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Flexspring

Cloud Architect

Flexspring

. Design and implement infrastructure for the complete AI lifecycle, including data pipelines, model training, experimentation, deployment, and monitoring .

Posted 9/21/2026full-timeRemote • CanadaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing scalable cloud infrastructure solutions, particularly in AWS, while ensuring security, compliance, and cost optimization. Proficient in leading projects, mentoring teams, and applying best practices in AI lifecycle management and cloud architecture.

Highest-signal resume keywords
AWS Cloud Solutions ArchitectureCloud Infrastructure DesignContainer Orchestration (Docker, Kubernetes)AI Lifecycle ManagementSecurity and Compliance Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Cloud IaaS and PaaS ArchitectureNetworking and Virtualized System AdministrationLinux Operating SystemsIdentity Frameworks (OAuth, OpenID, SAML)Vulnerability and Threat ManagementAI Design PatternsData Pipeline DevelopmentModel Training and DeploymentAutomation and OrchestrationCost Optimization Strategies
Soft Skills
Technical LeadershipMentoring and TrainingCollaborationProject ManagementCommunication
Tools & Technologies
AWSFlexspringDockerKubernetesVector DatabasesEmbedding SystemsMicroservicesArchitecture Review BoardTechnical DocumentationCloud Security Tools
Industry Keywords
AI WorkloadsCloud StrategyIT GovernanceRisk ManagementCompliance Controls

Tech Stack

Tools & technologies
AWSCloudDockerKubernetesLinuxMicroservices

About the role

Key responsibilities & impact
  • Design and implement infrastructure for the complete AI lifecycle, including data pipelines, model training, experimentation, deployment, and monitoring
  • Architect scalable solutions for AI workloads and automations
  • Document and implement AI design patterns, including microservices, model serving architectures, and automations
  • Design, build, and optimize infrastructure for large language models and workflow automations
  • Select and design vector databases and embedding systems for RAG and semantic search applications
  • Lead architecture, technology design, and deployment projects using appropriate methodologies to develop production-ready cloud solutions
  • Supervise and validate project team members' work implementing AI-based solutions
  • Support application/infrastructure solution architecture in AWS
  • Design, migrate, and implement complex, robust, and cost-effective AWS and Flexspring cloud infrastructure solutions
  • Establish cloud strategy focused on cost optimization, resource utilization, IAM, security posture, and governance
  • Create architectural diagrams, project plans, technical documentation, and technology roadmaps; present designs in Architecture Review Board meetings
  • Collaborate with IT security on security policies, standards, and guidelines
  • Ensure cloud solutions follow security and compliance controls and company standards
  • Maintain expert knowledge of commercial cloud platforms
  • Train and mentor colleagues and distribute critical knowledge among team members
  • Provide technical leadership and architectural support for secure, scalable cloud capabilities and third-party integrations
  • Participate in hiring evaluations for cloud infrastructure team candidates
  • Foster transparency, automation, continuous improvement, and technical excellence

Requirements

What you’ll need
  • A bachelor's degree in Computer Science or equivalent is required
  • 5+ years of networking and virtualized system administration experience to deliver end-to-end Cloud Infrastructure architectures and designs
  • 3+ years of experience architecting, designing, and building cloud IaaS, PaaS cloud architecture solutions services
  • AWS-related experience is required
  • 3+ years of experience in implementing cloud application architecture, automation, orchestration, governance, and security architectures for public cloud implementations
  • 3+ years of experience working with container-based systems and container orchestration services such as Docker, Docker Swarm and Kubernetes
  • Experience with identity frameworks, including OAuth, OpenID and SAML
  • Ability to maintain proficiency in vulnerability and threat management best practices
  • Solid understanding of security protocols, cryptography, authentication, authorization, and security
  • Knowledge of emerging cloud technologies and related ecosystems
  • Experience with IT governance, risk, and compliance management
  • Complete mastery of Linux operating systems

Benefits

Comp & perks
  • Work from home with flexible hours
  • 4 weeks of paid vacation annually
  • Comprehensive health benefits package for you and your family
  • Team events and opportunities to connect with colleagues
  • Opportunity to work with cutting-edge technologies
  • Competitive base salary