Sr Principal Finops/Devops Engineer – Cortex
| Company | Palo Alto Networks |
|---|---|
| Location | Santa Clara, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Expert or higher |
Requirements
- 10+ years of hands-on experience in GCP & AWS as a DevOps Engineer, SRE, or Cloud Engineer, with a strong focus on FinOps and cloud cost management.
- 5+ years of specialization in Cloud Resource Optimization, FinOps automation, and cloud financial governance.
- Strong programming skills in Python or Go for automation, cost analysis, and custom FinOps tooling.
- Experience with GCP & AWS cost APIs, billing dashboards, and data aggregation using ElasticSearch.
- Deep expertise in Terraform (IaC), cloud tagging strategies, and cost allocation models.
- Proven experience in cost modeling for budgeting, financial forecasting, and profitability analysis.
- Strong background in building financial reports and dashboards using Tableau, AWS Cost Explorer, and GCP Cost Management tools.
- Demonstrated success in collaborating with finance teams and leadership to drive strategic cost-saving initiatives and ensure financial efficiency.
Responsibilities
- Continuously monitor cloud usage (GCP, AWS, Azure) to identify cost-saving opportunities, enforce governance policies, and drive financial accountability.
- Develop and implement automated cloud cost optimization strategies, including rightsizing recommendations, commitment-based purchasing (Reserved Instances, Savings Plans, CUDs), and waste elimination.
- Establish structured FinOps processes for cloud cost governance, budgeting, forecasting, and cost allocation, ensuring adherence to financial targets.
- Provide data-driven insights and financial reports on cloud expenditures to support business decision-making. Develop dashboards, reports, and financial models to track cost trends and efficiency.
- Build financial models to analyze cloud spend in relation to revenue and profit margins. Assist finance teams in developing budget forecasts and cost projections for cloud infrastructure.
- Partner with Finance, Operations, and Engineering teams to define and implement cost control policies, pricing model adjustments, and accountability frameworks.
- Enforce tagging policies, cost allocation models, and budget alerts to improve transparency and cost attribution.
- Develop automation tools (Python, Go) for cost visibility, anomaly detection, and forecasting. Build real-time dashboards using AWS/GCP cost APIs, Tableau, and ElasticSearch.
- Ensure adherence to industry-leading FinOps frameworks, aligning cloud expenditures with business objectives.
Preferred Qualifications
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No preferred qualifications provided.