RIOS is a technology company helping global customers automate their factories, warehouses, and supply chain operations by deploying a new class of AI-powered and dexterous robots. RIOS robots handle hard-to-automate tasks, typically requiring human-level dexterity, in unstructured environments. RIOS is headquartered in Palo Alto, CA and has a pilot facility in San Carlos, CA. More information is available at www.rios.ai.
RIOS is looking for a Systems Reliability Engineer who can take on the management and development of RIOS’s backend tooling. This includes both in Cloud and bare-metal.
Technical attributes of candidates may include some of the following:
B.S. with 3+ years industry experience in Computer Science or related field (or equivalent)
Experience with container orchestration using modern configuration management tools (e.g. Ansible, Kubernetes, Docker Swarm)
Experience building releasing and maintaining infrastructure-as-code (IaC) using modern configuration/scripting tools (e.g. Terraform, Puppet, Chef)
Experience writing production software deployed in containered environments, experience building, debugging and working with containers (e.g. Docker)
Formal release process and versioning, CI/CD, best practices workflows
Experience debugging and working with ELK stack tooling or the equivalent
Advanced linux understanding, up to and including kernel or driver level development and debugging
Experience using API’s for interacting with backend storage infrastructure
A track record of deploying and maintaining code in production
Complex dependency management experience (e.g., setting up and maintaining private APT)
Expertise in Python, bash, linux systems, networking, object stores (e.g., S3)
Attention to details such as documentation, version control and reproducibility
Nice to Have:
Expertise with databases such as SQL, NoSQL, and cloud solutions
An understanding of networking protocols and debugging networking issues
SSL/VPN/cryptographic systems management experience
Familiarity with deployment of machine learning models
To apply for this job please visit careers.jobscore.com.