About the role
Role Overview
Framestore’s Technology team is seeking a Senior Cloud Platform DevOps Engineer to work on a greenfield, AI-driven SaaS platform. This role involves building tools that bridge state-of-the-art technology with professional film-making and media production workflows.
Requirements:
- Must have the right to work in the UK. (No VISA sponsorship available).
- Permanent role with a hybrid working model.
- Requirement to meet with the team in the London studio in-person occasionally.
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.
Qualifications
Essential Skills:
- 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.
Preferred Experience:
- 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.
Additional Information
- The London studio is fully accessible with step-free entry, accessible toilets on all floors, and quiet spaces.
- Framestore is committed to supporting disabled colleagues and providing an inclusive workplace.
- Requirements listed are guidelines, not hard and fast rules; candidates with transferable skills are encouraged to apply.