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Cloud Cost Optimisation Engineer; AWS

Remote / Online - Candidates ideally in
City of Rochester, Rochester, Monroe County, New York, 14602, USA
Listing for: FinOps Weekly
Remote/Work from Home position
Listed on 2026-11-02
Job specializations:
  • IT/Tech
    AWS, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 60249 - 66943.5 USD Yearly USD 60249.00 66943.50 YEAR
Job Description & How to Apply Below
Position: Cloud Cost Optimisation Engineer (AWS)
Location: City of Rochester

This position is for a Cloud Cost Optimisation Engineer focused on AWS environments, based in London or remote. The role exists to help customers understand cloud spend, identify cost drivers, and find opportunities to improve efficiency and reduce unnecessary expenditure.

The successful candidate will work with data from AWS usage and costs, produce reports and dashboards, and support spend analysis alongside experienced Fin Ops engineers. The role also involves working closely with cloud engineering, support, and managed services teams.

This is a good opportunity for someone with AWS knowledge who wants to build experience in cloud financial management. Prior Fin Ops specialism is not required, but a strong interest in data, cost analysis, and customer-facing work is important.

Key Responsibilities
  • Analyse AWS usage and cost data to identify spending patterns and anomalies.
  • Produce customer cost reports, maintain dashboards, and highlight trends.
  • Identify opportunities to reduce cloud spend and improve resource efficiency.
  • Support analysis of Reserved Instances, Savings Plans, and resource utilisation.
  • Assist with customer budgets, forecasts, and spend tracking.
  • Explain cloud cost findings and optimisation opportunities to customers.
  • Support regular customer reviews with experienced Fin Ops engineers.
  • Improve reporting processes and help automate routine tasks.
  • Work with cloud engineering, support, and managed services teams.
Required Skills
  • Practical experience with AWS, cloud infrastructure, technical support, or a related discipline.
  • Understanding of AWS services such as EC2, RDS, and S3, including the factors that influence their cost.
  • Strong analytical skills and confidence working with data.
  • Competent Excel skills and the ability to produce accurate reports.
  • Clear communication skills and interest in working with customers.
  • Proactive approach, attention to detail, and willingness to learn.
Preferred Skills
  • Experience with AWS Cost Explorer, AWS Budgets, or Cost Anomaly Detection.
  • Experience in cloud cost reporting, forecasting, or financial analysis.
  • Knowledge of AWS tagging, cost allocation, and resource optimisation.
  • Familiarity with Reserved Instances and Savings Plans.
  • Experience with Power BI, Amazon Quick Sight, or other reporting tools.
  • AWS or Fin Ops certifications.
AWS Services
  • EC2
  • RDS
  • S3
  • AWS Cost Explorer
  • AWS Budgets
  • Cost Anomaly Detection
Reporting & BI
  • Power BI
  • Amazon Quick Sight
Productivity Tools
  • Excel
Fin Ops Responsibilities
  • Analyse cloud usage and cost data to understand spend patterns.
  • Produce customer-facing cost reports and maintain dashboards.
  • Identify cost reduction opportunities and resource efficiency improvements.
  • Support Reserved Instances and Savings Plans analysis.
  • Assist with budgeting, forecasting, and spend tracking.
  • Help customers understand cloud costs and optimisation options.
  • Improve reporting workflows and explore automation opportunities.
  • Salary range of £45,000 to £50,000.
  • London or remote working options.
  • Sponsorship cannot be offered.
Why You Might Be Interested

This role offers a practical route into cloud cost optimisation and Fin Ops for someone with AWS experience who wants to build deeper expertise. It combines data analysis, customer communication, and reporting work in a role with direct exposure to cloud spending decisions. You will also have the chance to support optimisation work across Reserved Instances, Savings Plans, and resource usage, while collaborating with experienced Fin Ops engineers and wider technical teams.

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