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Software Engineering Manager - Platform Team Job Opening In Mountain View – Now Hiring DataVisor


Job description

DataVisor is a next-generation SaaS company that protects the world’s largest enterprises from fraud and money laundering.

Our award-winning AI decision platform combines industry-leading unsupervised machine learning (UML) with advanced supervised models to stop fraudulent activity across financial transactions, mobile growth, social networks, and e-commerce.

We partner with leading global brands, delivering solutions built on top of our highly scalable platform.

Behind these innovations is a world-class team of experts in big data, security, and distributed infrastructure, thriving in a culture that is open, collaborative, and results-driven.

Join us and help push the boundaries of what’s possible in fraud detection.


Role Summary

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.


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


Benefits

Why Join Us


+ Impact at Scale: Work on fraud detection systems processing billions of events daily.

+ Cutting-Edge Tech: Push the frontier in streaming, agentic AI, and big data infrastructure.

+ Career Growth: Lead a high-impact team with opportunities to shape technical direction and grow into senior leadership.




Required Skill Profession

Other General


  • Job Details

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Unlock Your Software Engineering Potential: Insight & Career Growth Guide


Real-time Software Engineering Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Software Engineering in Mountain View, United States, highlighting market share and opportunities for professionals in Software Engineering roles.

72165 Jobs in United States
72165
912 Jobs in Mountain View
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Download Software Engineering Jobs Trends in Mountain View and United States

Are You Looking for Software Engineering Manager Platform Team Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at DataVisor adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Mountain View. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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DataVisor interview tips for Software Engineering Manager   Platform Team

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