Jobs in Canada

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Added 1 month ago
WT
Senior Software Developer, ML Platform & Infrastructure
Wealthsimple Technologies
Toronto, ON
- $152,000 to $189,000 CAD / year
- Full-time
We are looking for an experienced MLOps or ML Platform Engineer who is excited to pivot their deep background in model orchestration, serving, and platform tooling toward solving the unique…
Added 1 month ago
T
Senior AML IT Developer
TD
Toronto, ON
- Full-time
The Java Developer / Data Engineer will join the Compliance, Surveillance & Supervision Product Technology team, which delivers technology solutions supporting the Compliance, Surveillance,…
Added 1 month ago
Senior Software Engineer
SALT XC
Toronto, ON
Join us as a Senior Software Engineer building the next generation of AI products. This is a hands-on senior software development role: you'll spend roughly 80% of your time designing,…
Added 1 month ago
KR
Python Developer
KTek Resourcing
Montreal, QC
- $60 to $65 CAD / hour
- Contract
We are seeking an experienced Senior Automation Engineer with strong expertise in Python programming, UNIX/Linux shell scripting, software deployment automation, patch management, and Linux…
Added 1 month ago
C
Lead Threat Intelligence Engineer
Clio
Calgary, AB · Vancouver, BC · Toronto, ON
- Full-time
This is a senior individual-contributor role, where you'll be expected to establish and formalize how Clio tracks adversaries. This is the first hire in a function Clio intends to grow -…
Added 1 month ago
E
Senior Cloud Platform Engineer (AWS), AI Infrastructure - Evinova
Evinova
Mississauga, ON
- Full-time
Candidates must reside within commuting distance of the GTA or be willing to relocate for this opportunity
Added 1 month ago
Senior Agentic AI Engineer- Physical AI hub, Kitchener
Siemens
Kitchener, ON
We are seeking a Senior Agentic AI Engineer to build the harness reasoning, monitoring, recovery, and completion-gating capabilities for the Physical AI Runtime. This engineer will design…
Added 1 month ago
Machine Learning Systems and Infrastructure Developer
Siemens
Kitchener, ON
Partner with the Senior AI/ML and Robotics Platform Engineer on dataset readiness, evaluation semantics, and model-quality criteria.
Added 1 month ago
T
Senior Data Engineer
TriMech
Oakville, ON
- Full-time
As Senior Data Engineer / Data Scientist, you will design, build, and operate the group's data ecosystem: integrating data from our core business systems, developing robust pipelines,…
Added 1 month ago
EA
Full Stack Software Developer
Engineered Arts
Montreal, QC
- Full-time
…welcome, supported, and empowered to contribute. Whether you’re an engineer, developer, or creative thinker, we value what makes you…
Added 1 month ago
B
Intern, Developer (Winter 2027)
Bombardier
Mississauga, ON
- $17.95 to $31 CAD / hour
- Volunteer
Engineer backend automation scripts and data integration pipelines with Python and SQL, leveraging operational data to drive real-time insights and transformation on the shop floor.
Added 1 month ago
Senior Data Engineer
Quandri
Vancouver, BC
Experience in communicating with senior leadership to collect requirements, describe software product features, technical designs, and product strategy
Added 1 month ago
Q
Senior Data Engineer
Quandri
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
Experience in communicating with senior leadership to collect requirements, describe software product features, technical designs, and product strategy
Added 1 month ago
M
Online Calibration & SLAM Engineer
Mecka
Richmond Hill, ON
- $200,000 to $230,000 CAD / year
- Full-time
Cross-border collaboration: You can specify calibration requirements clearly to a hardware team across time zones
Added 1 month ago
Data Analyst, Principal
Dayforce
Canada
This is a hands-on technical role with significant visibility across the organization. You will work directly with senior leaders and cross-functional stakeholders while personally…
Added 1 month ago
IE
Senior Designer, Optoelectronics
IMAX Enhanced | Streaming & Consumer Technology
Mississauga, ON
- Full-time
IMAX is seeking a Senior Optoelectronics Engineer to play a key role in the research, development, validation, and continuous improvement of next-generation entertainment technologies. This…
Added 1 month ago
C
Senior Network Operations Engineer
Cognizant
Vancouver, BC
- Full-time
Job Title: Senior Network Operations Engineer
Added 1 month ago
AI
AI Developer – AI/ML, Python, LangChain, RAG, NLP LLM
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
What is the opportunity? The Senior AI Engineer will work on the development and deployment of cutting-edge machine learning models, drive innovation, and collaborate with cross-functional…
Added 1 month ago
EH
Customer Experience Engineer
Elation Health
Canada
- Full-time
…resolves the customer's problem immediately, and partner with senior engineers on the cases complex enough to need…
Added 1 month ago
A
Senior Cloud Platform Engineer (AWS), AI Infrastructure - Evinova
AstraZeneca
Mississauga, ON · Canada - Mississauga
- Full-time
Candidates must reside within commuting distance of the GTA or be willing to relocate for this opportunity
Added 1 month ago
EP
Project Estimation Manager [Hybrid or Remote] - Gestionnaire Estimation des Projets [Hybride ou Télétravail] | - FR
EDF power solutions North America
Montreal, QC
- Full-time
…provide functional coverage and technical continuity for the Senior Data Solutions Engineer during periods of absence or elevated workload demand. As such, the ideal candidate will bring a…
Added 1 month ago
S
Sr Full Stack AI Engineer - Calgary ,Canada (Hybrid)
Straive
Calgary, AB
- Full-time
Title - Senior Full Stack AI Engineer / Technical Engagement Manager
Added 1 month ago
K
Senior Network Engineer
Kyndryl
Toronto, ON
- Contract
Provide senior-level troubleshooting, performance optimization, root cause analysis, technical documentation, and operational handover.
Added 1 month ago
S
Senior Analytics Engineer – Data Modeling
SPECTRAFORCE
Toronto, ON · Greater Toronto Area, Canada
- Contract
Senior Analytics Engineer – Data Modeling (Databricks), Capital Markets
Added 1 month ago
RB
Senior Software Developer in Test (Development Focused)
Royal Bank of Canada
Montreal, QC
- Full-time
We are seeking a top-notch, hands on Senior Software Developer who is a passionate, driven team player committed to code quality and testing excellence. The ideal candidate will play a…

Closed listing

Intuit

Staff Software Developer (Pre-ID Relo)

Toronto, ON, Canada

Full-time

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

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

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Added 10 hours ago
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Added 10 hours ago
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Original job description

Archived listing. The details below describe a past opening.

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

About employer

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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Work requirements

Jobs in Canada