AWS Cloud Optimization Engineer

Experian

2d•Remote

About The Position

Experian is seeking an analytical and collaborative AWS DevOps professional to manage, evaluate, and optimize AWS cloud usage and costs across multiple applications. This role requires a blend of technical AWS knowledge and strong analytical thinking to identify cost optimization opportunities while ensuring performance, scalability, and reliability. The successful candidate will collaborate with engineering, DevOps, and application teams to influence design and operational decisions, fostering sustainable cloud cost practices. The position reports to the Director of DevOps.

Requirements

4+ years of hands‑on experience working with AWS services in a DevOps, cloud engineering, or architecture‑focused role.
Solid understanding of AWS cost drivers, including services such as EC2, RDS, S3, EKS/ECS, Lambda, networking, and data platforms.
Experience analyzing cloud usage data and turning insights into actionable cost optimization recommendations.
Knowledge of modern application architectures, including containers, microservices, and cloud‑native deployment patterns.
Familiarity with AWS cost management tools such as Cost Explorer, budgets, and reporting or analytics dashboards.
Strong communication and collaboration skills, with the ability to explain both technical and financial concepts to diverse audiences.

Responsibilities

Analyze AWS usage and cost data across applications and environments to understand spend drivers and trends.
Identify and implement cost optimization opportunities such as rightsizing, scheduling, storage optimization, and removing unused resources.
Partner with application teams, architects, and engineers to recommend cost‑efficient architecture and operational improvements.
Review application infrastructure and cloud designs to ensure AWS services are used effectively and responsibly.
Create dashboards, reports, and KPIs that provide clear visibility into cloud spend, savings, and anomalies.
Promote and support FinOps best practices, including governance, tagging standards, forecasting, and ongoing cost accountability.