Computer Systems Analyst, eCommerce

Company Overview:

When it comes to IT solution providers, there are a lot of choices. But when it comes to providers with innovative and differentiating end-to-end service offerings, there’s really only one:
Zones – First Choice for IT. TM

Zones is a Global Solution Provider of end-to-end IT solutions with an unmatched supply chain. Positioned to be the IT partner you need, Zones, a Minority Business Enterprise (MBE) in business for over 35 years, specializes in Digital Workplace, Cloud & Data Center, Networking, Security, and Managed/Professional/Staffing services. Operating in more than 120 countries, leveraging a robust portfolio, and utilizing the highest certification levels from key partners, including Microsoft, Apple, Cisco, Lenovo, Adobe, and more, Zones has mastered the science of building digital infrastructures that change the way business does business ensuring whatever they need, they can Consider IT Done.

Follow Zones, LLC on Twitter @Zones, and Linked In and Facebook.

Position Overview:

seeks a Computer Systems Analyst with a specialty in eCommerce to analyze business and technical requirements and design, build, and maintain the enterprise-grade Java systems supporting the company's web platforms, payment-processing systems, and internal APIs. The role also includes designing and building AI-based analysis tools that process transactional and operational data. This position requires the theoretical and applied knowledge gained through a Master's degree program in Computer Science — including advanced coursework in algorithms, distributed systems, software architecture, database systems, and statistical/machine-learning foundations — to perform duties that go beyond routine systems administration or maintenance work.

The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Analyze business and technical requirements for the company's eCommerce systems, and design, develop, and maintain server-side Java applications and services using Java SE/EE, Spring, and Spring Boot frameworks to meet those requirements (approx. 30% of time).
• Evaluate and enhance Java-based web applications, including front-end integration, servlets, and MVC frameworks, to ensure the performance and scalability of customer-facing eCommerce systems (approx. 20% of time).
• Conduct systems analysis of the company's Java infrastructure: assess and recommend system architecture, evaluate distributed-computing trade-offs, tune application performance, and coordinate integration with enterprise infrastructure (approx. 15% of time).
• Analyze, develop, and secure web payment-processing functionality, including integration with payment gateways/processors, tokenization, and adherence to PCI DSS and related data-security standards (approx. 15% of time).
• Analyze integration requirements and design, build, and document RESTful and/or SOAP APIs for internal and partner-facing consumption, including authentication, versioning, and API-gateway configuration (approx. 10% of time).
• Design and build AI-based analysis tools — applying statistical modeling and machine-learning techniques (e.g., anomaly detection, predictive analytics, natural-language processing of transaction/log data) — to extract actionable insight from operational and payments data (approx. 10% of time).
• Participate in systems documentation, code reviews, unit/integration testing, CI/CD pipeline maintenance, and Agile ceremonies.
• Troubleshoot program and system malfunctions to restore normal functioning.
• Test, maintain, and monitor computer programs and systems, including coordinating the installation of computer programs and systems.
• Use object-oriented programming languages, as well as client and server applications development processes and multimedia and Internet technology.
• Analyze information processing or computation needs and plan and design computer systems, using techniques such as structured analysis, data modeling, and information engineering.
• Consul…