Software Engineer Lead, Mainframe Developer

PNC

Quick summary

Work type
On-site
Location
Pittsburgh, PACleveland, OHBirmingham, ALDallas, TX
Salary
$67,500–$172,500 / yr
Posted
6 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $177k
This role $120k
$50k most similar roles pay here $228k

This role pays less than 84% of similar roles. Most pay $141,825–$211,200 — the shaded band above. At the midpoint, this role pays about $120k versus about $177k for comparable roles.

Based on 240 similar postings.

Employer

About PNC

PNC is one of the largest diversified financial services institutions in the U.S., based in Pittsburgh, PA, it provides retail banking, corporate banking, and asset management.

PNC currently has 181 open roles on FindRole.

Listed pay typically runs $86,250–$172,500 across 71 roles with salary data.

Most-posted roles

View all roles at PNC

At a glance

TL;DR · Software Engineer Lead, Mainframe Developer

The Software Engineering Lead - Mainframe Developer role within PNC's Lending Technology, Credit Card Servicing team in Pittsburgh, Cleveland, Birmingham, or Dallas involves leading backend development for credit card processing systems. This includes creating mainframe batch jobs to process data from Fiserv and supporting CICS screens and internally developed Cobol programs. The position requires expertise in IBM Mainframe technologies such as Cobol, JCL, VSAM, DB2, CA7, and SAS, along with experience in Agile Scrum methodologies like Jira and Confluence. Ideal candidates will have strong analytical skills, the ability to work in a dynamic environment across multiple locations, and credit card subject matter expertise. They must also manage risks effectively and ensure alignment with PNC's risk management framework while delivering high-quality solutions that enhance customer experiences.

What you'll do

  • Leads and coordinates complex development activities including analysis, design, coding, testing, and deployment.
  • Develops mainframe applications using Cobol, JCL, CA7, DB2, VSAM, and CICS for credit card processing systems.
  • Collaborates with Quality Engineering to validate code deployments and ensure system compatibility.
  • Analyzes business requirements and converts them into technical designs and code solutions.
  • Manages risks associated with development activities in alignment with the bank's risk management framework.

What we're looking for

  • Extensive IBM Mainframe development experience with Cobol, JCL, CA7, DB2, VSAM
  • Strong analytical thinking and problem-solving skills for complex processes
  • Experience in leading and coordinating software development activities on Agile teams
  • Detail-oriented approach to managing multiple tasks and tracking details effectively
  • Ability to communicate technical information clearly both verbally and in writing
  • Familiarity with application delivery methodologies and system development life cycle
  • Knowledge of Jira, Confluence, and SharePoint for project management and documentation

More like this

Similar roles

Lead Software Engineer

PNC

Dallas, TX +2 125 days ago
Java Python SQL Kafka Swagger JSON XML RESTful SOAP API FTP Messaging bus FICO OMDM Drools C# PostgreSQL CI/CD

Lead Software Engineer

T. Rowe Price

Owings Mills, MD +6 67 days ago $145,000$247,000
AWS Java Python JavaScript DevOps CI/CD Terraform Docker Kubernetes Informatica Apache Spark PostgreSQL SQL Git Jenkins Ansible Prometheus Grafana
Hybrid

Lead Software Engineer

The Walt Disney Company

Bay Lake, FL 2 days ago $148,300$180,000
Java Apache Flink AWS ECS/EKS Lambda DynamoDB S3 CloudWatch Timestream InfluxDB Kafka MQTT event-driven architecture CI/CD schema evolution observability resilience scalability IoT edge systems computer vision stream processing frameworks high-throughput messaging systems

Lead Software Engineer

Adobe

San Jose 55 days ago $208,300$301,600
Java Hibernate PostgreSQL Docker Kubernetes Jenkins Spring Framework MySQL MongoDB Apache Cassandra Kafka Redis Scrum Agile Methodologies New Relic Wavefront Vivid Cortex Vector Databases RAG Architecture A2A Protocol MCP Langchain AI Evals