The Cloud Architect is a hands-on, build-oriented role responsible for designing, scaling, and operating the cloud platform that MC's Platforms' product and AI infrastructure.

This role is AWS-first and DevOps-native, embedded within Product Technology and Platform, and owns the architecture of a multitenant environment serving multiple internal and external workloads.

Reliability and cost efficiency are outcomes of good architecture, not the starting point.

Key Responsibilities :

- Design and operate a scalable, multitenant AWS platform serving multiple product lines and customer environments, with clear tenant isolation, shared services, and environment segmentation.

- Own infrastructure-as-code at platform scale Terraform, CI/CD pipelines, environment promotion patterns, and drift management.

- Establish DevOps-native engineering practices across cloud operations : GitOps workflows, automated infrastructure testing, and self-service provisioning for product engineering teams.

- Design and operate cloud infrastructure supporting AI workloads including model inference and data pipelines, with a focus on reliability, performance, and observability.

- Define compute, storage, networking, and observability standards across environments; embed cost transparency and governance as a byproduct of well architected infrastructure.

- Support migrations and production readiness initiatives.

- Leverage automation and AI-assisted tooling to reduce operational toil across capacity planning, anomaly detection, and incident triage.

What Success Looks Like :

Within the first 6 to 12 months, the Cloud Architect will have :

- Delivered a well-architected, multitenant AWS platform with documented standards, IaC coverage, and self-service provisioning for engineering teams.

- AI and data workloads running reliably across environments, with observable performance and clear operational runbooks.

- Reduced operational toil through standardized, automated patterns and GitOps native workflows.

- Cloud costs that are transparent and predictable; a natural result of well governed architecture, not a separate workstream.

Qualifications Education & Experience :

- 7+ years in cloud engineering or architecture roles.

- Deep, hands-on AWS expertise (primary cloud); proven experience designing multitenant architectures with tenant isolation, shared services, and environment segmentation at scale.

- Infrastructure-as-code expertise at team scale Terraform required; experience with Terragrunt, Atlantis, or module-based IaC governance preferred.

- Strong DevOps engineering background CI/CD pipeline design, GitOps workflows, and experience building self-service platform capabilities for product engineering teams.

- Experience supporting AI/ML workloads in cloud environments (inference, training, or data-intensive pipelines).

- Understands the cost implications of architectural decisions and can implement tagging, allocation, and rightsizing governance without it becoming the primary focus of the role.

Soft Skills :

- Operations-first, pragmatic mindset comfortable owning outcomes, not just recommendations.

- Able to drive architectural decisions through influence rather than authority, and communicate trade-offs clearly to both technical and non-technical stakeholders.

- Brings solutions and concrete proposals when confronted with ambiguity or competing constraints.