Lead Java Software Engineer (Risk & Business Intelligence)

Quick Facts

Lead role for building and maintaining a financial risk and business intelligence platform, focusing on distributed systems, real-time data processing, and scalable financial analytics.

Description

Shape the technical direction and deliver robust, scalable solutions using Java and the Spring ecosystem. Work on high-throughput, low-latency services and real-time analytics pipelines powered by Kafka and Apache Pinot, while supporting production and mentoring engineers.

Responsibilities

• Architect and develop end-to-end Java solutions with Spring, owning services for resilience, performance, and scalability.
• Provide technical leadership and mentor engineers through architectural discussions, code reviews, and knowledge sharing.
• Optimize applications for high throughput and low latency; design efficient data models in Microsoft SQL Server and implement caching with Redis.
• Build and maintain message-driven data pipelines using Kafka feeding real-time analytics via Apache Pinot.
• Enhance CI/CD pipelines and deployment workflows; deploy and manage applications on OpenShift and promote a DevOps culture.
• Integrate upstream data sources and downstream consumers; translate complex requirements with project managers and business stakeholders.
• Own the application lifecycle, including critical production support and troubleshooting using risk analytics/margin methodology knowledge.

Requirements

• 8+ years of professional experience designing, building, and deploying enterprise-scale distributed backend systems.
• Deep, hands-on knowledge of modern Java (21+) and the Spring ecosystem (Spring Boot, Spring Security).
• Strong SQL skills and relational database experience, especially Microsoft SQL Server (optimized queries and efficient schema design).
• Proven experience with message-driven architectures (Kafka, RabbitMQ, or similar).
• Demonstrated technical leadership: leading initiatives, making architectural decisions, and mentoring.
• CI/CD experience (e.g., Jenkins, Tekton) and Git version control.
• Containerization/orchestration experience (Docker, Kubernetes, OpenShift) is essential.
• Excellent verbal and written communication skills across technical and non-technical audiences.

Benefits

• Business-critical impact and intellectually stimulating challenges in distributed computing, big data, and financial modeling.
• Modern evolving tech stack with freedom to introduce new technologies and patterns.
• Clear career growth path toward senior technical leadership or management.
• Collaborative global culture focused on continuous learning and respect.
• Competitive compensation (salary and performance-based bonus) and comprehensive benefits, including pension contribution, private medical care, life insurance, paid parental leave, employee assistance program, sports card support, volunteering day off, and cafeteria/flex benefits.