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Added 9 hours ago
ZC
Machine Learning Engineer
Zurich Canada
Toronto, ON
- Full-time
Infrastructure as code, Kubernetes and production observability.
Added 9 hours ago
ZC
Machine Learning Engineer
Zurich Canada
Waterloo, ON
- Full-time
Infrastructure as code, Kubernetes and production observability.
Added 11 hours ago
N
Software Engineer - C++/Linux - Envoy Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
…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…
Added 14 hours ago
AI
Platform Engineer - Kubernetes, GitOps, Flux CD & AI/ML Infrastructure
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
We're seeking a skilled Platform Engineer to deploy and manage AI/ML infrastructure, e.g. LlamaIndex Cloud and KDB.AI applications on Kubernetes Platform.
Added 14 hours ago
S
Cloud DevOps
SOTI
Mississauga, ON
- Full-time
SOTI’s two decades of success has built strong partnerships with leading mobile platform providers and device manufacturers. We are deeply committed to researching and developing solutions…
Added 17 hours ago
S
Data Engineer - Canada Region
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…artificial intelligence, and transformation. You may work with cross-platform data engineering teams or with one of our centers of excellence that specializes in a particular ecosystem.…
Added 17 hours ago
S
Data Engineer - Canada Region
Slalom
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
…artificial intelligence, and transformation. You may work with cross-platform data engineering teams or with one of our centers of excellence that specializes in a particular ecosystem.…
Added 17 hours ago
S
Data Engineer - Canada Region
Slalom
Calgary, AB
- Full-time
…artificial intelligence, and transformation. You may work with cross-platform data engineering teams or with one of our centers of excellence that specializes in a particular ecosystem.…
Added 19 hours ago
WD
Senior Site Reliability Engineer
Walt Disney Animation Studios
Vancouver, BC
- $120,700 to $161,800 CAD / year
- Full-time
…collaborators create the magic of animation. The SRE team within the Platform & Infrastructure department at Walt Disney Animation Studios (WDAS) focuses on optimizing service deployments…
Added 1 day ago
RB
Principal AI Engineer, AI DLC Platform
Royal Bank of Canada
Toronto, ON
- Full-time
As Principal AI Engineer you will own the technical direction of that journey. You will define the platform architecture, the production boundary between code that runs in production and…
Added 1 day ago
HI
Cloud Architect
HISH IT SERVICES
Toronto, ON
- $75 CAD / hour
- Contract
We are seeking a GCP Cloud Architect/Engineer to design and implement scalable data solutions using Google Cloud Platform (GCP). This role will work closely with business stakeholders, data…
Added 1 day ago
FA
Founding Sales Engineer
Featherless AI
Remote, Canada
- $150,000 to $190,000 USD / year
- Full-time
- Remote
…engineering role - at a GPU cloud, inference provider, MLOps platform, AI/developer tooling company, or cloud infrastructure…
Added 1 day ago
R
Principal AI Engineer, AI DLC Platform
RBC
Toronto, ON
- Full-time
As Principal AI Engineer you will own the technical direction of that journey. You will define the platform architecture, the production boundary between code that runs in production and…
Added 1 day ago
C
AI Inference Core - Senior SDET, Release Integration Testing
Cerebras
Toronto, ON
- Full-time
We are looking for an experienced, hands-on Senior Software Development Engineer in Test (SDET) to join the Release Integration Testing (RIT) function within Release & Feature Qualification…
Added 1 day ago
WT
Senior AWS Cloud Engineer
Wissen Technology
Calgary, AB
- Full-time
A hands-on Senior AWS Cloud Engineer who has experience with building secure AWS Landing zones is required to join client's Cyber Security team. The role requires deep AWS expertise across…
Added 1 day ago
TC
Generative AI Engineer
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $90,000 to $110,000 USD / year
- Full-time
…clients to transform themselves across the full AI stack, from infrastructure to…
Added 1 day ago
ZS
OBSERVABILITY ENGINEER
Zodiac Solutions, Inc
Halifax, NS
- Full-time
We are seeking an experienced Observability Engineer to join our Enterprise Kubernetes Platform team at a leading financial services organization.
Added 2 days ago
W
Software Engineer (Python, Go)
Wiraa
Canada
- Full-time
As an Infrastructure Software Engineer at Baseten, you will play a critical role in developing and maintaining the core components of our machine learning inference platform. Your work will…
Added 2 days ago
A
AI/ML Engineer
Augmented
Toronto, ON
- Full-time
Augmented is hiring a Senior AI Engineer to lead the design and delivery of enterprise-grade AI systems for large clients in regulated industries. You will set technical direction,…
Added 3 days ago
TW
Senior Site Reliability Engineer
The Walt Disney Company
Vancouver, BC
- $120,700 to $161,800 CAD / year
- Full-time
…collaborators create the magic of animation. The SRE team within the Platform & Infrastructure department at Walt Disney Animation Studios (WDAS) focuses on optimizing service deployments…
Added 3 days ago
WD
Senior Site Reliability Engineer
Walt Disney Animation Studios
Vancouver, BC
- $120,700 to $161,800 CAD / year
- Full-time
…collaborators create the magic of animation. The SRE team within the Platform & Infrastructure department at Walt Disney Animation Studios (WDAS) focuses on optimizing service deployments…
Added 4 days ago
S
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Montreal, QC
- Full-time
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 4 days ago
A
Cloud Software Engineer
Actalent
Ottawa, ON
- $61 to $70 CAD / hour
- Contract
In this role, you will support the design, development, testing, and deployment of the Telemetry & Observability Platform (TOP). This enterprise platform integrates vehicle telemetry,…
Added 4 days ago
A
Observability Engineer || Fulltime || Toronto, ON - Onsite
AceStack
Toronto, ON
- Full-time
A hands-on Observability Engineer who can build, automate, scale, and maintain production-grade monitoring infrastructure across multiple Kubernetes clusters, ensuring reliable metrics…
Added 4 days ago
X
Senior Full Stack Developer
xMentium
Remote, Canada
- Full-time
- Remote
Our ideal candidate could also contribute as a Forward-Deployed Engineer on our Solutions Delivery Team - a small, tactical group that works directly with customers to deploy and integrate…

Nutanix

Software Engineer - C++/Linux - Envoy 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 19, 2026
Posting language: English
Posted: Oct 20, 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 structure, and algorithms.
Strong experience in Docker, Kubernetes, and Cloud native technologies
Experience building applications with Go and Python
Experience building and managing CI/CD pipelines
Strong understanding of datacenter 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 and highly motivated self-starter and problem solver with a drive to integrate, communicate, and work well with 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 containerized services on Kubernetes, optimizing systems for low latency and high throughput. Build observability capabilities, contribute to cloud-native projects, and collaborate across teams throughout product design, development, testing, launch, and ongoing improvement.

Requirements

Requires 2–5 years of product development experience, strong programming fundamentals, and experience with Docker, Kubernetes, Go or Python, CI/CD, distributed systems, and high-performance system software. A bachelor's or master's degree in computer science or equivalent experience is requested; machine learning, GPU, open-source, and multi-tenant infrastructure experience are advantages.

Skills

C++
Linux
Go
Python
Docker
Kubernetes
Cloud-Native Technologies
CI/CD
Distributed Computing
System Performance Optimization
Observability
Datacenter Design
Operating System Internals
Virtualization
Machine Learning
GPU Acceleration

Benefits

Retirement Plan 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
Wellness Days
Vacation

Visa sponsorship

Not detected in the job text

Keywords

C++
Linux
Go
Python
Docker
Kubernetes
Cloud-Native
CI/CD Pipelines
Distributed Computing
Distributed Storage
High-Performance Systems
Low Latency
High Throughput
Observability
Metrics
Datacenter Design
Networking
Virtualization
Operating System Internals
Application Performance Monitoring
Machine Learning
TensorFlow
PyTorch
GPUs
Containerized Services
Fault Tolerance
Multi-Tenant Services
Open Source
LLM Inference
AI Gateway

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