{"id":2599198,"url":"https://alion.io/job/qube-research-technologies-production-support-engineer-llm-platform","title":"Production Support Engineer — LLM Platform","company":{"id":706156,"name":"Qube Research & Technologies","domain":"qube-rt.com","url":"https://alion.io/company/qube-research-and-technologies","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Ansible","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Grafana","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PostgreSQL","optional":false},{"name":"PowerShell","optional":false},{"name":"Prometheus","optional":false},{"name":"Prompt Caching","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"TPOT","optional":false},{"name":"Windows","optional":false}],"status":"live","first_seen_at":"2026-10-14T01:36:20Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-15T11:53:41Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"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 our 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.\nYour future role within QRT\nProvide first- and second-line support for LLM gateway platform, investigating and resolving issues raised by engineering and business users across the firm\nMonitor and maintain the platform's underlying infrastructure to ensure availability, stability and predictable performance under rapidly growing load\nSupport and troubleshoot model-serving backends and provider integrations, model providers, covering latency, throughput, error-rate and capacity issues\nTriage 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\nSupport 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\nCoordinate with platform engineering, cloud infrastructure and end-user teams to resolve incidents and minimise disruption\nSupport release management and change processes to keep production stable, including staged rollouts, non-prod validation and rollback\nBuild tooling and automation to improve monitoring, diagnostics and operational visibility, and to reduce repetitive manual work\nContribute to the design and implementation of monitoring, dashboards and alerting - for example extending Grafana dashboards covering TTFT, TPOT, percentile latency and failure-rate reporting\nOwn and improve operational documentation, runbooks and user-facing status communication\nYour present skillset\nExperience in a production support, SRE or platform operations role within a fast-paced environment, with strong ownership of issue resolution end to end\nStrong Linux and Windows system administration skills\nProficiency scripting and automating in Python, Bash and/or PowerShell\nSolid experience with relational databases such as PostgreSQL or SQL Server, including writing queries for investigation and supporting routine operational processes\nPractical 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\nComfortable debugging distributed, API-driven services: HTTP status and error semantics, timeouts, retries, connection resets, rate limiting, caching and latency percentiles\nFamiliarity with large language model concepts and hosting environments - inference APIs, model gateways/proxies, prompt and context handling, token accounting, streaming responses, prompt caching\nExposure to public cloud, ideally AWS (Bedrock, networking, IAM, logging/metrics), and to containerised or Kubernetes-based workloads\nAbility to communicate clearly with both engineers and non-technical users, and to manage expectations of senior stakeholders during live incidents\nAwareness of data-sensitivity and access-control considerations when routing workloads to third-party model providers\nBeneficial\nExperience supporting developer tooling and AI coding assistants (e.g. Claude Code, OpenCode) or IDE/workspace platforms\nExperience with Grafana, Prometheus or equivalent observability stacks, including building dashboards and alert rules\nExperience with CI/CD and infrastructure-as-code (Terraform, Ansible, or similar)\nExperience operating multi-region services and troubleshooting region-specific performance issues (e.g. APAC latency)\nExperience acting as the operational interface to third-party vendors and cloud providers during degradations\nQRT 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.","description_format":"text","description_chars":4452,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Hedge Funds & Alternative Investments"],"lifecycle":[{"event":"open","at":"2026-10-15T07:54:31Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":1,"expected_fill_days":21,"reasons":["conf:1","win:early","comp:brand"],"computed_at":"2026-10-15T13:49:13Z"},"pay":null,"html_url":"https://alion.io/job/qube-research-technologies-production-support-engineer-llm-platform","json_url":"https://alion.io/job/qube-research-technologies-production-support-engineer-llm-platform.json","meta":{"generated_at":"2026-10-15T13:49:13Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":21289,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":706156},"rest":"https://alion.io/mcp/rest/get_company?id=706156"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fqube-research-technologies-production-support-engineer-llm-platform"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fqube-research-technologies-production-support-engineer-llm-platform"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fqube-research-technologies-production-support-engineer-llm-platform"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/qube-research-technologies-production-support-engineer-llm-platform\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fqube-research-technologies-production-support-engineer-llm-platform"}]}