At a Glance
- Tasks: Design and build innovative infrastructure solutions using AI-powered automation.
- Company: Join MUBI, a global leader in streaming and film distribution.
- Benefits: Enjoy a hybrid work model, competitive salary, and a creative environment.
- Other info: Be part of a diverse team committed to innovation and accessibility in cinema.
- Why this job: Make a real impact in the film industry while working with cutting-edge technology.
- Qualifications: 5+ years in infrastructure engineering and strong software development skills required.
The predicted salary is between 70000 - 90000 £ per year.
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.
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
- Build & Ship — Agentic Infrastructure
- Design and build agentic workflows for infrastructure operations — incident response, observability, 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: MariaDB, 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 DevOps
- 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 about the attack surface of what you build, especially when integrating AI and agentic tools into infrastructure
- Deep understanding of distributed systems, high availability, and SLO‑driven operations
- Technical leadership — you architect solutions, mentor engineers, and raise the bar for the team
- Infrastructure as code experience (Terraform)
Nice‑to‑haves
- Experience building Kubernetes operators, controllers, or custom platform abstractions
- AWS or other cloud provider experience
- Experience with bare‑metal servers or CDN operations
- Background in backend or full‑stack development
- Ruby, Python, or Go experience
- Experience with Kafka or event‑driven architectures
- Data pipeline design and operations
- Experience building with LLM APIs, MCP, or agentic frameworks
- Familiarity with AI‑powered operational tooling (AIOps, intelligent alerting, automated runbooks)
- Video streaming domain knowledge
Don’t meet every requirement? Please apply anyway. We’re looking for curious, capable people who want to build great things. If you think you’d thrive here, we’d love to talk. We want to make cinema accessible to everyone. We believe people from different backgrounds bring different ideas that foster innovation and engagement, allowing us to attract great people to develop the best experience for our users. MUBI is committed to being an Equal Opportunity Employer. That means it’s our responsibility to ensure that all candidates are not discriminated against in our hiring processes and our employment decisions based on their race, color, religion, nationality or ethnic origin, age, gender identity or expression, sex, marital status, physical or mental disability, socioeconomic background, sexual orientation, family or parental status, or any other applicable characteristic.
Senior Infrastructure Engineer (AI-First) employer: Mubi
MUBI is an exceptional employer that fosters a vibrant and inclusive work culture, where creativity and innovation thrive. With a focus on employee growth, MUBI offers opportunities for mentorship and leadership within a small, autonomous team, allowing you to make a direct impact on the future of cinema. Located in London, the hybrid work model provides flexibility while being part of a global mission to elevate great cinema, making it a rewarding place for passionate individuals to contribute and grow.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Infrastructure Engineer (AI-First)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already at MUBI. A friendly chat can open doors and give you insider info that could make your application stand out.
✨Tip Number 2
Show off your skills in real-time! If you get the chance, participate in coding challenges or tech meetups. This is a great way to demonstrate your expertise and passion for infrastructure engineering.
✨Tip Number 3
Tailor your approach! When you apply through our website, make sure to highlight your experience with agentic workflows and AI-powered automation. We want to see how you can bring value to our team!
✨Tip Number 4
Prepare for the interview by brushing up on your knowledge of Kubernetes and distributed systems. Be ready to discuss your past projects and how you've tackled real-world infrastructure challenges.
We think you need these skills to ace Senior Infrastructure Engineer (AI-First)
Some tips for your application 🫡
Show Your Passion for Infrastructure:When writing your application, let us see your enthusiasm for building and shipping software. Share specific examples of projects where you've tackled real infrastructure problems, especially those involving automation and observability.
Be Clear and Concise:We appreciate clarity! Make sure your application is easy to read and straight to the point. Highlight your relevant experience and skills without unnecessary fluff, so we can quickly see how you fit into our team.
Tailor Your Application:Don’t just send a generic application. Take the time to tailor your CV and cover letter to reflect the specific requirements of the Senior Infrastructure Engineer role. Mention your experience with Kubernetes, AWS, and any AI-powered tools you've used.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Mubi
✨Know Your Tech Stack
Familiarise yourself with the specific technologies mentioned in the job description, like AWS, Kubernetes, and Terraform. Be ready to discuss your hands-on experience with these tools and how you've used them to solve real infrastructure problems.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex infrastructure challenges in the past. MUBI is looking for someone who can take ownership of problems, so be ready to explain your thought process and the steps you took to drive solutions to completion.
✨Demonstrate Leadership and Mentorship
Since this role involves technical leadership, think of instances where you've mentored others or led projects. Highlight how you've architected systems and raised the bar for your team, as this will resonate well with MUBI's expectations.
✨Emphasise Your Security Mindset
Discuss your approach to security, especially when integrating AI and automation into infrastructure. MUBI values a security-minded engineer, so be prepared to talk about how you've assessed and mitigated risks in your previous roles.
