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Added 1 day ago
SL
Lead AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
Corporate IT is seeking an experienced Lead AI Engineer to design, develop, deploy, and support enterprise-grade Artificial Intelligence, Machine Learning, and Generative AI solutions on…
Added 1 day ago
SL
Senior AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
Corporate IT is seeking an experienced Senior AI Engineer to design, develop, deploy, and support enterprise-grade Artificial Intelligence, Machine Learning, and Generative AI solutions on…
Added 1 day ago
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HPC (High-Performance Computing) Consultant
VySystems
Canada
- Full-time
We are looking for a individual contributor with expertise across Kubernetes, cloud infrastructure, HPC platforms, GPU computing, Terraform, and automation. Depending on experience,…
Added 1 day ago
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Senior Software Developer (Pre-ID Relo)
Intuit
Toronto, ON
- Full-time
We are hiring a Senior Software Engineer to join our HCM engineering team in Toronto. You will own the design and delivery of full stack features across our HCM surfaces, working from…
Added 1 day ago
KB
AI Engineer
KidKare by MinuteMenu
Canada
- Full-time
Experience deploying production systems; familiarity with cloud infrastructure (AWS, Azure, or GCP).
Added 1 day ago
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Data Quality Engineer
Hays
Toronto, ON
- Contract
As a Senior Quality Engineer, you will be responsible for defining and implementing quality assurance processes, developing automated tests, identifying and mitigating risks, and ensuring…
Added 1 day ago
Dynamics/Powerplatform engineer
Capgemini
Montreal, QC
We are looking for a Senior Microsoft power platform Engineer, who is familiar with AI Builder and Co-Pilots as well as Dynamics and Power Apps. The ideal candidate will have experience…
Added 1 day ago
Senior Machine Learning Engineer, Benefits Personalization
HelloFresh
Toronto, ON
…incentives that drive retention and revenue growth. As a Senior ML Engineer within our Benefits Personalization Squad, you will own the data infrastructure that powers personalized customer…
Added 1 day ago
VC
AI Engineer
Valsoft Corporation
Remote, Canada
- Full-time
- Remote
· Experience deploying production systems; familiarity with cloud infrastructure (AWS, Azure, or GCP).
Added 1 day ago
S1
Security Engineer
Signal 1
Toronto, ON
- Full-time
Support end-to-end security architecture across all domains (IAM, infrastructure security, application security, cyber defense, and data security), ensuring controls are consistent,…
Added 1 day ago
TC
Data Engineer
TMC Canada
Montreal, QC
- Full-time
TMC Canada is looking for an experienced Data Engineer to join our team in Montréal and work on high-impact infrastructure projects for a tier 1 global financial institution.
Added 1 day ago
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Senior Machine Learning Engineer
TD
Toronto, ON
- Full-time
We are seeking a Senior AI/ML Engineer to drive the strategic implementation of generative AI and machine learning capabilities across TD's enterprise platforms. This individual contributor…
Added 1 day ago
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Senior Machine Learning Engineer
TD
Toronto, ON
- Full-time
We are seeking a Senior AI/ML Engineer to drive the strategic implementation of generative AI and machine learning capabilities across TD's enterprise platforms. This individual contributor…
Added 1 day ago
SL
Sr. Analytics and Automation Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
Sr. Analytics and Automation Engineer - Focus on Micro segmentation Policy-as-a-Code.
Added 1 day ago
CD
Machine Learning Engineer, VLA & RL - Senior
cyberwave digital agency
Zurich, ON
- Full-time
Cyberwave is building the infrastructure layer for intelligent machines - making robotics as accessible, scalable, and programmable as cloud software. Our platform connects simulation,…
Added 2 days ago
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Ingénieur(e) En Gestion De Données ML
Ericsson
Montreal, QC
- Full-time
Based in Montreal, this role sits at the intersection of Data Management, MLOps, and enterprise hybrid-cloud platform engineering. You will help design, build, and operate the foundational…
Added 2 days ago
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Principal Machine Learning Developer
Cisco
AB · Calgary, Alberta
- Full-time
As a Principal Machine Learning Engineer Developer you will define how AI, LLMs, and autonomous operations transform network and security management across Cisco’s wireless, wired, cloud,…
Added 2 days ago
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Software Engineer - AI 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 2 days ago
N
Software Engineer - AI 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 2 days ago
S
AI Software Engineer
Snowflake
Remote, Canada
- $176,300 to $226,300 CAD / year
- Full-time
- Remote
Snowflake is building the most powerful AI Data Cloud in the world - and Canada is a critical part of that mission. Our AI/ML engineering teams are delivering the intelligence layer that…
Added 2 days ago
W
Software Engineer or Senior Software Engineer - Data Hub
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
In this role, you will contribute to a cloud ops platform that enables ingestion of data from internal and external producers, computes and aggregate meaningful, curated data sets, the…
Added 2 days ago
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Software Engineer - ML Launchpad
Verily
Waterloo, ON
- Full-time
Verily Health is a data platform and technology company purpose-built to power AI-enabled precision health solutions that accelerate research and improve care for individuals and…
Added 2 days ago
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AI Engineer
Guidepoint
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Guidepoint seeks an experienced AI Engineer as an integral member of the Toronto-based AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to building a…
Added 4 days ago
W
Sr. Software Development Engineer / Principal, Software Development Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
As either a Senior Software Development Engineer or a Principal Software Development Engineer on the AI Model Serving team, you will be a technical leader who helps shape the vision and…
Added 5 days ago
Senior Software Engineer - Agentic AI security - 2 positions
Tigera
Vancouver, BC
Tigera - the pioneer behind Calico and Lynx - is defining the future of AI agent security, workload governance, and cloud-native networking. As autonomous AI agents, LLM frameworks, and…

VySystems

HPC (High-Performance Computing) Consultant

Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Oct 13, 2026

Original job description

Work Type: Remote-first, with occasional on-site visits to customer offices. Candidates located near any Meta office location will be preferred.

Kindly focus on the candidates from top-tier organizations. As this role focuses on large-scale Kubernetes platforms, we are prioritizing candidates with experience in large enterprise environments. please prioritize candidates with strong hands-on Kubernetes experience at scale, including cluster lifecycle management, node pool sizing, scheduler troubleshooting, networking/CNI issues, upgrades, and production operations in large enterprise environments. Candidates should have a solid understanding of HPC workload scheduling concepts such as gang scheduling, fair scheduling, resource allocation, and Slurm, along with proven Python coding and problem-solving skills demonstrated through recent hands-on development work. Additionally, candidates must be able to confidently discuss their resume projects in depth, including architecture decisions, troubleshooting scenarios, production incidents, and their individual contributions. Please ensure candidates are independently capable of answering technical questions without relying on AI tools during interviews, as strong technical depth, reasoning ability, and real-world operational experience are critical for this role.

We are looking for individual contributor, I’ve seen resumes with Architect role background, please who working as Lead or Architect not going to suit for this role. So, look for candidates who can do Python coding and strong experience with Kubernetes, Terraform, Hpc.

Interview Process:

1st Interview – Tech Mahindra: Kubernetes, HPC Technical Interview and Python Coding2nd Interview – Amazon: Kubernetes, HPC Technical Interview and Python Coding3rd Interview – Meta: Kubernetes, HPC Technical Interview and Python Coding

Submission Format:

Candidate Full Name as per passportEmailPhone NumberCurrent LocationWork AuthorizationTotal ExperienceJoining AvailabilitySalary / RateAny relatives working in Tech M (If yes, please specify relation)Ex-Tech M (If yes, year of leaving Tech M)

SkillsYears experienceLarge-scale production KubernetesKubernetes troubleshooting - scheduler/CNI/nodes/upgradesGPU/HPC infrastructureTerraform / IaCPython automation (coding)SRE / reliability / incident managementAWS infrastructureAI InfrastructureNVIDIA GPU PlatformCalico/CiliumKarpenterLarge-scale clusters (500+ nodes)Multi-cloud experience (AWS + GCP + CoreWeave)

Must Have: Kubernetes + Slurm + NVIDIA GPU + AI/ML Infrastructure + Terraform + Python + AWS (EKS/FSx Lustre) + Monitoring/SRE

We are looking for a individual contributor with expertise across Kubernetes, cloud infrastructure, HPC platforms, GPU computing, Terraform, and automation. Depending on experience, candidates may be considered for Platform Engineer, Kubernetes Engineer, HPC Engineer, Cloud Infrastructure Engineer, DevOps Engineer, AI Infrastructure Engineer, or Site Reliability Engineer (SRE) roles.

Key Responsibilities

Design, deploy, operate, and support large-scale Kubernetes platforms across AWS, GCP, CoreWeave, OCI, and other cloud environments.Manage Kubernetes cluster lifecycle activities including provisioning, scaling, node pool management, upgrades, troubleshooting, and performance optimization.Support AI/ML and HPC workloads, including GPU-enabled compute infrastructure for training and inference environments.Provision and automate cloud and infrastructure resources using Terraform and CI/CD pipelines.Troubleshoot Kubernetes scheduling, networking, storage, and platform reliability issues.Implement monitoring, observability, alerting, SLIs/SLOs, and incident response processes.Collaborate with Networking, Security, Storage, AI/ML, Data Engineering, and Application teams.Develop automation and operational tooling using Python and cloud-native technologies.Participate in production support, root cause analysis, capacity planning, and platform optimization initiatives.

Required Skills

Kubernetes & Container Platforms

Kubernetes (EKS, GKE, AKS, OpenShift, CoreWeave CKS)Cluster Lifecycle ManagementNode Pool ManagementScheduler TroubleshootingCNI TroubleshootingNetworking PoliciesRBACHelmAutoscalingRolling Upgrades

Cloud Infrastructure

AWS (EC2, S3, IAM, VPC, EKS, EFS, FSx for Lustre)Google Cloud Platform (GCP)OCI (Oracle Cloud Infrastructure)Azure (Preferred)Multi-Cloud Infrastructure

Infrastructure as Code & Automation

TerraformInfrastructure as Code (IaC)CI/CD PipelinesGitHub Actions / Jenkins / GitLab CIAnsible (Preferred)

Programming & Scripting

PythonBash/Shell ScriptingAutomation DevelopmentREST API Integration

HPC & GPU Infrastructure (Preferred)

High-Performance Computing (HPC)SlurmNVIDIA GPU PlatformsGPU SchedulingCUDADistributed ComputingAI/ML Infrastructure

Monitoring & Reliability

PrometheusGrafanaDatadogSplunkCloud MonitoringSLI/SLO ManagementIncident ResponseRoot Cause Analysis (RCA)

Preferred Experience

Experience with any of the following is highly desirable:

AI/ML Infrastructure PlatformsKubeflowKServeRayMLflowvLLMVector Databases

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More about this job

Responsibilities

Design, deploy, operate, and optimize large-scale, multi-cloud Kubernetes platforms supporting GPU-enabled AI/ML and HPC workloads. Automate infrastructure with Terraform and Python, troubleshoot platform issues, and support monitoring, incident response, capacity planning, and reliability improvements.

Requirements

Candidates need hands-on experience operating Kubernetes at enterprise scale, including cluster lifecycle management, scheduling, networking, upgrades, and production troubleshooting, along with HPC/Slurm and NVIDIA GPU infrastructure knowledge. Strong Python development, Terraform, AWS experience (including EKS and FSx for Lustre), and the ability to independently explain technical decisions and production incidents are required.

Skills

Kubernetes
Slurm
NVIDIA GPU Platforms
HPC Infrastructure
Terraform
Python
AWS
EKS
FSx for Lustre
Cluster Lifecycle Management
Kubernetes Scheduling
CNI Networking
GPU Scheduling
Monitoring and Observability
SRE and Incident Management
AI/ML Infrastructure

Visa sponsorship

Not detected in the job text

Keywords

Kubernetes
Slurm
NVIDIA GPUs
HPC
AI/ML Infrastructure
Terraform
Python
AWS
EKS
FSx for Lustre
GCP
CoreWeave
OCI
Azure
CNI
Karpenter
Calico
Cilium
Prometheus
Grafana
Datadog
SLI/SLO
Incident Response
Root Cause Analysis
CI/CD
Helm
Autoscaling
GPU Scheduling
Ray
Kubeflow

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