Jobs in Canada

25+ jobs

Group jobs by employerEmail me new jobs Save this search

Added 22 mins 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 22 mins ago
G
Deputy Quality Manager
GFT
Toronto, ON
- Full-time
Must possess a driver’s license to fulfill the essential functions of the position
Added 1 hour ago
K
Process Design Engineer/Analyst
Kinectrics
Toronto, ON
- Full-time
Added 2 hours ago
EC
Python Automation Engineer
Experis Canada
Montreal, QC
- Contract
We are looking for a Python Automation Engineer with 5–7 years of experience in Python development, Unix/Linux, Shell Scripting, SQL, and backend testing. The ideal candidate will have…
Added 2 hours ago
S
Staff Technical Support Engineer
Semtech
Richmond, BC · CAN - Richmond, BC
- Full-time
Added 2 hours ago
AE
Corporate Director, Mineral Resources
Agnico Eagle Mines Limited
Toronto, ON
- Full-time
Added 2 hours ago
A
Localization Software Engineer
Applicantz
Vancouver, BC
- $65 to $75 CAD / hour
- Contract
Top 3 Must haves:
Added 2 hours ago
WI
Hydraulic Modeling, Water Resources Engineer
WSP in Canada
Markham, ON
- Full-time
As an Intermediate/Senior Hydraulic Modeling Engineer within our Hydraulic Master Planning Team, you will lead complex infrastructure planning initiatives that support sustainable growth,…
Added 2 hours ago
S
Senior Full Stack .NET Developer
Squadric
Calgary, AB
- Contract
The position follows a hybrid model, requiring two days per week at one of our clients' offices in Vancouver, Calgary or Edmonton · Candidates must be able to work on-site at least two days per week at one of our clients' offices in Vancouver, Calgary, or Edmonton
Added 2 hours ago
KM
Senior Software Engineer
Kongsberg Maritime
Halifax, NS
- Full-time
The Halifax team will include senior software engineers, a quality engineer, and a product owner. You will work closely with MSIM colleagues and specialist teams in Norway and Bulgaria,…
Added 3 hours ago
A
Civil Designer
Actalent
Montreal, QC
- Contract
…phases. Working under the general direction of a Lead Civil Engineer, the Civil Designer exercises sound independent judgment in day-to-day design and drafting decisions, ensuring that…
Added 3 hours ago
HM
Test Analyst
Hossam Magdy And Partners
Canada
- Full-time
Career progression into Senior Test Analyst, QA Engineer, Automation Engineer, QA Lead, or QA Manager roles.
Added 3 hours ago
S
Senior Android Software Engineer
Semperis
Toronto, ON
- Full-time
We're looking for a Senior Android Software Engineer to own Ready1 Android end to end. You will be the in-house Android owner on a small mobile team - hands-on individual contributor, not a…
Added 3 hours ago
A
Civil Designer
Actalent
Calgary, AB
- Contract
…phases. Working under the general direction of a Lead Civil Engineer, the Civil Designer exercises sound independent judgment in day-to-day design and drafting decisions, ensuring that…
Added 3 hours ago
A
Civil Designer
Actalent
Mississauga, ON
- Contract
…phases. Working under the general direction of a Lead Civil Engineer, the Civil Designer exercises sound independent judgment in day-to-day design and drafting decisions, ensuring that…
Added 3 hours ago
A
Civil Designer
Actalent
Vancouver, BC
- Contract
…phases. Working under the general direction of a Lead Civil Engineer, the Civil Designer exercises sound independent judgment in day-to-day design and drafting decisions, ensuring that…
Added 3 hours ago
G
Deputy Quality Manager
GFT
Toronto, ON
- Full-time
Must possess a driver’s license to fulfill the essential functions of the position
Added 3 hours ago
WI
Hydraulic Modeling, Water Resources Engineer
WSP in Canada
Vaughan, ON
- Full-time
As an Intermediate/Senior Hydraulic Modeling Engineer within our Hydraulic Master Planning Team, you will lead complex infrastructure planning initiatives that support sustainable growth,…
Added 3 hours ago
A
Civil Engineer
Actalent
Calgary, AB
- $70 to $80 CAD / hour
- Contract
We are seeking a dedicated Civil Engineer to manage civil projects from inception to completion. The role involves handling projects in areas such as bulk earthworks, site drainage, mine…
Added 3 hours ago
EG
Roadway Segment Lead
Egis Group
Toronto, ON
- $150,000 to $200,000 CAD / year
- Full-time
Licensed Professional Engineer (P.Eng.) in Ontario.
Added 3 hours ago
AI
Senior Level 3 AI Engineer – Copilot, ChatGPT, Grok, Claude & Gemini
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Montreal, QC
- Full-time
We are seeking a Senior Level 3 AI Engineer to act as the first point of call for engineering issues across end user AI products - Microsoft Copilot, OpenAI ChatGPT, Anthropic Claude, Grok…
Added 3 hours ago
AI
Senior L3 AI Engineer
Apptoza Inc.
Montreal, QC
- Full-time
Senior Level 3 AI Engineer - Copilot / ChatGPT / Grok / Claude / Gemini
Added 4 hours ago
EI
Roadway Segment Lead
Egis in Canada
Toronto, ON
- $150,000 to $200,000 CAD / year
- Full-time
Licensed Professional Engineer (P.Eng.) in Ontario.
Added 4 hours ago
Responsable Technique - Automatisation Assurance Qualité / Quality Assurance Automation Technical Lead.
OPAL-RT
Montreal, QC
Added 4 hours ago
S
Software Engineer
Sysco
AB · Sysco Canada Inc.
- Full-time
…passion for programming. In this hands-on role, the Software Engineer will be working with Principal Software Engineers, Business Analysts, business stakeholders and project managers to…

Nutanix

DevOps Engineer - AI Gateway

Vancouver, BC, Canada

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

Apply on LinkedIn About employer

Applications open in a new tab.

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.

Apply on LinkedIn About employer

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

Report this job

Work requirements

Jobs in Canada