About StackYak
StackYak is building the orchestration layer for AI infrastructure, unifying inference, GPU compute, and private networking into a single, cohesive product. Our mission is to move AI workloads from initial idea to full production in minutes, not months, by eliminating the complexity of sourcing and coordinating disparate infrastructure components. We provide a frictionless platform that integrates GPU capacity, networking, and inference, allowing developers and enterprises to build and deploy their entire AI stack seamlessly. As an early-stage, funded company with a small, senior team, we emphasize end-to-end ownership, rapid execution, and a culture where what you've built and run matters more than credentials. We're solving critical infrastructure challenges that much of the market is still overlooking, bringing true innovation to the AI landscape.
What You'll Do
- Architect, implement, and operate the foundational compute infrastructure that powers our AI orchestration platform.
- Design and build robust, scalable solutions for provisioning, managing, and recovering bare metal, virtual machines, and containerized GPU workloads across diverse environments.
- Drive the strategy and execution for integrating various GPU capacities, from owned hardware to external cloud providers, abstracting underlying complexities for our customers.
- Deeply debug complex, cross-layer infrastructure failures spanning hardware, firmware, Linux kernel, drivers, networking, and virtualization components.
- Automate critical infrastructure processes using Python and Terraform, ensuring high availability, security, and performance for customer AI workloads.
What We're Looking For
- Extensive experience (7+ years) designing, building, and operating production-grade Linux systems, with deep kernel-level understanding.
- Proven track record operating GPU infrastructure for demanding AI, HPC, or cloud environments, including managing NVIDIA and/or AMD platforms.
- Expert-level proficiency in bare metal provisioning, host hardening, and workload isolation at scale, without manual intervention.
- Strong practical experience with our core tech stack: Linux, Python, Terraform, Docker, and Kubernetes.
- Ability to make informed decisions between bare metal, virtualization (e.g., KVM), and containerization for diverse workloads.
- Demonstrated experience debugging complex, cross-functional infrastructure issues where the root cause could span multiple layers.
Tech Stack
Linux, Python, Terraform, Docker, Kubernetes
What's In It For You
Competitive compensation
Remote-first culture
Growth opportunities
Work with cutting-edge technology
Ready to join? Apply now and let's build something amazing together.
Linux
Python
Terraform
Docker
Kubernetes
SRE
AI Engineer
Network Engineer
Backend