Software Engineer II (Mainframe)

TD•Toronto, ON

5d•CA$81,600 - CA$115,200•Onsite

About The Position

The L9 Mainframe Software Engineer II is responsible for producing high-quality functional and technical designs, participating in complex application development, and delivering reliable technology solutions aligned to business, architecture, quality, and security standards. This role requires strong hands-on mainframe development experience, the ability to support design and delivery activities, and a learning mindset to adopt modern engineering practices including Git-based development, AI-assisted engineering tools, and mainframe modernization patterns.

Requirements

Undergraduate Degree or Technical Certificate.
6+ years of mainframe application design, development, and support experience; financial industry experience preferred.
Strong hands-on mainframe skills across COBOL, JCL, VSAM, TSO, ISPF, IMS DC/DB and/or DB2.
Experience with source control tools such as Endevor, SCM, Changeman, Git, or GitHub.
Experience with job scheduling tools such as CA-7, Autosys, and AWF.
Agile delivery experience with ability to work in iterative delivery models and collaborate across cross-functional teams.
Experience with ITSM tools including Jira, Confluence, and ServiceNow.
Working knowledge of SDLC practices, secure coding standards, incident management, and production support processes.
Demonstrated ability to analyze requirements, design technical solutions, complete development activities, and support testing.
Ability to apply AI-assisted engineering tools such as GitHub Copilot or similar tools to improve development productivity, documentation quality, code understanding, and delivery outcomes.
Strong learning mindset with willingness to adopt modernization practices, AI tools, collaborative engineering workflows, and new development frameworks.
Ability to work independently on assigned deliverables while seeking guidance on complex design decisions or broader architecture impacts.
Good communication skills with ability to explain technical issues, risks, and solution options to technology partners and stakeholders.

Nice To Haves

Experience with mainframe utilities such as IDz, ZDT, ADDI, PD Tool, and IMS Explorer for Development.
General knowledge of MQ and integration patterns.
Banking industry experience preferred.
Exposure to mainframe modernization initiatives, API enablement, distributed integration, or platform transformation programs.
Experience with GitHub Enterprise, branching strategies, pull request-based reviews, and collaborative development practices.
Familiarity with modern DevOps practices and automation opportunities.
Exposure to cloud, container, file transfer, or integration technologies such as Azure, Docker, TIBCO, or NDM.
Interest and adaptability in using AI-assisted engineering practices to support code analysis, documentation, testing, and modernization activities.

Responsibilities

Produce high-quality functional, technical, and user interface designs for applications and systems.
Participate in complex application and system development, including project planning, estimation, programming, testing, and status updates.
Translate business, Enterprise Architecture, system performance, and development standards into practical application and system designs.
Support development of strategic solutions that improve cost effectiveness, delivery efficiency, and stakeholder experience.
Conduct code reviews to ensure quality, standards compliance, reusability, maintainability, and secure coding practices.
Support Operational Readiness Reviews, gating activities, and required design or delivery sign-offs.
Identify application integrity issues, including cross-capability or release-related concerns, and work with teams to resolve them.
Transform business requirements and technical research into delivery solutions that meet performance and quality goals.
Perform enhancements, troubleshooting, unit testing, and integration testing as per standards and design specifications.
Configure and develop custom components in collaboration with analysts, developers, designers, technology partners, and business stakeholders.
Ensure applications are free of common coding vulnerabilities and follow corporate security practices.
Proactively recommend development, testing, automation, and tooling improvements that support project objectives.
Apply and share technical expertise during incident management, including impact assessment, outage analysis, and stakeholder communication.
Contribute to knowledge sharing and documentation to improve team effectiveness and long-term maintainability.
Adopt modern engineering practices, including Git-based collaboration, reusable design patterns, and AI-assisted development tools where appropriate.