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Director of Java Backend Engineering (Core Trading Technology)

Deutsche Bank · Berlin, Germany

External listingfull-time14 days ago

About The Role

Join our team as the Director of Java Backend Engineering, where you will set the technical direction for high-performance backend systems in a latency-sensitive electronic trading environment. You will lead a globally distributed engineering team, define and drive the overall technical vision, and oversee the design, implementation, and continuous improvement of complex front-to-back trading systems. You will also evaluate and introduce innovative technologies, champion AI-assisted engineering practices, and establish engineering excellence through architecture governance and technical mentorship.

  • Definir y dirigir la visión técnica, la estrategia de arquitectura y la entrega de plataformas de trading de extremo a extremo.
  • Liderar y desarrollar una organización de ingeniería distribuida globalmente, incluyendo la mentoría a ingenieros senior y el apoyo en las actividades de contratación.
  • Supervisar el diseño, la implementación y la mejora continua de sistemas de trading complejos de extremo a extremo.
  • Practical experience applying AI within software engineering environments and driving the adoption of AI-enabled development practices
  • Strong understanding of modern software architectures, design patterns, industry frameworks, and engineering best practices
  • Demonstrated success leading and mentoring engineers within globally distributed teams
  • Expert-level hands-on experience in Core Java, including multithreading, networking, performance optimization, and scalable system design
  • Proven track record in designing, developing, and delivering complex front-to-back enterprise systems end-to-end
  • Excellent stakeholder management, communication, and English language skills, with the ability to engage effectively across both business and technical audiences
  • Experience implementing high-performance, fault-tolerant, and load-balanced solutions, supported by solid mathematical and algorithmic knowledge

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