Azure GBB Solution Engineer - Cloud & AI Infrastructure (Mainframe)

Responsibilities (Text Only) - Complex Deals Support: Engage deeply with customers to understand their legacy environments and design Azure-based solutions that meet performance, compliance, and cost-efficiency goals. - Advising C-Suite in Customers: Build trusted relationships with CIOs, CTOs, and enterprise architects to align mainframe modernisation with broader digital transformation strategies. - Remove Technical Roadblocks: Address challenges related to mainframe integration, data migration, and workload compatibility. Collaborate with engineering and product teams to resolve blockers. - Win Over Competitors:Demonstrate Azure's differentiation in mainframe modernisation compared to AWS Mainframe Modernization and GCP Dual Run. - Incubation to Mainstream: Develop and share mainframe-specific solution accelerators, migration playbooks, and automation frameworks. - Engineering Feedback Loop: Provide structured feedback from mainframe engagements to influence Azure product development. - Knowledge Transfer: Enable field teams and partners through technical briefings and readiness sessions focused on mainframe migration scenarios. - Thought Leadership: Publish blogs, whitepapers, and present at industry events on mainframe transformation best practices and customer success stories. Qualifications (Text Only) - 5-7 years of experience leading large-scale cloud engagements, including infrastructure migration and application modernisation. - Mainframe Expertise: Proven experience with IBM mainframe environments, including z/OS, JCL, COBOL, CICS, IMS, DB2, and associated tooling. - Azure Migration Tools: Familiarity with Azure Migrate, Azure App Modernization tools, and partner solutions like Micro Focus, TmaxSoft, Raincode, or Astadia. - Cloud Adoption Frameworks: Experience applying Microsoft Cloud Adoption Framework or similar methodologies to mainframe scenarios. - Executive Presence: Ability to engage and influence senior technical and business stakeholders. - Collaborative Leadership: Skilled in orchestrating virtual teams across sales, engineering, and partner ecosystems.