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Tier-1 employer, mid-level generalist fullstack title, and broad skill requirements increase competition.
Front-office equities and derivatives knowledge plus regulated finance environment make cross-industry fit difficult.
Explicit 5+ years plus mandatory Java/Python, cloud, AI-assisted tooling, and finance domain requirements raise strictness.
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Provide technical leadership and guidance for software development teams, contractors, and vendors.
Develop, review, and debug secure, high-quality production code, influencing product design and application functionality.
Lead adoption and governance of AI-assisted engineering practices and automation within the Software Development Life Cycle to improve code quality, delivery speed, and operational outcomes.
5+ years of applied experience and formal training or certification in software engineering concepts.
Hands-on experience in system design, application development, testing, and operational stability.
Proficiency in Java/Python and knowledge of Front Office Structured Products.
Experience leading the use of enterprise-authorized AI-assisted development tools and advanced understanding of responsible AI use in engineering workflows.
Experienced software engineer with deep expertise in Java/Python and Financial Services domain, particularly equities and structured products.
Capable of driving technical decisions and influencing engineering teams in an agile, CI/CD environment with focus on application resiliency and security.
Familiar with cloud native technologies and proactive in adopting AI-assisted engineering tools to enhance software delivery and quality.