Quberesearchand Technologies Production Support Engineer at Qube Research & Technologies providing day-to-day support for the LLM platform. Responsible for incident resolution, user assistance, and operational procedures during US business hours.
Responsibilities
This is a hands-on support role, focused on incident resolution, user assistance and established operational procedures-not platform architecture, model development or infrastructure engineering.
Your future role within QRT:
Provide first- and second-line support for QRT’s platform for accessing internally hosted and external LLMs, investigating issues raised by engineering and business users, maintaining support tickets and following issues through to resolution or engineering escalation.
Monitor platform health using existing dashboards, logs and alerts; identify availability, latency and error-rate problems and perform approved recovery actions using established runbooks.
Troubleshoot gateway and model-provider issues, including authentication failures, rate limits, timeouts, connection resets, streaming failures and regional performance differences.
Determine whether incidents originate in a user’s client or configuration, the platform gateway, an internally hosted model or an external LLM provider; collect diagnostic evidence and coordinate escalation to the appropriate team or vendor.
Support coding assistants, API clients and developer workspaces connected to QRT’s LLM platform, including Claude Code, Codex CLI, OpenCode, PI and Coder; investigate compatibility issues following client or vendor updates.
Help users configure supported integrations, select the appropriate regional endpoint and migrate API access from Open WebUI to the direct gateway.
Investigate access and model-availability queries, check user permissions and escalate provisioning or entitlement issues through established support and governance processes.
Carry out operational checks for releases and configuration changes, including non-production validation, post-release smoke testing and approved rollback procedures, in coordination with platform engineering.
Use existing observability tools to investigate time to first token, time per output token, percentile latency and failure rates; flag recurring issues and monitoring gaps to the platform team.
Maintain runbooks, troubleshooting guides and known-issue records; provide clear incident updates and reliable handovers between regional support teams.
Qualification
Familiarity with Grafana
Preferred
Experience supporting AWS Bedrock or other managed model APIs.
Experience supporting AI coding assistants, API clients or developer workspaces such as Claude Code, Codex CLI, OpenCode, PI or Coder.
Familiarity with Grafana, Coralogix or equivalent monitoring and log-analysis tools.
Exposure to LLM gateways or proxies such as LiteLLM, or internally hosted inference services such as vLLM.
Experience troubleshooting containerised services on ECS or Kubernetes.
Familiarity with identity and access provisioning, particularly Okta, SCIM and application-level permissions.
Experience supporting multi-region services and working with globally distributed support and engineering teams.
Experience coordinating support cases with cloud providers or software vendors during service degradation.