Makro Pro is looking for a Senior Data Engineer to design, implement, and maintain data infrastructure and pipelines. The role involves collaborating with data scientists and analysts to ensure efficient data processing and storage solutions. Key duties include developing scalable data pipelines and ETL processes, optimizing data storage solutions like data warehouses and lakes, and ensuring data quality and consistency. The candidate will also provide technical leadership by mentoring junior engineers and integrating new data technologies.
Sertis, a Bangkok-based Data and AI engineering and solutions company and member firm of Andersen Consulting, is hiring an Enterprise Architect on a fixed-term contract. The role defines and leads architecture direction for large-scale retail and enterprise platforms, translating business strategy into target-state architecture and technology roadmaps.
Duties include defining enterprise architecture vision and multi-year roadmaps, developing business capability maps, establishing architecture standards and reference architectures, leading the architecture review board, overseeing application and technology portfolio rationalization, defining policies for technology adoption, integration, security and compliance, guiding solution architects, and evaluating emerging technologies such as cloud-native, event-driven, and API-led architectures. Applicants need 8+ years in technology with 3-5 years in enterprise or senior solution architecture, TOGAF familiarity, cloud platform knowledge, and executive communication skills. Thai citizens only.
Youtap Limited, a global fintech and software company providing white-label digital banking, payments, wallet, and merchant commerce platforms, is hiring a Full Stack, Backend Java Developer in Bangkok. The role focuses on building backend foundations for business-critical digital payments and financial services platforms.
The developer will build and maintain scalable backend services with Java and Spring Boot, design and integrate RESTful APIs, collaborate with frontend, product, and QA teams, optimize database queries and application performance for high-traffic systems, and write clean, tested code while participating in code reviews. Candidates need 5+ years of backend Java/Spring Boot experience, REST API, SQL, and microservices skills, hands-on React, Flutter, and JavaScript experience, cloud and DevOps exposure (AWS/Azure, Docker, Kubernetes, CI/CD), and eligibility to work in Thailand.
This role involves working as a senior member of an Agile/Scrum development team to meet sprint commitments and improve processes. The position requires designing, developing, and delivering complex software features while ensuring code quality through testing. The engineer will solve challenging problems across multiple platforms to improve performance and scalability. Responsibilities include analyzing business requirements, taking ownership of technical components, and collaborating with cross-functional teams. The role also involves contributing to architectural discussions and providing mentorship to other engineers.
New Relic seeks a Senior Solutions Consultant to establish its observability platform presence in Thailand. The role involves leading technical presales engagements, partnering with Account Executives to drive new business, and building trusted relationships with customers. The candidate will deliver product demonstrations and Proof of Value workshops while evangelizing New Relic's capabilities. This remote-first position requires deep technical expertise and presales acumen to help customers eliminate digital disruptions.
Agoda is hiring a Lead Application Security Engineer to join its Security Department in Bangkok, Thailand, supporting security, compliance, and security operations across the company. The role sits in a fast-paced DevSecOps environment and focuses on integrating security testing into continuous deployment and integration flows, while performing design reviews, code review, and remediation at scale.
The position requires strong software engineering foundations with at least 7 years of technical experience across areas such as threat modeling, secure coding, authentication, and network security, plus hands-on cloud and SDLC experience. Candidates are expected to work with microservices, web, and mobile platforms across on-premise and public cloud data centers.
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 providing end-to-end advisory and overlaying industry insights to formulate technology-enabled solutions for clients. Responsibilities include managing assessment and business requirements gathering, reviewing functional specifications, supporting prototyping and architecture redesign, and engaging clients in workshops. The position requires developing trusted client relationships, ensuring quality assurance, and coaching project teams to maintain operational excellence. The consultant will meet clients regularly to define problem statements and develop responses to enquiries.
The AI Expert (LLMs & Generative AI) is responsible for designing, developing, and scaling AI solutions that leverage Large Language Models (LLMs), Generative AI, and modern AI platforms to solve business challenges and create measurable value. This role works closely with business stakeholders, AI Business Partners, data engineers, and solution architects to translate requirements into production-ready AI applications, including copilots, intelligent assistants, agentic workflows, knowledge management solutions, and process automation use cases. The AI Expert evaluates emerging AI technologies, establishes technical best practices, ensures responsible AI implementation, and drives the adoption of scalable AI architectures aligned with enterprise standards, security requirements, and governance frameworks.
Qualification:
* Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field, with 5+ years of experience in software development, machine learning, data science, or AI engineering.
* Strong expertise in Large Language Models (LLMs), Generative AI, prompt engineering, Retrieval-Augmented Generation (RAG), vector databases, AI agents, and model orchestration frameworks.
* Hands-on experience with leading AI platforms and cloud services such as Azure AI, Azure OpenAI, Google Vertex AI, AWS Bedrock, or equivalent technologies.
* Proficiency in Python and modern AI development frameworks, with a solid understanding of machine learning concepts, API integrations, MLOps, and enterprise solution architecture.
* Strong analytical, problem-solving, and communication skills, with the ability to explain complex technical concepts to both technical and business audiences.
* Experience implementing responsible AI practices, model evaluation frameworks, and production-grade AI solutions is highly desirable.
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.
