This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We're seeking a Senior Software Engineer to own our accelerate payment products, building and maintaining the critical systems that handle money movement between Vantaca and our payment partners. This role requires someone who can architect resilient, secure, and compliant payment systems while navigating the complexities of ACH, credit card processing, wire transfers, and payment reconciliation. - Work directly with payment processors, banking partners, and internal stakeholders to ensure accurate, timely payment processing. - Establish patterns and frameworks that will scale across our platform while mentoring other engineers on payment processing best practices. Qualifications - 8+ years of software development experience with C#, .NET Framework, and .NET Core - Proven experience building and maintaining payment processing systems - Deep understanding of payment methods: ACH, credit card processing, wire transfers - Experience with payment reconciliation and handling discrepancies - Strong understanding of payment failure handling, retry strategies, and idempotency patterns - Experience implementing PCI DSS compliance requirements - Advanced SQL knowledge including T-SQL, stored procedures, and query optimization - Experience with payment processor APIs (Stripe, Authorize.net) - Strong problem-solving skills with high attention to detail - Strong technical communication skills, both written and verbal Requirements - Experience with CI/CD pipelines (Azure Pipelines preferred) and Infrastructure as Code (Terraform) - Understanding of transactional consistency, compensation patterns, and exactly-once processing guarantees - Experience with secure credential management, tokenization, and encryption practices - Demonstrated ability to debug complex payment issues across multiple systems Benefits - Medical, Dental, and Vision kick in day one - Unlimited PTO (with a requirement for employees to take a minimum of one continuous week per year) - 401K with Company Match - Remote Flexible - come to the office when needed - Great parental leave benefits - Active employee-led Culture Committee - Ongoing industry and professional development trainings available to all employees

• Design, build, and deploy AI-powered and LLM-driven features for our claim synthesis product, including robust extraction of key information from complex medical documents and human-in-the-loop summarization workflows • Develop and implement hybrid machine learning solutions that leverage statistical models, LLMs, and embeddings-based retrieval techniques such as RAG to improve system accuracy, scalability, and robustness • Write clean, scalable, and efficient code while optimizing the performance of existing AI/ML systems in production • Collaborate closely with data labelers and subject matter experts (SMEs) to rigorously evaluate AI system outputs and continuously improve model performance • Partner with Product teams to rapidly iterate on feedback and deliver impactful features • Translate cutting-edge AI/ML research and novel techniques into production-grade, reliable, and maintainable solutions that operate seamlessly in live customer environments

• Develop efficient infrastructure and tools for automating complex software processes • Implement advanced test harnesses, benchmarking frameworks, and analytical tools to optimize the performance and efficiency of our software and hardware platforms • Apply deep knowledge of operating systems, kernel internals, device drivers, memory management, storage, networking, and high-speed interconnects to build and troubleshoot highly performant systems • Work with engineering teams to understand needs, define requirements, and deliver efficient solutions • Set performance goals, monitor feedback, analyze data, and make continuous improvements for system reliability • Contribute to defining technical strategies and roadmaps for our platform automation initiatives, ensuring alignment with company-wide goals and standard methodologies

• Focus on creating exceptional user and partner experiences that drive engagement and retention. • Partner closely with product managers, designers, and data scientists, data analysts to identify and solve critical user onboarding challenges. • Design, develop, test, and deploy robust APIs, services and data pipelines that enhance user onboarding and overall platform experience. • Implement changes through an agile methodology, prioritizing rapid iteration and continuous improvement. • Utilize data and analytics to measure the impact of your work and identify opportunities for optimization.