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Cloud Finops Engineer
Job in
Northampton, Northamptonshire, NN1 5EL, England, UK
Listed on 2026-09-10
Listing for:
GXO Logistics
Full Time
position Listed on 2026-09-10
Job specializations:
-
IT/Tech
Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
Job description:
Do you thrive on optimising cloud environments to maximise value and control costs? Do you enjoy turning complex cloud usage data into actionable insights that drive smarter business decisions? Here at GXO, we're looking for a Cloud Fin Ops Enginee r to join our team. You'll play a key role in driving cloud financial management, helping to optimise cloud spend while ensuring performance, scalability, and business value.
The Cloud Fin Ops Analyst is responsible for monitoring, analysing, reporting, and helping optimise GXOs cloud consumption costs across Google Cloud, AWS, Azure and AI-enabled services. The role provides visibility of actual spend, forecasts, budget variance, anomalies, key cost drivers and AI token usage. This is a full-time permanent position. Youll be working Monday to Friday, 09:00 till 17:00 with occasional travel to our Northampton or London office.
However, some flexibility is required, this is logistics after all! Pay, benefits and more:
Were looking to offer a salary of up to £56,000 per annum, and 25 days annual leave (plus bank holidays). Your benefits package includes, a company sponsored pension scheme, private medical & dental insurance, a 24/7 online GP service, life assurance and a fully comprehensive employee assistance programme. Youll also have access to our My Benefits platform offering a variety of high street discounts, a cycle to work scheme, cashback cards, a saving scheme and much more!
What youll do on a typical day:
Own cloud cost management and financial visibility across AWS, Azure and Google Cloud, delivering accurate reporting, forecasting and strategic insights that help GXO optimise spend while supporting innovation and growth. Lead AI expenditure and usage analysis , providing transparency into model, API, token and agent consumption to ensure AI services are delivered cost-effectively and aligned to business value. Champion Fin Ops best practice through effective cost allocation, show back and chargeback mechanisms, partnering with technology and finance stakeholders to improve accountability and cloud financial governance.
Identify trends, risks and optimisation opportunities through forecasting, budgeting and anomaly detection, helping to control expenditure, improve efficiency and maximise return on cloud and AI investments. What you need to succeed at GXO:
Strong experience in a Fin Ops Cloud Engineering role, with strong hands-on delivery experience Experience in cloud cost management, Fin Ops, technology financial management, cloud operations, data analysis or FP&A Experience producing dashboards, monthly cost packs, budget variance analysis, forecasting reports, anomaly analysis and executive summaries. Cloud fundamentals or practitioner-level certification in Google Cloud, AWS or Microsoft Azure desirable. We engineer faster, smarter, leaner supply chains.
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