Cloud Engineer

AutoHDR•Austin, TX

2h•Onsite

About The Position

We are looking for unusually strong engineers who can ship broadly across the stack and also bring deep expertise in cloud infrastructure, distributed systems, and high-throughput production environments. We want builders who can contribute to product features, backend systems, and AI workflows, while owning and scaling the cloud infrastructure that powers them.

Requirements

You are a high-agency builder who likes ownership
You can operate across infrastructure, backend, and product systems
You have demonstrated exceptional ability in a meaningful way
You may be a founder, CTO, founding engineer, or owned a core platform or infrastructure system
You have strong experience with cloud systems, distributed systems, or high-scale infrastructure
Founder / co-founder / CTO / founding engineer experience
Zero-to-one infrastructure or platform building
Ownership of critical production systems at scale
Experience with cloud platforms (AWS/GCP), container orchestration (Kubernetes), and distributed systems
Managing high-throughput systems, GPU workloads, or large-scale data pipelines
Real systems in production with real users
Exceptional open-source or systems work that demonstrates real technical horsepower

Responsibilities

Design, build, and operate scalable cloud infrastructure across compute, storage, and networking
Own deployment, orchestration, and reliability of AI image editing systems
Build and maintain backend services and high-throughput pipelines
Manage training and inference infrastructure (GPU workloads, scheduling, cost optimization)
Improve model-serving and media-processing workflows for speed and reliability
Optimize systems for latency, throughput, and cost at scale
Improve observability, debugging, and incident response systems
Build internal tooling, automation, and CI/CD pipelines
Implement / Improve Systems For: User-facing AI image editing tools at scale
Implement / Improve Systems For: High-volume media processing pipelines
Implement / Improve Systems For: Distributed training and inference systems
Implement / Improve Systems For: Our photo editing model style marketplace
Implement / Improve Systems For: Automated video editing workflows