DevOps Engineer

Twine is building an AI-native platform for enterprise identity governance and administration. Our product connects securely to a customer's applications, identity systems, and internal knowledge, understands how the organization actually works, and uses agentic AI to execute complex operational tasks end-to-end.

About the Role: We are looking for a DevOps Engineer to build the backbone of our autonomous security platform. You will manage the infrastructure that powers our Agentic AI workflows, ensuring high performance, scalability, and security for systems that operate independently.

What you’ll do:

• Build and scale our cloud infrastructure to support high-throughput AI-driven workloads.
• Manage and optimize the production environment for autonomous agent workflows.
• Design and maintain robust CI/CD pipelines for fast and reliable deployments.
• Monitor system health, scalability, and costs in a complex security environment.

Requirements:

• 3-4 years of professional experience in DevOps.
• Expertise in Cloud Infrastructure and Infrastructure-as-Code (IaC) tools (Terraform preferred).
• Strong experience with Kubernetes, containerization, and orchestration at scale (EKS / AKS preferred).
• Hands-on experience with GitOps and continuous delivery tools, specifically ArgoCD.
• Deep understanding of Cloud Providers: Strong production experience with AWS or Azure.
• Understanding of AI-system infrastructure: Experience managing workloads related to LLMs, Agentic flows, or large-scale data processing is a significant advantage.
• Ability to work independently and thrive in a fast-paced R&D environment.

Advantages:

• Certified Kubernetes Administrator (CKA) certification
• Hands-on experience managing Dagster for data orchestration.
• Experience managing and optimizing Snowflake data warehouses.