Jobs / Keyrus Canada
Senior AWS Cloud Architect
Keyrus Canada · Montréal, QC, Canada
Montréal, QC, CanadaFull timeExp: 7+ yrs115,000-130,000 CAD/yearlyHybrid
Remuneration
$115,000–$130,000 CAD; group insurance, RRSP and DPSP plans, wellness allowance, telecommunication reimbursement, four weeks of paid vacation, language courses, and continuous learning opportunities
Location
Montréal, QC, Canada
Visa sponsorship
Not specified
Job summary
Design and implement scalable AWS cloud architectures for clients, spanning infrastructure, networking, databases, enterprise integrations, container platforms, and CI/CD. The role also integrates AI services such as Amazon Bedrock and SageMaker, translates business objectives into technical roadmaps, evaluates cloud and AI technologies, and contributes architectural guidance in client and pre-sales discussions.
Benefits
Comprehensive group insuranceRRSP and DPSP participation plansMonthly wellness allowanceTelecommunication reimbursementFour weeks of paid vacationFrench and English language coursesCertifications, conferences, training programs, and industry events
Qualifications
- At least seven years of experience designing and implementing AWS cloud architectures.
- Strong background in cloud infrastructure, networking, databases, and system integrations.
- Experience with containerized applications, Kubernetes, and CI/CD environments.
- Experience in technical pre-sales and collaboration with business stakeholders.
- Experience delivering cloud architecture solutions in consulting or professional services.
- Experience translating client business needs into technical solutions.
- Experience supporting cloud-based AI implementations across platforms such as Amazon Bedrock, Amazon SageMaker, Azure AI, Google Vertex AI, and OpenAI APIs.
- Ability to communicate complex technical concepts to technical and non-technical audiences.
Responsibilities
- Design AWS architectures for compute, networking, databases, and enterprise integrations.
- Define and implement infrastructure using virtual machines, subnets, gateways, and other AWS components.
- Design and support Docker and Kubernetes environments.
- Incorporate CI/CD practices into cloud solution design and deployment.
- Integrate AWS AI services, including Amazon Bedrock and SageMaker, into cloud solutions.
- Translate client business objectives into scalable AWS architectures and implementation roadmaps.
- Evaluate cloud and AI technologies and recommend solutions for client technical ecosystems.
- Participate in technical pre-sales discussions and explain architecture decisions to business and technical stakeholders.
Skills
AWSAzureDockerKubernetesGCP
Languages
FrenchEnglish
Industry
Cloud computingArtificial intelligence
Relocation
No