Join a pioneering team building a scalable LLM platform for AI-first companies. As a Senior DevOps Engineer, you will streamline Kubernetes deployments while enhancing system reliability and security. This role offers a unique chance to work directly with the founders, influencing the product's direction.

With a focus on Kubernetes, you’ll design technical processes and integrate tools that enhance development and production environments. Your expertise will drive the optimization of our LLM inference across a wide array of providers, fundamentally shaping the future of our AI solutions. Key Responsibilities:

- Deploy services and manage Kubernetes clusters at scale
- Define and implement Kubernetes best practices
- Build scalable and high-performing infrastructure
- Integrate tools for development, CI/CD, and production
- Design user-friendly and secure technical processes

Requirements:

- 5+ years deploying services with Kubernetes
- Proficiency in high-reliability systems design
- Robust focus on integrating tools for enhanced velocity
- Detail-oriented approach in technical implementations
- Experience in creating robust operational processes

Facilitate the growth of our cutting-edge platform with your DevOps expertise.

📌 Senior DevOps Engineer for AI Platform (London)
🏢 Socket.dev
📍 London