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Added 1 hour ago
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Manager, Global Practice and Delivery (Solutions & Services)
Acceldata
Kitchener, ON · Toronto, ON
- Full-time
…realize measurable value from Acceldata's data management and observability…
Added 1 hour ago
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Software Engineer 4 - Kubernetes AI Platform Engineering
Nutanix
Vancouver, BC
- $151,000 to $227,000 CAD / year
- Full-time
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,…
Added 3 hours ago
UW
Applied AI Engineer (Contract)
Upstream Works Software
Canada
- Contract
Upstream Works Software is hiring a contract Applied AI Engineer to contribute to the setup of our agentic AI evaluation and demo environment on Amazon Bedrock AgentCore.
Added 6 hours ago
SA
Sr Network Engineer
S&S Activewear
Burlington, ON
- Full-time
Establish network observability through monitoring, alerting, logging, telemetry, and operational automation to improve availability and reduce mean time to resolution.
Added 9 hours ago
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IT - Specialty Developer - Senior
Raise
Toronto, ON
- Full-time
DevOps Engineer responsible for DevOps engineering across Azure DevOps and GitHub Enterprise, including leadership of ADO to GHE migration initiatives. Serves as SME for deploying Azure…
Added 10 hours ago
O
Manager, Software Development
OpenText
Richmond Hill, ON
- Full-time
…manager partners with Product Management and the Principal Engineer to translate strategy into executable plans while establishing an inclusive, accountable, and high-performing engineering…
Added 10 hours ago
TI
Performance Engineer
Themesoft Inc.
Toronto, ON
- Contract
Experience with Chaos Engineering & Observability is nice to have to transition towards an SRE role
Added 10 hours ago
TI
Performance Engineer
Themesoft Inc.
Toronto, ON
- Contract
Experience with Chaos Engineering & Observability is nice to have to transition towards an SRE role
Added 10 hours ago
TI
Performance Engineer
Themesoft Inc.
Toronto, ON
- Contract
Experience with Chaos Engineering & Observability is nice to have to transition towards an SRE role
Added 10 hours ago
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DevOps Engineer (Services Team)
StackAdapt
Canada
- Full-time
The Engineering Operations team builds and operates the infrastructure, observability, and automation systems that power our engineering environment. This role joins the Services team, a…
Added 11 hours ago
2I
Senior DevOps/Cloud Engineer
2iSolutions Inc.
Toronto, ON
- Contract
Our Toronto-based client is hiring a DevOps/Cloud Engineer – Senior for a 4-month hybrid contract opportunity in Toronto, ON. The resource must be available to work onsite at the hiring…
Added 11 hours ago
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DevOps Engineer
TechDoQuest
Calgary, AB
- Contract
A hands-on DevOps Engineer to support application modernization, Kubernetes adoption, and CI/CD automation. The role will focus on migrating applications from Pivotal Cloud Foundry (PCF) to…
Added 12 hours ago
E
Data Engineer
eBay
Toronto, ON
- Full-time
We are looking for a talented and passionate Data Engineer to join our team and help build scalable, reliable data solutions that power critical experiences across eBay.
Added 12 hours ago
B
DevOPS/Cloud Engineer – Senior (AWS CDK/Public Sector exp)
Bevertec
Toronto, ON
- Contract
Job Role: DevOPS/Cloud Engineer – Senior (AWS CDK/Public Sector exp)
Added 14 hours ago
TC
DevOps Engineer
TMC Canada
Montreal, QC
- Full-time
Collaborate with the Data Discovery Squad and broader Technology stakeholders to enhance services through automation, scripting, and effective observability solutions.
Added 14 hours ago
C
AVP Applications Development Sr Programmer Analyst
Citi
Mississauga, ON
- Full-time
Build distributed microservices that power critical financial systems as a Senior Software Engineer, Java Microservices at Citi. You will design, develop, and implement scalable backend…
Added 14 hours ago
HB
Site Reliability Engineer – Elite Quant - Up to $200,000 CAD Starting base + Exceptional benefits/bonus package Fund
Hunter Bond
Montreal, QC
- Full-time
My client - one of the world's leading quantitative trading firms - is hiring a Platform Engineer / Site Reliability Engineer (SRE) to design, build, and maintain highly scalable, resilient…
Added 14 hours ago
T
Data Engineer
TimePlay
Toronto, ON
- Full-time
As a Software Engineer working on our data platform, you’ll design, build and operate the data systems that support our products, analytics, and internal teams.
Added 14 hours ago
ST
DevOps Engineer - Senior
Soroc Technology
Toronto, ON
- Contract
Develop and maintain monitoring and observability solutions, including logging, metrics, tracing, alerting, and performance dashboards.
Added 14 hours ago
F
Engineering Manager, AI
Felix
Remote, Canada
- $190,000 to $240,000 CAD / year
- Full-time
- Remote
Own the operational side of running AI in production: model upgrades, cost and latency tradeoffs, and the observability to catch degradation before patients do
Added 15 hours ago
S
Staff Security Engineer
Snaplii
Toronto, ON · Etobicoke, ON
- Full-time
Added 15 hours ago
RA
Staff Android Engineer, Mobile Platform
Rivian and Volkswagen Group Technologies
Remote, Canada
- $137,300 to $181,890 CAD / year
- Full-time
- Remote
As a Staff Android Engineer you will be the technical leader for the Android platform across our products. You will set its architecture, own its high-risk surfaces (concurrency,…
Added 15 hours ago
D
Software Engineer - Platform Engineering
Deloitte
Toronto, ON
- Full-time
We’re looking for a Software Engineer to design, build, and support scalable applications, platform services,
Added 16 hours ago
D
Lead Python + AI
Digitive
Canada
- Contract
We are looking for a Lead Python AI Engineer to build robust, AI-powered API services and agentic workflows. In this role, you will bridge the gap between traditional backend systems and…
Added 16 hours ago
C
Senior Customer Engineer, Digital Native - Vancouver BC
Cloudflare
BC · British Columbia, Canada
- Full-time
The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap…

Nutanix

Software Engineer 4 - Kubernetes AI Platform Engineering

Vancouver, BC, Canada

$151,000 to $227,000 CAD / year · Full-time

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Job details

Pay: $151,000 to $227,000 CAD / year
Job type: Full-time
Apply by: Nov 28, 2026
Experience: Experience: 6-8 years of software engineering experience, with at least 3+ years focused on building scalable distributed systems, cloud platforms, or 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.
Technical Leadership & Mentorship: Act as a force multiplier for the team. Drive architectural reviews, establish coding standards, and mentor junior and mid-level engineers.
Cross-Functional Collaboration: 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: 6-8 years of software engineering experience, with at least 3+ years focused on building scalable distributed systems, cloud platforms, or AI/ML infrastructure. Language Proficiency: Deep expertise in Golang (for K8s ecosystem) and Python (for ML ecosystem).
Kubernetes Mastery: Extensive experience with Kubernetes internals, building K8s Operators, Controllers, and working with the Cluster API (CAPI).
AI/ML Infrastructure Knowledge: Hands-on experience with MLOps frameworks and distributed AI computing (e.g., Kubeflow, Ray, KServe, PyTorch DDP).
Systems Engineering: Strong understanding of Linux internals, networking, and container runtimes (containerd, Docker).
API & Platform Design: Proven track record of designing intuitive, developer-friendly APIs and scalable microservices architectures.
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).
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).

#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 $151,000 and CAD $227,000 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

Build and scale Kubernetes platform capabilities for enterprise AI workloads, including custom resources, operators, controllers, GPU-aware scheduling, and integrations with AI/ML tools. Lead technical design and reviews, mentor engineers, and collaborate across product, Kubernetes, and data services teams to support secure, performant workloads with persistent storage.

Requirements

Requires 6–8 years of software engineering experience, including at least 3 years building distributed systems, cloud platforms, or AI/ML infrastructure, with strong Golang, Python, and Kubernetes expertise. Candidates should have hands-on experience with AI/ML frameworks and distributed computing, systems engineering fundamentals, and platform/API design; a relevant bachelor's or master's degree or equivalent practical experience is required.

Skills

Golang
Python
Kubernetes
Cluster API
Distributed Systems
AI/ML Infrastructure
GPU Scheduling
MLOps
Linux Internals
Networking
Container Runtimes
Microservices Architecture
API Design
Technical Leadership
Mentoring

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
Wellness Days
Vacation Starting At 10 Days

Visa sponsorship

Not detected in the job text

Keywords

Nutanix Kubernetes Platform
Kubernetes
Golang
Python
Operators
Controllers
Cluster API
Distributed Systems
AI/ML Infrastructure
GPU Scheduling
Resource Isolation
Kubeflow
KServe
Ray
vLLM
Triton Inference Server
PyTorch DDP
Linux Internals
Networking
Containerd
Docker
Microservices
CNCF
Helm
Istio
Vector Databases
RAG
Prometheus
Grafana

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