Senior Software Engineer

EagleView

26d•Remote

About The Position

Mixing technology, data, and first-in-class innovation, EagleView® is not only leading the property data analytics market, but also changing lives along the way. EagleView is a fast-growing technology company driving game-changing innovation in multibillion-dollar markets such as property insurance, real-estate, construction, and government. Leveraging 20 years of the most advanced aerial imaging technology in the world, along with the most recent advances in machine learning and AI, EagleView is fundamentally transforming how our customers do business. Eagleview, the leader in aerial imagery, is hiring a Sr. Software Engineer in Engineering to help grow our Geospatial Data Platform. Our Platform team is focused on building scalable cloud-based tools and capabilities that power the creation, processing, and delivery of high-quality geospatial data. You will deliver end-to-end workflow solutions supporting tools and services that integrate automated and manual tasks across a large-scale workforce. You will work across the stack — from cloud-based backend services, to workflow orchestration, and geospatial data processing and storage capabilities. We are a fast-paced, energetic team driven by continuous process improvement. We’re looking for motivated, organized, and independent team members. This position requires good communication skills and the ability to quickly pick up new technologies. Key areas of focus include: Building highly scalable backend services that support geospatial content processing and validation; Implementing workflow systems that manage manual and automated geospatial data processing pipelines from ML-created raw data to final high-quality datasets; Supporting and modernizing existing geospatial data processing workflows across front-end and backend systems.

Requirements

8–10+ years of professional software development experience preferably within a Geospatial context.
Strong experience in Go, Python, and/or JavaScript.
Experience designing and building backend APIs and workflow-driven systems.
Experience developing scalable, cloud-based distributed systems.
Experience with container orchestration (Docker, Kubernetes, or similar).
Experience with common CI/CD methods, tools and Cloud based deployments.
Strong debugging and performance optimization skills.
Demonstrated ability to deliver production-grade, enterprise-scale software.
Experience working in Agile development environments.
Robust design sense with the ability to interpret and translate business requirements.
Ability to work with minimal supervision. Self-motivated and eager to meet the needs of a dynamic environment.
Strong communication and interpersonal skills, and able to communicate complex concepts.

Nice To Haves

Experience with geospatial data processing and visualization systems.
Experience designing workflow orchestration or job processing systems.
Exposure to high-throughput or high-concurrency service architectures.
Experience utilizing modern AI-assisted and agentic coding toolsets and methodologies.
Experience building graphical editing systems or CAD-style 2D drawing tools.
Familiarity with browser rendering technologies (Canvas, WebGL, etc.).
Excellent communication in English, collaboration, reporting, analytical and problem-solving skills.
Collaborative working style laser focused on delivering high-quality outcomes.
Experience assessing and leading key non-functional improvements across the codebase.
Experience working within governed Enterprise Agile planning and delivery frameworks.
Prior experience collaborating across global engineering and product teams.

Responsibilities

Design and develop features for backend capabilities and deploy those features into live production environments.
Participate in all aspects of the software development life cycle, including requirements, design, coding, testing, implementation, release, and production support.
Leverage strong software engineering skillset to build complex workflows and highly scalable backend/services (Go, Python, Javascript).
Collaborate closely with Product and global Engineering teams to deliver reliable, enterprise-caliber systems that generate and manage spatial content used by thousands of customers.
Build and maintain backend services and APIs (Go, Python, Javascript) that power end-to-end workflows.
Support and extend existing measurement pipelines, including performance-critical components.
Design scalable workflow orchestration and processing systems for high-volume production environments.
Ensure strong test coverage, performance optimization, and reliability across the stack.
Troubleshoot complex cross-system issues spanning frontend, services, and processing layers.
Contribute to architectural decisions that improve scalability, maintainability, and system observability.
Partner closely with Product and cross-functional stakeholders to translate business requirements into technical solutions.
Collaborate with US and global engineering teams to deliver cohesive, end-to-end capabilities.
Participate in roadmap planning, technical design discussions, and code reviews.
Mentor junior engineers and promote strong engineering craftsmanship.
Contribute to operational excellence through monitoring, debugging, and continuous improvement.