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Software Engineer Lead - Data and Automation Machine Learning (ML) Operations Technology (Kubernetes, Python, Cloud Platforms, Docker, CI/CD)
PNC
π
Strongsville, United States
Location
Strongsville
Posted
June 10, 2026
Commute
Local Area
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Job Description
**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 companyβs success. As a Software Engineer Lead within PNC's Data and Automation organization, you will be based in Pittsburgh, PA; Strongsville, OH;
- Lead and develop MLOps engineering capabilities to deliver scalable, enterprise-grade ML platforms.
- Drive cross-functional alignment to accelerate the operationalization of machine learning solutions.
- Champion standards for automation, CI/CD, and observability to ensure reliability and efficiency at scale.
- Provide technical and strategic leadership in MLOps architecture and platform evolution.
- Advance continuous improvement of ML lifecycle processes ...
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 companyβs success. As a Software Engineer Lead within PNC's Data and Automation organization, you will be based in Pittsburgh, PA; Strongsville, OH;
- Lead and develop MLOps engineering capabilities to deliver scalable, enterprise-grade ML platforms.
- Drive cross-functional alignment to accelerate the operationalization of machine learning solutions.
- Champion standards for automation, CI/CD, and observability to ensure reliability and efficiency at scale.
- Provide technical and strategic leadership in MLOps architecture and platform evolution.
- Advance continuous improvement of ML lifecycle processes ...