Lead AWS Cloud Cost Optimization Engineer

Sorry, this position is no longer available
Chile
We're seeking a Lead AWS Cloud Cost Optimization Engineer to become part of our remote team.
The perfect fit would be someone who has hands-on DevOps or SRE experience, as well as an in-depth understanding of cost analysis and optimization in large AWS environments. A passion for data analysis is a must. The role involves collaborating with different teams across the organization to enhance the visibility of cloud spending. This will be done by creating a data-driven approach for alerting, reporting, and optimizing cloud costs.
Responsibilities
- Discovery of optimization opportunities that maximize ROI on cloud resources and the pursuit of making cloud infrastructure cost-efficient
- Comprehensive understanding of the client’s product, how it's architected and deployed in the cloud, and the associated costs for each segment of the environment
- Provision of advice on architecture and resource optimization, waste management, and capacity management
- Investigation and monitoring of increases in Cloud costs and other usage anomalies
- Tracking of cloud reservation/savings plans use and collaboration with teams to re-allocate freed up capacity
- Extraction of insightful knowledge from data patterns and anomalies to guide strategic and operational decisions
- Recommendation and tracking of savings opportunities related to cloud commitment purchases and commitments
- Formulation of plans for optimization and automation of cost and cost compliance reporting
- Creation, maturation, automation, and governance of Cost Optimization policies and best practices
- Reporting of KPIs and recommended savings opportunities
- Partnership with engineering teams to ensure cost improvements are effective
Requirements
- At least 5 years of experience in AWS cloud cost optimization and management
- A minimum of 1 year of relevant leadership experience
- In-depth knowledge of AWS Cloud Adoption Framework, AWS Cost Explorer, Amazon EC2, Amazon Elastic Kubernetes Service, and Amazon S3
- Proficiency in Python for data analysis and automation
- Experience with containerization technologies for cloud deployment
- A strong understanding of cloud cost optimization best practices and strategies
- The ability to track and manage cloud reservation/savings plans and commitments
- The capability to develop, modify, and maintain cloud costs and utilization reports, dashboards, and cost usage alerting and forecasting
- Excellent verbal and written communication skills in English (B2+)
Nice to have
- Familiarity with AWS Budgets, AWS Lambda, Amazon CloudWatch, Datadog, New Relic Infrastructure, and Smartsheet
- Experience with AWS Spot Instances and Committed/Sustained use
- Knowledge of cloud commitment purchases like Reserved Instances and Savings Plans
Benefits
- International projects with top brands
- Work with global teams of highly skilled, diverse peers
- Healthcare benefits
- Employee financial programs
- Paid time off and sick leave
- Upskilling, reskilling and certification courses
- Unlimited access to the LinkedIn Learning library and 22,000+ courses
- Global career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn