25 meilleures offres (platform engineer, quebec province) (à pourvoir)

Research Compute Platform Engineer
Lasso Informatics Inc Lasso Informatique Inc —Montréal, QC
- De 80 000 $ à 115 000 $ par an
- Temps plein
- Télétravail
- Recherche
- AWS
- Apprentissage automatique
Postuler rapidement
Staff Data Platform Engineer
OXIO —Montréal, QC
- Temps plein
- Travail hybride
- SQL
- AWS
- APIs
LVL - Spécialiste de la paie / Payroll Specialist
WITRON Service Canada Corporation —Laval, QC
- Microsoft Powerpoint
- Bilingue
- Microsoft Word
- Assurance Dentaire
- Bourses d'Études
Postuler rapidement
il y a 11 jours
Research Technician/Engineer with CV, IoT, and Microcontroller Expertise
Douglas Research Center —Verdun, QC
- De 50 000 $ à 75 000 $ par an
- Temps plein
- Anglais
- Recherche
- Esprit d'analyse
Postuler rapidement
il y a 5 jours
Senior Search Engineer – E Commerce (Solr Cloud)
Future Electronics —Kirkland, QC
- À partir de 100 000 $ par an
- Temps plein
- Travail hybride
- Bilingue
- Anglais
- Compétences en communication
- Assurance Dentaire
Postuler rapidement
Java Engineer with Azure
WISSEN TECHNOLOGY PRIVATE LIMITED —Montréal, QC
- Temps plein
- Azure
- Informatique
- DevOps
- Assurance Invalidité
- Assurance Dentaire
Postuler rapidement
Senior Software Developer
Eddyfi Technologies —Ville de Québec, QC
- Temps plein
- Travail hybride
- Azure
- Informatique
- DevOps
Postuler rapidement
Java Full Stack Engineer
WISSEN TECHNOLOGY PRIVATE LIMITED —Montréal, QC
- Temps plein
- Informatique
- DevOps
- Ingénierie
- Assurance Invalidité
- Assurance Dentaire
Postuler rapidement
Methods Engineer
Cyient —Longueuil, QC
- De 70 000 $ à 85 000 $ par an
- Temps plein
- Expérience en mécanique
- Ingénierie
- Anglais
- Indemnité de déménagement
- Assurance Dentaire
Postuler rapidement
Lead Network Engineer
Future Electronics —Kirkland, QC
- À partir de 100 000 $ par an
- Temps plein
- Travail hybride
- Informatique
- Baccalauréat
- Réseaux informatiques
- Programmes de Bien-être
- Assurance Invalidité
Postuler rapidement
Avionics Systems Engineer
Cyient —Montréal, QC
- De 90 000 $ à 100 000 $ par an
- Temporaire
- Maîtrise
- Baccalauréat
- En présentiel
Postuler rapidement
Développeur(euse) Full Stack junior- Junior Full-stack Developer
Dynacom Technologies —Laval, QC
- De 60 000 $ à 70 000 $ par an
- Temps plein
- Bilingue
- Informatique
- Ingénierie
- Programmes de Bien-être
- Assurance Invalidité
Postuler rapidement
il y a 12 jours
Senior RPA Automation Engineer
Future Electronics —Kirkland, QC
- À partir de 90 000 $ par an
- Temps plein
- Travail hybride
- Informatique
- DevOps
- Ingénierie
- Programmes de Bien-être
- Assurance Invalidité
Postuler rapidement
Verification and Validation Developer - Infrastructure & Automation
Octasic Inc. —Montréal, QC
- Temps plein
- Travail hybride
- Informatique
- Azure
- DevOps
- Aide au Transport Quotidien
Postuler rapidement
Principal Software Engineer, AI Systems
ReClick.io —Montréal, QC
- De 140 000 $ à 180 000 $ par an
- Temps plein
- APIs
- En présentiel
- Intelligence artificielle
Postuler rapidement
Telecom & Radar Systems / IA & Apprentissage autonomes - AI & Machine Learning Specialist
Humanitas Solutions —Montréal, QC
- De 55 000 $ à 110 000 $ par an
- Temps plein
- Travail hybride
- Doctorat
- Informatique
- DevOps
- Assurance Dentaire
- Formation linguistique offerte
Postuler rapidement
Software Developer / Développeur Logiciel
Dormakaba Group —Montréal, QC
- De 90 000 $ à 120 000 $ par an
- Temps plein
- Azure
- DevOps
- Java
- Programme d'Aide aux Employés
System Development Analyst
Future Electronics —Kirkland, QC
- À partir de 100 000 $ par an
- Temps plein
- Travail hybride
- Informatique
- DevOps
- Windows
- Assurance Dentaire
- Congés payés
Postuler rapidement
Data Engineer |Ingénieur données
PINESTONE ASSET MANAGEMENT INC. —Montréal, QC
- De 70 000 $ à 85 000 $ par an
- Temps plein
- Azure
- Informatique
- Ingénierie
- Programmes de Bien-être
Postuler rapidement
il y a 7 jours
Data Engineer | Ingénieur de données
PINESTONE ASSET MANAGEMENT INC. —Montréal, QC
- De 70 000 $ à 85 000 $ par an
- Temps plein
- Azure
- Schémas
- SQL
- Programmes de Bien-être
- Assurance Invalidité
Postuler rapidement
il y a 5 jours
Software Dev / Architect - Generative AI (DevOp / MLOp for AI Verification / Validation )
Humanitas Solutions —Montréal, QC
- De 55 000 $ à 110 000 $ par an
- Temps plein
- Travail hybride
- Azure
- Doctorat
- Informatique
- Assurance Dentaire
- Formation linguistique offerte
Postuler rapidement
Maintenance Manager
Groupe Leclerc —Saint-Augustin-de-Desmaures, QC
- Fins de semaine au besoin
- AutoCAD
- Ingénierie
- Systèmes PGI
- Assurance Dentaire
Technical Product & Delivery Manager | AI | Montreal-based | $140k - $180k + Benefits
White Bay —Montréal, QC
- De 140 000 $ à 180 000 $ par an
- Informatique
- Ingénierie
- Maîtrise
- Heures d'arrivée et de départ flexibles
Postuler rapidement
DevOps & Deployment Engineer
Morson Talent (Canada & USA) —Laval, QC
- De 51 $ à 94 $ de l’heure
- Contrat
- Travail hybride
- DevOps
- C++
- Baccalauréat
Postuler rapidement
Aerodynamicist – In-Flight Icing & CFD Engineer
Morson Talent (Canada & USA) —Montréal, QC
- Doctorat
- Ingénierie
- Maîtrise
Postuler rapidement

Je souhaite recevoir la dernière alerte emploi pour les postes de ce type : platform engineer (quebec province)

En vous connectant à votre compte, vous acceptez les conditions d'utilisation, la politique relative aux fichiers témoins et la politique de confidentialité de Workopolis.

Research Compute Platform Engineer

Lasso Informatics Inc Lasso Informatique Inc
Montréal, QC

Postuler rapidement

Détails du poste

Temps plein

Compétences

MATLAB
Administration de système
Kubernetes
Google Cloud Platform
Recherche
AWS
Docker
Apprentissage automatique
Terraform
Utilisabilité
Réseaux informatiques
ISO 27001
S3
Linux

Description complète du poste

Research Compute Platform Engineer

Development / Engineering

Location: Remote, North America

About Lasso

Lasso Informatics is a SaaS start-up with a live research data management and analysis platform that brings together multi-modal (imaging, genetics, behavioral, and biosample) data for large-scale studies. Thousands of researchers across the globe rely on our platform today, and we’re rapidly iterating and improving to push the boundaries of what’s possible in research data management.

We live to innovate, and empower scientists to focus on the science, not the technology, leading to a faster time to science, and cure.

Our team is incredibly diverse both by background and expertise, and that is not by accident, we believe that the most creative and powerful solutions come from different ways of thinking about the world. You will be working in an inspiring ecosystem alongside world-renowned professionals in medicine, physics, engineering, imaging, epidemiology, software development and genetics. We thrive on empowering our colleagues to be thought leaders and innovate fresh new solutions for an exciting and rapidly changing field.

About the Role

We are looking for a Research Compute Platform Engineer to design and build the next generation of Secure Compute Environments (SAFE) across AWS and GCP. This role focuses on developing new platform capabilities, establishing scalable and secure patterns, and enabling smooth handoff to SysOps for production rollout and ongoing operations.

This is a platform design and implementation role: you will define how systems should work, ensure they scale across multiple environments, and package them for reliable operation by others.

Responsibilities

Platform Design & Implementation

Design and implement new platform capabilities for secure research environments (compute, storage, access, tooling)
Build reusable reference architectures and standardized patterns for SAFE deployments
Develop infrastructure-as-code (e.g., Terraform) to enable consistent and repeatable environments

Research & Scientific Compute Enablement

Build and support platforms for RStudio, Jupyter, and MATLAB in secure, multi-user environments
Enable reproducible workflows using tools such as DataLad and Apptainer (Singularity)
Support machine learning and data-intensive workloads, including GPU-enabled environments

Scalability & Multi-Environment Architecture

Design multi-tenant, multi-environment systems with clear isolation boundaries
Define cloud resource organization strategies (AWS accounts, GCP projects/folders)
Ensure systems scale across teams, projects, and data sensitivity levels

Performance & Systems Optimization

Optimize compute environments for CPU, GPU, memory, and disk I/O performance
Design efficient storage and data access patterns (object storage, buckets, high-throughput file systems)
Identify and resolve bottlenecks across compute, storage, and networking layers

Cost Management & Governance

Define and implement tagging/labeling strategies for cost attribution and governance
Establish billing visibility and usage tracking across environments
Implement guardrails for budget control, quotas, and cost optimization

Security & Compliance

Translate security and compliance requirements into enforceable infrastructure patterns
Implement access controls, audit logging, and data governance mechanisms
Ensure environments meet regulatory and organizational requirements

Handoff to SysOps

Produce clear documentation, runbooks, and implementation guides
Ensure solutions are operationally sound, automatable, and maintainable
Partner closely with SysOps to support rollout and ongoing operations
Iterate on designs based on operational feedback

Qualifications

Required

Strong experience with AWS and/or GCP (compute, storage, networking)
Experience designing scalable, multi-environment or multi-tenant systems
Hands-on experience with Linux system administration
Experience with Infrastructure as Code (Terraform, Pulumi, or similar)
Familiarity with:
- RStudio, Jupyter, and/or MATLAB in shared environments
- Containers (Apptainer/Singularity, Docker)
- Data versioning or reproducibility tools (e.g., DataLad)
Understanding of:
- Disk I/O and storage performance
- Object storage (S3/GCS) and bucket design
- GPU selection and workload optimization
Experience supporting machine learning or data-intensive workloads
Ability to design systems that balance security, usability, performance, and cost

Nice to Have

Experience with HPC environments or research clusters
Familiarity with schedulers (Slurm, Kubernetes)
Experience with secure data enclaves or clean room environments
Knowledge of compliance frameworks (HIPAA, SOC2, ISO 27001)
Experience with policy-as-code or security automation

Key Characteristics

Strong systems thinker with attention to scalability and standardization
Able to move from prototype to production-ready design
Designs with operational handoff in mind
Comfortable working across infrastructure, security, and research domains
Clear communicator who can document and transfer knowledge effectively

Postuler rapidement

Affinez votre recherche

platform engineer emplois - quebec province