Full-time jobs in Canada (399,410 jobs)

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

399,410 listings · 48,147 employers Counted Nov 13, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (9,535 listings), Health Match BC (4,422 listings), Walmart (3,058 listings).

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

68,930 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	39,740
CAD / year	80,000.00	26,784
CAD / month	5,317.00	739
USD / year	124,500.00	232
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

Group jobs by employerEmail me new jobs Save this search

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Toronto, ON
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- Full-time
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Senior Director, Manufacturing & Supply Chain
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Vancouver, BC
- Full-time

Litmus

Senior Golang Engineer, Data Processing

Toronto, ON, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 12, 2026
Experience: 5+ years of backend engineering experience with strong, hands-on proficiency in Go
Posting language: English
Posted: Nov 12, 2026

Original job description

Who is Litmus

Litmus is building the data foundation that powers industrial AI.

AI doesn’t work without real-world, contextualized data - Litmus makes that data usable. As AI adoption accelerates, most industrial environments still can’t access or use their operational data. We solve that gap.

We’re a growth-stage software company helping manufacturers access, structure, and use real-time data from machines, systems, and sensors at the edge. Our platform sits at the intersection of edge computing, AI, and industrial operations, enabling some of the world’s largest companies to run operations in real time, reduce downtime, and optimize production.

Backed by leading investors and trusted by global manufacturers and partners like Google, Microsoft, Dell, Oracle, and Mitsubishi, Litmus is powering the shift toward software-defined manufacturing.

Why join Litmus

Build the infrastructure that makes industrial AI possible

AI is moving beyond the cloud and into the physical world. At Litmus, you’ll build the infrastructure that enables real-time data to power AI and machine learning systems in production environments.

Work on problems where software meets the real world

Most AI systems fail without access to real-world data. You’ll build the layer that makes them viable in production. We solve challenges at the intersection of distributed systems, real-time data, and industrial constraints - where reliability, scale, and performance are non-negotiable.

Have real impact, fast

You’ll work on systems used by real customers in production, with direct impact on product and company trajectory. As a scaling company, we move quickly. You’ll have ownership, visibility, and the ability to shape both product and company as we scale.

Join a high-performance team

We’re building a team that holds a high bar and pushes each other to improve. You’ll work alongside experienced operators, engineers, and leaders who have done this before and are building again at scale. We hire people who take ownership, move quickly, and care about outcomes. No passengers.

Our culture

At Litmus, the team is collaborative, curious, and low ego. People are scrappy, take ownership, and look for ways to make an impact. We value empathy just as much as execution, whether that’s in how we build, how we communicate, or how we support each other.

We’re a growing company, so things move quickly and not everything is perfectly defined. If you enjoy figuring things out, working closely with others, and making steady progress, you’ll do well here.

Role Summary

Our Data Processing team turns raw telemetry from factory floors into clean, real-time streams that power everything our customers build on Litmus. We're looking for a Senior Golang Engineer to own the pipelines at the heart of it all: high-throughput, low-latency services that ingest, transform, and route industrial data at scale. If you love Go, think in streams, and want your code running in production across real factories worldwide, let's talk.

This role is based in Santa Clara, California (preferred) or Toronto, Canada, working from the office at least 3 days a week. We'll also consider exceptional candidates based elsewhere in North America.

What You'll Do:

Design and build high-performance data processing services in Go that handle real-time telemetry at industrial scale
Own data pipelines end-to-end, from ingestion and transformation to routing and delivery
Optimize for throughput, latency, and reliability in systems that can't afford to drop data
Build streaming integrations on top of messaging systems like NATS and MQTT
Collaborate with platform and edge teams to ship features that work in both cloud and constrained edge environments
Drive observability into everything you build so issues surface before customers feel them
Write clean, testable Go code with proper error handling, and raise the bar through thoughtful code reviews

What You'll Have:

Must Have

5+ years of backend engineering experience with strong, hands-on proficiency in Go
Experience building data pipelines, stream processing, or high-throughput distributed services
Hands-on with Docker and Kubernetes in production environments
Comfortable working in Linux/Unix environments day-to-day
Solid grasp of concurrency, performance tuning, and memory management in Go
Experience with messaging systems (NATS, Kafka, MQTT, or similar)
Solid understanding of databases, including time-series or NoSQL stores
A track record of owning critical production services and seeing problems through to resolution

Nice to Have

Experience with industrial protocols (OPC-UA, MODBUS) or IoT/edge computing
Familiarity with time-series databases (InfluxDB, TimescaleDB)
Observability tooling (Prometheus, Grafana, Datadog)
Cloud-native development on AWS, GCP, or Azure

Apply on LinkedIn About employer

More about this job

Responsibilities

Design, build, and own high-performance Go services and end-to-end pipelines that ingest, transform, and route industrial telemetry with high throughput, low latency, and reliability. Develop messaging integrations, improve observability, collaborate with platform and edge teams, and maintain clean, testable code through thoughtful reviews.

Requirements

Requires 5+ years of backend engineering experience and strong hands-on Go proficiency, including experience with data pipelines, stream processing, or high-throughput distributed services. Candidates must also have production experience with Docker and Kubernetes, Linux/Unix, Go concurrency and performance, messaging systems, databases, and ownership of critical production services.

Skills

Go
Backend Engineering
Data Pipelines
Stream Processing
Distributed Systems
Docker
Kubernetes
Linux/Unix
Concurrency
Performance Tuning
Memory Management
NATS
Kafka
MQTT
Databases
Observability

Visa sponsorship

Not detected in the job text

Keywords

Go
Industrial AI
Industrial Telemetry
Real-Time Data
Data Processing
Data Pipelines
Stream Processing
Distributed Systems
High Throughput
Low Latency
Docker
Kubernetes
Linux/Unix
Concurrency
Performance Tuning
Memory Management
NATS
MQTT
Kafka
OPC-UA
MODBUS
IoT
Edge Computing
InfluxDB
TimescaleDB
Prometheus
Grafana
Datadog
AWS
GCP

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Work requirements

Full-time jobs in Canada