• Enthusiasm for working on infrastructure and backend systems
• Strong Python coding skills
• Expertise with Linux, and some of: Kubernetes, AWS, Docker, Helm
• Bachelors in CS or equivalent
• 2+ years experience developing software
• Adept at communicating to both technical and commercial audiences
• Willingness and eligibility for security clearance up to TS/SCI

Desirable

• We’re looking for a talented Software Engineer in Infrastructure to help develop the systems that powers Matroid’s computer vision platform. Working alongside software and computer vision experts, you’ll collaborate to solve problems, enable features and increase efficiency by building new shared services, systems, and tooling
• You’ll be working onsite at our new downtown Palo Alto office, located near the Stanford campus and Caltrain
• Developing new infrastructure on AWS and Kubernetes that is secure, reliable, and scalable
• Coding up new capabilities for the systems that power our computer vision platform
• Increasing efficiency across engineering with better libraries, tooling and automation
• Applying modern best practices such as infrastructure-as-code and observability
• You’ll be working with modern technologies like Python, Kubernetes, Helm, and Prometheus
• You’ll be part of a world-class, multidisciplinary engineering team, where each member identifies and prioritizes valuable and interesting new features to work on
• You will operate in a collaborative but highly autonomous environment that isn’t bogged down by unnecessary meetings or project management
• You will know that almost everything you build affects real-world users, and you will set the quality standards for your work appropriately
• You will work collaboratively alongside software and computer vision experts to deploy new infrastructure solutions empowering Matroid features and capabilities
• You will learn a lot along the way, diving into new technologies and the world of computer vision both on your own and during frequent company tech talks