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Skills:

Docker, DevOps

Job type:

Full-time

• กำหนดมาตรฐาน กำกับดูแล และบริหารจัดการ การบริการด้านเทคโนโลยีสารสนเทศ.
• ทำหน้าที่เป็นผู้จัดการเหตุการณ์ด้านเทคโนโลยีสารสนเทศ (Incident Manager) สำหรับเหตุการณ์หลัก.
• ทำหน้าที่เป็นผู้จัดการปัญหาด้านเทคโนโลยีสารสนเทศ (Problem Manager).
• ทำหน้าที่เป็นผู้จัดการดูแล Service Level Agreement ให้เป็นไปตามตามนโยบาย.
• กำหนด KPI ที่ชัดเจนสำหรับการวัดประสิทธิภาพและเป็นแนวทางในการดำเนินงานของทีม.
• ทำงานร่วมกับทีมอื่น ๆ ที่เกี่ยวข้อง เช่น ทีมสนับสนุนผู้ใช้, ทีมพัฒนา, ทีมโครงสร้างพื้นฐาน เป็นต้น.
• มอบหมายงาน ติดตามงาน ถ่ายทอดงาน ให้ผู้ใต้บังคับบัญชา.
• สรุปงาน ประเมินประสิทธิภาพของระบบ และการบริการด้านเทคโนโลยีสารสนเทศในภาพรวม ร่วมกับผู้บังคับบัญชา.
• เสนอแนะแนวทางหรือเทคโนโลยีใหม่ ๆ ที่เหมาะสมแก่การปฎิบัติงาน.
• Educations Background(การศึกษา).
• ปริญญาตรีสาขาบริหารธุรกิจ วิทยาการคอมพิวเตอร์ คอมพิวเตอร์ธุรกิจ หรือ สาขาอื่น ๆ ที่เกี่ยวข้อง.
• Professional Experiences(ประสบการณ์การทำงาน).
• มีประสบการณ์ทำงานอย่างน้อย 8 ปี โดยมีประสบการณ์ด้านการบริการด้านเทคโนโลยีสารสนเทศ.
• มีความรู้ และทักษะในการบริหารทีมงาน.
• มีความรู้ด้านการบริการด้านเทคโนโลยีสารสนเทศ (IT Service Management).
• สามารถวิเคราะห์ แก้ปัญหาที่ซับซ้อนได้.
• มีความรู้พื้นฐานของระบบที่เกี่ยวกับกระบวนการทางธุรกิจ เช่น ระบบบัญชี, ระบบการเงิน, ภาษีอากร, ระบบงานขาย, ระบบการวางแผนการผลิต, ระบบโลจิสติก เป็นต้น.
• มีทักษะการวินิจฉัย เพื่อระบุปัญหาฮาร์ดแวร์ ซอฟต์แวร์ และเครือข่าย.
• มีความรู้ทางด้าน IT Infrastructure เช่น System, Network, Docker, VM, DevOps เป็นต้น และเข้าใจพื้นฐานการทำงานของระบบดังกล่าว.

Experience:

3 years required

Skills:

Architecture, Kubernetes, MongoDB, RESTful, Docker

Job type:

Full-time

• All positions require a criminal background check.
• Digital & Technology.
• Software Engineer.
• 5 Aug 2026.
• Bangkok, Thailand.
• Kiatnakin Phatra Bank Public Company Limited.
• We are looking for a highly skilled and detail-oriented Golang Developer to join our backend engineering team. This position is ideal for professionals who have a strong foundation in system design, distributed architecture, and high-performance service development using Go. You will play a key role in building scalable backend systems that power mission-critical business applications.
• Role and Responsibilities /.
• Design, implement, and maintain scalable, reliable, and high-performance backend services using Go (Golang).
• Develop APIs and microservices that align with product requirements and architectural standards.
• Collaborate with product managers, DevOps engineers, and front-end developers to deliver seamless end-to-end solutions.
• Write clean, efficient, and testable code, adhering to industry best practices and internal coding guidelines.
• Participate in system architecture and design reviews to ensure robustness and scalability.
• Monitor application performance, troubleshoot issues, and continuously improve system reliability.
• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of professional experience in backend development with a strong focus on Golang.
• Solid understanding of Go runtime, goroutines, channels, and memory management.
• Proficiency in building and consuming RESTful and/or gRPC APIs.
• Experience with relational (PostgreSQL, MySQL) and non-relational (MongoDB, Redis) databases.
• Familiarity with Docker, Kubernetes, and cloud environments such as AWS, GCP, or Azure.
• Specific knowledge and skill / ความรู้เฉพาะตำแหน่ง.

Skills:

Docker, DevOps

Job type:

Full-time

• ตรวจสอบมาตรฐาน กำกับดูแล และบริหารจัดการ การบริการด้านเทคโนโลยีสารสนเทศ.
• ทำหน้าที่เป็นผู้จัดการเหตุการณ์ด้านเทคโนโลยีสารสนเทศ (Incident Manager) สำหรับเหตุการณ์หลัก.
• ทำหน้าที่เป็นผู้จัดการปัญหาด้านเทคโนโลยีสารสนเทศ (Problem Manager).
• ทำหน้าที่เป็นผู้จัดการดูแล Service Level Agreement ให้เป็นไปตามตามนโยบาย.
• กำหนด KPI ที่ชัดเจนสำหรับการวัดประสิทธิภาพและเป็นแนวทางในการดำเนินงานของทีม.
• ทำงานร่วมกับทีมอื่น ๆ ที่เกี่ยวข้อง เช่น ทีมสนับสนุนผู้ใช้, ทีมพัฒนา, ทีมโครงสร้างพื้นฐาน เป็นต้น.
• สรุปงาน ประเมินประสิทธิภาพของระบบ และการบริการด้านเทคโนโลยีสารสนเทศในภาพรวม ร่วมกับผู้บังคับบัญชา และรายงานผลไปยังกลุ่มธุรกิจที่ได้มอบหมาย.
• เสนอแนะแนวทางหรือเทคโนโลยีใหม่ ๆ ที่เหมาะสมแก่การปฎิบัติงาน.
• Educations Background(การศึกษา).
• ปริญญาตรีสาขาบริหารธุรกิจ วิทยาการคอมพิวเตอร์ คอมพิวเตอร์ธุรกิจ หรือ สาขาอื่น ๆ ที่เกี่ยวข้อง.
• Professional Experiences(ประสบการณ์การทำงาน).
• มีประสบการณ์ทำงานอย่างน้อย 5 ปี โดยมีประสบการณ์ด้านการบริการด้านเทคโนโลยีสารสนเทศ.
• มีความรู้ด้านการบริการด้านเทคโนโลยีสารสนเทศ (IT Service Management).
• สามารถวิเคราะห์ แก้ปัญหาที่ซับซ้อนได้.
• มีความรู้พื้นฐานของระบบที่เกี่ยวกับกระบวนการทางธุรกิจ เช่น ระบบบัญชี, ระบบการเงิน, ภาษีอากร, ระบบงานขาย, ระบบการวางแผนการผลิต, ระบบโลจิสติก เป็นต้น.
• มีทักษะการวินิจฉัย เพื่อระบุปัญหาฮาร์ดแวร์ ซอฟต์แวร์ และเครือข่าย.
• มีความรู้ทางด้าน IT Infrastructure เช่น System, Network, Docker, VM, DevOps เป็นต้น และเข้าใจพื้นฐานการทำงานของระบบดังกล่าว.

Skills:

Docker, DevOps, Linux

Job type:

Full-time

• กำหนด KPI ที่ชัดเจนสำหรับการวัดประสิทธิภาพและเป็นแนวทางในการดำเนินงานของทีม.
• ฝึกอบรม, ถ่ายทอดความรู้ให้แก่ทีม ให้มีความรู้เพียงพอในการปฏิบัติงานและอัพเดพอยู่เสมอ.
• ทำงานร่วมกับทีมอื่น ๆ ที่เกี่ยวข้อง เช่น ทีมสนับสนุนผู้ใช้, ทีมพัฒนา เป็นต้น.
• จัดทำ Knowledge Base เพื่อเป็นแนวทางป้องกันและแก้ไขปัญหา.
• มอบหมายงาน ติดตามงาน ถ่ายทอดงาน ให้ผู้ใต้บังคับบัญชา.
• วิเคราะห์แก้ไขปัญหาซับซ้อน รุนแรง ที่ส่งผลกระทบในวงกว้างได้อย่างรวดเร็ว.
• สรุปงาน ประเมินประสิทธิภาพของระบบในภาพรวม ร่วมกับผู้บังคับบัญชา.
• เสนอแนะแนวทางหรือเทคโนโลยีใหม่ ๆ ที่เหมาะสมแก่การปฎิบัติงาน.
• Educations Background(การศึกษา).
• ปริญญาตรีสาขาบริหารธุรกิจ วิทยาการคอมพิวเตอร์ คอมพิวเตอร์ธุรกิจ หรือ สาขาอื่น ๆ ที่เกี่ยวข้อง.
• Professional Experiences(ประสบการณ์การทำงาน).
• มีประสบการณ์ทำงานอย่างน้อย 8 ปี.
• มีความรู้พื้นฐานทางเกี่ยวกับกระบวนการทางธุรกิจ เช่น ระบบบัญชี, ระบบการเงิน, ภาษีอากร, ระบบงานขาย, ระบบการวางแผนการผลิต, ระบบโลจิสติก เป็นต้น.
• สามารถวิเคราะห์ แก้ปัญหาและให้คำปรึกษาเกี่ยวกับระบบ/ขั้นตอนการทำงานได้.
• มีทักษะการวินิจฉัย เพื่อระบุปัญหาฮาร์ดแวร์ ซอฟต์แวร์ และเครือข่าย.
• มีความรู้ทางด้าน IT Infrastructure เช่น System, Network, Docker, VM, DevOps เป็นต้น เข้าใจพื้นฐานการทำงานของระบบดังกล่าว.
• มีความรู้ทางด้านการจัดการฐานข้อมูล.
• ความรู้เกี่ยวกับระบบปฏิบัติการและฮาร์ดแวร์: เข้าใจพื้นฐานการทำงานของระบบปฏิบัติการที่พบบ่อย เช่น Windows, macOS, Linux และมีความรู้เกี่ยวกับฮาร์ดแวร์ทั่วไป เช่น CPU, RAM, Storage.
• มีความรู้ และทักษะในการบริหารทีมงาน.

Skills:

SQL, Python, Docker, Big Data, Hadoop

Job type:

Internship

• Manipulate data from different sources.
• Select and integrate any Big Data tools and frameworks required to provide requested capabilities.
• Implement ETL process.
• Monitor performance and advise any necessary infrastructure changes.
• Work within a team supporting software & data system development, training and integration & test infrastructure.
• Identify and solve business challenges utilizing large structured and unstructured data from different sources.
• Get hands-on experience with tech industry real use cases, pertaining to data engineering for AI/ML and an opportunity to present your work to the whole engineering department.
• Get involved in great discussions in the data world with an international team.
• Get hands-on experience with Containerization technologies in the industry like Docker and Kubernetes.
• Currently studying for a Bachelor's Degree in Computer Science or any related fields.
• Knowledge of SQL database maintenance and Python.
• Basic knowledge of containerization technologies and Docker.
• Basic knowledge of big data technologies such as Spark, Hadoop, or Hive.
• Good communications skills; ability to work independently or in a team environment.
• Interested in public cloud technologies.
• Able to quickly learn new technologies.
• This is your chance to build your career in a growing data-driven and AI industry.
• Sertis may collect, use, or disclose your personal data or personal data of other persons provided by you in order to carry out your recruitment process. For more information, please refer to our Recruitment Privacy Notice.

Experience:

5 years required

Skills:

Electrical Engineering, Kubernetes, Docker, Python, Cloud Computing

Job type:

Full-time

• Build and maintain data pipelines, simulation, and trading systems.
• Work directly with traders and researchers to turn strategies into production.
• Role and Responsibilities.
• Collaborate with traders and researchers to understand strategies and identify opportunities.
• Design, develop, and maintain data pipelines and simulation systems.
• Design, develop, and maintain trading systems and tools.
• Bachelor's degree in Computer Science, Computer/Electrical Engineering, Mathematics, Statistics, or a related field.
• Proficiency in one of the backend programming languages, preferably Python (C# or C++ is a plus).
• Familiarity with frontend technologies, such as React.
• Strong analytical, problem-solving, and communication skills.
• Interest in learning about financial markets.
• Effective and responsible use of AI in daily work.
• Specific knowledge and skill / ความรู้เฉพาะตำแหน่ง.
• Experience with data processing and large datasets.
• Experience with infrastructure technologies such as Docker, Kubernetes, and cloud platforms.

Experience:

5 years required

Skills:

Automation, Kubernetes, Python, Docker, Leadership Skill

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:

5 years required

Skills:

TensorFlow, Big Data, Hadoop, Docker, Kubernetes

Job type:

Full-time

• Lead the design, development, and implementation of on-premises MLOps solutions that support the delivery of machine learning models.
• Collaborate with data scientists and software engineers to build scalable and efficient data pipelines and model training and deployment systems.
• Develop and maintain monitoring and management tools to ensure the reliability and performance of our on-premises MLOps infrastructure.
• Work with stakeholders across the organization to understand their machine learning needs and requirements, and to develop MLOps solutions that meet those needs.
• Stay up-to-date with the latest trends and technologies in MLOps, machine learning, and artificial intelligence, and share your knowledge with the team to help us stay at the forefront of the field.
• Mentor junior members of the team and help them grow their skills and expertise in MLOps.
• Troubleshooting and debugging user issues.
• What You'll Need to Succeed.
• 5+ years of experience in MLOps, Software engineering, Data engineering, or a related field.
• Strong programming skills in a modern programming language (Java, Scala, Python, Kotlin).
• Hands-on experience with Kubernetes - deploying and operating workloads (jobs, services, or ML/training pipelines), debugging pod failures, and working with core concepts (Deployments, ConfigMaps/Secrets, Services, resource limits).
• Excellent communication and collaboration skills, and the ability to work effectively in a team environment.
• Value code simplicity and performance.
• Understanding of ML Projects lifecycle.
• Experience with MLOps platforms, such as Kubeflow or MLFlow.
• Experience with ML frameworks - like scikit-learn, LGBM, Tensorflow, PyTorch etc.
• Experience with Big Data tools - Spark, S3, Hadoop.
• Strong knowledge of containerization and container orchestration technologies, such as Docker and Kubernetes.
• Experience with DevOps and CI/CD practices.
• Has experience building and scaling model serving tools, i.e building APIs with tight SLAs.
• Passion for the engineering behind machine learning, and scaling it.
• Experience designing and building MLOps infrastructure, including data pipelines, model training and deployment systems, and monitoring and management tools.
• telaviv.
• 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.

Experience:

3 years required

Skills:

Software Development, Recruitment, Docker, English

Job type:

Full-time

• Collaborate with cross-functional teams to understand business requirements and design ML solutions to meet those needs.
• Develop and maintain scalable infrastructure for model training and deployment.
• Develop cloud-native APIs, pipelines, and general software for model inference.
• Work with cutting-edge foundation models and build agentic systems from scratch.
• Troubleshoot and resolve issues related to generative AI models and implementations.
• Engage with clients to gather requirements and ensure smooth collaboration throughout project lifecycles.
• Develop and maintain technical documentation.
• At least 3 years of experience as an AI/ML Engineer, past experience in Data science, Software development and/or Machine learning for cloud-based solutions.
• A strong understanding of machine learning processes and standards, as well as the Software Development Life Cycle (SDLC).
• Strong programming skills in Python, C++, or other languages commonly used in machine learning applications.
• Good understanding of Generative AI concepts and real-world experience developing Generative AI applications.
• Hands-on experience with LLM APIs such as OpenAI or Hugging Face.
• An understanding of REST APIs, git version control, CI/CD, and MLOps principles.
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Experience with Docker and containerization.
• Excellent problem-solving skills and the ability to work well in a fast-paced, collaborative environment.
• The ability to scope projects, define architectures, and choose technologies based on project requirements.
• Strong communication and interpersonal skills to effectively collaborate with clients and team members.
• Proven experience in providing technical mentorship and guidance to junior engineers.
• Strong communication skills in English.
• Thai citizen only*.
• Sertis may collect, use, or disclose your personal data or personal data of other persons provided by you in order to carry out your recruitment process. For more information, please refer to our Recruitment Privacy Notice.

Skills:

Docker, Python

Job type:

Full-time

• Build Customer-Centric AI Systems: Lead the hands-on development of AI-powered systems focused on customer intelligence, such as personalization engines, advanced chatbots, sentiment analysis tools, and customer journey optimizers.
• Architectural Contribution: Contribute to and influence the technical architecture for customer-facing AI solutions, ensuring the designs are robust, scalable, and effective.
• Implement Advanced AI Patterns: Build sophisticated systems that leverage Agentic Ar ...
• Market Intelligence & Innovation: Actively scan the AI landscape for emerging trends in customer experience (CX) and marketing technology. Evaluate new tools and techniques to keep our client solutions at the forefront of the industry.].
• Model Selection & Implementation: Provide expert guidance on selecting the best AI models for specific customer intelligence tasks, based on performance, cost, and latency, and then lead the technical integration.
• Champion AI Quality & Testing: Design and execute comprehensive testing strategies to ensure the accuracy, reliability, and fairness of customer-facing AI applications.
• Cross-Functional Collaboration: Work as a deeply embedded member of the project team, collaborating closely with client stakeholders, designers, and strategists to deliver cohesive and impactful solutions.
• Rapid Prototyping & Iteration: Quickly build and iterate on prototypes to validate ideas and demonstrate the potential of AI to enhance the customer experience.
• Demonstrate a strong commitment to personal learning and development.
• Understand how our daily work contributes to the priorities of the team and business.
• Understand the set expectations and demonstrate accountability in keeping personal performance on track.
• Actively focus on developing effective communications and relationship-building skills with stakeholders, clients and team.
• Demonstrate an appreciation for working with others.
• Understand what is fundamental to Deloitte's success as a business.
• Demonstrate integrity and an awareness of strengths, differences, and personal impact.
• Develop their understanding of Deloitte and offer a fresh perspective.
• We are looking for a candidate who is a strong software engineer with a deep, practical specialization in applying AI to customer data.
• Expert Software Engineering: Expert-level proficiency in Python/NodeJS is preferred. Strong experience building and deploying production applications using Docker, CI/CD, and robust testing frameworks.
• Practical AI Systems Experience: Proven, hands-on experience building complex AI applications. Experience with customer data platforms, personalization, or marketing technology is a significant plus.
• Knowledge of Advanced AI Patterns: Strong, practical understanding of Retrieval-Augmented Generation (RAG), Agentic Architectures, and Function/Tool Calling.
• AI Model & Framework Expertise: Experience working with a variety of LLM provider APIs (OpenAI, Anthropic, Google, etc.) and AI development frameworks like LangChain, LlamaIndex, or similar.
• AI Testing Acumen: A solid understanding of the challenges in testing LLM-based systems and practical experience in creating evaluation harnesses or testing frameworks.
• Problem-Solving & Agility: A pragmatic problem-solver with a bias for action. You can navigate ambiguity and deliver high-quality work in a fast-paced environment.
• Strong Communication: Ability to clearly explain complex technical concepts to other engineers, product managers, and business stakeholders.
• Due to volume of applications, we regret that only shortlisted candidates will be notified.
• Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website.

Skills:

Automation, Kubernetes, Docker, Golang, Amazon AWS

Job type:

Full-time

• Monitor and operate production systems to ensure high availability and reliability.
• Improve observability through better metrics, logging, tracing, and alerting.
• Automate manual and repetitive operations tasks to improve efficiency.
• Collaborate with engineering teams to design resilient, scalable systems.
• Improve developer experience by building custom tools and automating infrastructure.
• Participate in on-call rotations and handle incident response.
• Conduct post-incident reviews and drive system improvements.
• Benchmark, test, and optimize system performance and scalability.
• Enhance CI/CD pipelines, deployment workflows, and infrastructure processes.
• Strong experience with AWS (or other major cloud providers such as GCP or Azure).
• Hands-on experience with Kubernetes, Docker, and container orchestration.
• Solid Linux systems knowledge.
• Programming skills in Golang, Python, Bash, or similar.
• Familiarity with CI/CD and automation tools: ArgoCD, Crossplane, GitHub Actions, Terraform, Ansible.
• Strong understanding of cloud security best practices and tools such as Vault, AWS Secrets Manager, or HashiCorp Consul.
• Experience with observability and monitoring tools (Prometheus, Grafana, ELK, Loki, Datadog).
• Solid understanding of networking, load balancing, DNS, and security.
• Nice to Have.
• Background in software engineering.
• Strong focus on improving developer experience and setting best practices.
• Cross-team collaboration and communication skills.
• Working with Manatal.
• This role is based at our Bangkok office in the heart of the city center.
• As a team of diverse cultures and nationalities, English language proficiency is required.
• We enjoy collaborating in person and the team is working on-site.
• Why you'll enjoy working with Manatal.
• Well-funded start-up backed by Surge & Sequoia.
• Be part of one of the fastest-growing B2B SaaS start-ups in the region.
• You will be collaborating with talented individuals in the industry.
• Join a lively and highly international team.
• Indulge in a challenging and innovative working culture.
• Attractive medical healthcare plan.
• Personal development allowance.
• 2 weeks of work from anywhere per year.
• Regular fun team-building activities.
• Company trip.
• Our Tech Stack.
• Infrastructure: Amazon Web Services; Kubernetes; GitOps (ArgoCD), Github Actions.
• Backend: Language: Python; Web Frameworks: Python frameworks including Django, Flask, Fast API;.
• Databases: PostgreSQL, MongoDB, ElasticSearch, and Redis, among others;.
• Other: Celery, RabbitM,Q among others.
• Frontend: Javascript & Vue.JS.
• Hiring Process.
• Interview with the HR Team.
• Technical Online Screening Assessment.
• Technical Interview with the Engineering Team.
• Apply on our Careers Page.
• If you are a fit for this role and are excited to join Manatal, please follow this link to apply https://www.careers-page.com/manatal/job/L3X639RW.
• Get to know more about us and our product:www.manatal.com.
• Watch Manatal's product demo: https://manatal.wistia.com/medias/vobnq7lvm1.
• Manatal Hiring: At Manatal, we are dedicated to building an intuitive AI-powered application tracking system to streamline and transform the entire hiring and recruitment process.
• Manatal Hiring.
• At Manatal, we are dedicated to building an intuitive AI-powered application tracking system to streamline and transform the entire hiring and recruitment process.
• We are devoted to attracting the best talent worldwide to join our team and take pride in being an equal-opportunity workplace. We are committed to equal employment opportunities regardless of religion, race, ethnicity, ancestry, national origin, gender, gender identity, sex, sexual orientation, marital or parental status, disability, age, citizenship or other class protected by applicable law.

Skills:

Architecture, Automation, Big Data, Python, Docker

Job type:

Full-time

• Data Pipeline & Architecture.
• ออกแบบและสร้างท่อส่งข้อมูล (ETL/ELT Pipelines) ทั้งแบบ Batch และ Real-time.
• เชื่อมต่อข้อมูลจากแหล่งต่าง ๆ เช่น Database, REST APIs, และ Message Queues.
• ออกแบบและวางรากฐานโครงสร้างข้อมูล (Data Schema) เพื่อรองรับการทำ Data Analytics เชิงลึก พร้อมทั้งวางแผนและบริหารจัดการการพัฒนาเครื่องมือภายใน (Internal Tools).
• ตรวจสอบและแก้ไขปัญหา Query ที่ทำงานช้า (Slow Query).
• ออกแบบ Index และโครงสร้างข้อมูลเพื่อเพิ่มประสิทธิภาพการดึงข้อมูล.
• Data Quality & Monitoring.
• ตรวจสอบความถูกต้อง (Data Validation) และความสะอาดของข้อมูลก่อนนำเข้าสู่ระบบ.
• สร้างระบบ Monitoring และ Alerting เมื่อระบบ Pipeline เกิดข้อผิดพลาด รวมถึงพบความผิดปกติของ Data.
• DataOps & Automation.
• ใช้ GitLab CI/CD ในการทำ Automated Testing และ Deploy ระบบ Pipeline.
• จัดการ Containerization ด้วย Docker เพื่อให้ระบบทำงานได้เสถียรในทุก Environment.
• Collaboration & Documentation.
• ทำงานร่วมกับ Data Analyst และทีม Developer เพื่อเปลี่ยนความต้องการทางธุรกิจให้เป็น Technical Solution.
• จัดทำเอกสาร Data Dictionary และ Data Lineage เพื่อความโปร่งใสของที่มาข้อมูล.
• ทักษะทางเทคนิค (Technical Skills).
• Languages: Advanced SQL (Window Functions, CTEs), และ Python (Pandas, PySpark).
• Concepts: เข้าใจหลักการ Data Warehouse, Data Lake, และ Big Data สถาปัตยกรรมต่าง ๆ.
• Cloud: มีประสบการณ์ใช้งาน Cloud Data Warehouse และ Cloud Storage (AWS, Azure, หรือ GCP).
• Version Control: ใช้งาน Git (GitLab, GitHub) ได้คล่องแคล่ว (Branching, Merge Request).
• Data Structures & Algorithms: เข้าใจพื้นฐานในระดับที่สามารถออกแบบโค้ดที่มีประสิทธิภาพ.
• ทักษะเพิ่มเติม (จะพิจารณาเป็นพิเศษ).
• Streaming: มีความเข้าใจระบบ Message Broker เช่น Kafka หรือ RabbitMQ.
• Orchestration: เคยใช้งานเครื่องมือจัดการลำดับงาน เช่น Airflow หรือ Prefect.
• Tools: มีประสบการณ์การใช้ dbt (Data Build Tool) ในการจัดการ SQL Models.
• ผู้ถือสัญชาติไทยเท่านั้น.
• วุฒิการศึกษาระดับปริญญาตรีในสาขา Computer Engineering, IT หรือสาขาที่เกี่ยวข้อง.
• ประสบการณ์ 1-3 ปี (หากเป็นเด็กจบใหม่ ต้องมี Portfolio หรือโปรเจกต์ที่เกี่ยวข้องอย่างชัดเจน).
• มีทักษะการคิดเชิงตรรกะ (Logical Thinking) และความสามารถในการสื่อสารเรื่องเทคนิคให้คนทั่วไปเข้าใจได้ง่าย.
• มีทักษะด้านการสื่อสารและการประสานงานที่มีประสิทธิภาพ.
• มี Growth Mindset.
• สมัครงาน.
• หรือแนะนำผู้อื่น.
• แชร์.
• Facebook.
• Line.
• LinkedIn.
• X (Formerly Twitter).
• Whatsapp.
• Email.

Skills:

Kubernetes, Docker, Cloud Computing, .NET, Java

Job type:

Full-time

• Responsibilities Own what you ship. Take full responsibility for your work - from design to delivery - and consistently hit the commitments you make to the team and stakeholders. Use AI to multiply quality and speed. Leverage AI coding assistants and agentic workflows to write better code, catch issues earlier, accelerate reviews, and improve engineering efficiency across the team. Architect for scale. Design and build high-availability, fault-tolerant backend services and APIs. Drive technical excellence. Set standards for code quality, CI/CD, security (PCI DSS), testing, and code ...
• Must-have: Backend / full-stack experience in production environments Proficiency in Java and/or.NET Hands-on with cloud (AWS or similar), Docker/Kubernetes, and serverless Hands-on experience with at least one AI coding assistant in real projects (not just trial use) Solid fundamentals: clean code, testing, code review, Git workflow Awareness of data security & responsible AI usage (no sensitive data in prompts, etc.) Nice-to-have: Fintech/payment / high-TPS API background Experience with agentic workflows, MCP, custom skills, or prompt engineering at scale Contributions to internal tooling, dev productivity, or DevEx initiatives Exposure to observability stack (Grafana, Loki, Tempo) Mindset we're looking for: Treats AI as a co-pilot, not an oracle - validates output Systems thinker, not just a task executor Comfortable sharing knowledge and lifting team capability.
• Minimum.
• Qualifications (NEW) Bachelor's degree in Computer Science, Software Engineering, or related field. Proven experience delivering large-scale, high-traffic backend systems in production. We offer an attractive remuneration package, a fast-paced and exciting working environment, and provide challenging opportunities for life-long learning and career development. Interested candidates are invited to send your comprehensive resume with current and expected salary package via this job ad. Please note that only shortlisted candidates will be notified. Please consult our Candidate Privacy Notice to know more about how we collect, use, transfer and disclose our candidates' information: https://2c2p.com/candidate-privacy-notice. By submitting your resume and information, you understand, acknowledge, and consent that your personal data will be processed in accordance with our Candidate Privacy Notice. You consent to the collection, use, transfer and disclosure of your personal data as well as to receive email and/or other electronic messaging communication from 2C2P.

Skills:

System Administration, Automation, DevOps, Docker, Cloud Computing

Job type:

Full-time

• รับผิดชอบการออกแบบ พัฒนา และดูแล Infrastructure, Cloud Platform และ Deployment Pipeline สำหรับโซลูชัน Industrial IoT, AI และ Software Application ของ Qonnect ทำงานร่วมกับทีม Software Developer, Data/AI Engineer และ Project Manager เพื่อให้ระบบสามารถ Deploy ได้อย่างรวดเร็ว ปลอดภัย มีเสถียรภาพ และสามารถรองรับการใช้งานจริงของลูกค้าในภาคอุตสาหกรรม.
• Cloud & Infrastructure ดูแลและบริหาร Cloud Infrastructure (Azure/AWS) ออกแบบและดูแลระบบ Production, Staging และ Development Environment บริหาร Network, Server, Security ...
• ปริญญาตรีด้าน Computer Engineering, Computer Science, IT หรือสาขาที่เกี่ยวข้อง ประสบการณ์ 2-5 ปีด้าน DevOps, Cloud Engineer, System Engineer หรือ Infrastructure Engineer มีประสบการณ์ใช้งาน Linux Server มีประสบการณ์กับ Cloud Platform เช่น Azure หรือ AWS มีประสบการณ์ใช้งาน Docker และ CI/CD Tools มีพื้นฐานด้าน Network, Server, Security และ System Administration มีทักษะแก้ไขปัญหาและวิเคราะห์ระบบที่ดี สามารถสื่อสารและทำงานร่วมกับทีมพัฒนาได้ Preferred.
• ประสบการณ์ด้าน Industrial IoT หรือ Manufacturing System ประสบการณ์ Kubernetes ประสบการณ์ Terraform หรือ Infrastructure as Code ประสบการณ์ Azure DevOps, GitHub Actions หรือ GitLab CI/CD ประสบการณ์ Monitoring Tools เช่น Grafana, Prometheus, ELK หรือ Azure Monitor มีความรู้ด้าน Cybersecurity หรือ DevSecOps มีประสบการณ์ดูแล Production Environment ขนาดใหญ่ เข้าใจ MQTT, OPC UA หรือ Industrial Networking จะได้รับการพิจารณาเป็นพิเศษ.

Skills:

Database Administration, ElasticSearch, Enthusiastic, Automation, Docker

Job type:

Full-time

• ORACLE DBA more than 5+ years.
• Must have extensive knowledge of.
• Oracle 11,12c RDBMS and RAC.
• Knowledge of MySQL &.
• PostgreSQL is an added advantage.
• Design and build databases, schemas, stored procedures, and other database objects.
• Design Backup Recovery Strategy based on application requirements like Schedule, retention etc. Set up routine database backup procedures and disaster recovery procedures.
• Perform database recoveries.
• Perform database performance tuning and capacity planning.
• Setup monitoring and alerting on database performance, system metrics, trends.
• Assist developers and end-users with database usage, query development, and tuning.
• Support database connectivity from client applications.
• Goldengate or Any other Data.
• Integration Tools.
• Provides help to junior DBA s with complex database tasks.
• Competent to work at the highest level of all phases of database administration.
• Knowledge of logical, physical standby.
• Knowledge of AWS and other RDS on cloud environments.
• Knowledge of automation framework (Terraform, Ansible, Git) are advantageous.
• UNIX scripting knowledge is mandatory.
• On-Call Support Rotation.
• Knowledges of NoSQL, KSQL and.
• ElasticSearch are advantageous.
• Desirable.
• Extensive experience performing.
• RDBMS software installation, database creation, database sizing, establishment of backup and recovery procedures and scripts, database performance tuning.
• Extensive knowledge of administering Oracle databases in a LINUX environment, Docker/container, AWS.
• Must have experience with Oracle.
• RMAN, ASM, Data Guard and OEM.

Skills:

Automation, Kubernetes, Red Hat, Docker, Python

Job type:

Full-time

• POC & Implement.
• Logging.
• Monitoring.
• Resiliency (HA,DRP,BCP).
• Security.
• Delivery infrastructure as product.
• Document & SupportSkills and Prerequisites.
• Python.
• Automation framework (Ansible, AWX, RunDeck).
• Infrastructure as Code (Terraform).
• CI/CD Pipeline.
• Docker / Kubernetes.
• OpenShift.
• Prometheus.
• Red Hat (IDM, Sattellite, Capsule).
• Software Defined Network.
• Software Defined Storage.
• Secrets Management, Vault.
• Message Queue (RabitMQ, etc.).
• ELK, Grafana.

Experience:

5 years required

Skills:

Automation, ASP.NET, GraphQL, MongoDB, Docker

Job type:

Full-time

• Bangkok, Thailand.
• Full-time.
• Workplace: on_site.
• Department: Technology.
• Working Location: Empire Tower (100% onsite, accessible via BTS Chong Nonsi).
• Role summary.
• A senior engineer who can pick up any of our payment products and deliver backend features and services end-to-end. You design systems, set the code-quality bar by example, mentor other engineers, and help keep production healthy. Because you may move between products, the ability to learn quickly in an unfamiliar codebase is key.
• Deliver backend features and services end-to-end - design, build, test, deploy, and monitor - across multiple products.
• Design APIs and systems (microservices, modular monolith, Domain-Driven Design); own performance and security by default.
• Review code with meaningful feedback and mentor junior and mid-level engineers.
• Take part in production support / on-call; investigate incidents to root cause and improve reliability.
• Use AI-native tools (Kiro, GitHub Copilot) and build reusable skills / automation that speed up the team.
• Contribute to shared libraries, standards, and reusable components.
• Required qualifications & skills.
• 5+ years of professional software engineering.
• Deep hands-on expertise in C# /.NET and ASP.NET Core (REST APIs, dependency injection, async).
• Strong relational database skills (SQL Server / MySQL) with EF Core and Dapper.
• Cloud experience on.
• AWS.
• (ECS / EKS, Lambda, S3, SQS, RDS) and Docker.
• Solid grasp of microservices, modular monolith, and Domain-Driven Design; good API design.
• Automated testing (xUnit + mocking), monitoring / observability, CI/CD, and secure coding; awareness of payment compliance (PCI-DSS).
• Comfortable using AI-assisted development tools daily.
• Able to get productive quickly in an unfamiliar codebase.
• Nice to have (one or more).
• Payments - card issuing, 3-D Secure / ACS, or payment gateway.
• Java with jPOS / ISO-8583; Visa / Mastercard host integration.
• Microsoft Orleans, gRPC, or GraphQL.
• Applied cryptography / HSM.
• Messaging / streaming with Kafka.
• Alternative datastores - OceanBase, DynamoDB, MongoDB.
• Infrastructure as Code with Terraform.
• We offer an attractive remuneration package, a fast-paced and exciting working environment, and provide challenging opportunities for life-long learning and career development.
• Interested candidates are invited to send your comprehensive resume with current and expected salary package via this job ad. Please note that only shortlisted candidates will be notified.
• Please consult our Candidate Privacy Notice to know more about how we collect, use, transfer and disclose our candidates' information: [https://2c2p.com/candidate-privacy-notice.](https://2c2p.com/candidate-privacy-notice.).
• By submitting your resume and information, you understand, acknowledge, and consent that your personal data will be processed in accordance with our Candidate Privacy Notice. You consent to the collection, use, transfer and disclosure of your personal data as well as to receive email and/or other electronic messaging communication from 2C2P.
• Apply.
• Apply at 2C2P](https://apply.workable.com/2c2p/j/BE085D97D3/apply).

Experience:

8 years required

Skills:

Architecture, Automation, Kubernetes, DevOps, Docker

Job type:

Full-time

• Bangkok, Thailand.
• Full-time.
• Workplace: on_site.
• Department: Technology.
• The Senior Machine Learning Engineer I sits in the Finance Transformation team in IT at CP Axtra, building and operating AI/LLM-powered features that automate and augment finance processes across Makro and Lotus's. The role requires strong engineering fundamentals, hands-on experience deploying AI features into production, and the ability to work with Finance and cross-functional teams. It does not focus on developing custom ML models, but deep technical proficiency and system-level thinking are essential.
• AI and LLM Evaluation.
• Evaluate large language models and AI services for accuracy, reliability, safety, latency, and business suitability on finance use cases.
• Design structured evaluation frameworks, test cases, and benchmarking methodologies.
• Conduct prompt testing, retrieval validation, and failure-mode analysis.
• Implement quality guardrails, safety filters, and monitoring for LLM applications handling sensitive financial data.
• System and Backend Development.
• Build and maintain backend services and APIs that integrate LLMs or AI workflows with finance systems such as Oracle Fusion.
• Architect scalable systems supporting chat interfaces, retrieval pipelines, classification tools, or finance workflow automation.
• Implement solid software engineering practices: testing, versioning, error handling, observability, and performance optimization.
• Ensure robust integration with internal systems, data services, and production infrastructure.
• AI Application Engineering.
• Work on features powered by LLMs such as RAG systems, finance copilots, document intelligence for invoices/contracts, and intelligent automation.
• Implement embeddings, document retrieval layers, vector search, caching, and fallback logic.
• Collaborate with platform teams on deployment, API management, and resource optimization.
• Operations and Reliability.
• Monitor AI features in production and proactively address model drift, latency issues, and failure patterns.
• Maintain evaluation logs, experiment results, and version control for AI workflows.
• Work with DevOps to manage CI/CD pipelines, container deployment, and runtime environments.
• Collaboration and Delivery.
• Partner with product owners, Finance teams, and engineering teams to convert requirements into reliable AI solutions.
• Provide technical guidance on feasibility, architecture choices, and operational trade-offs.
• Produce clear documentation on workflows, system design, evaluation methods, and application behavior.
• 1\. 5 to 8 years of experience in software engineering, ML engineering, or AI engineering.
• 2\. Strong proficiency in Python and experience designing production-grade backend services.
• 3\. Proven experience deploying AI or LLM-based applications into production environments.
• 4\. Solid understanding of system design, distributed systems, APIs, and microservices.
• 5\. Experience with LLM tooling such as Azure OpenAI, ChatGPT, or similar platforms.
• 6\. Hands-on experience with vector databases, embeddings, or retrieval-based architectures.
• 7\. Strong problem-solving skills and the ability to evaluate AI model behavior systematically.
• 8\. Experience with Docker, Kubernetes, CI/CD pipelines, and cloud environments.
• Preferred.
• 1\. Experience building or maintaining RAG systems, chat systems, or AI automation workflows.
• 2\. Familiarity with observability tools (logging, tracing, monitoring) in production environments.
• 3\. Experience working with Airflow, Prefect, or orchestration frameworks.
• 4\. Knowledge of data pipelines, ETL workflows, or integration with ERP systems such as Oracle Fusion.
• 5\. Domain knowledge in finance, retail, loyalty, process automation, or enterprise systems.
• International workplace.
• Opportunities for growth in e-commerce, wholesales, and retail industry.
• Competitive benefits.
• Fast-paced, dynamic, and supportive environment.
• Apply.
• Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/CBB27D6D32/apply).

Experience:

3 years required

Skills:

Architecture, Kubernetes, Power BI, Docker, English

Job type:

Full-time

• Responsible for designing, constructing, and maintaining the data architecture and infrastructure that enable the storage, processing, and analysis of large volumes of data which requires a combination of technical skills and proficiency with various software tools to effectively manage and manipulate data.
• Data Pipeline Development: They design, construct, and maintain scalable data pipelines that collect, process, and distribute data across systems.
• Database Management: They manage databases and data warehouses, ensuring efficient d ...
• Data Integration: They integrate data from different sources and systems to provide unified views and ensure data consistency across the organization. This may involve designing APIs, implementing data synchronization processes.
• Bachelor's degree in Computer Science, Computer Engineer, Data Engineering, or a related field. ( A minimum GPA of 2.70 for the Bachelor's degree and 3.30 for the Master's degree.).
• Good command of English, with a minimum TOEIC score of 550 or CEFR B1 level. Candidates without a valid English proficiency test score may take the assessment at a later stage.
• Experience in data engineering, ETL/ELT development, and data pipeline design.
• Strong SQL skills with knowledge of database management and query optimization.
• Hands-on experience with GCP and/or Azure data services.
• Proficiency in Power BI and containerization tools (e.g., Docker, Kubernetes).

Experience:

5 years required

Skills:

Spring Boot, Kubernetes, MongoDB, Jenkins, Docker

Job type:

Full-time

• In 2017, we served over 30 million customers in 6 countries (Thailand, Cambodia, Myanmar, Vietnam, Indonesia, Philippines), and processed over 4.5 billion USD. This makes us by far the largest fintech company in SE Asia, and growing quickly.
• As a member of our esteemed Engineering team, you will be helping to bring this vision to reality by leveraging the most modern cloud-native technologies. At Ascend, you will be part of a team who are directly responsible for improving the lives of millions.
• Lead an agile team of 15-25 engineers to build / develop features and technologies across various aspects of the Java stack, primarily focused on Spring Boot and Spring Cloud / NetflixOSS.
• Possess an understanding of CI/CD deployments on a Kubernetes based platform, both on premises and on a multi-cloud infrastructure. (AWS and GCP).
• Possess an understanding of cloud-native architectures, and be familiar with implementations involving service discovery, circuit breakers, client side load balancing, and other architectural patterns related to elastic infrastructure.
• Establish the development team responsible for creating a company culture which attracts, retains, and coaches other engineers. The primary deliverable of an engineering manager is more senior engineers.
• Conduct design and code reviews.
• Provide specific technology expertise to help drive innovation.
• Identify emerging technologies to create leading edge banking products.
• Partnering with architects and platform engineers to build strategies for execution, drive and facilitate key decisions, and influence others and lead change where appropriate.
• Breaking down product requirements into tickets.
• Facilitating estimates on new product requirements.
• Making sure developer's ticket queues of tickets are full and developers are writing code every day.
• Essential Skills & Prerequisites.
• A positive, can-do attitude, who naturally expresses a high degree of empathy to others.
• Bachelor's Degree in Computer Science or equivalent work experience. We are more interested in passion for technology and what you are capable of, than we are academic qualification.
• 10 or more years of relevant work experience.
• Experience in building mission critical applications from scratch, and decomposing monolithic applications into smaller services.
• Core Java 8,9, Spring Boot, Spring Cloud, NetflixOSS.
• JVM Debugging and Profiling.
• Git Source Control.
• React.
• Kubernetes (or equivalent).
• MySQL, PostgreSQL, EnterpriseDB, NoSQL (Cassandra, MongoDB, ELK).
• RabbitMQ, Kafka.
• AWS & GCP.
• CI/CD (E.G. Fabric8, GitLab or Jenkins).
• Experience with distributed architectures, SOA, microservices and Platform-as-a-Service (PaaS).
• Experience with Agile and Test Driven Development (TDD) methodologies.
• Familiarity with containers and their technologies such as Docker.
• Familiarity with container orchestration technologies such as Mesos and Kubernetes.
• Experience with high availability, high-scale, and performance systems.