Jobs in Canada

Email me new jobs Save this search

Added 2 mins ago
EI
Intermediate Foundations Engineer
Egis in Canada
Hamilton, ON
- $80,000 to $115,000 CAD / year
- Full-time
The Intermediate Foundations Engineer is a geotechnical engineering role based in Hamilton, Ontario, supporting the delivery of major projects in Canada. The role supports geotechnical…
Added 2 mins ago
FR
Lead Software Engineer, Full-Stack Applications - AI Fluent
Fitch Ratings
Toronto, ON
- $180,000 to $220,000 CAD / year
- Full-time
…scalable systems; deep understanding of software architecture, design patterns, data structures, algorithms, and the ability to make architectural decisions and live with their…
Added 2 mins ago
Sr. Engineer, Mixed Signal ASIC Systems
SiTime Corporation
Ottawa, ON
As a Systems Engineer we are the first in line to work on brand new devices from Silicon Designers before they get into the hands of customers. The devices that SiTime Canada works on are…
Added 1 hour ago
Mechanical Designer
Hatch
Sudbury, ON
The Mechanical & Piping Group is a Hatch global practice providing Mechanical design expertise to a wide variety of Hatch's commodity-based business practices. Our capability spans through…
Added 1 hour ago
A
Senior Geotechnical Field Engineer
Arcadis
Vancouver, BC
- Full-time
Arcadis is looking for Senior Geotechnical Field Engineers to support the Senior Resident Engineer during Engineering Services During Construction on a variety of heavy civil,…
Added 1 hour ago
Airframe Design Repair Engineer (In-service)
Capgemini
Montreal, QC
Job Title - Airframe Design Repair Engineer (In-service)
Added 1 hour ago
S
Satellite Electrical Systems Engineer
Scalian
Montreal, QC
- Full-time
We are seeking a Satellite Electrical Systems Engineer to work on current and next‑generation remote sensing and communications satellites. The Electrical Systems Engineer will ensure all…
Added 1 hour ago
A
Senior Structural Field Engineer
Arcadis
Vancouver, BC
- Full-time
Arcadis is seeking a Senior Structural Field Engineer with at least 15 years of experience and an extensive structural design background to provide senior construction-phase engineering…
Added 1 hour ago
L
Lead Software Engineer (Bilingual, Montreal)
Lisplogics
Montreal, QC
- Full-time
Design, build and maintain the back-end systems behind our real-time optimization platforms
Added 1 hour ago
B
Lead Cloud Software Developer - (AWS / AI / Real Time Payment Systems)
BMO
Toronto, ON · BMOPLACE
- Full-time
…specifications, writing code and managing the preparation of design specifications. Supports system design, provides advice on security requirements and debugs business systems and service…
Added 2 hours ago
S
Satellite Electrical Systems Engineer
Scalian
Montreal, QC
- Full-time
We are seeking a Satellite Electrical Systems Engineer to work on current and next‑generation remote sensing and communications satellites. The Electrical Systems Engineer will ensure all…
Added 4 hours ago
FG
Lead Software Engineer, Full-Stack Applications - AI Fluent
Fitch Group
Toronto, ON
- $180,000 to $220,000 CAD / year
…scalable systems; deep understanding of software architecture, design patterns, data structures, algorithms, and the ability to make architectural decisions and live with their…
Added 5 hours ago
TS
Senior Bridge Design Engineer
TalentSphere Staffing Solutions
Ottawa, ON
- Full-time
Minimum of ten (10) years of experience in the design of bridges and other transportation structures.
Added 5 hours ago
TS
Structural Engineering Lead
TalentSphere Staffing Solutions
Calgary, AB
- Full-time
…Calgary. This is a rare opportunity for a senior structural engineer who is motivated by leadership, business development, and the challenge of building a team within a supportive and…
Added 7 hours ago
Solutions Engineering Lead, International Upmarket Customers
Toast
Toronto, ON
Engineer workarounds, and know when to hold the line. Design and document solutions to complex gaps, and judge when a workaround creates debt we'll pay for at go-live.
Added 7 hours ago
Senior Solutions Engineer
Toast
Toronto, ON
Engineer workarounds, and know when to hold the line. Design and document solutions to complex gaps, and judge when a workaround creates debt we'll pay for at go-live.
Added 8 hours ago
HB
Jr Python Developer - up to $150k CAD - Montreal
Hunter Bond
Montreal, QC
- Full-time
Solve Interesting Problems: Work on projects involving large datasets, automation, system design and platform optimisation.
Added 11 hours ago
N
Software Engineer - C++/Linux -AI Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
Architect, design, and develop horizontally scalable, containerized, fault-tolerant services on Kubernetes.
Added 11 hours ago
N
Software Engineer - C++/Linux -AI Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
Architect, design, and develop horizontally scalable, containerized, fault-tolerant services on Kubernetes.

Nutanix

Software Engineer - C++/Linux -AI Gateway

Vancouver, BC, Canada

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

Apply About employer

Applications open in a new tab.

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.

Apply About employer

More about this job

Responsibilities

Design and develop scalable, containerized, 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, review designs and code, and help guide technology choices and open-source contributions.

Requirements

Requires 2–5 years of product development experience, strong programming fundamentals, and professional C++ experience, along with hands-on experience in Linux, Kubernetes, Docker, and cloud-native technologies. Candidates should understand distributed systems, data center infrastructure, performance tuning, and CI/CD; a computer science bachelor's or master's degree or equivalent experience is expected, while ML and GPU experience are advantages.

Skills

C++
Kubernetes
Docker
Linux
Go
Python
Cloud-Native Technologies
CI/CD
Distributed Computing
System Performance Optimization
Observability
Data Structures And Algorithms
Operating System Internals
Virtualization
Machine Learning
GPU Hardware Accelerators

Benefits

RRSP With Employer 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
Company Wellness Days
Vacation

Visa sponsorship

Not detected in the job text

Keywords

C++
Kubernetes
Docker
Linux
Go
Python
AI Gateway
LLM Inference
Generative AI
Machine Learning
GPT
Cloud-Native
CI/CD Pipelines
Distributed Computing
Distributed Storage
Observability
Metrics
Low Latency
High Throughput
Fault-Tolerant Services
Containerization
Open Source
Data Center Design
Virtualization
Operating System Internals
Performance Monitoring
Compute, Storage, And Networking
TensorFlow
PyTorch
GPUs

Report this job