About the Job
As Staff Software Engineer for data infrastructure, you will play a crucial role in designing and implementing the systems that process, analyze, and serve our satellite constellation's data to end-users. You will have the opportunity to shape highly reliable backend infrastructure that handles petabytes of data annually. The position will work closely with frontend engineers, scientists, satellite systems engineers, and the product team.

As part of our quickly growing engineering team, you will play a critical role in the design of the world's most advanced radar satellite constellation-one that will significantly improve humanity's ability to rapidly and comprehensively understand our changing planet.

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).

$150,000 - $300,000 a year

Compensation & Benefits

Our hiring and compensation strategy is simple: find uncommonly good people and pay them uncommonly well.

We offer high flexibility between salary and equity-based compensation. Final candidates can choose from three compensation mixes: low, medium, or high equity. Equity is a significant component of total compensation, and we aim to provide meaningful ownership for this role.

Full-time employees also enjoy a comprehensive benefits package including health, dental, vision, a 401(k) with company match, commuter benefits, and more.

Interview Process

We will conduct interviews via Google Meet with the potential for an onsite visit; the typical process takes around 3-5 weeks to complete from start to finish.