Sr. DevOps Engineer, Cloud Platform

Job Description

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

Job Responsibility

• Lead and maintain three foundational pillars of our infrastructure: Web Services, Fleet Network, and CI/CD Pipelines.
• Design and maintain secure user access, containerized services, and cloud-native integrations.
• 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.
• Track and improve KPIs around build speed, service uptime, and deployment cadence.
• Ensure infrastructure performance stays within defined budget constraints.
• 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.
• 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.
• 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).
• 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).