This role involves architecting and leading the deployment of AI-based applications and large language models (LLMs) across operational workflows. The specialist manages the full lifecycle of AI model integration, wrapping machine learning models into scalable APIs and integrating them into full-stack production systems. Responsibilities include designing automated CI/CD pipelines, managing infrastructure using Linux and containerization (Docker, Kubernetes), and implementing telemetry to monitor model performance and optimize systems to meet SLAs. The position requires collaborating with Data Scientists to transition models into production-ready code and with product teams to identify AI integration opportunities.
This role involves prioritizing and planning AI and automation projects, translating business objectives into technical solutions, and independently assessing feasibility. The developer will build and maintain automation workflows using tools like n8n and Python, write SQL queries for data extraction, and ensure solutions are reliable and documented. The position requires working directly with business users to gather requirements and acting as a bridge between technical delivery and business adoption. Key qualifications include workflow automation experience with n8n, Python scripting proficiency, SQL skills, strong analytical thinking, and the ability to communicate technical concepts clearly in Thai and English.
This role is part of the Developer Efficiency team within the DevOps group. The Software Developer will build and improve software that helps Agoda engineers review code, automate repetitive work, and deliver changes more efficiently. Key responsibilities include developing backend services, APIs, webhook integrations, and automation using modern programming languages like Go or Python. The position involves integrating AI/LLM capabilities into developer tools, writing unit and integration tests, and participating in code reviews. The role requires a practical, collaborative mindset and a willingness to learn DevOps practices such as containers, CI/CD, and observability.
About the role
We are looking for a talented and motivated DevOps Engineer to join our team. In this role, you will be responsible for managing and optimizing our continuous integration and continuous deployment (CI/CD) processes, ensuring seamless software delivery and infrastructure management. You will collaborate with cross-functional teams to enhance our development and deployment processes, contributing to the overall efficiency and effectiveness of our software development lifecycle.
Job Description
* Infrastructure as Code: Design, implement, and maintain infrastructure using tools like Terraform, CloudFormation, or Ansible to manage cloud and on-premises resources.
* CI/CD Pipelines: Develop, manage, and improve CI/CD pipelines using tools such as Jenkins, GitLab CI to ensure reliable and efficient software delivery.
* Automation and Orchestration: Automate repetitive tasks and streamline workflows using scripting languages like Python, Bash, or PowerShell.
* Monitoring and Logging: Implement monitoring and logging solutions to ensure system health and performance, using tools like Prometheus, Telegraf, Grafana, ELK Stack.
* Collaboration: Work closely with development, QA, and operations teams to ensure smooth software releases and effective communication.
* Security: Integrate security practices into the DevOps processes, including vulnerability assessments, access control, and compliance with industry standards.
* Incident Management: Troubleshoot and resolve issues related to application and infrastructure performance, ensuring high availability and reliability.
* Cloud Services Management: Manage and optimize cloud services (e.g., AWS, Google Cloud) for performance, cost, and scalability.
* Documentation: Maintain clear and comprehensive documentation for processes, systems, and procedures.
Qaulifications
* Education: Bachelor’s degree in computer science, Engineering, or a related field, or equivalent practical experience.
* Experience: [Specify years of experience] years of experience in a DevOps or related role.
* Proficiency in scripting languages (e.g., Python, Bash, Powershell).
* Experience with infrastructure as code tools (e.g., Terraform, CloudFormation).
* Knowledge of CI/CD tools (e.g., Jenkins, GitLab CI).
* Familiarity with containerization and orchestration (e.g., Docker, Kubernetes).
* Strong understanding of cloud platforms (e.g., AWS, GCP).
* Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK).
* Understanding of security best practices and tools.
Preferred
* Experience with serverless architectures and microservices.
* Experience in a fast-paced, agile development environment.
* Knowledge of network and security configurations in cloud environments.
* Strong problem-solving skills.
* Excellent communication and collaboration abilities.
* Ability to work independently and in a team.
* Certifications: e.g., AWS Certified DevOps Engineer, Google Professional DevOps Engineer are a plus.
Makro PRO, the digital B2B e-commerce venture of Makro in Thailand, is hiring an AI Engineer to build production-grade machine learning systems that improve search and recommendation experiences for its platform users. The role involves researching and developing deep learning models, building Thai language NLP solutions, training models on GPU infrastructure, integrating models into Python and Node.js backends via REST APIs, and deploying scalable ML pipelines in collaboration with data and backend engineers.
Candidates should hold a Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field, with proven experience as an ML, Deep Learning, or Applied ML Engineer, ideally in search, ranking, or recommendation systems. Required skills include Python, SQL, TensorFlow or PyTorch, knowledge of CNNs, RNNs, Transformers, Siamese networks, XGBoost, and Learning to Rank, plus backend experience with FastAPI, Flask, or Node.js, and familiarity with Git, AWS, Docker, and CI/CD pipelines.
LSEG is hiring a Senior Lead QA Engineer for its FX vertical in Bangkok to lead the PriceStream QA team. The role owns the test strategy and quality roadmap for FX pricing and rate-streaming systems on a multi-dealer platform, driving end-to-end testing delivery, automation framework architecture, FIX protocol testing, performance testing, and production RCA. The position combines hands-on automation work with technical leadership, mentoring, and cross-functional collaboration in an Agile environment.
The ideal candidate has 8+ years of QA automation experience including team or technical leadership, deep hands-on expertise with Java, Selenium, Playwright, Cucumber-JVM, SQL, Maven, FIX protocol testing, AWS, Docker, Kubernetes, and AI-assisted engineering tools. Experience in FX trading or financial technology is preferred.
Hitachi Digital Services is hiring a Fullstack (FE/BE) developer in Bangkok, Thailand, within the Cloud & Data Engineering function. The role involves developing application profiles across frontend and backend stacks, building RESTful APIs, and working with container and CI/CD tooling.
The frontend uses Next.js 14, Angular, TypeScript, SCSS Modules with BEM, Zustand for state management, and Jest for testing, with React Native for Android. The backend uses Spring Boot on Java 21 with Mockito for testing. Candidates should have experience with RESTful APIs, AWS services, Docker/Kubernetes, and CI/CD tools such as Jenkins, GitLabCI, and ArgoCD, plus Helm for deployment configuration.
Agoda is hiring a Senior/Staff MLOps Engineer to join its ML and AI Platform team in Bangkok, with relocation provided. The role focuses on designing, developing, and operating on-premises MLOps infrastructure built on self-managed Kubernetes and Kubeflow, supporting machine learning model delivery across the organization.
Responsibilities include building scalable data pipelines, model training and deployment systems, monitoring tools, and collaborating with data scientists and software engineers. The role also involves mentoring junior team members, troubleshooting user issues, and staying current with MLOps trends. Candidates need 5+ years of relevant experience, strong programming skills, and hands-on Kubernetes expertise.
Kyndryl is hiring an Automation Platform Engineer in Bangkok to operate, manage, and optimize scalable, resilient, and secure Technology Automation Platforms. Responsibilities include building and supporting hybrid infrastructure across on-premises and cloud, designing Infrastructure-as-Code solutions with CI/CD pipelines, automating provisioning, configuration, monitoring, patching, and security controls, and supporting release management and production deployments. The role also covers incident investigation, root cause analysis, and implementing monitoring, observability, and logging solutions.
Candidates need at least 2 years of experience in Linux/Windows administration, middleware, cloud infrastructure, DevOps, container platforms, or infrastructure automation, plus hands-on experience with listed technologies such as AWS, Terraform, Ansible, ArgoCD, Kafka, MongoDB, PostgreSQL, Redis, Elasticsearch, Loki, OpenTelemetry, HashiCorp Vault, and Apache Tomcat. Fluent Thai and English communication skills are required, with BFSI and Kubernetes/OpenShift experience preferred.
Kyndryl is hiring a Technology Platform Engineer (internal title: Software Engineering Technical Specialist) in Bangkok to design, develop, operate, and continuously improve Technology Automation Platforms supporting critical enterprise workloads. Responsibilities include hybrid infrastructure engineering, Infrastructure-as-Code, CI/CD pipelines, platform reliability, monitoring/observability, incident resolution, and partnering with development, security, architecture, and operations teams on modernization and cloud transformation.
The role requires at least 4 years of experience in platform engineering, system administration, DevOps, cloud, or container platforms, plus 3+ years of hands-on work with listed technologies such as AWS, Terraform, Ansible, Kubernetes/Docker, and databases including MongoDB, PostgreSQL, Redis, Kafka, and Elasticsearch. Strong scripting in Bash, PowerShell, Python, and Ansible Playbooks is required, along with Thai and English communication skills.
