Sr. DevOps Engineer, Cloud Platform

Contoro Robotics; Austin (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Contoro Robotics, an Austin-based startup, seeks a Senior DevOps Engineer to scale and harden our Cloud Platform infrastructure, enabling real-time robot operation and AI training workloads.

You will own AWS-based implementations, drive secure access, containerized services, and observability stacks while collaborating with software, hardware, and AI teams to deliver reliable deployments in a fast-paced environment.

Qualifications

• 5+ years of hands-on experience with AWS, Linux, Terraform, and Python.
• Ownership of production infrastructure projects.
• Proficient with Docker, Docker Compose, and Terraform.
• Experience with messaging protocols (Kafka, MQTT, WebSockets).
• Deep knowledge of scalable data stores (SQL, Redis, Timeseries).
• Passion for CI/CD workflows and automated testing pipelines.

Responsibilities

• Lead Cloud Platform Infrastructure across web services, fleet network, and CI/CD pipelines.
• Migrate services to AWS cloud-based infrastructure and design secure access.
• Manage GPU clusters for real-time and batch AI training.
• Track KPIs for build speed, uptime, and deployment cadence.
• Collaborate with software, hardware, and AI teams to integrate infra into product lifecycle.

Skills

AWS

Linux

Python

CI/CD

Ownership

Communication

Education

Bachelor's degree in Computer Science/Engineering

Tools

Docker

Docker Compose

Terraform

AWS

Job description

Job Title

Senior DevOps Engineer

Overview

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. 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.

Responsibilities

• 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

Qualifications & 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

• 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)