Staff AWS Cost-Optimization Engineer with AI tooling

Infor; Atlanta (GA); Presencial; USD 140.000 - 210.000; Tempo integral

Resumo da vaga

Infor is seeking a Staff Software Engineer to design and build AI‑driven tooling that optimizes AWS spend across development and product estates. The role focuses on embedding cost intelligence into the software development lifecycle and creating automated cost‑control mechanisms used by hundreds of engineering teams.

You will lead the development of cost‑aware tooling, contribute to executive dashboards, and collaborate with the FinOps team to translate cost strategy into working software.

Qualificações

• 8+ years of professional software engineering experience building and operating production systems and internal tooling or platforms.
• Expert‑level proficiency in at least one modern language used for tooling and automation, such as Python, Java, or Go.
• Deep, hands‑on AWS experience, including cost and billing services (Cost Explorer, Cost and Usage Report, Budgets), IAM, Lambda, and tagging strategy.
• Proven experience building automation and data pipelines, and integrating tooling into CI/CD and the SDLC.
• Working knowledge of cloud cost and unit economics (showback, chargeback, cost attribution) is a plus, but this role builds the tooling; a dedicated FinOps team owns the financial reporting.
• Practical experience integrating or building with LLMs or AI agents, and a clear understanding of token and inference cost drivers.
• Strong technical project management instincts: you can scope, sequence, and drive cross‑team work to completion, and communicate clearly with both engineers and executives.
• Ability to work from an Infor Hub in Dallas, TX or Atlanta, GA, with a daily overlap of 10:00 AM to 3:00 PM EST.
• Bachelor's degree in computer science or a related field, or equivalent practical experience.

Responsabilidades

• Design and build AI tooling and agents that monitor, forecast, and auto‑resolve cloud cost issues across AWS accounts, with a focus on AI and GPU inference spend.
• Integrate cost guardrails directly into the SDLC and CI/CD pipelines so that cost overruns are caught at commit, build, and deploy time rather than on a monthly bill.
• Build the detection‑to‑remediation loop: anomaly detection, root‑cause attribution, and automated actions such as budget enforcement, right‑sizing, and policy checks.
• Instrument workloads at the account and API level, model token and inference economics, and turn findings into org‑wide best practices and reusable tooling.
• Extend cost attribution and reporting so spend maps cleanly to teams and business outcomes, and surface it in executive dashboards.
• Partner hands‑on with engineering teams across hundreds of organizations, meeting them in their own codebases and pipelines, to embed cost tooling that accelerates their delivery timelines forward instead of slowing them down.
• Collaborate with Infor's internal FinOps team to translate cost strategy into working software, and with platform teams on centralized controls such as Service Control Policies, budget gateways, and account guardrails.
• Act as the technical project lead for your workstream: shape the roadmap, break down the work, drive it through others, and keep stakeholders and executive team aligned without needing to be told what to do next.

Conhecimentos

Python

Java

Go

AWS

CI/CD

Automation

LLMs/AI

Formação

Bachelor's degree in computer science or related field

Ferramentas

Terraform

CloudFormation

ECS

EKS

Kubernetes

AWS Bedrock

Service Control Policies

Descrição da vaga

Infor is seeking a Staff Software Engineer to design and build AI‑driven tooling that optimizes AWS spend across development and product estates. The role focuses on embedding cost intelligence into the software development lifecycle and creating automated cost‑control mechanisms used by hundreds of engineering teams.

You will lead the development of cost‑aware tooling, contribute to executive dashboards, and collaborate with the FinOps team to translate cost strategy into working software.