Cloud FinOps Engineer (IGT1)

• Design and Implement Governance: Design and implement automated cost governance using AWS-native tooling: AWS config, SSM Runbooks, AWS Budgets, Cost Anomaly Detection, Compute Optimizer, Trusted Advisor, and AWS Lambda.
• Serverless Automation: Build and maintain serverless automation (Lambda functions, EventBridge rules, Step Functions) to enforce cost policies at scale, including auto-stopping idle environments, cleaning up orphaned resources, and triggering remediation workflows.
• Tagging Strategy & IaC: Own and enforce the cloud tagging strategy through Infrastructure as Code (Terraform); develop and maintain reusable modules that embed tagging standards, resource naming conventions, and cost guardrails into every deployment.
• Pipeline Cost Checks: Implement pre-deployment cost checks in CI/CD pipelines to catch costly misconfigurations before they reach production (e.g., oversized instance types, missing tags, unencrypted storage).
• Cross-Team Optimization: Collaborate with DevOps and SRE teams to rightsize compute (EC2, ECS, EKS), optimize storage lifecycle policies (S3, EBS), and redesign data transfer patterns to reduce egress costs.
• Data Pipeline Support: Support the FinOps Manager in delivering monthly cost reporting by building and maintaining automated data pipelines from AWS CUR (Cost and Usage Report) into dashboards and alerting systems.

Minimum qualifications

• 3+ years of experience as a DevOps Engineer, SRE, or Cloud Infrastructure Engineer with a strong AWS background.
• Hands-on proficiency with Infrastructure as Code, specifically Terraform; you are comfortable writing modules, managing state, and submitting PRs to production infrastructure repos.
• Practical experience writing AWS Lambda functions and event-driven automation using Python, Go, or Node.js; you know how to trigger, schedule, and monitor serverless workflows.
• Strong understanding of the AWS cost model: you know the difference between instance families, storage tiers, data transfer pricing, and when to use Spot vs. On-Demand vs. Reserved capacity.
• Experience operating in multi-account AWS environments (AWS Organizations, cross-account IAM roles, CloudFormation stack set deployments org wide).

Preferred qualifications

• Familiarity with FinOps tooling (e.g., Cudo, CloudHealth, Kubecost, Vantage) and experience integrating these with AWS-native services.
• Experience with Kubernetes (EKS) cost allocation, including pod resource requests and limits, Karpenter or Cluster Autoscaler, and namespace-level cost visibility.
• Working knowledge of AWS Cost Anomaly Detection, AWS Budgets Actions, and Compute Optimizer recommendation APIs.
• Exposure to observability and monitoring tools (Datadog, CloudWatch, Prometheus) to validate that cost optimizations do not degrade performance.
• AWS Certified Solutions Architect (Associate) or FinOps Certified Practitioner (or willingness to achieve within 6 months).

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