Senior Engineer, FinOps & DevOps

Key Responsibilities

• Cost Visibility & Allocation 
• Develop and maintain cost allocation, budgeting, and chargeback models across cloud accounts (AWS, Azure, GCP). 
• Implement and enforce tagging and resource hierarchy standards, ensuring >90% coverage for cost-critical tags (e.g., Application, Environment, Cost Center). 
• Build and publish cost visibility dashboards and reports using Power BI, QuickSight, Looker, or other FinOps tooling. 
• Support unified multi-cloud cost reporting and forecasting for engineering and finance teams. 
• Optimization & Engineering 
• Execute rightsizing, scheduling, and lifecycle management of cloud resources across AWS, Azure, and GCP (EC2, VM, GCE, RDS, S3, Storage, Networking). 
• Manage and optimize Reservations, Savings Plans, Committed Use Discounts (CUDs), and licensing benefits (BYOL, AHB). 
• Implement policy-as-code and governance using tools like Terraform, AWS Config, Azure Policy, or GCP Organization Policies. 
• Participate in anomaly detection, spend forecasting, and automation of remediation workflows. 
• Contribute to CI/CD pipeline management, infrastructure automation, and GitOps practices using Azure DevOps, GitHub Actions, AWS CodePipeline, or Google Cloud Build. 
• Operate & Partner 
• Provide actionable insights in monthly cost and performance reviews with engineering and product stakeholders. 
• Partner with Finance and Procurement teams on budgeting, forecasting, and billing validation. 
• Collaborate with SRE and Platform teams to balance cost efficiency, performance, and reliability. 
• Maintain operational hygiene through scripting, compliance audits, and automation. 
• Core Tech Stack 
• Cost & Governance: 
• AWS Cost Explorer, Budgets, and Config; Azure Cost Management + Billing; GCP Billing Reports; FinOps tools such as Apptio Cloudability, CloudHealth, Kubecost, or Harness CCM. 
• Observability & Data: 
• CloudWatch, Azure Monitor, Stackdriver, Log Analytics, Power BI, QuickSight, Looker. 
• Infrastructure as Code & Automation: 
• Terraform, CloudFormation, Bicep, Deployment Manager, Azure DevOps, GitHub Actions, AWS CodePipeline, GCP Cloud Build, Ansible, PowerShell, Python.  
• Cloud Services Exposure: 
• AWS: EC2, RDS, S3, Lambda, EKS, CloudWatch. 
• Azure: VMs, App Services, Storage, Azure SQL, AKS, Databricks. 
• GCP: Compute Engine, Cloud Storage, BigQuery, Cloud Functions, GKE. 

Qualifications

• 3–6 years of experience in Cloud Engineering, Platform Operations, DevOps, or SRE, with 1–2 years in FinOps or Cloud Cost Optimization. 
• Hands-on experience with two or more major public clouds (AWS, Azure, GCP). 
• Proven skills in tagging strategy, cost reporting, and optimization techniques. 
• Familiarity with Reservations, Savings Plans, Committed Use Discounts, and rightsizing. 
• Experience with data visualization and reporting tools (Power BI, QuickSight, Looker). 
• Scripting proficiency (PowerShell, Python, or similar). 
• Exposure to Infrastructure as Code tools (Terraform, CloudFormation, Bicep) and DevOps automation. 
• Preferred Certifications: FinOps Certified Practitioner, AWS Solutions Architect – Associate, AZ-104, Google Cloud Engineer, or equivalent. 
• Top Expectations for an L2 Engineer 
• Execute tagging, cost optimization, and reporting activities under senior guidance. 
• Maintain accurate dashboards and deliver actionable cost insights. 
• Assist in implementing automation scripts, policy-as-code, and optimization playbooks. 
• Drive cost-awareness and accountability across engineering teams. 
• Contribute to SOPs and operational documentation. 
• Sample KPIs / OKRs 
• Achieve 10–15% cost savings across assigned workloads. 
• Maintain RI/SP/CUD coverage ≥ 60% with optimal utilization. 
• Sustain ≥ 90% tagging compliance. 
• Respond to cost anomaly alerts within defined SLAs. 
• Nice-to-Haves 
• Experience with multi-account, multi-project chargeback/showback models. 
• Exposure to hybrid environments or container platforms (VMware, Kubernetes). 
• Understanding of enterprise billing structures and consolidated invoicing models.