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Added 49 mins ago
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Software Engineer - Model Performance Systems
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
…applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing…
Added 50 mins ago
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Software Engineer - Model Performance Systems
Baseten
Toronto, ON
- $165,000 to $330,000 USD / year
- Full-time
…applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing…
Added 1 hour ago
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Application Programmer
Collabera
Mississauga, ON
- $70 to $80 USD / hour
- Full-time
We are seeking an experienced Senior Forward Deployed Engineer (FDE) with strong expertise in Java, Python, backend/full-stack development, and solution architecture. The ideal candidate…
Added 4 hours ago
TC
M365 (Microsoft) – Tech Lead
Tata Consultancy Services
Vancouver, BC
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 4 hours ago
TC
Technical Business Analyst
Tata Consultancy Services
Montreal, QC
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 4 hours ago
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Senior Full Stack Developer – FHIR, Java, Node.js, AWS & Healthcare Integration
ThoughtStorm
Toronto, ON
- Contract
Hiring: Senior Full Stack Developer – FHIR & Healthcare Integration
Added 4 hours ago
SF
Senior AI Engineer
Safe Fleet
Coquitlam, BC
- Full-time
We are looking for a hands-on Senior AI Engineer to build the platform that makes that possible - the shared services, agent framework, standards and tooling that allow every engineer on…
Added 4 hours ago
LM
Senior Software Engineer - Product Lead - ISS Team
Lockheed Martin
Ottawa, ON
- $102,750 to $134,750 USD / year
- Full-time
Proven Full-Stack development experience throughout the software engineering processes from planning, design, development to deployment.
Added 4 hours ago
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Senior Software Developer
Cavtera
Ottawa, ON · Kanata, ON
- Full-time
We’re looking for a Senior Software Developer to join Cavtera’s growing development team.
Added 4 hours ago
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Senior Full-Stack Engineer / Technical Lead - Onsite
Cognizant
Toronto, ON
- Full-time
We are looking for an experienced Senior Full-Stack Engineer / Technical Lead to design and develop scalable enterprise applications and cloud-native solutions. The ideal candidate will…
Added 4 hours ago
MI
FHIR Integration Engineer/Full Stack Engineer (Healthcare) 7+ years of experience
Maarut Inc
Toronto, ON
- Contract
Senior-level experience developing Java and Node.js services, REST APIs, FHIR integrations, event publishers and consumers, and production application logic.
Added 4 hours ago
LM
Senior Software Engineer - Product Lead
Lockheed Martin
Ottawa, ON
- Full-time
Proven Full-Stack development experience throughout the software engineering processes from planing, design, development to deployment.
Added 4 hours ago
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Software Engineer 2 - Kubernetes Backend and Platform Engineering
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
…the market every day, new standards are becoming mature at full…
Added 5 hours ago
SC
AI Enablement Specialist
Smart Circle International
Richmond Hill, ON
- $90,000 to $100,000 USD / year
- Full-time
Job Details: Job Location: Toronto Office - Richmond Hill, ON, Position Type: Full Time, Education Level: 4 Year Degree, Salary Range: $90000.00 - $100000.00Salary/year, Job Category: IT…
Added 5 hours ago
M
Senior Software Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
We are looking for a Senior Software Engineer to join our Affinity Life technology team. In this hands-on role, you will design, develop, modernize, and support mission-critical enterprise…
Added 6 hours ago
IG
Lead Full Stack Developer
Insight Global
Toronto, ON
- $50 to $70 CAD / hour
- Contract
Insight Global is seeking a hands-on Lead Full Stack Developer to support a major KYC transformation initiative within a large banking environment. This role will focus on both modernizing…
Added 7 hours ago
C
Full Stack Senior Engineering Lead - Inventory Orchestration
Citi
Mississauga, ON
- Full-time
A Full Stack Senior Engineering Lead - Inventory Orchestration is a senior-level position responsible for leading the solutioning, design, and implementation of microservice-based…
Added 7 hours ago
IF
Senior Full stack AI Developer (Python & Angular/React)
Intact FC
Toronto, ON · Montreal, QC
- Full-time
We’re looking for a Senior Full stack AI Developer (Python & Angular/React) to join our growing team!
Added 8 hours ago
V
Staff Software Developer, Simulation / Développeur(se) logiciel principal(e), Simulation
Vention
Montreal, QC
- Full-time
In this role, you will own the architecture of the simulation platform in Vention’s web-first technology stack. The platform uses MuJoCo as its physics engine. Your focus is how we…
Added 8 hours ago
Senior, Cloud Engineering
Scotiabank
Toronto, ON
The Senior, Cloud Engineering role operates within the Cloud Platform Engineering team. This role specializes in Cloud Developer Experience (DevEx) Engineering, focusing on building tools,…
Added 8 hours ago
S
Senior Full-Stack Web Developer (C#/MS-SQL/Front-end) - Western Canada
Splashdot
Remote, Canada
- $110,000 to $140,000 CAD / year
- Full-time
- Remote
Senior Full-Stack Web Developer (C#/MS-SQL/Front-end) – Western Canada
Added 9 hours ago
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Manager, Machine Learning Engineering - Agent Factory (
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
Agent Factory is where Workday’s next chapter gets built. We’re forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and…
Added 9 hours ago
M
Senior Forward Deployed Specialist
McKesson
Mississauga, ON
- Full-time
Strong hands-on full-stack engineering and troubleshooting experience across modern web applications, APIs, data, AI services, identity, security, and cloud infrastructure.
Added 10 hours ago
Senior Data Scientist
Helcim Inc
Calgary, AB
…infrastructure, and resources of an established company. As a Senior Data Scientist, you will step into an environment primed for advanced data…
Added 11 hours ago
Senior SRE DHCP & DNS
Rogers Communications
Brampton, ON
We are seeking a Senior SRE DHCP & DNS for our Internet Protocol Network, Ops and Automation Team.

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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