Remote Staff Engineer, FinOps & Cost Platform

FinOps Weekly; Northern (KY); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health benefits from day one

Work from home reimbursements

Retirement/401K/Pension

Paid time off

Parental leave

WeWork memberships (optional)

Training & onboarding program

Conferences, courses, books etc

Job summary

StackAdapt is seeking a Staff Engineer, FinOps & Cost Platform to build and lead our engineering cost-management capability. This founding IC role focuses on making engineering spend attributable, explainable, and actionable, across cloud infra and engineering-owned vendors.

You will drive cost attribution, tagging, and data quality, and in the near term drive measurable savings while enabling showback, chargeback, and unit-cost models for services and customer footprints.

Qualifications

• Requires strong infrastructure or platform engineering background.
• Proven experience with AWS or comparable cloud environments.
• Experience in cost optimization or FinOps-like work.
• Hands-on with building tooling, dashboards, or internal platforms.

Responsibilities

• Build the internal cost platform and reporting model for engineering spend.
• Own analysis and optimization of cloud spend and engineering-owned vendors.
• Improve cost attribution, tagging, and data quality.
• Define and implement showback, chargeback, and unit-cost models.
• Partner with engineering, finance, and procurement on forecasting and governance.
• Design telemetry-backed cost models linking infra spend to usage.

Skills

Infrastructure

Platform engineering

AWS / cloud

FinOps / cost optimization

Data modeling

Tooling / dashboards

Cross-functional influence

Communication

Tools

Telemetry & cost-modeling tools

Job description

StackAdapt is seeking a Staff Engineer, FinOps & Cost Platform to build and lead our engineering cost-management capability. This founding IC role focuses on making engineering spend attributable, explainable, and actionable, across cloud infra and engineering-owned vendors.

You will drive cost attribution, tagging, and data quality, and in the near term drive measurable savings while enabling showback, chargeback, and unit-cost models for services and customer footprints.