Tech Stack
CassandraHibernateJavaKafkaPythonSparkSpringSQL
About the role
- Manage the Platform Engineering team and contribute to design and development of next-generation AI agent-driven infrastructure
- Architect and deliver a large-scale, AI-based fraud and risk decision platform
- Apply unsupervised, supervised, and agentic AI methods to uncover and stop fraudulent behavior
- Drive development of a real-time and batch unified decision platform that powers enterprise-scale fraud prevention
- Build and optimize distributed, real-time data systems for low-latency decisioning
- Utilize Spark, Flink, Cassandra, and related technologies to enable high-throughput ML pipelines
- Lead, coach, and grow a team of engineers, fostering technical excellence and professional development
Requirements
- BS degree in Computer Science or related field required; MS/PhD preferred
- Fluent in Java or C++ programming, with knowledge of Python; hands-on in coding, system design, and architecture
- 3+ years of experience leading or managing teams
- 8+ years of software development experience
- Solid understanding of AI/ML concepts (unsupervised, supervised, and emerging approaches such as agentic AI); experience applying ML in production systems is a strong plus
- Familiarity with relational databases, SQL, and ORM frameworks (JPA, Hibernate) is a plus
- Experience with big data technologies (Cassandra, Flink, Spark, Kafka) preferred
- Knowledge of the Spring Framework is a plus
- Exposure to test-driven development and high-quality engineering practices
- Excellent oral and written communication skills
- Strong team spirit and collaboration mindset