Jobs in Richmond, BC and nearby (39,631 jobs)

Jobs within 25 km of Richmond, BC, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

39,631 listings · 7,093 employers Counted Nov 10, 2026. How we count

About these jobs

Employers hiring include Vancouver Coastal Health (1,332 listings), Fraser Health (991 listings), Health Match BC (944 listings).

Common roles: Registered nurse, Retail sales associate, Software engineer.

10,092 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	32.84	6,145
CAD / year	81,194.00	3,299
CAD / month	5,692.25	476
CAD / week	1,500.00	13

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: 0% remote, 19% hybrid, 80% 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

Jobs in Richmond, BC and nearby

Within 25 km

Group jobs by employerEmail me new jobs Save this search

Added 1 day ago
M
Seasonal Sales Support
MACKAGE
Richmond, BC
- Part-time
Added 1 day ago
M
Assistant Store Manager
MACKAGE
Vancouver, BC
- Full-time
Added 1 day ago
PT
Technician I - Security
Paladin Technologies
Vancouver, BC
- Full-time
You may be required to work “night shifts” when needed based on project/service requirements
Added 1 day ago
PT
Technician II - Security
Paladin Technologies
Vancouver, BC
- Full-time
You may be required to work “night shifts” when needed based on project/service requirements
Added 1 day ago
TU
Assistant Housekeeping Manager
The University of British Columbia
Vancouver, BC
- $6,143.67 to $8,830.25 CAD / month
- Full-time
Added 1 day ago
TH
Millwork Sales Associate: Part Time - RICHMOND
The Home Depot Canada
Richmond, BC
- Part-time
Added 1 day ago
S
Cloud Engineer, Healthcare IT PACS
Sectra
Vancouver, BC
- Full-time
Added 1 day ago
IR
BIM Team Lead
Impact Recruitment
Vancouver, BC
- Full-time
Added 1 day ago
LS
Delivery for Documents
LORMIT® SERVICES (Vancouver)
Burnaby, BC
- Full-time
Added 1 day ago
DC
Administrative Officer I
Douglas College
New Westminster, BC
- Full-time
Added 1 day ago
LF
Executive Vice President, People, Legal & Corporate Secretary (Chief Legal Officer)
LGM Financial Services
Vancouver, BC
- $260,000 to $315,000 CAD / year
- Full-time
Added 1 day ago
SP
Small, Medium, and Growth Business - Account Executive - Vancouver (Office-Based)
Salesforce Partner Canada
Vancouver, BC
- Full-time
Added 1 day ago
AI
CNC Machinist, Horizontal Boring Mill (Red Seal)
Axton Incorporated
Delta, BC
- Full-time
Added 1 day ago
VC
Registered Nurse (RN) - Med/Surg - Intensive Care Unit
Vancouver Coastal Health
Richmond, BC
- Full-time
Added 1 day ago
CO
Boarding Agent
Chamber of Shipping of British Columbia
Burnaby, BC
- Full-time
Added 1 day ago
CG
Customer Service, Full-time, SFU Dining Commons, Burnaby
Compass Group Canada
Burnaby, BC
- Full-time
Added 1 day ago
SC
Culinary Specialist 12-18 Month Contract
Sysco Canada Inc.
Vancouver, BC
- $80,000 to $100,000 CAD / year
- Full-time
Added 1 day ago
VF
Assistant Manager, Sanitation
Village Farms International Inc.
Delta, BC
- $75,000 to $85,000 CAD / year
- Full-time
Flexibility to work rotating shifts, including mornings, afternoons, nights, and weekends, to meet operational requirements
Added 1 day ago
P
Workplace Systems Engineer
Punt
Vancouver, BC
- Full-time
Added 1 day ago
OA
Lot Associate - Porsche Centre Richmond
OpenRoad Auto Group
Richmond, BC
- Part-time
Added 1 day ago
FF
Sr Manager, Soft Goods Product
Fox Factory
Burnaby, BC
- Full-time
Added 1 day ago
Catastrophe Risk Specialist / Senior Catastrophey Risk Specialist
Wawanesa Insurance
Vancouver, BC
Added 1 day ago
V
Financial Services Representative (BCGEU) - Burnaby Heights
Vancity
Burnaby, BC
- Part-time
Added 1 day ago
Workplace Lead
Asana
Vancouver, BC
Added 1 day ago
I
Sandwich Artist ®
IPC/Subway
Richmond, BC
- Full-time
- Part-time
Must have the ability to lift 10 pounds frequently and up to 30 pounds occasionally

MDA

Intermediate DevOps Engineer

Richmond, BC, V6V 2J3, Canada

The compensation range for this position is $78,000 - $108,000 annually. · Full-time

Apply on recruiting.ultipro.ca About employer

Applications open in a new tab.

Job details

Pay: The compensation range for this position is $78,000 - $108,000 annually.
Job type: Full-time
Experience: 3+ years of software development experience with at least 2 years focused on MLOps
Posting language: English
Posted: Nov 9, 2026

Original job description

ABOUT MDA SPACE

Building the space between proven and possible, MDA Space is a trusted mission partner to the global space industry. A robotics, satellite systems and geointelligence pioneer with a 55-year+ story of world firsts and more than 450 missions, MDA Space is a global leader in communications satellites, Earth and space observation, and space exploration and infrastructure. The global MDA Space team of more than 4,000+ space experts has the knowledge and know-how to turn an audacious customer vision into an achievable mission – bringing to bear a one-of-a-kind mix of experience, engineering excellence and wide-eyed wonder that’s been in our DNA since day one. For those who dream big and push boundaries on the ground and in the stars to change the world for the better, we’ll take you there. For more information, visit www.mda.space.

The Position

We are looking for a DevOps Specialist with experience with MLOps to bridge the gap between machine learning development and production engineering. In this role, you will design, build, and maintain the infrastructure and tooling that enables our AI and ML Analysts and Engineers to rapidly develop, deploy, monitor, and iterate on machine learning models at scale.

The DevOps Specialist is a core member of the Geointelligence DevSecOps and MLOps team. You will work at the intersection of Software Engineering, DevOps, and Machine Learning – ensuring our AI and ML systems are reliable, reproducible, and efficient. This is a high-impact role that will shape how we deliver AI – powered products to our customers.

Responsibilities:

Platform

Design and evolve a scalable, secure MLOps platform that include model registry, CI / CD / CT, feature store, experiment tracking, and monitoring built on Kubernetes, Terraform for both on premise and cloud (AWS)
Develop reusable infrastructure-as-code modules for data ingestion, model serving, and auto scaling.

Model Lifecycle Management

Implement automated CI / CD pipelines that take model code, data schemas, and container images from development to production with minimal down time
Integrate model versioning with data lineage and meta data tracking

Operational Excellence

Build observability platform for latency, throughput, drift detection, and resource utilization of live models
Develop automated alerts and self healing mechanisms for model anomalies or hardware failures

Collaboration and Enablement

Partner with AI / ML Analysts to translate research notebooks into production ready pipelines, providing tooling, best practice guidance, and code reviews
Collaborate with Corporate IT, Technical Governance, and Platform Products to up-skill teams on MLOps best practices and platform usage.

Security and Compliance

Implement data encryption in transit and at rest, role-based access control, and secure secret management meeting both government and industry standards.
Participate in risk assessments and support audit activities for Geointelligence AI and ML systems.

Continuous Improvement

Evaluate emerging technologies and recommend adoption where they add measurable value
Contribute to open source components and publish internal libraries to foster a reusable ecosystem

Qualifications/ Requirements:

Sc in Computer Science, B.Eng Engineering, Data Science, or related field
3+ years of software development experience with at least 2 years focused on MLOps
Proficiency in Python and at least one compiled language such as C / C++, Go, Rust
Proficiency with Docker containers and Kubernetes
Infrastructure as code (Terraform, Ansible)
CI / CD / CT tooling
Model serving frameworks
Experiment / metadata tracking
Monitoring and Observability
Cloud Platform
Experience with AWS services for compute including EKS, storage, and AI / ML e.g. SageMaker / Bedrock
Excellent communication – the ability to translate technical concepts for non-technical stakeholders
Proactive problem solver, comfortable working in a fast paced, mission critical environment

Comments/Special Considerations:

Successful candidates must obtain and hold security clearance at the reliability status level, and pass security assessment for the Controlled Goods Program (CGP).

We’re a dream team of purpose-driven, collaborative and passionate people, and we are constantly looking for others to join #TeamMDA to ignite new and innovative approaches to problem-solving that push us forward to improve life on and above Earth. If you’re excited to expand our place in space and driven to inspire the next generation, we’ll take you there.

We have entered a new era of exploration and development, and MDA welcomes all who yearn to suit up and be part of it. An equal opportunity employer prizing diversity, integrity and collaboration, we are committed to growing MDA’s and Canada’s leadership in this next golden age.

MDA provides competitive compensation and benefits packages for its employees at all locations. As a team member of MDA, you and your qualified dependents are eligible to participate in a benefit plan that ensures a comprehensive level of protection through competitive health care including; extended healthcare and flexible drug plans, dental and vision benefits, disability income protection, life insurance, group retirement savings plans; and an employee and family assistance program.

MDA is proud to provide accommodation(s) during the recruitment process. Should you require any accommodations, please indicate this on your application/cover letter and we will work with you to meet your accessibility needs.

The compensation range for this position is $78,000 - $108,000 annually. The specific compensation offered will be based on the qualifications and experience of the successful candidate.

#Sp #IND

Apply on recruiting.ultipro.ca About employer

More about this job

Responsibilities

Design and maintain a scalable MLOps platform to enable the development, deployment, and monitoring of machine learning models. Collaborate with AI/ML analysts to translate research into production-ready pipelines while ensuring system reliability and security.

Requirements

Requires a degree in Computer Science, Engineering, or Data Science with at least 3 years of software development experience, including 2 years in MLOps. Proficiency in Python, containerization, and infrastructure-as-code tools is essential.

Skills

DevOps
MLOps
Python
Kubernetes
Terraform
AWS
CI/CD
Docker
Infrastructure as code
Model lifecycle management
Observability
Data lineage
Ansible
C++
Go
Rust

Benefits

Extended healthcare
Flexible drug plans
Dental benefits
Vision benefits
Disability income protection
Life insurance
Employee and family assistance program

Visa sponsorship

Not detected in the job text

Keywords

DevOps
MLOps
Python
Kubernetes
Terraform
AWS
CI/CD
Docker
Infrastructure as code
Model registry
Feature store
Observability
Ansible
C++
Go
Rust
EKS
SageMaker
Bedrock
Geointelligence
DevSecOps
Data lineage
Metadata tracking
Drift detection
Role-based access control
Security clearance
Controlled Goods Program
Software engineering
Machine learning
Cloud computing

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Work requirements

Jobs in Richmond, BC and nearby