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Tier-1 bank, metro location, mid-level generalist backend role with broad stack increases applicant competition.
Role requires domain-specific fixed-income trading experience alongside backend skills, making cross-industry moves harder.
Explicit 5+ years plus mandatory Java/Spring, messaging and AWS requirements enforce strict filtering.
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Design and develop trading tools and technical solutions in pre-trade, trade capture, and pricing domains within a real-time Fixed Income trading system.
Lead adoption of AI-assisted software engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing validation standards and promoting reuse across the team.
Drive system transformation initiatives including analysis of legacy systems, development of metrics/KPIs, piloting new technologies, and collaborating with trading, risk, and P&L teams to deliver scalable solutions.
5+ years of applied experience with formal training or certification in Software Engineering concepts.
Hands-on experience in Java, Python, Spring Boot and messaging systems such as Kafka, IBM MQ, Tibco, AMPS.
Mandatory exposure to AWS technology and working knowledge of SQL/Stored Procedures.
Demonstrated experience leading AI-assisted software development tool adoption and strong understanding of responsible AI use in engineering workflows.
Experienced in developing and transforming Fixed Income trading system software in a complex, matrixed organization supporting real-time trading.
Proven ability to lead team adoption of AI-assisted development tools and enforce secure, compliant coding and validation standards.
Operationally focused on delivering scalable, secure, and robust solutions with hands-on programming and leadership on complex projects involving system design and stability.