At a Glance
- Tasks: Optimise cloud environments and turn data into actionable insights for smarter business decisions.
- Company: Join GXO, a leading provider of innovative supply chain solutions.
- Benefits: Up to £56,000 salary, 25 days leave, private medical insurance, and more perks.
- Other info: Dynamic team culture with a commitment to diversity and inclusion.
- Why this job: Make a real impact on cloud financial management and drive innovation.
- Qualifications: Experience in FinOps, cloud cost management, and data analysis required.
The predicted salary is between 45149 - 55183 £ per year.
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 Engineer 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 GXO’s 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. You’ll 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:
- Salary of up to £56,000 per annum
- 25 days annual leave (plus bank holidays)
- Company sponsored pension scheme
- Private medical & dental insurance
- 24/7 online GP service
- Life assurance
- Fully comprehensive employee assistance programme
- A variety of high street discounts
- A cycle to work scheme
- Cashback cards
- A saving scheme
You’ll 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 you’ll 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.
GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team – energetic, innovative people of all experience levels and talents who make GXO a great place to work.
GXO is an equal opportunity employer. We celebrate, support and thrive on diversity and are committed to creating an inclusive environment for all employees. We believe that diversity and inclusion in our business is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. We are an Armed Forces friendly organisation and Disability Confident Leader as part of the Disability Confident Scheme (GIS) and actively welcome applications from people with disabilities.
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed.
Cloud Finops Engineer in Northampton employer: GXO Logistics, Inc.
GXO Logistics is an exceptional employer, offering a supportive work culture that prioritises employee well-being and development. With competitive pay and a comprehensive benefits package, including holiday entitlement and bonuses, our Portbury location provides a dynamic environment for Class 2 drivers to thrive while delivering outstanding customer service. Join us for meaningful work that not only values your contributions but also invests in your growth through training opportunities.
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We think this is how you could land Cloud Finops Engineer in Northampton
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We think you need these skills to ace Cloud Finops Engineer in Northampton
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
