Lead Software Engineer – Data and Automation – Machine Learning Operations, Python, PySpark, Pandas, Hadoop, SQL, MLOps, GenAI, Cloud (AWS, Azure), Helm

PNC

. Create and lead the technical design and development of software solutions .

Posted 10/14/2026full-timeUnited StatesSenior💰 $86,250 - $172,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and developing software solutions, with a strong focus on cloud infrastructure, automation, and data processing. Proven ability to lead technical initiatives and provide guidance in complex problem resolution while ensuring secure and scalable enterprise solutions.

Highest-signal resume keywords

Software DevelopmentCloud Infrastructure SupportMLOps PlatformsAzure Cloud ServicesCI/CD Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSparkKafkaAirflowSQLDevOps PracticesKubernetesContainerizationMonitoringCloud Security

Soft Skills

Strong CommunicationStakeholder ManagementTroubleshootingProblem-Solving

Tools & Technologies

AzureAWSApache HadoopInfrastructure as CodeAgile Methodology

Industry Keywords

Technical DesignData Processing SolutionsEnterprise-Scale PlatformsProject ManagementRequirements Analysis

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudHadoopKafkaKubernetesOpenShiftPythonSparkSQL

About the role

Key responsibilities & impact

Create and lead the technical design and development of software solutions
Propose and design software solutions addressing complex business needs
Prepare required technical and procedural documentation
Facilitate complex problem resolution
Provide technical guidance and support to colleagues
Review software coding, testing, and documentation
Apply modern principles, methodologies, and tools to advance business initiatives and capabilities
Develop and support batch and real-time data processing solutions and pipelines
Support cloud infrastructure, automation, and platform operations within Azure, AWS, or a comparable cloud platform
Contribute to secure, scalable, and reliable enterprise solutions
Lead complex technical initiatives and collaborate across organizational boundaries
Own mission-critical production systems and enterprise-scale platforms

Requirements

What you’ll need

University / college degree typically required
3+ years of relevant / direct industry experience
Comparable combination of education, job-specific certification(s), and experience, including military service, may be considered in lieu of a degree
Experience with MLOps platforms, model deployment pipelines, AI/ML operationalization, and data-driven platforms
Python, Spark, Kafka, Airflow, and cloud-based data services
Deep expertise in Azure cloud services, DevOps practices, platform engineering, and automation
Experience with CI/CD, Infrastructure as Code, Kubernetes/OpenShift, containerization, monitoring, and cloud security
Ability to lead complex technical initiatives and influence architectural decisions
Strong communication, stakeholder management, troubleshooting, and problem-solving skills
Demonstrated ownership of mission-critical production systems and enterprise-scale platforms
Knowledge of Agile Methodology, Apache Hadoop, AWS Cloud Operations, Cloud Computing, Code Reviews, Debugging, DevOps, Project Management, Requirements Analysis, Software Development, Structured Query Language (SQL), System Designs, and Technical Designs
No required certifications
No required licenses
No required or preferred language assessments
Must not require employment visa sponsorship; PNC will not participate in STEM OPT for this position

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 plan
Stock purchase plan
Dependent care reimbursement account
Back-up child/elder care
Adoption, surrogacy, and doula reimbursement
Educational assistance, including select programs fully paid
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
15 to 25 vacation days each year, depending on career level and years of service