Sr. DevOps Engineer, Cloud Platform

Contoro Robotics

$120K — $150K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of hands-on experience with AWS, Linux, Terraform, and Python.
  • Ownership of previous production infrastructure projects.
  • Solid knowledge of key AWS services (IAM, S3, EC2, ECR, VPC).
  • Proficiency in Docker and Terraform.
  • Experience with messaging protocols (Kafka, MQTT, WebSockets).
  • Deep understanding of scalable data stores and retention policies.
  • Strong sense of ownership and urgency.

Responsibilities

  • Lead maintenance of AWS-hosted web services and on-premise deployments.
  • Manage secure data communication for robot fleet.
  • Directly handle CI/CD pipelines for build/test/deploy automation.
  • Lead migration of services to cloud-based infrastructure.
  • Design secure user access and cloud-native integrations.
  • Optimize GPU cluster uptime for AI training tasks.
  • Promote best practices in software development and collaborate across teams.

Benefits

  • Work in an innovative startup environment at the forefront of AI and robotics.
  • Opportunity to lead significant cloud infrastructure initiatives.
  • Collaborate with diverse teams in software, hardware, and AI.
  • Engage in a dynamic work culture of scalability and real-time operations.
Full Job Description
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)

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