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Senior Infrastructure Engineer; AI-First

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: MUBI
Part Time position
Listed on 2026-06-11
Job specializations:
  • IT/Tech
    Systems Engineer, Cloud Computing, SRE/Site Reliability
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Senior Infrastructure Engineer (AI-First)
Location: Greater London

About MUBI

MUBI is a global streaming service, production company and film distributor dedicated to elevating great cinema. To make this possible, we create, curate, acquire and champion visionary films, bringing them to audiences all over the world. We have a team of brilliant, dedicated and passionate people to help bring our mission to life. From London to New York, Istanbul to Paris, and Berlin to Mexico - we work together to realize MUBI’s vision.

The Role

This isn’t a traditional Dev Ops role, and it isn’t an ML infrastructure role. You are an infrastructure engineer who builds and ships software — internal tools, services, and agentic automation that solve real infrastructure problems. Think automated incident response, intelligent observability, MCP servers that connect infrastructure systems, and support ticket triaging. You apply agentic patterns to the messy operational world, not train models or manage GPUs.

We’re looking for someone senior — you architect systems, mentor other engineers, and lead by example. You’ve built real applications and tools in the infra space before, not just configured existing ones. You don’t hesitate to poke around unfamiliar systems, take full ownership of problems, and drive them to completion.

Our infrastructure team operates on SRE principles: we build reliable, automated systems and eliminate toil. We also build and maintain the platforms that let the rest of engineering deploy, scale, and monitor their services. You’ll own problems end-to-end, from bare-metal CDN servers to Kubernetes clusters to the AI-powered workflows that tie everything together. You use AI tools in your own workflow too — not as a novelty, but as a core part of how you build.

Small team, high autonomy, direct impact.

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

Where you’ll have impact

Build & Ship — Agentic Infrastructure

  • Design and build agentic workflows for infrastructure operations — incident response, observability, and support ticket triaging
  • Build and maintain MCP servers and AI-powered automation that connects infrastructure systems
  • Assess and own the security surface of agentic tools and workflows you build — understand what you’re exposing and how to lock it down
  • Build internal tools and services that make the engineering team faster
  • Prototype rapidly using AI-assisted development workflows
  • Collaborate with product engineers — you’re a peer, not a support function
  • Write production-quality code, not just glue scripts

Platform & Infrastructure

  • Design, run, and evolve our EKS clusters — the primary platform for all MUBI services
  • Build and improve CI/CD pipelines (Jenkins, ArgoCD, Helm)
  • Operate and extend our in-house bare-metal CDN spanning multiple global locations
  • Manage cloud infrastructure on AWS using Terraform and Chef
  • Build and maintain Kubernetes operators and controllers to automate platform workflows
  • Design and operate data pipelines and event-driven architectures using Kafka
  • Maintain and improve observability (ELK, Prometheus, Grafana, Datadog)
  • Define and uphold SLO commitments — own availability and reliability targets
  • Automate everything worth automating
Tech stack
  • Cloud: AWS, Kubernetes (currently EKS)
  • IaC:
    Terraform, Chef
  • CI/CD:
    Jenkins, ArgoCD, Helm, Kustomize
  • Observability: ELK Stack, Prometheus with Thanos, Grafana, Datadog
  • Streaming/Messaging:
    Kafka
  • Servers:
    Nginx (with Lua), bare-metal CDN
  • Databases:
    Maria

    DB, PostgreSQL
  • AI/Agents:
    Claude, MCP, agentic workflow tooling
  • Languages:

    Language-agnostic — strong fundamentals matter more than specific languages
What you’ll bring
  • 5+ years in infrastructure, platform engineering, or Dev Ops
  • Interest or experience in building agentic workflows, AI-powered automation, or working with LLM APIs
  • Strong software engineering skills — you’ve built and shipped applications and tools in the infrastructure space, not just configured existing systems
  • Strong Kubernetes experience — you understand the internals, not just kubectl apply
  • Deep Linux and networking knowledge — you’re comfortable running, debugging, and automating bare-metal servers, not just clicking around a cloud console
  • Security-minded — you think…
Position Requirements
10+ Years work experience
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