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Added 10 mins ago
QA Automation Engineer - MTL/TOR
isgSearch
Toronto, ON · Greater Toronto Area, Canada
Full-time
Our client is looking for an experienced QA Automation Engineer to support the continued development and enhancement of business-critical technology applications.
Added 10 mins ago
Lead Azure(Terraform)- Cloud Platform Engineer
TECONICA SOFTWARES
Toronto, ON
Contract
We are seeking a highly hands-on Azure Platform Engineer with strong experience designing, implementing, and supporting enterprise-scale Microsoft Azure cloud platforms.
Added 26 mins ago
Staff Data Scientist, Applied ML
Jobber
Remote, Canada
Full-time · Remote
…representation learning, transformer architectures, and ranking, and engineer them to serve reliably in real time and at scale inside Jobber's…
Added 26 mins 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 40 mins ago
Software Engineer – Messaging & Async Platform Infrastructure
Deel
Canada
Full-time
We are looking for a Software Engineer to join our Infrastructure – Messaging & Async Platform team, focused on building and scaling our messaging and asynchronous communication platform.
Added 55 mins 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 55 mins ago
Associate Director - Lead Application Support Specialist, GED Support
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Toronto, ON
Full-time
As a Application Support Engineer for our Quantitative Investment Services, you'll take ownership of the reliability and performance of mission-critical trading platforms. This is more than…
Added 55 mins ago
Senior Manager, Data Product Manager
Scotiabank
Toronto, ON
…products published on Harbour, the bank's Azure Databricks data platform, following the Harbour target architecture and its producer/consumer model ("engineer once, consume many"). This…
Added 1 hour ago
Systems Engineer – End-to-End Software Diagnostics & Observability
Vertage
Ottawa, ON · Kanata, ON
Contract
We are seeking a Systems Engineer – End-to-End Software Diagnostics & Observability to support the development of intelligent diagnostic workflows that integrate embedded vehicle systems,…
Added 1 hour ago
Platform Engineer
Tekshapers
Toronto, ON
Full-time
3–5+ years of hands-on CI/CD, cloud, and platform engineering experience in enterprise environments
Added 1 hour ago
Technical Delivery Manager
Jolera
Toronto, ON
$100,000 to $130,000 CAD / year
Full-time
…management, robust data backup and recovery solutions, seamless cloud and on-premise migrations, enterprise-grade security services, and round-the-clock, 24/7/365 quad-lingual end user…
Added 1 hour ago
Senior IAM Engineer
Collabera
Toronto, ON
$90 to $95 CAD / hour
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The ideal candidate is a senior IAMC/authentication engineer with strong hands-on expertise in RSA Authentication Manager and RSA Cloud Authentication Service, combined with a solid…
Added 1 hour ago
Cloud Vulnerability Remediation Engineer
Insight Global
Toronto, ON
$60 to $82 CAD / hour
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We're looking for an engineer to join the smart infrastructure and cloud team at a leading bank. This role will be a minimum of 6 months and have the opportunity to extend long-term. There…
Added 1 hour ago
Calypso QA Automation Engineer
Synechron
Mississauga, ON
$100,000 to $120,000 CAD / year
Full-time
We are seeking a Calypso QA Automation Engineer to design, develop, and execute automated and manual testing solutions for the Calypso capital-markets platform. The role will focus on…
Added 1 hour 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 1 hour ago
Senior Platform Engineer (SRE), AI Solutions
System Soft Technologies
Quebec, QC
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…paths. Like 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…
Added 1 hour ago
AWS DevOps and AI/LLM Engineer
BULL-IT SOLUTIONS LTD
Toronto, ON
Full-time
3–5+ years of hands-on CI/CD, cloud, and platform engineering experience in enterprise environments
Added 1 hour 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 1 hour ago
Lead Software Engineer
TechDoQuest
Toronto, ON
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…our Oracle Financial Services Analytical Applications (OFSAA) platform. In this role, you will design and oversee robust, scalable technical solutions across our integrated finance…
Added 1 hour ago
Senior Developer Engineer/Leader
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…regulatory obligations with precision, efficiency, and security. The platform serves as a centralized engine for data capture, validation, transformation, and reporting, integrating…
Added 1 hour ago
Senior Software Engineer - Platforms & Infrastructure
Tubi - Canada
Toronto, ON
As a Senior Software Engineer on the Infrastructure team, you will design, build, and operate the core platforms that all Tubi services run on: compute, networking, traffic, deployments,…
Added 1 hour ago
Software Engineer III (Full Stack/API Integration)
TD
Toronto, ON
Full-time
The Enterprise Data Management Office (EDMO) is seeking a highly motivated Software Engineer III to design, develop, deploy, and support secure enterprise integration capabilities for the…
Added 1 hour ago
Software Engineer II (SDET)
TD
Toronto, ON
Full-time
Added 2 hours ago
Security Engineer
Signal 1
Toronto, ON
Full-time
Signal 1 helps health systems accelerate AI adoption with a category defining technology platform. Signal 1’s first product, the AI Management System (AIMS), gives health system leaders…
Added 2 hours ago
Agent & DevOps Platform Engineer
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Toronto, ON
Full-time
3–5+ years of hands-on CI/CD, cloud, and platform engineering experience in enterprise environments

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

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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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