Senior Software Engineer (Full Stack, Platform)

At Aigen, our mission is to accelerate the transition to regenerative agriculture—with a pesticide-free, solar-powered robotics platform.

52% of agricultural land is degraded by current management practices, and toxic chemical pesticides are sprayed and then consumed in the food we eat. Join us to make a real-world impact at the intersection of cutting-edge robotics, agriculture, AI, and climate! With $19M raised to date, we are backed by leading investors including NEA, GFC, AgFunder, Regen.vc, and Bessemer Ventures.

We’re looking for a Senior Full Stack Engineer to lead development of the cloud platform that will allow farmers to interact with fleets of autonomous robots roving their fields. This is a greenfield project where you’ll architect, build, and launch the MVP platform from scratch—owning both the AWS cloud infrastructure and the React.js front end that powers the farmer experience.

If you thrive on solving complex, real-world problems and want your work to make a tangible impact, you’ll feel at home here. Collaborate with cross-functional teams to design intuitive workflows, real-time dashboards, and geospatial tools that empower farmers to allocate robots to tasks with confidence and efficiency.

Aigen celebrates diversity in all its forms and is an equal opportunity employer.

Coverage: King5 | GeekWire | FastCompany | NEA | AgFunder

Tools / Languages: React.js, TypeScript, Python, AWS, Mapbox

• Architect and develop full-stack applications, with a strong focus on the React.js front end and modern TypeScript/JavaScript best practices.
• Build real-time data-driven UIs powered by WebSockets, MQTT, or AWS IoT Core for live fleet monitoring and control.
• Implement geospatial rendering using Mapbox, Leaflet, or similar frameworks to visualize large-scale farm and robot fleet data efficiently.
• Design and implement scalable serverless AWS architectures using CDK, Lambda (Python), API Gateway, DynamoDB, RDS, S3, Cognito, and related services.
• Optimize UI and backend performance for low-latency rendering of telemetry, maps, and analytics.
• Develop secure, role-based authentication and authorization workflows using AWS Cognito or equivalent.
• Build and maintain CI/CD pipelines (GitHub Actions, AWS CodePipeline, etc.) with automated testing.
• Work closely with robotics and product teams to turn fleet operations data into intuitive farmer-facing workflows.

• Experience owning software systems from initial design through production launch to long-term support, and keeping it running smoothly for real users.
• BS/MS in Computer Science, Software Engineering, or related technical field — or equivalent hands-on experience.
• 5+ years of professional full-stack development, with deep expertise in React.js and modern front-end build tooling.
• Strong proficiency in Python for backend development, particularly in AWS Lambda/serverless environments.
• Proven experience architecting and deploying cloud-native applications on AWS.
• Hands-on experience integrating real-time data streams into user interfaces (MQTT, WebSockets, AWS IoT Core).
• Familiarity with geospatial visualization frameworks for rendering large-scale, real-time map data.
• Track record of troubleshooting and improving production systems deployed at scale.
• Comfortable in a fast-paced, ambiguous startup environment, delivering iteratively with evolving requirements.

• Experience launching cloud-based platforms for connected devices or IoT fleets.
• Familiarity with real-time data visualization of high-frequency telemetry from distributed devices.
• Solid grasp of data structures, relational databases (PostgreSQL, Athena), and geospatial data stores.
• Experience integrating messaging/streaming protocols (MQTT, WebSockets, AWS IoT Core) into web applications.
• Knowledge of geospatial mapping frameworks (Mapbox, Leaflet, OpenLayers) for interactive UIs.
• Exposure to video streaming pipelines (GStreamer, WebRTC, HLS) for remote monitoring.
• Understanding of robotics data flows (telemetry, task scheduling, map data).
• Background in agriculture technology, robotics, or other field-deployed autonomous systems.
• Prior startup experience and/or work on greenfield products.
• Experience building applications for low-bandwidth or performance-constrained environments.