About the Team/RoleYou'll lead a dynamic engineering team within our modern payments platform that currently services our corporate payments line of business, with aspirations to expand across all our lines of business. Your team will drive innovation by building new features on our event-driven, microservices-based architecture deployed in Kubernetes clusters. You'll be working with cutting-edge technologies including containerized applications, event streaming with Kafka, infrastructure-as-code through Terraform, and implementing CI/CD pipelines that enable true continuous delivery.As Engineering Manager of a high-performing Scrum team, you'll tackle complex data engineering challenges, processing millions of transactions daily through a cloud-native platform that ensures accuracy, security, and exceptional performance. Your team will design scalable solutions that handle massive data volumes while maintaining aggressive uptime SLAs. Your team's work directly impacts WEX's ability to process payments reliably and securely at scale, with opportunities to shape the future architecture of our entire payments ecosystem through technological innovation and forward-thinking design patterns.How you'll make an impactServe as a Culture Champion who embodies and promotes WEX's values, creates an inclusive environment, and builds team cohesion and engagementDrive technical vision and roadmap for your team's services, providing strong technical leadership while remaining hands-on with codeWrite high-quality, production-ready code alongside your team, keeping your technical skills sharp while mentoring othersLead by example through pair programming, code reviews, and technical spikes to solve complex engineering challengesManage a cross-functional Scrum team of 5 Engineers, supporting their professional developmentImplement advanced architectural patterns like event sourcing, CQRS, and distributed tracing to build resilient, performant systemsPartner with Product teams and stakeholders to define and deliver roadmaps that delight customers, enable business growth, and ensure technical excellenceMaintain sustainable delivery practices while balancing the needs of your team, stakeholders, and the platform services you ownChampion continuous improvement initiatives to enhance delivery capabilities, technical processes, and operational assetsAdvocate for technical, delivery and operational best practices with a focus on measurable outcomes and meaningful metricsOwn and solve complex delivery, technical and operational challenges, providing guidance while empowering your team's independenceCollaborate effectively across the organization with other Scrum teams and service providers to deliver changes efficiently, securely and safelyExcel at both building software systems and developing people, supporting their career growthDemonstrate a collaborative and enabling leadership styleExperience you'll bring10+ years of software development experience2+ years of experience leading software engineering teamsProven success record managing engineering teamsStrong technical leadership with demonstrable achievements in architecture, solution design, development, and scaled cloud deliveryDeep expertise in modern software engineering practices, cloud platforms, and DevOps approaches including test and deployment automation. A deep understanding on how to build Data Intensive applications at scale (preferred)Excellent stakeholder management and people leadership skillsTrack record of building positive team cultures that emphasize collaboration, growth, and excellenceExperience with financial or payment systems (preferred)Knowledge of modern microservice architectures and distributed systems (preferred)Technology StackExperience with .NET/C# and TypescriptCloud-native development experience including Kubernetes, Terraform, Terragrunt, Containerisation, Event Streaming with KafkaFamiliarity with modern frontend technologiesUnderstanding of CI/CD pipelines and infrastructure as codeKnowledge of database technologies and data management practicesA deep understanding on how to build Data Intensive applications at scale
