Software Engineer

We are looking for a motivated Junior Software Engineer to join our technology team. You will work on building and maintaining backend systems and data-driven applications that support our field operations, monitoring systems, and internal tools. This is a great opportunity for someone early in their career who wants to grow their skills in backend development, data engineering, and applied technology, with exposure to real-world agricultural, GIS, and AI-driven projects.

What You'll Do

• Design, build, and maintain backend applications and APIs using Python and Django
• Write clean, well-documented, and testable code
• Work with relational databases (PostgreSQL/MySQL) to design schemas and optimize queries
• Integrate third-party APIs and internal data pipelines
• Collaborate with the IT Manager and cross-functional teams to translate requirements into working features
• Debug, troubleshoot, and resolve issues in existing systems
• Participate in code reviews and contribute to improving development practices
• Support deployment and basic maintenance of applications on servers (Linux environment)
• Document technical processes and system designs

• Diploma or Bachelor's degree in Computer Science, Software Engineering, Geomatic Engineering, Information Technology, or a related field
• Solid working knowledge of Python
• Practical experience with the Django framework (personal projects, internships, or coursework are acceptable)
• Working knowledge of GIS (Geographic Information Systems) and Remote Sensing  e.g., spatial data analysis, QGIS, GeoServer, PostGIS, satellite/drone imagery processing
• Understanding of relational databases and SQL
• Familiarity with version control (Git/GitHub)
• Basic understanding of REST APIs
• Strong problem-solving skills and willingness to learn
• Good communication skills and ability to work in a team

Added Advantage

• Exposure to AI/Machine Learning concepts or tools (e.g., using AI APIs, basic model training, prompt engineering, or working with libraries like scikit-learn, TensorFlow, or PyTorch)
• Experience with mapping/spatial libraries (Leaflet, Mapbox, GDAL) or orthomosaic/drone imagery analysis (e.g., crop detection, NDVI/NDRE processing)
• Experience with data processing tools such as Pandas or openpyxl
• Familiarity with cloud platforms (AWS, OVH, or similar) and basic DevOps practices
• Experience with IoT systems or hardware integration