Job Summary
The role involves creating, developing, and managing high-performance, low-latency distributed services that aid internal fraud detection and case management. The individual will work closely with engineering teams, product stakeholders, and fraud analysis experts to enhance platform scalability.
Responsibilities
- Design and implement distributed services to improve fraud detection mechanisms.
- Collaborate with cross-functional teams to enhance platform capabilities.
- Ensure low-latency performance in all developments.
- Manage the operation of high-throughput systems.
Qualifications
- Bachelor’s degree in Computer Science or a related discipline.
- A minimum of 4 years of experience in software engineering, focusing on backend or distributed systems.
- Strong skills in programming languages such as Java and Python.
- Experience with distributed technologies such as Kafka or Elasticsearch.
