AWS Cloud Cost Optimization Architect- 15+ yrs- Jersey City, United States- Onsite

Job Description :

The Senior Cloud Infrastructure Architect leads the Infrastructure Optimization agenda. Working closely with the Infrastructure leadership team, this role architects and drives cost-reduction initiatives across portfolio teams. 10+ years of total IT experience, including 5+ years as a cloud/infrastructure architect or senior engineer, backed by the ability to influence and align multiple engineering teams and senior leadership on cross-portfolio initiatives. Define and drive the infrastructure optimization strategy and roadmap, partnering with Infrastructure leadership, portfolio teams, and Finance. Review EC2 utilization across portfolios and lead right-sizing recommendations and implementations. Define and enforce non-prod environment standards, including migrating/mandating EC2 workloads in non-prod to cost-efficient options (e.g., Spot, scheduled shutdown, ephemeral environments). Baseline EC2 usage and recommend AWS Savings Plans / Reserved Instance purchases to maximize coverage and minimize waste. Plan and coordinate EKS upgrades across teams to avoid EKS extended support charges. Build cost visibility, tagging, showback/chargeback, and dashboards to track spend, savings, and unit economics. Quantify the impact of right-sizing and optimization initiatives, and take ownership of implementations. Produce architecture standards, specifications, and automation (IaC) that embed cost-efficiency into the development lifecycle. Mentor engineers and influence senior stakeholders on cost-aware architecture decisions. Deep hands-on experience with AWS at enterprise scale, specifically EC2, EKS, VPC, EBS/S3, IAM, and Auto Scaling. Proven track record of reducing cloud spend through EC2 right-sizing, Savings Plans/Reserved Instances/Spot strategy, and non-prod environment optimization. Working knowledge of FinOps practices including tagging strategy, showback/chargeback, unit economics, budgets, and anomaly detection.Extensive Kubernetes/EKS experience including cluster lifecycle management, upgrade planning, node autoscaling (Karpenter/Cluster Autoscaler), and bin-packing/cost allocation. Hands-on experience with Terraform (preferred) or CloudFormation, along with CI/CD automation.