2 days ago
Responsibilities
- Design and build AI tooling and agents that monitor, forecast, and automatically resolve AWS cloud cost issues, including AI and GPU inference spend.
- Integrate cost guardrails into development and deployment workflows so cost overruns are detected at commit, build, and deployment time.
- Build anomaly detection, root-cause attribution, budget enforcement, right-sizing, and policy-check automation.
- Instrument workloads at account and API levels, model token and inference economics, and develop reusable enterprise tooling.
- Extend cost attribution and reporting so spending maps to teams and business outcomes and appears in executive dashboards.
- Embed cost tooling across engineering organizations and codebases to improve delivery velocity.
- Collaborate with FinOps and platform teams on centralized controls, policies, budget gateways, and account guardrails.
- Lead the technical workstream by shaping the roadmap, sequencing work, coordinating cross-team delivery, and aligning stakeholders and executives.
Requirements
- 8+ years of professional software engineering experience building and operating production systems, internal tooling, or platforms.
- Expert-level proficiency in at least one modern tooling and automation language, such as Python, Java, or Go.
- Deep hands-on AWS experience, including Cost Explorer, Cost and Usage Report, Budgets, IAM, Lambda, and tagging strategy.
- Experience building automation and data pipelines and integrating tooling into software development and deployment workflows.
- Practical experience integrating or building with LLMs or AI agents and understanding token and inference cost drivers.
- Strong technical project management skills, including scoping, sequencing, cross-team execution, and communication with engineers and executives.
- Bachelor's degree in computer science or a related field, or equivalent practical experience.
- Preferred: enterprise software architecture experience.
- Preferred: experience optimizing AI and GPU inference costs, including model-tier selection, prompting, caching, and budget enforcement.
- Preferred: experience with agentic frameworks and multi-agent pipelines with human review gates.
- Preferred: experience with AWS Bedrock, Service Control Policies, and centralized budget or gateway enforcement at scale.
- Preferred: infrastructure-as-code experience with Terraform or CloudFormation and container platforms including ECS, EKS, or Kubernetes.
- Preferred: experience operating in a large multi-account, multi-team enterprise AWS environment.
- Ability to work from an Infor Hub in Dallas, Texas, or Atlanta, Georgia, with daily overlap from 10:00 AM to 3:00 PM EST.
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About Infor
Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation. Here are some key insights: • 60,000+ customers • 100+ offices • 1,700+ support experts • 2,000+ partners • 17,000+ employees • 175+ countries where customers are located • 15,000+ cloud customers • 40+ countries with Infor offices