Job description

Join Intuit’s QuickBooks Workforce Solutions team as a Staff Software Engineer! We’re rapidly innovating to deliver game-changing Human Capital Management (HCM) and team management capabilities that power prosperity worldwide. Our group is a fast-paced team focused on pioneering workforce tools and having fun while doing it. You will be part of a team of energetic engineers building AI-driven, cloud-native software using a modern stack of Java, Spring Boot, React, and TypeScript. We leverage AWS and Kubernetes to ship continuously while leaning into AI to solve complex problems end-to-end. If you are passionate about writing high-quality, well-architected code and raising the engineering bar, come join us. It's time to love what you do. Responsibilities • Architect analytical and customer-centric platforms that are scalable, secure, maintainable, and interoperable across a large ecosystem of systems, • Stay deeply hands-on, contributing roughly 40 to 60 percent to development across all phases of the software lifecycle, with the remaining time spent on architecture, technical strategy, cross-team alignment, and raising engineering quality. • Drive the most complex, ambiguous, cross-team technical problems to resolution, spanning multiple teams and domains, and ensure end-to-end quality in both technology and customer experience. • Define and evolve the technical standards, patterns, and reference architectures that other engineers and teams build on, and establish how we measure the impact, reliability, and safety of AI in production. • Take AI integrations to production responsibly: design evaluation, observability, and guardrail frameworks, and assess impact on software performance, seller productivity, and customer satisfaction using clear metrics. • Influence and communicate effectively with senior product and business leadership, translating technical strategy and trade-offs for non-technical audiences and shaping the roadmap. • Serve as a technical leader and force multiplier: coach and mentor Staff and senior engineers, grow the bench of AI-capable engineers, and lead through influence across the cross functional org. • Stay current with the rapidly evolving AI and data landscape, evaluate and introduce emerging technologies, and proactively identify high-leverage opportunities to apply AI across the platform. Qualifications • 12+ years of relevant experience building web, software, or data-intensive applications, with a track record of technical leadership at the Senior staff level or above. • Demonstrated experience architecting end-to-end ecosystems for analytical and customer-centric platforms at scale. • Expert-level proficiency in at least one object-oriented language (Java/J2EE or C#), and the judgment to make sound design decisions across large, distributed systems. • Hands-on experience designing and shipping AI/ML capabilities in production, ideally including LLM-based or agentic systems (multi-agent orchestration, retrieval-augmented generation, prompt and context engineering, agent memory, evaluation, and guardrails). • Proven ability to influence technical direction across teams and to communicate complex trade-offs to senior product and business leaders. • BS/MS in Computer Science or equivalent practical experience. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: New York $220,500 - $298,000

Requirements

Must-haves

Architect analytical and customer-centric platforms that are scalable, secure, maintainable, and interoperable across a large ecosystem of systems,
Drive the most complex, ambiguous, cross-team technical problems to resolution, spanning multiple teams and domains, and ensure end-to-end quality in both technology and customer experience.
Define and evolve the technical standards, patterns, and reference architectures that other engineers and teams build on, and establish how we measure the impact, reliability, and safety of AI in production.
Take AI integrations to production responsibly: design evaluation, observability, and guardrail frameworks, and assess impact on software performance, seller productivity, and customer satisfaction using clear metrics.
Influence and communicate effectively with senior product and business leadership, translating technical strategy and trade-offs for non-technical audiences and shaping the roadmap.
Serve as a technical leader and force multiplier: coach and mentor Staff and senior engineers, grow the bench of AI-capable engineers, and lead through influence across the cross functional org.
Stay current with the rapidly evolving AI and data landscape, evaluate and introduce emerging technologies, and proactively identify high-leverage opportunities to apply AI across the platform.
12+ years of relevant experience building web, software, or data-intensive applications, with a track record of technical leadership at the Senior staff level or above.
Demonstrated experience architecting end-to-end ecosystems for analytical and customer-centric platforms at scale.
Expert-level proficiency in at least one object-oriented language (Java/J2EE or C#), and the judgment to make sound design decisions across large, distributed systems.
Proven ability to influence technical direction across teams and to communicate complex trade-offs to senior product and business leaders.
BS/MS in Computer Science or equivalent practical experience.
New York $220,500 - $298,000

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aijavareacttypescriptawskubernetesmlllm

Platform: career-feeds
Effort: medium