Architect, Cloud Computing: Infrastructure & Operations

Job Title

Experience:

10 years

Traditional Cloud & Compute Optimization

AWS Commitment Optimization

Container Cost Allocation

Architectural Efficiency

Fin Ops for AI & Tokenomics

Governance Tokenomics Lifecycle Management

GenAI Cost Control & Inference & AI for Fin Ops

Operations Intelligent Automation

Non-Deterministic Forecasting

3+ years of direct experience in Fin Ops, Cloud Cost Management, and Cost Optimization, with a heavy emphasis on the AWS ecosystem.

1+ years of practical experience managing AI/ML infrastructure costs or governing LLM/GenAI token pipelines.

7+ years of overall experience in cloud computing, infrastructure engineering, or IT financial management.

Deep Technical Vocabulary:
Clear understanding of AI infrastructure primitives, including GPU right-sizing, vector database scaling, context window economics, and prompt caching strategies.

Financial Literacy:
Ability to converse fluently with corporate CFOs regarding Cap Ex/OpEx shifts, TCO/ROI scenario analysis, and shifting metrics from "total token burn" to "value delivered per token."

Framework Mastery:
Familiarity with the Fin Ops Framework (Inform, Optimize, Operate) and the newly emerging open standards from the Tokenomics Foundation and FOCUS (Framework for Open Cost Code).

Certifications (Required):
Fin Ops Certified Practitioner (FCP) or Fin Ops Certified Professional. AWS Certification (e.g., AWS Certified Solutions Architect Associate or Sys Ops Administrator).

Desirables Fin Ops Foundation AI Value or Technology Value Certifications. Strong background in building data visualization pipelines. Academic background in Business, Finance, Data Science, or Computer Science.