Negotiable
Undetermined
Remote
Remote
Summary: The AWS FinOps Engineer role requires a highly skilled professional with 5 to 10 years of experience in cloud cost management and financial operations, specifically focused on AWS spend optimization. The candidate will collaborate with engineering, finance, and business stakeholders to enhance cloud cost visibility and accountability. Key responsibilities include monitoring AWS spend, optimizing costs, and developing forecasting models. The position emphasizes the use of AWS-native FinOps practices and tools for effective financial management.
Key Responsibilities:
- Monitor and analyze AWS cloud spend using AWS Cost Explorer, AWS Budgets, and Cost & Usage Reports (CUR).
- Identify cost trends, anomalies, waste patterns, and optimization opportunities.
- Create daily, weekly, and monthly cost reports and provide actionable spend insights to stakeholders.
- Optimize AWS spend using Savings Plans, Reserved Instances, and Spot Instances.
- Perform workload analysis for utilization, coverage, and commitment recommendations.
- Implement rightsizing strategies for EC2, RDS, EBS, and Kubernetes workloads.
- Recommend purchase strategies based on usage patterns.
- Build cloud cost budgets aligned with business goals and create forecasting models using historical usage trends.
- Define monthly budgets, project-level cost limits, and department-level spend targets.
- Configure budget alerts and anomaly notifications.
- Design and implement chargeback models and showback frameworks.
- Allocate costs across teams, applications, cost centers, and business units.
- Develop dashboards and executive reports using SQL, Python, Excel, Amazon QuickSight, Microsoft Power BI, and Tableau.
- Develop automated cost-control workflows and automate idle resource cleanup, scheduling policies, and reporting jobs.
- Define and enforce tagging standards and implement mandatory tags.
- Work closely with cloud engineering teams, finance teams, product owners, and leadership to drive cost accountability initiatives.
Key Skills:
- AWS Cost Explorer
- AWS Budgets
- Cost & Usage Reports (CUR)
- Savings Plans
- Reserved Instances
- Spot Instances
- Rightsizing
- SQL
- Python
- Excel
- QuickSight / Power BI / Tableau
- Chargeback / Showback
- Tagging governance
- Athena queries on CUR datasets (preferred)
- Cost anomaly detection (preferred)
- AWS Organizations / multi-account billing (preferred)
- FinOps maturity frameworks (preferred)
- Engineering-finance stakeholder management (preferred)
Salary (Rate): £37.50 hourly
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Duration: 6 Months Contract
Experience: 5 10 Years
- Monitor and analyze AWS cloud spend using:
- AWS Cost Explorer
- AWS Budgets
- Cost & Usage Reports (CUR)
- Identify:
- cost trends
- anomalies
- waste patterns
- optimization opportunities
- Create daily / weekly / monthly cost reports
- Provide actionable spend insights to stakeholders
- Optimize AWS spend using:
- Savings Plans
- Reserved Instances
- Spot Instances
- Perform workload analysis for:
- utilization
- coverage
- commitment recommendations
- Implement rightsizing strategies for:
- EC2
- RDS
- EBS
- Kubernetes workloads
- Recommend purchase strategies based on usage patterns
- Build cloud cost budgets aligned with business goals
- Create forecasting models using historical usage trends
- Define:
- monthly budgets
- project-level cost limits
- department-level spend targets
- Configure budget alerts and anomaly notifications
- Design and implement:
- chargeback models
- showback frameworks
- Allocate costs across:
- teams
- applications
- cost centers
- business units
- Support financial accountability and cost ownership
- Develop dashboards and executive reports using:
- SQL
- Python
- Excel
- Amazon QuickSight
- Microsoft Power BI
- Tableau
- Build KPI reporting for:
- monthly spend
- cost by team
- savings achieved
- trend forecasting
- Develop automated cost-control workflows
- Automate:
- idle resource cleanup
- scheduling policies
- stop/start automation
- reporting jobs
- Use Python / SQL for data processing and reporting automation
- Define and enforce tagging standards
- Implement mandatory tags such as:
- Application
- Environment
- Cost Center
- Owner
- Department
- Improve cost attribution accuracy
- Audit untagged resources
- Work closely with:
- cloud engineering teams
- finance teams
- product owners
- leadership
- Drive cost accountability initiatives
- Support optimization workshops and governance reviews
- AWS Cost Explorer
- AWS Budgets
- Cost & Usage Reports (CUR)
- Savings Plans
- Reserved Instances
- Spot Instances
- rightsizing
- SQL
- Python
- Excel
- QuickSight / Power BI / Tableau
- chargeback / showback
- tagging governance
- Athena queries on CUR datasets
- cost anomaly detection
- AWS Organizations / multi-account billing
- FinOps maturity frameworks
- engineering-finance stakeholder management