Staff Backend Engineer

Overview

Intuit is a global technology platform that thrives on self-disruption, constantly identifying the next breakthroughs in AI and design to power prosperity for millions.

We are looking for a Staff Backend Engineer to join the Fintech AI Experience Team. In this strategic role, you will architect and build the next generation of transformative Fintech capabilities, translating high-impact AI models into production-grade solutions tailored for SMBs. This is a unique opportunity for a senior technical leader to drive immediate, massive value at the intersection of Finance and AI.

If you are a visionary engineer passionate about building world-class, high-scale platforms that redefine an industry your place is with us.

Responsibilities

• You will seek to improve performance by refactoring existing services and flows
• You will mentor more junior team members and help them learn and progress professionally.
• You will collaborate with various stakeholders - product management, analysts, data engineers, customer success, and more.
• You will contribute by owning the designing and implementing new features and enhancements and represent the team in the technical aspect during discussions and architecture roundtables
• You will be hands-on, 70 - 80% coding
• You will serve as the immediate go-to person within the team for any tech-related issue or discussion
• You’ll be a good listener, while also having strong opinions on what is right You’ll be fun to be around and work with :)
  
  

• 8+ years of HO experience in OOP software development, with a deep expertise in Python this is a core requirement for the role.
• Strong proficiency in Java specifically in developing enterprise-grade applications using the Spring/SpringBoot framework.
• Extensive experience working with both Relational and NoSQL databases at scale.
• A strong grasp of system architecture, with the ability to design scalable, resilient, and high performance distributed systems.
• Demonstrated experience driving large-scale, cross functional projects end to end, moving from initial concept to global production.
• Familiarity with Kubernetes or similar containerized frameworks.
• You are knowledge and experienced with AWS cloud environment and services
• A deep appreciation for clean, maintainable, and well documented code, backed by rigorous unit and integration testing practices.
• Excellent English (oral and written) and the ability to collaborate effectively with US based teams.
• Experience building and deploying AI Agents or utilizing LLM orchestration frameworks - advantages