About Distyl AI

Distyl AI develops production-grade AI systems to power core operational workflows for Fortune 500 companies. Powered by a strategic partnership with OpenAI, software accelerators developed in-house, and deep enterprise AI expertise, we give our customers working AI systems with rapid time to value - within a quarter.

Our products have helped Fortune 500 customers across diverse industries, from insurance and CPG to non-profits. As part of our team, you will help companies identify, build, and realize value from their GenAI investments, often for the first time. We are customer-centric, working backwards from the customer’s problem and holding ourselves accountable for creating both financial impact and improving the lives of our end-users. We are not just pushing the frontier of AI forward - we are creating the future of AI-powered enterprises.

Distyl is led by proven leaders from top companies like Palantir and Apple. We are VC backed by Coatue, Dell Technologies Capital, leaders like Nat Friedman (Former CEO of Github) and Brad Gerstner (Founder and CEO of Altimeter), and board members of over a dozen F500s.

What We Are Looking For

The AI Platform Engineer – Cloud Ops role is a engineering position focused on ensuring that Distillery, our AI platform, is easily deployable, scalable, and reliable across customer hosted cloud and on-prem environments.

This is a hands-on role where you will optimize cloud deployments, automate infrastructure management, and enhance developer experience—ensuring our AI platform operates seamlessly in customer environments.

Key Responsibilities

• Deploy & Manage Cloud Infrastructure – Partner with customers to ensure Distillery runs smoothly within their environment. Develop cloud agnostic deployment tooling, using Kubernetes and Infrastructure as Code (IaC) tools like Terraform.

• Automate & Reduce Operational Overhead – Identify and eliminate manual effort by building tools, optimizing configurations, and improving infrastructure automation.

• Optimize Software Experience – Work across engineering org to build tooling to improve developer productivity via testing and automation.

• Secure & Harden Deployments – Apply security best practices to cloud-native applications, ensuring compliance with enterprise requirements.

Qualifications

• 3-7 years of professional experience in cloud infrastructure, DevOps, or DevX roles.

• Expertise in Kubernetes – Hands-on experience deploying and managing containerized workloads.

• Cloud Automation Skills – Proficient in managing infrastructure using Terraform or similar IaC tools.

• CI/CD Mastery – Strong experience in automating deployments using GitHub Actions, GitLab CI, or similar tools.

• Observability & Monitoring – Familiarity with OpenTelemetry, DataDog, or similar monitoring stacks.

What We Offer

• The opportunity to shape AI infrastructure for Fortune 500 companies.

• A role at the intersection of cloud, AI, and automation, working alongside elite engineers and AI researchers.

• Competitive salary, benefits, and equity in a high-growth startup.

• Hybrid work environment – 3 days a week in our SF or NYC offices.

If you’re passionate about scalable infrastructure, automation, and making AI systems deployable, we’d love to hear from you. Apply now and help define the future of AI-powered enterprise infrastructure!