Cloud & DevOps · Learning guide

Kubernetes

Asked for in 16 job posts at 7 companies across Canada.

No job posts in Columbus yet, so we're showing all of Canada.

Demand over time

Job posts asking for Kubernetes, by week, last 16 weeks

in the last 4 weeks · 3 the 4 before

Job posts asking for this skill, by week
Week of	Job posts
Jul 20	0
Jul 27	0
Aug 3	0
Aug 10	1
Aug 17	0
Aug 24	0
Aug 31	2
Sep 7	1
Sep 14	2
Sep 21	0
Sep 28	0
Oct 5	1
Oct 12	0
Oct 19	3
Oct 26	2
Nov 2	2

Who's hiring

Companies with posts that ask for it

CCohere7
11Password4
bblackduck1
llanternstudiosinc1
rrobotsandpencils1
LLoopio1
FFaire1

Newest job posts

Learn next

Asked for in the same posts

Python AWS Google Cloud CI/CD Go Azure Docker Terraform

Impact projects

Real problems in Canada, from public data. Build something that helps, and prove Kubernetes while you do it.

AI-suggestedUN SDG 16

In Calgary, police-reported cybercrime incidents per 100,000 people moved from 74.3 in 2016 to 203 in 2025. Local residents and small businesses face increased vulnerability to online fraud.

Police-reported cybercrime incidents per 100,000 people, Calgary (yearly)

Police-reported cybercrime incidents per 100,000 people, Calgary (yearly)
Period	Value
2016	74.3 per 100,000 people
2017	116.2 per 100,000 people
2018	164.8 per 100,000 people
2019	167.9 per 100,000 people
2020	186.9 per 100,000 people
2021	202.9 per 100,000 people
2022	208.9 per 100,000 people
2023	213.6 per 100,000 people
2024	234.7 per 100,000 people
2025	203 per 100,000 people

What to build: Build and run a microservices alert network on Kubernetes for local non-profit groups sharing cyber threat notices.
How it practises Kubernetes: Practise authoring Kubernetes deployment manifests, configuring pod resource limits, and exposing services through ingress.
Proof to submit: Submit a public GitHub repository with Kubernetes YAML manifests and a terminal recording showing pod lifecycle tests.

Data: Statistics Canada table 35-10-0002-01

AI-suggestedUN SDG 13

Greenhouse gas emissions from industries and households in Alberta moved from 265130 in 2009 to 271415 in 2023. Communities across the province experience sustained environmental stress from industrial and residential emissions.

Greenhouse gas emissions from industries and households, Alberta (yearly, kilotonnes of CO2 equivalent)

Greenhouse gas emissions from industries and households, Alberta (yearly, kilotonnes of CO2 equivalent)
Period	Value
2009	265,130 kilotonnes
2010	273,996 kilotonnes
2011	285,154 kilotonnes
2012	290,700 kilotonnes
2013	300,770 kilotonnes
2014	303,757 kilotonnes
2015	295,870 kilotonnes
2016	278,406 kilotonnes
2017	291,330 kilotonnes
2018	291,567 kilotonnes
2019	292,346 kilotonnes
2020	271,006 kilotonnes
2021	275,547 kilotonnes
2022	273,636 kilotonnes
2023	271,415 kilotonnes

What to build: Build a containerized data processing pipeline on Kubernetes to help local conservation groups analyze emissions reports.
How it practises Kubernetes: Practise deploying Kubernetes StatefulSets, configuring persistent volume claims, and setting up horizontal pod autoscaling.
Proof to submit: Submit a public GitHub repository with configuration files and an automated cluster test script.

Data: Statistics Canada table 38-10-0097-01

Best resources

Free, and hand-picked. Start with the first one.

Projects to prove it AI-suggested

Automated Horizontal Pod Autoscaling Evaluator
A metrics collector and load simulator that tests microservice autoscaling performance under sudden synthetic traffic spikes. It helps platform engineers fine-tune scaling thresholds before peak commercial shopping events.
Self-Healing Edge Device Registry
A cluster management controller that tracks health telemetry from simulated IoT edge nodes and triggers automated container restarts on failures. It allows industrial operations teams to maintain resilient edge computing infrastructure.
Automated Staging Preview Operator
A custom Kubernetes operator that creates and tears down isolated ephemeral testing namespaces for every active pull request. It enables software teams to preview full-stack changes in production-identical clusters.