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PNC

Lead Software Engineer – Data and Automation, Machine Learning Operations, Technology – Kubernetes, Python, Cloud Platforms, Docker, CI/CD

PNC

Software Engineer Lead overseeing MLOps for data and automation at PNC. Mentoring team and driving best practices in CI/CD and cloud infrastructure.

Posted 6/3/2026full-timePittsburgh • Ohio, Pennsylvania • 🇺🇸 United StatesSenior💰 $55,000 - $179,400 per yearWebsite

Tech Stack

Tools & technologies
CloudDockerKubernetesPython

About the role

Key responsibilities & impact
  • Lead and mentor a team of MLOps engineers to design, develop, and maintain scalable machine learning infrastructure and deployment pipelines.
  • Collaborate cross-functionally with data scientists, software engineers, and product teams to operationalize ML models and ensure robust, reliable production systems.
  • Drive best practices in CI/CD, automation, monitoring, and cloud infrastructure management specific to ML workflows.
  • Serve as a technical expert and functional lead in MLOps, influencing architecture decisions and technology adoption.
  • Contribute to strategic planning and continuous improvement of ML lifecycle management processes.

Requirements

What you’ll need
  • 3+ years of relevant / direct industry experience
  • Proficiency in Kubernetes, Python, Cloud Platforms, Docker, CI/CD
  • Bachelor's degree in related field
  • Strong problem-solving skills
  • Ability to lead and mentor a team

Benefits

Comp & perks
  • medical/prescription drug coverage (with a Health Savings Account feature)
  • dental and vision options
  • employee and spouse/child life insurance
  • short and long-term disability protection
  • 401(k) with PNC match
  • pension and stock purchase plans
  • dependent care reimbursement account
  • back-up child/elder care
  • adoption, surrogacy, and doula reimbursement
  • educational assistance, including select programs fully paid
  • a robust wellness program with financial incentives
  • maternity and/or parental leave
  • up to 11 paid holidays each year
  • 9 occasional absence days each year, unless otherwise required by law
  • between 15 to 25 vacation days each year, depending on career level; and years of service

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Hard Skills & Tools
KubernetesPythonCloud PlatformsDockerCI/CDMLOpsmachine learning infrastructuredeployment pipelinesautomationmonitoring
Soft Skills
problem-solvingleadershipmentoringcollaborationstrategic planningcontinuous improvement
Certifications
Bachelor's degree