Sr. DevOps Engineer, Cloud Platform

Contoro Inc. • Austin, TX

3d • Onsite

About The Position

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.

Requirements

• Direct experience designing and building AWS-driven infrastructure from scratch (maintaining existing systems is not sufficient).
• 5+ years of hands-on experience with AWS, Linux, Terraform, and Python.
• Prior ownership or leadership of production infrastructure projects.
• 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.
• Strong sense of ownership, urgency, and curiosity.
• Excellent communication skills—both verbal and written.
• Ability to work collaboratively across cross-functional teams.
• Minimum B.S. in Computer Science, Engineering, or related field (or equivalent industry experience).

Nice To Haves

• 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).

Responsibilities

• 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), and CI/CD Pipelines (Fast and reliable build/test/deploy automation).
• 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.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior