Full-time jobs in Canada (398,405 jobs)

Explore full-time jobs across Canada. Choose a location and read the full job details.

398,405 listings · 48,106 employers Counted Nov 13, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (9,529 listings), Health Match BC (4,422 listings), Walmart (3,052 listings).

Common roles: Project manager, Sales representative, Store manager.

68,811 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	24.00	39,710
CAD / year	80,000.00	26,702
CAD / month	5,347.31	734
USD / year	125,000.00	231
CAD / week	1,635.30	87
CAD / day	360.00	44
USD / hour	22.00	29
GBP / year	40,000.00	13
EUR / year	68,000.00	11
USD / month	4,000.00	11

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 1% remote, 16% hybrid, 82% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Full-time jobs in Canada

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Added 11 hours ago
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RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
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- $86,000 to $240,000 USD / year
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Jobgether
Canada
- Full-time
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Jobgether
Canada
- $130,000 to $150,000 CAD / year
- Full-time
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Canada
- Full-time
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Saint-Félicien, QC · St-Félicien, QC
- Full-time
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Transformation Delivery Lead
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Canada
- Full-time
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Calgary, AB
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Jobgether
Canada
- Full-time
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Jobgether
Canada
- Full-time
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Calgary, AB
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Montreal, QC · Saint-Laurent, QC
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assistant manager, restaurant
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Victoria, BC
- Full-time
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Prince George, BC
- Full-time
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Montreal, QC · Saint-Laurent, QC
- Full-time
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Vaughan, ON
- $110,000 to $123,000 CAD / year
- Full-time
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Technical Product Manager (TPM), Delivery Ops
Mecka
Richmond Hill, ON
- $150,000 to $200,000 CAD / year
- Full-time
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Montreal, QC · Saint-Laurent, QC
- Full-time
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Vancouver, BC
- $55,000 to $80,000 CAD / year
- Full-time
Must have a proactive approach, be innovative, and strive for continuous process improvement
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Floral Manager - Full Time
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Toronto, ON
- Full-time
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- Full-time
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Facility Solutions Manager, full time
City Wide Facility Solutions
Burnaby, BC
- $55,000 to $80,000 CAD / year
- Full-time
Must have a proactive approach, be innovative, and strive for continuous process improvement
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Photographe (Sur appel) // Photographer (On-call)
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Montreal, QC
- Full-time
Added 11 hours ago
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Software Engineer (SWE), Delivery Ops
Mecka
Richmond Hill, ON
- $150,000 to $200,000 CAD / year
- Full-time
Added 11 hours ago
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HSE Specialist
ABB
Oakville, ON
- Full-time

Mecka

Software Engineer (SWE), Delivery Ops

Richmond Hill, ON, Canada

$150,000 to $200,000 CAD / year · Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Pay: $150,000 to $200,000 CAD / year
Job type: Full-time
Apply by: Nov 24, 2026
Posting language: English
Posted: Nov 12, 2026

Original job description

About Mecka AI

Mecka AI is building the data infrastructure layer for robotics and embodied AI.

We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.

We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.

About Delivery Ops

Delivery Ops turns raw captures into datasets customers can train on. We pull and filter episodes against each customer's spec, run every ship gate (quality, privacy, exclusivity, labels), package and ship the data, and report on what was delivered. As volumes grow into hundreds of thousands of hours per program, the team also owns showing the field what this data looks like and why it matters.

About The Role

Every delivery is a pipeline problem: millions of episodes, terabytes of video, and a customer spec that changes per program. You will build the systems that let a small team ship at that scale, so a delivery that takes a week today takes an afternoon.

What you'll do

Pool pulls

Build pipelines that turn a customer spec (hours, diversity mix, formats, label levels) into a filtered, reproducible episode list.

Ship gates

Automate the checks every episode must pass before shipping (quality, privacy blur, bans, exclusivity, label integrity) and make failures easy to trace.

Packaging and transfer

Own export to customer formats and storage, with manifests, checksums, and re-delivery support.

Delivery ledger

Maintain the source of truth for what shipped to whom, and the dashboards and reports built on it.

Internal tools

Ship lightweight web tools (sample viewers, review pages, report generators) that the delivery team uses daily.

What you bring

3 to 6+ years building production data pipelines or backend systems.
Strong Python and SQL; comfortable with document stores and analytical databases at the scale of millions of rows.
Experience moving large media files through cloud object storage reliably.
Enough frontend skill to ship a usable internal tool without a designer.

Even better if you have

Video processing experience (FFmpeg, frame extraction, codecs).
Experience with robotics, computer vision, or ML training datasets.

If you don't check every box above but believe you can do the job, we encourage you to apply - we're looking for capability and trajectory, not a perfect checklist match.

We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, we will partner with you to meet your needs.

We may use AI-assisted tools to help evaluate applications against the requirements of this role. These tools support our recruiting team in identifying qualified candidates but do not replace human judgment or limit which applications may be reviewed or considered.

Compensation Range: $150K - $200K

Apply on LinkedIn About employer

More about this job

Responsibilities

Build reproducible pipelines that filter episodes to customer specifications, automate quality and privacy checks, and package and transfer datasets with manifests and checksums. Maintain delivery records, dashboards, and reports, and create internal tools that help the team review and deliver large volumes of data.

Requirements

Candidates should have 3 to 6+ years of experience building production data pipelines or backend systems, strong Python and SQL skills, and experience with databases and reliable transfer of large media files through cloud object storage. Frontend skills for internal tools are expected; video processing and experience with robotics, computer vision, or machine-learning datasets are advantageous.

Skills

Python
SQL
Data Pipelines
Backend Systems
Document Stores
Analytical Databases
Cloud Object Storage
Frontend Development
Video Processing
FFmpeg
Frame Extraction
Codecs
Robotics
Computer Vision
Machine Learning Datasets
Data Quality

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
Production Data Pipelines
Backend Systems
Document Stores
Analytical Databases
Cloud Object Storage
Large Media Files
Frontend Development
FFmpeg
Video Processing
Frame Extraction
Codecs
Robotics
Computer Vision
Machine Learning
Training Datasets
Data Capture
Data Labeling
Episode Filtering
Data Quality
Privacy Blurring
Exclusivity Checks
Label Integrity
Data Packaging
Checksums
Delivery Manifests
Data Dashboards
Internal Tools
Embodied AI

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Work requirements

Full-time jobs in Canada