Staff Software Engineer, Full Stack

About the role

Skydio is the leading US drone company and the world leader in autonomous flight. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users.

Responsibilities

• Design and evolve Skydio Cloud’s core data models, APIs, and services for drones, docks, users, missions, and the large volumes of telemetry, video, and geospatial data they produce.
• Build and maintain core fleet management capabilities, including real-time fleet health, over-the-air updates, asset and media management, security and permissions, user and device management, and fleet-scale observability.
• Develop geospatial and mission-planning systems that allow customers to plan advanced aerial missions, visualize complex spatial datasets, and operate drones autonomously and safely.
• Design secure, scalable, and highly observable systems capable of handling petabytes of real-time data and video from globally distributed drone fleets.
• Collaborate cross-functionally with Product, Design, Backend Infrastructure, and Field teams to rapidly iterate, incorporate customer feedback, and deliver impactful features.
• Provide technical leadership through architecture reviews, code reviews, and proof-of-concepts, helping raise the bar for engineering quality across the organization.
• Participate in a rotating on-call schedule to help ensure Skydio’s platform remains reliable and available 24/7.

Requirements

• 8+ years of experience building full-stack software systems, with strong proficiency in TypeScript, React, GraphQL, Python, and cloud platforms such as AWS.
• Demonstrated systems thinking: the ability to design end-to-end solutions with performance, reliability, testing, and observability in mind.
• Experience building secure, scalable, enterprise-grade cloud applications and APIs.
• Familiarity with modern infrastructure and tooling such as PostgreSQL, Kubernetes, Temporal, or similar technologies.
• Strong product instincts and the ability to take ambiguous problems and turn them into reliable, customer-facing solutions.

Bonus points for

• Experience with geospatial data, mapping, or visualization tools such as Mapbox, Cesium, PostGIS, ArcGIS, or QGIS.
• Experience with photogrammetry, scanning, mapping, or 3D reconstruction pipelines.
• Experience integrating frontend applications with cloud-based services and real-time data systems.
• Familiarity with autonomy, robotics, or mission-planning architectures (e.g., state machines, behavior trees).