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Experience:

3 years required

Skills:

Project Management, Quality Assurance, Recruitment, Leadership Skill, Assurance

Job type:

Full-time

• Lead and manage engineering teams, including hiring, training, and performance management of engineering staff.
• Oversee the planning, execution, and completion of engineering projects in accordance with timelines and budgets.
• Develop and implement engineering strategies and processes to improve operational efficiency and productivity.
• Ensure compliance with industry standards, regulations, and safety requirements across all engineering activities.
• Conduct technical reviews and quality assurance checks to maintain high standards of work.
• Communicate with stakeholders, clients, and senior management regarding project status, risks, and outcomes.
• Identify and resolve technical challenges and bottlenecks in project delivery.
• Foster a collaborative team environment that encourages innovation and continuous improvement.
• Manage engineering budgets and control costs without compromising quality.
• Stay updated with the latest engineering technologies and best practices within the industry.
• What we're looking for.
• Bachelor's degree in Engineering or a related field; Master's degree is preferred.
• Minimum of 7-10 years of experience in engineering roles, with at least 3-5 years in a management or supervisory capacity.
• Strong knowledge of engineering principles, practices, and industry standards.
• Proven experience in project management and successful delivery of complex engineering projects.
• Excellent leadership and team management skills with the ability to motivate and develop staff.
• Strong problem-solving abilities and technical acumen.
• Proficiency in engineering software and tools relevant to the industry.
• Excellent communication and interpersonal skills, both written and verbal.
• Experience with budget management and cost control.
• Knowledge of safety regulations and quality assurance standards.
• Ability to work collaboratively with cross-functional teams and stakeholders.
• Strong organisational and time management skills.
• What we offer.
• At Mit Mongkol Industry Co., Ltd., we are committed to providing a supportive and professional working environment. We offer competitive remuneration packages commensurate with experience and qualifications. Our benefits include opportunities for professional development and career advancement, a collaborative workplace culture that values innovation and teamwork, and a commitment to work-life balance. We provide our employees with the tools and resources needed to succeed in their roles and encourage continuous learning and improvement. We also offer health and welfare benefits designed to support the wellbeing of our staff.
• About us.
• Mit Mongkol Industry Co., Ltd. is a respected engineering and industrial company operating in Bangkok. We are committed to delivering high-quality engineering solutions and services to our clients whilst maintaining the highest standards of professionalism, safety, and integrity. Our company values innovation, excellence, and teamwork, and we strive to create an environment where our employees can grow and develop their careers. With a strong track record of successful projects and satisfied clients, Mit Mongkol Industry Co., Ltd. is a dynamic and growing organisation in the engineering sector.
• Apply now.
• If you are an experienced engineering professional ready to take on a management role and lead a dynamic team, we would like to hear from you. Please submit your CV, a cover letter outlining your relevant experience, and any supporting documents to our recruitment team. We look forward to considering your application.

Skills:

Full Stack

Job type:

Full-time

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
• Join a team of talented engineers who are passionate about front-end development. Our team is dedicated to building cutting-edge web applications using Typescript, React, and Redux.
• As a Front-End Engineering Manager at Agoda, you will lead a team of talented engineers building scalable, high-performance web applications that power user experiences at global scale. You will work closely with product managers, designers, data scientists, and cross-functional engineering teams to develop user-facing applications and platforms that integrate AI capabilities into Agoda's products at global scale.
• Lead a team of engineers building scalable, reliable, and user-friendly web applications and product experiences.
• Drive the development of front-end and full-stack solutions across core product areas, including selected AI-enabled features and workflows.
• Collaborate with product, design, data, and engineering teams to deliver intuitive and impactful customer or internal user experiences.
• Shape architecture across areas such as state management, SSR, micro-frontends, and API integration.
• Ensure new features, including AI-assisted capabilities where relevant, are performant, maintainable, observable, and production-ready.
• Guide the team in designing interfaces and workflows that surface recommendations, automation, or intelligent product enhancements in a usable and reliable way.
• Improve application quality through engineering best practices including code reviews, testing, experimentation, and continuous delivery.
• Support integration with backend services through REST, GraphQL, WebSockets, and other service interfaces.
• Drive technical decisions around performance, reliability, monitoring, and maintainability in production.
• Mentor engineers and grow team capability in both modern web engineering and evolving product development practices.
• Bring strong experience leading teams building large-scale web applications with React, Angular, or Vue.
• Demonstrate solid hands-on expertise in JavaScript / TypeScript and front-end development.
• Apply strong knowledge of web performance optimization, scalability, and frontend best practices.
• Show experience integrating frontend applications with backend services through REST, GraphQL, or WebSockets.
• Drive strong technical and people leadership, with proven mentoring and coaching ability.
• Collaborate effectively with product, design, and engineering stakeholders.
• Contribute to architectural decisions across SSR, micro-frontends, and state management.
• Operate with a strong understanding of CI/CD, automated testing, and deployment for web applications.
• Communicate clearly and thrive in a fast-paced, collaborative environment.
• Bring exposure to full-stack development and backend technologies such as C#, Kotlin, or Scala.
• Demonstrate familiarity with Agile development methodologies.
• Show experience with mobile web, cross-platform frameworks, or cloud platforms.
• Apply experience with analytics, A/B testing, and SEO for large-scale web products.
• Demonstrate experience building customer-facing products in high-traffic or global-scale environments.
• bangkok.
• LI-Hybrid.
• Please review our Hiring Process Guidelines before your interview click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our.
• privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Skills:

Problem Solving, Product Testing, Product Design, Procurement, Negotiation, Electronics

Job type:

Full-time

• Remote Position: No.
• Region: Asia.
• Country: Thailand.
• State/Province: Chonburi.
• City: Laem Chabang.
• Summary.
• The Manager, ICT Test Manufacturing Engineering is responsible for effectively managing the resources who accept, transfer, install, improve and maintain ICT and Flying Probe test equipment and test programs that are used for product testing and design verification. They also may support the test development of the test equipment and processes to ensure robust and high quality test solutions and final products are realized.
• Detailed Description.
• Support development of production test strategies based on product design specification.
• Develop test plans and requirements for customer products including both hardware and software elements.
• Lead the procurement, qualification, and installation support for manufacturing for a large customer.
• Be accountable for the test process optimization with a focus on productivity improvements to cycle time and yield within a CFT or across a large equipment set serving multiple customers.
• Leading SMED project for ICT.
• Provide project leadership, including management of (and communication with) team members, suppliers for comprehensive test deployments including structural, functional, system, stress and final test applications for a large customer.
• Support sales process by providing support to the quoting process.
• Work with Design to enhance solutions with feedback from product testability, test coverage, diagnosability, reparability, firmware/diagnostics and user experience.
• Keep up to date with relevant industry knowledge and regulations.
• Lead and drive complex problems related to product yield or test performance.
• Set yearly plans and goals for the department, give direction on expected performance, provide regular performance evaluations and ongoing feedback. Accountable for all department objectives and achieving agreed targets for key performance indicators.
• Knowledge/Skills/Competencies.
• Skills in Coaching/Mentoring, Communication/Negotiation/Presentation.
• Creative Problem Solving, Working Effectively with Other.
• Customer Interaction/Stakeholder Management.
• Quality & Lean, D/PFMEA, 8D/Corrective Action.
• Equipment Safety, Design of Experiments (DOE).
• Demonstrate "People & Team Leadership Behaviors".
• Ability to manage/lead complex, multiple line engineer project.
• Typical Experience.
• Experience in large-scale In-circuit MFG ICT test support.
• Experience in ESD Controls, Component Module Programming, ICT Equipment Maintenance, ICT Engineering Technical Support, 3070 and Teradyne ICT Test Development Applications.
• Typical Education.
• Bachelor's Degree or higher in Electronics or equivalent.
• Notes.
• This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.

Skills:

Teamwork

Job type:

Full-time

Why Coda Coda is a global growth engine for commerce, connecting people, digital products, and payments through trusted monetization and distribution solutions. With 600+ people from 57 nationalities across 23 locations, we're a truly global team headquartered in Singapore, with offices in Amsterdam, Dubai, Bristol, Shanghai, Eindhoven, and across Southeast Asia. We power global commerce through a dual model. Our B2B solutions, Codapay, Coda Webstore, Coda Links, Coda Distribution, and Giftcloud, enable publishers and brands to monetize and distribute digital content globally. On t ...

Experience:

2 years required

Skills:

Project Management, Data Warehousing, Architecture, Postgre SQL, Accounting

Job type:

Full-time

Enterprise Data Restructuring and Standardization Assess and map all existing data sources across departments, including: Sales and distribution, E-commerce and marketplaces, Marketing and media CRM and loyalty programs, Finance and accounting Identify data silos, inconsistencies, redundancies, and gaps. Design and implement company-wide data architecture and taxonomy. Establish data standards, naming conventions, and data dictionaries. Create governance policies to ensure long-term consistency. 2. Data Categorization and Classification Define standardized categories and hierarchie ...

Experience:

3 years required

Skills:

Mechanical Engineering, Microsoft Office, Negotiation, SOLIDWORKS, Leadership Skill

Job type:

Full-time

Job Summary: This position is accountable in respect of "Engineering and Technical services" in the areas of Thermal & Renewable power projects. a.) Operating assets: Technical Implementing, monitoring, analysis, ensuring the business performance within internal BP & BPP cross functional collaboration. b.) M&A: Provide the service of Engineering & Technical due diligence/evaluation. c.) Construction project: Negotiate, Manage EPC contract and all related Construction Management works. Responsibilities: Review and provide engineering advisory in the project engineering, construction ...

Skills:

Industrial Engineering, Mechanical Engineering, Leadership Skill, Teamwork, Assembly

Job type:

Full-time

• The role involves the supervision and management of all Operational Engineering activities from SMT to Final Assembly pertaining to ODM factories.
• Responsible for new factory or factory transition onboarding and setup.
• Review Manufacturing Processes Development & Implementation in support of Operational Excellence.
• Manages and expands relationships with internal and outsourced development partners on engineering design and development.
• Reviews and evaluates designs and project activities for compliance with technology and development guidelines and standards; provides tangible feedback to improve product quality.
• Provides domain-specific expertise and overall engineering leadership and perspective to cross-organization projects, programs, and activities.
• Drives innovation and integration of new technologies into projects and activities in the engineering design organisation.
• Provides guidance and mentoring to less-experienced staff members.
• Minimum Bachelor's degree in Mechanical Engineering.
• Candidates with a Master's degree level is preferred.
• Candidates are required to have a minimum of 10 years of experience in SMT process, Mechanical Assembly process, Test, and Industrial Engineering.
• Candidates shall have good knowledge of PC Product Engineering.
• Candidates possess a proficient level of expertise in Design for Excellence (DFx) techniques.
• Familiar with PC or 3C production process and able to do first-level issue triage on factory quality issues.
• Self-motivated and proactive with demonstrated creative and critical thinking capabilities.
• Understands and deals well with rapid development cycles; remains flexible and calm in the face of uncertainty.
• Teamwork: able to fit in well with a team and understand capabilities and priorities while fostering a collaborative environment Using empirical analysis, modelling and testing methodologies to validate product designs and specifications.
• Excellent written and Fluent English and local language.
• Ability to effectively communicate manufacturing plans, proposals, and results, and negotiate options at management levels.
• Excellent analytical and problem-solving skills using 6-sigma techniques.
• Li-Post.
• Job -.
• Engineering.
• Schedule -.
• Full time.
• Shift -.
• No shift premium (Thailand).
• Travel -.
• 25%.
• Relocation -.
• YesEqual Opportunity Employer (EEO) -.
• HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
• Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
• For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal".

Experience:

5 years required

Skills:

AutoCAD, English

Job type:

Full-time

• Bachelor's degree or higher in Engineering related field
• Experience in Production Engineer / Process Engineer or related experience
• Expertise in valve technology or manufacturing industrial
• Proficient in using SolidWorks and AutoCAD programs
• Expert in preparing and improving PFMEA and Control Plan
• Machining/Turning
• Casting
• Spraying
• Painting
• Vulcanization
• Assembly
• Possess a good attitude, enthusiasm, responsibility, dedication, and a willingness to learn; able to work well under pressure
• Knowledge of safety regulations, environmental compliance, and quality systems (ISO standards)
• Excellent leadership and team management capabilities
• Strong problem-solving and analytical thinking skills
• Effective communication and interpersonal skills
• Ability to work collaboratively across multiple departments
• Expertise in project management and budget management
• Fluency in English (business - conversation)
• Chinese language is preferred (special consideration).
• Benefit.
• Social Security
• KPI performance bonus
• Meal allowance
• Accommodation allowance
• Transportation allowance
• allowance ต่างๆขึ้นอยู่กับประสบการณ์และความสามารถ**.
• Working Hour.
• 08:00 - 17:00.
• Holiday.
• Sat-Sun
• (Public Holidays).

Job type:

Full-time

• บริหารงานด้าน Service ภายในอาคาร เพื่อสร้างประสบการณ์ที่ดีให้ผู้ใช้งาน และสอดคล้องกับมาตรฐานของแบรนด์.
• วางแผนและควบคุม การบำรุงรักษาเชิงป้องกัน (Preventive Maintenance) ให้ระบบต่าง ๆ ในอาคารพร้อมใช้งานอย่างต่อเนื่อง.
• บริหารจัดการ Operation อาคาร ให้มีประสิทธิภาพ ความปลอดภัย และความพร้อมใช้งานสูงสุด.
• ประสานงานและควบคุมโครงการ ปรับปรุงพื้นที่ภายในอาคาร ทั้งด้านโครงสร้าง ระบบประกอบอาคาร และตกแต่งภายใน.
• ติดตามและผลักดัน การปรับปรุงระบบอาคารให้ทันสมัย ตามเทคโนโลยีและแนวโน้มของตลาด.
• วางแผนและพัฒนาศักยภาพของทีมงาน เพื่อเสริมสร้างความเชี่ยวชาญและประสิทธิภาพในระยะยาว.
• วุฒิการศึกษาระดับปริญญาตรีขึ้นไป ในสาขา วิศวกรรมโยธา, เครื่องกล, ไฟฟ้า, บริหารจัดการอาคาร หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์ด้าน บริหารจัดการอาคารสำนักงาน, งานระบบวิศวกรรมอาคาร, หรือ Facility Management อย่างน้อย 8 - 10 ปี.
• มีประสบการณ์ในด้าน การบริหารทีมงาน, การควบคุมโครงการ และงบประมาณ.
• เข้าใจระบบประกอบอาคาร เช่น ระบบไฟฟ้า, ระบบปรับอากาศ, สุขาภิบาล, ระบบอัตโนมัติอาคาร (BAS).
• มีประสบการณ์ในการ วางแผนบำรุงรักษาเชิงป้องกัน (Preventive Maintenance) และการปรับปรุงอาคารให้ทันสมัยตามเทคโนโลยี.
• มีทักษะในการประสานงานกับผู้รับเหมา วิศวกรผู้ออกแบบ และหน่วยงานภายในองค์กร.
• มีวิสัยทัศน์ในการพัฒนาอาคารให้สอดคล้องกับความต้องการของผู้ใช้งานและแนวโน้มของตลาด.

Experience:

8 years required

Skills:

Electrical Engineering, Mechanical Engineering, Project Management, Product Design, Recruitment

Job type:

Full-time

Req ID: 138820 Remote Position: No Region: Asia Country: Thailand State/Province: Chonburi City: Laem Chabang Summary As the Senior Manager of Front-End Manufacturing Engineering, you will lead the strategic alignment between early-stage product design and mass-production manufacturability for next-generation products and technologies. This role bridges the gap between top-tier chip design partners, internal Hardware engineering teams, and Manufacturing sites. You will be responsible for leading and scaling a team of high-performing engineers, driving SMT and Assembly Process Devel ...

Experience:

5 years required

Skills:

Electrical Engineering, Project Management, Problem Solving, Architecture, Recruitment

Job type:

Full-time

Req ID: 138825 Remote Position: No Region: Asia Country: Thailand State/Province: Chonburi City: Laem Chabang Detailed Description 1. People Management & Team Leadership Talent Development & Mentorship: Directly manage, coach, and mentor a specialized team of Test Hardware and Software Engineers, fostering technical proficiency in advanced diagnostic test development and automated frameworks. Performance Management: Define clear test engineering metrics, KPIs, and deliverables; conduct objective performance evaluations and outline robust engineering career paths. Resource Optimizat ...

Skills:

Electrical Engineering, Recruitment, Teamwork, Cloud Computing, SAP

Job type:

Full-time

Req ID: 140313 Remote Position: No Region: Asia Country: Thailand State/Province: Chonburi City: Laem Chabang General Overview Functional Area: ENG - Engineering Career Stream: OPE - Operations Engineering Role: Manager 1 SAP Short Name: MG1 Job Title: Operations Engineering Manager 1 Job Code: MG1-ENG-OPS Job Level: Band 09 Profile-Holding: Y Direct/Indirect Indicator: Indirect Summary Owns new SMT and advanced SMT process development at the site: fine pitch, high density interconnect, mixed VIPPO, advanced spacing and the rework capability that goes with them. Develops, qualifies ...

Experience:

6 years required

Skills:

Cloud Computing, Architecture, Postgre SQL, Automation, Leadership Skill

Job type:

Full-time

• AI & Advanced Analytics Enablement.
• Lead the design, development, and deployment of enterprise AI, Machine Learning, and Generative AI solutions to support business transformation (e.g., pricing, promotion, automation, recommendation, demand forecasting, customer insights, and intelligent decision support).
• Build and manage scalable data pipelines supporting AI/ML model training, inference, feature engineering, Feature Store, RAG knowledge bases, and LLM applications.
• Develop reusable datasets, AI-ready data products, feature engineering pipelines, and semantic data models for AI Engineers, Data Scientists, and Business Analytics teams.
• Partner closely with AI Engineers to design, deploy, productionize, and scale AI/ML models, LLM applications, Agentic AI, AI Chatbots, Recommendation Systems, and Mobile AI applications.
• Design and maintain data ingestion pipelines for structured, semi-structured, and unstructured data from enterprise systems, APIs, databases, files, event streams, IoT devices, and third-party platforms.
• Develop scalable data pipelines supporting document ingestion, embedding generation, metadata management, vector indexing, and retrieval workflows for RAG applications.
• Identify opportunities to embed AI into business workflows and operational decision-making to improve efficiency, customer experience, and business value.
• Data Platform & Engineering Leadership.
• Own end-to-end enterprise data architecture from source systems to Data Lake, Lakehouse, Data Warehouse, Feature Store, Semantic Layer, and AI-serving layers.
• Design, develop, and optimize scalable ETL/ELT pipelines supporting batch, micro-batch, streaming, and near real-time data processing.
• Design and maintain workflow orchestration for enterprise data pipelines using Databricks Workflows, Apache Airflow, or equivalent orchestration frameworks.
• Develop enterprise-scale Big Data solutions using Apache Spark and distributed computing frameworks.
• Design scalable logical and physical data models while optimizing database architecture for performance, scalability, reliability, and cost efficiency.
• Ensure enterprise data quality, governance, lineage, metadata management, observability, security, and compliance across data platforms.
• Implement automated data validation, monitoring, logging, alerting, and observability to ensure production-grade data reliability.
• Optimize SQL queries, Spark workloads, partitioning strategies, storage formats, and compute resources for maximum performance and cost efficiency.
• Analyze complex technical issues, identify root causes, troubleshoot production problems, and recommend infrastructure and platform improvements.
• Select, evaluate, and integrate modern data engineering tools, cloud technologies, and AI platform frameworks to support evolving business needs.
• Continuously evaluate emerging technologies in Big Data, Lakehouse Architecture, Data Platform Engineering, Cloud Computing, and AI Platform Engineering.
• AI Platform & Infrastructure.
• Build and maintain enterprise AI data infrastructure supporting LLM, RAG, Agentic AI, AI Chatbots, Recommendation Engines, Intelligent Search, and Intelligent Automation platforms.
• Design and implement scalable AI data pipelines supporting batch, streaming, vector search, embedding pipelines, and Retrieval-Augmented Generation (RAG) architectures.
• Design scalable APIs, data services, and integration layers connecting AI applications with enterprise systems and digital platforms.
• Collaborate with AI Engineers to prepare high-quality datasets for LLM fine-tuning, prompt engineering, model evaluation, inference, and continuous model improvement.
• Support deployment and operationalization of AI products using DataOps, MLOps, CI/CD, containerization, and modern software engineering practices.
• Drive continuous improvements in platform scalability, availability, security, observability, resilience, and operational efficiency.
• Team Leadership & Capability Building.
• Lead, mentor, and develop a high-performing team of Data Engineers, AI Engineers, and Analytics professionals.
• Foster engineering excellence through best practices in architecture design, coding standards, testing, code reviews, deployment, technical documentation, and software engineering.
• Drive architecture reviews, technical design reviews, engineering governance, and platform standardization across the engineering organization.
• Define engineering standards, technical roadmaps, platform architecture, and technology strategy aligned with business objectives.
• Collaborate closely with Product Owners, Business Stakeholders, AI Engineers, Data Scientists, Solution Architects, Infrastructure, and DevOps teams.
• Provide hands-on technical leadership with a strong engineering mindset and willingness to troubleshoot complex production systems.
• Promote continuous learning, knowledge sharing, innovation, and adoption of emerging technologies across the engineering team.
• Bachelor's degree or higher in Computer Science, Computer Engineering, Information Technology, Artificial Intelligence, Data Engineering, Management Information Systems, or a related field.
• 6+ years of experience in Data Platform Engineering, Data Engineering, Big Data, or AI Platform development, with experience leading engineering teams.
• Strong experience designing and implementing enterprise-scale Data Lake, Lakehouse, Data Warehouse, or Modern Data Platform architectures.
• Expert proficiency in SQL, Databricks SQL, PostgreSQL, database design, and query performance optimization.
• Strong programming skills in Python.
• Hands-on experience with Apache Spark, Databricks, Delta Lake, Spark SQL, Unity Catalog, and distributed data processing.
• Strong experience designing and developing scalable ETL/ELT pipelines and workflow orchestration.
• Experience with streaming technologies such as Spark Structured Streaming, Kafka, or equivalent.
• Experience building enterprise-scale data platforms supporting AI/ML, Advanced Analytics, and Generative AI applications.

Experience:

5 years required

Skills:

Architecture, Leadership Skill, Python

Job type:

Full-time

• Location of CP AXTRA (Head Office) 3-4 Days: https://share.google/V5Q7MuC44FS341Xhx.
• Location of CP AXTRA Lotus's (Nawamin Office) 1 day: https://maps.app.goo.gl/6cHYiNFfwE8EqrFU6.
• Working style.
• 4-5 Days at the office + work from anywhere.
• Accompany senior management on store visits on Saturdays (half-day or full-day, not every week.
• AI & Advanced Analytics Enablement.
• Lead the design, development, and deployment of enterprise AI, Machine Learning, and Generative AI solutions to support business transformation (e.g., pricing, promotion, automation, recommendation, demand forecasting, customer insights, and intelligent decision support).
• Build and manage scalable data pipelines supporting AI/ML model training, inference, feature engineering, Feature Store, RAG knowledge bases, and LLM applications.
• Develop reusable datasets, AI-ready data products, feature engineering pipelines, and semantic data models for AI Engineers, Data Scientists, and Business Analytics teams.
• Partner closely with AI Engineers to design, deploy, productionize, and scale AI/ML models, LLM applications, Agentic AI, AI Chatbots, Recommendation Systems, and Mobile AI applications.
• Design and maintain data ingestion pipelines for structured, semi-structured, and unstructured data from enterprise systems, APIs, databases, files, event streams, IoT devices, and third-party platforms.
• Develop scalable data pipelines supporting document ingestion, embedding generation, metadata management, vector indexing, and retrieval workflows for RAG applications.
• Identify opportunities to embed AI into business workflows and operational decision-making to improve efficiency, customer experience, and business value.
• Data Platform & Engineering Leadership.
• Own end-to-end enterprise data architecture from source systems to Data Lake, Lakehouse, Data Warehouse, Feature Store, Semantic Layer, and AI-serving layers.
• Design, develop, and optimize scalable ETL/ELT pipelines supporting batch, micro-batch, streaming, and near real-time data processing.
• Design and maintain workflow orchestration for enterprise data pipelines using Databricks Workflows, Apache Airflow, or equivalent orchestration frameworks.
• Develop enterprise-scale Big Data solutions using Apache Spark and distributed computing frameworks.
• Design scalable logical and physical data models while optimizing database architecture for performance, scalability, reliability, and cost efficiency.
• Ensure enterprise data quality, governance, lineage, metadata management, observability, security, and compliance across data platforms.
• Implement automated data validation, monitoring, logging, alerting, and observability to ensure production-grade data reliability.
• Optimize SQL queries, Spark workloads, partitioning strategies, storage formats, and compute resources for maximum performance and cost efficiency.
• Analyze complex technical issues, identify root causes, troubleshoot production problems, and recommend infrastructure and platform improvements.
• Select, evaluate, and integrate modern data engineering tools, cloud technologies, and AI platform frameworks to support evolving business needs.
• Continuously evaluate emerging technologies in Big Data, Lakehouse Architecture, Data Platform Engineering, Cloud Computing, and AI Platform Engineering.
• AI Platform & Infrastructure.
• Build and maintain enterprise AI data infrastructure supporting LLM, RAG, Agentic AI, AI Chatbots, Recommendation Engines, Intelligent Search, and Intelligent Automation platforms.
• Design and implement scalable AI data pipelines supporting batch, streaming, vector search, embedding pipelines, and Retrieval-Augmented Generation (RAG) architectures.
• Design scalable APIs, data services, and integration layers connecting AI applications with enterprise systems and digital platforms.
• Collaborate with AI Engineers to prepare high-quality datasets for LLM fine-tuning, prompt engineering, model evaluation, inference, and continuous model improvement.
• Support deployment and operationalization of AI products using DataOps, MLOps, CI/CD, containerization, and modern software engineering practices.
• Drive continuous improvements in platform scalability, availability, security, observability, resilience, and operational efficiency.
• Team Leadership & Capability Building.
• Lead, mentor, and develop a high-performing team of Data Engineers, AI Engineers, and Analytics professionals.
• Foster engineering excellence through best practices in architecture design, coding standards, testing, code reviews, deployment, technical documentation, and software engineering.
• Drive architecture reviews, technical design reviews, engineering governance, and platform standardization across the engineering organization.
• Define engineering standards, technical roadmaps, platform architecture, and technology strategy aligned with business objectives.
• Collaborate closely with Product Owners, Business Stakeholders, AI Engineers, Data Scientists, Solution Architects, Infrastructure, and DevOps teams.
• Provide hands-on technical leadership with a strong engineering mindset and willingness to troubleshoot complex production systems.
• Promote continuous learning, knowledge sharing, innovation, and adoption of emerging technologies across the engineering team.
• Bachelor's degree or higher in Computer Science, Computer Engineering, Information Technology, Artificial Intelligence, Data Engineering, Management Information Systems, or a related field.
• 6+ years.
• of experience in.
• Data Platform Engineering, Data Engineering, Big Data, or AI Platform development,.
• with experience leading engineering teams.
• Strong experience designing and implementing enterprise-scale Data Lake, Lakehouse, Data Warehouse, or Modern Data Platform architectures.
• Expert proficiency in SQL, Databricks SQL, PostgreSQL, database design, and query performance optimization.
• Strong programming skills in Python.
• Hands-on experience with Apache Spark, Databricks, Delta Lake, Spark SQL, Unity Catalog, and distributed data processing.
• Strong experience designing and developing scalable ETL/ELT pipelines and workflow orchestration.
• Experience with streaming technologies such as Spark Structured Streaming, Kafka, or equivalent.
• Experience building enterprise-scale data platforms supporting AI/ML, Advanced Analytics, and Generative AI applications.
• Experience with LLM, RAG, AI Chatbots, Agentic AI, Vector Databases, Embedding Pipelines, Feature Store, or Recommendation Systems is highly preferred.
• Experience integrating enterprise applications through REST APIs, event-driven architectures, and microservices.
• Strong understanding of Data Governance, Data Quality, Data Lineage, Metadata Management, Data Security, and Data Observability.
• Experience with Azure, AWS, or Google Cloud Platform is preferred.
• Experience with Git, Docker, Kubernetes, CI/CD, DataOps, MLOps, MLflow, or Infrastructure as Code is an advantage.
• Retail, Wholesale, or E-Commerce industry experience is highly preferred.
• Proven track record in delivering enterprise AI platforms, data platforms, or large-scale analytics solutions.
• Strong analytical thinking, problem-solving, communication, stakeholder management, and leadership skills.
• Passion for building scalable engineering platforms, mentoring teams, and delivering business impact through data and AI.
• CP AXTRA | Lotus's.
• CP AXTRA Public Company Limited.
• Nawamin Office: Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy.".

Skills:

Recruitment, Data Entry, Teamwork, Cloud Computing

Job type:

Full-time

Req ID: 140327 Remote Position: No Region: Asia Country: Thailand State/Province: Chonburi City: Laem Chabang General Overview Job Title: Manager, Test Manufacturing Engineering Functional Area: Engineering (ENG) Career Stream: Test Engineering Manufacturing (TEM) Summary An HPS engineer resident at the site, responsible for test readiness on the ground: verifying that stations, fixtures and programs are genuinely ready, evaluating and optimising testers, and troubleshooting through NPI builds at tray level across ICT and functional test. Distinct from the site's production test en ...

Skills:

Product Development, Industrial Design, Recruitment, 3D Modeling, Data Entry

Job type:

Full-time

Req ID: 139802 Remote Position: Hybrid Region: Asia Country: Thailand State/Province: Chonburi City: Laem Chabang General Overview Job Title: Manager, Mechanical Design Engineering 2 Functional Area: Engineering (ENG) Career Stream: Design Engineering Mechanical (DEM) Role: Manager (MG2) Job Code: MG2-ENG-DEM Job Band: 10 Direct/Indirect Indicator: Indirect Summary The Manager, Mechanical Design Engineering responsible for leading and managing the employees who develop new mechanical systems/modules and maintain existing designs. Research mechanical concepts and create system solut ...

Experience:

8 years required

Skills:

Electrical Engineering, Mechanical Engineering, Project Management, Product Design, Architecture

Job type:

Full-time

Req ID: 138822 Remote Position: No Region: Asia Country: Thailand State/Province: Chonburi City: Laem Chabang Summary As the Senior Manager of Back-End Manufacturing Engineering, you will lead the strategic alignment between early-stage product design and mass-production manufacturability for next-generation products and technologies. This role bridges the gap between top-tier design partners, internal Hardware engineering teams, and Manufacturing sites. You will be responsible for leading and scaling a team of high-performing engineers, driving Box Build Assembly, Rack-Level Integ ...

Skills:

Project Management, Industry trends, Negotiation, Recruitment, Power point

Job type:

Full-time

Req ID: 137138 Remote Position: No Region: Asia Country: Thailand State/Province: Chonburi City: Laem Chabang Summary Provides direct and indirect supervision to subordinate team leaders and professional employees performing diverse roles. This includes establishing three to five year plans/objectives, and developing policies for the function/unit. Accountable for dept results and for activities or projects involving multi-functional teams. Work requires application of in-depth knowledge of professional standards and precedents in area of specialty. Receives assignments in the form ...

Experience:

5 years required

Skills:

Mechanical Engineering, Statistical Analysis, Product Development, Data Analysis, Enthusiastic, Electronics, Python, English

Job type:

Full-time

• We're committed to bringing passion and customer focus to the business.*.
• If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!*.
• The Reliability Engineering Manager will establish and lead the manufacturing reliability function supporting the company's strategic optical communication and photonic product portfolio.
• This position is responsible for developing reliability strategies for both new product introductions (NPI) and manufacturing products, executing ongoing reliability testing (ORT), investigating failures, driving root cause analysis, and identifying opportunities to improve product and process robustness.
• The successful candidate will focus not only on reliability testing, but also on understanding failure mechanisms, analyzing data, identifying trends, designing experiments, and driving corrective actions across manufacturing, product engineering, quality, and reliability organizations.
• The role will initially build and lead a small reliability team while establishing the processes, and engineering discipline required to support both manufacturing and future business growth.
• Build and lead the Nava manufacturing reliability team capability.
• Develop reliability strategies supporting both new product introductions and manufacturing products.
• Own ongoing reliability testing (ORT) programs and support product qualification activities.
• Develop reliability test plans, schedules, reporting systems, and escalation processes.
• Analyze reliability data to identify trends, failure mechanisms, and emerging product or process risks.
• Lead root cause investigations using statistical analysis, Design of Experiments (DOE), and structured problem-solving methodologies.
• Partner with Product Engineering, Manufacturing Engineering, Quality, R&D, and Central Reliability teams to drive corrective and preventive actions.
• Identify reliability risks early in product development and drive mitigation activities before product release.
• Develop reliability strategies, qualification methodologies, and reliability requirements for new and existing product platforms.
• Recruit, develop, and mentor reliability engineers and technicians as the organization grows.
• Bachelor's or master's degree in engineering, Physics, Materials Science, Mechanical Engineering, Electronics, or a related technical discipline.
• Excellent written and spoken English communication skills.
• 8+ years of engineering experience with at least 3 years leading reliability, qualification, quality, manufacturing, or related engineering teams.
• Strong understanding of reliability methodologies accelerated testing, failure analysis, statistical analysis, and reliability data interpretation.
• Demonstrated experience conducting DOE studies and translating findings into product or manufacturing improvements.
• Experience in electronics, semiconductor, optical, storage, automotive, industrial, or other high-volume manufacturing environments.
• Strong knowledge of materials, mechanical reliability, manufacturing processes, and failure mechanisms.
• Demonstrated ability to build engineering capability, influence cross-functional teams, and mentor technical staff.
• Preferred Experience.
• Ownership of manufacturing reliability, product reliability, ORT, qualification, or reliability growth programs.
• Experience supporting products through development, qualification, manufacturing ramp, and volume production.
• Experience with optical communication products, semiconductor packaging, optoelectronics, photonics, datacenter hardware, storage devices, or other high-reliability electronic products.
• Experience with reliability data analysis using JMP, Minitab, Python, R, Weibull++, or equivalent tools.
• Experience working across multiple international engineering and manufacturing sites.
• Experience developing reliability laboratories, test infrastructure, measurement systems, or reliability processes.
• We are an equal opportunity employer and value diversity at our company. *.
• We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. *.
• We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. *.
• Please contact us to request accommodation.*.

Skills:

Financial Reporting, Project Management, Problem Solving, Negotiation, Accounting

Job type:

Full-time

• Remote Position: No.
• Region: Asia.
• Country: Thailand.
• State/Province: Chonburi.
• City: Laem Chabang.
• Summary.
• The Operations Engineering Manager is responsible for leading and managing the work of designing, developing, deploying and optimizing processes for manufacturing to achieve quality cost and delivery goals for Celestica and its customers products.
• Detailed Description.
• Responsible for understanding the customers technical roadmap and identifying and managing all new customer-specific process development projects.
• Manage technical aspects for all new customer-specific process development projects.
• Develop the scope of all technical work, coordinate the team, direct work assignments and assist with problem resolution for the full customer product life cycle support for all manufacturing technical issues related to the customers product(s) from product conception to product obsolescence.
• Evaluate potential manufacturing impact for each design concept.
• Responsible for the best practice standard development, participate in Industry organizations for developing the standards and provide training and application support globally.
• Set yearly plans and goals for their department and give direction on expected performance and provide regular performance evaluations and ongoing feedback. Accountable for all department objectives and achieving agreed targets for key performance indicators.
• Knowledge/Skills/Competencies.
• Project Management - Ability to manage/lead complex, multiple line engineering projects that may also involve other functions. Demonstrate solid understanding of the technical, financial and people aspects of the project. Able to create a project/change management plan and ensure that the project is delivered within the assigned time and budget. Ability to recognize project barriers and develop mitigation plans.
• Leadership - Demonstrate "People & Team Leadership Behaviors" as per Celestica Leadership Imperatives.
• Financial Acumen / Business Planning - Ability to create financial plans for your projects, align them internally with your line of management and other functions and externally if needed. Create project plans, profitability calculations, risk and sensitivity analysis, able to recognize barriers and mitigate profitability risks. Fully knowledgeable about internal and external financial reporting, accounting and tax requirements relevant to your area of expertise.
• The following competencies may also be required: Coaching/Mentoring; Communication/Negotiation/Presentation; Creative Problem Solving; Customer Interaction/Stakeholder Management; Quality & Lean; Working Effectively with Others; D/PFMEA; 8D/Corrective Action; Equipment Safety; Design of Experiments (DOE).
• Typical Experience.
• Min, 10 years of related experience;Experience in similar job roles.
• Understanding of SMT process.
• Typical Education.
• Bachelor degree or consideration of an equivalent combination of education and experience.
• Educational Requirements may vary by Geography.
• Notes.
• This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.