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Designs, proposes, and codes complex data and automation solutions on AWS; leads problem solving, provides technical guidance, and applies IaC and modern tooling to align software with business strategy. Works with AWS data/ML services and mentors teams to deliver reliable production systems.

As a Product Owner II at PNC, you will manage the vision and product backlog for data quality products, collaborating with stakeholders and teams to ensure alignment with business needs and successful product delivery.

Hands-on technical leader who designs, codes, reviews, and troubleshoots Java-based Spring Boot microservices and API-driven systems. Manages and mentors a team of 10-15 engineers, drives technical standards and code quality, partners with architects and platform teams, participates in sprint planning, and collaborates with product, QA, and DevOps to deliver scalable, resilient, and secure solutions.

Lead technical design and development of software solutions, mentor engineers, review code, design and support APIs, develop front-end with Angular, work with Java/Spring and Oracle, apply containerization (OpenShift/Kubernetes), and operate within Agile/Scrum practices.

Lead technical design and development of software solutions, propose designs for complex business needs, resolve complex problems, provide technical guidance and code reviews, and apply modern development methodologies and tools to advance Wealth Management initiatives.

Lead design and implementation of software solutions aligning business strategy and technology. Propose, design, and code complex systems; produce technical documentation; lead problem solving; provide technical guidance to teams; apply modern principles and tools to advance MarTech/MarCom initiatives. Role is in-office in Pittsburgh, PA or Cleveland, OH. PNC will not sponsor employment visas or participate in STEM OPT.

Design, build, and maintain platform and application solutions. Monitor OS and application metrics for performance tuning and fault finding. Partner with development teams on testing, releases, and reliability. Perform system design consulting, capacity planning, and platform management. Create sustainable systems via automation and support applications using monitoring tools while balancing feature velocity with service-level objectives.

Design, build, and maintain scalable batch and real-time data pipelines using Spark and SQL. Deploy and optimize containerized data workloads (Docker, Kubernetes/OCP), manage data lakes (S3/ADLS) and modern table formats (Apache Iceberg), implement CI/CD, optimize resource utilization, contribute to architecture and platform modernization, ensure governance/compliance, and provide technical leadership and mentoring.

Lead design and implementation of backend, microservices, and event-driven solutions using Java, Spring Boot, and Kafka. Serve as technical lead for distributed teams, establish engineering standards, drive architecture and code reviews, mentor engineers, manage Agile delivery, troubleshoot production issues, and collaborate with stakeholders to deliver scalable, resilient solutions.

Lead requirements gathering and analysis for advisor portal initiatives; document BRDs, user stories, use cases, process flows, and data mappings; translate business needs into technical requirements; perform gap analyses and recommend process and technology improvements; participate in Agile ceremonies and develop detailed user stories with acceptance criteria.