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Job type:

Full-time

• Database Administrator.
• วันที่.
• 08/07/2569.
• Database Monitoring: ติดตามและตรวจสอบการทำงานของ Database (เช่น CPU, Memory, Disk Space) เพื่อให้ระบบทำงานได้อย่างราบรื่น
• User Management ดูแลจัดการสิทธิ์การเข้าถึง (User Access) ของ Database ตามนโยบายความปลอดภัย
• Backup & Recovery ตรวจสอบสถานะ Backup ประจำวัน และช่วยเหลือในการทดสอบการกู้คืนข้อมูล (Restore Test)
• Basic SQL & Troubleshooting เขียนคำสั่ง SQL เบื้องต้นเพื่อดึงข้อมูล
• Documentation จัดทำและอัปเดตเอกสารคู่มือการทำงาน (Standard Operating Procedures - SOP) และระบบฐานข้อมูล.
• ระดับการศึกษา: ปริญญาตรี คณะวิศวกรรมศาสตร์, วิทยาศาสตร์, เทคโนโลยีสารสนเทศ หรือสาขาที่เกี่ยวข้อง
• มีความเข้าใจในหลักการของระบบฐานข้อมูลเชิงสัมพันธ์ (RDBMS)
• สามารถเขียนคำสั่ง SQL พื้นฐานได้ (Select, Insert, Update, Delete, Joins)
• มีความคุ้นเคยกับระบบปฏิบัติการพื้นฐาน (Windows Server หรือ Linux)
• มีใจรักในการเรียนรู้ (Eager to learn) และพร้อมพัฒนาตัวเองเสมอ
• มีความละเอียดรอบคอบสูง
• สามารถสื่อสารและทำงานร่วมกับทีมได้ดี.

Experience:

No experience required

Skills:

Thai

Job type:

Full-time

• 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.

Job type:

Full-time

• 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.

Experience:

No experience required

Skills:

Java, Full Stack, node.js, Angular.js, Thai, English, Mandarin

Job type:

Full-time

• หากมีประสบการณ์ด้าน IT หรือ Software Development อย่างน้อย 2 ปี จะรับพิจารณาพิเศษ
• ยินดีรับเด็กจบใหม่.

Experience:

5 years required

Skills:

Business Development, Customer Relationship Management (CRM), Negotiation, English, Thai

Job type:

Full-time

• Serve as a consultative business partner, translating complex technology solutions into high-value business opportunities for B2B and B2G sectors.
• Build, manage, and maintain strong long-term relationships with clients, partners, and key government stakeholders.
• Lead customer engagement activities to identify business needs, address pain points, and strengthen the opportunity pipeline.
• Analyze Government Terms of Reference (TOR) and lead end-to-end proposal development to support competitive bidding and project success.
• Identify and develop strategic partnerships and collaboration opportunities, both locally and internationally.
• Drive the full business development cycle from opportunity identification and negotiation to successful project acquisition.
• Work closely with technical teams and external stakeholders to support the successful delivery of complex IT projects.
• Bachelor s degree or above in Engineering, Computer Science, Software, IT, or related technical disciplines.
• Minimum 5 years of proven experience in Government / Public Sector business development or ICT solution sales.
• Overseas experience or proven ability to work in international business environments and cross-border public sector projects is a strong advantage.
• Demonstrated success in partner development, stakeholder management, and winning large-scale projects.
• Excellent command of English, both spoken and written, for international coordination and executive-level presentations.
• Strong negotiation, communication, and stakeholder management skills.
• Strong analytical thinking, especially in interpreting complex technical requirements and Government TOR documents.
• Results-driven, resilient, and able to work effectively in a dynamic business environment.
• Preferred Qualifications.
• Strong understanding of B2G sales cycles, government bidding, and public procurement processes.
• Familiarity with Blockchain, Digital Identity (DID), Cybersecurity, or advanced software technology solutions.
• Ability to work effectively with cross-functional technical teams and senior-level stakeholders.

Experience:

3 years required

Skills:

Python

Job type:

Full-time

• Embed with enterprise customers to understand their workflows, data environments, and operational constraints and build AI solutions that fit their reality, not a sanitized sandbox.
• Own implementations end-to-end: from scoping and solution design through integration, testing, deployment, and handoff.
• Rapidly diagnose technical blockers messy data, broken integrations, edge cases, legacy system quirks and solve them yourself without waiting on a queue.
• Agentic AI Engineering.
• Design, build, and orchestrate multi-step AI agents that automate complex workflows across enterprise systems.
• Work with frameworks like LangGraph, LangChain, or similar to architect reliable, production-ready agentic pipelines.
• Apply sound judgment about what should be automated vs. what requires human-in-the-loop, and design accordingly.
• Continuously tune agent behavior based on real-world usage patterns you observe in the field.
• Technical Breadth.
• Build custom integrations, connectors, and data pipelines to bridge enterprise tech stacks with AI infrastructure.
• Work across the stack APIs, vector databases, LLM APIs, cloud infrastructure, and front-end surfaces to deliver complete, working systems.
• Write clean, maintainable code that others can build on top of.
• Product & Feedback Loop.
• Identify patterns across customer engagements that signal genuine product opportunities and advocate for them with engineering and product teams with precision.
• Contribute to building internal tooling and repeatable delivery assets (deployment templates, agent blueprints, evaluation frameworks) that make the next implementation faster.
• Optionally: take ownership of building product features or internal tools that emerge from your field insights.
• Must-Haves.
• 3+ years of software engineering experience, with at least 1-2 years focused on AI/ML systems in production environments.
• Hands-on experience building with LLMs (OpenAI, Anthropic, Gemini, or open-source models) prompt engineering, RAG pipelines, fine-tuning, evaluation.
• Experience designing and deploying agentic AI workflows multi-step reasoning, tool use, memory, planning.
• Strong programming skills in Python; comfortable with APIs, cloud services (AWS/GCP/Azure), and enterprise databases.
• Proven ability to work directly with enterprise customers or technical stakeholders you can translate complexity into clarity.
• End-to-end ownership mindset: you're not done when the code ships; you're done when the customer succeeds.
• Strong Signals We'll Look For.
• You've debugged a production AI system that was misbehaving inside a customer's environment and fixed it under pressure.
• You've built something agentic that actually ran in production not just a toy demo.
• You have opinions about AI system design, and you can back them up with experience.
• You've identified a customer problem that became a product feature.
• You've shipped something end-to-end a product, a tool, a system that you designed yourself from scratch.
• The Kind of Person Who Thrives Here Genuinely obsessed with AI. You follow the field closely, experiment constantly, and have strong convictions about where it's going.
• Builder-first. When you see a problem, your instinct is to build a solution not write a requirements doc and wait.
• Comfortable with ambiguity. Enterprise environments are messy. You adapt fast, learn from what you observe, and iterate in real time.
• Outcome-driven. You measure success by customer impact, not lines of code or tickets closed.
• Low ego, high ownership. You'll do what it takes including the unglamorous work to get something across the finish line.
• Flexible working hour.
• Hybrid Working.
• Group health insurance.
• You pick your equipment (Mac / Windows).
• Grab Food and Grab Transportation.
• Free snacks & drinks (at the office).
• Pay 100% for Job-related Training Courses.
• Free language course and certificate fee.

Skills:

Kafka, Redis, Automation, English

Job type:

Full-time

• 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).
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย (https://krungsri.com/b/privacynoticeth).
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.
• 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.

Skills:

Automation, Software Architecture, Java

Job type:

Full-time

• Design and develop LLM orchestration and prompt engineering for complex, long running workflows.
• Design human in the loop mechanisms and ensure transparency and explainability of AI driven decisions.
• Develop robust evaluation frameworks, guardrails, and reliability engineering practices for LLM powered systems.
• Develop multi agent systems, including agent roles, coordination, memory management, and goal alignment.
• Integrate, optimize, and evaluate LLMs across agentic AI, retrieval augmented generation (RAG), and prompt management platforms.
• Build data pipelines and automation for ingesting, transforming, and monitoring diverse content sources.
• Collaborate closely with AI Product Management, UIUX Designer, Architecture, Data Acquisition, and Data Lakehouse Engineering teams.
• Own project delivery timelines, manage risks and dependencies, and ensure successful on time execution.
• Stay up to date with emerging AI/ML frameworks, techniques, and tooling.
• Bachelor's or master's degree in computer science, Engineering, or a related technical field.
• Proven software engineering experience with a strong record of leading and delivering successful projects.
• Deep understanding of software architecture, microservices, API design, and event driven patterns.
• Proficiency in modern programming language, such as Java or Python.
• Hands on experience with AI / LLM technologies, including prompt engineering, evaluation, fine tuning, embeddings, RAG, and model deployment.
• Experience with cloud platforms (AWS) and containerization technologies such as Docker and Kubernetes.
• Familiarity with modern observability practices, including metrics, distributed tracing, and log aggregation, CI/CD pipelines, and DevOps practices.
• Excellent problem solving, communication, and leadership skills.
• Ability to operate independently while enabling team success.
• Nice to Have: Experience building AI infrastructure evaluation pipelines, prompt/version management, vector or embedding stores, and model serving with the ability to optimize and fine tune models for latency, quality, and cost.
• Senior Associate
• Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
• LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
• Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
• Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
• We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
• You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
• LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
• Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it s used for, and how it s obtained, your rights and how to contact us as a data subject.
• If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Skills:

Java, Full Stack, Web Services

Job type:

Full-time

• Drive development and enhancements within the Krungsri Lending Hub platform.
• Work with cross-functional teams to gather requirements and establish technical specifications.
• Continuously collaborate with teams on future enhancements to the solution based on business needs.
• Troubleshoot and debug complex issues in production environments, providing timely resolutions and preventive measures.
• Bachelor's degree or higher in computer science or a related field.
• At least 7 years of experience in IT, specifically in the banking business.
• Proficient in Java Full stack, Java Script, designing, and implementing APIs, Web Services, Microservices and OOP.
• Basic knowledge of operating systems such as Windows Server, UNIX or Linux, and cloud platforms like RedHat OpenShift Container Platform.
• Direct experience in Java programming, developing, or implementing APIs, Web Services, Microservices, and databases such as MySQL or Oracle.
• Familiarity with lending functionalities and loan processes.
• Experience in workflow management tools and process transformation.
• Programming skills: JAVA Full Stack, JAVA Script, HTML, Oracle SQL, MSSQL, C#.net, Rest APIs, XML, JSON, Angular, Node.js.
• Operating System/Platform knowledge: Unix, Linux/Redhat, Windows.
• Experience in RedHat OpenShift Container Platform.
• Strong analytical skills and the ability to quickly learn complex processes.
• Experience with DevOps practices, CI/CD pipelines, automated testing, and software quality assurance processes.
• Proven experience in Agile/Scrum delivery environments.
• Experience managing development activities across the full Software Development Life Cycle (SDLC).
• 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.

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:

5 years required

Skills:

Automation, SQL, Statistical Analysis

Job type:

Full-time

• Generate business insights using distributed data sets to build reports, dashboards and visualizations using appropriate technologies.
• Manage data related contexts ranging across medium to large sized data sets, structured/unstructured or streaming data, extraction, transformation, curation, modelling for developing reports and dashboards to solve business problems and provide insights.
• Partner with data architects, data engineers and data analysts to design and build s ...
• Work closely with data analysts, SMEs and stakeholders to understand the data, analysis needs, and outcomes; translate this understanding into effective BI, reporting and data visualizations solutions.
• Design and build robust data visualisation solutions, with focus on automation, performance, resilience, scalability and security.
• Ensure the accuracy, consistency, and reliability of data visualizations by validating the data sources, implementing DQ controls and analysing outcomes.
• Document data sources in enterprise data catalogue with metadata, lineage and classification information. Develop and maintain a library of dashboards, reports and related data visualisation assets.
• Develop models and prototypes to provide observations, identify trends and patterns with leadership to assess potential solutions to business requirements.
• Provide training and ongoing support to business users in the use and interpretation of data visualizations.
• Actively participate and contribute to the Data & Analytics Community to create and enhance data visualisation standards and best practices.
• Bachelor s degree (or equivalent) in Computer Science, Data Science, Information Systems, or a related field.
• 5+ years of related practical experience in creating and implementing effective data visualizations, dashboards, and reports, ideally within the insurance industry.
• Proficiency in SQL and data visualization tools like Qliksense, PowerBI, D3.js, etc. Some experience in statistical analysis tools and languages like R or Python is desirable.
• Understanding of data analysis methodologies, techniques and an ability to work with complex, large data sets.
• Hands-on experience with database systems - Cloud technologies (e.g. Azure, AWS), and other database systems - traditional RDBMS (e.g. MS Synapse, SQL Server, Snowflake), and NoSQL databases (e.g. Cosmos, MongoDB, DynamoDB).
• Practical knowledge across data extraction and transformation tools and platforms (e.g. Informatica, DataBricks).
• Proven success in a collaborative, team-oriented environment, preferably in Scaled Agile model.
• Strong Communication Skills, with ability to communicate complex information and data effectively to both technical and non-technical audiences. Familiar with storytelling techniques, using data.

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:

TypeScript, node.js, MongoDB, English

Job type:

Full-time

• Collaborate with the product team to ensure effective implementation of products.
• Perform full lifecycle software development, from design to testing.
• Take ownership and accountability for assigned tasks and projects.
• Design, code, document, and test software using accepted languages and frameworks.
• Follow established coding standards and processes.
• Commit to delivering high-quality products to end-users.
• Bachelor's degree in Computer Science, Engineering, or related field.
• 5+ years of relevant work experience in software development.
• Professional proficiency in written and verbal English.
• Demonstrated track record in building efficient and scalable architectural solutions.
• Strong expertise with Javascript, ECMAScript, and Typescript..
• Strong expertise with backend technologies and Node.js runtime..
• Preferred experience with NestJS.
• Preferred experience with React and Next.js.
• Knowledge of design patterns, object-oriented programming (OOP), and functional programming concepts.
• Experience with backend performance optimization.
• Experience in handling, configuring, optimizing, and monitoring MongoDB, PostgreSQL, Elasticsearch..
• Experience in test automation techniques.
• Experience in REST and third-party API integrations.
• Familiarity with secure software development practices.
• Exposure to DevOps practices.
• Exposure to collaborating tools like GitHub, JIRA, Confluence.
• Compensation and Benefits.
• Competitive base salary.
• 10 days of annual leave in the first year, growing by 1 day per year to 15 days per year.
• 5 days of business leave.
• 10 - 20% Share of commission from owner and client referral.
• Health insurance on top of standard social security.
• BOI-sponsored visa & work permit for expats.
• Work Culture.
• International work environment and culture.
• 5 work days per week with 2 days work-from-home.
• Established and defined career paths.
• Monthly Celebration & Parties.
• Company Values.
• Customer & Partner First.
• Integrity & Reliability.
• Team Collaboration & Innovation.
• Proactive Ownership.
• Performance Culture: Work hard, have fun, make history.

Skills:

Finance, Excel, Power point

Job type:

Full-time

• Consult and support for all related the Cash Management System s matter.
• Co-ordinate with all stakeholders in order to solve any concerns.
• Convert the client s transaction files into Bank format based on the implement team requested.
• Monitor the Cash Management System s transactions.
• Maintain the operation section s servers.
• Setup and uphold the internal client who is willing to use the Cash Management System.
• To keep on update all related branches master in the Cash Management System.
• User acceptance testing for all software which is related to the Operation Section.
• Provide the monthly report for internal user in order to support the business management.
• Provide the monthly report in file for Provincial Cash Services Section (MK Customer).
• Recording the issue in the issue log that impact routine job and consolidate it into the monthly report.
• Process the Cash management System s end of day based on the provided shift.
• Monitor the transaction as well as support the clients on holiday based on the schedule except Sunday.
• To work on ad-hoc jobs based on the assignment.
• Bachelor s degree in finance, Business Administration, or related field.
• Minimum 1 year of experience in foreign remittance.
• Minimum 1 year of experience in any fields.
• Knowledge and experience in Banking industry.
• Understanding the Cash Management process is a plus.
• Being familiar with MSOffice (Excel, Word, Power Point, Visio).
• 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:

SAP, ERP, Automation

Job type:

Full-time

• Lead the design, configuration, and implementation of SAP PM solutions aligned with business requirements.
• Manage and support packaged/SaaS applications to ensure system stability, performance, and scalability.
• Oversee application releases, enhancements, and integration activities across multiple teams.
• Collaborate with cross-functional stakeholders to ensure seamless delivery of end-to-end solutions.
• Analyze system performance and proactively identify opportunities to improve efficiency and reliability.
• Provide subject matter expertise and guide team decisions on complex technical and functional issues.
• Drive continuous improvement initiatives, including documentation of best practices and standards.
• Explore and recommend new tools, technologies, and methodologies to enhance application management and user experience.
• Required QualificationsStrong experience in SAP Plant Maintenance (PM) as a Functional Lead.
• Proven expertise in configuring and supporting SAP S/4 applications.
• Experience working with packaged or SaaS-based enterprise solutions.
• Strong understanding of system integration, release management, and application lifecycle processes.
• Ability to lead teams, manage stakeholders, and drive decision-making in complex environments.
• Excellent problem-solving, analytical, and communication skills.
• Experience working in cross-functional, multi-team delivery environments.
• Preferred QualificationsExperience with SAP Enterprise Asset Management (EAM).
• Familiarity with low-code platforms, APIs, and modern application tools.
• Exposure to large-scale ERP or digital transformation programs.
• Strong focus on innovation, automation, and continuous improvement.

Skills:

SAP, Good Communication Skills, Analytical Thinking

Job type:

Full-time

• Design, implement and deploy SAP solutions to achieve defined business goals.
• Be part of the project deliver team, leading and support implementation.
• Responsible to create requirement traceability matrix, design documents, test scripts.
• Drive discussion with client business during blueprint phase to gather requirements, solution design sign off, demo of configured solution, final UAT sign off.
• Maintain skills in SAP applications process design and configuration.
• SAP application design, development, integration, testing, deployment and technical architecture.
• Use Data Services to support client.
• Manage small teams and or work efforts if in an individual contributor role at a client or within Accenture.
• At least 3 years of experience in SAP modules such as FICO, FI-Treasury, FM, CO, MM, PS, PM and Data Migration or other SAP modules.
• Experience with S/4 Hana is preferred.
• Have good communication skills.
• Have good logical and analytical thinking.
• We're hiring Analyst to Senior Manager Levels.

Skills:

ETL, Big Data

Job type:

Full-time

• 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!.

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.

Job type:

Full-time

• 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.

Skills:

Finance, Accounting, Docker

Job type:

Full-time

• 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.