Staff Software Developer
Role Overview
A Staff Software Engineer role setting technical direction across multiple engineering teams in the HCM charter.
Success is measured by architecture, standards, technical decisions, and leverage across teams, rather than by features personally shipped.
The work spans a React front end, cloud-native backend services, complex business rules, compliance behavior, and integrations across the workforce stack.
Key Skills for This Role
Full Job Posting
Company and product context
Intuit describes itself as a financial technology platform. Its Workforce Solutions HCM charter builds products that help small and mid-market businesses hire, pay, and support employees.
HCM systems support payroll accuracy, compliance across jurisdictions, and workforce management.
Role overview
A Staff Software Engineer role setting technical direction across multiple engineering teams in the HCM charter.
Success is measured by architecture, standards, technical decisions, and leverage across teams, rather than by features personally shipped.
The work spans a React front end, cloud-native backend services, complex business rules, compliance behavior, and integrations across the workforce stack.
Technical strategy and architecture
- Own architecture for a significant part of the HCM charter across teams and services; identify constraints on velocity, reliability, or customer experience and drive their resolution.
- Author and shepherd technical strategy documents and architecture decision records that teams build against.
- Define integration contracts and service boundaries across HCM and adjacent Workforce Solutions platforms.
- Lead modernization and re-platforming strategy, including sequencing, migration paths, and risk management while keeping systems running.
- Make consequential tradeoff decisions with incomplete information and revisit them when evidence changes.
AI architecture and practice
- Own architecture for AI-powered and agentic HCM capabilities, including shared services, context and retrieval patterns, orchestration, and reuse.
- Establish evaluation and quality infrastructure for non-deterministic systems, including evaluations, regression suites, guardrails, fallback behavior, cost and latency budgets, and observability.
- Set boundaries for responsible AI in compliance-sensitive paths where errors may have legal and financial consequences for customers.
- Improve charter-wide AI engineering practices through patterns, tooling, forums, and consistent high-quality workflows.
- Track emerging capabilities and translate useful advances into architectural and workflow changes.
Leverage and influence
- Multiply engineering output across teams through design review, mentorship, and unblocking difficult problems.
- Mentor senior and staff-track engineers on technical judgment, scope, and influence.
- Raise standards for design reviews, test strategy, CI/CD, operational readiness, and code health.
- Build alignment across engineering, product, and design leadership without positional authority.
- Represent HCM technical direction in cross-organizational architecture reviews and to senior leaders.
- Contribute to hiring, leveling calibration, and technical assessment of senior and staff candidates.
Operational accountability
- Drive systemic improvements in reliability, latency, and security.
Requirements
- Ability to set technical direction across multiple engineering teams in the HCM charter.
- Experience making architectural decisions across React front ends and cloud-native backend services.
- Ability to reason about business logic, including calculation and eligibility rules, auditable compliance behavior, and integration contracts.
- Experience leading modernization decisions, including what to rebuild, replace incrementally, or leave in place, and sequencing the work while maintaining operations.
- Ability to define architecture for AI-powered and agentic product experiences, including shared patterns, evaluation infrastructure, guardrails, and appropriate system boundaries.
- Ability to improve AI engineering practice across an organization with coherent, high-quality, measurable ways of working.
- Ability to influence without positional authority, mentor senior engineers, and represent technical strategy to senior engineering and product leadership.
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