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Added 3 days ago
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AI/ML Compliance Lead
Roche
Mississauga, ON · Canada Pharma Campus
- Full-time
You bring functional expertise in programming languages (e.g., Python, R) along with cloud computing platforms (AWS, Azure, GCP) and MLOps practices for model governance in production.
Added 3 days ago
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Senior Data Scientist - Fraud Detection
DataVisor
Toronto, ON
- $120,000 to $150,000 CAD / year
- Full-time
Strong programming skills in Python (must-have) and proficiency with SQL; experience with PySpark is a significant plus
Added 3 days ago
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202610-127399 AI/ML Compliance Lead
Roche
Mississauga, ON
- Full-time
You bring functional expertise in programming languages (e.g., Python, R) along with cloud computing platforms (AWS, Azure, GCP) and MLOps practices for model governance in production.
Added 3 days ago
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Enterprise Architect – AI, Data & Cloud
Synechron
Mississauga, ON
- $180,000 to $200,000 CAD / year
- Full-time
…more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, we’ve grown our…
Added 3 days ago
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MONTREAL [hybrid] - MLOps Engineer
QUANTEAM - North America (RAINBOW PARTNERS Group)
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Senior-level Python development across the full data and ML stack.
Added 3 days ago
OS
GenAI Prompt Engineer
Open Systems Technologies
Montreal, QC
- Contract
The developer will be working within a machine learning team/squad. The team is working on developing Artificial Intelligence solutions including ML and Gen AI. The candidate should be…
Added 3 days ago
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AWS Data Engineer
Insight Global
Toronto, ON
- $55 to $65 CAD / hour
- Contract
This person should be technically strong in Python and SQL, have hands-on AWS migration experience, and be comfortable partnering directly with business stakeholders. Experience with…
Added 3 days ago
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Lead Applied AI Scientist - Deep/Reasoning Agents (Healthcare life science/Medical Device)
CoreTek Labs
Mississauga, ON
- Contract
7+ years in AI/ML, with at least 2 years building GenAI, agentic AI, or LLM-based solutions.
Added 3 days ago
Sr Staff. Software Engineer
Kaseya Careers
Toronto, ON
Experience with Python and data-related tooling (e.g., pandas, ML frameworks)
Added 3 days ago
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Software Engineer Manager
symplistic.ai
Woodbridge, ON
- $150,000 CAD / year
- Full-time
symplistic.ai is a fast-growing enterprise AI company with offices in Florida and the Greater Toronto Area. We specialize in agentic AI, enterprise products, and consulting, building…
Added 3 days ago
RI
Senior Full-Stack Java Developer (Front-Office / Capital Markets)
Rose International
Mississauga, ON
- Full-time
8+ years of professional software engineering experience, with demonstrable experience as a Full-Stack Developer transitioning into a Forward Deployed Engineer-style, customer-facing…
Added 3 days ago
HB
Data Engineer - Up to $200k CAD + Bonus
Hunter Bond
Montreal, QC
- Full-time
We are looking for a Data Engineer / Database Developer (2–5 years’ experience) to join a growing data team. You will be responsible for designing, building, and optimising scalable…
Added 3 days ago
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Software Engineer - C++/Linux -AI Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
Experience building applications with C++, Go, or Python.
Added 3 days ago
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Software Engineer - C++/Linux -AI Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
Experience building applications with C++, Go, or Python.
Added 3 days ago
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Forward Deployed Engineer - AI Inference Systems Research
Nutanix
Vancouver, BC
- $132,000 to $198,000 CAD / year
- Full-time
Programming: Strong proficiency in Python and C++ or Go, with an emphasis on systems programming, concurrency, and API development.
Added 3 days ago
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Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
…arm of the McGill University Health Centre (MUHC) affiliated with the Faculty of Medicine at McGill University. The RI-MUHC is supported in part by the Fonds de recherche du Québec - Santé…
Added 3 days ago
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Staff Machine Learning Engineer
Twilio
Remote, Canada
- Full-time
- Remote
8+ years applied ML/AI experience with a track record of owning technically ambitious systems end to end rather than contributing to someone else's design.
Added 3 days ago
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Senior Manager - Senior Tech Lead – AI & Technology Transformation
Toast
Montreal, QC
- $103,000 to $190,000 USD / year
- Full-time
…services firms, a global advisory, audit and tax organization with more than 10,000 people across the country. The firm’s advisory practice helps major Canadian organizations design and…
Added 3 days ago
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AI Architect, Manager
Avanade
Toronto, ON
- Full-time
Partner closely with our AI, IoT, and Intelligent Automation team and Solution Architects to translate the customer's business requirements to define AI & IoT value proposition and solution…
Added 3 days ago
GC
Machine Learning Research & Engineering Specialist
Gramian Consulting Group
Remote, Canada
- Contract
- Remote
…This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify,…
Added 3 days ago
S
Staff Software Engineer, Payments Intelligence
Stripe
Toronto, ON
- Full-time
We have the benefit and privilege of working on cutting edge technologies with incredible scale and reach while also working directly with our merchants every day to build the right…
Added 4 days ago
TG
Senior Manager, AI and Data
TMX Group
Toronto, ON
- $165,000 to $175,000 CAD / year
- Full-time
Advanced SQL and strong Python skills, with experience in performance tuning on large datasets.
Added 4 days ago
TR
Privacy Operations Engineer
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
Build and maintain integrations with data discovery and classification tooling (e.g., OneTrust Data Discovery, BigID, Collibra, AWS Macie, Azure Purview, database crawlers) to automatically…
Added 4 days ago
SL
Student, Software Engineer - Security (Winter 2027)
Sun Life
Toronto, ON · Sun Life Toronto One York
- Full-time
May assist in gathering functional requirements, developing technical specifications and test plans with internal team members and external partners
Added 4 days ago
Staff Machine Learning Engineer
Twilio
ON
…that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re…

Nutanix

Software Engineer - C++/Linux -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 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.

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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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