Cloud Finops Engineer
GXO Logistics
Kingsley Park · posted 17 August 2026
Salary
£56,000 a year
Job type
full time
Location
Kingsley Park, Northamptonshire
Category
Information Technology
Company description:
Take the next step in your career now, scroll down to read the full role description and make your application.
GXO Logistics Supply Chain Inc.
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 FinOps 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 FinOps 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 MyBenefits 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 FinOps 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 FinOps Cloud Engineering role, with strong hands-on delivery experience
Experience in cloud cost management, FinOps, 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. xwzovoh
We engineer faster, smarter, leaner supply chains.
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Take the next step in your career now, scroll down to read the full role description and make your application.
GXO Logistics Supply Chain Inc.
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 FinOps 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 FinOps 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 MyBenefits 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 FinOps 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 FinOps Cloud Engineering role, with strong hands-on delivery experience
Experience in cloud cost management, FinOps, 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. xwzovoh
We engineer faster, smarter, leaner supply chains.