Cloud Infrastructure Architect

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