Mainframe Software Engineer III

Quick Facts

• Role: Mainframe Software Engineer III

Description

Work as a seasoned member of an agile team to design and deliver secure, stable, and scalable technology products on mainframe platforms. Execute software solutions across multiple technical areas, producing secure production code, design artifacts, and visualizations/reporting from large datasets. Leverage enterprise-authorized AI-assisted coding tools to improve quality and delivery speed while validating outputs for correctness, performance, and security.

Responsibilities

• Execute software solutions including design, development, and technical troubleshooting beyond routine approaches

• Create secure, high-quality production code and maintain algorithms running synchronously with appropriate systems

• Use enterprise-authorized AI coding assist tools for code generation/refactoring, unit test creation, and documentation; validate via peer review and automated testing using secure coding standards

• Apply SDLC toolchain capabilities, including AI-assisted development and automation, to increase value from automation

• Produce architecture and design artifacts for complex applications and ensure design constraints are met in code

• Gather, analyze, synthesize, and create visualizations and reporting from large, diverse datasets

• Identify hidden problems and data patterns to improve coding hygiene and system architecture

Requirements

• Formal training or certification on software engineering concepts and 3+ years applied experience

• Hands-on practical experience in system design, application development, testing, and operational stability

• Experience developing, debugging, and maintaining code in a large corporate environment using one or more mainframe programming languages and database querying languages

• Hands-on experience using enterprise-authorized AI-assisted software development tools, with demonstrated ability to critically evaluate, validate, and refine AI outputs for correctness, performance, and security

• Understanding of responsible AI use in engineering workflows (data sensitivity, secure handling of inputs/outputs, resiliency and security expectations)

• Overall knowledge of the Software Development Life Cycle

• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Benefits

• Competitive total rewards package with base salary determined by role, experience, skill set, and location

• May include commission-based pay and/or discretionary incentive compensation, potentially including cash and/or forfeitable equity

• Comprehensive health care coverage

• On-site health and wellness centers

• Retirement savings plan

• Backup childcare

• Tuition reimbursement

• Mental health support

• Financial coaching

• Additional total compensation and benefits details provided during the hiring process