R&D Senior DevOps Engineer Norwich

Hybrid role (inc time at our Norwich office)

Artlist is a leading creative technology company on a mission to empower creators and brands to bring their vision to life with video. Offering cutting-edge AI tools and models for image, video, and voiceover creation, alongside high quality creative assets and powerful editing tools, Artlist enables creators to stay on trend, and achieve their creative goals. Trusted by over 30 million creators worldwide and top brands including Google, Amazon, Microsoft, and Versace, Artlist provides a seamless, subscription based platform with a global license, giving creators everything they need to produce professional video content efficiently. For more information, visitartlist.io .

We're looking for a skilled DevOps Engineer to join our R&D team and help us scale our infrastructure and delivery pipelines.

Key Responsibilities

Maintain, optimise, and troubleshoot GitLab CI pipelines to enable smooth, automated, and reliable software delivery.

Infrastructure as Code & Automation

Build, manage, and automate infrastructure using tools such as Terraform, ensuring scalable, secure, and reproducible environments.

Kubernetes & Cloud Operations

Deploy, maintain, and monitor cloud based workloads on Kubernetes and AWS, ensuring performance, reliability, and cost efficiency.

Deployment Tooling & Configuration Management

Develop and manage infrastructure templating and deployment workflows using tools such as Helm, supporting consistent and scalable application releases.

Monitor system health using industry standard tools, respond to alerts, investigate incidents, and implement long term remediation to improve system resilience.

Partner with development, product, and security teams to improve build processes, enhance platform reliability, and resolve infrastructure challenges.

Identify opportunities to automate processes, improve performance, reduce manual overhead, and enhance the developer experience across R&D.

Requirements

• Strong experience with cloud providers (e.g AWS)
• Experience with Gitlab CI
• Strong foundations with Git and GitOps methodologies
• Experience with Infrastructure as Code tools (e.g. Terraform)
• Experience with infrastructure templating and deployment tools (e.g. Helm).
• Scripting abilities:Python
• Proven experience with container technologies(e.g. Kubernetes)
• Creative troubleshooting skills and out-of-the-box thinking
• Ability to learn various technologies and topics
• General knowledge of the generative AI space and related concepts (e.g models, tokens, credits, prompts, context windows)