Jobs at WEX Inc.

The Senior Financial Analyst manages strategic capital investment tracking, portfolio performance, financial modeling, and capital allocation analysis. Responsibilities include evaluating ROI, NPV, and IRR; developing business cases and scenario models; monitoring KPIs and revenue; preparing executive and board materials; partnering cross-functionally on investment decisions; and improving governance, reporting, and automation processes.

Leads architecture and hands-on development of WEX’s semantic data platform and Data-as-a-Service capabilities. Builds reusable semantic business objects, metadata and ontology frameworks, knowledge graphs, APIs, governance, lineage, quality, and data contracts. Solves distributed-systems and scalability challenges while enabling AI and agentic applications to use trusted enterprise data. Partners across engineering, product, analytics, risk, finance, and business teams; influences technical standards, drives adoption, mentors engineers, and remains involved in implementation.

Leads enterprise information security programs from planning through delivery, managing roadmaps, resources, dependencies, risks, reporting, and stakeholder communication. Coordinates Architecture, Engineering, Product, and Security teams on initiatives involving security controls, threat remediation, system consolidations, authentication, routing, infrastructure, and cloud security. Ensures regulatory alignment, change adoption, accurate Jira and Confluence reporting, and delivery against business objectives.

Build and operate a new full-stack payment and expense management platform from architecture through production. Develop backend services, APIs, data models, web and mobile capabilities, and partner integrations. Establish secure engineering, testing, observability, and production-readiness practices. Collaborate with product, design, security, and distributed engineering teams; review code, resolve complex issues, manage technical risks, mentor engineers, and own technical outcomes through continuous improvement.

Own the technical direction and delivery of WEX’s data acquisition platform. Build reusable, high-performance batch, CDC, and streaming ingestion services with schema validation, reconciliation, recovery, lineage, security, observability, and auditability. Lead architecture and code reviews, establish testing and CI/CD practices, mentor engineers, resolve cross-team dependencies, and support production escalations. The role requires hands-on development of scalable distributed systems and configuration-driven connectors.

The Staff Software Development Engineer will design and develop web applications, lead automation testing strategies, and collaborate on user experiences, utilizing strong front-end skills and full-stack exposure.

Lead the global Risk Operations initiative portfolio across Collections, Billing, Treasury, and related financial operations. Identify strategic initiatives, align projects with risk and customer experience goals, coordinate resources and timelines, oversee technology roadmaps, manage risks, and provide executive reporting. Facilitate cross-functional collaboration among technical, legal, audit, risk, sales, and account management teams while ensuring compliance and operational control integrity.

Design and own AI-powered services, multi-agent workflows, cloud infrastructure, integrations, and CI/CD pipelines. Lead architecture, reliability, security, incident response, and root-cause resolution. Partner with product managers on non-functional requirements and technical prioritization. Mentor engineers, conduct code reviews, facilitate design decisions, and promote internal adoption of AI tools and agentic technologies.

Own and scale a multi-cloud data platform across AWS and Azure. Manage Apache Airflow, Kubernetes, Terraform, Helm, ArgoCD, CI/CD, observability, big data infrastructure, governance tooling, and FinOps initiatives. Provide end-to-end architectural and operational ownership, improve developer tooling, define platform roadmaps, manage incidents, enforce engineering standards, and mentor data platform engineers.

The role involves designing and developing high-performance web apps, improving user interfaces, maintaining component libraries, and ensuring code quality through comprehensive testing and collaboration with other teams.

Lead and mentor a global SRE team while overseeing incident response, system health, availability, performance, monitoring, logging, automation, and capacity management. Develop reliability tooling, improve observability, support on-call operations, and partner with engineering and product teams on reliability-focused initiatives. The role also involves project leadership, compliance adherence, and proactive reduction of operational toil through automation and engineering practices.

Develop and maintain reliable platforms through automation, observability, incident response, performance optimization, and infrastructure improvements. The role collaborates with engineering teams, supports 24x7 reliability rotations, troubleshoots complex issues across code and infrastructure, and improves operational processes. Required experience includes SRE or equivalent work, software development, cloud platforms, monitoring, databases, and containerization. Preferred skills include Terraform, REST APIs, Grafana, Splunk, Agile, and GitOps.

Build and own Snowflake data models and dbt pipelines for a Customer Data Platform supporting marketing segmentation and customer journeys. Integrate complex source systems, manage data architecture and governance, conduct data discovery, and translate business rules into scalable solutions. Collaborate with engineering, analytics, product, and business stakeholders; lead technical workshops; mentor junior engineers; and implement automated data quality testing, CI/CD workflows, and AI-augmented engineering practices.

Lead the migration of a legacy digital credit application monolith to a cloud-native Java and Spring Boot microservices ecosystem. Design modular adjudication services, versioned REST and gRPC APIs, event-driven integrations, zero-downtime migration strategies, and A/B testing infrastructure. Drive AI-assisted development, observability, CI/CD, contract testing, Salesforce synchronization, and collaboration with data science teams. Mentor engineers and provide technical leadership across complex fintech, lending, and credit systems.

Conducts AML transaction monitoring alert reviews, initial and ongoing investigations, and suspicious activity determinations involving fraud, account takeovers, and BSA/AML referrals. Documents findings, manages investigation caseloads, meets performance and service-level targets, escalates risks, and works independently under regulatory and contractual requirements. Supports process improvement and responds to quality feedback. Requires basic BSA/AML, fraud, and OFAC knowledge, strong organization, discretion, and the ability to manage competing priorities.

Designs, develops, and supports scalable backend services, REST and gRPC APIs, automated testing, monitoring, and continuous delivery. Leads system architecture and technical initiatives, performs code reviews, mentors engineers, troubleshoots production issues, and documents designs and operational procedures. The role also supports major customer implementations and integrations on the IBM iSeries platform while collaborating with product, engineering, and customer stakeholders.

Manages customer onboarding for micro and small fleet accounts by processing applications, monitoring automated engagement campaigns, supporting enrollment and activation, validating account data, educating customers, escalating issues, and coordinating with Sales and internal teams. The role emphasizes accurate workflow management, timely transitions, customer service, and early lifecycle success.

Own post-sale relationships with referral partners, driving adoption, retention, renewals, expansion, and revenue growth. Serve as a strategic advisor, lead business reviews, resolve escalations, coordinate cross-functional teams, enable product usage, and advocate for partner needs. Maintain partner records and report on satisfaction, renewal, and revenue metrics while developing success strategies and playbooks.

The Principal AI/ML Engineer will lead the development of AI/ML platforms, drive technology architecture, ensure quality and integration, and provide strategic leadership while managing a team of engineers.

Architect, build, and deploy production-grade AI/ML platforms and LLM/RAG solutions. Lead system design, CI/CD and Terraform-based IaC, ensure reliability and monitoring, mentor engineers, run incident response, and prototype emerging AI technologies.