Lead Software Engineer (Python / TypeScript)

About the Role

Up for a challenge? At FlyPix, we are transforming the complex domain of geospatial AI into a simple-to-use platform. As a Lead Software Engineer, you will lead the design and implementation of our key platform components, focusing on:

• Architecting distributed systems and microservices optimized for performance and resilience.
• Managing cloud-agnostic infrastructure using Terraform and Kubernetes.
• Developing and maintaining backend services with TypeScript and Python.
• Driving frontend application development built with ReactJS.
• Supporting and optimizing data workflows related to Machine Learning, Computer Vision, and Geospatial Processing.
• Mentoring team members and fostering a strong engineering culture through code reviews and design discussions.

About You

To be a successful candidate, you should have:

• 7 years of professional software development experience.
• A track record of building distributed applications.
• Profound knowledge of system design and software architecture.
• Solid experience in developing Machine Learning-centric software.
• Ability to quickly learn and share knowledge within the team.
• Attention to detail, as the little things differentiate great products from ordinary ones.
• A passion for solving complex challenges and going the extra mile.

In your application, please mention the number of geospatial products you’ve worked with; the correct answer is 42.

Your Benefits

We offer a full-time, fully remote position aimed at providing work-life balance alongside high performance. Benefits included:

• An employee options scheme rewarding your contributions long-term.
• A culture of openness and innovation, encouraging you to express your ideas and build something impactful.
• Professional development opportunities through knowledge sharing, mentorship, and educational resources.
• A strong preference for skills over resumes; include a link to your GitHub showcasing your projects.

About FlyPix.AI

We value candidates based on skills and professionalism, welcoming diversity to encourage a rich variety of backgrounds in our team. Join us in making Earth observation data accessible to everyone!