Amini is the single source of truth for African environmental data. By enabling Africa to transform the world, by empowering our ecosystem through data & fostering opportunities for 1B lives. Amini is a fast-growing start-up building environmental data infrastructure for Africa and the tropical belt.

The role:

We are seeking a highly skilled and motivated Backend Engineer to join our engineering team. The successful candidate will be responsible for developing and maintaining scalable and robust backend services, leveraging AWS cloud infrastructure. You will work closely with our product and data science teams to implement machine learning models into our product offerings and ensure high performance and responsiveness of our applications.

The type of work you will be doing:

• Design, develop, and maintain efficient, reusable, and reliable code using Python and Go
• Build and deploy microservices on AWS cloud infrastructure, utilizing services such as EC2, S3, Lambda, RDS, and DynamoDB
• Collaborate with data scientists to integrate machine learning models into the backend infrastructure, ensuring seamless model deployment and scalability
• Implement robust security and data protection measures
• Participate in the entire application lifecycle, focusing on coding, debugging, and providing support for production systems
• Work closely with frontend developers to integrate user-facing elements with server-side logic.
• Optimize applications for maximum speed and scalability
• Document all development processes, code, and project solutions
• Stay abreast of emerging technologies and industry trends, applying them to operations and activities

 What you will need:

• Bachelor’s or master’s degree in computer science, Engineering, or a related field
• Proven work experience as a Backend Developer or similar role
• Strong programming skills in Python and Go
• Solid understanding of AWS cloud services and experience deploying applications on AWS
• Basic knowledge of machine learning concepts and experience integrating ML models into production environments
• Familiarity with databases (e.g., MySQL, MongoDB), web servers (e.g., Apache, Nginx), and UI/UX design
• Experience with code versioning tools, such as Git
• Excellent problem-solving skills and the ability to work in a team
• Strong communication skills and fluency in English