Full-time jobs in Canada (394,442 jobs)

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

394,442 listings · 47,943 employers Counted Nov 12, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (9,455 listings), Health Match BC (4,294 listings), Walmart (3,019 listings).

Common roles: Project manager, Sales representative, Cook.

68,391 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	39,529
CAD / year	80,000.00	26,485
CAD / month	5,377.61	716
USD / year	126,000.00	230
CAD / week	1,629.05	84
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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Randstad Digital

Senior Technical Analyst - DevOps & Production Ops

Toronto, ON, Canada
Greater Toronto Area, Canada, 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: 5–8 years of experience in cloud engineering, DevOps, software development, data engineering, or production technical operations.
Posting language: English
Posted: Nov 12, 2026

Original job description

Senior Technical Analyst - DevOps Focus (AWS DevOps, MLOps & Production Operations)

General Company Info

Our client is a privately owned, established financial services leader that has been helping Canadian investors build stronger financial futures for over 35 years. Offering a wide range of trusted investment portfolios and services to individuals and institutions, our client boldly embraces innovation across every area of their business. Recognized as one of Canada’s Top 100 Employers for the past five consecutive years, they foster a compassionate, inclusive, and people-centric environment where team members are supported to grow both personally and professionally.

General Role Info

Our client is seeking a hands-on Senior Technical Analyst / Developer with a strong focus on AWS DevOps, cloud infrastructure, and production operations to deploy, scale, and support enterprise machine learning, data, and AI workloads. Bridging cloud engineering, MLOps, software development, and production support, you will partner closely with Architecture, Security, Cloud, Data Science, and Product teams to ensure reliable, secure, and cost-effective deployments across AWS, Snowflake, and Informatica Cloud. You will also provide day-to-day technical leadership, code reviews, and mentorship to fellow team members.

Main Responsibilities

AWS DevOps & Cloud Infrastructure: Deploy, manage, and operate production ML, data, and AI workloads on AWS (leveraging services such as SageMaker, Bedrock, S3, Lambda, ECS, EKS, and CloudWatch).
CI/CD & Automation: Build and maintain robust CI/CD pipelines, containerized deployments, infrastructure automation, and Python/SQL-based operational automation.
Production Operations & Reliability: Implement comprehensive logging, monitoring, alerting, cloud cost controls, and operational runbooks. Coordinate production releases, deployment validation, and operational handovers.
Incident Management & Root-Cause Analysis: Lead troubleshooting across application, data, infrastructure, and model-processing layers, driving thorough root-cause analysis and preventative fixes.
MLOps, Data & AI Pipeline Support: Operationalize machine learning models and support Generative/Agentic AI retrieval workflows, model versioning, automated testing, and data pipelines across AWS, Snowflake, and Informatica Cloud.
Technical Leadership & Governance: Translate business and technical requirements into resilient architecture designs; review solutions for security, data quality, lineage, and architectural standards; and mentor team members through code reviews and knowledge sharing.

Must Haves

Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field (or equivalent practical experience).
5–8 years of experience in cloud engineering, DevOps, software development, data engineering, or production technical operations.
Hands-on experience deploying, managing, and supporting production workloads on AWS.
Strong experience with Git, CI/CD pipelines, automated testing, logging, monitoring, and production support.
Strong hands-on proficiency in Python and SQL for automation, integrations, and data processing.
Deep hands-on experience with specific AWS services, including SageMaker, Amazon Bedrock, S3, Lambda, ECS, EKS, and CloudWatch.
Working experience with Snowflake and Informatica Cloud.
Proven experience building and supporting data pipelines, system integrations, and troubleshooting complex production incidents.
Strong analytical, problem-solving, and stakeholder-management skills, with the ability to translate requirements into actionable technical specifications.
Current legal work authorization to work in Canada.

Nice to Haves

Background in Docker, Infrastructure as Code (IaC), and workflow orchestration tools.
Experience operationalizing machine learning models and implementing MLOps best practices (versioning, monitoring, deployment).
Exposure to Generative AI, RAG (Retrieval-Augmented Generation), vector search, or agent-based workflows.
Familiarity with REST APIs, enterprise integrations, cloud security best practices, and data lineage/metadata governance.
Relevant certifications in AWS, DevOps, Snowflake, Informatica, or Data Engineering.

Other Important Info

Compensation: $100,000 – $125,000 CAD base salary + 20% annual bonus target.
Work Model & Location: Hybrid schedule 2 Days Onsite - 3 Robert Speck Parkway, Mississauga.

Total Rewards & Perks:

Group RRSP contributions starting after 6 months (no employee matching required).
100% employer-paid comprehensive health benefits starting Day 1, including up to $5,000/year for mental health services and therapy.
Parental leave top-up to 100% of salary for up to 25 weeks.
Up to $650 home office equipment allowance.
Generous PTO plus 2 paid volunteer days annually.
Extensive learning and development support, including 11,000+ training courses, tuition reimbursement, and financial rewards for completing required designations.

📩 How to Apply

If this sounds like a strong fit for your background and you meet the must-have qualifications, please forward your CV directly to me at:

📧 ANDY.WETTLAUFER@RANDSTADDIGITAL.COM

This post is for existing and upcoming vacanies

Apply on LinkedIn About employer

More about this job

Responsibilities

Deploy and operate production machine learning, data, and AI workloads across AWS, Snowflake, and Informatica Cloud, building CI/CD pipelines and automation while ensuring reliability, security, and cost control. Lead production releases and incident investigations, support MLOps and AI workflows, and provide technical guidance through architecture reviews, code reviews, and mentorship.

Requirements

Requires a bachelor’s degree in a relevant field or equivalent practical experience, 5–8 years of relevant experience, and hands-on AWS production operations experience with Python, SQL, CI/CD, monitoring, and production support. Candidates must also have experience with SageMaker, Bedrock, S3, Lambda, ECS, EKS, CloudWatch, Snowflake, Informatica Cloud, data pipelines, and complex incident troubleshooting, as well as legal authorization to work in Canada.

Skills

AWS DevOps
Cloud Infrastructure
Python
SQL
CI/CD
Production Operations
Machine Learning Operations
Amazon SageMaker
Amazon Bedrock
Snowflake
Informatica Cloud
Docker
Infrastructure As Code
Data Pipelines
Incident Management
Monitoring And Logging

Benefits

Annual Bonus Target
Group RRSP Contributions
Employer-Paid Health Benefits
Mental Health Services Coverage
Parental Leave Salary Top-Up
Home Office Equipment Allowance
Paid Time Off
Paid Volunteer Days
Learning And Development Support
Tuition Reimbursement

Visa sponsorship

Not detected in the job text

Hiring contact

Andy Wettlaufer

Hiring contact email

ANDY.WETTLAUFER@RANDSTADDIGITAL.COM

Keywords

AWS
DevOps
MLOps
Production Operations
Cloud Infrastructure
Amazon SageMaker
Amazon Bedrock
Amazon S3
AWS Lambda
Amazon ECS
Amazon EKS
Amazon CloudWatch
Snowflake
Informatica Cloud
Python
SQL
Git
CI/CD
Docker
Infrastructure As Code
Workflow Orchestration
Machine Learning
Generative AI
Retrieval-Augmented Generation
Vector Search
Data Pipelines
REST APIs
Incident Management
Root-Cause Analysis
Data Lineage

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Work requirements

Full-time jobs in Canada