Sr. Software Engineer

• 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%.

The ideal candidate will be comfortable designing and developing features for backend capabilities and deploying those features into live production environments. You will participate in all aspects of the software development life cycle, including requirements, design, coding, testing, implementation, release, and production support. Your strong software engineering skillset will be constantly leveraged to build complex workflows and highly scalable backend/services (Go, Python, Javascript). You thrive in environments where software craftsmanship is valued above all and the outcomes you deliver are of the highest quality both functionally and non-functionally.

You will collaborate closely with Product and global Engineering teams, communicating complex technical decisions and requirements clearly across organizational boundaries, to deliver reliable, enterprise-caliber systems that generate and manage spatial content used by thousands of customers.

Technical Responsibilities

• 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.

Collaboration & Ownership

• Partner closely with Product and cross-functional stakeholders, using strong verbal communication to effectively translate business requirements into technical solutions and articulate technical trade-offs and recommendations.
• 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.

• 8-10+ years of professional software development experience.
• 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.
• Exceptional verbal communication and interpersonal skills with demonstrated ability to clearly articulate complex technical concepts, architect decisions, and business implications to both technical and non-technical audiences.

Preferred

• 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.)

Leadership

• Excellent verbal communication in English with the ability to clearly present and discuss technical strategies, design decisions, and complex architectural concepts; strong 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

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 exceptional verbal communication skills-your ability to articulate complex technical concepts clearly to diverse stakeholders is essential-along with the ability to quickly pick up new technologies., About EagleView

201-500