Jobs in Canada

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Added 2 months ago
MT
Engineering Manager, AI-First Cloud Development
Mach7 Technologies
Waterloo, ON
- Full-time
Engineering Manager, AI-First Cloud Development to help lead that
Added 2 months ago
FC
Director, Engineering (Ad Tech)
Fox Corporation
Toronto, ON · CAN - ON - Yonge St
- Full-time
Experience with core backend infrastructure such as Postgres, Redis, Kafka and/or Kinesis, and cloud-native operational environments.
Added 2 months ago
G
Directeur(trice) / Director - Digital Platforms & Delivery Excellence
Genetec
Remote, Canada
- Full-time
- Remote
…matière de qualité logicielle, d'automatisation, de plateformes cloud et de pratiques de…
Added 2 months ago
CI
Senior Manager, FP&A
Celestica International LP
Toronto, ON
- $125,000 to $175,000 CAD / year
…Celestica enables critical data center infrastructure for AI, cloud, and hybrid cloud and advances technologies in high-growth markets. With a talented team and a strategic global network,…
Added 2 months ago
T
Senior Software Developer
Taiv
Winnipeg, MB
- Full-time
Experience working with major cloud providers
Added 2 months ago
M
Specialty Health Platform Lead
McKesson
Mississauga, ON
- Full-time
Working knowledge of enterprise CRM, integration, and AI platform patterns, with depth in Salesforce Health Cloud, Service Cloud, or comparable healthcare platforms.
Added 2 months ago
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GIS Developer
Bridgenext
Toronto, ON · Greater Toronto Area, Canada
- $115,000 to $130,000 CAD / year
- Full-time
Must Have Skills
Added 2 months ago
MC
Staff Software Engineer
Moody's Corporation
Toronto, ON
- Full-time
Deep expertise in software engineering principles, distributed systems, cloud-native architectures, and scalable application design
Added 2 months ago
SD
Product Manager HPCWorks Tools
Siemens Digital Industries Software
Toronto, ON
- Full-time
Navops enables intelligent cloud resource orchestration in environments integrated with workload managers (WLMs), supporting dynamic scaling across Siemens solutions such as Grid Engine,…
Added 2 months ago
C
Senior Python Developer
CGI
Ottawa, ON
- Full-time
We are seeking a Senior Python Developer with expertise in cloud native development, Azure Databricks, and API engineering. This role supports the development of scalable solutions that…
Added 2 months ago
Solutions Architect
Appnovation Technologies
Toronto, ON
We are seeking a Principal Solutions Architect to define the architecture for a governed, zero-copy, cross-cloud data platform, establishing the design standards and integration priorities…
Added 2 months ago
Manager, Development
Government of Alberta
Edmonton, AB
Lead innovation and modernization initiatives by evaluating emerging technologies, reducing technical debt, and advancing cloud-native, AI-built, and reusable digital solutions.
Added 2 months ago
GM
Staff Engineer, Site Reliability Engineering
General Motors
Markham, ON
- Full-time
Participate in a weekly on-call rotation with 12-hour shifts; the rotation cycles every eight weeks
Added 2 months ago
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Senior Front End Developer, React and NextJS
RAVL
Toronto, ON
- Full-time
Contribute to CI/CD practices, automated testing, and cloud-native deployment workflows
Added 2 months ago
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Infrastructure Operations Engineer-EN
CAE
Montreal, QC
- Full-time
Support the migration from VMware-based infrastructure toward OpenShift Virtualization, cloud-native services and modern platform operations.
Added 2 months ago
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GenAI Architect
Lantern
Vancouver, BC
- Full-time
Proficiency in Python and experience with cloud-native development.
Added 2 months ago
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Machine Learning Developer Intern (January 2027 - 4 Months - Toronto or Montreal) / Stagiaire développeur en apprentissage automatique (janvier 2027 - 4 mois - Toronto ou Montréal)
IBM
Toronto, ON
- $65,166.4 to $100,547.2 CAD / year
- Full-time
As an Intern Machine Learning Developer, you’ll have the unique opportunity to learn and use industry-leading ML technologies on a cloud platform (e.g. IBM Cloud, Azure, AWS or Edge) by…
Added 2 months ago
I
Machine Learning Developer Intern (January 2027 - 4 Months - Toronto or Montreal) / Stagiaire développeur en apprentissage automatique (janvier 2027 - 4 mois - Toronto ou Montréal)
IBM
Montreal, QC
- $65,166.4 to $100,547.2 CAD / year
- Full-time
As an Intern Machine Learning Developer, you’ll have the unique opportunity to learn and use industry-leading ML technologies on a cloud platform (e.g. IBM Cloud, Azure, AWS or Edge) by…
Added 2 months ago
PS
Solution Designer, Total Fund Solutions
Public Sector Pension Investment Board
Montreal, QC
- Full-time
Hands-on experience designing and delivering web applications, APIs, integrations, cloud-native solutions, and data platforms, including Snowflake or comparable cloud data technologies
Added 2 months ago
EF
Full Stack Developer
Element Fleet Management
Toronto, ON
- Full-time
Support cloud-native development and deployment activities using AWS services and DevOps tooling to improve deployment efficiency, scalability, and operational stability.
Added 2 months ago
Staff Engineer - Frontend
Munich Re
Toronto, ON
Lead the architecture, design, and development of modern full-stack applications, with a primary focus on frontend engineering using TypeScript, React, and cloud-native technologies.
Added 2 months ago
Salesforce Technical Architect - Financial Services Cloud, Marketing Cloud & Data360 - Manager
EY
Ottawa, ON · Toronto, ON · Montreal, QC · Quebec, QC
To qualify for the role you must have:
Added 2 months ago
GV
Stagiaire, développement de logiciel | Intern, Software Development
Grass Valley
Montreal, QC
- Internship
Added 2 months ago
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Group
Toronto, ON
Added 2 months ago
BS
Platform Engineer
Bay Street Staffing
Toronto, ON · Greater Toronto Area, Canada
- Contract
…capabilities, container platforms, observability solutions, and cloud-native engineering solutions that enable development teams across the…

General Motors

Staff Engineer, Site Reliability Engineering

Markham, ON, Canada

The salary range for this role is $147,000 to $196,600. · Full-time

Apply on generalmotors.wd5.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Pay: The salary range for this role is $147,000 to $196,600.
Job type: Full-time
Experience: 8+ years in SRE, DevOps, or systems engineering, including experience managing or mentoring high-impact teams.
Posting language: English
Posted: Sep 1, 2026

Original job description

Job Description

Vacancy Status:

Yes - This posting is for an existing vacancy within the organization and is open to new applications. (Backfill)

AI Disclosure:

As part of the application process, Artificial Intelligence will be used in the hiring process for this role

Work Arrangement: Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Markham office three times per week, at minimum.

About the role

General Motors is transforming the automotive landscape through its next-generation Software-Defined Vehicle platform. Data is central to that transformation, powering safety, personalization, energy optimization, operational decision-making, and connected customer experiences.

We are seeking a Staff Engineer to help make GM’s data platforms reliable, observable, operable, and scalable. This is a senior technical leadership role for someone who can move comfortably between system-level design, production operations, incident response, automation, and customer partnership.

You will help define and spread the engineering patterns that make services easier to operate. You will work with SRE, data engineering, infrastructure, developer experience, application, and product teams to improve reliability from design through production and continuously improve how the organization operates.

What you’ll do

Lead the design and implementation of scalable, fault-tolerant, and observable infrastructure supporting vehicle telemetry, data ingestion, and platform operations.

Lead production readiness efforts across multiple teams - engaging directly in code, shaping reliability standards, guiding architectural improvements, and ensuring applications launch with resilient deployments, strong observability, and predictable operations.

Design, implement, and improve CI/CD delivery pipelines that make releases repeatable, safe, observable, and fast. Establish appropriate quality gates, artifact promotion, deployment verification, progressive delivery, and rollback practices.

Partner across SRE, product, and application teams to design and implement meaningful SLOs, SLIs, observability, monitoring and alerting, runbooks, and operational best practices.

Build and improve reusable AI workflows, skills, and evaluations. Apply appropriate validation techniques, including regression testing, structured evaluations, and LLM-as-a-judge approaches where useful.

Automate operational work, including incident intake, triage, diagnostics, remediation, evidence collection, service requests, and customer-facing status workflows.

Participate in a weekly on-call rotation with 12-hour shifts; the rotation cycles every eight weeks. Lead incident response, communicate clearly under pressure, and coordinate effective mitigation and recovery.

Participate in post-incident reviews and drive durable, system-level fixes that prevent recurrence rather than relying on short-term patches or repeated manual workarounds.

Partner directly with internal customers to understand their needs, explain technical trade-offs, and improve service outcomes with tact, empathy, and clear communication.

Influence technical direction across teams, mentor engineers, and raise engineering standards through design reviews, code reviews, documentation, and hands-on leadership with cross-functional engineering projects.

Balance reliability, performance, security, delivery speed, and cost when making technical decisions - especially under pressure.

What you bring

8+ years in SRE, DevOps, or systems engineering, including experience managing or mentoring high-impact teams.

Track record of designing and building and maintaining high-scale, cloud-native systems in production (preferably Azure, AWS, or GCP).

Hands-on experience architecting observability patterns, including standardized instrumentation, OTEL collector configuration, SLO/SLI definitions, and deploying observability resources like monitors, alerts, and dashboards.

Strong understanding of production readiness, service ownership, SLOs, incident management, post-incident learning, and continuous reliability improvement.

Experience participating in an on-call rotation and leading technical response to production incidents.

Experience designing, operating, and improving CI/CD pipelines. Understanding of GitOps, release strategies, quality gates, deployment verification, progressive delivery, and safe rollback is expected.

Strong programming ability in Python, Go, Java, or a comparable language, with disciplined code review, version control, testing, and maintainability practices.

Familiarity with AI-assisted software development, LLM application practices, agentic workflows, and evaluation techniques.

Ability to work effectively with internal customers, including in difficult or high-pressure situations, with professionalism, tact, and empathy.

Excellent ownership attitude and the ability to operate with pace, judgment, and accountability in a high-velocity environment.

Ability to influence without relying on formal authority and to increase adoption of shared engineering patterns.

Strong written and verbal communication skills for both technical and non-technical audiences.

BS / MS / PhD in computer science, engineering, physics, mathematics, or another relevant, technical field

Preferred experience

Azure Databricks

Azure Event Hubs

Azure Kubernetes Service (AKS)

Kubernetes configuration management with Helm and Kustomize

Infrastructure as code, especially Terraform

GitHub Actions, Argo CD, and GitOps-based deployment models

Prometheus, Grafana, Datadog, OpenTelemetry, or comparable observability platforms and tools

LLM application development and testing with Promptfoo, agentic workflows and reusable AI skills with CoPilot

Experience operating large-scale data ingestion, processing, and delivery systems such as Fivetran, Apache Flink, Kafka, and Pulsar

Experience with vehicle telemetry, connected-vehicle platforms, or other high-volume event-driven systems

Why Join Us?

This is more than an engineering role - it’s an opportunity to shape the future of mobility. At GM, you’ll join a team committed to cutting-edge technology, sustainability, and inclusive innovation. With meaningful projects, a collaborative culture, and a global mission, your impact will be tangible and far-reaching.

Compensation:

The salary range for this role is $147,000 to $196,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.

Benefits Overview

The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:

Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave;
Healthcare, dental, and vision benefits;
Life insurance plans to cover you and your family;
Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement;
GM Vehicle Purchase Plan for you and your family.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Non-Discrimination and Equal Employment Opportunities

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Apply on generalmotors.wd5.myworkdayjobs.com About employer

More about this job

Responsibilities

Lead the design and implementation of scalable, fault-tolerant infrastructure while driving production readiness and reliability standards across teams. Manage incident response, automate operational workflows, and partner with cross-functional teams to improve service observability and performance.

Requirements

Requires 8+ years of experience in SRE, DevOps, or systems engineering with a strong track record in high-scale, cloud-native production environments. Candidates must possess proficiency in programming languages like Python or Go and have deep expertise in observability, CI/CD, and incident management.

Skills

Site Reliability Engineering
System-level design
Incident response
Automation
Cloud-native systems
Observability
CI/CD pipelines
Python
Go
Java
Kubernetes
Terraform
GitOps
Data engineering
Technical leadership
Mentoring

Benefits

Paid time off
Vacation days
Pregnancy leave
Parental leave
Adoption leave
Healthcare
Dental
Vision
Life insurance
Vehicle purchase plan

Visa sponsorship

Not detected in the job text

Keywords

SRE
DevOps
Software-Defined Vehicle
Azure
AWS
GCP
Kubernetes
Terraform
Helm
Kustomize
Prometheus
Grafana
Datadog
OpenTelemetry
Kafka
Apache Flink
Python
Go
Java
GitOps
CI/CD
LLM
Telemetry
SLO
SLI
Incident Management
Infrastructure as Code
Data Ingestion
Cloud-native
Observability

Seniority

Senior

Perks

Generous paid time off
Parental leave
Retirement plan

Tools

Azure Databricks
Azure Event Hubs
Azure Kubernetes Service
Terraform
Helm
Kustomize
GitHub Actions
Argo CD
Prometheus
Grafana

Languages

English

Fields of study

computer science
engineering
physics
mathematics

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Work requirements

Jobs in Canada