Software Engineering Manager - Platform Team
Leads Platform Engineering team building scalable AI-based fraud detection platform with real-time decisioning. Manages engineers, architects systems using big data tech like Spark/Flink, requires 3+ years management and 8+ years development experience.
About the job
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
Compensation: Annual salary range of USD $180,000 – $350,000, commensurate with experience.
Skills
Java, C++, Python, Spark, Flink, Cassandra, Kafka, Spring Framework, SQL, AI/ML
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