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Added 5 mins ago
A
IP Design Intern
Altera
Toronto, ON
- Full-time
3+ months of experience in scripting languages and/or software programming (e.g. Python/TCL/Perl and/or C/C++)
Added 20 mins ago
C
DevOps Consultant, Application Development
CIBC
Toronto, ON
- Full-time
…deployment systems. Define, build code (Golang, Java, NodeJS, C++, JBoss EAP), create artifacts/docker images and deploy to Azure DevOps / RedHat OpenShift / Linux Environment. Develop…
Added 20 mins ago
AA
Store Driver
Advance Auto Parts
Hamilton, ON
- $17.95 to $18.85 CAD / hour
- Part-time
Build and maintain relationships with MainStreet and National Pro customers while providing the CPP with insights learned while making deliveries
Added 20 mins ago
GM
Staff Software Test Engineering - ADAS Infrastructure Compliance
General Motors
Markham, ON
- Full-time
Added 20 mins ago
Software Engineer 3, Identity and Access Management
MongoDB
Toronto, ON
…workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more…
Added 20 mins ago
MR
Robot Programmer
Montreal Robot Inc.
Montreal, QC
- Full-time
Familiarity with programming & coding (e.g., Python, C++, RoboDK).
Added 49 mins ago
CP
Senior Technical Designer
CD PROJEKT RED
Canada
- Full-time
Experience writing C++ in Unreal Engine 4 or 5 in a responsible manner.
Added 49 mins ago
Software Engineer - New Grad (2027 Start)
Databricks
Vancouver, BC
You have implementation skills with a general purpose program language, such as Python, Java, or C++
Added 50 mins ago
SS
Intermediate Vision Integrator
Samuel, Son & Co.
Waterloo, ON
- Full-time
- Proficiency in programming languages such as C++, C#, VB.NET, JavaScript, HTML, and CSS.
Added 1 hour ago
HR
Senior Software Engineer – Drone Control & Simulation (Defense and Dual-Use)
Haply Robotics
Montreal, QC
- Full-time
We’re looking for a Senior Software Engineer to be the first dedicated developer behind how operators fly, train, and feel drones through haptics.
Added 1 hour ago
SS
Intermediate Vision Integrator
Samuel, Son & Co.
Waterloo, ON
- Full-time
Proficiency in programming languages such as C++, C#, VB.NET, JavaScript, HTML, and CSS.
Added 1 hour ago
UO
Bioinformatics Specialist
University of British Columbia
Vancouver, BC · PHSA | BC Children's Hospital Research Institute - North Block (BCRI CMMT) (BCHRIN)
- $8,810.92 to $13,202.5 CAD / month
- Full-time
Added 2 hours ago
Audio Software Engineer - EA SPORTS™ NHL
Electronic Arts
Vancouver, BC · Victoria, BC
Leverage and extend the Frostbite audio toolset to enhance audio authoring workflows and developer efficiency.
Added 3 hours ago
MS
Localization and QA Automation Developer Co-Op
Motorola Solutions
Vancouver, BC
- Full-time
Knowledge of Python, Bash, HTML/CSS/JavaScript, React/TypeScript, C++, MySQL and proficiency with automated testing frameworks such as Playwright and Selenium
Added 3 hours ago
Software Engineer UI (Star Wars Jedi)
Electronic Arts
Vancouver, BC
Join us for the opportunity to create groundbreaking games with some of the best developer talent in the industry.
Added 4 hours ago
CI
Associate, Investment Engineering & Analytics (12-month contract)
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
Joining CPP Investments means joining one of the world’s most admired and respected institutional investors to drive a single mandate: to deliver strong, sustainable returns for generations…
Added 6 hours ago
GT
Control Systems Engineer
GeoSpectrum Technologies, Inc
Port Coquitlam, BC
- Full-time
Added 6 hours ago
GT
Senior Software Developer
GeoSpectrum Technologies, Inc
Dartmouth, NS
- Full-time
GeoSpectrum is growing and has a new career opportunity for an experienced Senior Software Developer.
Added 6 hours ago
S
Enterprise Architect – AI, Data & Cloud
Synechron
Mississauga, ON
- $180,000 to $200,000 CAD / year
- Full-time
Added 6 hours ago
AC
Senior Software Developer (industrial automation)
ALTEN Canada
Woodbridge, ON
- $80,000 to $100,000 CAD / year
- Full-time
The Senior Software Developer will contribute to the development of machine-control software for custom industrial automation systems. The role focuses on PC-based control systems rather…
Added 6 hours ago
Test Engineering, Software Designer
L3Harris Technologies
ON · Waterdown, ON
Familiarity Understanding of C++ and Embedded applications
Added 6 hours ago
SI
Software Developer
Spait Infotech
Canada
- Full-time
Knowledge of at least one programming language: Java, Python, C++, C#, or JavaScript.
Added 6 hours ago
MT
Application Engineer
Modern Technical Staffing Inc.
Toronto, ON · Greater Toronto Area, Canada
- $90,000 to $110,000 CAD / year
- Full-time
Proficiency with C++ programming language, C# is an asset
Added 7 hours ago
Software Developer
Octasic
Montreal, QC
We’re looking for a curious, adaptable early-career developer to help build and test software that connects embedded systems, back-end services, and user-facing applications. No prior…
Added 8 hours ago
TS
Sr Software Engineering Lead/ Architect
TalentSphere Staffing Solutions
Toronto, ON · North York, ON
- Full-time
Strong hands-on development experience with C#, C++, WPF, MVC, and .NET.

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, 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

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