Qube Research & Technologies - Production Support Engineer — LLM Platform

• Experience in a production support, SRE or platform operations role within a fast-paced environment, with strong ownership of issue resolution end to end • Strong Linux and Windows system administration skills • Proficiency scripting and automating in Python, Bash and/or PowerShell • Solid experience with relational databases such as PostgreSQL or SQL Server, including writing queries for investigation and supporting routine operational processes • Practical understanding of monitoring and observability: metrics, logs, traces, dashboards and alerting, and the ability to analyse system data to distinguish a platform-wide problem from a localised one • Comfortable debugging distributed, API-driven services: HTTP status and error semantics, timeouts, retries, connection resets, rate limiting, caching and latency percentiles • Familiarity with large language model concepts and hosting environments — inference APIs, model gateways/proxies, prompt and context handling, token accounting, streaming responses, prompt caching • Exposure to public cloud, ideally AWS (Bedrock, networking, IAM, logging/metrics), and to containerised or Kubernetes-based workloads • Ability to communicate clearly with both engineers and non-technical users, and to manage expectations of senior stakeholders during live incidents • Awareness of data-sensitivity and access-control considerations when routing workloads to third-party model providers • Beneficial • Experience supporting developer tooling and AI coding assistants (e.g. Claude Code, OpenCode) or IDE/workspace platforms • Experience with Grafana, Prometheus or equivalent observability stacks, including building dashboards and alert rules • Experience with CI/CD and infrastructure-as-code (Terraform, Ansible, or similar) • Experience operating multi-region services and troubleshooting region-specific performance issues (e.g. APAC latency) • Experience acting as the operational interface to third-party vendors and cloud providers during degradations