Sr. DevOps Engineer, Cloud Platform

We're looking for talented and ambitious individuals to join us on this journey-helping shape the future of robotics while growing alongside a world-class team. If you're passionate about innovation, problem-solving, and making a real-world impact, we want to hear from you!

Contoro Robotics is an Austin-based startup revolutionizing warehouse automation with AI-powered robotic solutions tackling real industrial challenges. Our mission is to deploy scalable, human-in-the-loop autonomous systems that reliably perform in the field. As our fleet of unloading robots expands, we're looking for a talented DevOps Engineer to help scale and harden our Cloud Platform infrastructure.

This role is critical to enabling real-time robot operation, system monitoring, and on-demand AI training infrastructure. You'll own key components of our web services, networking, and CI/CD systems.

- Cloud Platform Infrastructure

- Lead and maintain three foundational pillars of our infrastructure:

- Web Services: AWS-hosted and on-premise deployments

- Fleet Network: Secure, scalable data communication with the robots

- CI/CD Pipelines: Fast and reliable build/test/deploy automation

- System Migration & Deployment

- Lead the migration of key services to cloud-based infrastructure (AWS)

- Design and maintain secure user access, containerized services, and cloud-native integrations

- Fleet & GPU Resource Management

- 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

- Metrics-Driven Optimization

- Track and improve KPIs around build speed, service uptime, and deployment cadence

- Ensure infrastructure performance stays within defined budget constraints

- Best Practices & Collaboration

- Promote software development best practices, including automation, versioning, and test coverage

- Collaborate closely with software, hardware, and AI teams to integrate infrastructure into the product lifecycle

Please do not apply if you do not have direct experience designing and building AWS-driven infrastructure from scratch. It is not sufficient to have maintained existing systems.

- Experience

- 5+ years of hands-on experience with AWS, Linux, Terraform, and Python

- Prior ownership or leadership of production infrastructure projects

- Technical Expertise

- 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)

- Deep knowledge of scalable data stores (SQL, Redis, Timeseries, etc) and retention policies

- Passion for CI/CD workflows and automated testing pipelines

- Soft Skills

- Strong sense of ownership, urgency, and curiosity

- Excellent communication skills-both verbal and written

- Ability to work collaboratively across cross-functional teams

- Education

- Minimum B.S. in Computer Science, Engineering, or related field (or equivalent industry experience)

- Work Location

- Willingness to work on-site at our Austin, TX headquarters

- Experience managing GPU clusters or distributed compute environments

- Exposure to robot fleet orchestration or IoT deployment strategies

- Familiarity with 5G hardware, VPN technologies, and network configuration

- Familiarity with cloud-native observability stacks (e.g., Prometheus, Grafana, ELK)

*Recruitment Agencies: Please do not contact our employees regarding this role. We partner with a select group of approved recruiting firms and do not accept unsolicited outreach or candidate submissions.