Senior Cloud Infrastructure Engineer (AI)

Location: Sunnyvale, CA, United States; hybrid

Company

hirify.global builds AI hardware and software infrastructure, including a large-scale AI chip and high-performance AI computing platforms for model labs, enterprises, and AI-native startups.

What you will do

• Architect and operate AWS infrastructure including VPCs, EKS/ECS, IAM, networking, RDS, S3, and ElastiCache.
• Define SLOs, error budgets, and runbooks; lead incident response, postmortems, and durable root-cause remediation.
• Build Terraform-based infrastructure-as-code and GitOps pipelines, eliminating manual provisioning.
• Design multi-account AWS organization strategies using AWS Organizations, Control Tower, and SCPs for security and cost governance.
• Implement observability, automation, scaling, patching, lifecycle management, and cost visibility.
• Partner with security, networking, and platform teams and evaluate AWS-native and third-party tooling to improve infrastructure efficiency and developer experience.

Requirements

• 8+ years of experience in cloud infrastructure, SRE, or DevOps roles with a strong software engineering foundation.
• Deep hands-on AWS expertise, including complex multi-region and multi-account environments; AWS Solutions Architect Professional certification or equivalent practical depth is required.
• Expert-level Terraform experience and experience with Atlantis or similar GitOps workflows.
• Strong programming skills in Python, Go, or a similar language, including production-grade automation.
• Proven Kubernetes experience, preferably EKS, including cluster lifecycle, networking, CNI, service mesh, and workload reliability.
• Deep AWS networking knowledge covering VPC design, peering, Transit Gateway, Direct Connect, security groups, and NACLs.
• Experience with AWS IAM at scale, including role design, permission boundaries, OIDC federation, and least-privilege enforcement.
• Hands-on experience with AI coding tools and AI-assisted automation for triage, incident response, or operational workflows.
• Strong incident command skills and end-to-end ownership of production outages and postmortems.
• Experience with AWS cost optimization at scale, including Savings Plans, Reserved Instances, and Spot orchestration.
• Familiarity with SOC 2 and ISO 27001 compliance frameworks in a cloud context.
• Experience in GPU/ML infrastructure or high-performance computing workloads on AWS.
• Experience running on-call rotations, defining SLOs, and driving operational maturity in a fast-moving environment.
• Experience supporting highly technical engineering populations where uptime and speed both matter.

Culture & Benefits

• Work on an AI platform designed beyond the constraints of GPUs.
• Opportunities to publish and open-source AI research.
• Work with one of the fastest AI supercomputers in the world.
• Startup vitality combined with job stability.
• Simple, non-corporate culture that respects individual beliefs, with continuous learning, growth, and support.