10 meilleures offres (machine learning engineer, saskatchewan) (à pourvoir)

Cloud Platform Engineer
Sandbox Mutual Insurance —Saskatoon, SK
- Temps plein
- Télétravail
- Azure
- Informatique
- DevOps
Postuler rapidement
il y a 13 jours
Account Executive I
Vendasta —Saskatoon, SK
- Temps plein
- Vente
- Marketing
- Baccalauréat
il y a 2 jours
Heavy Civil Equipment Operators
Morgan Construction & Environmental Ltd —Saskatchewan
- Nuits au besoin
- Certification RCR
- Certificat de premiers soins de base
- Construction et rénovation
- Assurance Dentaire
- Assurance Vie
il y a 2 jours
Senior Communications Advisor
Medavie —Saskatoon, SK
- De 73 465 $ à 100 000 $ par an
- Temps plein
- Travail hybride
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
- Assurance Dentaire
- Assurance Vision
il y a 3 jours
Manager, IT Service Management
ISM Canada —Regina, SK
- Informatique
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il y a 2 jours
Team Lead, Software Development
Quarterhill —Saskatoon, SK
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Team Power Solutions —Saskatoon, SK
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VP, AI Customer Delivery
Vendasta —Saskatoon, SK
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Customer Success Manager, AI Enablement
Vendasta —Saskatoon, SK
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Bilingual Content Creator & Copywriter
Deals Empires inc. —Canada
- À partir de 25 $ de l’heure
- Fins de semaine au besoin
- Télétravail
- Bilingue
- Compétences rédactionnelles
- Anglais
- Travail à domicile
- Heures d'arrivée et de départ flexibles
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il y a 2 jours

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Je souhaite recevoir la dernière alerte emploi pour les postes de ce type : machine learning engineer (saskatchewan)

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Cloud Platform Engineer

Sandbox Mutual Insurance -
Saskatoon, SK

Postuler rapidement

Détails du poste

Permanent | Temps plein
Il y a 13 jours

Profil recherché

TCP
Infrastructure infonuagique
Azure
Informatique
DevOps
CCNA
Bash
AWS
Esprit d'analyse
Réponse aux incidents
Baccalauréat
Terraform
Scriptage
WAN
DNS
TCP/IP
Compétences en communication
Python
PowerShell
Intune
Gestion des identités et de l'accès
Technologie de l'information
VPN

Description complète du poste

We’re Sandbox, a mutual insurance company built on the principles of creating, learning, growing, and having fun doing it. We’ve been around for over a century now, with a focus on one thing:

Delightfully Simple Insurance.

Sandbox is inclusive, innovative, and growing incredibly fast—so working with us is actually exciting. If you’re ready to build scalable cloud environments, solve complex challenges, and influence the future of our technology landscape, join the Sandbox team!

As our Cloud Platform Engineer, you’ll play a key role in designing, building, and supporting our cloud environments. Working closely with infrastructure, security, and application teams, you’ll help ensure our platforms are secure, reliable, and optimized for performance and cost. As a senior technical expert, you’ll also mentor others, influence best practices, and drive innovation across our cloud ecosystem.

WHY YOU’LL WANT TO BUILD WITH US

Well, because Sandbox really is a sandbox — a giant playground for grown-ups who want to innovate, collaborate, and take on exciting challenges.

On top of our incredible culture and amazing people, we also offer a bunch of awesome perks, like:

Payday Perks: Competitive annual salary
Level Up: Tons of opportunities for professional development – on us
Vacation Goals: Annual paid vacation time, so you don’t have to put your travel dreams on hold
Bonus Days: A paid Earned Day Off (EDO) every three weeks — that’s like 17 extra days off a year!
Community Care: Two paid volunteer days each year
Ride into the Sunset: DC pension plan with 6% employer match

DIVE IN AND MAKE A SPLASH EVERY DAY BY:

Designing, deploying, and supporting cloud platforms with a strong focus on AWS and a multi-cloud approach including Azure
Building and maintaining secure, scalable cloud architectures, including landing zones and standardized environments
Managing identity, access, and security across AWS IAM and Microsoft Entra ID using least-privilege principles
Supporting secure connectivity across hybrid environments (VPN, DNS, routing, SD-WAN, Zero Trust access)
Acting as a Tier II escalation point for complex cloud and network incidents and providing after-hours support when needed
Leading incident response efforts, performing root cause analysis, and implementing long-term improvements
Identifying and remediating security risks, supporting audits, and ensuring compliance across cloud environments
Automating infrastructure and processes using scripting (PowerShell, Python, Bash) and Infrastructure as Code (Terraform, CloudFormation, ARM/Bicep)
Monitoring and optimizing cloud performance, availability, and cost efficiency
Collaborating with DevOps, security, and IT teams to implement best practices and improve service reliability
Creating and maintaining clear documentation, runbooks, and architecture diagrams
Mentoring teammates and helping drive consistent, secure cloud practices across the organization

WHAT YOU BRING TO SANDBOX:

Education: Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience)
Experience: 3–5 years in cloud engineering or infrastructure roles, with strong AWS experience
Cloud Expertise: Hands-on experience designing and supporting AWS environments; Azure experience in a multi-cloud setting is an asset
Security & Identity: Strong knowledge of cloud identity and access management, including Entra ID, AWS IAM, MFA, and Conditional Access
Networking: Solid understanding of networking fundamentals (DNS, TCP/IP, VPNs, routing) and modern connectivity solutions like SD-WAN and ZTNA
Automation: Experience with scripting and Infrastructure as Code tools such as Terraform or CloudFormation
Endpoint Management: Experience with Microsoft Intune, including device compliance and policy configuration
Certifications (Preferred): AWS, Azure, or networking certifications (e.g., AWS Solutions Architect, AZ-104, CCNA)
Problem-Solving: Strong analytical skills with the ability to troubleshoot complex technical issues
Communication: Excellent interpersonal skills and the ability to work across teams and explain technical concepts clearly
Leadership: Ability to mentor others, influence decisions, and drive improvements without formal authority
Adaptability: Comfortable working in a fast-paced environment and participating in on-call rotations

COME OUT TO PLAY

Serious about fun? So are we. Apply now and help bring the Sandbox story to life!

We thank all interested candidates; however, only those considered for an interview will be contacted.

Postuler rapidement

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machine learning engineer emplois - saskatchewan

Cloud Platform Engineer

Account Executive I

Heavy Civil Equipment Operators

Senior Communications Advisor

Manager, IT Service Management

Team Lead, Software Development

Intermediate Electrical Engineer

VP, AI Customer Delivery

Customer Success Manager, AI Enablement

Bilingual Content Creator & Copywriter

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Je souhaite recevoir la dernière alerte emploi pour les postes de ce type : machine learning engineer (saskatchewan)

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