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