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Tier-1 brand, metro location, popular fullstack title, and mid-level experience make competition high.
Strong finance/Equities and front-office product knowledge preference makes background fit highly sensitive.
Multiple mandatory technical skills, explicit 5+ years, and finance domain requirements raise shortlisting strictness.
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Provide technical guidance and direction to business, technical teams, contractors, and vendors within the Equities Technology team.
Develop, review, and debug secure, high-quality production code and influence product design and application functionality decisions.
Drive adoption and governance of enterprise AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes across the software development lifecycle.
Formal software engineering training or certification with 5+ years of applied experience.
Hands-on experience in Java/Python development, system design, testing, and operational stability.
Experience with automation, continuous delivery methods, AI-assisted software development tools, and cloud-native technologies.
Knowledge of agile methodologies including CI/CD, application resiliency, and security.
Experienced in leading software engineering teams using AI-assisted development tools and establishing validation standards for secure, performant code.
Familiar with the financial services domain, specifically Front Office Structured Products and Equities, with knowledge of their product lifecycle.
Proficient in applying advanced agile practices and cloud-native solutions to deliver complex technical changes within regulated environments.