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Strong Tier‑1 brand, metro location, mid-level generalist manager role, and popular Full Stack skillset increase competition.
Requires deep financial services knowledge and compliance, reducing cross-industry transferability.
Explicit 5+ years, managerial experience, and mandatory Full Stack/AI/cloud skills create strict hiring filters.
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Lead multiple software engineering teams, managing day-to-day implementation and ensuring compliance with business requirements and standards.
Drive adoption of enterprise-authorized AI-assisted engineering practices and automation to enhance delivery speed, quality, and operational outcomes.
Manage stakeholder relationships and oversee use of SDLC tools to improve automation value and support capacity initiatives.
5+ years applied experience in software engineering with formal training or certification; proven coaching and mentoring skills.
Experience leading adoption of responsible AI-assisted development tools, including defining workflows and security measures.
Proficient in Full Stack Java development, software development life cycle, and automation/continuous delivery methods.
Educational background in Computer Science, Engineering, Mathematics, or related field; experience with financial services IT systems and practical cloud native experience.
Experienced manager capable of leading and mentoring multiple engineering teams within financial services technology.
Strong understanding of responsible AI use in engineering, including governance, security, and data sensitivity, able to coach teams accordingly.
Hands-on expertise in cloud native environments, agile methodologies (CI/CD), and AI/ML integration in software projects, particularly Full Stack Java with data engineering focus.