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java docker kubernetes machine learning distributed systems📋 Description
- Own strategy, roadmap, and delivery of real-time fraud detection systems.
- Lead architecture decisions and develop managers and senior engineers.
- Partner with PM/Design/Ops/Strategy to shape fraud management products.
- Build and scale a high-performing engineering organization with clear career paths.
- Drive roadmap prioritization to improve detection rates and reduce false positives.
- Ensure reliability, scalability, and cost efficiency of real-time decisioning.
🎯 Requirements
- 8+ years backend engineering with 2+ years in engineering management.
- Fintech/risk product engineering experience.
- Bachelor’s degree in Computer Science or related field.
- Java expertise with multi-threading and high-concurrency patterns.
- Distributed systems and high-availability experience.
- Spring / Spring Boot, REST, and Gradle/Maven; Docker and Kubernetes experience.
🎁 Benefits
- Lead a risk platform with global scale impact.
- Work with cutting-edge tech: ML, LLM, graph.
- Collaborative, ownership-driven culture.
- Global collaboration across product and engineering.
- Strong career growth and leadership opportunities.
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