Position Overview

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Technology Engineer Sr within PNC's Treasury Solutions organization, you will be based in Pittsburgh, PA.

The PAY technology team supports PNC’s client-servicing M&A, Escrow, and Paying Agent platform, powering complex, high-value financial transactions where reliability, scalability, and operational excellence are essential to client success. The team develops and maintains the applications and services used to onboard transactions, process payments, deliver client reporting, and support the operational servicing of M&A and escrow-related events.

PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.

 

PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.

Job Description

Core Responsibilities

• Lead platform-level architecture and solution design efforts for business-critical payment processing applications, ensuring scalability, reliability, security, and maintainability.
• Provide technical leadership across multiple PAY applications and services, guiding engineering teams through complex technical challenges and strategic initiatives.
• Drive modernization efforts, platform enhancements, and technology roadmap execution across the PAY ecosystem.
• Deliver hands-on development and technical leadership using Java to design, develop, and maintain enterprise-grade backend services.
• Build and enhance microservices and application components using Spring Boot to support high-volume transaction processing and business workflows.
• Develop and support user-facing solutions using Angular to deliver intuitive and efficient application experiences.
• Design, develop, and maintain REST APIs that enable secure and scalable integration between enterprise systems and services.
• Apply SQL and database design expertise to optimize data models, improve application performance, and support transactional processing requirements.
• Define and implement enterprise application architecture patterns that align technology solutions with business objectives and long-term platform strategy.
• Leverage integration patterns to enable seamless connectivity between internal applications, external systems, and business services.
• Troubleshoot complex production issues, perform root cause analysis, and improve platform resiliency in a fast-paced, high-availability environment.
• Participate in on-call support and provide leadership during critical production incidents affecting revenue-generating business processes.
• Mentor and coach engineers on software design, coding standards, troubleshooting techniques, and engineering best practices.
• Partner closely with Product Owners, Business Analysts, Architects, Operations teams, and business stakeholders to translate requirements into scalable technical solutions.
• Support release planning, technical risk assessment, dependency management, and delivery execution for complex initiatives.
• Evaluate, implement, and promote AI-enabled engineering practices that improve software quality, productivity, and development velocity.
• Drive the adoption of Generative AI and AI-assisted software development capabilities throughout the Software Development Lifecycle (SDLC), including requirements analysis, solution design, development, test automation, documentation, code reviews, release readiness assessments, troubleshooting, and production support.
• Establish governance, standards, and guardrails for responsible AI adoption while ensuring compliance, security, quality, and operational excellence.
• Assess emerging AI technologies and identify opportunities to deliver measurable engineering and business value across development teams.

Preferred Skills & Experience

• Proven experience serving as a Technical Lead, Solution Lead, or operating in an architecture-focused leadership capacity across multiple applications or teams.
• Hands-on experience