Senior Mainframe Software Engineer – COBOL/JCL & AI

Visa

Denver (CO)

Hybrid

USD 104,600 - 162,300

Full time

14 days+

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Benefits offered by this job

Medical

Dental

Vision

401(k)

FSA/HSA

Life Insurance

Paid Time Off

Wellness Program

Job summary

Visa is seeking a Senior Software Engineer to join the MVS Offline Development team, designing, coding, testing, and maintaining mainframe applications on IBM z/OS390. The role emphasizes COBOL, JCL, and Procs with a strong collaboration mindset to deliver scalable fintech solutions.

Expect 60–75% hands-on coding and engagement with AI-assisted development and modern cloud tools. All roles require digital fluency and curiosity to apply Generative AI tools for day-to-day work, ensuring high

Qualifications

Master's degree in Math, Science, Engineering, or Computer Science, Information Systems or related field.
Bachelor's degree in Math, Science, Engineering, or Computer Science, Information Systems or related field AND minimum two (2) years of experience in a directly related field.
Minimum five (5) years of directly related experience.

Responsibilities

Collaborate with stakeholders to interpret requirements for project components and incorporate feedback into future designs or solution fixes.
Translate business requirements by verifying assumptions and escalating potential design issues to appropriate stakeholders.
Contribute to project estimation and escalate issues that may cause delays.
Develop, implement, and maintain code for products, services, or components, applying coding patterns, guidelines, and best practices.
Apply debugging tools to verify assumptions and proactively flag issues before they occur.
Participate in code reviews to ensure coding standards are followed and address routine pull requests.
Manage end‑to‑end lifecycle of application enhancements by working with architects, systems analysts, project managers, QA and other developers to successfully implement projects while applying the latest available tools and technology including GenAI tools.
Leverage and build knowledge of software developer tools to create, debug, and maintain code for components.
Remain current in skills by investing time in training resources to improve product availability, reliability, observability, and performance.
Prepare technical documents, develop code, review code, build environment, review test results, and prepare plan for implementation.
Analyze technical impact, stability, and functionality due to any custom change.
Manage small to medium‑size project/initiatives as an individual contributor with advanced knowledge within discipline.
Identify opportunities for future enhancements and refinements to standards, best practices and development methodologies.
Work with Software Configuration Management on the implementation and support of software maintenance releases.
Stay current with emerging technologies in AI, cloud computing, and mainframe modernization.
Evaluate new tools and frameworks as they become available and recommend adoption as appropriate.