Director of Java Backend Engineering (Core Trading Technology)

• As a Director (f/m/x) in Java Backend Engineering, you will set the technical direction for high-performance backend systems in a latency-sensitive electronic trading environment and lead a globally distributed engineering team delivering front-to-back trading solutions
• Define and drive the overall technical vision, architecture strategy, and delivery of end-to-end trading platforms
• Lead and develop a globally distributed engineering organization, including mentoring senior engineers and supporting hiring activities
• Oversee the design, implementation, and continuous improvement of complex front-to-back trading systems
• Evaluate, prototype, and introduce innovative technologies and solutions to address business and technical challenges
• Champion AI-assisted engineering practices, tools, and frameworks to enhance productivity, quality, and efficiency
• Establish and maintain engineering excellence through architecture governance, code reviews, standards, and technical mentorship
• Collaborate with senior business stakeholders, architects, QA, and DevOps teams to align priorities, drive automation, and optimize the software delivery lifecycle

Qualifications

• 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