Sr. Software Engineer

EagleView•Remote US, UNAVAILABLE

54d•Remote

About The Position

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. This is a full-time remote role with a salary range of $125,000-$150,000/yr and bonus potential of 10%.

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

Designing and developing features for backend capabilities and deploying those features into live production environments.
Participating in all aspects of the software development life cycle, including requirements, design, coding, testing, implementation, release, and production support.
Building and maintaining backend services and APIs (Go, Python, Javascript) that power end-to-end workflows.
Supporting and extending existing measurement pipelines, including performance-critical components.
Designing scalable workflow orchestration and processing systems for high-volume production environments.
Ensuring strong test coverage, performance optimization, and reliability across the stack.
Troubleshooting complex cross-system issues spanning frontend, services, and processing layers.
Contributing to architectural decisions that improve scalability, maintainability, and system observability.
Partnering closely with Product and cross-functional stakeholders to translate business requirements into technical solutions.
Collaborating with US and global engineering teams to deliver cohesive, end-to-end capabilities.
Participating in roadmap planning, technical design discussions, and code reviews.
Mentoring junior engineers and promoting strong engineering craftsmanship.
Contributing to operational excellence through monitoring, debugging, and continuous improvement.