Requirements

• 8+ years of professional software engineering experience, ideally in financial systems, trading, or real-time data infrastructure
• Deep expertise in Java (17+) with Spring Boot in high-throughput production environments
• Extensive experience with Apache Kafka, topic design, schema evolution, consumer group management at scale
• Strong data engineering skills, building real-time streaming pipelines with Apache Flink, Kafka Streams, or equivalent
• Proven track record designing and operating distributed systems processing millions of events per day
• Demonstrated ability to own system reliability end-to-end: SLOs, alerting, incident response, disaster recovery
• Experience leading technical design of complex multi-service architectures and influencing without direct authority
• Exceptional product mindset — able to translate business requirements from traders, operations, and quants into technical strategy
• Track record of mentoring senior and junior engineers and raising team-wide engineering standards

What you'll be doing

• Architecting a semi-automated hedge execution platform, from exposure decomposition through model-driven hedge proposals to programmatic trade execution on external partners
• Building real-time streaming pipelines with Apache Flink for portfolio-split exposure computation, tenor interpolation, and hedge lifecycle event processing
• Evolving rate infrastructure for 10x throughput with FX Forwards, new corridors, NDFs and cross-provider deviation alerting
• Building production infrastructure for quant models including VaR, beta-adjusted exposure management, dynamic pricing, and FRP cancellations
• Owning Kafka topology design and schema evolution across the full pipeline: rate ingestion → risk calculation → trade execution → analytics
• Driving technical roadmap across both Market Data and Risk Engineering teams, mentoring IC2/IC3 engineers, and leading incident response for Tier-1 critical services