Senior Staff Software Engineer, Fintech Invoicing & Payments
Role Overview
Lead complex application segments end-to-end as a Senior Staff Software Engineer at Intuit.
Join the Fintech Invoicing & Payments team building AI-native sales transaction experiences for QuickBooks Online.
Enable small businesses to get paid while ensuring LLM-driven workflows operate accounting systems reliably and safely.
Key Skills for This Role
Full Job Posting
Role Overview
Lead complex application segments end-to-end as a Senior Staff Software Engineer at Intuit.
Join the Fintech Invoicing & Payments team building AI-native sales transaction experiences for QuickBooks Online.
Enable small businesses to get paid while ensuring LLM-driven workflows operate accounting systems reliably and safely.
Responsibilities
- Drive significant technology initiatives across horizontal layers of the architecture.
- Build solutions from merchant-facing React forms through MCP tools to GraphQL or STS writes in QuickBooks.
- Create secure, scalable, durable designs that balance immediate delivery with long-term architecture.
- Partner with Omni, the QBO monolith, payments, design, and external MCP-host partners.
- Guide AI applicability for customer problems and contribute beyond a single repository's ownership.
- Validate solution accuracy and prevent regressions before they affect customer books.
Qualifications
- 10+ years developing systems or software for large business environments.
- 7+ years designing complex distributed systems, management products, or business applications.
- Full-stack experience applying AI technologies and tools to frontend or backend solutions.
- Experience with SageMaker, Vert.x, LangChain, large language models, prompt engineering, DialogFlow, and Python.
- Experience with at least one frontend technology such as React or Angular, or backend technology such as Java, TypeScript, Spring, or Express.js.
- 1+ years working on teams that built AI-native applications.
- Ability to drive velocity in a highly matrixed stakeholder environment.
- Bachelor's or master's degree in Computer Science or a related area.
- Experience coding with ChatGPT and Claude, including custom plugins or applications.
Technical Focus
- Apply LLM and prompt or tool-description engineering to accounting workflows.
- Use agent orchestration frameworks such as LangChain or LangGraph-style tools.
- Use evaluation tooling to measure accuracy and validate AI-enabled solutions.
- Build robust software with high availability and optimal performance.
Compensation
- Expected base pay range in Mountain View is $220,500 to $298,500 per year.
- The role is eligible for cash bonus, equity rewards, and benefits under applicable plans.
Benefits
- Compensation includes a pay-for-performance rewards approach.
- Pay is based on job-related knowledge, skills, experience, and work location.
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