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Added 46 mins ago
BB
Coordonnateur(trice) de l’engagement communautaire – Community Engagement Coordinator
B'nai Brith Canada
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Prepare program spaces and coordinate the equipment, supplies and materials required for each activity.
Added 46 mins ago
SM
Medical Radiation Technologist (CT & X-Ray)
Stevenson Memorial Hospital
Alliston, ON
- Internship
Completion of a Basic Cardiac Life Support (BCLS) program.
Added 46 mins ago
SM
Medical Radiation Technologist (CT & X-Ray)
Stevenson Memorial Hospital
Alliston, ON
- Full-time
Completion of a Basic Cardiac Life Support (BCLS) program.
Added 46 mins ago
MC
Manager, Revenue Accounting & Reporting
Make-A-Wish Canada
Toronto, ON
- Full-time
Employee Wellness Program and other corporate discounts
Added 46 mins ago
SM
Medical Radiation Technologist (CT & X-Ray)
Stevenson Memorial Hospital
Alliston, ON
- Full-time
Completion of a Basic Cardiac Life Support (BCLS) program.
Added 46 mins ago
SM
Medical Radiation Technologist (CT & X-Ray)
Stevenson Memorial Hospital
Alliston, ON
- Internship
Completion of a Basic Cardiac Life Support (BCLS) program.
Added 46 mins ago
AE
Product Guide - Seasonal
Arc'teryx Equipment
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- Full-time
You prioritize your own development, personally and professionally, and celebrate the achievements of others. You recognize that we create a better world, together.
Added 46 mins ago
S
Produce - Clerk Department Second Produce
Sobeys
Elmsdale, NS
- Full-time
…banners, virtual healthcare and an Employee and Family Assistance Program, learning and development opportunities, parental leave top-up, and paid…
Added 46 mins ago
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Produce - Clerk Department Second Produce
Sobeys
Pictou, NS
- Full-time
…banners, virtual healthcare and an Employee and Family Assistance Program, learning and development opportunities, parental leave top-up, and paid…
Added 46 mins ago
ML
Sr. Health & Safety Manager
Maple Leaf Foods Inc
Mississauga, ON
- $122,000 to $172,000 CAD / year
- Full-time
Comprehensive tuition reimbursement program that supports continuous learning and development of our team members through investment in eligible degrees, diplomas, professional…
Added 46 mins ago
PJ
Personal Training Manager (Multi- Campus)
Prosserman JCC
Maple, ON
- $65,000 to $75,000 CAD / year
- Full-time
This senior leadership role focuses on driving revenue, expanding Personal Training services, strengthening client retention, and leading the recruitment, coaching, and development of…
Added 46 mins ago
CO
Human Resources Generalist
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Saint John, NB
- Full-time
Support learning and development initiatives, leadership development programs, and employee training activities.
Added 46 mins ago
SD
Specialist, Patient Care
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Mississauga, ON
- Full-time
…collaboratively with other Patient Care Specialists and a Case Manager/Field Case Manager for a designated territory, dependent on the program. The superior end-to-end support provided by…
Added 46 mins ago
CO
Growth Coordinator
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Saint John, NB
- Full-time
…growth outcomes for the City of Saint John. Housed within the Development and Community Services area of the City of Saint John and under the direct supervision of the Growth Manager, the…
Added 46 mins ago
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Impact - Senior Manager/Manager, Sustainability Reporting
Aritzia
Vancouver, BC
- Full-time
…practices for social and environmental impact. As the Senior Manager / Manager, Impact Reporting, you will support with informing and engaging our stakeholders through transparent and…
Added 46 mins ago
CG
Food Service Manager
Compass Group Canada
Fort McMurray, AB
- Full-time
Have strong management and leadership skills. Demonstrated ability to motivate and develop staff.
Added 46 mins ago
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Technical Project Manager - AI
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- $70 to $90 CAD / hour
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A top-tier financial institution is seeking an accomplished Senior Technical Project Manager to orchestrate high-impact technology initiatives across enterprise data platforms, financial…
Added 46 mins ago
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Private Banker
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Mississauga, ON
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…Advisor/Counsellor for long-term investment advice, or a Commercial Account Manager for a business…
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General Duty Nurse (N2) - Child Health - JL3 Pediatric ICU
Winnipeg Regional Health Authority
Winnipeg, MB
Under the general supervision of the Manager, Health Services, the Registered Nurse (RN) is responsible for providing professional registered nursing services for patients, including those…
Added 46 mins ago
TB
Medical Manager, Rare - Canada (Field)
The businesses of Merck KGaA, Darmstadt, Germany
Mississauga, ON
- Full-time
…working culture, presenting great opportunities for personal development and career advancement across the…
Added 46 mins ago
M
RQ11741 - Product Manager - Senior
Maarut
Toronto, ON
- Contract
across program, policy, service design, UX, business analysis, architecture,
Added 46 mins ago
RB
Relationship Manager, Business Market
Royal Bank of Canada
Ottawa, ON
- Full-time
Completion of the Associate Account Manager training program, or have previous experience as a small business owner, or in similar field
Added 1 hour ago
CC
Manager – Acute Care/Emergency
Canadian College of Health Leaders - Northwestern Ontario Chapter
Rocky Mountain House, AB
- Full-time
Alberta Health Services (AHS) has an exciting opportunity for a Manager – Acute Care/Emergency at the Rocky Mountain House Health Centre to assist in the management of its Acute Care and…
Added 1 hour ago
WI
Project Manager, Power Delivery (Data Centres)
WSP in Canada
Terrace, BC
- Full-time
As a Senior Project Manager with experience in Data Centres, you will bring expertise to support the planning, development and execution of projects including Data Centres or traditional…
Added 1 hour ago
WI
Project Manager, Power Delivery (Data Centres)
WSP in Canada
Terrace, BC
- Full-time
As a Senior Project Manager with experience in Data Centres, you will bring expertise to support the planning, development and execution of projects including Data Centres or traditional…

Nutanix

Software Engineer 2 - Kubernetes Backend and Platform Engineering

Vancouver, BC, Canada

$103,000 to $155,000 CAD / year · Full-time

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Job details

Pay: $103,000 to $155,000 CAD / year
Job type: Full-time
Apply by: Nov 28, 2026
Experience: Experience: Up to 3 years of software engineering experience, with at least 1 year focused on building scalable distributed systems, cloud platforms, and AI/ML infrastructure.
Posting language: English
Posted: Oct 29, 2026

Original job description

The Opportunity

At Nutanix, we are expanding the capabilities of the Nutanix Kubernetes Platform (NKP) to power the next generation of enterprise AI. This platform will serve as the foundation for AI/ML workloads, GPU infrastructure, and enterprise applications, delivering hyperscaler-like capabilities in on-prem and hybrid deployments.

As an Engineer on the NKP AI Platform team, you will be a key technical leader responsible for architecting, building, and scaling the infrastructure that allows enterprises to train, deploy, and manage mission critical modern and AI Applications effortlessly.

About The Role

This is a high-impact, hands-on engineering role. You will bridge the gap between underlying container orchestration and advanced AI/ML workloads. You will be tackling hard problems in large-scale distributed systems, evolving toward global control planes, GPU scheduling, ensuring our platform is resilient, secure, and highly performant. Drive the design of and cell-based architectures

About The Team

NKP is a complete, enterprise-grade, production-ready platform based on Kubernetes that serves modern applications. By taking the best of the Cloud Native Computing Foundation (CNCF) ecosystem, but providing it in an integrated and lifecycle-managed package, NKP delivers all the functionality necessary in production with a dramatically lowered TCO. NKP provides simplified Kubernetes operations, seamless application mobility, and integrated security and compliance. Platform engineers and IT admins can use NKP to keep all cloud native resources up-to-date with upgrades, patching, maintenance, and security. The technology and community in this industry are growing fast, new applications and solutions are coming to the market every day, new standards are becoming mature at full speed.

You will report to the Senior Engineering Manager, who adopts a collaborative leadership style that encourages team involvement in decision-making and values open discussions. The manager emphasizes the importance of strong communication and problem-solving skills, aiming to build a supportive environment for both personal and professional development.

This role does not require any travel, allowing the new hire to focus on their responsibilities within the local team while also collaborating effectively with their US counterparts through virtual meetings and communication tools.

What You Will Do (Responsibilities)

Extend Kubernetes for AI: Develop Kubernetes Custom Resource Definitions (CRDs), Operators, and Controllers in Golang to natively orchestrate AI workloads.
Optimize GPU & Hardware Utilization: Build scheduling intelligence for AI-native infrastructure, including GPU-aware scheduling, resource isolation, and workload orchestration
Integrate the MLOps Ecosystem: Seamlessly integrate and manage the lifecycle of leading open-source AI tools like Kubeflow, KServe, Ray, vLLM, and Triton Inference Server within the NKP stack.
Cross-Functional Collaboration: Collaborate effectively with team members and partner closely with Product Managers, the core NKP k8s, and Nutanix Data Services (NDK) to ensure seamless data gravity and persistent storage for AI workloads.

What You Will Bring (Requirements)

Experience: Up to 3 years of software engineering experience, with at least 1 year focused on building scalable distributed systems, cloud platforms, and AI/ML infrastructure.
Language Proficiency: Deep expertise in Golang (for K8s ecosystem) and Python (for ML ecosystem).
Kubernetes Mastery: Experience with Kubernetes internals, building K8s Operators, Controllers, and working with the Cluster API (CAPI).
AI/ML Infrastructure Knowledge: Deep knowledge of MLOps frameworks and distributed AI computing (e.g., Kubeflow, Ray, KServe, PyTorch DDP) and GPU utilization/optimization
Systems Engineering: Strong understanding of Linux internals, networking, and container runtimes (containerd, Docker).
Effective Communication and Collaboration: Strong communication skills, collaborative mindset, and desire and ability to learn fast.
Education: Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field (or equivalent practical experience).

Nice To Haves

Contributions to CNCF projects (Kubernetes, Helm, Istio) or AI open-source projects (vLLM, Ray, Kubeflow).
Hands-on experience with deploying AI Agents and GPU scheduling
Familiarity with vector databases (Milvus, Qdrant, PGVector) and RAG (Retrieval-Augmented Generation) architectures. Experience with advanced observability stacks (Prometheus, Grafana, OpenTelemetry) tailored for AI metrics (e.g., tracking GPU utilization, token generation rates, model drift).
Track record of designing intuitive, developer-friendly APIs and scalable microservices architectures.

#NKP

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

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

The pay range for this position at commencement of employment is expected to be between CAD $103,000 and CAD $155,000 per annual. However, base pay offered may vary depending on multiple individualized factors, including market location, job-related kno wledge, 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

Develop Kubernetes extensions, including CRDs, Operators, and Controllers, to orchestrate AI workloads, and build GPU-aware scheduling and resource-isolation capabilities. Integrate AI/ML tools into the Nutanix Kubernetes Platform and collaborate with product, Kubernetes, and data-services teams to support persistent storage and AI workloads.

Requirements

Requires up to 3 years of software engineering experience, including at least 1 year in scalable distributed systems, cloud platforms, or AI/ML infrastructure, with strong Golang and Python skills. Candidates should have Kubernetes internals and Operator experience, knowledge of AI/ML infrastructure and GPU optimization, Linux, networking, and container runtimes, plus a relevant bachelor's or master's degree or equivalent practical experience.

Skills

Golang
Python
Kubernetes
Cluster API
Distributed Systems
AI/ML Infrastructure
GPU Scheduling And Optimization
MLOps
Linux Internals
Networking
Container Runtimes
Microservices Architecture
Observability
Communication
Cross-Functional Collaboration

Benefits

RRSP Matching Up To 7%
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 Kubernetes Platform
Kubernetes
Golang
Python
Custom Resource Definitions
Kubernetes Operators
Kubernetes Controllers
Cluster API
Distributed Systems
Cloud Platforms
AI/ML Infrastructure
GPU Scheduling
GPU Optimization
Resource Isolation
MLOps
Kubeflow
KServe
Ray
vLLM
Triton Inference Server
PyTorch DDP
Linux Internals
Networking
containerd
Docker
Persistent Storage
Prometheus
Grafana
OpenTelemetry
Retrieval-Augmented Generation

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