Principal Software Engineer - Data Infrastructure at Array Labs

Palo Alto, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Aerospace, GeospatialIndustries

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
U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State (ITAR requirements)

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

Skills

Python

C++

Java

AWS

GCP

Azure

Docker

Kubernetes

Array Labs

Provides high-resolution 3D geospatial imagery

About Array Labs

Array Labs specializes in creating high-quality 3D imagery using a network of small satellites called radar cubesats. These satellites work together to capture images of the same area from different angles, resulting in 3D images that are significantly more detailed than other options available. The company serves various clients, including government agencies and urban planners, who need accurate imagery for tasks like mapping and disaster response. Array Labs operates on a subscription model, allowing clients to access its continuously updated imagery data. Additionally, they offer a pilot program for early access customers to help refine their product based on user feedback. Their unique satellite system enables them to capture large areas quickly, providing timely data regardless of weather or terrain conditions. The goal of Array Labs is to enhance the geospatial imaging industry by offering cost-effective and precise 3D imagery solutions.

Thousand Oaks, CaliforniaHeadquarters

2019Year Founded

$5.4MTotal Funding

SEEDCompany Stage

Data & Analytics, Government & Public Sector, Enterprise SoftwareIndustries

11-50Employees

Benefits

Stock Options

Company Equity

Flexible Work Hours

Professional Development Budget

Risks

Increased competition from companies like Maxar Technologies challenges Array Labs' market position.

Regulatory changes in satellite deployment and data privacy could impact operations.

Open-source geospatial data platforms may attract potential customers away from Array Labs.

Differentiation

Array Labs uses radar cubesats for high-resolution 3D imagery, unlike competitors.

Their imagery is 10 times more detailed than existing alternatives, at lower costs.

The company offers a unique early access pilot program for customer collaboration.

Upsides

Growing demand for real-time geospatial data benefits Array Labs' rapid imaging capabilities.

Smart city initiatives globally require detailed 3D mapping, boosting Array Labs' market.

Advancements in AI enhance 3D imagery analysis, providing Array Labs a competitive edge.

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