Location
Chancery Lane, London, United Kingdom

Hours
Full Time

Salary
Negotiable

About the Role
At Framestore’s Oscar-winning Technology team, innovation is at the heart of what we do, whether developing new techniques, ideas, or creative ways to tell our clients’ stories. We combine talent and technology to bring life to everything we create, driven by creativity and inspired by the future.

This is a new, hands-on role within our team where you will play a vital part in building the future of our cloud-first and machine learning strategies. You will write core software and automation that drives these initiatives, actively developing high-availability automation workflows and building resilient big data pipelines that scale compute across the business.

You will provide cloud and systems support for developers building complex agentic applications while driving DevOps best practices to ensure our cloud services are built for the future. Your work will span cloud-native practices, machine learning infrastructure, and intelligent systems that keep our environment secure, resilient, and cost-effective.

Key responsibilities include:
- Building highly available automation workflows and orchestrators enabling distributed builds, cross-platform compute scaling, and deployment of AI agents and data-heavy models
- Designing and implementing event-driven automation and self-healing cloud systems that proactively detect, diagnose, and remediate infrastructure anomalies
- Architecting robust cloud security frameworks, identity management, and automated governance baselines across our global footprint
- Designing and optimising big data infrastructure for handling large metadata datasets and media assets while identifying opportunities to reduce infrastructure spend without compromising performance

Experience
- Designing high-availability, multi-environment cloud infrastructure using Infrastructure as Code (ideally Terraform) and container orchestration
- Proven track record in the design and management of cloud-based data systems such as Snowflake or BigQuery
- Strong software background (ideally Python) with experience architecting scalable services and APIs
- Building, scaling, and securing distributed automation pipelines (e.g., GitLab CI) focusing on performance, caching, and testing frameworks
- Supporting engineering teams, championing DevSecOps best practices, and collaborating with technical leadership
- Strong communication skills to bridge infrastructure engineering and development team workflows

Nice-to-have Skills
- Experience designing setups spanning cloud providers and local physical servers
- Knowledge of virtualisation of service applications
- Advanced monitoring experience using tools such as Datadog, Prometheus, or ELK
- Professional-level cloud certification
- Production experience managing complex Kubernetes clusters and high-scale Docker environments
- Experience using advanced data platform features like vector embeddings, clustering, and analytics to enrich large-scale datasets

About you
Innovative, proactive, and collaborative with a passion for cloud technologies and automation. You thrive in a fast-paced environment and are committed to building secure, resilient, and scalable cloud infrastructure that supports cutting-edge creative projects.

Qualifications
Relevant professional certifications and demonstrable experience in cloud infrastructure, software development, and DevOps practices are highly desirable.