Staff Software Engineer (Fintech)

Location: New York, New York, or Charlotte, North Carolina, United States

Base pay: $202,500–$274,000 annually in New York; additional bonus, equity, and benefits may apply.

Company

hirify.global is a financial technology platform whose products include TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

• Own end-to-end technical initiatives for checking, savings, account onboarding, deposits, transfers, cards, and payment flows.
• Design scalable, secure, highly available, low-latency financial systems across data models, ledgers, APIs, and member-facing experiences.
• Design and evolve Kafka-based event streaming and messaging patterns that keep balances, transactions, notifications, and integrations consistent and idempotent.
• Build AI-powered product features and agentic engineering workflows, evaluate their impact, and coach engineers on responsible AI tool usage.
• Lead design reviews, technical execution, requirements gathering, sequencing, test planning, risk management, and cross-functional delivery.
• Partner with sponsor banks, processors, and payment networks on integrations, compliance, auditability, and regulatory obligations while mentoring engineers and improving engineering quality.

Requirements

• 7+ years delivering enterprise-class applications, including strong backend development, API design, and robust client/server contracts; at least 5+ years designing complex distributed systems at scale.
• BS/MS in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Strong proficiency in TypeScript and/or Scala, or another functional/JVM language with the ability to ramp quickly.
• Deep experience designing and consuming web APIs, including hands-on GraphQL schema design and federation; REST and gRPC are also relevant.
• Expertise in scalable microservices, messaging patterns, Kubernetes, Docker, and Terraform.
• Production experience with Kafka or comparable messaging systems and event-driven workflows that are idempotent and exactly-once-effective.
• Hands-on public-cloud development; Google Cloud is strongly preferred, including GKE, Pub/Sub, BigQuery, and Spanner or Cloud SQL.
• Strong relational schema design, NoSQL, and high-volume, low-latency data pipelining experience.
• Proficiency integrating and evaluating AI in production, including LLM prompting, tool/function calling, agentic development workflows, model limitations, and accuracy measurement.
• Grounding in object-oriented and functional design, algorithms, design patterns, automated testing, TDD, unit/integration/functional testing, and CI/CD, plus excellent written and verbal communication.
• Track record of setting technical direction, running design reviews, mentoring senior engineers, and influencing cross-functional partners without direct authority.

Culture & Benefits

• Cloud-native, AI-native engineering environment with continuous delivery and extensive instrumentation.
• Hands-on role with approximately 60–70% of time spent writing production code while setting technical direction.
• Focus on automated testing, CI/CD, observability, performance, security, accessibility, and quality across the full delivery lifecycle.
• Competitive compensation package with performance-based cash bonus, equity rewards, and benefits according to applicable plans.