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Added 8 mins ago
IG
Mechanical Engineer (CATIA Designer)
Insight Global
Longueuil, QC
- Contract
…BI, reporting tools, and dashboard development. Exposure to Python for data analysis or automation. Familiarity with data science concepts and analytics. Experience leveraging AI-enabled…
Added 8 mins ago
LM
Associate Software Developer (Node.js & Python)
Liberty Mutual Canada
Toronto, ON
- $65,000 to $75,000 CAD / year
- Full-time
We are seeking a motivated Associate Developer to join the Mighty Moose team, focused on API integrations and LLM-powered applications. Working under the guidance of senior developers, you…
Added 8 mins ago
IG
Software Developer
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Mississauga, ON
- $45 to $68 CAD / hour
- Contract
Insight Global is seeking a Senior .NET Backend Developer to support and enhance a Sales Audit Tool used to analyze and process sales order data from an ERP system. The ideal candidate will…
Added 8 mins ago
LM
Software Developer (Node.js & Python)
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- $85,000 to $95,000 CAD / year
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Added 40 mins ago
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- $90 to $95 USD / hour
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Added 54 mins ago
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Added 55 mins ago
LC
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Added 1 hour ago
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Added 1 hour ago
SI
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Added 1 hour ago
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Added 6 hours ago
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Nutanix

Member of Technical Staff 4 - 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 11, 2026
Posting language: English
Posted: Oct 12, 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 and optimize systems for low latency and high throughput, including observability and low-level system performance. Collaborate with product and engineering teams across the product lifecycle, contribute to open-source cloud-native projects, and participate in design reviews, testing, experimentation, and launches.

Requirements

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

Skills

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

Artificial Intelligence
Generative AI
Large Language Models
LLM Inference
AI Gateway
Kubernetes
Docker
C++
Go
Python
Linux
Cloud-Native
CI/CD Pipelines
Distributed Computing
Distributed Storage
Fault-Tolerant Services
Containerized Services
Low-Latency Systems
High-Throughput Systems
Observability
Metrics
Data Center Design
Virtualization
Operating System Internals
Application Performance Monitoring
TensorFlow
PyTorch
GPU Accelerators
Multi-Tenant Services
Open Source

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