8 meilleures offres (devops engineer, rougemont, qc) (à pourvoir)

HPC Specialist
DRW —Montréal, QC
- Informatique
- DevOps
- Ingénierie
IT Developer
Ubisoft —Montréal, QC
- Temps plein
- Azure
- DevOps
- Conception de systèmes
Postuler rapidement
il y a 2 jours
Senior DevOps Specialist
dcbel Inc —Montréal, QC
- Temps plein
- Azure
- Informatique
- DevOps
Postuler rapidement
Capital Market Support Engineer
Recutify Inc. —Montréal, QC
- Temps plein
- DevOps
- SQL
- Comptabilité
Postuler rapidement
Dynatrace Observability Consultant - Bilingual (FR)
Arctiq —Montréal, QC
- Temps plein
- Télétravail
- Bilingue
- Azure
- Oracle
Postuler rapidement
Team Lead, Cloud Business Office (CBO)
BRP —Montréal, QC
- Sur appel
- Travail hybride
- Azure
- Salesforce
- DevOps
- Heures d'arrivée et de départ flexibles
Administrateur Stockage (Senior)
Sii —Montréal, QC
- De 37 000 $ à 45 000 $ par an
- DevOps
- Windows
- Linux
Senior Developer Operations Engineer
Unity Technologies Canada Company —Montréal, QC
- De 10 300 $ à 140 000 $ par an
- Temps plein
- Azure
- DevOps
- Anglais
- Programmes de Bien-être
- Assurance Invalidité
il y a 14 jours

Discover related jobs

Based on your search for devops engineer jobs.

Ingénieur(e) en stress Statiques / Stress Engineer - Static
Capgemini —Montréal, QC
Vous êtes titulaire d’un diplôme de niveau licence (bachelor) en génie mécanique ou aérospatial et justifiez de 5 à 10 ans d’expérience pertinente dans…
De 75 815 $ à 118 350 $ par an
Software Developer / Développeur Logiciel
Dormakaba Group —Montréal, QC
Développer des solutions cloud-native sur des plateformes telles qu'AWS, GCP ou Azure, en exploitant des services comme les fonctions serverless, les conteneurs…
De 90 000 $ à 120 000 $ par an

Show more related jobs

Explore jobs in cities nearby

Check out jobs in cities near your current location, Columbus

DevOps Engineer, Cloud Platform
Upstart —Toronto, ON
Connection and community through team events, all-company updates, and employee resource groups (ERGs). Bachelor's degree in Computer Science, Engineering,…
De 142 000 $ à 196 600 $ par an
Devops Engineer – AWS, AI, Python, Dynatrace, Elastic stack, Splunk, Security gateways, OpenShift4
APPTOZA INC. —Toronto, ON
As a Senior DevOps Engineer| you will be responsible for the evolution of our platform by leading the design| build and maintenance of the CI/CD pipelines along…
De 45 $ à 50 $ de l’heure
Postuler rapidement

Show more jobs in cities nearby

Je souhaite recevoir la dernière alerte emploi pour les postes de ce type : devops engineer (rougemont, qc)

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.

HPC Specialist

DRW
Montréal, QC

Postuler dès maintenant

Détails du poste

Compétences

TCP
Node.js
Droit
Informatique
Kubernetes
Ansible
Équilibrage de charge
DevOps
Ingénierie
Maîtrise
Bash
Baccalauréat
Systèmes distribués
Protocoles de réseau
Terraform
Scriptage
Réseaux informatiques
Linux
TCP/IP
Python

Description complète du poste

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it's not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

We are looking for an HPC Specialist to join our AI and Multi Asset Systematic Strategies team. This team builds and operates GPU infrastructure that powers AI and ML workloads. You'll work on the infrastructure stack from bare metal to model serving, combining systems engineering, performance optimization, and infrastructure automation to solve complex problems at the intersection of hardware, networking, and distributed systems.

Responsibilities:

Deploy, maintain, and optimize GPU infrastructure for large-scale LLM inference workloads, including provisioning, configuration, and deployment of GPU server fleets.
Architect and implement distributed serving solutions for multi-node, multi-GPU model deployments.
Manage GPU-enabled Kubernetes clusters for LLM and ML workloads.
Configure network infrastructure including load balancers, firewalls, and inter-node communication for GPU clusters.
Implement and optimize storage solutions for model weights and inference caches.
Troubleshoot performance bottlenecks across the stack: hardware, drivers, networking, and application layer.
Research and evaluate emerging GPU technologies, model serving frameworks, and infrastructure optimizations.
Collaborate with ML engineers to profile model performance and implement inference acceleration techniques.
Drive reliability improvements through monitoring, alerting, capacity planning, and incident response.

Requirements:

Bachelor's or Master's degree in Computer Science, Systems Engineering, or related field.
5+ years in DevOps, SRE, or infrastructure engineering roles.
Strong experience with GPU infrastructure, model serving frameworks (vLLM, SGLang), and GPU driver management.
Hands-on experience optimizing deep learning workloads (inference or training) on GPU clusters.
Deep Linux systems knowledge including network configuration, storage optimization, and Kubernetes orchestration.
Experience with infrastructure as code tools (Ansible, Terraform, or similar).
Strong understanding of distributed systems, networking protocols (TCP/IP, HTTP/2), and load balancing.
Proficiency in Python and Bash scripting for automation.
Experience with monitoring and observability tools (Prometheus, Grafana, or similar).

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

[#LI-KS1]

Postuler dès maintenant

Affinez votre recherche

devops engineer emplois - rougemont, qc

HPC Specialist

IT Developer

Senior DevOps Specialist

Capital Market Support Engineer

Dynatrace Observability Consultant - Bilingual (FR)

Team Lead, Cloud Business Office (CBO)

Administrateur Stockage (Senior)

Senior Developer Operations Engineer

Discover related jobs

Explore jobs in cities nearby

Je souhaite recevoir la dernière alerte emploi pour les postes de ce type : devops engineer (rougemont, qc)

Related Searches

Outils pour les chercheurs d'emploi

Outils Employeurs

Parcourir

Garder le contact