Senior AI Cost Optimization Engineer

Infor

Atlanta (GA)

On-site

USD 150,000 - 210,000

Full time

6 days ago
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Job summary

Infor in Atlanta is seeking a seasoned software engineer to build AI-driven tooling that optimizes AWS spend across our development and product estate. You will write code, create automation, and embed cost intelligence into the software delivery lifecycle.

You'll partner with the internal FinOps team and platform owners to enforce budgets, guardrails, and centralized controls, delivering measurable velocity and cost visibility across hundreds of engineering teams.

Qualifications

  • 8+ years of professional software engineering experience.
  • Expert-level proficiency in Python, Java, or Go.
  • Deep AWS experience including cost and billing services, IAM, Lambda, tagging.
  • Proven automation and data-pipeline experience integrated into CI/CD/SDLC.
  • Experience with LLMs or AI agents and cost drivers.
  • Strong technical PM instincts to scope and drive multi-team work.

Responsibilities

  • Design and build AI tooling that monitors, forecasts, and auto-resolves AWS cost issues across accounts.
  • Integrate cost guardrails into the SDLC and CI/CD pipelines.
  • Develop detection-to-remediation loops with anomaly detection and automated actions.
  • Instrument workloads, model costs, and translate findings into reusable tooling.
  • Partner with FinOps and platform teams to enforce budgets and guardrails.
  • Lead the workstream roadmap and coordinate across engineers and executives.

Skills

Python/Java/Go
AWS
CI/CD
LLMs/AI agents
Technical PM skills

Education

Bachelor's degree in computer science or related field

Tools

Terraform
ECS/EKS/Kubernetes
Cost Explorer/Cost & Usage Report

Job description

Infor in Atlanta is seeking a seasoned software engineer to build AI-driven tooling that optimizes AWS spend across our development and product estate. You will write code, create automation, and embed cost intelligence into the software delivery lifecycle.

You'll partner with the internal FinOps team and platform owners to enforce budgets, guardrails, and centralized controls, delivering measurable velocity and cost visibility across hundreds of engineering teams.

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