Location
Chancery Lane, London, United Kingdom

Hours
Permanent role with a preferred hybrid working model. Flexible remote working available with occasional in-person meetings at the London studio.

Salary
Negotiable

About the Role
Join Framestore’s Oscar-winning Technology team, where innovation drives everything we do—from developing new techniques and ideas to creating cutting-edge ways to tell our clients’ stories. This senior engineering role focuses on a modern, cloud-forward approach to platform development. You will work on a greenfield, AI-driven SaaS platform, building modern tools that integrate state-of-the-art technology with Framestore's world-class filmmaking and media production workflows. Your responsibilities will include deploying, scaling, and securing 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 team to ship valuable features to production with high velocity and reliability. Working in 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 evolves.

Experience
- Strong proficiency in Python and modern web frameworks such as FastAPI and Asyncio.
- Proven senior experience developing, operating, and scaling cloud-native SaaS applications and serverless architectures.
- Hands-on expertise with containerisation (Docker) and serverless platforms (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.
- Experience working within an Agile environment is desirable.

About you
- Passionate about developer enablement, improving team velocity, and fostering a "testable software" mentality.
- Excellent communication skills to connect effectively with individuals and teams.
- Motivated to embed robust enterprise cloud security practices and ensure compliance.
- Ability to implement and enhance platform telemetry, observability, logging, and monitoring systems.
- Collaborative mindset to work alongside artists, pipeline, and systems teams.

Qualifications
- You might also have experience designing multi-cloud setups spanning AWS, GCP, Azure, and local physical servers.
- Knowledge of generative AI workflows integration or orchestration (ComfyUI, LoRAs, LLMs, diffusion models).
- Familiarity with observability, LLM evaluation, and prompt tracing frameworks (Langfuse, Langgraph).
- Understanding of GPU workload scaling and compute optimisation for AI models.
- A professional-level cloud certification is a plus.