About Us:

We are a cutting-edge startup developing a satellite imagery analysis platform aimed at transforming the agriculture, commodity trading, and insurance sectors. By leveraging real-time satellite data and machine learning models, we provide predictive insights that help businesses make informed decisions regarding crop health, yield forecasts, and risk management.

We are looking for a Backend Software Engineer who will be instrumental in building and maintaining the infrastructure that powers our platform. You will play a critical role in ensuring the seamless collection, processing, and analysis of geospatial data from satellite imagery and related data sources.

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Responsibilities:

As a Backend Software Engineer, you will develop and maintain the infrastructure that processes and delivers satellite data and predictive analytics to our clients. Specific responsibilities include:

• Design, develop, and maintain scalable, high-performance backend services and APIs to support the real-time analysis of satellite imagery.
• Integrate satellite data sources (e.g., Sentinel-2, Landsat, commercial satellites) and ensure efficient storage, retrieval, and processing of large geospatial datasets.
• Collaborate with frontend developers, data scientists, and GIS specialists to ensure that data flows seamlessly through the system and is available for visualization and analysis.
• Implement robust data pipelines for processing, cleaning, and aggregating satellite imagery and associated metadata, ensuring high availability and performance.
• Ensure backend services are reliable, secure, and scalable, particularly for handling large volumes of real-time satellite data.
• Optimize performance of backend services and databases to handle increasing data load and concurrent user demands.
• Participate in code reviews, debugging, and troubleshooting to ensure high-quality and reliable backend systems.
• Stay up-to-date with emerging technologies and best practices in backend development, cloud computing, and geospatial data management.

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Requirements:

• 3+ years of experience in backend development with expertise in Python, Node.js, Java, or Go.
• Experience building RESTful APIs and working with microservices architecture.
• Strong knowledge of databases (both relational and NoSQL), such as PostgreSQL, MongoDB, or Elasticsearch.
• Familiarity with cloud infrastructure (AWS, Google Cloud, or Azure) and services such as S3, Lambda, and EC2 for handling large datasets and real-time data processing.
• Experience with geospatial data processing and storage, ideally using tools like PostGIS, GDAL, or Geoserver.
• Ability to design and maintain data pipelines that process large amounts of satellite imagery, incorporating ETL processes and automation workflows.
• Experience with containerization technologies (e.g., Docker, Kubernetes) for deploying and managing scalable applications.
• Knowledge of data security best practices, including encryption, secure APIs, and data access controls.
• Bonus: Experience with machine learning pipelines and data processing frameworks (e.g., Apache Spark, Dask, or Hadoop) for handling large datasets.
• Strong problem-solving skills and ability to work independently in a remote, fast-paced environment.

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Benefits:

• Competitive salary with flexible, remote working opportunities.
• Be part of a mission-driven startup that is revolutionizing the use of satellite imagery in agriculture, commodities, and insurance.
• Collaborate with a global team of experienced developers, data scientists, and GIS experts.
• Access to cutting-edge technologies and tools in the fields of satellite data, AI, and cloud computing.
• Opportunities for professional growth within a fast-growing tech company.

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How to Apply:

Please submit your resume, GitHub profile, and a cover letter explaining why you’re a good fit for this role. Be sure to include examples of your work, particularly those related to backend systems, geospatial data processing, or cloud infrastructure.

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We are committed to building a diverse and inclusive team and welcome applicants from all backgrounds. Join us in shaping the future of satellite imagery and geospatial analytics!