Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.
Your future role within QRT
- Provide first- and second-line support for LLM gateway platform, investigating and resolving issues raised by engineering and business users across the firm
- Monitor and maintain the platform's underlying infrastructure to ensure availability, stability and predictable performance under rapidly growing load
- Support and troubleshoot model-serving backends and provider integrations, model providers, covering latency, throughput, error-rate and capacity issues
- Triage incidents affecting model availability — provider instability, connection resets, timeouts, regional slowness — determine whether the cause is platform-side or upstream, and drive to resolution with vendors where required
- Support the tooling layer built on top of LLM gateway: integrations, developer workspaces (e.g. Coder), coding assistants and API clients, including diagnosing issues introduced by upstream vendor releases running against a gateway-fronted API
- Coordinate with platform engineering, cloud infrastructure and end-user teams to resolve incidents and minimise disruption
- Support release management and change processes to keep production stable, including staged rollouts, non-prod validation and rollback
- Build tooling and automation to improve monitoring, diagnostics and operational visibility, and to reduce repetitive manual work
- Contribute to the design and implementation of monitoring, dashboards and alerting — for example extending Grafana dashboards covering TTFT, TPOT, percentile latency and failure-rate reporting
- Own and improve operational documentation, runbooks and user-facing status communication
Your present skillset
- 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
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
Skills Required
- 4+ years of experience in software or platform engineering with exposure to AI/ML or LLM-based applications
- Strong Kubernetes experience
- Familiarity with containerised environments
- Good knowledge of AWS, networking fundamentals, IAM, and cloud infrastructure
- Hands-on experience building and operating production RAG systems
- Experience with vector databases and retrieval systems
- Strong Python skills and experience building production APIs and services
- Understanding of LLM fundamentals including prompting, context management, token constraints, and output reliability
- Strong communication skills and ability to collaborate across technical and non-technical teams
- Experience with agentic AI systems and workflow orchestration
- Familiarity with LLM evaluation frameworks and quality measurement
- Exposure to model serving platforms and inference optimisation
- Understanding of embedding model trade-offs and retrieval performance
- Experience with data engineering or AI-related data pipelines
- AWS or Kubernetes certifications
Qube Research & Technologies Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Qube Research & Technologies and has not been reviewed or approved by Qube Research & Technologies.
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Wellbeing & Lifestyle Benefits — Office amenities such as free meals, social events, and wellness-focused workspaces are highlighted in multiple locations. Cycle-to-work schemes and onsite classes in Europe further enhance day-to-day quality of life.
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Leave & Time Off Breadth — Two paid volunteer days and corporate donation matching were introduced firmwide. Some locations also cite generous annual leave allowances with options to buy additional days.
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Healthcare Strength — Private medical coverage and life insurance are called out for the UK. Job listings reference health insurance in various regions, though specifics differ by office.
Qube Research & Technologies Insights
What We Do
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. We currently have multiple open positions on our website, please get in touch! Our commitments: https://www.qube-rt.com/commitments
