Find work in Canada.

322,129 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 13 mins ago
Senior Data Engineer, Analytics
CMLS Financial
Vancouver, BC
$90,000 to $110,000 CAD / year
You'll own the Commercial Analytics data platform in Microsoft Fabric - how data is ingested, modeled, secured and served across our Power BI reports, client extracts and internal tools.…
Added 13 mins ago
Senior Data Engineer, Analytics
Nesto Group(e)
Vancouver, BC
$90,000 to $110,000 CAD / year
You'll own the Commercial Analytics data platform in Microsoft Fabric - how data is ingested, modeled, secured and served across our Power BI reports, client extracts and internal tools.…
Added 28 mins ago
AI Engineer - Halifax
Inadev
Halifax, NS
Contract
Builds and maintains the AI-DLC platform for the client - knowledge graph pipelines, CALM-based architecture modeling, AI agent integration, and security/process automation.
Added 28 mins ago
AI Engineer -Toronto
Inadev
Toronto, ON
Contract
Builds and maintains the AI-DLC platform for the client - knowledge graph pipelines, CALM-based architecture modeling, AI agent integration, and security/process automation.
Added 29 mins ago
MAPLE Junior Project Engineer
National Research Council Canada
Ottawa, ON
We are looking for a Junior Project Engineer to join the Aerospace Research Centre and support the development, modification, integration, certification, and operation of the NRC’s MAPLE -…
Added 29 mins ago
Senior Platform Engineer
Manulife
Toronto, ON · Waterloo, ON
Full-time
As a Senior Platform Engineer, you will build and operate the shared platform that application teams use to deploy and run services on Azure Kubernetes Service. You will work with…
Added 29 mins ago
Technical Analyst, Global Supplier Quality
Celestica International LP
Newmarket, ON
The Supplier Quality Engineer (SQE) is responsible for ensuring that suppliers of electronic components, PCB assemblies, mechanical parts, and outsourced manufacturing meet the stringent…
Added 43 mins ago
Senior Cloud Infrastructure Engineer
Mecka
Remote, Canada
$165,000 to $200,000 CAD / year
Full-time · Remote
…builds and runs. We're hiring a Senior Cloud Infrastructure Engineer to help design, scale, and harden Mecka's AWS environment, with a focus on the networking and storage behind global data…
Added 58 mins ago
Senior Azure Databricks Consultant
BURGEON IT SERVICES
Burnaby, BC
Contract
We’re seeking an intermediate-level Azure Databricks Engineer to build and optimize scalable data pipelines, manage Delta Lake-based data products, and support analytics/ML workloads.…
Added 58 mins ago
Technical Project Manager
LER TechForce
Ottawa, ON · Kanata, ON
Full-time
…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 58 mins ago
Process Engineer
Richardson Wealth Ltd
Toronto, ON
The Process Engineer is responsible for driving the enhancement of business processes at Richardson Wealth to increase efficiency, productivity, quality, and the overall advisor and client…
Added 1 hour ago
MLOps Developer
TEEMA
Toronto, ON
Full-time
5+ years experience as an DevOps/Infrastructure Engineer in a cloud development environment
Added 1 hour ago
DevOps Automation Engineer (OpenShift / .NET / CI/CD)
Ateko, backed by Bell Canada
Mississauga, ON
Contract
We are seeking an experienced DevOps Automation Engineer to join a high-performing Agile Scrum team responsible for supporting a large portfolio of enterprise applications. The team is…
Added 1 hour ago
Senior Business Systems Analyst (BSA) – Infrastructure & Developer Platform
Flow Global Technology
Vancouver, BC
Contract
8+ years as a Business Systems Analyst, Technical Analyst, Platform Product Owner, or similar role, including at least 3 years supporting infrastructure, cloud, or DevOps teams.
Added 1 hour ago
Senior Platform Engineer – RPA & Automation : Toronto, ON : Hybrid : Full time
AceStack
Toronto, ON
Full-time
Role: Senior Platform Engineer – RPA & Automation
Added 7 hours ago
Station Design Coordinator
SYSTRA Canada
Montreal, QC
Full-time
Professional Engineer (P.Eng.) or Registered Architect, or eligibility for registration in Canada.
Added 8 hours ago
Senior Embedded Software Designer
Kepler Communications Inc.
Toronto, ON
Full-time
We're on the hunt for a top-tier Embedded Software Engineer. Your focus will be on software development and maintenance required for both space and ground-based assets for a growing fleet…
Added 9 hours ago
Station Design Coordinator
SYSTRA
Montreal, QC
Full-time
Professional Engineer (P.Eng.) or Registered Architect, or eligibility for registration in Canada.
Added 9 hours ago
Lead React Native Engineer
AI Interviews
Toronto, ON · Greater Toronto and Hamilton Area, ON
Full-time
Role summary.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…
Added 10 hours ago
QA Engineer
MatchBox Consulting Group
Burnaby, BC
Contract
MatchBox Consulting Group is currently seeking a QA Engineer for a 12 month contract role with a client of ours located in Burnaby.
Added 10 hours ago
Lead Full Stack Engineer (.Net, Vue/React) - Fully Remote
CoverGo
Remote, Canada
Full-time · Remote
As the Lead Full Stack Engineer, you will take on a pivotal role in guiding the design, implementation, and maintenance of our innovative SaaS platform. You will provide technical direction…
Added 11 hours ago
Mobile App Engineer - React Native, Full Stack & AI
KoraHome.ai
Toronto, ON · Greater Toronto Area, Canada
Full-time
We are looking for a mobile engineer who can take ownership of our React Native app across iOS and Android.
Added 11 hours ago
AI Engineer - Agents & Backend
KoraHome.ai
Toronto, ON · Greater Toronto Area, Canada
Full-time
We are looking for an AI engineer with strong backend development skills to build and improve Kora’s core assistant capabilities.
Added 11 hours ago
DevOps Engineer (Permanent)
CoreFactor Inc.
ON · Downtown Toronto (Underground city), Ontario
Full-time
CoreFactor is searching for a DevOps Engineer on a permanent/full-time basis.
Added 11 hours ago
Senior AI Engineer (Permanent)
CoreFactor Inc.
ON · Downtown Toronto (Underground city), Ontario
Full-time
CoreFactor is searching for a Senior AI Engineer on a permanent/full-time basis.

Mecka

Software Developer, Robotic Data & Deliveries

Richmond Hill, ON, Canada

Pay: $150,000 to $200,000 USD / year
Job type: Full-time
Apply by: Oct 27, 2026
Posting language: English
Posted: Sep 27, 2026

Apply About employer

Applications open in a new tab.

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.

The Role

We are hiring a Software Developer to build - end to end - the internal products and tooling that turn Mecka’s ego-data pipeline into fast, reliable, at-spec dataset deliveries to frontier AI labs. This is a 0→1 role: you’ll take a rough delivery problem, design the interface and the system behind it, ship a first version fast, and iterate with the people using it.

You’ll own whole surfaces rather than a single layer - the review and QA UIs our labeling and delivery teams live in, the dashboards sales uses to track a delivery, the export and validation logic underneath, and the data plumbing that ties it together. Front-end one week, data pipeline the next, a scrappy internal tool the week after.

You’ll work hand-in-hand with the Delivery Operations team - including our Robotic Data & Deliveries TPM - turning recurring delivery pain into products people actually want to use. When a workflow is slow, manual, or fragile, you’re the one who builds the thing that fixes it.

Ideal background: full-stack or product engineering with a track record of building tools and products 0→1. Comfort with data and large-dataset systems is a strong plus, but breadth, product sense, and speed matter more than depth in any one stack.

What you will be doing:

Internal Products & Delivery Tooling

Design and build the internal products our teams use every day - dataset review and QA interfaces, delivery-tracking dashboards, data viewers, and the workflows that string them together - owning both the UI and the logic behind it.
Turn one-off scripts and manual steps into real tools with a usable interface, so delivery, sales, labeling, and QA move faster without engineering babysitting.

0→1 Product Building

Take fuzzy problems from a conversation to a shipped v1 quickly, then iterate with real users - internal teams today, and the experience AI-lab customers touch when they receive a delivery.
Make pragmatic build-vs-buy and scope calls; ship the 80% that unblocks people now and harden it as it proves out.

Data & Platform Plumbing

Build the pipelines and APIs that package, validate, index, and serve ego datasets - the systems that make petabyte-scale video and sensor data usable for delivery, labeling, QA, and model training.
Keep the tools you ship reliable and honest about data quality, so problems get caught before a dataset reaches a customer.

Who You Are

3+ years building software as a full-stack or product engineer (or equivalent impact) - you’re comfortable owning a feature from UI to data.
Fluent in a modern front-end stack (e.g., TypeScript/React) and at least one backend language (e.g., Python, Node, Go).
A demonstrated 0→1 builder - you’ve taken tools or products from nothing to in-use, and you thrive in ambiguity without a detailed spec.
Strong product sense and a bias to ship: you scope ruthlessly, get a v1 in front of users, and iterate.
Comfortable working directly with data - querying databases (e.g., SQL, MongoDB) and reshaping or validating datasets.

Even better if you have:

You’ve been an early or founding engineer, built internal tools teams loved, or shipped side projects end to end.
You have real UX/design instincts - your tools are fast, clear, and pleasant to use, not just functional.
You think in terms of the user, clean interfaces, and shipping - and you write maintainable code with strong ownership.
Exposure to video/media or large-dataset systems (ingestion, storage, metadata/search, ETL) is a plus, not a requirement.

Why This Role

Own real surface area from day one - build the products that power petabyte-scale robotics datasets and the deliveries frontier AI labs depend on.
Maximum breadth: front-end, back-end, data, and product, on problems that are still greenfield.
High ownership and direct impact across delivery, operations, sales, and research - paired tightly with the TPM who owns the delivery programs you build for.

A Note on Applying

Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. 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.

Inclusive Hiring at Mecka

We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.

Use of Artificial Intelligence in Recruitment

Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.

Compensation Range: $150K - $200K

Apply About employer

More about this job

Responsibilities

Build and own internal products and tooling for dataset review, quality assurance, delivery tracking, data exports, and validation, taking projects from an initial concept through launch and iteration. Develop reliable pipelines and APIs to package, index, validate, and serve large robotics datasets, while working closely with delivery operations and other internal teams.

Requirements

Requires at least three years of full-stack or product engineering experience, fluency in a modern front-end stack such as TypeScript and React, and experience with at least one backend language such as Python, Node.js, or Go. Candidates should have a track record of building products from 0 to 1, strong product judgment, and comfort querying, reshaping, and validating data; experience with video or large-dataset systems is a plus.

Skills

Full-Stack Development
TypeScript
React
Python
Node.js
Go
SQL
MongoDB
Product Engineering
User Interface Development
Data Pipelines
API Development
Dataset Validation
Data Quality
ETL
Video and Sensor Data Systems

Visa sponsorship

Not detected in the job text

Keywords

Robotics
Embodied AI
Data Infrastructure
Ego Data
Full-Stack Development
Product Engineering
TypeScript
React
Python
Node.js
Go
SQL
MongoDB
Internal Tools
User Interfaces
Dataset Review
Quality Assurance
Data Pipelines
APIs
Dataset Validation
Data Export
Data Indexing
Petabyte-Scale Data
Video Data
Sensor Data
ETL
Data Labeling
Data Quality
Delivery Operations
Model Training

Report this job