Remote Full-Stack Developer for Energy Analytics

Acelerex; Santiago; Híbrido; CLP 15.000.000 - 27.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Remote work options

Career growth opportunities

International team

Descripción de la vacante

Acelerex is a consulting and software company in the electrical sector, delivering analytics, data services, and SCADA/EMS solutions to energy markets worldwide. We seek a mathematically minded full-stack developer to design and improve our Analytics platform, using optimization routines to evaluate revenue strategies for renewables and storage.

The role covers frontend/backend coordination, security practices, and performance tuning for large datasets.

Formación

• Experience: 1-4 years in programming, whether that’s in mathematical modeling, web development, data science.
• Bachelor’s degree in Computer Engineering and/or additional qualifications.

Responsabilidades

• Translate mathematical models into code for simulation engines.
• Develop logic for economic dispatch and unit commitment to model real-world behavior of renewable energy and storage assets.
• Do more common full-stack engineering work, including coordinating frontend and backend data, organizing the frontend interfaces with charts, electrical generation system diagrams, looking after the application’s security practices, etc.
• Performance Optimizations: Refine code to handle large datasets and computationally intensive tasks involved in nodal pricing and network modeling.
• Leveraging AI for efficiency and automation of tasks

Conocimientos

Vue/React

English communication

PostgreSQL

Backend development

Educación

Bachelor's in Computer Engineering

Herramientas

Backend web framework

Descripción del empleo

Acelerex is a consulting and software company in the electrical sector, delivering analytics, data services, and SCADA/EMS solutions to energy markets worldwide. We seek a mathematically minded full-stack developer to design and improve our Analytics platform, using optimization routines to evaluate revenue strategies for renewables and storage.

The role covers frontend/backend coordination, security practices, and performance tuning for large datasets.