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WEBRIOT is seeking an experienced infrastructure-focused engineer to move between architecture, implementation, incidents, and customer teams. You will design platform capabilities, trace delivery failures, and ship durable systems that improve outcomes.
Your work will reduce production surprises and minimize dependence on external help, while teaching customers to own what remains. Expect collaboration across cloud, edge, and AI workloads with a focus on reliability and automation.
This is infrastructure work at the point of consequence. You will move between architecture, implementation, incidents, and customer teams without throwing the hard part over a wall.
WEBRIOT gets called when infrastructure has become a constraint. Sometimes the job is a platform build. Sometimes it is a failing delivery path, an edge fleet that cannot recover cleanly, or an AI workload that escaped the prototype without operational controls.
Your job is to find the real failure mode, make the tradeoffs visible, and ship the smallest durable system that changes the outcome. You will write code, shape architecture, improve operations, and teach the customer how to own what remains.
Make production less surprising and the team less dependent on outside help.
The work changes with the system. The standard does not.
We care more about production judgment than a perfect inventory of vendor badges. You should be able to explain what you changed, why it mattered, and what the system taught you after deployment.
Your first 90 days should leave evidence in the system and in the team operating it.
Understand the architecture, delivery path, operating signals, and the humans carrying the risk.
Ship a material improvement with measurable evidence and an explicit rollback path.
Leave the customer able to operate, extend, and challenge what was built.
Tools are context. Outcomes are the job. You should be fluent in modern infrastructure patterns and able to learn unfamiliar systems quickly.
Kubernetes Terraform / OpenTofu AWS / Azure / GCP GitHub Actions / GitLab CI Argo CD / Flux OpenTelemetry Prometheus / Grafana Go / Python / TypeScript
Real systems, direct technical conversation, and a working session built around judgment instead of trivia.