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Added 16 mins ago
Thanks for visiting our Job Board. Please review our open positions and apply to the positions that match your qualifications.
Evertz
Burlington, ON
Full-time
Evertz AV is looking for a Service Engineer to join our AV Service team with a specific focus on Control System customization and deployment with a specific focus on VUE, our…
Added 31 mins ago
Software Engineer, Full-Stack - Agents Cross-FA
Superhuman
Remote, Canada
$125,000 to $130,000 CAD / year
Full-time · Remote
We’re hiring early-career Software Engineers who want to learn fast, ship real product, and build AI-native software used by millions.
Added 31 mins ago
Senior Software Engineer, AI Enablement
Xero
Vancouver, BC
Full-time
You're curious about coding agents and AI-native tools, and you keep an eye on where AI engineering is heading
Added 31 mins ago
Staff Software Engineer, Data
Solink
Remote, Canada
$138,445 to $173,056 CAD / year
Full-time · Remote
We’re looking for a Staff Software Engineer (P4) to join our Data Infrastructure team. At this level, you’re trusted to set technical direction for infrastructure supporting 10M+ events per…
Added 2 hours ago
Cloud Analyst
Sun Life
Toronto, ON · Montreal, QC · Sun Life Montreal Metcalfe
Full-time
AWS/Azure/GCP or Linux Foundation Certification (e.g., Certified Solution Architect, Certified DevOps Engineer, Kubernetes and Cloud Native Associate etc.) are a plus
Added 2 hours ago
Senior Software Engineer (Sanctions Service & AI Inference)
Mastercard
Vancouver, BC
Full-time
Senior Software Engineer (Sanctions Service & AI Inference)Who is Mastercard?
Added 3 hours ago
Machine Learning Operations Engineer/Senior
Wawanesa Insurance
Toronto, ON · AB · Winnipeg, MB · Ottawa, ON · Kitchener, ON · Calgary, AB · Edmonton, AB (Hybrid), AB · North York - Toronto, ON (Hybr, ON
The Machine Learning Operations Engineer/Senior is responsible for the design, development, deployment, monitoring, and operationalization of machine learning and AI solutions. The engineer…
Added 3 hours ago
Senior Security Engineer - Cloud Security
PagerDuty
Toronto, ON
Full-time
Senior Security Engineer - Cloud Security (Platform Engineering, Kubernetes & Identity)
Added 3 hours ago
Technical Leader
Serv Recruitment
Waterloo, ON
Full-time
Use AI-native development tools and workflows to help a small team produce exceptional output.
Added 3 hours ago
Connected Vehicle Diagnostic Eng - AI/ML
KYYBA Inc
Ottawa, ON · Kanata, ON
Contract
…scale, consider joining our forward-thinking team. As a Systems Engineer ¿ End to End Software Diagnostics & Observability, you will work with a cross-functional team responsible for…
Added 3 hours ago
AV Service Engineer - Control Systems & Device Integration
Evertz
Burlington, ON
Full-time
Evertz AV is looking for a Service Engineer to join our AV Service team with a specific focus on Control System customization and deployment with a specific focus on VUE, our…
Added 3 hours ago
Senior Security Engineer - Cloud Security
PagerDuty
Toronto, ON
Senior Security Engineer - Cloud Security (Platform Engineering, Kubernetes & Identity)
Added 4 hours ago
Staff Engineer, AI Security
EQ Bank | Canada's Challenger Bank
Toronto, ON
Full-time
Experience designing, implementing, and supporting security controls within cloud-native and enterprise technology environments.
Added 4 hours ago
Senior Front End Engineer
Mejuri
Toronto, ON
React Native or mobile experience. This role sits on web, but engineers who can move across both are a real advantage to us.
Added 5 hours ago
Technical Leader
Martell Ventures
Waterloo, ON
Use AI-native development tools and workflows to help a small team produce exceptional output.
Added 5 hours ago
Principal Software Engineer- React Native
AI Interviews
Toronto, ON · Greater Toronto Area, Canada
Full-time
We are seeking a Senior/Lead React Native Engineer with 8+ years of mobile engineering and 5+ years of production React Native experience.Strong expertise in React Native 0.76+, New…
Added 5 hours ago
Agent & DevOps Platform Engineer
Zodiac Solutions, Inc
Toronto, ON
Full-time
Hands-on experience with Infrastructure as Code, configuration management, and cloud-native deployments
Added 5 hours ago
Staff Backend Engineer - Digital Credentials
Okta
Toronto, ON
$160,000 to $220,000 CAD / year
Full-time
As a Staff Backend Engineer on the Okta Digital Credentials (ODC) team, you will define the technical direction of a new VDC identity ecosystem and set the standard for how we build it.
Added 6 hours ago
Full-Stack Software Engineer
Burq, Inc.
Remote, Canada
Full-time · Remote
We're looking for a Full-stack Engineer who takes ownership of problems end to end and raises the bar for the team around them. You'll build the APIs, integrations, and product surfaces…
Added 6 hours ago
Senior Data Engineer
Royal Bank of Canada
Vancouver, BC
Full-time
…digital transformation strategy. We're seeking a Senior Data Engineer to architect and build scalable, cloud-native ETL/ELT pipelines that power our enterprise data ecosystem. In this…
Added 7 hours ago
Senior Data Engineer
RBC
Vancouver, BC
Full-time
…digital transformation strategy. We're seeking a Senior Data Engineer to architect and build scalable, cloud-native ETL/ELT pipelines that power our enterprise data ecosystem. In this…
Added 7 hours ago
Systems Engineer – End-to-End Software Diagnostics & Observability
Vertage
Ottawa, ON · Kanata, ON
Contract
Job title: Systems Engineer – End-to-End Software Diagnostics & Observability
Added 7 hours ago
Platform Engineer
Tekshapers
Toronto, ON
Full-time
Hands-on experience with Infrastructure as Code, configuration management, and cloud-native deployments
Added 7 hours ago
Senior Software Developer (Pre-ID Relo)
Intuit
Toronto, ON
Full-time
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…
Added 7 hours ago
Senior Platform Engineer (SRE), AI Solutions
System Soft Technologies
Quebec, QC
Contract
…our developers, you're all-in on AI - you believe a platform engineer gets production-quality IaC from agentic tools, and you want to lead the agentic deploy and operate stages of the…

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

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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 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

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More about this job

Responsibilities

Design, build, test, and operate full-stack HCM features across React front ends and cloud-native backend services, owning delivery from technical design through launch and ongoing improvement. Develop AI-powered product capabilities, guide engineering quality and architecture, mentor teammates, and partner with product and platform teams to solve customer problems.

Requirements

Requires a bachelor's degree in a relevant technical field or equivalent practical experience, at least five years of professional software engineering experience, and production experience with a modern front-end framework and backend language. Candidates should have cloud and distributed-systems experience, practical experience building AI-enabled products, strong end-to-end ownership, and clear communication skills.

Skills

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

Benefits

Bonus
Equity Rewards
Benefits

Visa sponsorship

Not detected in the job text

Keywords

Human Capital Management
Payroll
Workforce Management
Full-Stack Development
React
JavaScript
TypeScript
Java
Kotlin
Go
Python
Node.js
Distributed Systems
API Design
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
PIPEDA

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