Jobs in Canada

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Added 16 days ago
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Salesforce Developer
Brunel
Quebec, QC
- $100,000 to $125,000 CAD / year
- Full-time
Brunel is seeking a Forward Deployed Engineer specializing in Salesforce Agentic AI to support the design, development, and deployment of production-ready AI solutions on the Salesforce…
Added 16 days ago
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AWS Cloud Engineer
KTek Resourcing
Toronto, ON · Greater Toronto Area, Canada
- Contract
We are seeking a Cloud Engineer with strong expertise in AWS and Azure cloud platforms to design, implement, maintain, and optimize cloud infrastructure. The ideal candidate will have…
Added 16 days ago
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Sr. Angular Front End Engineer - Azure DevOps/Banking
BeachHead
Toronto, ON
- Contract
Working with one of our top financial clients, this role calls for a Sr. Angular Front End Engineer- Azure DevOps/Banking to lead DevOps engineering across Azure DevOps and GitHub…
Added 16 days ago
LI
Cyber Security Engineer
LanceSoft, Inc.
Montreal, QC
- Contract
We’re seeking someone to join our Crypto team as Cybersecurity Engineer in Technology to implement and manage cryptographic infrastructure that secures the Firm’s most sensitive data and…
Added 16 days ago
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AEM Engineer
Experis Canada
Toronto, ON
- Contract
Work Model: Hybrid – 4 days in office, 1 day working from home
Added 16 days ago
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Staff Software Engineer
Magnet Forensics
Canada
- Full-time
NOTE: Candidates must reside in Canada
Added 16 days ago
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GenAI Prompt Engineer
Open Systems Technologies
Montreal, QC
- Contract
Knowledge of design patterns, system resiliency, observability, scalability and performance
Added 16 days ago
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AWS Cloud Architect
Ardent SoftSol Inc.
Mississauga, ON
- $50 to $55 CAD / hour
- Contract
Implement observability strategies including logging, tracing, and metrics.
Added 16 days ago
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AWS / API lead and Architect
J&M Group
Mississauga, ON
- Contract
Implement observability strategies including logging, tracing, and metrics.
Added 16 days ago
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Software Engineer Manager
symplistic.ai
Woodbridge, ON
- $150,000 CAD / year
- Full-time
…document processing, governance, permissions, integrations, and observability for accurate, grounded AI at scale. As a knowledge layer for IBM watsonx Orchestrate and other AI agents, it…
Added 16 days ago
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Software Engineer
Soho Square Solutions
Montreal, QC
- Contract
Exposure to OpenTelemetry or observability tools is a plus.
Added 16 days ago
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Bilingual Senior Integration Platform Engineer
Tech Talent International
Montreal, QC
- $130,000 to $140,000 CAD / year
- Full-time
Location: Hybrid - Montreal, QC -(2/3 days per week onsite)
Added 16 days ago
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Senior Full Stack Developer (Java/React)
Miratech
Toronto, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 16 days ago
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Senior Software Engineer - Market Data
Alpaca
Canada
- Full-time
As a senior software engineer, you will help build and scale the systems and services that form the foundation of Alpaca and empower millions of users who are trading billions of dollars…
Added 16 days ago
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Senior Full-Stack Java Developer (Front-Office / Capital Markets)
Rose International
Mississauga, ON
- Full-time
…Full-Stack Developer transitioning into a Forward Deployed Engineer-style, customer-facing delivery…
Added 16 days ago
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Software Engineer - C++/Linux -AI Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
Develop scalable, efficient, and fault-tolerant observability architectures for collecting, analyzing, and reporting metrics for various platform services.
Added 16 days ago
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Software Engineer - C++/Linux -AI Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
Develop scalable, efficient, and fault-tolerant observability architectures for collecting, analyzing, and reporting metrics for various platform services.
Added 16 days ago
RD
Kotlin Developer
Randstad Digital
Vancouver, BC
- $140,000 to $180,000 CAD / year
- Contract
We are seeking a Software Engineer to help build and maintain our finance integration platform. You will work in an established Kotlin codebase connecting retail, order-management, and…
Added 16 days ago
LI
Senior DevOPS/Engineer
Lotus IT Solutions
Toronto, ON
- Contract
This is a fully onsite role based at 222 Jarvis St, 5th Floor, Toronto, Ontario - 5 days per week onsite
Added 16 days ago
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RQ11740 – DevOps/Cloud Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 16 days ago
SM
RQ11740 – DevOps/Cloud Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 16 days ago
SM
RQ11740 – DevOps/Cloud Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 16 days ago
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Software Engineer II
Microsoft
Vancouver, BC
- Full-time
Added 16 days ago
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Principal Software Development Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
As a Principal Full Stack Software Engineer in Agent Factory, you’ll help build the user-facing and platform experiences that bring Workday’s AI agents to life. Working within a small,…
Added 17 days ago
RI
AI Engineer
Remarcable, Inc.
Remote, Canada
- Full-time
- Remote
As our AI Engineer, you will turn the data flowing through Remarcable every day (purchase orders, quotes, invoices, inventory and supplier catalogs) into AI features that save contractors…

Nutanix

Software Engineer - C++/Linux -AI Gateway

Vancouver, BC, Canada

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

Apply on LinkedIn About employer

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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.

Apply on LinkedIn 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

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Jobs in Canada