Sr. DevOps Engineer, Cloud Platform

Join Contoro Robotics - Revolutionizing Warehouse Automation with Cutting-Edge Robotics

At Contoro Robotics , we're on a mission to solve labor challenges through advanced robotic solutions. Headquartered in Austin, TX , our fast-growing startup is transforming the supply chain industry with our flagship warehouse automation technology. Our team is made up of top-tier experts in robotics, AI, and logistics , working together to push the boundaries of automation.

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!

Job Description

Title: Senior DevOps Engineer

Intro

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.

Job Responsibility

• 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

Qualification/Requirements

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

Preferred/Plus

• 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)