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Added 54 mins ago
EN
Senior Forward Deployed Engineer (10570) Toronto, Canada
Extreme Networks
Toronto, ON
- Full-time
…work across application development, agentic AI, integrations, data, APIs, automation, networking, and cloud infrastructure to solve problems in real customer…
Added 1 hour ago
V
Forward Deployed Engineer - Full Stack AI Solutions
VistaVu
Calgary, AB
- Full-time
…responsive support through our partnerships with SAP S/4Hana Cloud, SAP Business One, SAP Business ByDesign, Boomi, and Amazon Web Services to mid-market companies in a broad range of…
Added 2 hours ago
M
Technical Architect- AI
Mphasis
Toronto, ON
- Full-time
10+ years of overall experience in software engineering, cloud architecture, or data platforms.
Added 2 hours ago
Q
ML Architect
Quantiphi
Canada
- Full-time
Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.
Added 2 hours ago
VS
Forward Deployed Engineer - Full Stack AI Solutions
VistaVu Solutions
Calgary, AB
- Full-time
…responsive support through our partnerships with SAP S/4Hana Cloud, SAP Business One, SAP Business ByDesign, Boomi, and Amazon Web Services to mid-market companies in a broad range of…
Added 2 hours ago
CF
AI/ML DevOps Engineer
CI Financial
Toronto, ON
- Full-time
CI Financial is seeking an experienced AI/ML DevOps Engineer to join the Data, AI & Analytics (DNA) team. In this role, you will help operationalize Gen AI and machine learning solutions by…
Added 5 hours ago
Senior Software Engineer, OIG
Okta
Toronto, ON
Okta Identity Governance (OIG) organization is looking for a Senior Engineer to join our team - OIG is Okta’s Identity Governance and Administration solution that is directly responsible…
Added 5 hours ago
O
Senior Software Engineer, OIG
Okta
Toronto, ON
- $136,000 to $187,000 CAD / year
- Full-time
Okta Identity Governance (OIG) organization is looking for a Senior Engineer to join our team - OIG is Okta’s Identity Governance and Administration solution that is directly responsible…
Added 6 hours ago
RB
Senior Director, Program Delivery
Royal Bank of Canada
Toronto, ON
- Full-time
…strategic planning, execution, and governance of large-scale AI solution delivery programs across RBC's enterprise. You'll bring both technical credibility and program management expertise…
Added 11 hours ago
SH
Applied AI Software Engineer
SE Health
Markham, ON
- Full-time
Integrate AI services with enterprise applications, workflows, identity controls, data platforms, and approved cloud environments.
Added 14 hours ago
N
Software Engineer - AI/Inference /Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
…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,…
Added 15 hours ago
M
Senior software engineer: Applied AI
Morningstar
Toronto, ON
- Full-time
The role encompasses fluency across cloud architecture and local model inference, evaluation design, agentic workflows and orchestration, API and tool design, and AI-assisted data…
Added 15 hours ago
M
Senior Software Engineer- Applied AI
Morningstar
Toronto, ON
- Full-time
The role encompasses fluency across cloud architecture and local model inference, evaluation design, agentic workflows and orchestration, API and tool design, and AI-assisted data…
Added 17 hours ago
C
Cybersecurity Architect
CGI
Mississauga, ON
- Full-time
The Cybersecurity Solution Architect is responsible for designing secure, scalable, and resilient technology solutions that align with organizational security standards, enterprise…
Added 17 hours ago
M
Innovative Data Platform Solution Engineer
Microsoft
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
…in the era of AI? If so, we invite you to join our team as a Cloud & AI Solution Engineer in Innovative Data Platform for commercial customers at Microsoft. Here, you'll be at the forefront…
Added 19 hours ago
BS
Technical Lead (Full-Stack Engineering & AI)
Brainhunter Systems Ltd
ON · Ontario, Canada
- Contract
…orchestration to Java/Spring Boot services, APIs, Kafka events, and data integration using REST API via Apigee. You will also be able to establish cloud infrastructure, development…
Added 21 hours ago
RB
Software Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Perform technical analysis and solution design; contribute to Jira story creation, estimation, and delivery
Added 21 hours ago
H
AI Solutions Architect
Hays
Toronto, ON
- Contract
The organization is investing heavily in AI, agentic technologies, cloud platforms, and enterprise-scale solution architecture capabilities to support strategic business priorities.
Added 23 hours ago
S
AI Engineer
Stripe
Toronto, ON
- Full-time
…users we serve. You'll operate as an embedded, high-context engineer focused on the highest-leverage opportunities across the SA org - building production-quality tooling, supporting our…
Added 23 hours ago
Software Engineer
Scotiabank
Toronto, ON
As a Software Engineer on Scotiabank’s Data & AI Technology team, you will be involved in designing, building, and scaling our enterprise data catalog and data management solutions…
Added 23 hours ago
SL
Site Reliability Engineer / Release Management & Automation Specialist
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
We are looking for a highly motivated, experienced and self-driven technical resource to serve as a Site Reliability Engineer / Release Management & Automation Specialist. This role…
Added 23 hours ago
PG
Forward-Deployed Software Engineer (AI Integration & Modernization)
Perseus Group
Toronto, ON
- Full-time
We are hiring a Forward-Deployed AI Engineer to own the design and delivery of production AI capabilities across a broad portfolio of Andromeda software businesses.
Added 23 hours ago
C
Senior Data Engineer
Clio
Toronto, ON
- Full-time
We are currently seeking a Senior Data Engineer to join our rapidly growing engineering team. This role is for someone who is passionate about building innovative data solutions and being…
Added 1 day ago
E
Principal Application DevOps Engineer, AI & Automation
Entrust
Canada
- Full-time
The IFI Cloud Service includes a broad set of customer-facing services, application components, databases, integrations, and on-premises cloud infrastructure. The Principal Application…
Added 1 day ago
D
Senior DevOps Engineer - Healix
Deloitte
Toronto, ON
- Full-time
We are hiring a Senior DevOps Engineer to own and evolve our cloud platform on AWS, grounded in infrastructure as code, secure multi-account patterns, and reliable delivery. You will shape…

Nutanix

Software Engineer - AI/Inference /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: Oct 24, 2026
Posting language: English
Posted: Sep 24, 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 Kubernetes services, optimizing systems for low latency and high throughput while building observability capabilities. Contribute across the product development lifecycle, collaborate with globally distributed teams, and support quality through code and design reviews, testing, documentation, and technology selection.

Requirements

Requires 2–5 years of product development experience, strong programming fundamentals, and experience with Go or Python, Docker, Kubernetes, and CI/CD pipelines. Candidates should understand distributed systems, datacenter infrastructure, performance tuning, operating system internals, and virtualization; machine learning, GPU, and open-source experience are advantages, and a bachelor's or master's degree in computer science or equivalent experience is requested.

Skills

Kubernetes
Docker
Cloud-Native Technologies
Go
Python
CI/CD
Distributed Computing
Distributed Storage
High-Performance Systems
Observability
Datacenter Design
Operating System Internals
Virtualization
Machine Learning
TensorFlow
PyTorch

Benefits

RRSP With Dollar-for-Dollar Matching up to 7% of Base Salary
Mental Health Coverage
Paramedical Benefits
Paid Maternity and Parental Leave
Bereavement Leave
Restricted Stock Units
Employee Stock Purchase Plan With a 15% Discount
Company Holidays
Sick Days
Company Wellness Days
Vacation Starting at 10 Days

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Large Language Models
LLM Inference
AI Gateway
Kubernetes
Docker
Cloud-Native Technologies
Go
Python
CI/CD Pipelines
Distributed Computing
Distributed Storage
High-Performance Systems
Low Latency
High Throughput
Observability
Metrics
Datacenter Design
Compute
Storage
Networking
On-Premises Deployment
Cloud Deployment
Hybrid Deployment
Operating System Internals
Virtualization
Application Performance Monitoring
TensorFlow
PyTorch
GPUs

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