Staff Software Engineer - Data Infrastructure

Responsibilities

• Design and implement scalable distributed systems for processing and analyzing massive datasets from our satellite constellation.
• Develop and optimize database schemas and storage solutions for managing petabyte-scale 3D geospatial data.
• Architect and maintain high-performance APIs and services for efficient geospatial data streaming, querying, and analysis.
• Lead the design and implementation of mechanisms for handling data ingestion, processing, and delivery pipelines.
• Implement robust monitoring, logging, and operational systems to ensure reliability and performance of backend services.
• Work with cross-functional teams to define technical requirements, architect solutions, and drive the backend roadmap in alignment with company goals.

Basic Qualifications

• 6+ years of backend software engineering experience, including 4+ years building distributed systems and scalable APIs.
• Strong proficiency in backend languages (e.g., Python, C++, Java), experience with cloud platforms (AWS, GCP, Azure, Terraform) and containerization technologies (e.g. Docker, Kubernetes).
• Deep understanding of distributed systems and cloud-native development practices.
• Experience with high-performance computing and optimization of large-scale data processing pipelines.
• Excellent communicator, with the ability to make high-quality technical decisions in a startup environment.

Preferred Skills & Experience

• Experience building geospatial databases, mapping technologies, and/or 3D visualizations, including relevant front-end techniques.
• Familiarity with geospatial concepts, remote sensing, 3D data, and/or digital signal processing techniques (e.g. SAR and optical satellite imagery, geospatial databases, LiDAR point clouds).