AI Infrastructure Engineer

Distyl • New York, NY

100d • Hybrid

About The Position

The Cloud & DevOps Engineer role is an engineering position on our Platform team 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 support infrastructure deployments, contribute to automation pipelines, and collaborate with senior engineers to improve the reliability, security, and performance of our systems. You'll gain experience across cloud infrastructure, developer experience tooling, and enterprise DevOps practices while helping shape how AI is deployed at the world's largest companies.

Requirements

• 2-5 years of experience in platform engineering, DevOps, or cloud infrastructure roles.
• Hands-on experience with Kubernetes, including deploying and managing containerized workloads.
• Proficient with Terraform or similar Infrastructure as Code tools.
• Experience with CI/CD pipelines, using GitHub Actions, GitLab CI, ArgoCD, or Flux.
• Familiar with observability tools like OpenTelemetry, Prometheus, Grafana, or DataDog.
• Experience with at least one major cloud provider (AWS, Azure, or GCP); multi-cloud exposure is a plus.
• Basic understanding of networking and systems, including VPCs, DNS, load balancers, and access controls.
• Proficient in scripting with Python, especially for automation, internal tooling, or CI/CD workflows.
• Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
• Strong communication and collaboration skills, with the ability to work across engineering and customer teams.

Responsibilities

• Deploy & Manage Cloud Infrastructure - Collaborate with internal teams and customer engineering groups to deploy Distillery in public cloud, hybrid, and on-prem environments. Support scalable, observable, and resilient systems using Kubernetes and cloud-native architecture patterns.
• Build & Maintain Infrastructure as Code - Contribute to and evolve reusable, modular Terraform configurations that enable consistent deployments across AWS and Azure. Emphasize clarity, versioning, and environment parity using GitOps and IaC best practices.
• Automate & Reduce Operational Overhead - Identify opportunities to eliminate manual effort across the platform lifecycle-from provisioning to configuration management-and implement automation to improve reliability, speed, and security.
• Enable Developer Productivity & Self-Service - Build internal tooling and abstractions that empower developers to deploy, test, and monitor services independently, using best practices in CI/CD, environment provisioning, and local development workflows.
• Secure & Harden Deployments - Work across infrastructure and application layers to apply security controls, manage access, and meet enterprise compliance standards. Support threat modeling, secrets management, and secure service-to-service communication.

Benefits

• 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 NYC office.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Publishing Industries
• Education Level: Bachelor's degree
• Number of Employees: 11-50 employees