Java/AI Developer

Enterprise Engineering Inc. (EEI)

New York (NY)

On-site

USD 130,000 - 180,000

Full time

6 days ago
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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

***MUST have Fraud environment experience

***NO Third Party or Agency Resumes please

Fraud team is seeking a hands-on innovation- driven Java Developer who can actively leverage AI- powered tools across SDLC to design, build and scale next generation Fraud detection solutions. Someone who thrives in ambiguity.

A builder and problem- solver – not just a coder

Someone who innovates at speed and scale

Java developer who can adopt AI tools for SDLC

Experience level 8-10 years

Need hands on technologists to solve green field problems and innovate at acceleration and scale.

Skills Required

  • Commercial experience of core Java programming with strong proficiency
  • Experience of working with a functional programming language
  • Fundamental knowledge of Microservices
  • Understanding of distributed system design and infrastructure
  • Strong experience with distributed caching (REDIS) and relational databases, preferably with MSSQL, Oracle, Sybase IQ
  • Good Exposure to middleware- Kafka, MQ
  • Experience of working in a Linux environment
  • Strong analytical and problem-solving skills
  • Strong oral and written communication skills
  • Excellent interpersonal skills and professional approach
  • Ability to work effectively in a global and dynamic team
  • Experience in the full software development life cycle
  • Experience working in an agile team using Agile and DevOps practices & tools
  • Experience working with Continuous Integration systems
  • Experience with scheduler like Cron, Autosys, Control-M
  • Experience with cloud-ready development, Docker containers
  • Good to Know Scala Functional Programming (Willingness to learn)
  • Good to have knowledge of automation and scripting languages (Python preferred)
  • Good to have knowledge of Big Data – Hadoop, Spark etc.
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