Senior Cloud Infrastructure Architect

Code and Theory, LLC; Austin (TX); In loco; USD 110.000 - 150.000; Tempo pieno

Descrizione del lavoro

Code and Theory seeks a senior cloud engineer to own the full lifecycle of enterprise client deployments. You will assess existing infrastructure, design integration architecture, provision environments, and run production systems across multiple cloud providers.

You’ll engage directly with client DevOps teams and translate security and compliance rules into concrete infrastructure decisions. You will connect our AI platform to enterprise marketing environments, handling diverse data stacks and

Competenze

• 6+ years of cloud engineering experience.
• Proven Terraform experience for multi-environment production infra.
• Production Kubernetes/Helm experience.
• Experience with enterprise API integration and security requirements.

Mansioni

• Assess client cloud infra, data stack, and security to craft integration plan.
• Design and provision environments across GCP, AWS, or Azure with Terraform.
• Deploy and operate inference pods and API integrations in client clouds.
• Build and maintain data integration layers connecting client data to AI layer.
• Manage containerized workloads via Helm and ensure secure deployments.
• Own end-to-end data pipeline deployments, including retries and rate limits.
• Enforce data residency by keeping raw data in client environments.
• Serve as primary technical contact for client DevOps teams.
• Lead technical sessions to validate configurations and IAM models.
• Triage and resolve pipeline/infrastructure issues across clients.
• Mentor junior engineers and contribute to shared patterns.

Conoscenze

Cloud engineering

Terraform

Kubernetes

Helm

Data pipelines

Security fundamentals

Client engagement

LLM API integration

Strumenti

Terraform

Kubernetes

Helm

Descrizione del lavoro

Code and Theory seeks a senior cloud engineer to own the full lifecycle of enterprise client deployments. You will assess existing infrastructure, design integration architecture, provision environments, and run production systems across multiple cloud providers.

You’ll engage directly with client DevOps teams and translate security and compliance rules into concrete infrastructure decisions. You will connect our AI platform to enterprise marketing environments, handling diverse data stacks and