Cloud Architect – Temporary, 6 months

CRG Solutions

Cloud Architect managing multi-cloud strategy and foundation across AWS, Azure, and GCP for IT Infrastructure & Operations. Partnering with Security and Application teams on architecture decisions.

Posted 4/11/2026contractRemote • 🇨🇷 Costa RicaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDNSGoogle Cloud PlatformKubernetesTerraform

About the role

Key responsibilities & impact

Architect and evolve our multi-cloud strategy and reference architectures across AWS, Azure, and GCP—prioritizing AWS/Azure depth while ensuring GCP solutions are viable and well-governed.
Design and implement cloud foundations / landing zones (accounts/subscriptions/projects, network topology, identity integration, logging, policy guardrails, and shared services).
Establish cloud architecture standards that enable speed and consistency (security baselines, network patterns, naming/tagging, environment strategies, reusable modules/templates).
Drive infrastructure automation using Infrastructure as Code (IaC) and CI/CD practices: Build and maintain reusable Terraform modules (or equivalent) Enable repeatable deployments for core cloud services and application teams.
Partner with Security to embed controls by design , including IAM strategy, key management, secrets management, encryption, vulnerability management, and cloud security posture practices.
Design enterprise-grade cloud networking , including connectivity, segmentation, routing, DNS, load balancing, and hybrid connectivity (e.g., VPN/Direct Connect/ExpressRoute equivalents).
Enable reliability and operational excellence by defining monitoring/alerting patterns, SLOs/SLIs, incident response integration, backup/DR strategies, and operational runbooks.
Lead cost-aware architecture and FinOps practices , including tagging standards, cost allocation, budget/forecasting inputs, and optimization recommendations (e.g., commitments/reservations, right-sizing, lifecycle policies).
Support and advise internal engineering teams on solution designs (containers/Kubernetes, serverless, data services, integration patterns), helping teams adopt cloud-native practices responsibly.
Build AI readiness into our cloud platforms : Help define guardrails for AI/ML services usage (data classification, access controls, audit, retention) Partner with teams exploring GenAI/ML to ensure solutions are secure, scalable, and compliant.
Stay current on cloud AI trends and translate them into pragmatic platform recommendations.
Mentor and elevate the team through technical leadership, design reviews, documentation, and knowledge sharing.

Requirements

What you’ll need

5+ years in cloud/infrastructure engineering or architecture roles, with demonstrated ownership of enterprise-scale environments.
Advanced working knowledge of AWS, Azure and GCP , including architecture, security, networking, and operations.
Strong experience with cloud governance and foundational design , such as: Multi-account/subscription/project strategies IAM and identity federation patterns Centralized logging/monitoring and policy guardrails
Strong hands-on experience with Infrastructure as Code (Terraform preferred; CloudFormation/ARM/Bicep are also valuable).
Experience implementing CI/CD for infrastructure and platform services (Git-based workflows, automated testing/validation, release discipline).
Solid understanding of cloud networking concepts and designs (segmentation, routing, hybrid connectivity, DNS, load balancing).
Proven ability to write and maintain clear architecture documentation (diagrams, decision records, standards, runbooks).
Strong communication skills: able to explain complex technical choices, tradeoffs, and risk in a straightforward way to both technical and non-technical audiences.
Working knowledge of cloud AI/ML services and common patterns.

Benefits

Comp & perks

Health insurance
Remote work options

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AWSAzureGCPInfrastructure as CodeTerraformCI/CDcloud networkingcloud governanceAI/ML servicescloud security

Soft Skills

communicationtechnical leadershipmentoringdocumentationknowledge sharing