Senior FinOps Engineer: Cloud & AI Spend Optimizer

Archer; San Jose (CA); On-site; USD 133,000 - 200,000; Full time

Job summary

Archer, an aerospace company in San Jose, seeks a Senior FinOps Engineer to manage and forecast technology spend across cloud platforms, Datadog, and LLM services. You will build comprehensive reports, lead cost-saving initiatives, and partner with engineering to optimize architectures.

The role requires 3+ years in FinOps or cloud financial management, strong communication, and expertise with data tools (SQL, Python, Excel) and visualization platforms.

Qualifications

• 3+ years in FinOps, Cloud Financial Management, or similar role.
• Deep understanding of major public cloud billing models (AWS, Azure, GCP).
• Proven ability to build/maintain financial reports and dashboards for exec leadership.
• Experience with cost monitoring/observability tools; Datadog experience preferred.
• Proficiency in SQL, Python, Excel and data viz tools (Tableau/Power BI/Looker).
• Familiarity with contract negotiation and vendor management.

Responsibilities

• Monitor, analyze, and report technology spending across cloud/Datadog/LLM usage.
• Develop and maintain monthly financial reports and dashboards for leadership.
• Collaborate with engineering/product teams to optimize cost and usage.
• Establish KPIs and drive accountability for spending.
• Lead governance, policies, and training on cost management.

Skills

FinOps

Cloud billing

Reports & dashboards

Datadog usage/licensing

SQL

Python

Excel

Tableau

Power BI

Looker

Negotiation

Cost governance

Communication

Education

Bachelor’s degree in CS/Finance/Business or related

Tools

Datadog

Terraform

CloudFormation

Job description

Archer, an aerospace company in San Jose, seeks a Senior FinOps Engineer to manage and forecast technology spend across cloud platforms, Datadog, and LLM services. You will build comprehensive reports, lead cost-saving initiatives, and partner with engineering to optimize architectures.

The role requires 3+ years in FinOps or cloud financial management, strong communication, and expertise with data tools (SQL, Python, Excel) and visualization platforms.