Role : Cloud Infrastructure Architect

Location : Hybrid-4 days a week in Redwood City, CA

Full time

We need a senior or staff-level engineer with 4+ years of experience in cloud infrastructure who is equally strong at hands-on coding and systems design. You should be comfortable working in a small, fast-moving team with high ownership and minimal red tape, and have a track record of building and operating scalable, reliable cloud infrastructure. You must have a CS or engineering degree and be proficient in Python — this is a Python-heavy environment.

Role Requirements

Cloud Infrastructure Engineer needed to join a growing team.
Must handle both coding and systems design; Python, Terraform, and Kubernetes expertise required.

Candidate Requirements

4+ years of experience preferred; strong coding skills necessary.
Must have a computer science or relevant engineering degree.

Team Structure and Reporting

Reports to VP of Engineering; flat structure beyond that.
Small engineering team of about 20, offering broad exposure across the stack.

Work Experience

Cloud infrastructure engineering at production scale (not just backend/microservices)
Designing and operating highly available, scalable infrastructure systems
Managing Kubernetes-based systems for compute workloads
Implementing infrastructure-as-code across environments
Education
BS in Computer Science, Electrical Engineering, or related engineering field
Hard skills
Strong Python coding ability (not just scripting) + Bash or Go
Strong Kubernetes, Docker, and containerized architecture expertise
AWS required; multi-cloud a plus (GCP, Azure, OCI, on-prem)
Infrastructure-as-code (Terraform or Pulumi)
CI/CD pipelines, monitoring/observability & systems-level debugging

What You'll Do

Architect and maintain multi-cloud infrastructure (AWS primary, plus GCP, Azure, OCI, on-prem) to support customer deployments across diverse environments
Define and implement infrastructure-as-code using Terraform or Pulumi, driving best practices across the team
Design and manage Kubernetes-based systems for model training, inference, and data processing workloads
Write production-quality Python code daily — this is not a scripting-only role; you'll pass rigorous coding interviews and build real systems
Optimize CI/CD pipelines and streamline deployment of services across customer environments
Build monitoring, alerting, and logging systems to ensure high availability and observability
Collaborate closely with research and engineering teams to provide infrastructure support for training large-scale ML models
Drive cost-efficiency strategies across compute and storage resources
Respond to and resolve infrastructure incidents with ownership and urgency

Tech stack

Python, AWS, GCP, Azure, OCI, Kubernetes, Terraform, Pulumi, Docker, Helm, CI/CD, Bash, Go, CloudFormation

Cloud infrastructure and developer tools startups (fast-moving companies with strong cloud/Kubernetes expertise)
AI research labs and foundation model companies (teams with large-scale cloud infrastructure for training)
Cloud-native infrastructure teams at major cloud providers and big tech

HARAMAIN SYSTEMS INC.

New Jobs

Cloud Infrastructure Architect

AWS Cloud Security Engineer