Technology Engineer Sr - Full Stack Lead - PNC Financial Services Group

Position Overview

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.