or apply directly on Qube Research & Technologies's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 76 days Qube Research & Technologies's roles stay open a median of 81 days
- Reposted
- No
- Salary listed
- No 8% of Qube Research & Technologies's roles list one
- Ghost-job risk at Qube Research & Technologies
- high 196 stale, 1 reposted of 202 open
- Hiring momentum
- 252 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from Qube Research & Technologies's own greenhouse board since 2026-08-03. Full hiring picture for Qube Research & Technologies.
About this role
As an AI Platform Engineer at Qube Research & Technologies, you will provide support for the LLM gateway platform, resolving issues for engineering and business users. Your responsibilities include monitoring infrastructure, troubleshooting model-serving backends, managing incidents, and improving operational documentation. You will also build tooling for better monitoring and diagnostics, and collaborate with various teams to ensure platform stability and performance.
- benefits
- 1/5
- freshness
- 1/5
- career value
- 3/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Qube Research & Technologies as an employer.
What you need
- Experience in a production support, SRE or platform operations role within a fast-paced environment
- 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
- Practical understanding of monitoring and observability: metrics, logs, traces, dashboards and alerting
- Comfortable debugging distributed, API-driven services
Nice to have
- Experience supporting developer tooling and AI coding assistants
- Experience with Grafana, Prometheus or equivalent observability stacks
- Experience with CI/CD and infrastructure-as-code
- Experience operating multi-region services
- Experience acting as the operational interface to third-party vendors
Worth weighing
- No salary listed
- Focus on operational support may limit exposure to development or innovative projects
- Role requires strong communication skills for managing expectations during incidents
Summarised from Qube Research & Technologies's posting. Read the full original.
Listed by Qube Research & Technologies on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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