢāļĢāļĄāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāđāļēāļāļ§āļīāļĻāļ§āļāļĢāļĢāļĄāļāļĨāļīāļāļ āļąāļāļāđāđāļŦāļĄāđ āļŦāļĢāļ·āļāļāļēāļĢāļāļąāļāļāļēāļāļīāđāļāļŠāđāļ§āļ 1-2 āļāļĩ (āļĒāļīāļāļāļĩāļāļīāļāļēāļĢāļāļēāļāļąāļāļĻāļķāļāļĐāļēāļāļāđāļŦāļĄāđāļāļĩāđāļĄāļĩāļāļ·āđāļāļāļēāļāđāļŦāļĄāļēāļ°āļŠāļĄ).
- āļŠāļēāļĄāļēāļĢāļāļāđāļēāļāđāļāļāļ§āļīāļĻāļ§āļāļĢāļĢāļĄāđāļāļĢāļ·āđāļāļāļāļĨāđāļāđ.
- āđāļāđāļāļēāļ Microsoft Office āđāļāđāļāļĩ.
- āļŦāļēāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāđāļēāļ BPCS (AS400), UG/NX, I-BOM āļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ.
- āļŠāļēāļĄāļēāļĢāļāļŠāļ·āđāļāļŠāļēāļĢāđāļĨāļ°āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļŦāļĨāļēāļĒāļŦāļāđāļ§āļĒāļāļēāļāđāļāđāļāļĩ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļ§āļēāļāđāļāļ āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđ āđāļĨāļ°āļāļēāļĢāđāļāđāđāļāļāļąāļāļŦāļē.
- āļŠāļēāļĄāļēāļĢāļāļŠāļ·āđāļāļŠāļēāļĢāļ āļēāļĐāļēāļāļąāļāļāļĪāļĐāđāļāļ·āđāļāļāļāđāļāđāļāđ.
- āļāļĢāļ°āļāļąāļāļŠāļąāļāļāļĄ.
- āđāļāļĩāđāļĒāļāļĒāļąāļ 400 - 500.
- āļāđāļēāļāļēāļŦāļēāļĢ 51 āļāļēāļ/āļ§āļąāļ.
- āļāđāļēāļāļēāļŦāļēāļĢāļāđāļ§āļāđāļ§āļĨāļē OT 16 - 30 āļāļēāļ.
- āļāđāļēāļĢāļąāļāļĐāļēāļāļĒāļēāļāļēāļĨāļāđāļāļāļĩ (āļāļāļąāļāļāļēāļ,āļāļīāļāļēāļĄāļēāļĢāļāļē,āļāļđāđāļŠāļĄāļĢāļŠ,āļāļļāļāļĢ).
- āļŠāļŦāļāļĢāļāđāļāļāļĄāļāļĢāļąāļāļĒāđ.
- āđāļāļīāļāļāļđāđāļĒāļ·āļĄāļĒāļēāļĄāļāļļāļāđāļāļīāļ.
- āļĨāļēāļāļąāļāļĢāđāļāļ 7 - 12 āļ§āļąāļ/āļāļĩ.
- āļĨāļēāļāļīāļ 3 āļ§āļąāļ/āļāļĩ.
- āļāļģāđāļāļĩāđāļĒāļ§āļāļĢāļīāļĐāļąāļāļāļĢāļ°āļāļģāļāļĩ/āļāļēāļāđāļĨāļĩāđāļĒāļāļŠāļąāļāļŠāļĢāļĢāļāđ.
- āļāļĢāļąāļāļāļēāļāđāļāļīāļāđāļāļ·āļāļāļāļĢāļ°āļāļģāļāļĩ.
- āđāļāļāļąāļŠāļāļĢāļ°āļāļģāļāļĩ.
- āļāļļāļāļĒāļđāļāļīāļāļāļĢāđāļĄāļāļāļąāļāļāļēāļ.
- āļĢāļāļĢāļąāļāļŠāđāļāļāļēāļĄāđāļŠāđāļāļāļēāļ.
- āļāļģāļāļēāļ āļāļąāļāļāļĢāđ - āļĻāļļāļāļĢāđ 08.00 - 17.00.
- āļ§āļąāļāļŦāļĒāļļāļ āđāļŠāļēāļĢāđ-āļāļēāļāļīāļāļĒāđ.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
āđāļĄāđāļāļģāđāļāđāļāļāđāļāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļ
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ24,000 - āļŋ30,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļĢāļđāđāļāļąāļ AP āđāļĨāļ°āļāļļāļĢāļāļīāļāļāļŠāļąāļāļŦāļēāļĢāļīāļĄāļāļĢāļąāļāļĒāđ.
- āđāļāđāļēāđāļāđāļŠāđāļāļāļēāļāļāļēāļĢāļŠāļĢāđāļēāļāļāđāļēāļāļāļąāđāļāđāļāđāļāđāļāļāļāļāļ.
- āļāļąāļāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļĢāļīāļāļāļēāļāļāļĩāđ āđ Site Engineer āđāļĨāļ°āļāļĩāļĄ Construction.
- āđāļĢāļĩāļĒāļāļĢāļđāđāļāđāļēāļāļāļīāļāļāļĢāļĢāļĄāļāđāļēāļāđāļāļĢāļāļŠāļĢāđāļēāļ āļāļēāļāļĢāļ°āļāļ āđāļĨāļ°āļāļēāļāļŠāļāļēāļāļąāļāļĒāļāļĢāļĢāļĄ.
- āļāļāļĨāļāļāđāļāđāđāļāļāļĒāđāļŦāļāđāļēāļāļēāļ āđāļāđāļ āļāļēāļāļĨāđāļēāļāđāļē QC āđāļĄāđāļāđāļēāļ āļāļāļāļģāļāļąāļ āđāļĨāļ°āļāđāļāļāļŠāđāļāļĄāļāļāļāđāļēāļāđāļŦāđāļāļąāļ.
- āļāđāļēāļāļļāļāļāļĒāļēāļāļĢāļđāđāļāļąāļāļāļēāļ Site Engineer āđāļŦāđāļĄāļēāļāļāļ§āđāļēāļāļĩāđāđāļāļĒāļāđāļēāļāđāļāļāļģāļĢāļē.
- āļĄāļēāļāđāļāļŦāļēāļāļģāļāļāļāļāđāļ§āļĒāļāļąāļ§āđāļāļāļāļĩāđ Site Engineer (AP Bootcamp Program).
- āļ§āļąāļāļāļīāļāļāļĢāļĢāļĄ āļ§āļąāļāđāļŠāļēāļĢāđ āļāļĩāđ 8 āļŠāļīāļāļŦāļēāļāļĄ 2026.
- āļ āļāļēāļāļēāļĢāđāļĨāļāļĢāļąāļāļāļē (āļāļĢāļĩāļāļļāļāļāđāļēāđāļāđāļāđāļēāļĒ).
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- 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/bprivacynoticeen).
- 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.
āļāļąāļāļĐāļ°:
CAD, SketchUp, Power BI
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āđāļāđāļāđāļĨāļ°āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļĒāļāļāļāļēāļĒ / āļāļēāļĢāļāļđāļāļāļąāļāļāđāļēāļ (Absorption Rate) āļĢāļēāļĒāđāļāļ·āļāļ.
- āļāļģāļāļ§āļāđāļĨāļ°āļāļĢāļąāļ Target Stock, Safety Stock, āđāļĨāļ° Inventory Turnover Rate.
- āļāļĢāļ§āļāļŠāļāļāđāļĨāļ°āļĢāļēāļĒāļāļēāļ Stock Availability Rate āļāļāļāđāļāđāļĨāļ°āđāļāļĢāļāļāļēāļĢ.
- āļāļģ Dashboard āļŠāļĢāļļāļāļŠāļāļēāļāļ°āļāđāļēāļāļāļāđāļŦāļĨāļ·āļ, āļĒāļāļāļāļēāļĒ, āđāļĨāļ°āļāļąāļāļĢāļēāļŦāļĄāļļāļāđāļ§āļĩāļĒāļ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļāđāļēāļĒāļāđāļāļŠāļĢāđāļēāļ, āļāđāļēāļĒāļāļēāļĒ, āđāļĨāļ°āļāđāļēāļĒāļ§āļēāļāđāļāļ āđāļāļ·āđāļāļāļĢāļąāļāļāļĢāļīāļĄāļēāļāļāļēāļĢāļāļĨāļīāļ/āļāđāļāļŠāļĢāđāļēāļāđāļŦāđāđāļŦāļĄāļēāļ°āļŠāļĄ.
- āļāļāļāđāļāļāļāļĢāļ°āļĄāļēāļāļĢāļēāļāļē.
- āļāļĢāļīāļŦāļēāļĢāđāļĨāļ°āļāļąāļāļāļēāļĢāļāđāļāļāļļāļāđāļāļĢāļāļāļēāļĢ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđ 2-5 āļāļĩ āļāđāļēāļāđāļāļāđāļēāļāļĄāļēāļāļāļ§āđāļē 1 āļāđāļēāļ.
- Inventory Control / Planning.
- Supply Chain / Demand Planning.
- Cost Estimate.
- Property Management / Real Estate Development.
- āļāļĢāļīāļāļāļēāļāļĢāļĩ āļŠāļēāļāļē āļ§āļīāļĻāļ§āļāļĢāļĢāļĄāđāļĒāļāļē, āđāļĻāļĢāļĐāļāļĻāļēāļŠāļāļĢāđ, āļāļēāļĢāļāļąāļāļāļēāļĢāļāļļāļāļŠāļēāļŦāļāļĢāļĢāļĄ āļŦāļĢāļ·āļ āļāļŠāļąāļāļŦāļēāļĢāļīāļĄāļāļĢāļąāļāļĒāđ.
- āļāļĢāļīāļāļāļēāđāļ (āļŦāļēāļāļĄāļĩ) āđāļāļāđāļēāļ Construction Management āļŦāļĢāļ·āļ Supply Chain Management āļŦāļĢāļ·āļ Real Estate Development āļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ.
- Skills.
- Microsoft Excel / PowerPoint.
- Auto CAD / Sketchup.
- Microsoft Power Query / Pivot Table / Lookup / Data Visualization.
- Power BI / Tableau.
- āļāļ·āđāļāļāļēāļ Data Analytics (āđāļāđāļ Python, SQL, Google Data Studio, Automation (āļŦāļēāļāļĄāļĩ).
- āļāđāļēāļĒāļāļĢāļąāļāļĒāļēāļāļĢāļāļļāļāļāļĨ.
- āļāļĢāļīāļĐāļąāļ āđāļāļŠāļāļĩ āđāļāļŠāđāļŠāļ āļāļāļĢāđāļāļāđāļĢāļāļąāđāļ āļāļģāļāļąāļ (āļĄāļŦāļēāļāļ)āļāļēāļāļēāļĢāļāļīāļāļ§āļąāļāļĢ āļāļēāļ§āđāļ§āļāļĢāđ 3 āļāļąāđāļ 10
- āđāļĨāļāļāļĩāđ 1010 āļāļāļāļ§āļīāļ āļēāļ§āļāļĩ - āļĢāļąāļāļŠāļīāļ
- āđāļāļ§āļāļāļāļļāļāļąāļāļĢ āđāļāļāļāļāļļāļāļąāļāļĢ āļāļĢāļļāļāđāļāļāļŊ 10900
- āđāļāļĢāļĻāļąāļāļāđ 02------544.
- Website: www.scasset.com.
āļāļąāļāļĐāļ°:
ETL
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- 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..
āļ§āļīāļĻāļ§āļāļĢāļĢāļ°āļāļ - āļĢāļēāļĒāļĨāļ°āđāļāļĩāļĒāļāļāļēāļāļāļąāđāļ§āđāļāđāļĨāļ°āļŦāļāđāļēāļāļĩāđ
āļ āļēāļāļĢāļ§āļĄ:āļ§āļīāļĻāļ§āļāļĢāļĢāļ°āļāļāļĄāļĩāļŦāļāđāļēāļāļĩāđāļĢāļąāļāļāļīāļāļāļāļāđāļāļāļēāļĢāļāļāļāđāļāļ āļāļīāļāļāļąāđāļ āđāļĨāļ°āļāļģāļĢāļļāļāļĢāļąāļāļĐāļēāļĢāļ°āļāļāļāļāļĄāļāļīāļ§āđāļāļāļĢāđāđāļĨāļ°āđāļāļĢāļ·āļāļāđāļēāļĒ āļāļ§āļāđāļāļēāļĄāļĩāļŦāļāđāļēāļāļĩāđāļĢāļąāļāļāļīāļāļāļāļāđāļāļāļēāļĢāļāļģāđāļŦāđāļĄāļąāđāļāđāļāļ§āđāļēāļĢāļ°āļāļāļĄāļĩāļāļ§āļēāļĄāļāļĨāļāļāļ āļąāļĒ āđāļāļ·āđāļāļāļ·āļāđāļāđ āđāļĨāļ°āļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ āļ§āļīāļĻāļ§āļāļĢāļĢāļ°āļāļāļāđāļāļāļĄāļĩāļāļ§āļēāļĄāđāļāđāļēāđāļāđāļāđāļāļāļĒāđāļēāļāļāļĩāđāļāļĩāđāļĒāļ§āļāļąāļāļŪāļēāļĢāđāļāđāļ§āļĢāđ āļāļāļāļāđāđāļ§āļĢāđ āđāļĨāļ°āļĢāļ°āļāļāđāļāļĢāļ·āļāļāđāļēāļĒāļāļāļāļāļāļĄāļāļīāļ§āđāļāļāļĢāđ
āļāļ§āļēāļĄāļĢāļąāļāļāļīāļāļāļāļāļĢāđāļ§āļĄāļāļąāļ:
āļāļēāļĢāļāļāļāđāļāļāļĢāļ°āļāļ:
āļ§āļīāļĻāļ§āļāļĢāļĢāļ°āļāļāļĄāļĩāļŦāļāđāļēāļāļĩāđāļāļāļāđāļāļāđāļĨāļ°āļ§āļēāļāļĢāļ°āļāļāļāļāļĄāļāļīāļ§āđāļāļāļĢāđāđāļĨāļ°āđāļāļĢāļ·āļāļāđāļēāļĒ āļāđāļāļāļĄāļĩāļāļ§āļēāļĄāđāļāđāļēāđāļāļāļĒāđāļēāļāļāđāļāļāđāļāđāđāļāļĩāđāļĒāļ§āļāļąāļāļŪāļēāļĢāđāļāđāļ§āļĢāđ āļāļāļāļāđāđāļ§āļĢāđ āđāļĨāļ°āļĢāļ°āļāļāđāļāļĢāļ·āļāļāđāļēāļĒāļāļāļāļāļāļĄāļāļīāļ§āđāļāļāļĢāđ
āļāļēāļĢāđāļāđāđāļāļāļąāļāļŦāļē:
āļ§āļīāļĻāļ§āļāļĢāļĢāļ°āļāļāļāđāļāļāļŠāļēāļĄāļēāļĢāļāđāļāđāđāļāđāļĨāļ°āđāļāđāđāļāļāļąāļāļŦāļēāđāļāđ āļāļĩāđāđāļāļīāļāļāļķāđāļāļāļąāļāļĢāļ°āļāļāļāļāļĄāļāļīāļ§āđāļāļāļĢāđāđāļĨāļ°āđāļāļĢāļ·āļāļāđāļēāļĒāđāļāđ
āļāļ§āļēāļĄāļāļĨāļāļāļ āļąāļĒ:
āļ§āļīāļĻāļ§āļāļĢāļĢāļ°āļāļāļāđāļāļāļĄāļąāđāļāđāļāļ§āđāļēāļĢāļ°āļāļāļĄāļĩāļāļ§āļēāļĄāļāļĨāļāļāļ āļąāļĒāđāļĨāļ°āļāļēāļĢāļĨāļ°āđāļĄāļīāļāļāļ§āļēāļĄāļāļĨāļāļāļ āļąāļĒāđāļāđ āđāļāđāļĢāļąāļāļāļēāļĢāđāļāđāđāļāļāļĒāđāļēāļāļĢāļ§āļāđāļĢāđāļ§āđāļĨāļ°āļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ
āļāļēāļĢāļāļģāļĢāļļāļāļĢāļąāļāļĐāļē:
āļ§āļīāļĻāļ§āļāļĢāļĢāļ°āļāļāļāđāļāļāļāļģāļĢāļļāļāļĢāļąāļāļĐāļēāļĢāļ°āļāļāđāļĨāļ°āđāļāļĢāļ·āļāļāđāļēāļĒāđāļāļ·āđāļāđāļŦāđāđāļāđāđāļāļ§āđāļēāļāļģāļāļēāļāđāļāđāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāđāļĨāļ°āļāļĨāļāļāļ āļąāļĒ
āļāļēāļĢāļāļąāļāļāļģāđāļāļāļŠāļēāļĢ:
āļ§āļīāļĻāļ§āļāļĢāļĢāļ°āļāļāļāđāļāļāļāļąāļāļāļķāļāļāļēāļĢāđāļāļĨāļĩāđāļĒāļāđāļāļĨāļāđāļĨāļ°āļāļēāļĢāļāļĢāļąāļāļāļĢāļļāļāļāļąāđāļāļŦāļĄāļāļāļāļāļĢāļ°āļāļāđāļĨāļ°āđāļāļĢāļ·āļāļāđāļēāļĒ
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āļĒāļāļāļāļīāļĒāļĄ
āļĨāļāļāļāļģ 5 āļŠāļīāđāļāļāļĩāđāļŦāļĨāļąāļāđāļĨāļīāļāļāļēāļ āļāļĩāļ§āļīāļāļāļļāļāļāļ°āđāļāļĨāļĩāđāļĒāļāđāļāļāļĨāļāļāļāļēāļĨ
āļāļģāđāļāļ°āļāļģāļāđāļēāļāļāļēāļāļĩāļāļāļĢāļīāļĐāļąāļ 7 āđāļāļāļāļĩāđāļāļļāļāđāļĄāđāļāļ§āļĢāļāļģāļāļēāļāļāđāļ§āļĒ
āļāļģāđāļāļ°āļāļģāļāļēāļĢāļŦāļēāļāļēāļāđāļāļīāļāđāļāļĨāļŠāļļāļāļĒāļāļ 50 āļāļĢāļīāļĐāļąāļāļāļĩāđāļāļāļĢāļļāđāļāđāļŦāļĄāđāļāļĒāļēāļāļĢāđāļ§āļĄāļāļēāļāļāđāļ§āļĒāļĄāļēāļāļāļĩāđāļŠāļļāļ 2026
āļāđāļēāļ§āļŠāļēāļĢāđāļŦāļĄāđāđ
