eCommerce Systems Analyst — Java, AI & Payments

Zones, LLC; United States; On-site; USD 106,000 - 110,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Life insurance

Disability insurance

Voluntary accident insurance

Hospitalization and critical illness

Job summary

Zones, LLC seeks a Computer Systems Analyst specialized in eCommerce to design and maintain enterprise-grade Java systems supporting web platforms, payment-processing, and internal APIs.

The role includes building AI-based analysis tools that process transactional data and requires a Master’s in Computer Science, with expertise in algorithms, distributed systems, software architecture, and ML foundations. A global IT solutions leader invites innovation.

Qualifications

• Master's degree in Computer Science or foreign equivalent.
• 2 years of experience in systems analysis and software development.
• Experience with Java, Spring/Spring Boot, Hibernate/JPA, RESTful/SOAP APIs, and databases.

Responsibilities

• Analyze business and technical requirements for eCommerce systems and design, develop, and maintain server-side Java applications.
• Evaluate and enhance Java-based web applications for performance and scalability.
• Design, build, and document RESTful/SOAP APIs for internal/partner use.
• Develop AI-based analysis tools to extract actionable insights from data.
• Collaborate in CI/CD, code reviews, and Agile ceremonies.

Skills

Java

Spring/Spring Boot

Hibernate/JPA

RESTful/SOAP APIs

SQL/NoSQL databases

Git

Payment processing integration

Machine learning libraries

Cloud infrastructure (AWS/Azure)

Docker/Kubernetes

Distributed systems

CI/CD tooling

Education

Master's degree in Computer Science

Tools

Jenkins

GitHub Actions

Job description

Zones, LLC seeks a Computer Systems Analyst specialized in eCommerce to design and maintain enterprise-grade Java systems supporting web platforms, payment-processing, and internal APIs.

The role includes building AI-based analysis tools that process transactional data and requires a Master’s in Computer Science, with expertise in algorithms, distributed systems, software architecture, and ML foundations. A global IT solutions leader invites innovation.