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Medium - strong employer brand increases interest, but seniority and niche Flink/Kafka expertise narrow the pool.
High - low-latency finance/trading platform experience and domain knowledge strongly influence candidate fit.
High - strict 10+ years, VP-level leadership, and mandatory deep Flink/Kafka/Redis/Java/Python expertise.
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Lead technical design and hands-on development of scalable, low-latency streaming data platforms and microservices, including Apache Flink and Redis infrastructure.
Provide direct technical leadership and coaching to junior and mid-level engineers, driving code quality, architecture reviews, and continuous improvement.
Participate in strategic planning, platform operation, performance optimization, and evaluation/integration of emerging open-source data technologies to support quantitative analytics and trading workflows.
10+ years of hands-on software development experience; 3-5 years in lead technical contributor or staff engineer role within data-intensive environments.
Expertise in Java (Java 11+ preferred) and Python; proficiency in streaming technologies like Apache Flink and caching technology Redis with cluster management experience.
Strong experience designing and implementing microservices and complex streaming data pipeline architectures.
Bachelor’s degree or equivalent experience; Work Experience Required: 10+ years of software development, with leadership experience explicitly mentioned.
Technical authority with demonstrated ability to contribute hands-on across multiple programming languages and frameworks in polyglot environments.
Experienced in production-grade distributed data and streaming architectures catering to real-time analytics and trading platforms.
Proven track record of direct technical leadership, coaching engineering teams, driving architecture decisions, and delivering robust, scalable data platform solutions in a high-performance financial services context.