> Markdown version of [/jobs/ext/3656896-staff-software-engineer](https://www.wearedevelopers.com/jobs/ext/3656896-staff-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer - **Company:** AIRPAY, INC. - **Location:** Hoboken, NJ, United States - **Experience:** Expert - **Salary:** $160,000.0 - $220,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Code Review, Continuous Integration, Relational Databases, Machine Learning, MySQL, Node.Js, Performance Tuning, Software Architecture, Redis, Software Engineering, SQL Databases, Systems Integration, TypeScript, Real Time Systems, Large Language Models, Backend, Build Management - **Published:** October 9, 2026 - **Apply:** https://www.disabledperson.com/jobs/75919740-staff-software-engineer ## About the Role * 10+ years of software engineering experience, with a history of increasing scope, ownership, and technical leadership * Strong track record building and scaling complex web applications and backend systems * Deep experience with modern backend architecture and systems design * Strong hands-on experience with technologies such as TypeScript, Node.js, MySQL, Redis, and AWS, or comparable tools * Expertise in relational data modeling, SQL, and performance optimization * Experience designing event-driven, asynchronous, or real-time systems * Good architectural instincts and the ability to simplify systems rather than over-engineer them * Strong communication skills and the ability to influence across teams * A builder mindset: pragmatic, curious, fast-moving, and willing to go deep when needed Especially valuable experience * Payments, fintech, or transaction-heavy systems * Healthcare, insurance, or other regulated environments * PCI, HIPAA, or security/compliance-sensitive systems * ML or LLM integration in production applications * Platform or infrastructure engineering * Growth-stage startup experience, especially in staff or principal-level roles ## Description We are hiring a Staff Software Engineer to help lead the next phase of AirPay's technical evolution. This is a high-impact, high-autonomy role for an engineer who wants to do more than just build features. You will help define architecture, guide major technical decisions, mentor other engineers, and partner closely with leadership on the hardest and most important problems in the business. You will work across core products, platform, payments, real-time systems, internal tooling, and AI-powered experiences. Some problems are deeply technical. Others are ambiguous and cross-functional. The common thread is leverage where the work you do should make the entire engineering organization and product platform better. You should be excited about building in an environment where the pace is high, the problems are real, and the best answer is not always obvious. What you'll work on AirPay sits at the intersection of: * Healthcare infrastructure * Payments and financial workflows * Real-time event processing * Machine learning / LLM driven product experiences You may work on things like: * Designing the systems that power patient payments, billing workflows, and insurance-related operations * Building reliable event-driven infrastructure for high-volume, low-latency workflows * Improving the architecture, performance, and maintainability of core platform systems * Integrating payment providers and building reconciliation, ledger, and transaction infrastructure * Bringing ML and LLM capabilities into production in ways that create real product value * Reducing complexity across the stack so teams can ship faster and more confidently * Raising the quality bar through better technical design, code review, documentation, and engineering standards What you'll do * Set technical direction for major parts of the platform and influence the broader architecture roadmap * Lead cross-team initiatives that improve scalability, reliability, and engineering velocity * Make strong technical decisions in ambiguous environments, with good judgment around tradeoffs * Design and build critical systems end-to-end, from architecture through production * Partner with product, design, data, and leadership to translate business goals into technical strategy * Mentor senior engineers and help level up the team through hands-on collaboration * Improve developer experience, observability, CI/CD, and operational excellence * Evaluate new technologies and approaches pragmatically, including where AI can create durable advantage * Write clear RFCs, design docs, and technical proposals that help teams align and move faster