DevOps On-Prem Deployment Specialist

AI & ML & On-Premise

DevOps On-Prem Deployment Specialist

Why Polygraf AI?

At Polygraf, we envision a future where AI augments human capabilities without compromising safety, privacy, or ethical standards. Trust in our commitment to building this future with you.

About the Role

We’re looking for a DevOps Engineer who can deploy Python applications in both cloud and on-premises confidential computing environments. You’ll focus heavily on Python Ray projects, building deployment infrastructure for customers operating in highly regulated and air-gapped settings.

This role requires independent problem-solving skills. Many of the challenges you’ll face don’t have straightforward answers – you’ll need to research unfamiliar technologies and figure out how to make them work in production.

What You'll Do

Design and implement deployment pipelines for Python Ray projects across cloud (GCP/Azure/AWS) and on-premises confidential computing environments
Build and maintain infrastructure for local air-gapped and regulated deployments serving critical operations clients
Develop containerized solutions optimized for local deployment scenarios
Research and deploy confidential computing technologies

Required Experience

We require at least 3 years of overall DevOps experience with all of the following skills:

Cloud Platforms: 2+ years with GCP, Microsoft Azure, or AWS
Containerization: 2+ years with Docker in production environments
Linux & Scripting: 2+ years of Linux system administration and shell scripting
Python Deployment: 2+ years deploying Python applications to production
Networking: Solid understanding of networking fundamentals and firewall configurations
Version Control: 2+ years working with Git

Preferred Skills

Any of the following skills are welcome but not mandatory:

Experience with Confidential Computing technologies (Intel TDX, AMD SEV-SNP, AWS Nitro Enclaves)
Familiarity with Nix package manager and reproducible builds
Experience with mkosi for building OS images
Kubernetes administration experience
Ray framework for distributed Python applications
Python development experience (not just deployment)
GitHub Actions or similar CI/CD platforms

As an equal opportunity employer, we highly value diversity and inclusion. We recognize that a diverse team brings unique perspectives, fosters ongoing innovation, and deepens our connection to the global community we serve. If you’re enthusiastic about spearheading the next era of generative AI and leaving a profound impact on how individuals and brands create, we’re eager to have you join our team.

AI & ML & On-Premise