Aperia

Aperia

Full Stack Java Engineer (React)

Dallas, Texas, United States; United States Remote · Full-time

Sponsorship not specifiedDetected 7 days ago
JavaReactHTMLCSSSpringFull-Stack DevelopmentPostgreSQLMySQLAWSTerraformCI/CDRESTRabbitMQOAuthAgileJUnitResearchCommunicationAccounts Payable

About the role

  • You'll join a mid-size, distributed team working across the full stack - from Terraform infrastructure to Spring Boot services to React interfaces and database migrations.
  • Aperia serves banks, processors, payment facilitators, merchant service providers, ISOs, and government entities.
  • This role offers technical ownership, a collaborative culture, and opportunities to shape product and architecture.

Requirements

  • Minimum 4 years hands-on experience with Java and Spring Boot (MVC and/or WebFlux/Reactor).
  • Strong experience with React, REST APIs, HTML5, CSS3, and Bootstrap-based responsive UI.
  • Hands-on experience with multi-tier/layer distributed applications.
  • Bachelor's Degree in Computer Science, Information Systems, or related field (or equivalent experience).

Nice to have

  • Experience with messaging systems (RabbitMQ, AWS SQS/SNS, or similar) and event-driven patterns.
  • Practical AWS experience (Lambda, ECS, S3, RDS, SSM).
  • Knowledge of OAuth2/Spring Security, JWT, and policy-based authorization.
  • Testing discipline with JUnit, Mockito, or similar frameworks.
  • Strong understanding of performance, security, best practices, and design patterns.
  • Experience with Web Services
  • familiarity with WCF or.NET is a plus but not required.
  • Fintech/payments domain knowledge (ACH, NACHA, reconciliation, FBO models).

Benefits

  • Health insurance; Health savings account
  • Dental insurance; Vision insurance
  • 401(k) matching; Life insurance
  • Paid time off; Parental leave; Disability insurance
  • Childcare assistance; Education reimbursement
  • Fitness membership; Volunteer time off

This listing is sourced directly from Aperia's careers page and normalized into a canonical job model.