Software engineer jobs in Canada

Find software engineer jobs across Canada. Choose a place, compare current openings and read the employer’s requirements.

Counted Nov 2, 2026

Hiring at a glance

View jobs

Open jobs: 3,294
Employers: 1,181

Advertised starting pay

Average starting payCAD / year: $125,345Across 397 listings
Average starting payUSD / year: $160,867Across 116 listings
Average starting payCAD / hour: $63.71Across 93 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 10%318 listings
Hybrid: 41%1,362 listings
On-site: 48%1,593 listings

Not specified: 1% (21 listings)

Employers hiring include Amazon (120), Virtusa (65), Electronic Arts (59).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

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.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Software engineer jobs in Canada

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Added 13 days ago
T
SysOps Software Architect
Telesat
Ottawa, ON
- Full-time
The ESCP-P SysOps Software Architect will lead the architecture and technical direction of System Operations software capabilities required to support the ESCP-P program. The architect will…
Added 13 days ago
CI
Senior Software Engineer
Curinos Inc
Toronto, ON
- $130,000 to $140,000 CAD / year
- Full-time
Added 13 days ago
FI
Java Backend Engineer
Fierceli Inc, MBE, SBE
Canada
- Contract
Added 13 days ago
B
Intermediate Software Engineer
BluWave-ai
Ottawa, ON
- Full-time
We are looking for intermediate software developers who are passionate about building scalable, high-performance s
Added 13 days ago
E
Embedded Software Engineer
EPITEC
Ottawa, ON · Kanata, ON
- Full-time
Senior Software Engineer – Embedded Software Test & Automation
Added 13 days ago
TI
Software Engineer (Data)
Themis Intelligence
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…operational data into clear, high-confidence decisions. We design software that empowers grid professionals to think faster, act decisively, and operate with precision in critical…
Added 13 days ago
4S
Senior OpenStack Cloud Engineer
49 Solutions
Ottawa, ON
- $800 to $950 CAD / hour
- Contract
49 Solutions is seeking an experienced Senior OpenStack Cloud Engineer / Architect to support a large-scale Government of Canada cloud environment for Shared Services Canada and the…
Added 13 days ago
IG
Security Software Engineer
Insight Global
Toronto, ON
- $160,000 to $215,000 CAD / year
- Full-time
5+ years of hands-on software development experience
Added 13 days ago
PC
Cloud Infrastructure Engineer, Senior Associate
PwC Canada
Toronto, ON
- Full-time
Added 13 days ago
Software Development Engineer, Amazon Fulfillment Technologies (AFT) - Outbound/Flow, AFT Outbound Execution Teams
Amazon
Toronto, ON
Amazon Fulfillment Technologies builds software, hardware, and processes that help tens of thousands of employees deliver billions of items a year from over eighty warehouses worldwide. We…
Added 13 days ago
Security Software Engineer
Motive
Canada
Added 13 days ago
S
Senior Software Engineer (C# and Angular)
SimCorp
Toronto, ON
- Full-time
Added 13 days ago
T
Associate Software Engineer
TD
Toronto, ON
- Full-time
Added 13 days ago
Intermediate Software Engineer
MCAP
Waterloo, ON
Added 13 days ago
SS
Senior eFX Software Engineer (Java/Rust), Vice President
State Street
Toronto, ON
- Full-time
Added 13 days ago
QW
Software Engineer in Test
Quantum World Technologies Inc.
Toronto, ON
- Contract
Added 13 days ago
Software Development Engineer, Navigator
Amazon
Vancouver, BC
…deliver significant business impact? We are seeking a talented Software Development Engineer to lead the development of mission-critical initiatives that will transform our organization…
Added 13 days ago
PC
Cloud Infrastructure Engineer, Senior Associate
PwC Canada
Ottawa, ON
- Full-time
Added 13 days ago
PC
Cloud Infrastructure Engineer, Senior Associate
PwC Canada
Ottawa, ON
- Full-time
Added 13 days ago
S
Software Engineer Technical Lead (C# and Angular)
SimCorp
Toronto, ON
- Full-time
Added 13 days ago
L
Senior Java Software Engineer
Luxoft
Mississauga, ON
- Full-time
Added 13 days ago
WD
Senior Site Reliability Engineer
Walt Disney Animation Studios
Vancouver, BC
- $120,700 to $161,800 CAD / year
- Full-time
Added 13 days ago
AI
Senior Software Engineer
Aversan Inc.
Montreal, QC · Greater Montreal Metropolitan Area
- $115,000 to $135,000 CAD / year
- Full-time
…delivers leading-edge and reliable safety-critical electronics and software systems to the aerospace, defense, and space…
Added 13 days ago
WD
Staff Software Engineer - USD Authoring
Walt Disney Animation Studios
Vancouver, BC
- $143,100 to $191,950 CAD / year
- Full-time
Added 13 days ago
CO
Staff Software Engineer
Capital One
Toronto, ON
- Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Staff Software Engineer

Walt Disney Animation Studios

Senior Site Reliability Engineer

Vancouver, BC, Canada

$120,700 to $161,800 CAD / year · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $120,700 to $161,800 CAD / year
Job type: Full-time
Apply by: Nov 19, 2026
Experience: 5+ years of experience in SRE, DevOps, technical operations, systems engineering, software engineering, and/or related disciplines
Posting language: English
Posted: Oct 16, 2026

Original job description

Job Requirements

Walt Disney Animation Studios’ world-class filmmakers, artists, and technical collaborators create the magic of animation. The SRE team within the Platform & Infrastructure department at Walt Disney Animation Studios (WDAS) focuses on optimizing service deployments and improving system availability, latency, performance, and observability. We build performant infrastructure that artists use daily to create our celebrated animated content.

The Senior Site Reliability Engineer will drive the design, implementation, and operation of reliable, scalable infrastructure across the studio. This role partners closely with team members and stakeholders to evaluate emerging technologies, translate requirements into production-ready solutions, and ensure operational excellence through automation, observability, and reliability engineering practices.

Our studio thrives on a wide variety of technical backgrounds and experiences, so we encourage applicants to apply even if they have experiences not specified below. Bring your unique talents, passion and ideas to our team, and be a part of Disney’s creative legacy!

Responsibilities

Design, implement, and support robust on-premises and cloud-native deployments using infrastructure-as-code, security automation, and continuous improvement, while maintaining high reliability standards through comprehensive observability, SLIs/SLOs, and performance optimization
Securely deploy, operate, and support AI-powered tools and ML infrastructure within a production environment
Collaborate with stakeholders throughout the studio to understand workflows and translate business requirements into end-to-end platform and infrastructure solutions
Contribute to the design, operation, and evolution of SRE managed technologies, including CI/CD platforms, Git source management, cloud hosting, containerization, and web technologies such as Apache HTTPd and NGINX
Develop meaningful telemetry, alerting, and operational runbooks to maximize service visibility and minimize mean time to repair (MTTR)
Evaluate emerging technologies and operationalize new functionality by creating documented standards and reusable patterns to encourage adoption
Build internal tooling to enable the SRE team to efficiently isolate, diagnose, and resolve platform, service, and application issues

Key Qualifications

BS in Computer Science, Computer Engineering, Electrical Engineering, or comparable field of study, and/or equivalent work experience
5+ years of experience in SRE, DevOps, technical operations, systems engineering, software engineering, and/or related disciplines
Expertise in distributed systems, networking, hardware architecture, and capacity planning
Proven ability to lead and collaborate on large-scale cross-team projects with strong verbal and written communication skills
Proficiency in UNIX/Linux administration, troubleshooting, performance tuning, and security
Experience with monitoring and observability tools such as Datadog, Prometheus, and Grafana, including AI-specific metrics such as model benchmarking, inference latency, and token consumption
Proficient with containerization and orchestration systems in enterprise production environments (e.g., Docker, Podman, Kubernetes, Rancher, AWS ECS and EKS)
Experience with configuration management and infrastructure as code (e.g., Terraform, Helm, CloudFormation, Puppet, and Ansible)
Experience implementing enterprise MLOps infrastructure that enables validation, deployment, fallback, multi-model routing, load balancing, quota management, inference metrics, and provider abstraction (leveraging technologies such as AWS Bedrock, JFrog Artifactory, and LiteLLM)
Experience with continuous integration tools (e.g., Jenkins, Gitlab CI/CD, AWS CodeBuild, CodeDeploy, Spinnaker)
Expertise in architecting, deploying, and maintaining scalable solutions within cloud environments (e.g., AWS, GCP, Azure)
Experience with secrets management and data protection (e.g., HashiCorp Vault)
Proficient in one or more languages such as Python, Java, Scala, Go, Rust, or Ruby

Bonus Qualifications

Experience within a Film Production environment
Experience in web server administration
Knowledge of securing MLOps deployments through implementing LLM and MCP gateways and security scanning (e.g., JFrog Xray)
Knowledge of with setting up and maintaining cloud/on-prem runtime environments for AI agents (e.g., AWS Bedrock AgentCore, Google Vertex AI Agent Engine, Temporal)
Knowledge of provisioning, monitoring, and maintaining GPU infrastructure (e.g., NVIDIA GPUs, CUDA, cuDNN, NVML), including GPU virtualization and partitioning (e.g., NVIDIA MIG), and optimizing utilization for inference workloads
Knowledge of with model serving and inference frameworks (e.g., vLLM, SGLang, Ray Serve, Ollama / llama.cpp) with foundational knowledge of how LLMs are loaded and executed

The Walt Disney Company is an Equal Opportunity Employer.

Disclaimer

PAY TRANSPARENCY

The hiring range for this position in British Columbia, Canada is C$120,700 to C$161,800 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A full range of medical, financial, and/or other variable pay or benefits, may be offered dependent on the level and position offered.

This position is with Walt Disney Pictures, which is part of a business we call Walt Disney Animation Studios.

To learn more about Disney's guidelines on the use of AI for candidates, click here.

Having technical issues? View the FAQs for help.

Apply About employer

More about this job

Responsibilities

Design, deploy, and operate reliable on-premises and cloud infrastructure, including AI and machine-learning platforms, using automation, observability, and reliability engineering practices. Partner with studio stakeholders to develop platform solutions, improve service visibility and incident response, and evaluate and operationalize emerging technologies.

Requirements

Requires a bachelor's degree in a relevant field or equivalent experience, at least five years in SRE, DevOps, technical operations, systems engineering, software engineering, or a related discipline, and expertise in distributed systems, networking, Linux, and cloud environments. Candidates should have experience with observability, containers and orchestration, infrastructure as code, CI/CD, enterprise MLOps, secrets management, and at least one programming language.

Skills

Site Reliability Engineering
Linux Administration
Distributed Systems
Networking
Cloud Infrastructure
Infrastructure As Code
Kubernetes
Docker
MLOps
Observability
Monitoring
CI/CD
Terraform
Python
Security Automation
Capacity Planning

Visa sponsorship

Not detected in the job text

Keywords

Site Reliability Engineering
DevOps
Distributed Systems
Linux
Networking
Hardware Architecture
Capacity Planning
Datadog
Prometheus
Grafana
Docker
Podman
Kubernetes
Rancher
AWS ECS
AWS EKS
Terraform
Helm
CloudFormation
Puppet
Ansible
MLOps
AWS Bedrock
JFrog Artifactory
LiteLLM
Jenkins
GitLab CI/CD
HashiCorp Vault
Python
Go

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