VP, Global Engineering and Automation Enablement

What We Need Corpay is seeking a  VP, Global Engineering and Automation Enablement to join our Vehicle Payments division within Corpay. In this role, the senior Technology Leader will own the architecture, scalability, and intelligent automation of our core FinTech platforms. This role is responsible for designing large‑scale, cloud‑native, distributed systems while leveraging AI‑driven automation to improve platform efficiency, reliability, and operational scale.   The ideal candidate combines deep expertise in platform architecture and distributed systems with a strong point of view on using AI to automate infrastructure operations, optimize performance, and enable predictive, self‑healing platforms. This is a highly technical leadership role with material influence over how the platform scales as the business grows.   How We Work  As a VP, Global Engineering and Automation Enablement, you will be expected to work in an onsite environment. Corpay will set you up for success by providing:    Company-issued equipment Formal, hands-on training    Role Responsibilities  The responsibilities of the role will include: Owning the end‑to‑end platform architecture supporting core FinTech products and transaction flows Defining architectural standards for scalability, performance, resiliency, and system composability Leading evolution from tightly coupled or monolithic systems toward distributed, service‑oriented platforms Establishing clear system boundaries, ownership models, and architectural governance Defining and executing a multi‑year platform roadmap aligned with growth, transaction scale, and product velocity Design platforms capable of handling high transaction volumes, burst traffic, and sustained throughput Guide horizontal scaling strategies across compute, storage, data, and messaging layers Lead architectural decisions around sharding, partitioning, caching, asynchronous processing, and concurrency Continuously improve latency, throughput, and resource efficiency across the platform Enabling multi‑region and multi‑environment scalability where required Architecting cloud platforms (AWS, Azure, or GCP) optimized for scale, availability, and operational efficiency Defining reference architectures for containerized workloads, microservices, and distributed runtimes Leading Kubernetes and container platform adoption and standardization Maturing Infrastructure as Code (Terraform, CloudFormation, etc.) for consistent, scalable environments Owning capacity modeling, growth forecasting, and infrastructure lifecycle planning Applying AI and machine learning techniques to automate platform operations and decision‑making Using AI for: Capacity forecasting and demand prediction Anomaly detection in platform performance and system behavior Automated root‑cause analysis and incident correlation Predictive scaling and infrastructure optimization Driving adoption of self‑healing platform patterns where systems can respond automatically to failure or degradation Enabling data pipelines, feature stores, and runtime environments required to support AI‑enabled platform services Partnering with data and engineering teams to productionize AI capabilities within core platform workflows Building shared platform capabilities that abstract complexity and enable product teams to scale independently Providing self‑service infrastructure, golden paths, and opinionated platform tooling Standardizing CI/CD, runtime environments, observability, and deployment patterns Reducing friction and cognitive load for application teams through strong platform design Measure and improve developer experience as a platform outcome Leading SRE practices focused on scalability, automation, and operational maturity Define and track SLIs/SLOs centered on throughput, latency, availability, and platform health Establishing advanced observability (metrics, tracing, logging) as inputs to AI‑driven insights Leading analysis of scaling failures, performance bottlenecks, and systemic inefficiencies Driving continuous improvement toward predictable, automated, and resilient operations Qualifications & Skills 10+ years of experience designing and operating large‑scale distributed systems 5+ years in senior technical leadership roles (Director, Principal, VP, or equivalent) Deep expertise in platform architecture, cloud‑native design, and system scalability Strong hands‑on experience with AWS, Azure, or GCP Proven experience with microservices, event‑driven architectures, and distributed data systems Solid background in Infrastructure as Code and automation‑first platform design Experience applying AI/ML concepts to operational or platform use cases Experience with high‑volume transaction processing or real‑time systems Strong Kubernetes and container platform experience Experience with event streaming platforms (Kafka or equivalent) Background modernizing legacy platforms at scale Experience with AI‑assisted operations, AIOps, or intelligent monitoring platforms    Benefits & Perks Medical, Dental & Vision benefits available the 1st month after hire Automatic enrollment into our 401k plan (subject to eligibility requirements) Virtual fitness classes offered company-wide Robust PTO offers including major holidays, vacation, sick, personal, & volunteer time Employee discounts with major providers (i.e. wireless, gym, car rental, etc.) Philanthropic support with both local and national organizations Fun culture with company-wide contests and prizes   Equal Opportunity/Affirmative Action Employer Corpay is an Equal Opportunity Employer. Corpay provides equal employment opportunities to all employees and applicants without regard to race, color, gender (including pregnancy), religion, national origin, ancestry, disability, age, sexual orientation, gender identity or expression, marital status, language, ancestry, genetic information, veteran and/or military status or any other group status protected by federal or local law. If you require reasonable accommodation for the application and/or interview process, please notify a representative of the Human Resources Department.