Solar PV Automation & Platform Engineer

Solarvest; Petaling Jaya; On-site; MYR 70,000 - 100,000; Full time

Job summary

Atlantic Blue Sdn Bhd is seeking a Project Automation & Platforms Engineer to develop, maintain, and improve web-based tools that enhance solar PV preconstruction and engineering workflows. You will work at the intersection of solar engineering and software development, owning full lifecycle from requirements gathering to deployment and support.

The role emphasizes GIS, data processing, AI-assisted document intelligence, and engineering automation, with deployment in Azure and containerised

Qualifications

• Bachelor's degree or equivalent in Electrical Engineering, Renewable Energy Engineering, Mechanical Engineering, Computer Science, or Software Engineering.
• Experience developing and maintaining web-based applications, preferably in an engineering or renewable energy environment.

Responsibilities

• Design, develop, and deploy new features and web-based tools for the preconstruction and engineering teams.
• Gather requirements and convert manual engineering methods into repeatable, automated software workflows.
• Maintain, support, and continuously improve internally developed engineering and preconstruction software systems.
• Integrate preconstruction tools with enterprise systems and external services.

Skills

Python

SQL

FastAPI

RESTful API design

HTML/CSS

Education

Electrical Engineering

Renewable Energy Engineering

Mechanical Engineering

Computer Science

Software Engineering

Tools

Azure

Docker

Git/GitHub

Job description

Atlantic Blue Sdn Bhd is seeking a Project Automation & Platforms Engineer to develop, maintain, and improve web-based tools that enhance solar PV preconstruction and engineering workflows. You will work at the intersection of solar engineering and software development, owning full lifecycle from requirements gathering to deployment and support.

The role emphasizes GIS, data processing, AI-assisted document intelligence, and engineering automation, with deployment in Azure and containerised