RYZ Labs is looking for a Senior Network & Linux Systems Engineer to collaborate on cutting-edge AI solutions that transform the global supply chain. You’ll work with a forward-thinking client to develop AI-powered vision systems that analyze real-world logistics operations.
Key Responsibilities:
Youʼll join a small but highly capable team focused on field infrastructure, working hands-on to keep our network and Linux fleet healthy as we scale.
Network operations (~40%):
● Monitor and troubleshoot site networks across our yard footprint
● Maintain VPN tunnels, firewall rules, and segmentation
● Improve alerting so we page humans only when humans can fix the problem
Linux fleet (~40%):
● Operate our edge fleet: NVIDIA Jetsons running CV inference, Ubuntu compute
nodes, supporting hardware
● Own remote management, drift detection, OS patching, and secure baselines
● Lead the in-progress Windows-to-Linux migration and build provisioning
automation that brings new sites online in hours
Automation ~(20%):
● Eliminate repetitive ops work — AI agents wherever possible, scripts where not
● Strengthen observability for sites we canʼt physically visit
● Contribute to our internal IT bot for routine access and config requests
Qualifications:
● 6/7 years operating production Linux systems in mixed-environment fleets
● Deep practical networking — packet captures, routing, DNS, layer 2 vs. 3
reasoning without consulting a textbook
● Experience with edge or IoT device fleets (Jetson, Raspberry Pi, industrial PCs)
● Daily, fluent use of AI coding tools and agents
● Bash and Python scripting where automation is your default
● English working proficiency, written and spoken
Bonus:
● Remote/distributed site operations (logistics, telecom, retail, industrial)
● Monitoring stacks Prometheus, Grafana, Datadog) and Ansible
● GCP networking — VPCs, Cloud VPN, Cloud Interconnect, firewall rules
What we are looking for:
● Strong operators who can also reason about design — you won't whiteboard
architecture from scratch, but you'll engage in design conversations as we evolve
our infrastructure
● Comfort working at the customer boundary — understanding how to integrate
gracefully with customer networks, not just our own
● A hands-on IC mindset — no team underneath you, no deep org chart, just you and
your peers on the infra team