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 that values innovation and collaboration.
- Why this job: Make a real impact on cinema accessibility 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. 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:
- 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) in London 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 make great films accessible to everyone.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Infrastructure Engineer (AI-First) in London
✨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, ask for a technical interview or a coding challenge. This is your moment to shine and demonstrate how you tackle infrastructure problems head-on.
✨Tip Number 3
Be ready to discuss your past projects! Prepare to talk about specific tools and systems you've built or improved. MUBI loves hands-on experience, so share your journey and the impact of your work.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the MUBI team.
We think you need these skills to ace Senior Infrastructure Engineer (AI-First) in London
Some tips for your application 🫡
Show Your Passion for Cinema:When you're writing your application, let your love for cinema shine through! Mention any films or directors that inspire you and how they relate to your work in infrastructure. We want to see that you're not just a techie, but someone who truly cares about making great cinema accessible.
Highlight Your Technical Skills:Make sure to clearly outline your experience with the tech stack mentioned in the job description. Whether it's Kubernetes, AWS, or Terraform, we want to know how you've used these tools to solve real problems. Be specific about your achievements and the impact you've made in previous roles.
Demonstrate Your Leadership Abilities:As a senior engineer, we’re looking for someone who can mentor others and lead by example. Share examples of how you've guided teams or improved processes in your past roles. This will show us that you’re not just about getting the job done, but also about uplifting those around you.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows that you’re proactive and keen to join our team!
How to prepare for a job interview at Mubi
✨Know Your Tech Stack
Familiarise yourself with MUBI's tech stack, especially AWS, Kubernetes, and Terraform. Be ready to discuss your hands-on experience with these technologies 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. Highlight your ability to take ownership of issues and drive them to completion, as this aligns with the role's emphasis on autonomy and impact.
✨Demonstrate Leadership and Mentorship
Since the role requires technical leadership, think of instances where you've mentored others or led projects. Be prepared to discuss how you can raise the bar for the team and contribute to a collaborative environment.
✨Think Security First
Given the focus on security in the job description, be ready to talk about how you've considered security in your previous projects. Discuss your understanding of attack surfaces and how you've implemented security measures in your infrastructure work.
