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Added 58 mins ago
S
Software Engineer Manager
symplistic.ai
Woodbridge, ON
- $150,000 CAD / year
- Full-time
We seek a hands-on Engineering Manager to lead ContentIQ's development, quality, delivery, and operation. You'll mentor engineers while actively coding, making architectural decisions, and…
Added 7 hours ago
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Software Engineer - C++/Linux -AI Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
You will report to a seasoned Technical Manager who will provide mentorship and guidance as you navigate through your responsibilities. The work setup at Nutanix AI is a hybrid model,…
Added 7 hours ago
N
Software Engineer - C++/Linux -AI Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
You will report to a seasoned Technical Manager who will provide mentorship and guidance as you navigate through your responsibilities. The work setup at Nutanix AI is a hybrid model,…
Added 8 hours ago
A
Software Development Manager, Integration ML Models
Autodesk
Toronto, ON
- Full-time
Background as an architect, engineer, BIM or computational design specialist, or direct experience with Revit, Forma, IFC, or similar AEC tools and data
Added 8 hours ago
A
Software Development Manager, Integration ML Models
Autodesk
Toronto, ON
- Full-time
Background as an architect, engineer, BIM or computational design specialist, or direct experience with Revit, Forma, IFC, or similar AEC tools and data
Added 13 hours ago
A
AI Architect, Manager
Avanade
Toronto, ON
- Full-time
…ONNX, Caffe, etc. preferred), Computer Vision and other Azure Data and AI…
Added 14 hours ago
S
Staff Software Engineer, Payments Intelligence
Stripe
Toronto, ON
- Full-time
As a Staff Engineer on Payment Intelligence, you’ll work across our product portfolio to ensure we’re building in a consistent, efficient, and effective manner. Experience with large,…
Added 3 days ago
AI Engineer
BMO
Toronto, ON · BMOPLACE
We are seeking an innovative AI Engineer to help drive the next generation of intelligent solutions across the enterprise. In this role, you will design, develop, deploy, and optimize…
Added 3 days ago
T
Google Big Data Platform Engineer II
TD
Toronto, ON
- Full-time
Manage cloud security controls, including GCP Secret Manager, PKI, data encryption, and VPC Service Controls
Added 4 days ago
S
Senior Full Stack Gen AI Engineer/Technical Engagement Manager
Straive
Calgary, AB
- Full-time
Straive is a global leader in enterprise-grade Data Analytics and AI solutions, committed to empowering businesses across various industries with cutting-edge technology and expert…
Added 4 days ago
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Senior Product Manager, Firm Intelligence Platform
Litera
Toronto, ON · Canada-Toronto, ON-Office
- Full-time
As a Senior Product Manager for the Firm Intelligence Platform, you’ll own the vision, strategy, and roadmap for the foundational layer that turns the data flowing through a law firm’s work…
Added 4 days ago
BC
Associate, DevOps Engineer
BMO Capital Markets
Toronto, ON
- Part-time
We are seeking an experienced DevOps Engineer to join our Data Cognition Team at BMO Capital Markets. In this role, you will design, build, and maintain robust DevOps pipelines and…
Added 4 days ago
Software Engineer III
Electronic Arts
Vancouver, BC
You will work with us to build automated testing frameworks and evaluation tools, applying AI and machine learning to expand our test coverage. You will report to our Engineering Manager.
Added 4 days ago
Associate, DevOps Engineer
BMO
Toronto, ON · FCP
We are seeking an experienced DevOps Engineer to join our Data Cognition Team at BMO Capital Markets. In this role, you will design, build, and maintain robust DevOps pipelines and…
Added 5 days ago
H
Data & ML Platform Engineer (Hybrid)
Homebase
Remote, Canada
- $110,000 to $160,000 CAD / year
- Full-time
- Remote
Every data and AI feature at Homebase runs on the platform you’ll help build. Our AI-powered product work is moving fast, and the platform underneath it has to move faster. You’ll be one of…
Added 5 days ago
M
Project Manager, Artificial Intelligence
Maarut
Montréal-Est, QC · Quebec city/Montreal, Quebec
- Contract
Data scientist or ML engineer profile with no demonstrated
Added 6 days ago
B
Senior AI Engineer for Observability
BMO
Toronto, ON · BMOPLACE
- Full-time
Solves complex problems with multi-layered data sets, extends existing ML frameworks and optimizes existing machine learning libraries.
Added 6 days ago
S
Backend / API Engineer, Radar
Stripe
Toronto, ON
- Full-time
As a software engineer on Radar, you’ll build products and infrastructure that help businesses understand and stop fraud and abuse. Your work will span backend services, enterprise APIs,…
Added 6 days ago
M
In-House Technical Recruiter
Mendable
Toronto, ON
- $160,000 to $179,000 USD / year
- Full-time
Firecrawl is the easiest way to turn the web into data AI agents can use. One API call converts any URL into clean, LLM-ready markdown or structured data. It’s the boring-hard problem…
Added 6 days ago
N
Software Engineer - C++/Linux - Envoy Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
You will report to a seasoned Technical Manager who will provide mentorship and guidance as you navigate through your responsibilities. The work setup at Nutanix AI is a hybrid model,…
Added 6 days ago
B
Senior Data Engineer
BMO
Toronto, ON · FCP
- Full-time
Engineer trusted and audit-ready data through reconciliation, effective-dating, lineage, entitlements, data-quality controls, and traceability across the data lifecycle.
Added 6 days ago
B
Data Engineer
BMO
Toronto, ON · FCP
- Full-time
Design, build, and support scalable data pipelines, models, and analytical data products that enable deeper business insights and data-driven decision-making. This role combines hands-on…
Added 6 days ago
F
In-House Technical Recruiter
Firecrawl
Toronto, ON
- $160,000 to $179,000 USD / year
- Full-time
Firecrawl is the easiest way to turn the web into data AI agents can use. One API call converts any URL into clean, LLM-ready markdown or structured data. It’s the boring-hard problem…
Added 7 days ago
PS
ML/NLP Engineer
PRESCRIRE Solutions
Montreal, QC
- Full-time
Model Training Pipeline: Create robust training pipelines using clinical data with expert validation loops.
Added 7 days ago
P
Senior Applied AI Developer
Plusgrade
Montreal, QC · CAN - Montreal
- Full-time
You will design, deploy, and scale low-latency ML and LLM recommendation pipelines that feed real-time predictive data into core travel applications. You will own the entire lifecycle of…

Nutanix

Software Engineer - C++/Linux -AI Gateway

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 26, 2026
Posting language: English
Posted: Oct 27, 2026

Original job description

Hungry, Humble, Honest, with Heart.

The Opportunity

When people talk about generative AI and other ML-powered solutions in today's conversation, they often refer to generative pre-trained transformers like ChatGPT that can respond to queries from a position of deep learning. A GPT-in-a-box solution removes the burden of building or implementing these AI solutions yourself. It also makes overcoming the complexity, inefficiency, and security challenges of generative AI and AI/ML applications easy. Nutanix simplifies your learning curve on AI-ready infrastructure with Nutanix Cloud Platform for AI (GPT-in-a-Box). This high-performant Machine Learning full-stack cloud platform helps you optimise IT costs with a software-defined cloud operating model. Harness AI-ready capabilities right out of the box, simplified to build, fine-tune, and run models, including GPTs and LLMs, while you continue to use existing teams and skills.

Join the Nutanix AI team, responsible for the magic behind the scenes.

About The Team

The Nutanix Enterprise AI team is responsible for strategic product areas including LLM Inference and the AI Gateway. We are at the forefront of Nutanix's mission to simplify AI deployment, recently showcasing our Agentic AI platform at NVIDIA GTC and NEXT 2026. This team is fast-paced, globally distributed, and focused on building the foundational layers of the AI stack.

You will report to a seasoned Technical Manager who will provide mentorship and guidance as you navigate through your responsibilities. The work setup at Nutanix AI is a hybrid model, offering a blend of in-office collaboration and remote work flexibility. As a new hire, you will be expected to be in the office for 3 days a week, ensuring that you have the opportunity to engage with your team and foster strong working relationships.

Your Role

Architect, design, and develop horizontally scalable, containerized, fault-tolerant services on Kubernetes.

Improve the performance of systems to deliver for low-latency and high-throughput use cases.

Optimize any part of the stack, including low-level systems.

Leverage and contribute to relevant open-source cloud native projects.

Develop scalable, efficient, and fault-tolerant observability architectures for collecting, analyzing, and reporting metrics for various platform services.

Collaborate closely with globally located product management and backend development teams to deliver high-quality products in a fast-paced environment.

Contribute to all stages of the product development cycle: technical design, development, test, experimentation, analysis, and launch.

Be a team player by reviewing code and design docs, giving feedback on product specs and mocks, and documentation.

Participate in an ongoing process definition and technology selection to ensure our technology stack is current with relevant trends.

Continuously learn and improve your technical and non-technical abilities.

What You Will Bring

2-5 years of experience developing maintainable, modular, resilient, fail-safe, and long-lasting code from a Product Development company.

Have strong programming fundamentals, data structures, and algorithms, with professional experience developing in C++.

Strong experience with Kubernetes, Docker, and cloud-native technologies, with hands-on experience working in Linux environments.

Experience building applications with C++, Go, or Python.

Experience building and managing CI/CD pipelines

Strong understanding of data center design, including computing, storage, and networking.

Familiarity with on-prem, cloud, and hybrid software deployment architectures

Good experience in designing and tuning high-performance system software

Strong understanding of distributed computing and storage architectures

Strong knowledge of OS internals, virtualization, application performance monitoring, compute storage, and networking management

Familiarity with machine learning concepts and popular frameworks (like TensorFlow, PyTorch, etc.) is a strong plus

Experience with hardware accelerators, such as GPUs, is a strong plus.

Experience working with large codebases or contributing to open source is a strong plus.

Experience in building multi-tenant services on a virtualized infrastructure is a solid plus.

Detail-oriented with a strong focus on quality, design, and user experience.

Inquisitive, highly motivated, self-starting problem solver with a drive to integrate, communicate, and work well on large projects and teams.

Track record of being reliable, responsible, and thorough.

Bachelor's/Master's in Computer Science or equivalent work experience

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 $103,000 and CAD $155,000 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

Design and develop scalable, fault-tolerant Kubernetes services, optimizing systems for low latency and high throughput while building observability capabilities. Contribute across the product lifecycle, collaborate with globally distributed teams, and participate in technical design, testing, code reviews, and technology selection.

Requirements

Requires 2–5 years of product development experience, strong programming fundamentals, and professional C++ experience, along with hands-on expertise in Linux, Kubernetes, Docker, and cloud-native technologies. Candidates should also have experience with CI/CD, high-performance systems, distributed architectures, and data center technologies; machine learning, GPUs, and open-source contributions are advantageous.

Skills

C++
Kubernetes
Docker
Linux
Go
Python
CI/CD
Cloud-Native Technologies
Distributed Computing
System Performance Optimization
Observability
Data Center Architecture
Virtualization
Machine Learning
GPU Acceleration
Open-Source Development

Benefits

RRSP Matching
Mental Health Coverage
Paramedical Benefits
Paid Maternity Leave
Paid Parental Leave
Bereavement Leave
Restricted Stock Units
Employee Stock Purchase Plan
Company Holidays
Sick Days
Wellness Days
Vacation

Visa sponsorship

Not detected in the job text

Keywords

C++
Kubernetes
Docker
Linux
Go
Python
CI/CD Pipelines
Cloud-Native Technologies
AI Gateway
LLM Inference
Generative AI
Machine Learning
GPT
Large Language Models
Nutanix Cloud Platform
Containerized Services
Fault-Tolerant Systems
Low-Latency Systems
High-Throughput Systems
Observability
Metrics
Distributed Computing
Distributed Storage
Data Center Design
Virtualization
Operating System Internals
Performance Monitoring
TensorFlow
PyTorch
GPU Acceleration

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