Senior Backend Engineer

Overview

• Design and implement robust backend systems to support Earth Observation data integration and advanced AI-driven applications.
• Collaborate with cross-functional teams to translate complex requirements into scalable and efficient solutions.
• Architect and maintain APIs ensuring reliability, fault tolerance, and high performance.
• Develop and optimize workflows for geospatial and satellite imagery data processing.
• Contribute to the integration of cutting-edge AI technologies, including LLMs, into production systems.
• Implement MLOps practices to ensure the reliability and scalability of AI-enabled services.
• Focus on operational excellence and secure system design to mitigate real-world failure risks.
• Drive innovation in backend engineering to support the evolving needs of Earth Observation ecosystems.

Key Responsibilities & Duties

• Develop and maintain production-grade backend systems with a focus on reliability and observability.
• Build and optimize REST APIs using Python and relational database modeling techniques.
• Implement geospatial data workflows using tools like PostGIS and GDAL/rasterio.
• Integrate AI technologies, including vector search systems, into backend services.
• Collaborate with product teams to deliver customer-focused solutions aligned with business goals.
• Ensure cloud-based services are scalable, secure, and cost-efficient.
• Participate in code reviews, testing, and CI/CD pipeline development to uphold engineering best practices.
• Contribute to the advancement of Earth Observation and satellite imagery technologies.

Job Requirements

• Bachelor's degree in Computer Science, Engineering, or a related STEM field.
• Minimum of 5 years of experience in backend system development and operational excellence.
• Proficiency in Python and relational databases, particularly Postgres.
• Experience with geospatial tools such as PostGIS and GDAL/rasterio.
• Knowledge of vector search systems and workflow orchestration tools.
• Familiarity with cloud platforms and MLOps practices for AI integration.
• Strong commitment to clean code practices and engineering excellence.
• Interest in Earth Observation and satellite imagery ecosystems.