Senior Software Engineer collaborating with Computational Structural Engineers to develop automation tools for Engineering Design using various Python libraries.
About the role
- Principal Software Engineer processing satellite data at Array Labs to create a high-resolution 3D digital twin of the Earth. Collaborating with cross-functional teams on a vertically-integrated system.
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.
Requirements
- 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) 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.
Benefits
- Competitive pay
- High flexibility between salary and equity-based compensation
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