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Added 9 mins ago
Senior AML IT Developer
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Full-time
The Java Developer / Data Engineer will join the Compliance, Surveillance & Supervision Product Technology team, which delivers technology solutions supporting the Compliance, Surveillance,…
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Systems Designer - Ingénieur/développeur systèmes
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Staff Software Developer (Pre-ID Relo)
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Full-time
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Principal CRM Developer
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Staff Software Developer
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Toronto, ON
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Added 5 hours ago
Staff Software Engineer (Pre-ID Relo)
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Toronto, ON
Full-time
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Added 15 hours ago
Senior Human Factors Engineer
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Intuit

Staff Software Developer (Pre-ID Relo)

Toronto, ON, Canada

Job type: Full-time
Apply by: Nov 1, 2026
Posting language: English
Posted: Oct 2, 2026

Apply About employer

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Original job description

Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. Within Workforce Solutions, our Human Capital Management charter builds the products that help small and mid-market businesses hire, pay, and support their people. These are systems customers depend on to run payroll correctly, stay compliant across jurisdictions, and handle the daily work of managing a workforce without friction.

We are hiring a Staff Software Engineer to set technical direction across multiple engineering teams in the HCM charter. This is a charter-wide role. You will not be measured by the features you personally ship, but by the quality of the architecture, standards, and technical decisions that hold across teams, and by the leverage you create for the engineers around you. You will identify the highest-consequence technical problems in HCM, build alignment on how to solve them, and drive them to resolution across organizational boundaries.

The work is architecturally demanding. HCM spans a modern React front end and a large surface of cloud-native backend services, sitting on business logic that must be exactly right: calculation and eligibility rules, auditable compliance behavior across jurisdictions, and integration contracts with adjacent systems across the workforce stack. Much of it is mid-modernization. A significant part of this role is deciding what to rebuild, what to strangle, what to leave alone, and in what order, then making those calls stick.

This role carries explicit accountability for our AI engineering direction. On the product side, you will own the architecture for how HCM builds AI-powered and agentic experiences: the shared patterns, the evaluation infrastructure, the guardrails, and the judgment about where non-deterministic systems belong and where they emphatically do not. On the practice side, you are expected to materially raise how the entire charter engineers with AI, moving the org from individual experimentation to a coherent, high-quality, measurable way of working. We are looking for someone who is already operating at the frontier here and can bring an organization with them.

Staff engineers at Intuit lead without authority. You will influence roadmap, unblock teams, mentor senior engineers, and represent HCM technical strategy to senior engineering and product leadership.

Responsibilities

Technical strategy and architecture

Own architectural direction for a significant portion of the HCM charter, spanning multiple teams and services
Identify the technical problems that most constrain the charter's velocity, reliability, or customer experience, and drive them to resolution
Author and shepherd technical strategy documents and architecture decision records that teams actually build against
Define integration contracts and service boundaries across HCM and with adjacent Workforce Solutions platforms
Lead modernization and re-platforming strategy: sequencing, migration paths, and risk management, while keeping systems running
Make and defend consequential tradeoff decisions with incomplete information, and revisit them openly when the data changes

AI architecture and practice

Own the architecture for how HCM builds AI-powered and agentic product capabilities, including shared services, context and retrieval patterns, orchestration, and reuse across teams
Establish the evaluation and quality infrastructure for non-deterministic systems: offline and online evals, regression suites, guardrails, fallback behavior, cost and latency budgets, and observability
Set the boundary conditions for responsible AI use in compliance-sensitive paths, where a wrong answer has legal and financial consequences for a customer
Raise the charter's AI engineering practice measurably: establish patterns, build or select internal tooling, run the forums, and move engineers from ad hoc use to a consistent high-quality workflow
Stay ahead of a fast-moving capability landscape and translate genuinely useful advances into concrete architectural and workflow changes, while filtering out what is not yet real

Leverage and influence

Multiply the output of engineers across multiple teams through design review, technical mentorship, and unblocking hard problems
Mentor senior and staff-track engineers on technical judgment, scope, and influence
Raise the engineering bar across teams: design review quality, test strategy, CI/CD, operational readiness, and code health
Build alignment across engineering, product, and design leadership without relying on positional authority
Represent HCM technical direction in cross-org architecture reviews and to senior leadership
Contribute to hiring, leveling calibration, and technical assessment of senior and staff candidates

Operational and delivery accountability

Drive systemic improvement in reliability, latency, security posture, and operational toil across the charter, not just within one team
Serve as a senior technical escalation point for complex, customer-impacting or cross-team incidents, and drive real root cause resolution
Ensure systems meet Intuit standards for security, privacy, data governance, and multi-jurisdiction regulatory compliance
Remain hands-on where it creates the most leverage: prototypes, reference implementations, foundational components, and the hardest parts of critical paths

Qualifications

Minimum qualifications

Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
8 or more years of professional software engineering experience building and operating production systems at scale
Demonstrated experience operating at Staff level or equivalent: setting technical direction that spanned multiple teams and was adopted beyond your immediate scope
Deep expertise in distributed systems design, service architecture, API design, and data modeling across relational and non-relational stores
Strong full stack range: production depth in a modern backend language such as Java, Kotlin, Go, Python, Ruby or Node.js, with credible working knowledge of a modern front end framework, ideally React
Extensive experience with cloud infrastructure such as AWS or GCP, containerization, orchestration, and CI/CD at scale
Substantive production experience building AI systems, such as LLM-backed features, retrieval-augmented architectures, or agentic workflows, including responsibility for their quality, evaluation, and operational behavior
Demonstrated fluency working AI-first in your own engineering practice, with evidence of having shifted how a team or org works, not just yourself
Track record of leading large technical initiatives to completion through influence rather than authority
Excellent technical writing, with a portfolio of design documents or strategy documents that drove real organizational decisions
Proven ability to mentor and grow senior engineers

Preferred Qualifications

Domain experience in HR technology, payroll, workforce management, fintech, or another domain where correctness is auditable and financially material
Experience architecting rules engines, calculation or ledger-style systems, or complex configurable workflow platforms
Experience leading a significant modernization or re-platforming of a live, revenue-bearing legacy system
Experience building shared AI platform capabilities or evaluation infrastructure used by multiple product teams
Experience defining technical standards or governance adopted across an engineering organization
Experience with front end architecture at scale, including design systems, performance, and accessibility
Familiarity with data privacy, security, and employment compliance frameworks relevant to employee data, such as SOC 2, GDPR, PIPEDA, CCPA, and jurisdictional employment reporting requirements
Experience influencing across a large matrixed organization and multiple time zones
Prior experience in a Staff or Principal role at a mid-to-large-size technology company

What we look for

Leverage over output. You measure yourself by what the organization ships, not by what you ship
Judgment at consequence. You are trusted with the decisions that are expensive to reverse, and you know which ones those are
Influence without authority. You bring people to a decision through clarity and credibility rather than escalation
Frontier curiosity with engineering rigor. You adopt new capability early and still insist on evidence before it reaches customers
Clarity at scale. Your writing changes what an organization does

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

Toronto $164,500 - $222,500

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More about this job

Responsibilities

Set technical direction and architecture across multiple HCM teams, including service boundaries, modernization strategy, reliability, and compliance-sensitive systems. Lead the charter’s AI architecture and engineering practices, while mentoring engineers and influencing cross-functional and senior leadership decisions.

Requirements

Requires at least eight years of production software engineering experience, demonstrated Staff-level technical leadership across teams, and strong expertise in distributed systems, cloud infrastructure, and full-stack development. Candidates must also have production experience building and evaluating AI systems, a record of leading initiatives through influence, strong technical writing skills, and a bachelor’s degree or equivalent practical experience.

Skills

Technical Strategy
Software Architecture
Distributed Systems
Service Architecture
API Design
Data Modeling
Full-Stack Development
React
Cloud Infrastructure
AWS
GCP
CI/CD
AI Systems
Large Language Models
Retrieval-Augmented Generation
Technical Leadership

Benefits

Cash Bonus
Equity Rewards
Benefits

Visa sponsorship

Not detected in the job text

Keywords

Human Capital Management
Workforce Solutions
Payroll
React
Java
Kotlin
Go
Python
Ruby
Node.js
AWS
GCP
Distributed Systems
Microservices
API Design
Relational Databases
Non-Relational Databases
Containerization
Orchestration
CI/CD
Large Language Models
Retrieval-Augmented Generation
Agentic Workflows
AI Evaluation
AI Guardrails
Modernization
Re-Platforming
Data Governance
Regulatory Compliance
SOC 2

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