Senior Engineer, FinOps, DevOps

Role Overview

• 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.
• 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.
• 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.

Requirements

• 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.

Tech Stack

• AWS
• Azure
• Cloud
• EC2
• Google Cloud Platform
• Python
• Terraform