Senior Cloud Platform DevOps Engineer

Posted Yesterday
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London, Greater London, England, GBR
Hybrid
Senior level
Digital Media • Virtual Reality • Design
The Role
Build and operate secure, scalable cloud-native and serverless infrastructure for an AI-driven SaaS platform. Responsibilities include Terraform provisioning, CI/CD pipeline development, developer enablement, cloud security, observability, monitoring, and deployment optimization. The role requires collaboration with artists, pipeline teams, systems teams, and external clients while supporting generative AI workflows and high-reliability production systems.
Summary Generated by Built In

Please note we are unable to support VISA and sponsorship for this role so you must have the right to work in the UK. This is a permanent role and we prefer a hybrid working model; we are flexible with remote working as long as you can meet with the team in our London studio in-person now and then.

At Framestore’s Oscar-winning Technology team, innovation is at the heart of what we do, whether this be developing new techniques, new ideas or creative new ways to tell our clients’ stories. Underpinning all of this is a long tradition of research, technology and development - from engineering our bespoke software solutions to gaining early access to bleeding-edge technology and forging vibrant partnerships with leading academic and scientific institutions.

Framestore combines talent and technology to bring life to everything we create. Driven by creativity and inspired by the future, we set out every day to reframe the possible.

The Role

This is a senior engineering role focused on taking a modern, cloud-forward approach to platform development. You will work on a greenfield, AI-driven SaaS platform, building modern tools that bridge state-of-the-art technology with Framestore's world-class film making and media production workflows. You will help deploy, scale, and secure cloud-native serverless infrastructure to support our generative AI SaaS platform and latest products. Beyond hands-on cloud orchestration, you will focus heavily on developer enablement—empowering the entire team to ship valuable features to production with high velocity and reliability. Working within an agile environment alongside artists, pipeline teams, and systems teams, you will design scalable cloud solutions, embed robust enterprise security practices, and enhance deployment pipelines as the platform grows.

What you’ll do

  • Provision, manage, and scale secure, high-availability cloud infrastructure using Terraform and modern orchestration tools following enterprise security standards.

  • Drive developer enablement by building, optimizing, and maintaining powerful CI/CD deployment pipelines to streamline developer workflows and increase overall delivery velocity.

  • Architect and efficiently scale cloud-native serverless services and execution pipelines to support generative AI SaaS platform workflows and external clients.

  • Embed robust enterprise cloud security practices, ensuring comprehensive data protection, secure network topologies, and compliance as the platform scales.

  • Implement and enhance comprehensive platform telemetry, observability, logging, and monitoring systems to guarantee high system reliability and performance.

What we’re looking for:

  • Strong proficiency in Python and modern web frameworks (FastAPI, Asyncio).

  • Proven senior experience developing, operating, and scaling cloud-native SaaS applications and serverless architectures.

  • Hands-on expertise with containerisation (Docker) and serverless architectures (Cloud Run, Vertex AI).

  • Experience with Infrastructure as Code (Terraform) and CI/CD pipelines (GitLab CI).

  • Familiarity with cloud security, authentication standards (OAuth, Identity Platform), and secure network topologies.

  • A passion for developer enablement, improving team velocity, and fostering a "testable software" mentality.

  • Excellent communication skills, allowing you to connect easily with both individuals and the wider team.

You might also have:

  • Experience designing setups that seamlessly span cloud providers (AWS, GCP, Azure) and local physical servers.

  • Experience integrating or orchestrating generative AI workflows (ComfyUI, LoRAs, LLMs, diffusion models).

  • Knowledge of observability, LLM evaluation, and prompt tracing frameworks (Langfuse, Langgraph).

  • Experience working within an Agile environment.

  • Understanding of GPU workload scaling and compute optimisation for AI models.

  • A professional-level cloud certification.

Accessibility Statement

Our London studio is fully accessible, with step-free entry, accessible toilets on all floors, and quiet spaces available. We are committed to supporting disabled colleagues and providing an inclusive workplace for everyone.

Application Process & Deadline

To apply, please complete the linked application form above by clicking the button or if that is not working you can email your resume and portfolio to [email protected] with the subject line: Senior Cloud Platform DevOps Engineer - London

We review all applications manually and do not use artificial intelligence to screen candidates. If you require any adjustments or support during the application process, please let us know - we are happy to accommodate your needs.

Skills Required

  • Strong proficiency in Python
  • Experience with modern web frameworks, including FastAPI and Asyncio
  • Senior experience developing, operating, and scaling cloud-native SaaS applications
  • Experience with serverless architectures
  • Hands-on experience with Docker
  • Hands-on experience with Cloud Run and Vertex AI
  • Experience with Terraform
  • Experience building and maintaining CI/CD pipelines with GitLab CI
  • Familiarity with cloud security, OAuth, Identity Platform, and secure network topologies
  • Passion for developer enablement and testable software practices
  • Excellent communication skills
  • Experience designing solutions across AWS, GCP, Azure, and local physical servers
  • Experience integrating or orchestrating generative AI workflows, including ComfyUI, LoRAs, LLMs, or diffusion models
  • Knowledge of observability, LLM evaluation, and prompt tracing frameworks such as Langfuse and Langgraph
  • Experience working in an Agile environment
  • Understanding of GPU workload scaling and AI model compute optimization
  • Professional-level cloud certification
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The Company
HQ: London
2,620 Employees
Year Founded: 1986

What We Do

Framestore brings extraordinary ideas to life in any space or screen through craft, imagination and technology. Offices in London, New York, Los Angeles, Montréal, Chicago, Melbourne, Vancouver, and Mumbai. Current film projects include: Fantastic Beasts: The Crimes of Grindelwald, Detective Pikachu, Dumbo, Captain Marvel, Alita: Battle Angel and Mary Poppins Returns. We were the recent proud recipients of both the BAFTA and Academy Award for our VFX on Blade Runner 2049. Visit our website for current vacancies in film, advertising and content: https://www.framestore.com/careers

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