Aurora Payments is a leading fintech company that provides embedded payment solutions for ISVs and small-to-midsize businesses. They are seeking a Software Engineer with expertise in .NET/C# to architect, build, and maintain critical payment processing systems that handle billions of dollars in transactions. The role involves working on scalable payment systems, integrating AI capabilities, and ensuring data security and compliance.
Responsibilities:
- Build scalable payment processing systems using .NET/C# that handle high-volume, mission-critical transactions
- Design and implement CQRS (Command Query Responsibility Segregation) patterns for event-driven payment workflows and real-time data synchronization
- Develop and maintain payment processor integrations with major payment processors
- Build robust RESTful APIs and event-driven microservices that power our payment solutions for ISVs and software platforms
- Integrate AI/ML capabilities into payment systems for fraud detection, risk assessment, transaction optimization, and intelligent routing
- Work on real-time transaction processing with a focus on reliability, security, performance, and data consistency
- Implement PCI-compliant systems ensuring the highest standards of data security and regulatory compliance
- Troubleshoot and resolve technical issues in production payment systems at scale
Requirements:
- 3-5+ years of professional software development experience with .NET/C# in production environments
- Fintech or payments industry experience, with deep knowledge of payment processor integrations (Stripe, Fiserv, First Data, Worldpay, TSYS, etc.)
- Experience implementing CQRS (Command Query Responsibility Segregation) and event sourcing patterns in production systems
- Hands-on experience with Google Cloud Platform (GCP)
- Experience working with modern AI/ML technologies such as integrating AI models, working with LLMs, implementing AI-powered features, or collaborating with data science teams
- An understanding of payment processing workflows including authorization, capture, settlement, refunds, chargebacks, and reconciliation is a plus but not required
- Experience in designing and building RESTful APIs and event-driven microservices for high-traffic, low-latency systems
- Basic knowledge of PCI-DSS compliance and secure payment data handling, tokenization, and encryption is a plus but not required
- Problem-solving skills with the ability to debug complex distributed payment systems
- Experience with CockroachDB and Postgres or other distributed SQL databases for globally distributed, resilient data storage
- ASP.NET Core and SignalR experience for building real-time web applications and payment notifications
- Background in fraud detection systems or risk management platforms is a plus but not required
- Knowledge of network tokenization, 3DS authentication, or Level 2/3 card processing is a plus but not required
- Experience with observability tools (Datadog, New Relic, Google Cloud Monitoring)
- Understanding of OAuth 2.0, OpenID Connect, and API security best practices