MakroPRO, the digital venture by Makro (CP Axtra), is hiring a DevOps Engineer in Bangkok to support its B2B e-commerce platform serving restaurants, hotels, and retailers. The role focuses on increasing delivery speed, improving code quality and security, and optimizing developer experience through automation, CI/CD pipelines, and infrastructure-as-code across multiple cloud providers. The engineer will collaborate with Tech Leads and developers to build automation pipelines, develop self-serve tools for the SDLC, configure IaaS/PaaS infrastructure, deploy application artifacts, monitor infrastructure health, and identify process bottlenecks. Candidates need scripting skills (Python, Bash, Perl), experience with large-scale cloud-based container platforms, deployment automation tools (Terraform, Puppet, Chef, Ansible), AWS, Kubernetes, CI/CD tools (GitlabCI, Jenkins, Git, Sonar), and Agile methodologies.
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Capco, a Wipro company, is hiring a Senior Data Engineer to support BankX's digital banking platform. The role focuses on designing, building, and maintaining scalable data pipelines and infrastructure for analytics, AI/ML, and business intelligence use cases. Responsibilities include building ETL/ELT workflows, implementing Lakehouse architecture with Azure Data Services, Databricks, and Delta Lake, ensuring data quality and governance, and collaborating with Data Architects, Data Scientists, and Analysts. Candidates need 5+ years of data engineering experience, strong SQL and Python skills, hands-on Azure/Databricks/Delta Lake experience, and intermediate Thai and English proficiency.
Trustonic is hiring a Technical Support Engineer to join its global product organisation, resolving complex technical issues across production and non-production environments and owning customer cases from a global support queue. The role collaborates cross-functionally with engineering, product, and support teams, applies Knowledge-Centred Support (KCS) methodology, authors knowledge base articles, contributes to product testing, and improves customer-facing documentation in Wiki and Zendesk. Candidates should have demonstrable technical support experience, fluent English, and working knowledge of SQL databases, Linux (SSH keys and certificates), Git, APIs, basic BASH or Python scripting, and AWS. Experience with JIRA and Zendesk, exposure to mobile technologies, and a Bachelor's degree or equivalent are preferred. The position is full-time and remote.
Kyndryl is hiring an Infrastructure Automation Engineer for its Thailand team to drive operational excellence through enterprise automation and platform modernization. The role focuses on designing automation playbooks, developing solutions on Red Hat Ansible Automation Platform, and automating infrastructure, OS, middleware, and cloud processes while partnering with engineering and operations teams. The position requires 5+ years of infrastructure, automation, DevOps, or platform engineering experience, hands-on work with Ansible Automation Platform and Playbooks, knowledge of Linux and Windows server environments, scripting in Python, Shell, or PowerShell, and familiarity with Git and version control. Preferred qualifications include Azure or AWS experience, ITIL knowledge, and CI/CD exposure.
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.
UOB (Thai) Public Company Limited is hiring a Data Analytics Manager for its Bangkok City Area operations. The role involves collaborating with stakeholders to translate business needs into technical specifications, designing and developing scripts on HUE Cloudera, and conducting UAT and production deployment. Responsibilities include collecting and analyzing large datasets using Power BI, Hue, Impala, and Hive, building dashboards, designing data models and algorithms, performing data integrity audits, and maintaining SQL queries and Power BI dashboards to support management decision-making. The position requires a Bachelor's or higher degree in Data Science, Computer Science, Statistics, or a related field, plus at least 5 years of banking sector experience. Candidates must be proficient in SQL, Python, R, Excel, and Power BI, with strong analytical, communication, and collaboration skills, and fluency in written and spoken English.
Data Analyst role within the Data Analytics team of the Investment Solutions Department at Kiatnakin Phatra Securities Public Company Limited, a leading onshore wealth manager. The position supports wealth management by collecting and interpreting data, designing the data environment, generating insights for management decisions, preparing reports and presentations, and acting as a data steward. The role collaborates with other departments and external vendors to define requirements and ensure delivered solutions meet business needs. The role requires a Bachelor's or Master's degree in Computer Science, Computer Engineering, Applied Statistics, or a related field, with 3-5 years of experience as a data or business analyst. Candidates should have experience with large data sets and relational databases, knowledge of data visualization tools such as Power BI or Tableau, and working knowledge of programming languages such as SQL, Python, R, or Java.
Data Analyst role within the Data Analytics team of the Investment Solutions Department at Kiatnakin Phatra Securities, supporting wealth management with over 600 billion baht in client assets under advisory. The position collects and interprets statistical information, designs the data environment, and produces reports and presentations to help management make decisions, while acting as a data steward and coordinating with other departments on reporting and solution requirements. The role requires a Bachelor's or Master's degree in Computer Science, Computer Engineering, Applied Statistics, or a related field, plus 3-5 years of experience as a data or business analyst. Candidates should have experience with large data sets and relational databases, familiarity with data visualization tools such as Power BI or Tableau, and working knowledge of programming languages such as SQL, Python, R, or Java.
The Analytics role sits within the Digital & Technology division of KKP (Kiatnakin Phatra Bank) in Bangkok. The position focuses on identifying customer acquisition opportunities, optimizing lead generation, and developing cross-sell/upsell strategies through data-driven insights. Responsibilities include campaign performance analysis, A/B testing, dashboard development, regulatory reporting automation, datamart design, and translating business challenges into analytical solutions. Candidates should have 0 to 3 years of experience in Business Intelligence or Data Analytics, preferably within marketing or customer acquisition. Required skills include Python, PySpark, and SQL for large-scale data processing, along with hands-on experience in A/B testing, campaign optimization, dashboard tools (Power BI, Tableau, Databricks), and datamart deployment. A solid understanding of the financial industry is expected.
Data Analyst role at Kiatnakin Phatra Bank Public Company Limited (kkp) in Bangkok, within the Digital & Technology division. The position focuses on identifying customer acquisition opportunities, analyzing campaign performance, designing A/B tests, building dashboards, automating regulatory reports, and deploying datamarts to support marketing and sales teams. Candidates should have 0-3 years of experience in BI or data analytics, proficiency in Python, PySpark, and SQL, and hands-on experience with marketing analytics, dashboard tools, and datamart deployment. Strong analytical, communication, and cross-functional collaboration skills are required, along with familiarity with the financial industry.