Jobs in Canada

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Added 59 mins ago
GC
Audio Artist II - FC
Game Companies
Vancouver, BC
- Full-time
FC Audio team is looking for an experienced Audio Artist who can immediately contribute to audio development. You will oversee the audio-specific project(s) to create/maintain a quality…
Added 59 mins ago
PS
Travel Casual Healthcare Security Officer
Paladin Security Group Ltd
Guysborough, NS
- $20.5 CAD / hour
- Contract
…comprehensive benefits, and opportunities for sponsored professional development. If you are a dependable communicator who values community safety and wants a meaningful role with schedule…
Added 59 mins ago
GC
Concepteur.trice technique avancé.e / Advanced Technical Designer
Game Companies
Montreal, QC
- Full-time
Added 59 mins ago
HH
HR Specialist
Highbridge Human Capital
Bamfield, BC
- $75,000 to $85,000 CAD / year
- Full-time
Required to work in Anacla (Bamfield) Government Office 1 to 2 days per week
Added 59 mins ago
TF
Program Manager
Toronto Foundation for Student Success
Toronto, ON
- $85,000 to $90,000 CAD / year
- Full-time
Must have a valid driver’s license and access to a reliable vehicle for work
Added 59 mins ago
HH
HR Specialist
Highbridge Human Capital
Port Alberni, BC
- $75,000 to $85,000 CAD / year
- Full-time
Required to work in Anacla (Bamfield) Government Office 1 to 2 days per week
Added 59 mins ago
V
Shift Lead (Engineer)
Vale
Canada
- Full-time
The role is a permanent on site position, working a rotating 12-hour shift schedule
Added 59 mins ago
HH
HR Specialist
Highbridge Human Capital
Port Alberni, BC
- $75,000 to $85,000 CAD / year
- Full-time
Required to work in Anacla (Bamfield) Government Office 1 to 2 days per week
Added 59 mins ago
HH
HR Specialist
Highbridge Human Capital
Bamfield, BC
- $75,000 to $85,000 CAD / year
- Full-time
Required to work in Anacla (Bamfield) Government Office 1 to 2 days per week
Added 1 hour ago
GC
Online Programmer (Online Services - Player Identity)
Game Companies
Montreal, QC
- Full-time
Experience with React and modern web application development.
Added 1 hour ago
AI
AI SUPPORT ANALYST – GENERATIVE AI, M365 & TECHNICAL SUPPORT
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Montreal, QC
- Full-time
Good years of experience in a technical support, service desk, or application-support role in an enterprise environment.
Added 1 hour ago
UT
Senior Business Analyst #26-28952
US Tech Solutions
Toronto, ON
- Contract
Support application, integration, migration, SIT, and UAT testing activities.
Added 1 hour ago
CO
GIS Technician
City of Thorold
Thorold, ON
- Full-time
From the same category : planning & development
Added 1 hour ago
AI
Developer – .NET, C#, VB.NET & Crystal Reports
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Vancouver, BC
- Full-time
The person will be responsible for application development, enhancement, maintenance and production support for Corporate / Vendor applications. The role requires hands-on experience in…
Added 1 hour ago
YC
JEE Developer, senior
Yoush Consulting
Toronto, ON
- Full-time
….NET, VPN, PKI, LDAP, Oracle RDBMS (versions 19C+), PL/SQL, development and deployment tools (e.g. source codes and application packages management), GIT Hub, Jenkins, DevOps, Cloud…
Added 1 hour ago
F
Senior Account Executive, Merchant Acquisition
Flexiti
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Added 1 hour ago
QF
Principal Product Designer
Questrade Financial Group
Toronto, ON · East York, ON
- Full-time
Questrade Financial Group of companies Applicant Tracking System uses artificial intelligence (AI) for application screening. The AI system operates on predetermined criteria, with final…
Added 1 hour ago
BS
OnBase Administrator
Brainhunter Systems Ltd
ON · Ontario, Canada
- Contract
Work Style: Hybrid Work - 3 days per week in the office required (Tuesday and Thursday are mandatory)
Added 1 hour ago
C
Quality Intelligence Analyst - Guidewire Insurance Platforms
Cognizant
Toronto, ON
- Full-time
Assess configuration changes and application enhancements for potential quality risks and support regression validation efforts.
Added 1 hour ago
SI
Cloud Engineer
Spait Infotech
Canada
- Full-time
Collaborate with development teams to support application deployment.
Added 1 hour ago
S
Solutions Architect - DXP
Sobeys
Mississauga, ON
- Full-time
Must have hands-on code development & delivery experience in mobile apps and websites
Added 1 hour ago
C
Gen AI Architect (Hybrid)
Cognizant
Toronto, ON
- Full-time
…collaborate with business leaders, product teams, data engineers, application architects, platform engineers, and client stakeholders to accelerate AI adoption and business…
Added 1 hour ago
N
DevOps Engineer - AI Gateway
Nutanix
Vancouver, BC
- $132,000 to $198,000 CAD / year
- Full-time
Join Nutanix as a DevOps Engineer in Vancouver and build the infrastructure that powers development, testing, and performance engineering for the Nutanix AI (NAI) platform. You’ll build and…
Added 1 hour ago
C
Service Manager - The Rec Room Seasons of Tuxedo
Cineplex
Winnipeg, MB · Seasons of Tuxedo TRR
- Full-time
Delivering employee training and execute development strategies for area of responsibility (Bar, Service Floor, Host/Call Center, Amusement, and Groups & Events).
Added 1 hour ago
C
Associate, Client Relations - Bilingual
CIBC
Montreal, QC
- Full-time
Content development - Develop and enhance high-quality institutional client materials, including asset class presentations, market commentaries, and ad hoc deliverables, in partnership with…

Nutanix

DevOps Engineer - AI Gateway

Vancouver, BC, Canada

$132,000 to $198,000 CAD / year · Full-time

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Job details

Pay: $132,000 to $198,000 CAD / year
Job type: Full-time
Apply by: Nov 22, 2026
Experience: 3-6 years of experience designing, maintaining, and troubleshooting CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, or comparable tools.
Posting language: English
Posted: Oct 23, 2026

Original job description

The Opportunity

Join Nutanix as a DevOps Engineer in Vancouver and build the infrastructure that powers development, testing, and performance engineering for the Nutanix AI (NAI) platform. You’ll build and maintain CI/CD pipelines for software builds, testing, and releases. You’ll also deploy and operate bare-metal and cloud-based GPU infrastructure for AI inference, performance benchmarking, and product validation.

About The Team

The Nutanix AI - Infrastructure Engineering team operates the CI/CD systems, test environments, and GPU clusters that support the NAI platform. The team collaborates closely with software engineering, QA, and performance engineering teams to make environments reproducible, catch performance regressions, and improve release reliability.

In this hands-on role, you’ll work across the infrastructure stack, from server firmware, Linux, and GPU drivers to high-speed networking, storage, and Kubernetes. You’ll help keep our in-house GPU clusters reliable and provision capacity on public clouds and specialized GPU cloud platforms to validate deployments across hardware configurations.

Your Role

Extend and maintain CI/CD pipelines for automated builds, integration testing, performance regression testing, and production releases using Jenkins, GitHub Actions, GitLab CI, or comparable tools.
Build reproducible environments for functional, scalability, and hardware compatibility testing.
Automate test infrastructure provisioning, software deployment, test execution, and performance metrics collection.
Deploy and operate bare-metal GPU clusters for AI inference, benchmarking, and engineering development. Configure Linux, NVIDIA drivers, CUDA, container runtimes, networking, and storage.
Manage BMC, BIOS, GPU, and NIC firmware updates and keep firmware versions consistent across the server fleet. Validate NVLink and NVSwitch topologies and verify GPU-to-GPU bandwidth and health.
Tune cluster performance, GPU utilization, and workload placement across hardware configurations. Troubleshoot GPU availability, driver compatibility, PCIe and NVLink connectivity, networking, storage I/O, and distributed workload execution.
Implement monitoring, alerting, capacity planning, and preventive maintenance to improve cluster availability.
Provision and operate GPU infrastructure on public clouds and specialized GPU cloud platforms to support AI workloads and validate deployments.
Deploy and operate Kubernetes clusters across bare-metal, virtualized, and cloud environments.
Maintain Docker images, Helm charts, Kubernetes manifests, and automated deployment workflows.
Use Ansible, Terraform, Python, and Bash to automate provisioning, configuration management, upgrades, cluster lifecycle operations, and recovery.
Maintain version-controlled infrastructure configurations for on-premises and cloud environments, including AWS, Google Cloud, and Microsoft Azure.
Work with software engineering, QA, and performance engineering teams to shorten feedback cycles, improve test reliability, and strengthen release quality.

What You Will Bring

Strong proficiency in Python, Bash, or a similar scripting language, with experience building infrastructure automation and operational tools.
3-6 years of experience designing, maintaining, and troubleshooting CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, or comparable tools.
Strong Linux systems administration skills, including networking, storage, performance troubleshooting, and server lifecycle management.
Hands-on experience deploying containerized applications with Docker, Kubernetes, and Helm.
Experience deploying, maintaining, and troubleshooting development or production infrastructure in bare-metal, on-premises, or cloud environments.
Familiarity with provisioning and operating compute infrastructure on public clouds or specialized GPU cloud platforms.
Ability to independently investigate complex infrastructure failures, document findings clearly, and collaborate with software engineering and performance engineering teams.

Bonus Points If You Have Experience With

Building automated performance benchmarking harnesses using Locust, GuideLLM, or Playwright.
Deploying and operating bare-metal GPU servers or multi-node clusters with NVIDIA A100, H100, H200, B300, or similar accelerators.
Working with the NVIDIA GPU software stack, including drivers, CUDA, NVIDIA Container Toolkit, NVIDIA GPU Operator, DCGM-based monitoring, and Kubernetes GPU scheduling.
Operating infrastructure on specialized GPU cloud platforms such as CoreWeave, Lambda, Crusoe, or Nebius.
Configuring and troubleshooting high-performance networking technologies such as InfiniBand, RDMA, RoCE, and high-speed Ethernet.
Monitoring infrastructure with Prometheus, Grafana, or centralized logging systems.
Benchmarking inference throughput, latency, and scalability for AI workloads running on vLLM, TensorRT-LLM, Triton Inference Server, or PyTorch.
Working with distributed storage, high-performance storage, or GPU data pipelines using technologies such as NVMe, NFS, and object storage.

Learn More About the Technology: https://www.nutanixbible.com/

#NAI

Highlighted Benefits (Vancouver, Canada)

Retirement: RRSP with dollar-for-dollar matching up to 7% of base salary

Mental Health: Dedicated mental health coverage plus top-tier paramedical benefits

Family: Fully paid maternity and parental leave and generous bereavement leave, including time for the loss of a pet

Equity: RSUs and Employee Stock Purchase Plan at a 15% discount

Time Off: Company holidays, sick days, company wellness days, and vacation starting at 10 days

Work Arrangement Hybrid: This role operates in a hybrid capacity, blending the benefits of remote work with the advantages of in-person collaboration. In locations where our workplace policy applies (i.e. San Jose, Durham, Mexico City, Vancouver, Bangalore, Pune, Hoofddorp, Belgrade, Barcelona, Singapore, Sydney and Tokyo), employees are expected to work onsite a minimum of 3 days per week to foster collaboration, team alignment, and access to in-office resources. Workplace type may vary based on location and team requirements. Please speak with your recruiter for details. Additional team-specific guidance and norms will be provided by your manager.

Note: Nutanix does not assist with applications for work permits or permanent residence, including provincial nomination.

Pay Transparency - Role Location The pay range for this position at commencement of employment is expected to be between CAD $132,000 and CAD $198,000 per annual.

However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Our application deadline is 40 days from the date of posting. In good faith, the posting may be removed prior to this date if the position is filled or extended in good faith.

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More about this job

Responsibilities

Build and maintain CI/CD pipelines, reproducible test environments, and automated infrastructure workflows for the Nutanix AI platform. Deploy, operate, monitor, and troubleshoot bare-metal and cloud GPU clusters, Kubernetes environments, and supporting systems to improve performance testing and release reliability.

Requirements

Candidates should have strong Python or Bash automation skills, 3–6 years of experience maintaining and troubleshooting CI/CD pipelines, and strong Linux administration capabilities. They should also have hands-on experience with Docker, Kubernetes, Helm, and infrastructure in bare-metal, on-premises, or cloud environments, plus the ability to investigate complex failures and collaborate across engineering teams.

Skills

Python
Bash
CI/CD Pipelines
Linux Systems Administration
Docker
Kubernetes
Helm
GPU Infrastructure
NVIDIA CUDA And Drivers
Infrastructure Automation
Terraform
Ansible
Cloud Infrastructure
Performance Benchmarking
High-Performance Networking
Monitoring And Alerting

Benefits

RRSP Matching Up To 7% Of Base Salary
Mental Health Coverage
Paramedical Benefits
Paid Maternity And Parental Leave
Bereavement Leave
Restricted Stock Units
Employee Stock Purchase Plan
Company Holidays
Sick Days
Company Wellness Days
Vacation Starting At 10 Days

Visa sponsorship

Not detected in the job text

Keywords

Nutanix AI
CI/CD
Jenkins
GitHub Actions
GitLab CI
Python
Bash
Linux
Bare-Metal GPU Clusters
NVIDIA A100
NVIDIA H100
CUDA
NVIDIA GPU Operator
DCGM
Docker
Kubernetes
Helm
Ansible
Terraform
AWS
Google Cloud
Microsoft Azure
Prometheus
Grafana
InfiniBand
RDMA
RoCE
vLLM
TensorRT-LLM
Triton Inference Server

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Jobs in Canada