Infrastructure Engineer (AI)

TL;DR

Infrastructure Engineer (AI/SRE): Building and shipping agentic automation and internal tools to solve complex infrastructure problems with an accent on AI-powered workflows and platform reliability. Focus on designing agentic incident response, managing EKS clusters, and optimizing a global bare-metal CDN.

Location: Hybrid in London (2-3 days/week). Remote considered for strong candidates outside London.

Company

hirify.global is a global streaming service, production company and film distributor dedicated to elevating great cinema.

What you will do

• Design and build agentic workflows for infrastructure operations, including incident response, observability, and support ticket triaging.
• Build and maintain MCP servers and AI-powered automation that connects various infrastructure systems.
• Design, run, and evolve EKS clusters as the primary platform for all hirify.global services.
• Operate and extend an in-house bare-metal CDN spanning multiple global locations and manage AWS infrastructure via Terraform and Chef.
• Build CI/CD pipelines (Jenkins, ArgoCD, Helm) and Kubernetes operators to automate platform workflows.
• Define and uphold SLO commitments to ensure system availability and reliability.

Requirements

• 5+ years of experience in infrastructure, platform engineering, or DevOps.
• Strong software engineering skills with a track record of building and shipping tools in the infrastructure space.
• Deep expertise in Kubernetes internals, Linux, and networking, including bare-metal server automation.
• Proficiency with Infrastructure as Code (Terraform) and distributed systems.
• Security-minded approach to integrating LLM APIs and agentic tools into infrastructure.
• Technical leadership experience in architecting solutions and mentoring other engineers.

Nice to have

• Experience building Kubernetes operators, controllers, or custom platform abstractions.
• Background in backend or full-stack development (Ruby, Python, or Go).
• Experience with Kafka, event-driven architectures, or data pipeline design.
• Experience building with LLM APIs, MCP, or agentic frameworks.
• Domain knowledge in video streaming.

Culture & Benefits

• Small team environment with high autonomy and direct impact.
• SRE-driven culture focused on eliminating toil through automation.
• Flexible hybrid work model with potential for remote arrangements for exceptional talent.
• Inclusive environment committed to diversity and equal opportunity employment.