Contoro Robotics is looking to solve labor challenges through advanced robotic solutions by scaling and hardening their Cloud Platform to enable real-time robot operation, system monitoring, and on-demand AI training infrastructure.
Requirements
- 2+ years of hands-on experience with Linux systems, Python, and Bash
- Solid knowledge of AWS services (IAM, S3, EC2, ECR, VPC, etc.)
- Proficient with Docker, Docker Compose, and Terraform
- Experience with messaging and communication protocols (e.g., Kafka, MQTT, WebSockets)
- Familiarity with 5G hardware, VPN technologies, and network configuration
- Understanding of CI/CD workflows and automated testing pipelines
- Experience managing GPU clusters or distributed compute environments
Responsibilities
- Lead and maintain three foundational pillars of our infrastructure: Web Services, Fleet Network, and CI/CD Pipelines
- Lead the migration of key services to cloud-based infrastructure (AWS)
- Design and maintain secure user access, containerized services, and cloud-native integrations
- Optimize uptime and performance of GPU clusters for real-time and batch AI model training
- Build and scale secure remote-access networking for robot fleet management
- Track and improve KPIs around build speed, service uptime, and deployment cadence
- Ensure infrastructure performance stays within defined budget constraints
Other
- Minimum B.S. in Computer Science, Engineering, or related field (or equivalent industry experience)
- Willingness to work on-site at our Austin, TX headquarters
- Strong sense of ownership, urgency, and curiosity
- Excellent communication skills—both verbal and written
- Ability to work collaboratively across cross-functional teams
