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# Software Engineering Manager - Platform Team

- **Company:** Datavisor, Inc.
- **Location:** Mountain View, CA, United States
- **Experience:** Experienced
- **Salary:** $180,000.0 - $350,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Big Data, C++ (Programming Language), Relational Databases, Fraud Prevention and Detection, Hibernate (Java), Intrusion Detection and Prevention, Java Persistence API, Spring Framework, Python (Programming Language), Machine Learning, Object-Relational Mapping, Software Engineering, SQL Databases, Test-Driven Development (TDD), Apache Spark, Build Management, Information Technology, Apache Flink, Cassandra, Real Time Data, Apache Kafka, Machine Learning Operations, Virtual Agents
- **Published:** June 23, 2026
- **Apply:** https://www.juju.com/job/00000000gajhui

## About the Role

+ 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

## Description

We are seeking a Software Engineering Manager to lead our Platform Engineering team. This team is at the heart of DataVisor's detection capabilities, building the AI-based fraud and risk decision platform that powers real-time and batch unified decisioning at enterprise scale.

You will manage a talented team of engineers while also contributing to the design and development of our next-generation AI agent driven infrastructure. Together, you'll enable our customers to detect and stop complex fraud patterns in real time.

What You'll Do

 + Design & Build: Architect and deliver a large-scale, AI-based fraud and risk decision platform.

 + Innovate in Fraud Detection: Apply unsupervised, supervised, and agentic AI methods to uncover and stop fraudulent behavior.

 + Unify Decisioning: Drive the development of a real-time and batch unified decision platform that powers enterprise-scale fraud prevention.

 + Scale Infrastructure: Build and optimize distributed, real-time data systems for low-latency decisioning.

 + Leverage Big Data: Utilize Spark, Flink, Cassandra, and related technologies to enable high-throughput ML pipelines.

 + Lead & Mentor: Manage, coach, and grow a team of engineers, fostering technical excellence and professional development.


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