MUBI

Media

SeniorInfrastructureEngineer(AI-First)

£85–120k ~AI est. London, United Kingdom FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Infrastructure Engineer (AI-First) at MUBI. Skills: Infrastructure engineering, Agentic automation, Platform engineering, Kubernetes. Design agentic workflows. Build agentic workflows”

Industry & Context.

Media
Problems you'll solve

Root cause analysis; Troubleshooting; Problem ownership

Eligibility Requirements

Hybrid work, Remote considered

What They're Looking For.

Must Have

5+ years infrastructure experience, 5+ years platform engineering, 5+ years DevOps experience, Software engineering skills, Kubernetes experience, Deep Linux knowledge, Deep networking knowledge, Security-minded, Deep understanding distributed systems, Deep understanding high availability, Deep understanding SLO-driven operations, Technical leadership, Infrastructure as code experience

Nice to Have

Building Kubernetes operators, Building Kubernetes controllers, Building custom platform abstractions, AWS experience, Cloud provider experience, Bare-metal servers experience, CDN operations experience, Backend development background, Full-stack development background, Ruby experience, Python experience, Go experience, Kafka experience, Event-driven architectures experience, Data pipeline design experience, Data pipeline operations experience, Building with LLM APIs, MCP experience, Agentic frameworks experience, AI-powered operational tooling familiarity, AIOps familiarity, Intelligent alerting familiarity, Automated runbooks familiarity, Video streaming domain knowledge

What You'll Do.

Design agentic workflows

Build agentic workflows

Build AI-powered automation

Assess security surface

Build internal services

Collaborate with product engineers

Write production-quality code

Build CI/CD pipelines

Improve CI/CD pipelines

Operate bare-metal CDN

Extend bare-metal CDN

Manage cloud infrastructure

Build Kubernetes operators

Maintain Kubernetes operators

Build Kubernetes controllers

Maintain Kubernetes controllers

Design data pipelines

Operate data pipelines

Design event-driven architectures

Operate event-driven architectures

Maintain observability

Improve observability

Define SLO commitments

Uphold SLO commitments

How You'll Work.

Team & Collaboration

Peer to engineers; Cross-functional teams

Process & Methodology

Agile

Full Job Description

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. That’s where you come in! Join our global team and help us make great cinema accessible to everyone, everywhere. ABOUT THE ROLE This isn't a traditional DevOps role, and it's not an ML infrastructure role. You're 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: Bu

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