Sr. DevOps Engineer, Cloud Platform

Contoro Inc.
Austin, TX

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!

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)

Posted 2026-06-15

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