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Aperia
Dallas, Texas, United States
Source: Aperia careers · View original posting
From Aperia's posting. “We” and “our” refer to the employer.
Aperia Solutions is a leading payments SaaS company headquartered in Dallas, Texas. We build risk management, residuals accounting, compliance, and analytics platforms used by merchant banks, ISOs, payment processors, and other participants in the credit card payments ecosystem. Operating under PCI DSS 4.0 compliance across dual on-premises datacenters (Allen, TX and Chicago, IL) plus Azure cloud, we process high-volume payment data for some of the industry’s largest players.
We’re in the middle of a significant platform modernization program: a next-generation risk analysis and scoring platform on Microsoft Fabric, an AI-powered ingestion platform, new AI-native applications, and ongoing evolution of the products our clients rely on every day. The teams executing this work are deliberately small and senior, with executive-level support and minimal bureaucracy. Every senior hire is a founding contributor to the architecture and the code.
Aperia is hiring a mid-senior level software engineer to join the team building our next-generation risk analysis and scoring platform, with opportunities to contribute across our wider product portfolio — the AI-powered ingestion platform, residuals and compliance products, and client-facing web applications. You’ll work under the technical direction of our Lead Software Engineer, alongside a Senior Data Platform Engineer and a Senior DevOps engineer, with big-picture system design owned by dedicated architects.
It’s a deliberately small, senior-leaning team — which means real features, real code review, and real growth, not ticket-grinding.
Day to day, you’ll build production C#/.NET services and REST APIs, develop React frontends for client-facing applications, and contribute to our Python-based agentic work as you grow into it. This is a role for an engineer with a few strong years behind them who wants to level up fast: you’ll get direct mentorship from senior engineers, exposure to a modern Azure/Kubernetes platform, and a team culture that treats AI-assisted development as a first-class skill.
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