Remote Precision Agriculture Systems Developer

Placements24; Durban; Hybrid; ZAR 1,984,000 - 2,976,000; Full time

Benefits offered by this job

Remote work

Stock options

Health coverage

Generous leave

Professional development budget

Home office allowance

Open-source projects involvement

Parental leave

Retirement plan

Job summary

Placements24 is seeking a remote Precision Agriculture Systems Developer to design, develop, and deploy data-driven software for farming, integrating IoT sensors, drones, and farm-management data, and building ML-based analytics for yield, irrigation, and disease detection.

You will own the full software lifecycle, collaborate asynchronously with a global team, and contribute to open-source agricultural projects. The role offers flexible hours, competitive compensation, and stock options.

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or related quantitative field.
• 5+ years of professional software development experience, with a focus on data-intensive applications.
• Proficiency in Python, Java, or C++.
• Experience with cloud platforms (AWS, Azure, GCP) and related services.
• Strong knowledge of SQL/NoSQL databases and data warehousing concepts.
• Experience with data visualization libraries (Matplotlib, Tableau).
• Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Understanding of IoT protocols and technologies.
• Excellent problem-solving and remote collaboration skills.

Responsibilities

• Design, develop, and maintain robust software systems for precision agriculture applications.
• Integrate data from IoT sensors, drones, satellites, and farm-management systems.
• Develop ML models for yield forecasting, disease detection, and irrigation optimization.
• Develop APIs and data connectors for third-party platforms.
• Create dashboards and visualizations for actionable insights.
• Implement clean, well-documented code following best practices.
• Collaborate with domain experts to translate needs into technical requirements.
• Participate in code reviews, testing, and deployment processes.
• Stay current with IoT, AI, ML, and agricultural data science trends.

Skills

Python

Java

C++

Data analysis

Education

Bachelor's or Master's in CS/SE/Data Science

Tools

AWS

Azure

GCP

Matplotlib

Tableau

TensorFlow

PyTorch

Scikit-learn

IoT protocols

Job description

About the Role

Our client, a pioneering agricultural technology firm, is seeking a highly skilled and innovative Remote Precision Agriculture Systems Developer to join their distributed team. This is a fully remote position, offering the flexibility to work from anywhere. You will be instrumental in designing, developing, and implementing advanced software solutions that enable farmers to optimize their operations through data-driven insights. This includes working with IoT devices, sensor networks, data analytics platforms, and AI/ML models to create intelligent systems for crop monitoring, yield prediction, resource management, and automated decision-making. You will collaborate with a global team of engineers, agronomists, and product managers to bring cutting-edge agricultural technologies to market. This role requires a strong background in software development, data science, and a passion for applying technology to solve real-world agricultural challenges. The ideal candidate thrives in a remote-first environment, possesses excellent communication skills, and is adept at working asynchronously with international teams. You will be responsible for the full software development lifecycle, from conception and design to implementation, testing, and deployment. The goal is to empower farmers with tools that increase efficiency, reduce environmental impact, and improve profitability. Contribution to open-source agricultural software projects may also be a component of this role. You will play a key role in shaping the future of smart farming technologies.

Key Responsibilities

• Design, develop, and maintain robust software systems for precision agriculture applications.
• Integrate data from various sources, including IoT sensors, drones, satellites, and farm management systems.
• Develop algorithms for data analysis, pattern recognition, and predictive modeling (e.g., yield forecasting, disease detection).
• Implement machine learning models for optimizing irrigation, fertilization, and pest control.
• Develop APIs and data connectors for seamless integration with third-party platforms.
• Create intuitive user interfaces and dashboards for data visualization and actionable insights.
• Write clean, well-documented, and efficient code following best practices.
• Collaborate with agronomists and domain experts to understand user needs and translate them into technical requirements.
• Participate in code reviews, testing, and deployment processes.
• Stay current with emerging technologies in IoT, AI, ML, and agricultural data science.

Requirements

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related quantitative field.
• 5+ years of professional software development experience, with a significant focus on data-intensive applications.
• Proficiency in programming languages such as Python, Java, or C++.
• Experience with cloud platforms (AWS, Azure, GCP) and associated services.
• Strong knowledge of database systems (SQL, NoSQL) and data warehousing concepts.
• Experience with data visualization libraries and tools (e.g., Matplotlib, Tableau).
• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Understanding of IoT protocols and technologies.
• Excellent problem-solving, analytical, and debugging skills.
• Proven ability to work effectively in a remote, asynchronous, and collaborative environment.
• Strong communication skills, both written and verbal.

Benefits

• Fully remote work arrangement with flexible hours.
• Competitive salary and stock options.
• Comprehensive health, dental, and vision coverage.
• Generous annual leave policy.
• Professional development budget for courses, conferences, and certifications.
• Home office setup allowance.
• Opportunities to work on cutting-edge agricultural technology that impacts global food security.
• Collaborative and innovative team culture.
• Paid parental leave.
• Retirement savings plan.