Backend Software Engineer (Finance/Trading background preferred)

Role and team

Software engineering

• Design and develop software products using AI-assisted and agentic engineering practices and agile methodologies.
• Analyze business requirements, design and implement solutions, and incrementally enhance the product.
• Deliver robust, scalable, high-quality products integrated with enterprise systems and access channels.
• Ensure code is secure, stable, scalable, and operational; resolve high-priority defects and deploy production fixes.
• Improve engineering productivity, quality, automation, and development lifecycle efficiency using AI technologies.
• Collaborate with global IT and business teams on trading-stream applications and product improvement.

Technical experience

• At least six years of experience in Java, Spring Boot, REST, and related server-side technologies.
• Experience with Kafka and distributed caches; Apache Ignite is preferred, with Hazelcast and Coherence also listed.
• Experience building robust, scalable software integrated into a large financial institution’s enterprise system landscape.
• Proven knowledge and experience in security and cloud hosting architectures.
• Experience creating software documentation, including architecture diagrams, UML, and sequence diagrams.
• Working knowledge of software design patterns, distributed systems, and modern web technologies.
• Proficiency in React, TypeScript, and WebSockets, including STOMP or Socket.io.

Additional skills and preferences

• Kotlin is nice to have.
• Hands-on professional experience with GitHub Copilot, Copilot Chat, or equivalent AI-assisted engineering tools is beneficial.
• Experience or interest in finance, including Order Management, Electronic Trading, or Securities Trading, is a plus.
• Candidates should be comfortable with complex, data-heavy user interfaces and distributed systems.

Personal attributes

• Strong problem-solving skills and attention to detail.
• Good communication and collaboration skills.
• Ability to take ownership of features and technical solutions with guidance from leads.
• Willingness to learn trading workflows and financial market concepts, and to adopt emerging AI-enabled engineering practices.