Senior Java & AI Fraud Engineer

Enterprise Engineering Inc. (EEI); New York (NY); On-site; USD 130,000 - 180,000; Full time

Job summary

Enterprise Engineering Inc. (EEI) is seeking a hands-on Java Developer with 8–10 years of experience in the Fraud domain. The role emphasizes building scalable fraud-detection solutions using Java, with AI-assisted tooling across the SDLC.

You will work in a fast-paced environment, collaborating with a global team to solve green-field problems and deliver at speed and scale, while leveraging modern tech like microservices, Kafka, Redis, and containerized deployments.

Qualifications

• Commercial experience with core Java programming and strong proficiency.
• Experience with a functional programming language.
• Fundamental knowledge of microservices architecture.
• Understanding of distributed system design and infrastructure.
• Experience with distributed caching (Redis) and relational databases (MS-SQL, Oracle).
• Exposure to middleware like Kafka and MQ.
• Linux environment experience.
• Strong analytical and problem‑solving skills.
• Excellent oral and written communication and teamwork.
• Experience in full SDLC and Agile/DevOps practices.
• Experience with CI systems and scheduling tools (Cron, Autosys, Control-M).
• Knowledge of cloud-ready development and Docker containers.
• Willingness to learn Scala FP and Python scripting.
• Exposure to Big Data (Hadoop, Spark).

Responsibilities

• Design, build, and scale fraud-detection solutions using Java in a fast-paced environment.
• Apply AI-assisted tools across the SDLC to accelerate delivery.
• Collaborate in a global, dynamic team to solve green-field problems.
• Participate in Agile/DevOps rituals and CI workflows.

Skills

Java

Functional programming

Microservices

Distributed systems

Redis

MS-SQL/Oracle

Kafka

MQ

Linux

Analytics

Communication

Agile/DevOps

CI

Cron/Autosys/Control-M

Docker

Scala (FP)

Python scripting

Big Data (Hadoop/Spark)

Tools

Kafka

MQ

Docker

Cron

Autosys

Control-M

Hadoop

Spark

Job description

Enterprise Engineering Inc. (EEI) is seeking a hands-on Java Developer with 8–10 years of experience in the Fraud domain. The role emphasizes building scalable fraud-detection solutions using Java, with AI-assisted tooling across the SDLC.

You will work in a fast-paced environment, collaborating with a global team to solve green-field problems and deliver at speed and scale, while leveraging modern tech like microservices, Kafka, Redis, and containerized deployments.