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Software Developer

Solarvest — Malaysia · Posted ~1 day ago

Mid Full-time

Skills

React JavaScript TypeScript Python Node.js PostgreSQL Git Full-stack development Azure Docker

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Summary

A software development role focused on creating internal platforms, dashboards, and external applications. The position involves full-stack engineering, API development, integrations, and improving software quality practices.

Highlights

Opportunity to build internal tools and customer-facing applications with modern technologies while working on automation, data, and AI-related initiatives.

Description

This role focuses on building and maintaining both internal tools and external-facing applications that support solar EPCC operations, spanning workflow automation and dashboards to customer- and partner-facing platforms. Responsibilities: Build and maintain internal tools and dashboards supporting business operations across departmentsDevelop and support external-facing applications for customers and partnersContribute to backend services, APIs, and UI across internal and external platformsSupport integration work with third-party platforms (e.g. Power Automate, AIoT/O&M systems)Contribute to code quality, testing, code review, and basic security hygiene practices Requirements 3-5 years of professional software development experienceFull-stack proficiency: React/JavaScript/TypeScript on the frontend, Python or Node.js on the backendSQL database experience (PostgreSQL)Git / version controlBachelor's degree in Computer Science, Software Engineering, or equivalent practical experienceAwareness of application security and data privacy practices (e.g. PDPA), particularly for external-facing systemsStrong communication, collaboration, and problem-solving skills Nice to have: Azure or other cloud platform experiencePower Automate or similar low-code workflow toolsDockerNeo4jExperience with UI/UX best practices for customer-facing applicationsFamiliarity with CI/CD pipelines and automated testingExperience with Data Ingestion pipeline such as Pandas and PysparkExperience with AI/ML frameworks such as Pytorch, Tensorflow, Scikit-LearnExperience with Inference engine such as Vllm