AI Accelerated Senior Java Engineer
$128,000–$216,000 year
On-siteBerkeley Heights, New Jersey, United States
Job Summary
Design and deliver payment software solutions for real-time APIs and high-volume omnichannel commerce processing using reactive microservices. Analyze business processes to define scalable, secure payment solutions and apply AI tools consistently across delivery workflows. Improve engineering quality by sharing reusable prompts, coding patterns, and testing approaches while leading specification-driven practices with SpecKit. Validate product changes through comprehensive unit, integration, and performance testing, and conduct code reviews evaluating AI-assisted suggestions for security and maintainability. Guide teams on selecting AI agents for design, coding, and debugging, and contribute to API roadmap execution and CI/CD strategies. This role is fully on-site in New Jersey or New York and requires valid U.S. work authorization.
Required Qualifications
- 8+ years of experience in software engineering using Java, Spring Boot, Spring Framework, Maven, Git, JIRA, Confluence, and enterprise software development life cycle practices
- 8+ years of experience designing and delivering microservices, real-time APIs, high-volume transaction processing applications, and payment platform capabilities in enterprise environments
- 8+ years of experience developing secure APIs and distributed services with protocol translation, orchestration, enrichment, and omnichannel consumption patterns
- 6+ years of experience creating automated tests using JUnit, Mockito, Postman, JMeter, integration testing, component testing, mock frameworks, virtual services, and performance testing practices
- 4+ years of experience using SpecKit or similar specification-driven engineering practices to define requirements, acceptance criteria, implementation plans, and validation expectations
- 2+ years of experience using AI-assisted engineering tools such as GitHub Copilot, Copilot Chat, Codex, AI coding agents, or similar platforms to improve code development, testing, documentation, and delivery quality
- 2+ years of experience creating or refining AI prompts, instruction sets, engineering playbooks, and reusable guidance for consistent AI-assisted development
- Experience using quality and security scanning tools such as Sonar, Fortify, WebInspect, or similar tools to identify findings and improve code quality and risk posture
- Experience working with Oracle, SQL Server, MySQL, or similar relational databases and enterprise data access patterns
- Experience applying object-oriented design patterns, domain-driven design principles, test-driven development, and enterprise architecture frameworks
- Experience working with cloud and platform technologies such as Amazon Web Services (AWS), Microsoft Azure, Google Cloud, Pivotal Cloud Foundry (PCF), Kubernetes, Jenkins, GitLab CI, or equivalent technologies
- Strong written and verbal communication skills with the ability to collaborate across engineers, technical leads, delivery teams, and stakeholders
- Bachelor's degree in computer science, software engineering, or a related field, or equivalent combination of education, related experience and/or military experience
- Valid and unrestricted U.S. work authorization
- This role is fully on-site
Desired Qualifications
- 10+ years of experience in enterprise payments, commerce platforms, cloud-native engineering, or large-scale distributed systems
- Experience coaching engineers on prompt quality, AI-assisted coding workflows, agent selection, code review practices, test generation, debugging, refactoring, and documentation standards
- Experience defining AI usage standards, measuring adoption quality, tracking delivery outcomes, and improving engineering practices based on delivery metrics and defect trends
- Relevant certifications in cloud, security, architecture, agile delivery, payments, or AI-assisted software engineering, or equivalent validated experience
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