Principal Software Engineer - Data Infrastructure

Overview

Design and build scalable backend systems for petabyte-scale geospatial satellite data.

Key Responsibilities

• distributed systems
• database design
• api architecture
• data pipelines
• monitoring
• technical roadmap

Tasks

As Principal 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. -Work with cross-functional teams to define technical requirements, architect solutions, and drive the backend roadmap in alignment with company goals -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

Requirements

• geospatial
• itar
• distributed systems
• cloud platforms
• python
• docker

What You Bring

-Familiarity with geospatial, remote sensing, 3D data, and/or digital signal processing techniques (e.g. SAR and optical satellite imagery, OpenStreetMap, LiDAR point clouds) -To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a 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 -Experience building geospatial databases, mapping technologies, and 3D visualizations, including relevant front-end techniques -Deep understanding of distributed systems and cloud-native development practices -Experience with high-performance computing and optimization of large-scale data processing pipelines -Strong proficiency in backend languages (e.g., Python, C++, Java), experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (e.g. Docker, Kubernetes) -6+ years of backend software engineering experience, including 4+ years building distributed systems and scalable APIs -Excellent communicator, with the ability to make high-quality technical decisions in a startup environment

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Benefits

You can anticipate competitive pay, with high flexibility between salary and equity-based compensation. We will conduct two virtual interviews followed by an onsite or virtual onsite. The typical process takes 2-4 weeks from start to finish.

About Array Labs

-Founded with a mission to transform laboratory testing for critical industries. -Specializes in providing advanced and accurate testing solutions for industrial and energy sectors. -Combines cutting-edge technology with expert analysis to ensure the highest standards of quality and reliability. -Offers services that cater to a wide range of industries, ensuring safety and compliance with regulations. -Focused on delivering tailored testing solutions that drive innovation in sectors such as energy and industrial engineering. -Known for its detailed, high-performance testing capabilities that support both large and small-scale projects. -Has worked on projects that include energy infrastructure, manufacturing, and high-tech industrial solutions. -Focused on continuous innovation and staying ahead of industry trends to provide the most effective testing solutions.

Sector Specialisms

Interview Process

-two virtual interviews -onsite or virtual onsite interview -process typically takes 2-4 weeks