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Skills:

Power point, Leadership Skill, HACCP, English

Job type:

Full-time

• A dynamic leader, highly organized and capable of providing leadership, guidance and direction in achieving the hotel's vision and mission.
• Hands-on Engineering leader with proven experience managing a complex (combo) hotel property, coordinating outsourced contractors, and driving seamless engineering and maintenance operationsใ while ensuring compliance, safety, and exceptional guest experiences.
• Pre-opening hotel experience is preferred in order to plan the opening of Mercure Ba ...
• Responsible for implementing Accor engineering and ensure compliance with health, safety, security, and environmental standards, including WHS, HACCP, fire and life safety regulations, emergency response.
• Lead all engineering and maintenance operations, ensuring the effective upkeep of hotel facilities, guest rooms, equipment, and assets through preventive maintenance programs and regulatory compliance.
• Procedures, Accor ALERT requirements, and sustainability initiatives.
• Collaborate with hotel departments to deliver exceptional guest experiences, promptly resolving maintenance issues, minimizing operational disruptions, and supporting the hotel's business and financial objectives.
• Bachelor's degree in Engineering or equivalent.
• Excellent reading, writing and oral proficiency in English language.
• Good working knowledge of MS Excel, Word, & PowerPoint.

Experience:

12 years required

Skills:

Software Development, Risk Management, Architecture, Kubernetes, Budgeting

Job type:

Full-time

• Lead, mentor, and develop Engineering Managers and multiple software engineering teams while fostering a high-performance engineering culture.
• Define and execute the engineering strategy, technology roadmap, and architecture aligned with the company's business objectives.
• Oversee the design, development, and operation of mission-critical trading systems, including Order Management System (OMS), Matching Engine, Market Data Services, Trading APIs, Wallet Services, Asset Deposit & Withdrawal, and Risk Management systems.
• Ensure platform scalability, high availability, security, and performance to support increasing trading volumes and business growth.
• Partner closely with Product, Compliance, Security, Infrastructure, and Business teams to deliver innovative digital asset products and trading capabilities.
• Lead the engineering delivery of new blockchain integrations, token listings, wallet infrastructure, custody solutions, and other digital asset initiatives.
• Drive engineering best practices across software development, system architecture, DevSecOps, CI/CD, observability, cloud infrastructure, and operational excellence.
• Establish engineering standards, governance, and technical direction for distributed systems, microservices, event-driven architecture, and cloud-native technologies.
• Monitor engineering performance through key metrics such as system reliability, deployment frequency, incident response, software quality, and engineering productivity.
• Lead incident management, root cause analysis, and continuous improvement initiatives to ensure platform stability and resilience.
• Manage engineering resource planning, budgeting, hiring, organizational design, performance management, and succession planning.
• Stay current with emerging technologies, blockchain innovations, digital asset trends, and trading system advancements to drive continuous innovation.
• Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, or a related field.
• 12+ years of software engineering experience with at least 5 years leading engineering managers and large engineering organizations.
• Proven experience building and operating large-scale, high-throughput, mission-critical distributed systems.
• Strong knowledge of trading systems, exchange platforms, order lifecycle, matching engines, market data, real-time messaging, and API platforms.
• Solid understanding of blockchain technology, cryptocurrencies, digital assets, wallet infrastructure, custody, and exchange operations.
• Experience with cloud platforms (AWS, GCP, or Azure), Kubernetes, containerization, CI/CD pipelines, and modern software architecture.
• Strong technical background in distributed systems, microservices, event-driven architecture, and high-availability platform design.
• Excellent leadership, communication, stakeholder management, and decision-making skills with the ability to influence cross-functional teams and executive stakeholders.
• Experience in fintech, capital markets, cryptocurrency exchanges, brokerage platforms, payment systems, or other financial technology environments is highly preferred.

Skills:

Product Development, Quality Assurance, Recruitment, Automation, Assurance

Job type:

Full-time

Req ID: 133276 Remote Position: No Region: Asia Country: Thailand State/Province: Chonburi City: Laem Chabang Summary The Director, Manufacturing Equipment Process Engineering is responsible for leading and managing the work of those responsible for designing, developing, deploying and optimizing processes and equipment for manufacturing to achieve quality cost and delivery goals for Celestica and its customers products. Detailed Description Performs tasks such as, but not limited to, the following: Set yearly plans and goals for multiple departments and/or senior individual contri ...

Experience:

15 years required

Skills:

Electrical Engineering, Industrial Engineering, Enthusiastic, Architecture, Electronics

Job type:

Full-time

• Lead, grow, and develop a distributed team of AI/ML engineers who work across manufacturing sites and solve site-specific operational problems.
• Establish the technical vision, engineering standards, delivery practices, and talent strategy for manufacturing AI across the organization.
• Create a strong partnership model with plant leadership, manufacturing engineering, process engineering, yield, quality, operations, IT, and enterprise data teams.
• Balance local site responsiveness with reusable platforms, common architectures, shared components, and responsible AI practices that scale across plants.
• Set and execute a multi-year roadmap for AI/ML applications in manufacturing, aligned to business priorities and measurable operational outcomes.
• Identify and prioritize high-impact opportunities across process optimization, yield improvement, visual inspection, defect classification, predictive maintenance, anomaly detection, root-cause analysis, quality, scheduling, and engineering productivity.
• Guide the architecture, design, development, validation, deployment, and lifecycle management of production-grade AI/ML systems used in manufacturing workflows.
• Define engineering patterns for data pipelines, feature and model management, experiment tracking, APIs, user interfaces, monitoring, cybersecurity, reliability, and model performance management.
• Ensure solutions work with real manufacturing data and systems, including MES, SPC, QMS, equipment and sensor data, inspection systems, yield systems, ERP, databases, engineering reports, and other structured and unstructured sources.
• Drive disciplined problem definition and value measurement, connecting technical delivery to improvements in cycle time, throughput, yield, scrap, quality, cost, safety, and decision speed.
• Partner with site teams to understand workflows, constraints, process variation, data quality, user needs, and adoption barriers; ensure solutions are usable by engineers, operators, and business stakeholders.
• Build and maintain strong relationships with senior manufacturing and technology leaders, communicating technical tradeoffs, risks, investment needs, and results with clarity.
• Promote effective use of classical machine learning, deep learning, computer vision, optimization, statistical methods, LLMs, and generative AI where they are fit for purpose.
• Establish governance for responsible, secure, explainable, and maintainable AI in manufacturing, including validation, human oversight, change control, and production support.
• 15+ years of progressive experience in software engineering, AI/ML engineering, data science, or a closely related technical discipline, including significant leadership experience.
• Bachelor's or master's degree in engineering, computer science, electrical engineering, industrial engineering, data science, or a related field; advanced technical education is preferred.
• Deep hands-on understanding of software engineering practices, distributed systems, cloud or edge architectures, APIs, data platforms, testing, observability, security, and production operations.
• Practical knowledge of manufacturing processes, process variation, yield, quality systems, equipment data, inspection, traceability, root-cause analysis, and the realities of plant operations.
• Willingness and ability to travel 30% or more to manufacturing sites and partner locations.
• Preferred Qualifications.
• Experience in semiconductor, photonics, electronics, optical components, precision manufacturing, or other high-volume advanced manufacturing environments.
• Experience with manufacturing software and data ecosystems such as MES, SPC, QMS, ERP, equipment automation, inspection platforms, historian systems, and yield management systems.
• Experience scaling AI/ML capabilities across multiple plants, regions, or business units with different processes, data maturity, and operating models.
• Experience applying generative AI, knowledge retrieval, agentic workflows, or LLM-enabled tools to manufacturing, engineering, quality, or operations use cases.
• 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.

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.

Experience:

5 years required

Skills:

Automation, Kubernetes, Python, Docker, Ruby, Thai

Job type:

Full-time

• LINE MAN Wongnai is Thailand's Leading On-Demand Delivery and Lifestyle e-Commerce platform services. We build technology to help Thai people live better, to empower all local businesses by creating an end-to-end food ecosystem through our channel LINE MAN and Wongnai. Connected consumers, riders, and local businesses and improved the daily life of all parties with restaurants nationwide. And because we are local, we provide the deepest variety and services that are tailor-made for Thai people.
• Our Head of Site Reliability Engineering (SRE) is a pivotal leadership role responsi ...
• Develop and execute the SRE strategy to support company goals.
• Lead and mentor the SRE team, fostering a culture of continuous improvement and innovation.
• Collaborate with other engineering and product teams to align on priorities and deliverables.
• Oversee the design, implementation, and maintenance of scalable, reliable infrastructure.
• Ensure the efficient operation of systems, focusing on automation, monitoring, and performance optimization.
• Implement best practices for incident response and management, including root cause analysis and post-mortems.
• Define and monitor key performance indicators (KPIs) and service-level objectives (SLOs).
• Proactively identify and mitigate potential reliability issues before they impact customers.
• Drive the adoption of robust monitoring and alerting solutions to ensure system health and performance.
• Ensure systems are secure and compliant with relevant regulations and standards.
• Collaborate with the security team to implement and maintain best-in-class security practices.
• Act as a liaison between engineering, product, and other key stakeholders.
• Communicate effectively with technical and non-technical audiences, including executive leadership.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Minimum of 10 years of experience in software engineering, infrastructure, or operations roles.
• At least 5 years in a leadership position within a high-growth technology company.
• Deep understanding of cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker).
• Proficiency in scripting and programming languages (Python, Go, Ruby, etc.).
• Experience with CI/CD pipelines, infrastructure as code (Terraform, Ansible), and monitoring tools (Prometheus, Grafana, Datadog).
• Strong leadership and people management skills.
• Excellent problem-solving and analytical abilities.
• Effective communication and collaboration skills.

Experience:

6 years required

Skills:

Data Entry, SAP

Job type:

Full-time

Manager, Manufacturing Process Engineering 1 Req ID: 139932 Remote Position: No Hiring Manager: Chatchawan Tiamgun Band: 09 Region: Asia Country: Thailand State/Province: Chonburi City: Laem Chabang General Overview Functional Area: Engineering Career Stream: Process Engineering Manufacturing SAP Short Name: MG1-ENG-PRM Job Level: Level 09 IC/MGR: Manager Direct/Indirect Indicator: Indirect Summary The Manager, Manufacturing Process Engineering is responsible for leading and managing the work of designing, developing, deploying and optimizing processes for manufacturing to achieve ...

Skills:

Negotiation, Budgeting

Job type:

Full-time

• Remote Position: No.
• Region: Asia.
• Country: Thailand.
• State/Province: Chonburi.
• City: Laem Chabang.
• Summary.
• Provides direct and indirect supervision to all subordinate managers and employees at a site performing highly specialized roles in several major functions or departments. This includes long-term planning, objective setting, policy formation, interpretation and management while providing latitude and discretion to subordinates.
• Accountable for projects or programs on a multi-national or global basis. Has overall P&L responsibility for site operations or operational accountability for global business units. Work requires investigating and resolving a wide variety of highly unusual conditions that carry long-term implications.
• Requires developing new strategies, policies, practices, methods, programs or techniques and utilizing them to analyze and interpret difficult problems or situations and/or establishing new strategic direction that is site or multi-site specific. Participates with other senior managers to establish strategic plans and objectives. Has overall responsibility for planning, budgeting, implementing and maintaining costs, methods and employees in a functional area.
• Makes final decisions on administrative and operational matters in area of responsibility to ensure achievement of objectives. Erroneous decisions will have a serious impact on the overall success of business unit operations.
• Directs and controls the activities of a broad functional area through several department managers. Assigns objectives, reviews performance and approves employee compensation, coaches for improved performance.
• Regularly interacts with executives and/or major customers. Interactions normally involve controversial situations, customer negotiations, or influencing and persuading other senior level managers. May represent the organization in public speaking venues and/or community events.
• Detailed Description.
• Directs all of the engineering process and test development activities of a site.
• Develops short- and long-term goals supporting target customers.
• Has input into annual and 3-5 year business plans.
• Builds processes based upon the organizations strengths and knowledge of the competitors.
• Directs overall engineering processes and test development supporting all activities from initial customer requirements through product obsolescence.
• Communicates regularly with direct reports and existing customers to provide information, escalate issues and create and enhance a positive working relationship.
• Delivers presentations and communicates capabilities to potential and existing customers.
• Works with potential customers to help define their needs and to present technical proposals to meet those needs.
• Ensures proposals meet requirements for manufacturing profitability, etc.
• Delivers presentations and communicates capabilities to potential and existing customers.
• Ensures proposals meet requirements for manufacturing profitability, etc.
• Interfaces with other facilities to ensure consistency in process and implementation as well as to develop complementary services and coordinate capabilities worldwide.
• Knowledge/Skills/Competencies.
• Engineering Foundation Competencies.
• In-depth knowledge and understanding of the business unit and how decisions impact customer satisfaction, product quality, on-time delivery and the profitability of the unit.
• In-depth knowledge and understanding of engineering design and development, process development and implementation, testing, quality and production in a highly dynamic manufacturing environment.
• Broad knowledge of an electronic manufacturing environment, materials and processes.
• Excellent analytical, negotiation and problem resolution skills.
• Ability to establish business unit goals and coordinate a wide variety of resources to meet quality and quantity metrics.
• Ability to effectively communicate with a wide variety of internal and external customers.
• Ability to effectively lead, manage, train and motivate a diverse group of employees to meet high levels of technical requirements within tight time deadlines.
• Typical Experience.
• 5- 10 years of Rlevant Experiences in Multinational Manufacturing & Engineering Business.
• Incumbent will perform the duties of this position in a normal office environment.
• Occasional overnight travel is required.
• Typical Education.
• Bachelor's degree in related field, or consideration of an equivalent combination of education and experience. Advanced studies in Business/Operations/Technology are recommended.
• 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:

Product Development, Cloud Computing, SOLIDWORKS, CAD, English

Job type:

Full-time

• Remote Position: No.
• Region: Asia.
• Country: Thailand.
• State/Province: Chonburi.
• City: Laem Chabang.
• Summary.
• As a Senior Subject Matter Expert (SME) in Thermal Engineering, you will take a technical authority role in leading thermal-related technical decisions, cross-team collaboration, and problem-solving throughout the entire product development and mass production management process. You will also be responsible for inheriting and innovating thermal engineering expertise to ensure that product thermal management designs meet top industry standards and support mass production.
• Detailed Description.
• Lead thermal engineering evaluations for new products, design decisions, and risk mitigation.
• Guide thermal management in DFx, PCB layout, and heat dissipation design (compliance with ASHRAE, NEBS).
• Collaborate with cross-functional teams (design, manufacturing, quality, reliability) to solve thermal issues.
• Drive root cause analysis with CFD simulations; manage failure analysis at manufacturing sites.
• Lead verification plans for certification programs; review reliability test results.
• Develop thermal testing standards; guide team in using thermal testing tools (thermocouples, IR cameras, wind tunnels).
• Support thermal certification of second-source components; review heat dissipation compatibility.
• Participate in factory readiness and production line thermal setup.
• Coordinate cross-project resources (equipment, manpower) to avoid conflicts.
• Conduct training, build knowledge base, and share best practices on thermal debugging.
• Research next-gen cooling technologies (liquid cooling, AI workload thermal management) and evaluate feasibility.
• Knowledge/Skills/Competencies.
• Proficiency in heat transfer principles (conduction, convection, radiation) and fluid dynamics.
• Skilled in using CFD tools such as ANSYS Icepak and FloTHERM, as well as CAD software such as SolidWorks.
• In-depth understanding of data center cooling technologies (air cooling/liquid cooling solutions), thermal impact of server PCBs, and heat dissipation challenges of AI/HPC hardware. Ability to interpret and revise industry standards.
• Strong leadership, strategic thinking, cross-team communication, and knowledge transfer skills.
• Excellent command in English communications.
• Typical Experience.
• 10+ years of experience in thermal engineering in data centers, HPC, or cloud computing fields.
• Experience in leading thermal management projects for server racks, CDUs, and edge computing devices; successful cases in solving extremely complex thermal issues (such as heat dissipation for high-density GPU clusters).
• Typical Education.
• A Bachelor's Degree in Electronic Engineering, Electromechanical Engineering, Mechanical Engineering, or related fields, or an equivalent combination of education and experience.
• Advanced studies in business/operations/technology are recommended.