Overview
This role is part of our Data & AI Guild, working on a data modernization engagement for a US financial services client. The team is building the data infrastructure that powers real-time AI-driven risk models — moving from legacy batch processing to event-driven architecture.
You won’t be handed a backlog. You’ll be part of the architecture conversation from the beginning, working directly alongside the client’s engineering leadership and owning delivery outcomes end-to-end.
Your Role and Responsibilities
What You’ll Do
- Develop, maintain, and optimize applications in a Mainframe environment.
- Create, execute, and maintain routines using JCL (Job Control Language).
- Develop, maintain, and debug COBOL programs.
- Work with DB2 databases and VSAM files for data manipulation and storage.
- Use Mainframe environment tools for development, support, and monitoring.
- Diagnose and resolve incidents and issues in production environments.
- Work with version control and change management, following established processes.
- Ensure the stability, availability, and performance of Mainframe applications.
- Apply security best practices in the Mainframe environment.
- Develop scripts and automation to optimize processes and repetitive tasks.
- Collaborate with cross-functional teams and business areas to analyze and implement solutions.
REQUIREMENTS
What This Role Requires
- Experience with the IBM z/OS environment.
- Knowledge of Mainframe architecture and components.
- Experience with COBOL.
- Experience with JCL (Job Control Language).
- Knowledge of DB2.
- Knowledge of VSAM.
- Experience with TSO/ISPF.
- Knowledge of Mainframe development and monitoring tools.
- Experience with version control and change management.
- Experience in troubleshooting and incident resolution in production environments.
- Knowledge of Mainframe security best practices.
- Experience with scripting and process automation.
Working at Motivus
What Working Here Looks Like
- Guild community: You’re part of the [Data & AI / Backend / Cloud] Guild — a community of practitioners in your domain. Structured learning, peer review, and certifications happen here, not in isolation.
- Outcome accountability: Your work connects directly to a client result. We don’t measure activity — we measure delivery.
- AI in your workflow: Through AI Champions and Guild initiatives, you’ll actively use and shape how AI tools are applied to engineering work — not just hear about it in a townhall.
- Defined career path: Structured progression from individual contributor to technical lead to Guild leadership, with certifications and milestones that are visible, not arbitrary.
