Kustomer is looking for an Infrastructure Engineer to own cost optimization across our cloud and AI infrastructure. This role is mostly focused on driving down our AWS/infra and AI token spend, while keeping an eye on the AI tooling ecosystem that powers our platform. You'll sit on our Foundation team, partnering closely with engineering leadership to find, prioritize, and execute cost-saving initiatives without sacrificing performance or reliability.
🏢 About Kustomer
Kustomer is the industry leading conversational CRM platform perfecting every customer experience. Built with intelligent tools such as AI and Automation, no code-configuration and a connected data platform that unifies data from multiple sources through a single timeline, Kustomer empowers businesses to operate with greater efficiency and deliver more personalized service to customers across any channel, making every interaction more meaningful and memorable. Today, Kustomer is the core platform for some of the leading customer service brands like Sweetgreen, Starz, Vuori, Resy and Cotopaxi.
🎯 The Role
Kustomer is looking for an Infrastructure Engineer to own cost optimization across our cloud and AI infrastructure. This role is mostly focused on driving down our AWS/infra and AI token spend, while keeping an eye on the AI tooling ecosystem that powers our platform. You'll sit on our Foundation team, partnering closely with engineering leadership to find, prioritize, and execute cost-saving initiatives without sacrificing performance or reliability.
✅ Key Responsibilities
Infrastructure & Cloud Cost Optimization
Own AWS cost optimization end-to-end: EC2 right-sizing, Reserved Instances/Savings Plans, spot usage, storage tiering, and unused resource cleanup
Build dashboards and reporting to track infra spend by team/service, and flag anomalies before they become expensive
Partner with engineering teams to identify and eliminate waste, think idle resources, over-provisioned instances, redundant environments
Drive architectural decisions that balance cost, performance, and reliability
Use Terraform to codify and enforce cost-conscious infrastructure standards
AI Token Spend Optimization
Analyze and reduce AI/LLM token spend across our AI-native platform, model right-sizing, prompt efficiency, caching, and routing strategies
Work with our Foundations team on developer tooling to build guardrails and observability around token usage
Evaluate deterministic vs. generative tool selection tradeoffs from a cost lens, and recommend where cheaper approaches can do the same job
Support Kustomer's AI capabilities (Architect, Concierge, Envoy) by keeping them performant and cost-efficient
Cross-Team Collaboration
Report on cost trends and savings opportunities directly to engineering leadership
Proactively identify systemic inefficiencies and build the tooling to keep them from creeping back
Collaborate with FinOps/finance stakeholders to forecast and track spend against budget, while driving alignment across engineering teams that balances developer input without sacrificing speed and momentum
📌 Required Qualifications
Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience
4+ years of experience with AWS infrastructure at scale, with a strong track record of driving down cloud costs
Hands-on experience with AWS cost tools (Cost Explorer, Cost and Usage Reports, Trusted Advisor, etc.) and EC2 right-sizing/reservation strategies
Proficiency with Terraform or other Infrastructure as Code tools, and a high-level programming language such as Go, Python, or JavaScript
⭐ Desirable Experience
Familiarity with LLM/AI infrastructure cost drivers (token usage, model pricing, caching strategies) is a strong plus
You think in dollars saved, not just tickets closed
🎁 Benefits
HIPAA Compliance All roles at Kustomer may involve handling sensitive personal data.
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