A
Array Labs
Staff Software Engineer (Data Infrastructure)
Skills
Google Cloud PlatformDockerPythonJavaAWSKubernetesTerraformAzure
2 months ago
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Important information
Contract type:
Permanent
Salary:
$150,000 – $300,000 / year
Location:
Redwood City, CA, USA
Work mode:
Onsite
Published on:
24 August 2026
What they need
- 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
- 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- Excellent communicator, with the ability to make high-quality technical decisions in a startup environment
- 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)
- Experience with high-performance computing and optimization of large-scale data processing pipelines
- Deep understanding of distributed systems and cloud-native development practices
- 6+ years of backend software engineering experience, including 4+ years building distributed systems and scalable APIs
- 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)
- Experience building geospatial databases, mapping technologies, and/or 3D visualizations, including relevant front-end techniques- 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.
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