End-to-End Troubleshooting: Perform comprehensive troubleshooting to diagnose and fix issues related to software configuration, performance, and integration.
Identify, analyze, and resolve coding bugs in a timely manner.
Review and update app configurations to ensure optimal performance and compatibility.
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Partner with the Infrastructure team to provision servers and databases, and install, configure, and maintain the software required for application build and deployment.
Design, implement, and maintain CI/CD pipelines to automate build, testing, and deployment activities in accordance with standards and best practices.
Manage and support infrastructure-related activities across development, testing, and production environments, including upgrades, deployments, service restarts, and troubleshooting.
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Lendingpot is a Singapore-based digital loan marketplace that helps SMEs and individuals access and compare financing solutions from a network of financial institutions and lenders. The platform simplifies the loan application process by providing borrowers with multiple financing options through a single application, supported by advisory and guidance throughout the process. Lendingpot is a wholly owned subsidiary of IFS Capital Limited, an SGX-listed financial institution and part of the PhillipCapital Group.
Be part of Lendingpot’s development team and gain hands-on experience building digital lending products across multiple markets. You’ll work with modern web technologies while developing your product thinking.
Lead the end-to-end architecture, design and development of embedded software, firmware and application-level solutions for complex, high-performance products.
Define scalable, secure and maintainable software architectures, system interfaces and integration strategies across hardware and software platforms.
Design and develop embedded Linux solutions, including OS customization, kernel configuration, Yocto/ PetaLinux, firmware and application software.
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Develop, integrate, and fine-tune robot foundation models for perception, mapping, task planning, and embodied decision-making.
Own the development cycle from data collection and model training to physical-robot deployment and validation.
Test and analyze system failures, then improve performance through targeted data collection, model retraining, and iterative validation in both simulation and real-world environments.
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