Technology Engineer Sr (Java​/FullStack​/API​/GEN AI

Position: Technology Engineer Sr (Java/FullStack/API/GEN AI)
** 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 C&IB organization, you will be based in Pittsburgh, PA or Dallas, TX.

Position Summary

We are seeking a highly skilled Technology Engineer Senior with extensive experience in backend Java development, API engineering, and modern application architecture, along with working knowledge of front-end technologies such as Angular. This role will play a key part in modernizing the platform, building new digital capabilities, and driving the evolution of application architecture to support future business growth and technology strategy.

The ideal candidate will help deliver new features and enhancements while supporting production defects and maintaining existing applications. They will work closely with architects, product teams, and engineering partners to design and implement scalable, cloud-ready solutions leveraging modern microservices and API-based architectures.

This individual is expected to be self-driven and provide technical leadership to development teams by mentoring engineers, conducting code reviews, promoting engineering best practices, and ensuring adherence to Crew standards and development guidelines. The candidate will also be responsible for creating and maintaining architecture documentation, API specifications, data models, and database design artifacts for Architecture Review and Governance processes.

Additionally, the candidate should be comfortable leveraging Generative AI-assisted software development tools such as Git Hub Copilot, Microsoft Copilot, or similar technologies to improve developer productivity, accelerate software delivery, enhance code quality, generate documentation, and support modern software engineering practices. Experience validating and governing AI-generated code in accordance with enterprise standards is highly desirable.

Key Responsibilities

- Lead the design, development, and implementation of complex enterprise applications and APIs.

- Design, build, and maintain scalable backend services using modern Java technologies and microservices architecture.

- Support production issues, defect remediation, and delivery of small-to-medium enhancement requests.

- Provide technical leadership, mentoring, and code review guidance to development teams.

- Ensure adherence to engineering standards, coding best practices, secure development practices, and Crew-defined norms.

- Collaborate with architects, product owners, business analysts, and infrastructure teams to deliver high-quality solutions.

- Create architecture documentation, technical specifications, data models, and database design artifacts for architecture reviews.

- Drive API-first development practices and ensure application scalability, maintainability, and resiliency.

- Utilize AI-assisted software development tools such as Git Hub Copilot, Microsoft Copilot, or similar GenAI solutions to accelerate development, improve code quality, generate documentation, and enhance developer productivity while maintaining engineering governance standards.

- Promote the responsible use of Generative AI technologies, including validation of AI-generated code, security considerations, and adherence to enterprise development guidelines.

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Required Technical Skills

- Expert-level experience with:

o Java (Java 17, Java 21)

o Spring Boot

o Spring Security

o Microservices Architecture

o MongoDB (No

SQL)

o Oracle Database (DDL, DML, SQL)

- Development Tools:

o IntelliJ IDEA

o Eclipse

o Git-based source control systems

- Front-End Technologies:

o Angular 16o HTML5

o CSS3

o JavaScript/Type Script

- Containerization & Cloud-Native Concepts:

o Kubernetes

o Docker

o Open Shift

- Dev Ops & CI/CD:

o Jenkins

o uDeploy

o Harmony

o Gradle

o Helm

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Generative AI & Modern Engineering Skills (Preferred)

- Practical experience using Git Hub Copilot, Microsoft Copilot, Copilot Chat, or equivalent AI-assisted development tools within the software development lifecycle.

- Understanding of how Generative AI can accelerate:

o Code generation and refactoring

o Unit test creation

o Documentation generation

o API development

o Code reviews and troubleshooting

- Ability to evaluate and validate AI-generated code for accuracy, performance, security, and compliance with enterprise standards.

- Familiarity with emerging AI-assisted software engineering practices and responsible AI development principles.

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Nice-to-Have Skills

- Secure coding practices and OWASP standards

- Application monitoring and observability tools:

o Dynatrace

o Checkmarx

- Micro Frontend Architecture

- Experience…