Influence architectural decisions with a focus on security, scalability, reliability, and high performance
Choose technologies that will allow us to scale with our growing fleets of vehicles and robots while efficiently utilizing cloud infrastructure and managing costs
Work closely with the other AI teams to design and implement backend components required for future Autonomy features and processes
Setup and maintain monitoring, metrics & reporting systems for fine-grained observability and actionable alerting, from car to cloud
Author bullet-proof automated tests that will allow us to continue to merge and deploy with confidence
What You’ll Bring
Practical experience using application layer languages like C++, Go and Python
Experience with Linux, networking, storage, and virtualization automation with tools like Kubernetes, Terraform, Ansible, Puppet or similar
Experience with databases and search indexes like PostgreSQL, DynamoDB, ElasticSearch, Redis