Cloud and Infrastructure

Rabelo Digital; Brasil; Híbrido; BRL 240 000 - 360 000; Tempo integral

Resumo da oferta

Rabelo Digital is seeking a senior Cloud Architect to define the infrastructure strategy for cloud migrations and scalable environments. You will shape target architecture, assess landscape, and draft a migration or greenfield roadmap with clear cost, risk, and timeline trade-offs.

You will partner with engineering leadership to ensure critical decisions are respected, establish FinOps practices, and guide multi-cloud, governance, and security standards across environments, from design through

Qualificações

• Solid experience designing cloud architecture for production environments at scale.
• Deep command of at least one provider (AWS, Azure, or GCP) and comparative knowledge of the others.
• Experience with infrastructure as code and multi-account governance.
• Practical use of AI to speed up landscape analysis, documentation, and migration planning.
• Knowledge of testing and validation strategies for critical infrastructure.
• Strong communication to present architecture trade-offs to technical and business leadership.

Responsabilidades

• Audit the current infrastructure landscape and load, compliance, and budget requirements.
• Design the target cloud architecture and migration or greenfield roadmap.
• Define network, account, security, and governance standards across environments.
• Assess trade-offs between managed services, cost, and operational complexity.
• Follow implementation and review critical decisions with the engineering team.
• Establish FinOps practices for cost control at scale.

Conhecimentos

Cloud architecture

Production scale

Multi-cloud

FinOps

Infrastructure as Code

AI-assisted analysis

Security governance

Executive communication

Ferramentas

AWS

Azure

GCP

Terraform

Kubernetes

Descrição da oferta de emprego

We are looking for a senior Cloud Architect to design the infrastructure strategy for clients migrating to the cloud or professionalizing an environment that outgrew its original setup. The work is more strategic than operational: you define the target architecture, not necessarily implement it alone.

You will assess the current landscape, load, compliance, and budget requirements, and design the migration or greenfield roadmap with explicit trade-offs on cost, risk, and timeline. You then follow implementation to make sure critical decisions are respected.

We expect someone who has made and fixed expensive cloud architecture mistakes before, and therefore knows where they usually show up.

Define the cloud architecture strategy that supports migration or accelerated growth.

Responsibilities

• Audit the current infrastructure landscape and load, compliance, and budget requirements.
• Design the target cloud architecture and migration or greenfield roadmap.
• Define network, account, security, and governance standards across environments.
• Assess trade-offs between managed services, cost, and operational complexity.
• Follow implementation and review critical decisions with the engineering team.
• Establish FinOps practices for cost control at scale.

Requirements

• Solid experience designing cloud architecture for production environments at scale.
• Deep command of at least one provider (AWS, Azure, or GCP) and comparative knowledge of the others.
• Experience with infrastructure as code and multi-account governance.
• Practical use of AI to speed up landscape analysis, documentation, and migration planning.
• Knowledge of testing and validation strategies for critical infrastructure.
• Strong communication to present architecture trade-offs to technical and business leadership.

Nice to have

• Advanced certifications in AWS, Azure, or GCP (architect level).
• Experience leading multi-region or multi-cloud migrations.
• Knowledge of sector compliance (LGPD, PCI, SOC 2).
• Background in environments with high availability requirements (99.9%+).
• Experience mentoring more junior cloud engineers.
• Remote, flexible setup: you organize your routine around deliverables, not the clock.
• Growth budget for courses, certifications, and technical events.
• Health and wellness stipend.
• Real access to and ownership of the tools and AI stack we use in day-to-day engineering.
• Results-oriented culture: deliver well, and you get the autonomy to decide how and when you work.
• Small, senior squads with real room for technical decision-making.