Senior Software Engineer

About Us

EagleView is a leading provider of aerial imagery, property insights and software that transforms the way people work. EagleView holds more than 300 patents and owns a large geospatial data and imagery library encompassing 94 percent of the US population. EagleView provides the most accurate data, enabling customers in the government, construction, solar and insurance industries to make timely, informed, and better decisions.

Eagleview, the leader in aerial imagery, is hiring a Senior Software Engineer for our Platform Engineering group. Eagleview is looking for an experienced Senior Software Engineer to join an existing team to design, develop, and maintain next generation mission-critical at-scale cloud-based geospatial delivery services handling petabytes of data. Ideal candidates will have worked in a similar capacity as part of a high technology and/or data products company developing highly scalable services in the GIS, mapping, and/or geospatial data space.

Leveraging your past experiences and cloud-based skills, you will work in all phases of the software development life cycle to design, build and support a scalable micro-services platform. You take pride and ownership in your work as well as the overall contributions of the team.

This is a permanent full-time role, with office and work-from-home options available. If you are looking for a rewarding software engineering career in the Geospatial industry, please apply

• Perform technical design, development, testing and code reviews of enterprise-scale geospatial services.
• Participate in team technical activities including story breakdown sessions, sprint planning, effort estimation, code reviews, NFR assessments, and architectural reviews.
• Actively evaluate, prototype, and recommend next-generation cloud-native data delivery technologies.
• Assess, refactor, and optimize high-volume repository transaction and distribution channels.
• Identify and implement data quality management capabilities, monitoring tools, and associated governance controls/reporting.
• Participate in the troubleshooting and RCA process for production issue escalations.
• Create clear and concise technical documentation, production support runbooks, and supporting quality metrics.

• 5+ years of professional experience building enterprise-scale real-time and batch-based data distribution capabilities.
• Extensive experience leveraging modern technologies, frameworks, and cloud tools (Kubernetes, Postgres, S3, SQS, etc.).
• Expertise using modern development languages (Go and/or C# preferred).
• Experience working with large geospatial raster and vector datasets.
• Intimate familiarity with cloud-based large (billions of records) SQL databases including experience in performance tuning, query optimization and partitioning.
• Test-driven development mindset with a focus on code quality, scalability, and efficiency.
• Previous experience building enterprise-caliber, event-driven distributed systems using cloud-based architectural patterns and infrastructure.
• Familiarity with domain-based data architecture, metadata management, and data quality frameworks.
• Strong oral and written English skills are required.
• Collaborative working style with a primary focus on delivering quality outcomes.

Preferred

• Experience working within governed Enterprise Agile planning and delivery organizations using Scrum practices preferred.

This job description is not an exclusive or exhaustive list of all job functions that a workforce member in this position may be asked to perform. Duties and responsibilities can be changed, expanded, reduced, or delegated by management to meet the business needs of the company. The compensation offered to the successful candidate will be based on a variety of factors, including but not limited to, the candidate's work experience, education and licenses, work-related training, key skills, the core duties of the role and its associated responsibilities, additional benefits offered, and the location where the work will be performed.