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Added 46 mins ago
Kubernetes Reliability Engineer
Roche
Mississauga, ON
Full-time
The CaaS IT Infrastructure Engineer is a highly skilled expert responsible for solving complex business problems using advanced cloud native technologies. The engineer will build and…
Added 48 mins ago
Senior Data Integration Engineer
Connor, Clark & Lunn Financial Group Ltd.
Vancouver, BC
Interested in joining one of Canada's top performing asset managers? We are looking for a Senior Data Integration Engineer for an existing vacancy in our IT department, Connor, Clark & Lunn…
Added 48 mins ago
Senior Data Integration Engineer
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Toronto, ON
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Added 1 hour ago
Senior Salesforce Engineer
Canadian Cancer Society
Toronto, ON · Ottawa, ON · Montreal, QC · Quebec, QC · Prince George, BC · Vancouver, BC · Kelowna, BC · Halifax, NS · Calgary, AB
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We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 1 hour ago
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Senior Software Engineer (Sanctions Service & AI Inference)Who is Mastercard?
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Added 2 hours ago
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Quebec, QC · Gatineau, QC · ON
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As the Senior Infrastructure Engineer joining this team, you will focus on:

Intuit

Senior Software Developer (Pre-ID Relo)

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 29, 2026
Posting language: English
Posted: Sep 29, 2026

Apply About employer

Applications open in a new tab.

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 the systems customers depend on to run payroll correctly, keep their teams compliant, and handle the everyday work of managing a workforce without friction.

We are hiring a Senior Software Engineer to join our HCM engineering team in Toronto. You will own the design and delivery of full stack features across our HCM surfaces, working from customer problem through architecture, implementation, launch, and long-term operation. The work spans a modern React front end and cloud-native backend services, and it sits on top of business logic that has to be exactly right: calculation and eligibility rules, multi-jurisdiction compliance requirements, and integrations across the workforce stack.

This role is explicitly AI-first, in two directions. You will build AI-powered and agentic capabilities into the product, applying LLMs, retrieval, and automation to remove manual work from experiences that are still slow and form-heavy today. You will also work AI-first in how you build: using AI tooling throughout your own development loop for scaffolding, refactoring, test generation, code review, debugging, and documentation, and helping the team raise its collective bar on what good AI-assisted engineering looks like. We are not looking for someone who has read about this. We are looking for someone who already works this way and can pull others along.

As a senior engineer you are expected to operate with a high degree of autonomy. You will take ambiguous problems, decompose them, drive alignment on an approach, and deliver without needing the plan handed to you. You will also be a force multiplier: mentoring engineers, setting standards through your own code and reviews, and improving how the team works.

Responsibilities

Build and deliver

Design, build, test, and operate full stack features end to end, spanning React front end and cloud-native backend services
Own delivery of significant pieces of the roadmap with limited direction, from technical design through production launch and iteration
Write clean, well-tested, maintainable code and hold that standard in the code you review
Break large, ambiguous problems into sequenced, shippable increments and communicate progress and risk clearly
Take features all the way through: instrumentation, monitoring, rollout, experimentation, and follow-through on what the data shows

AI-first engineering

Build AI-powered and agentic product capabilities, including LLM-backed workflows, retrieval, structured extraction, and automation of tasks that are manual today
Establish sound patterns for working with non-deterministic systems: prompt and context design, evaluation and regression testing, guardrails, fallback behavior, cost and latency management, and observability
Use AI tooling fluently across your own development workflow and raise the team's practice through concrete examples, shared patterns, and internal tooling
Apply sound judgment about where AI genuinely improves an experience versus where deterministic logic is the right answer, particularly in compliance-sensitive paths
Uphold Intuit standards for responsible AI, data privacy, and appropriate handling of sensitive employee and business data

Technical leadership and influence

Contribute to architectural direction for your area and drive technical decisions to closure with clear reasoning and documented tradeoffs
Raise engineering quality across the team through design review, code review, test automation, and CI/CD improvements
Mentor engineers on the team, including onboarding, pairing, and growing their technical judgment
Identify and drive down technical debt, reliability risk, and operational toil rather than routing them elsewhere
Participate in on-call for services you own and improve system health based on what you learn there

Partnership

Partner directly with Product Management, Design, Data, and QA to shape scope and turn customer problems into technical plans
Work with adjacent HCM and platform teams on clean integration contracts and shared services
Collaborate effectively across time zones with engineers and partners in other Intuit sites
Stay connected to real customer usage and real customer pain, and let it inform what you build and what you push back on

Qualifications

Minimum qualifications

Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
5 or more years of professional software engineering experience building and operating production software
Strong full stack capability: production experience with a modern JavaScript or TypeScript front end framework, ideally React, plus a modern backend language such as Java, Kotlin, Go, Python, or Node.js
Solid grounding in distributed systems, API design, relational and non-relational data modeling, and service-oriented architecture
Hands-on experience with cloud infrastructure such as AWS or GCP, containerization, and CI/CD pipelines
Demonstrated practical experience building with AI, such as LLM-backed features, retrieval-augmented systems, agentic workflows, or ML-driven product capabilities, with real production or near-production results
Fluent use of AI development tooling in your daily engineering workflow, with specific examples of how it changed your output
Track record of owning features end to end with minimal direction and shipping them to real customers
Strong written and verbal communication, including the ability to write a clear technical design and explain tradeoffs to non-engineers
Experience working in an Agile environment with a bias toward iterative delivery

Preferred Qualifications

Experience in HR technology, payroll, workforce management, fintech, or another domain where correctness is auditable and financially material
Experience designing evaluation harnesses, regression suites, or offline and online quality measurement for AI features
Experience building rules engines, calculation or ledger-style systems, or complex configurable workflow engines
Experience integrating third-party partner APIs or building extensible integration platforms
Experience with front end performance, accessibility, and design system contribution at scale
Experience mentoring engineers or acting as a technical lead on a project team
Familiarity with data privacy and security frameworks relevant to employee data, such as SOC 2, GDPR, PIPEDA, and CCPA
Experience modernizing or re-platforming a legacy system while keeping it running

What we look for

Ownership. You treat the problem as yours through to the outcome, not just to the merge
Judgment. You choose the simplest approach that actually solves the problem, and you can say why
Curiosity with rigor. You move fast on new tooling and new AI capability, and you still verify before you trust it
Craft. You care about the quality of what you leave behind for the next engineer
Clarity. You write and speak precisely, and you make complexity easier for the people around you

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 $132,000 - $178,500

Apply About employer

More about this job

Responsibilities

Design, build, test, and operate end-to-end HCM features across React front ends and cloud-native backend services, including AI-powered workflows and automation. Lead technical decisions, mentor engineers, improve reliability and engineering practices, and partner with product and platform teams to deliver customer-focused solutions.

Requirements

Requires a bachelor's degree in a relevant technical field or equivalent experience, at least five years of professional software engineering experience, and production experience with modern front-end and backend technologies, cloud infrastructure, and CI/CD. Candidates should have practical experience building AI-enabled capabilities, owning features through launch, and communicating technical designs and tradeoffs; HR, payroll, fintech, and AI evaluation experience are preferred.

Skills

Full-Stack Software Development
React
JavaScript
TypeScript
Backend Development
Distributed Systems
API Design
Data Modeling
Cloud Infrastructure
AWS
GCP
CI/CD
Large Language Models
Retrieval-Augmented Generation
Agentic Workflows
Technical Leadership

Benefits

Bonus
Equity Rewards
Benefits

Visa sponsorship

Not detected in the job text

Keywords

Human Capital Management
Payroll
React
JavaScript
TypeScript
Java
Kotlin
Go
Python
Node.js
Distributed Systems
API Design
Relational Databases
Non-Relational Databases
Service-Oriented Architecture
AWS
GCP
Containerization
CI/CD
Large Language Models
Retrieval-Augmented Generation
Agentic Workflows
Prompt Design
AI Evaluation
Responsible AI
Data Privacy
Agile
On-Call Operations
SOC 2
GDPR

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