About the role
Are you a DevOps or Cloud Engineer looking to take your experience into the rapidly evolving world of Enterprise AI? We're looking for a DevOps Engineer – Enterprise AI to help build, configure and operate the platforms and services that enable AI solutions to move from evaluation into secure, scalable and reliable production use. Working as part of our Enterprise AI team, you'll sit at the intersection of DevOps, cloud engineering, AI and MLOps, helping us create the technical foundations that allow AI solutions to be deployed effectively across the organisation.
Responsibilities
•Configuring and maintaining secure, scalable environments and services for AI workloads.
•Building repeatable deployment processes for applications, AI services, models, prompts and configuration.
•Supporting the integration of cloud, AI and automation services with enterprise systems.
•Applying DevOps and MLOps principles across testing, release management and controlled deployment.
•Using automation and scripting to improve deployment, integration and operational processes.
•Monitoring service performance, availability, reliability, quality, usage and cost.
•Implementing appropriate identity, access, secrets management and security controls.
•Supporting incident resolution, troubleshooting and root-cause analysis.
•Helping establish monitoring, alerting, backup, recovery and service operating procedures.
•Optimising cloud consumption, platform subscriptions, licensing and capacity.
•Creating reusable templates, documentation and self-service capabilities for technical teams.
•Working with security, privacy, risk and compliance colleagues to support responsible and governed use of AI.
•Collaborating with technology providers and delivery partners to continuously improve our platforms and services.
Requirements
•Good knowledge of DevOps principles including source control, testing, release management and deployment processes.
•Hands-on experience configuring or administering a major cloud or AI platform.
•Experience working with cloud services including identity, networking, storage, access and managed services.
•Experience configuring managed or packaged technology services and integrating them with enterprise systems.
•Knowledge of CI/CD, configuration management and controlled promotion between environments.
•Scripting or automation experience using Python, shell or equivalent technologies.
•An understanding of APIs, secrets management, vulnerability management and secure configuration.
•Experience monitoring production services using logs, metrics and operational data.
•Strong troubleshooting and root-cause analysis skills.
•Experience working within multidisciplinary agile, product or engineering teams.
•Strong communication skills with the ability to explain technical issues, risks and recommendations clearly.
Nice to have
•Experience with containers, infrastructure as code, MLOps, generative AI services or AI platforms would be particularly beneficial, alongside an understanding of data protection, responsible AI and model governance.
•A relevant degree or equivalent practical experience is welcomed, while cloud, DevOps, security, service management or platform certifications would be advantageous.
Conditions
You become part of a global community built on openness, inclusion and genuine collaboration. Your development truly matters to us. With access to learning pathways, mentoring and career opportunities across functions and countries, you'll be supported to stretch your skills, explore new directions and stay future-ready in a changing world. You'll have opportunities to make a difference through volunteering, sustainability initiatives and community programmes that reflect our shared values and commitment to positive impact. You'll benefit from fair rewards, flexible working, wellbeing resources and real recognition - including programmes such as the Imagine. Change. Awards, where colleagues celebrate each other's achievements.
