Lead Infrastructure Engineer - Middleware Solutioning

About the role

Wells Fargo is seeking a Lead Infrastructure Engineer who serves as a strategic liaison between Line of Business (LOB) application teams and the enterprise platform organization. This role is accountable for driving end-to-end infrastructure solution design, with a strong emphasis on middleware platforms to ensure application integration, scalability, and reliability across enterprise systems. Learn more about the career areas and lines of business at wellsfargojobs.com. This position requires a balance of solutioning leadership and execution credibility. The individual will lead complex, cross-functional solutioning efforts while bringing practical experience from hands-on delivery to ensure designs are actionable, efficient, and aligned to real-world execution processes.

Responsibilities

• Lead solution design engagements across LOB application teams, ensuring alignment with enterprise infrastructure standards and approved products
• Drive end-to-end solution ownership, from initial design through onboarding, implementation alignment, and operational readiness
• Facilitate and lead cross-functional solutioning sessions with stakeholders including Application Development, CTO Architecture, WIMT Architecture, Security, Network, Middleware, and Database teams
• Apply practical execution experience to ensure solutions are realistic, implementable, and aligned to existing delivery processes
• Identify and resolve design gaps, conflicting requirements, and cross-team dependencies
• Exercise judgment in when to drive intervention vs. when to leverage established processes, ensuring efficient and scalable delivery
• Partner with engineering and delivery teams to ensure solution designs transition cleanly into execution
• Identify opportunities to improve execution processes, reduce friction, and streamline delivery based on hands-on experience
• Reinforce adoption of enterprise design patterns and infrastructure standards
• Assess operational readiness including monitoring, resiliency, backup, disaster recovery, and incident response integration
• Support lifecycle management strategy by aligning solutions to enterprise currency, compliance, and modernization objectives
• Act as a connector across organizations, improving coordination, decision-making, and overall solution quality

Qualifications

Required Qualifications:

• 5+ years of Technology Infrastructure Engineering and Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 5+ years of experience in enterprise infrastructure domains including compute, storage, networking, cloud, security, and middleware platforms (e.g., application servers, messaging systems, API gateways)
• 5+ years of experience leading complex, cross-team technical initiatives with multiple stakeholders
• 5+ years of experience in both solution design and hands-on execution/delivery of infrastructure solutions

Desired Qualifications:

• Strong expertise in middleware technologies such as application servers, messaging platforms (Kafka, MQ), API gateways, and integration frameworks
• Deep understanding of middleware design patterns including asynchronous messaging, event-driven architecture, and service-to-service communication
• Experience designing and supporting middleware solutions in large-scale, regulated environments
• Familiarity with middleware performance tuning, scalability strategies, and fault tolerance mechanisms
• Strong understanding of enterprise delivery processes and operating models
• Strong communication and facilitation skills, including leading design discussions and resolving ambiguity
• Prior hands-on experience delivering infrastructure solutions in enterprise environments
• Deep familiarity with infrastructure delivery lifecycle (design, build, deploy, operate)
• Ability to assess when to escalate issues vs. allow processes to execute as designed
• Experience translating architectural intent into executable, supportable solutions
• Demonstrated curiosity and practical experience exploring or applying AI, automation, or intelligent tooling in engineering workflows
• Ability to identify opportunities where AI can improve solution design, analysis, documentation, or operational efficiency
• Comfortable leveraging AI-assisted tools to accelerate problem-solving, decision-making, and delivery outcomes
• Mindset oriented toward continuous learning, experimentation, and adoption of emerging technologies

Pay

Pay Range: $119,000 - $187,000 Annually (applicable to Charlotte, NC and