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Platform Science is seeking a Senior Cloud Infrastructure Engineer to join the CloudOps team. The company operates an open IoT platform connecting fleets, application developers, vehicle manufacturers, and equipment providers across the transportation industry.
This is a hands-on senior individual contributor role focused on building foundational cloud infrastructure and solving complex cloud problems at organizational scale. You will own infrastructure and platform capabilities end-to-end, working primarily through Infrastructure as Code, and creating guardrails and self-service capabilities that enable engineering teams to move quickly without sacrificing security or reliability.
Key responsibilities include:
- Owning and evolving the multi-account AWS Landing Zone, including AWS Organizations, Control Tower, Account Factory for Terraform (AFT), organizational structures, Service Control Policies, tagging standards, and permission boundaries
- Extending cloud governance, operational standards, security controls, observability, and backup capabilities across AWS, Azure, and GCP
- Improving cloud identity and access management using least-privilege principles, including Okta federation, AWS IAM Identity Center, permission sets, and credential management
- Designing and operating cloud networking capabilities, including IP address management, VPC architecture, routing, transit connectivity, Cloud WAN, and DNS
- Helping transition workloads from public-internet exposure to private and zero-trust networking models
- Building self-service infrastructure capabilities for engineering teams, including account provisioning, environment provisioning, and access requests
- Designing and maintaining backup, restore, and disaster recovery capabilities across cloud regions, accounts, and business units
- Implementing immutable and ransomware-resistant backup strategies for cloud-native and managed data platforms
- Building reusable Terraform/Terragrunt modules and infrastructure patterns for consumption by engineering teams
- Developing and maintaining CI/CD automation for cloud infrastructure
- Partnering with Security and FinOps teams on remediation and cost optimization
- Using AI coding agents as part of the engineering workflow while maintaining ownership for requirements, architecture, testing, security, and production outcomes
The scope is intentionally broad, spanning cloud identity and permissions, private networking, multi-cloud governance, backup and disaster recovery, security remediation, and developer self-service capabilities. AI-assisted engineering is part of how the team operates, using AI coding agents to accelerate implementation and automation while maintaining rigorous engineering review and security standards.
REQUIREMENTS:
- 7–10+ years of professional experience in Cloud Infrastructure, DevOps, Site Reliability Engineering, Platform Engineering, Systems Engineering, or related infrastructure discipline
- 4–5+ years of hands-on experience with AWS or another major public cloud (significant AWS experience strongly preferred)
- 3+ years of Infrastructure as Code experience, preferably using Terraform and/or Terragrunt
- Experience operating AWS at organizational scale, including AWS Organizations, multi-account architecture, and Control Tower or comparable landing-zone architecture
- Production experience with at least one additional major cloud platform (Azure or GCP) beyond managing a single workload
- Strong experience designing reusable Infrastructure as Code modules and patterns consumed by other engineering teams
- Hands-on experience with cloud identity and access management, including SSO, SAML federation, SCIM provisioning, IAM policies, roles, permission boundaries, and least-privilege access models
- Strong cloud networking fundamentals, including IP address planning, VPC/VNet design, routing, transit architectures, DNS, private connectivity, and network security
- Experience designing or maintaining CI/CD pipelines using tools such as GitHub Actions, Jenkins, or similar technologies
- Experience scripting or programming with Python, Go, Bash, or similar languages
- Strong Linux fundamentals
- Working knowledge of Kubernetes and cloud-native infrastructure
- Experience using AI coding agents or AI-assisted development tools such as Claude Code, Cursor, Codex, or similar tools; understanding of how to define requirements, establish success criteria, validate generated code, and identify situations where AI-generated infrastructure may introduce security or operational risk
- Ability to independently own complex infrastructure projects from design through production implementation
- Strong written and verbal communication skills with ability to collaborate across Engineering, Security, FinOps, and other technical teams
- Advanced English proficiency
- Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related technical field
- Must reside in Brazil
