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# Sr. DevOps Engineer, Cloud Platform

- **Company:** Contoro Inc.
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Automation of Tests, Cloud Engineering, Computer Clusters, Code Coverage, Communications Protocols, Continuous Integration, Data Transmissions, Data Stores, Linux, DevOps, Monitoring of Systems, Identity and Access Management, Python (Programming Language), Machine Learning, Message Queuing Telemetry Transport (MQTT), Network Configuration and Change Management, Systems Development Life Cycle, Redis, Remote Access Technology, Prometheus, SQL Databases, Management of Software Versions, Web Services, WebSocket, Cloud Platform System, Grafana, Amazon Virtual Private Cloud (VPC), Information Technology, Deployment Automation, Apache Kafka, Terraform, Docker
- **Published:** June 17, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=8dd7611eed8918ef

## About the Role

Do you have experience in System design for system development?, Do you have a Bachelor's degree?, + 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, + 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)

## Description

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:
o Web Services: AWS-hosted and on-premise deployments
o Fleet Network: Secure, scalable data communication with the robots
o 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.


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