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Added 2 mins ago
Embedded Software Designer
Kepler Communications Inc.
Toronto, ON
Full-time
We're on the hunt for a top-tier Embedded Software Engineer. Your focus will be on software development and maintenance required for both space and ground-based assets for a growing fleet…
Added 2 mins ago
Corporate Compliance, Supplier Quality & Regulatory Affairs Engineer
Wolf Steel Ltd
Barrie, ON
Full-time
The Corporate Compliance & Quality Engineer is responsible for building, supporting and maintaining the organization's global product compliance, supplier quality, food contact compliance,…
Added 2 mins ago
Test Automation Engineer
SE Health
Markham, ON
Contract
As a Test Automation Engineer, you will be responsible for hands-on test automation and testing across in-house applications, integrations, and vendor/SaaS solutions. The role will focus…
Added 2 mins ago
Senior AI Engineer
Tangerine
Toronto, ON
Full-time
Proven experience in automated testing, including unit and functional testing, and the ability to develop test strategies and design automation frameworks
Added 3 mins ago
Senior AI Engineer
Scotiabank
Toronto, ON
Proven experience in automated testing, including unit and functional testing, and the ability to develop test strategies and design automation frameworks
Added 32 mins ago
Corporate Compliance, Supplier Quality & Regulatory Affairs Engineer
Napoleon
Barrie, ON
$82,400 to $113,300 CAD / year
Full-time
The Corporate Compliance & Quality Engineer is responsible for building, supporting and maintaining the organization's global product compliance, supplier quality, food contact compliance,…
Added 32 mins ago
Technical Program Manager
HCLTech
Vancouver, BC
$120,000 to $135,000 CAD / year
Full-time
Background as a Software Engineer, QA Lead, SDET, Technical Lead, or Solutions Architect.
Added 49 mins ago
Ingénieur(e) en calcul de structures - Structural Stress Engineer
Altitude Aerospace
Montreal, QC
Full-time
Préparer des rapports de certification, des plans de test et des plans d'installation.
Added 49 mins ago
DSP Application Engineer, Principal
Qualcomm
Ottawa, ON
Full-time
…connected future for all. As a Qualcomm Hardware Application Engineer, you will provide technical expertise of hardware through trainings, product demonstrations, and the design, debug,…
Added 1 hour ago
Software Engineer in Test
PRI Global
Toronto, ON
Contract
SDET with strong Software Engineering background
Added 1 hour ago
Cybersecurity Specialist
J&M Group
Toronto, ON
Full-time
The ideal candidate combines the mindset of a security researcher, software engineer, and emerging-technology evaluator and is comfortable turning new ideas into measurable, working…
Added 1 hour ago
Substation Design Engineer
Spark Power
Calgary, AB
Full-time
Spark Power, a trusted partner in energy in North America, is looking for a Senior Substation Design Engineer to join our Alberta team. Spark Power provides a wide range of services to…
Added 1 hour ago
Corporate Compliance, Supplier Quality & Regulatory Affairs Engineer
Napoleon
Barrie, ON
Full-time
The Corporate Compliance & Quality Engineer is responsible for building, supporting and maintaining the organization's global product compliance, supplier quality, food contact compliance,…
Added 1 hour ago
Forward Deployed Agentic Engineer
Gumloop
Vancouver, BC
Full-time
Build, test, deploy, and iterate on Gumloop agents, and judge success by adoption and business impact.
Added 1 hour ago
Software Engineer in Test
PRI Global
Toronto, ON
Contract
We are looking for a Software Development Engineer in Test (SDET) with a strong software engineering background and extensive experience in test automation and development.
Added 1 hour ago
Test Architect/UI-Path Engineer
Hays
Toronto, ON · Greater Toronto Area, Canada
Full-time
Looking for Test Architect/UI-Path Engineer having minimum 10 years of experience
Added 2 hours ago
Dedicated Support Engineer - Toronto
OpenAI
Canada
Full-time
Are comfortable working with logs, metrics, traces, API requests, authentication flows, and customer-provided code or configurations to understand system behavior and test hypotheses.
Added 2 hours ago
Software Analyst
Hitachi Rail
Toronto, ON
Full-time
Design, code, debug, test, and review software components of low to medium complexity and criticality.
Added 2 hours ago
Prompt Engineer - Early Career (Canada)
Jobright.ai
Canada
Full-time
…job search process. They are seeking an early-career Prompt Engineer to craft and evaluate prompts that enhance the performance of AI outputs across user-facing…
Added 2 hours ago
Ingénieur en matériaux composites
Reaction Dynamics
Longueuil, QC
Full-time
We are seeking a Composite Engineer to support design, analysis, development, and manufacturing activities,
Added 2 hours ago
Software Analyst
Hitachi Rail
Toronto, ON
Full-time
Design, code, debug, test, and review software components of low to medium complexity and criticality.
Added 2 hours ago
Professional Engineering - Air Systems/Pneumatics - Aerospace | Dorval, QC, CAN | Exp: 5-10 Years
TechOrient Technology Services
Dorval, QC
Full-time
Act as a systems engineer and carry out pneumatics discipline activities
Added 3 hours ago
HVDC Control and Protection Application Engineer
GE Vernova
Winnipeg, MB
Full-time
System level requirements and test specifications capture
Added 3 hours ago
Software Engineer
Adecco
Ottawa, ON
Full-time
Adecco is currently hiring a Software Engineer for an exciting opportunity within a leading medical device and product development environment in Ottawa, ON. This role is ideal for…
Added 3 hours ago
Computer Modeling & Simulation Staff Specialist/Engineer
General Dynamics Land Systems–Canada
London, ON
Full-time
Computer Modeling & Simulation Staff Specialist/Engineer P55

Nutanix

Software Engineer 3 - 2-6years of experience.

Vancouver, BC, Canada

Pay: $103,000 to $155,000 CAD / year
Job type: Full-time
Apply by: Oct 23, 2026
Posting language: English
Posted: Sep 23, 2026

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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

Architect, design, and develop scalable, containerized, and fault-tolerant services on Kubernetes. Collaborate with global teams to optimize system performance and contribute to the full product development lifecycle.

Requirements

Requires 2-5 years of experience in product development with strong programming fundamentals in Go and Python. Candidates must have extensive experience with Docker, Kubernetes, and cloud-native architectures.

Skills

Go
Python
Docker
Kubernetes
Cloud native technologies
CI/CD pipelines
Distributed computing
System software design
OS internals
Virtualization
Application performance monitoring
Data structures
Algorithms
Machine learning
TensorFlow
PyTorch

Benefits

RRSP matching
Mental health coverage
Paramedical benefits
Paid maternity leave
Paid parental leave
Bereavement leave
Restricted stock units
Employee stock purchase plan
Vacation
Sick days
Company wellness days

Visa sponsorship

Not detected in the job text

Keywords

Software Engineer
Generative AI
Machine Learning
LLM
GPT
Cloud Platform
Kubernetes
Docker
Go
Python
CI/CD
Distributed Systems
Observability
Virtualization
TensorFlow
PyTorch
GPU
Hardware Accelerators
Open Source
Scalability
Fault-tolerant
Datacenter design
Networking
Storage
Agentic AI
Inference
AI Gateway
Software-defined cloud
Product Development
Hybrid

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