DataVisor

Software Engineering Manager, Platform

DataVisor

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Job Level

SeniorLead

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
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