Senior Cloud Platform DevOps Engineer

Framestore Limited; City Of London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid work model

London studio meetings

Flexible remote work

Job summary

Framestore's Oscar-winning Technology team is hiring a senior engineer to drive a cloud-forward, AI-driven SaaS platform. You will build and scale secure cloud-native serverless infrastructure, focusing on deployment pipelines, observability, and security to support generative AI workflows.

You will work in an agile environment alongside artists and pipeline teams, enabling rapid feature delivery while maintaining high reliability.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

FastAPI

Asyncio

Docker

Terraform

GitLab CI

OAuth

Cloud Run

Vertex AI

CI/CD pipelines

Security best practices

Dev enablement

Communication

Education

Cloud certification

Tools

Terraform

GitLab CI

Docker

Cloud Run

Vertex AI

OAuth

Langfuse

Langgraph

ComfyUI

LoRAs

LLMs

Job description

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.