Senior DevOps Engineer

A fast-growing, AI-first company is transforming how people create visual content—powering popular apps used by millions, and helping creators and brands grow through cutting-edge technology.

We're looking for an experienced Infrastructure / ML Platform Engineer to join our Machine Learning Platform team . This team builds and supports the platform that powers advanced AI models, helping bring research into production at scale.

Hybrid role – 3 days onsite in Central London

What you’ll do:

• Design, build, and maintain a scalable and reliable ML serving platform
• Develop cloud infrastructure and internal tools to support research and engineering teams
• Set up and manage CI/CD pipelines and monitoring systems
• Build self-serve tools to simplify deployment and development
• Share best practices across teams and help level up the platform
• Take part in an on-call rotation (weekends included, with extra pay)

What we’re looking for:

• 5+ years of experience running scalable SaaS systems in GCP, AWS, or Azure
• 3+ years with Kubernetes, Helm/Kustomize, and tools like Terraform or Pulumi
• Experience with microservices, containerized environments, and GitOps (e.g. ArgoCD)
• Familiarity with CI/CD tools like GitHub Actions, Jenkins, or CircleCI
• Hands-on with monitoring tools like Prometheus and Grafana

Nice to have:

• Experience building Developer Experience (DevX) tools and workflows
• Familiarity with GPU setups (CUDA, TensorFlow, etc.)
• Strong networking and network security knowledge
• Linux/Unix skills and shell scripting
• A degree in Computer Science or a related field

✨ What we offer:

• Hybrid work – 3 days onsite in a vibrant Central London office
• Three-stage interview process – straightforward and transparent
• Competitive salary and benefits
• Work on real-world AI challenges with smart, passionate people