Manatal is an HRTech software service (B2B SaaS) company headquartered in Bangkok, Thailand. Manatal is one of the fastest-growing start-ups in the region and is backed by Surge and Sequoia Capital. Manatal has a global presence
Job purpose We are seeking a Software Engineer who specializes in Backend to join our growing team of technical experts where you will build and deliver our large-scale systems that helps our clients to accelerate their
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, youll work closely with customers to design, implement, and manage AWS solutions
About the role: We are looking for a passionate and detail-oriented Data Analyst to join our Catalog Solutions team. In this role, you’ll dive deep into complex datasets, uncover insights, and turn them into actionable business
Company Description AFRY is one of the largest international power sector consulting and engineering companies with about 19,000 experts working across the world to create sustainable solutions for future generations. In Southeast Asia, we are a
Who We Are VML, part of WPP, is a leading creative company that combines brand experience, customer experience, and commerce, creating connected brands to drive growth. VML is celebrated for its innovative and human first, award-winning
Data Center Operations designs, installs & maintains the world’s largest Cloud Computing Infrastructure. We are looking for skilled Data Center Linux & Hardware Engineers with a passion for technology to help us expand our Cloud to
Background: UN Women, grounded in the vision of equality enshrined in the Charter of the United Nations, works for the elimination of discrimination against women and girls; the empowerment of women; and the achievement of equality
Role Objective The team works on keeping map data accurate and updated based on real-world changes. The work includes reviewing issues submitted by map users and testing location results shown in web search and map platforms. The
As a Data Engineer at Cube Asia, you will use various methods to transform raw data into useful data systems. You’ll strive for efficiency by aligning data systems with business goals. To succeed in this position,
The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles,
About LEARN Corporation & Code Genius LEARN Corporation is Thailands leader in lifelong-learning EdTech. Guided by our conviction that “learning opportunities can improve ones quality of life,” we harness technology to design engaging, age-inclusive learning experiences
As a Data Engineer at Data Wow, you will work closely with Data Scientists and Data Analysts to create data pipelines. You will get to work with data warehouse technologies as well as data ingestion tools.
As a Data Engineer in the Data Collection Team at Cube, you will leverage various methods to transform raw data into reliable and scalable data systems. You will focus on improving efficiency by aligning data architecture
About LEARN Corporation & Code Genius LEARN Corporation is Thailands leader in lifelong-learning EdTech. Guided by our conviction that “learning opportunities can improve ones quality of life,” we harness technology to design engaging, age-inclusive learning experiences
Responsibilities Perform manual functional, integration, regression, and API testing (e.g., using Postman) across web and mobile applications, while driving the transition toward test automation. Plan, design, and execute manual test planning and testing strategies for complex software
Responsibilities Drive QA strategy, test planning, and execution for complex software solutions across multiple platforms. Lead the design, development, and maintenance of automated test scripts using Robot Framework, and other relevant tools. Write and review scalable
As a Data Engineer at Cube Asia, you will use various methods to transform raw data into useful data systems. You’ll strive for efficiency by aligning data systems with business goals. To succeed in this position,